https://video.osgeo.org/about/instancehttps://video.osgeo.org/videos/localhttps://video.osgeo.org/w/hPDogDf8rTc7foJBqL7ks3https://video.osgeo.org/lazy-static/thumbnails/67fb4e34-8811-444d-b616-ce627ed05a5d.jpgPostresVision 2021: What can you do with PostGIS?PostresVision 2021: What can you do with PostGIS?https://video.osgeo.org/videos/embed/883936e5-2370-4071-b5cf-d62983f87802https://video.osgeo.org/w/xb9gWrnGCqzX7YzVw97bjHhttps://video.osgeo.org/lazy-static/thumbnails/4f20025e-45db-4f3e-9b1a-39f3c6e0fe3a.jpgVicky singing at foss4g2022Vicky Vergara singing "House Of The Rising Sun" on the stage of FOSS4G2022 social dinner, in August 25, 2022 at 22:42 CEST Andrea Antonello on guitarhttps://video.osgeo.org/videos/embed/fc75d5ef-aa12-4fc3-9993-ac4a941df395https://video.osgeo.org/w/3rKS2ZkfUzFutpU7XPTH4Shttps://video.osgeo.org/lazy-static/thumbnails/282ebab3-6bab-4c89-8e98-5037bb5a8d5b.jpgFOSS4G PDX 2014: Mending Spatial Data with PostGIS — LEO HSU, PARAGON CORPORATION-HDPresentation given by Leo Hsu at FOSS4G PDX 2014https://video.osgeo.org/videos/embed/13cae724-1b24-4411-8087-c2d5576fb16chttps://video.osgeo.org/w/o5Ry55Y74cjPDXwbgBx9E8https://video.osgeo.org/lazy-static/thumbnails/4c0222cd-990b-4bd7-863f-f10e214e6455.jpgPGCon2022: PostGIS family of ExtensionsPGCon2022: PostGIS family of Extensionshttps://video.osgeo.org/videos/embed/b2d6904d-8b9b-4299-86a5-8d18ad8038abhttps://video.osgeo.org/w/rHHXCTdKJxwgfd9JKVyhBUhttps://video.osgeo.org/lazy-static/thumbnails/e8ae3960-3733-4b1d-bcab-d00fe7257a85.jpgFOSS4G PDX 2014: Writing better PostGIS queriesFOSS4G PDX 2014: Writing better PostGIS querieshttps://video.osgeo.org/videos/embed/d047d1c2-3cf3-4a38-8a5a-a102d0220412https://video.osgeo.org/w/sMoQV5aEthTtBuiL4V37ZLhttps://video.osgeo.org/lazy-static/thumbnails/92106d81-7c26-4f16-b9c3-0c90c6503ca1.jpgnorCal_25jul2022_weatherSmSummer weather broadcast for the Sacramento, California area [fair use media 2022] - CBS Sacramento CBS13 @CBSSacramento Official Twitter account of CBS13 in Sacramento. Follow us for breaking local and California news and discussion. Retweets =/= endorsements. Sacramento, CACBSSacramento.comJoined July 2008 https://video.osgeo.org/videos/embed/d8e4270c-5838-45c0-b555-40c5d18618eehttps://video.osgeo.org/w/7rG6RmBFaKh6iHxkzYjka1https://video.osgeo.org/lazy-static/thumbnails/24213f2a-a73f-437f-8955-5fb49839c9c9.jpgdrKolden_feb21University of California Merced - public information interview with Crystal Kolden, PhD, an Associate Professor of Geography, Management of Complex Systems group, on western Sierra Mountains forest health. https://video.osgeo.org/videos/embed/342d23a6-2d40-4e2d-a15c-a1c4eb93fae6https://video.osgeo.org/w/bCTqzNqJ9zR1qHoJuTsmrohttps://video.osgeo.org/lazy-static/thumbnails/a4da6ac8-8c38-4a7d-a177-e4dd94003998.jpgPoint Cloud - RealIvánSánchez at #FOSS4GE 2015Iván performs at the FOSS4G Europe in July 2015, held at Como University.https://video.osgeo.org/videos/embed/5621da77-9f2d-4847-9487-42c34bb62ad0https://video.osgeo.org/w/4UgnkuMkc3Qx8UMe7ER9Wohttps://video.osgeo.org/lazy-static/thumbnails/14bc14d5-1557-4a94-89c0-ddc5b8c7ccf8.jpgVTS_02_1CNN Broadcast Video fair use 2023 https://video.osgeo.org/videos/embed/1f979013-dafc-4407-9a69-beb6e456d8fahttps://video.osgeo.org/w/wZ1VkM7xwxMNFfHuN8JZS3https://video.osgeo.org/lazy-static/thumbnails/8662a80c-bff5-430f-b0cb-77538958620b.jpgsierra_weather_14mar23.mp4California Storm: Another atmospheric river hits California bringing wind, significant rain and fluctuating snow levels. Flooding concerns, high wind warning as an atmospheric river hits Northern California. 2023 © ABC10 News for Northern California - The YouTube home of ABC10 in Sacramento!https://video.osgeo.org/videos/embed/fae81f17-dd4f-4e53-a504-7320f900329ahttps://video.osgeo.org/w/qC7HNRU783f6aqpysigF87https://video.osgeo.org/lazy-static/thumbnails/023be272-22d3-4c60-9719-de88aa2799db.jpgpr-2521-simplify-dijkstra-codeHow PR 2521 was created Details of the commits can be found in: https://github.com/pgRouting/pgrouting/pull/2521https://video.osgeo.org/videos/embed/c7663ed3-98fa-4c0e-bcef-1ece3d9d7a40https://video.osgeo.org/w/jDVtFr8Zvg1sgUH3tMvSLJhttps://video.osgeo.org/lazy-static/thumbnails/d975b572-8e18-4fbb-bdac-d9423f1809b1.jpgCaldorFire_30aug2021Caldor Fire on local television news (fair-use)https://video.osgeo.org/videos/embed/970ff8cd-c10e-47f8-984d-3441dd71f262https://video.osgeo.org/w/ijv7cpY81zQTjdZErBqSi9https://video.osgeo.org/lazy-static/thumbnails/06401e0a-fdc1-4b48-89dc-682e0d6c1985.jpgpgtap by cvvergara 12 julypgtap by cvvergarahttps://video.osgeo.org/videos/embed/8c40aecc-8048-4003-91d3-d1ada754ae7ahttps://video.osgeo.org/w/oVskta1HpqeyYcM52jYkYbhttps://video.osgeo.org/lazy-static/thumbnails/3cffe09a-8a52-424a-b383-77c139d6efcc.jpgFOSS4G - Solving Spatial Problems with PostGISWe'll look at 10 problems commonly solved with PostGIS. The focus will be the use of PostGIS 3.1+ and PostgreSQL 13+.. Examples will be in areas of proximity analysis, geocoding, aggregation of spatial statistics, web mapping, and some unconventional uses of PostGIS. In this talk we'll explore the following PostGIS related extensions and how they can be used to load and analyze data. We'll also highlight new features in newer versions of PostGIS that simplify solving of problems. Extension coverage will be: * postgs - the core extension * postgis_raster - extension packaged with postgis for raster analysis * postgis_topology - postgis extension commonly used for data cleanup * postgis_sfcgal - postgis extension with advanced processing and 3D support * ogrfdw - a PostgreSQL spatial foreign data wrapper extension Authors and Affiliations – Regina Obe is a co-founder of Paragon Corporation, a Boston-based PostgreSQL/PostGIS consulting company. She is a member of the PostGIS, GEOS, and pgRouting project steering committees and development teams. She is also a member of the OSGeo System Administration team, She is the maintainer of the PostGIS application stackbuilder Windows Bundle. She has also co-authored several books on PostGIS, pgRouting, and PostgreSQL with her husband, Leo Hsu. Track – Use cases & applications Topic – Data visualization: spatial analysis, manipulation and visualization Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/b99fb343-fa24-4dff-9de8-b6eef278f466https://video.osgeo.org/w/eQYRWeDVyqMfpYetcArtjEhttps://video.osgeo.org/lazy-static/thumbnails/7b68938e-ba92-4ed6-a1c5-d3d867704dec.jpgFOSS4G 2024 invitation video Belém (Brazil)https://www.osgeo.org/initiatives/foss4g/ https://2024.foss4g.org/https://video.osgeo.org/videos/embed/701d8b9b-bf7c-4330-a7ad-e92c4b623e2ehttps://video.osgeo.org/w/hNdChRxqKR2yi3ytFjyFuvhttps://video.osgeo.org/lazy-static/thumbnails/df74d155-33b7-483e-b112-256cb4cc59f3.jpgFOSS4G 2021 - How hale»studio helps save forests in EuropeClimate change affects forests across the globe. In Europe, up to half of all tree stands are vulnerable to factors traced back to global warming. Forest owners thus need to decide what stands to replant, and what tree species to plant. Since change is happening very fast, they cannot rely on what worked previously, but have to get data-based decision support. In this talk, we will show how harmonised data compliant to international standards such as INSPIRE can be used to introduce solutions to urgent problems like this one at scale. A key ingredient is to effectively harmonise data and to preprocess it in such a way that state of the art analytical tools such as CNNs can process it easily. hale»studio is an open-source environment for the analysis and transformation of complex, structured data. Traditionally, it is mostly used to easily transform data to open standards such as GeoSciML, XPlanGML, CityGML and INSPIRE. However, with inbuilt model transformations, it can also be used to effectively process harmonised data to make it more useable, e.g. by transforming complex GML into useable GeoJSON or GeoPackage – or by directly outputting data structures fit for ML frameworks. In the talk, we will introduce hale»studio’s declarative mapping and model transformation workflow and how it can be leveraged to significantly improve the quality and usefulness of your data. Learn more about how hale»studio, an open-source ETL tool, can help you harmonize data to open standards and ultimately help solve mission-critical issues. Authors and Affiliations – Reitz, Thorsten wetransform GmbH, Germany Track – Software Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/8806367c-ee33-4e85-aa2f-33bae7b76f31https://video.osgeo.org/w/84ajtEhVrtzTR6oWQaCn2hhttps://video.osgeo.org/lazy-static/thumbnails/6ee78647-4709-4922-9ae5-416c1f29b39a.jpgFOSS4G 2021 - Get Closer to the Action Become a Partner in Local Climate ActionWhile the climate crisis is a global one, the actions we take to adapt to our new reality will be local / regional by necessity. Communities around the globe have varying levels of adaptive capacity and generally only the largest have the financial resources, human capital and political will to respond fully. For most, feasible solutions are hard to find and evaluate, and the funds required to implement them are beyond reach. What those communities need is skilled people that can interpret climate data, decision-ready analytics, and available resources to help them take on-the-ground action--unfortunately that type of work doesn’t happen in any public repo or open data lake. The White House is making addressing climate change equitably one of its highest priorities, as evidenced by the January 27th Executive Order (14008). In response, NOAA will be leading the charge to train a vast workforce to leverage existing climate data and tools--growing the community of resilience professionals to accelerate community action. In this session, I hope to challenge you to think about ways you can ally yourself with those closer to the action-- those making decisions about how to protect our people, property, and cultures for the next generation. The White House is calling for a government-wide response and encouraging everyone from all sectors to come to the table. I encourage you all to join them. Authors and Affiliations – Cahail, Jessica Azavea, Philadephia, PA USA Track – Use cases & applications Topic – FOSS4G for Sustainable Development Goals (SDG) Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/3920f1d7-ed42-4b6d-9d20-bf9cdb7c00eehttps://video.osgeo.org/w/bvEdgeXhUWQiJPqYseWftBhttps://video.osgeo.org/lazy-static/thumbnails/38488eca-1617-447b-a2cf-e5057ffc8bb2.jpgFOSS4G 2021 - Practical Geospatial Data Versioning with KartWe’re drowning in data, but the geospatial world lags badly behind in versioning tools compared to our software counterparts. Kart (https://www.kartproject.org – formerly Sno) is solving this with a practical open tool for versioning datasets, enabling you to work more efficiently and collaborate better. Kart allows you to quickly and easily manage history, branches, data schemas, and synchronisation for large & small datasets between different working copy formats and operating systems. Modern version control unlocks efficient collaboration, both within teams and across organisations meaning everyone stays on the same page, you can review and trace changes easily: ultimately using your time more efficiently. We’ll introduce you to Kart, demonstrate some of the key features, and highlight what’s coming next on our roadmap. Authors and Affiliations – Campbell, Hamish (1) Coup, Robert (2) (1) Koordinates, New Zealand (2) Koordinates, Scotland Track – Software Topic – Data collection, data sharing, data science, open data, big data, data exploitation platforms Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/551f812a-bef3-4e94-9543-36e828656fb9https://video.osgeo.org/w/rNhA3PDiLodssQeqogSvUZhttps://video.osgeo.org/lazy-static/thumbnails/3f7ecb22-6e15-4876-a21e-db4fbd0125c9.jpgFOSS4G 2021 - The role of open source python package geoserver rest in Web GIS developmentThis work describes geoserver-rest, an open-source python package that can manage the geospatial data in a geoserver which is helpful for uploading, editing, and deleting the raster/vector layers from various sources. It is also useful for generating the style/legend from the uploaded geospatial data. Thus, generated legend can be used for visualization of maps in the web-GIS platform. The package is successfully used to build the web-GIS portal for agricultural datasets of Afghanistan, which has around 6000 map layers. The main benefit that geoserver-rest provides to this project is the ability to upload the data to the geoserver and create the styles file dynamically. Thus, created style files are directly linked to the corresponding layer and provide the Web Mapping Service (WMS) standard and visualize in an interactive way. The geoserver-rest is the open-source spatial data management library written in python based on the geoserver API. Python is the chosen language because it is easy to use, object-oriented runs on all the major Operating Systems (OS) and already has thousands of libraries and frameworks. It is one of the leading technologies for web development. Implementation of geoserver-rest in python will significantly enhance the approach of GIS application development. Since the package is developed in the python library, it can be useful for the web platform as well as desktop applications development. Rather than serving the data in client and server, it also generates the style files and creates the legend dynamically by reading the uploaded dataset. The automation for geospatial data sharing and dynamic style creation feature makes it unique and more popular and useful in the latest web-GIS development works. It will be very helpful for editing, updating, and deleting large sets of data. Authors and Affiliations – Tek Bahadur Kshetri (1) Angsana Chaksan (1) Shraddha Sharma (1) (1) Geoinformatics Center (GIC), Asian Institute of Technology (AIT...https://video.osgeo.org/videos/embed/d0eae6ec-bbfa-471b-a333-0570689f1f15https://video.osgeo.org/w/ixMGfjMiaSzkKGpM9RhMP8https://video.osgeo.org/lazy-static/thumbnails/dd21abda-1ed8-4d03-a1ab-276406e1e67d.jpgFOSS4G 2021 - Innersource : how opensource spirit is spreading among big corpInnersource is the use of open source practices... within companies for their own and internal needs. Software development is no longer an ancillary aspect of the activities of large companies and many actors believe that "classic" project methodologies lead to failure and are a source of suffering for the teams. As a consequence, the innersource movement is rising, and is supported by the spread of so-called agile methodologies because it is a broader reflection on "how to produce sustainable, quality IT projects". What are the objective and quantified reasons that lead companies to adopt innersource approach ? What is the expected return on investment ? What are the limits of the approach and its links with open source in general ? How is Innersource positive for the OpenSource movement ? We will present how specific companies put innersource into action, as a few of them allow public communication of their program. The approach is wide-ranging because it deals with technical aspects, but also, and above all : governance of projects human organization necessary for its operations legal aspects of ownership and IP communication carried out by the company Innersource programs also provides feedbacks on successes and failures, improvements needed and key issues. These experiences can be very useful for opensource communities to improve their own processes. We will broaden the presentation by showing how the choice of IT project methods translates into human systems. Authors and Affiliations – Vincent Picavet - Oslandia Bertrand Parpoil - Oslandia Track – Transition to FOSS4G Topic – Business powered by FOSS4G Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/8e1b92ef-536f-4223-a671-85c379384e51https://video.osgeo.org/w/22urGrKkVttHjCYFoQMnc4https://video.osgeo.org/lazy-static/thumbnails/afbb5461-648f-4aad-9b1f-65c7964157e9.jpgFOSS4G 2021 - Fully automated, highly detailed, 3D building models for a whole countryIn this talk we take you through our fully automated process that we developed for generating highly detailed building models for the Netherlands, the 3D BAG. Only open data and open source tools are involved. Semantic 3D city models, or digital twins, are one of the cornerstones of the so-called "smart city" applications. Although several regions have them, they are still relatively rare, outdated and difficult to access. This is often due to their price, since the most common methods for generating highly detailed models involves the manual modeling of individual objects. We developed a fully automated process for generating high detail (Level of Detail 2.2) building models for the whole Netherlands, which you can freely use, see 3D BAG. In this talk we take you through our whole building reconstruction process, in which we only use open source tools, like CGAL, GDAL, PostGIS, and more. We share the lessons we learned, and the main stumbling blocks we encountered. This project has received funding from the European Research Council (ERC) under the European Unions Horizon2020 Research & Innovation Programme (grant agreement no. 677312 UMnD: Urban modelling in higher dimensions). Authors and Affiliations – Dukai, Balázs (1)(2) Peters, Ravi (1)(2) (1) 3D geoinformation research group, TU Delft, the Netherlands (2) 3DGI, the Netherlands Requirements for the Attendees – Visit https://3dbag.nl Track – Open data Topic – Data collection, data sharing, data science, open data, big data, data exploitation platforms Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/084e693c-fa62-42af-a4ca-1a4a3a5501fdhttps://video.osgeo.org/w/48EtG4DTHpUWP2DSjJck23https://video.osgeo.org/lazy-static/thumbnails/7a570503-b1d2-499f-97d0-ae787ad5b609.jpgFOSS4G 2021 - QField Features FrenzyQField is the mobile data collection app for QGIS with more than 100K active monthly users and well over 350K downloads. Discover what it has to offer and how, thanks to seamless synchronisation with QFieldCloud, it can help make your teams' fieldwork sessions pleasant and efficient. QField combines a minimal design with sophisticated technology that allows intuitive viewing and editing of data. QField’s map display is powered by the QGIS rendering engine, so the results are identical and come with the full range of styling possibilities available on the desktop. Editing forms on QField respect the QGIS configuration and are optimised for touch interaction. QField works with QGIS allowing users to set up maps and forms in QGIS on their workstation, and deploy those in the field. Leveraging QGIS' data providers - OGR, GDAL, PostGIS, and more - QField supports most current file formats. And if you just want quickly to check that dataset that was sent to you, QField will seamlessly open it adding a basemap for your convenience. QGIS is efficient and comfortable in everyday office life. However, data collection often begins on the field. Whether in shiver or sunshine, working outdoors requires a solution that is optimized for mobile devices. QField [1] is the perfect companion of QGIS. The off-the-shelf application allows intuitive viewing and editing of data. With a slick user interface, QField allows using QGIS projects on tablets and mobiles. QField’s map display is powered by the QGIS rendering engine, so the results are identical and come with the full range of styling possibilities available on the desktop. Editing forms on QField respect the QGIS configuration and are optimised for touch interaction. The seamless cloud integration QFieldCloud allows on- and offline hybrid fieldwork as well as team management with granular user permissions. Features such as advanced topological editing, QML widgets, external GNSS connectivity or camera integration make QF...https://video.osgeo.org/videos/embed/195d55bd-c026-4d45-ad88-d0ce5c8d0f80https://video.osgeo.org/w/k1agiwMbg9eZNEmC3bMMFshttps://video.osgeo.org/lazy-static/thumbnails/01ff4238-6979-4c63-996a-631d98632664.jpgFOSS4G 2021 - Seamless fieldwork thanks to QFieldCloudQFieldCloud's unique technology allows your team to focus on what's important, making sure you efficiently get the best field data possible. Thanks to the tight integration with the leading GIS fieldwork app QField, your team will be able to start surveying and digitising data in no time. Discover what QFieldCloud has to offer and how, thanks to seamless integration with your SDI, it can help make your teams' fieldwork sessions pleasant and efficient. And if you want to roll out your own customized version, nothing will stop you, QFieldCloud is open source! QFieldCloud is a SaaS (software as a service) solution built by OPENGIS.ch that allows your team to seamlessly integrate field data to your SDI. QFieldCloud is written in python using the Django Web framework that encourages rapid development and clean, pragmatic designs. QField is the mobile data collection app for QGIS with more than 110K active monthly users and 400K downloads. Discover how the seamless synchronisation with QFieldCloud can help make your teams' fieldwork sessions pleasant and efficient. Authors and Affiliations – Marco Bernasocchi OPENGIS.ch Track – Software Topic – Data collection, data sharing, data science, open data, big data, data exploitation platforms Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/99e357f4-cc6a-41ca-ac02-054c950e702chttps://video.osgeo.org/w/idrWq8ZTHNtgdyCtwhUh71https://video.osgeo.org/lazy-static/thumbnails/c5c1b52e-fd8e-45e1-932e-ff574e287088.jpgFOSS4G 2021 - Copernicus and the Energy ChallengeThe energy sector will drastically change in the following years; multiple agreements have been signed by countries with the purpose to reduce carbon emission and contain the global temperature increase. Besides, in the next years the energy demand will increase with the growth of the Information and Communications Technology sector. To combine these two aspects, future energy needs to be produced with renewable resources and less with fossil fuels. An opportunity to discover and plan the use of renewable energy resources are geospatial data derived from satellite acquisitions. The European Earth Observation programme Copernicus provides multiple datasets in an Open Science approach. Within this paper, multiple datasets offered by Copernicus services are presented in relation to their exploitation for the energy system analysis, with a particular attention to renewable energy. The datasets will be analysed according to their properties and possibility of usage. Additional Copernicus satellite derived data that can benefit the emerging topic of the food-energy-water nexus are finally presented to point out significant development in the energy sector which is recently claiming growing attention. In 2015 the Paris Agreement was signed by 196 Parties with the purpose to keep the increase in global average temperature to well below two Celsius degrees above the pre-industrial levels. In 2019, the European Commission proposed the new European Green Deal, supported the creation of "An Open, Democratic and Sustainable Society", and stated the necessity of reaching climate-neutrality by 2050. But, as reported in the plan, the energy demand will grow in the coming years due to the increase in the ICT sector. These two requests can be satisfied only with the use of renewable energy, which is based on natural resources, such as sunlight, wind, rain, waves, geothermal heat and biomass and the drastic reduction of the energy produced by burning fossil fuels such as oil, c...https://video.osgeo.org/videos/embed/8b684477-9375-48cc-b6dd-ae6f2d022c3chttps://video.osgeo.org/w/wCrjKVQ2eN8RaW6UTAxREWhttps://video.osgeo.org/lazy-static/thumbnails/a9df49a7-b95e-4473-b6be-b0cbb6b763ad.jpgFOSS4G 2021 - Towards the establishment of a new opensource geospatial remote sensing VRE for ...Towards the establishment of a new opensource geospatial remote sensing VRE for e-Biodiversity Ecosystem Services and Climate Change modelling and adaptation LifeWatch ERIC e-Science panEuropean Infrastructure for Biodiversity and Ecosystem Research https://www.lifewatch.eu is mainly aimed to facilitate the access to their distributed data, information and knowledge resources and services, also providing modelling capabilities for understanding the complexity of associated Climate Change processes for research and adaptation purposes, as well as addressed to decision makers and citizen scientists. One of our VREs focuses on the historical time-series study and climate change projections at high resolution, which will be generated by dynamical downscaling of the General Circulation Models (GCMs). To this purpose, the regional climate model Weather Research and Forecasting (WRF) will be used to simulate high-mountains areas climate scenarios, and thus, solving the limitations of the vast spatial resolution of GCMs. The observational database will validate present WRF models-based simulations. This will create high-res regionalized projections in high mountains areas using the state-of-art of open-source geospatial tools. Please see the abstract above. Authors and Affiliations – LifeWatch ERIC Track – Transition to FOSS4G Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/f8088aa7-b216-4ba6-9915-becf49aa980ehttps://video.osgeo.org/w/vB4b7CxPtSFsGH5SGoKWwahttps://video.osgeo.org/lazy-static/thumbnails/6901b71c-82e4-46e0-93ed-0d446e82c17d.jpgFOSS4G 2021 - Open remote sensing data to analyze the effectiveness of Payments for Ecosystem.......Open remote sensing data to analyze the effectiveness of Payments for Ecosystem Services in the Sofala Community Carbon Project - Mozambique Open satellite data are key to data-driven evidence of human-environment interactions and built the basis for policy-relevant information in the domain of sustainable development. For instance, actions to avoid deforestation or to support the increase of carbon stocks through the use of agroforestry systems, depend on geospatial information products. One example is the project “Impact of terminated Payments for Ecosystem Services (PES) on carbon stocks, deforestation, collective action and intrinsic motivations for conservation” (IMPACTED), which is evaluating several long-term aspects of asset-building PES projects in Mozambique. This evaluation is supported through Earth Observation based impact monitoring, conducted by Remote Sensing Solutions GmbH. In this project, we use vegetation seasonality-based mapping methods and develop cutting edge mapping algorithms derived from open remote sensing data sets, such as Landsat Satellite Mission, jointly managed by NASA and the U.S. Geological Survey, and Sentinel Missions from Copernicus. Please see the abstract above. Talk, Climate Action GEO Authors and Affiliations – Dr. Flávia de Souza Mendes, Remote Sensing Solutions GmbH Track – Use cases & applications Topic – Sensors, remote sensing, laser-scanning, structure from motion Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/efbe0266-51a7-497a-a1a0-89665e950d05https://video.osgeo.org/w/hL283tsMp1peEjDTpUDHv3https://video.osgeo.org/lazy-static/thumbnails/c1d3bab2-66fe-4f2b-9c73-68dd5baa587c.jpgFOSS4G 2021 - Bioacoustics and Machine Learning for Avian Species Presence SurveysThe complex realities of changing climate and biodiversity are imperfectly understood. Bioacoustics is a conservation tool, going where human ears cannot stay and listen. Locally-informed machine learning analysis leads to big data insights, empowering informed decision making. Networks of bioacoustic recorders in some of Earth’s most biodiverse and vulnerable regions (near Everest in Nepal, Madidi National Park in Bolivia, and the Chesapeake Bay watershed in the United States) are bearing witness to a changing climate. More than 1850 days of audio data already collected provide a powerful dataset for studying species distributions. Machine learning (ML) turns this data into information to understand climate change and biodiversity. MLmodels are being trained for a dozen species in Nepal, Bolivia, and USA. Analyzed data show location and time of species vocalization. Modeling can expand rapidly as labeled data is collaboratively created by local experts. Preliminary results from Nepal show that a rare bird species was identified 1,000 feet higher in elevation than previously recorded: probable proof of concept that bird species are migrating uphill with changing climate. Bioacoustics is a valuable tool for species population surveys and biodiversity monitoring. Please see the abstract above. Authors and Affiliations – Naomi Bates, Songs of Adaptation Project Director and Associate Professor at Future Generations University Track – Transition to FOSS4G Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/87b7a2b2-e9a3-4597-abb7-2d1c554f7f00https://video.osgeo.org/w/6ALFiZtMPgYQoQ5aAfsSAjhttps://video.osgeo.org/lazy-static/thumbnails/78be37e1-b307-4043-9551-9515fd85a048.jpgFOSS4G 2021 - Open-source seagrass and blue carbon mapping in support of the nationally ........Open-source seagrass and blue carbon mapping in support of the nationally determined contributions Seagrasses are one of the world’s most productive ecosystems, playing an important role in climate change mitigation and adaptation. They are vast natural carbon sinks which have important yet underestimated implications into national climate agendas. Precise knowledge of seagrass distribution and site-specific in-situ carbon data is crucial for global seagrass carbon storage, but is limited to a few well-studied sites. Within the context of the Global Seagrass Watch project, funded by DLR and supported by the GEO-GEE program, we aim to develop open country-scale seagrass maps and related carbon stocks in support of the Nationally Determined Contributions of the Paris Agreement. We process open Sentinel-2 multi-temporal data within the open cloud computing platform of the Google Earth Engine to quantify seagrass and associated carbon stocks. Our generated data inventories will support interdisciplinary scientific research and management efforts within a regional and global climate action context. Please see the abstract above. Authors and Affiliations – German Aerospace Center (DLR) & RWTH Aachen University Track – Use cases & applications Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/2d5883df-7e74-464c-a2c7-3275f36ed53ehttps://video.osgeo.org/w/x6stJow9QomrUa5hxWm28phttps://video.osgeo.org/lazy-static/thumbnails/d2e2d49e-53de-4721-8dec-a97fdb5279ec.jpgFOSS4G 2021 - Defining temporal spatial data quality aspects for OpenStreetMapDefining temporal quality for OpenStreetMap comes with additional challenges while assessing the data from global south. This is because the extrinsic quality measure cannot be taken, and intrinsic measures can only indicate subjectively where the data is doubtful. This work take the challenge to define the temporal quality aspect for the purpose of disaster risk reduction that would determine when data should be updated, revisited, and produced and when it can be constituted as incomplete in OSM. This presentation is part of larger research aim that I as an independent researcher am trying to achieve which developing a relationship between (regional) contexts and OSM data quality. The OSM data is staled and in many instances not updated. The example of OSM data production in Haiti is an interesting and alarming case because the data is only produced when there are distresses. While if we visualize the pattern for data production from OSM history viewer from Heidelburg institute we can see that there are sudden jumps of data production which has correlation with major HOTOSM project and/or major disaster. This causes alot of back log in aid and situational awareness. The data needs to be added before urgency. This work will try to work on finding solutions on how can temporal uncertainty be detected. Authors and Affiliations – Muhammad Saleem, Open GIScience Research Lab, Enschede, the Netherlands Track – Transition to FOSS4G Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/fbce55c4-7eea-4f74-b218-88cc869f9cb1https://video.osgeo.org/w/tA1xkHjw4EpQnxU6E9S8aZhttps://video.osgeo.org/lazy-static/thumbnails/2fe40da0-d598-4b64-9113-bc8907278874.jpgFOSS4G 2021 - HYDRAFloods: an Open Source Tool for Flood MonitoringSatellite remote sensing is an effective approach to monitor floods over large areas, especially in regions where other information is lacking. But even so, challenges do remain. These include, but are not limited to, the required computation power and technical expertise to analyse this data. The HYDrologic Remote sensing Analysis for Floods (HYDRAFloods) tool presents a new scientific standard for surface water mapping. It can produce single sensor maps as well as daily data fused products into which all relevant sensors are combined. The system is under active development in SERVIR-Mekong and operational for near real time flood detection. HYDRAFloods embraces open science and combines relevant algorithms from literature with our own custom developments, published in open access journals. It uses cloud computing to facilitate data access and running at scale. The code is hosted on a repository with open source license. We’ll present the tool and its use cases. Please see the abstract above. Authors and Affiliations – Deltares Track – Transition to FOSS4G Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/df665d70-7c48-4838-a9a9-f7355e05928fhttps://video.osgeo.org/w/wjybw35ssB2EEN3mG3842thttps://video.osgeo.org/lazy-static/thumbnails/39d80f26-bdbf-42f0-9c6f-db728279a619.jpgFOSS4G 2021 - Satellite-based Earth observations and numerical modeling for improved detection...Satellite-based Earth observations and numerical modeling for improved detection, assessment and forecast of natural hazards Natural hazards typically strike with little to no warning, frequently leading to considerable economic losses and fatalities worldwide. The scientific community anticipates that a changing climate will exacerbate the outcomes of these phenomena. Heavy rainfall that usually triggers landslides, for example, is already shifting in magnitude, frequency, and location. Open-source Earth Observations, machine learning, and other technological advances have proven useful for monitoring, studying, and developing methods that can help predict and evaluate hazard events at various scales. These methods have increasingly made it easier to sense spatial and temporal changes at local and regional scales with enhanced resolution and accuracy. In this talk, Dr. Cullen, an active member of the GEO programme, will discuss how Open-source data can help determine rainfall-triggered shallow landslides risk at large scales. Please see the abstract above. Authors and Affiliations – City University of New York/ GEO Track – Transition to FOSS4G Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/f589614f-5203-494b-aa85-0d067c9785f9https://video.osgeo.org/w/xmF7zXFX31FBHkm9AVVkiZhttps://video.osgeo.org/lazy-static/thumbnails/35374d17-9984-41ff-af47-2cb5c7a39ebf.jpgFOSS4G 2021 - Mapping floods in urban areas from space at local risk levelOpen EO data has long held promise for wide-area flood mapping and many algorithms exist to serve flood maps across large spatial scales. A lot of those maps are being used to support situational awareness assessments. However, typically, open EO imagery works well over open water rural areas but in areas where most people and assets at risk are located, i.e. urban areas, traditional flood mapping algorithms applied to free satellite data have serious limitations. However, recently, advances in using SAR signal coherence change for mapping floods coupled with an increase in powerful cloud computing, make urban flood mapping a reality. In this talk, we present examples of use cases using an urban flood map algorithm on an online cloud-based EO processing platform to rapidly process Sentinel-1 SAR images into urban building geometries that are then used to derive an accurate urban flood map using SAR signal coherence change. Please see the abstract above. Authors and Affiliations – RSS-Hydro/University of Bristol Track – Transition to FOSS4G Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/fdee4747-aa16-45e8-8f2f-e89408cbc097https://video.osgeo.org/w/nXJ3fMUq7RxG1RdP4uMiLNhttps://video.osgeo.org/lazy-static/thumbnails/7adf146f-61ab-4aba-ba30-df6e44001cf2.jpgFOSS4G 2021 - Integrating Remote Sensed and Modeling data for Local Flood Prediction and .....Integrating Remote Sensed and Modeling data for Local Flood Prediction and Risk Assessment There haven’t been global efforts to identify and determine global flood risk areas and consistently support first responders in the event of a flood, although flooding impacts over half a billion people every year. The lack of objective knowledge of the impact of flooding after the fact, first relief agency assistance is often constrained and therefore less effective. However, these humanitarian catastrophes could be reduced with better transformation of existing observational and modeling technologies into information useful to local populations and decision makers. Here I present a state-of-the-art mobile, globally-scoped, flood prediction, monitoring capabilities and risk evaluations platform that includes high resolution flood information to better serve local needs. The platform builds upon already available NASA-supported global flood systems, including the DFO - Flood Observatory satellite-based hydrological gauging stations, UMD Global Flood Monitoring System (GFMS) and have these integrated with the European Commission’s GloFAS, and SAR-based high-resolution flood mapping. Please see the abstract above Authors and Affiliations – DFO Flood Observatory, University of Colorado Track – Transition to FOSS4G Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/b1d7ba01-cbd9-47d7-808b-dd9fc4818df2https://video.osgeo.org/w/h8DgmL1sUk2f5qTjCMUoaJhttps://video.osgeo.org/lazy-static/thumbnails/1469ceab-03bb-46eb-bbd7-6961f172621a.jpgFOSS4G 2021 - Free and Open-Source Molusce Plugin for landcover Anlysis and Prediction; ........Free and Open-Source Molusce Plugin for landcover Anlysis and Prediction; a case study in Banepa and Dhulikhee municipality, Nepal Geospatial related, free and open-source software has been contributing dominantly for sustainable land management. MOLUSCE refers to, Modules for Land Use Change Simulations which is a user-friendly plugin for free and opensource software QGIS. The main aim of this study is to analyze land cover in past 3 decades and predict possible future landcover scenario, using MOLUSCE. The considered study area (Banepa and Dhulikhel ) was one of the regions, which are facing rapid urbanization. Freely available Land Sat imageries of different time scene as per necessity, were acquired for image classification (Agriculture, Forest, Builtup, and Barren) whereas driving factors for land cover prediction were prepared based upon MOLUSCE protocol and data availability. Prediction was done by selecting appropriate parameters by hit and trial method successively. The result obtained from this study demonstrate increase of builtup land and barren land whereas gradual decrease of forest and agricultural land. Besides, study also predicts, agriculture and forest land are expected to be decreased whereas the built-up land might be increased. It also illustrated that, uses of MOLUSCE plugin can be used to analyze the land cover change and predict possible future land cover scenarios with a desirable accuracy which can support in proper planning and policy formulation. Please see the abstract above. Authors and Affiliations – Sijan Bhandari , Community Self Reliance Centre, Katmandu, Nepal Track – Transition to FOSS4G Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/82a363e3-ba14-4992-b109-89b69d82e1bchttps://video.osgeo.org/w/jJDGxGCDw3W1iGW8CRqYjThttps://video.osgeo.org/lazy-static/thumbnails/42084f3f-65fd-47a5-8cab-9164e602dfd4.jpgFOSS4G 2021 - The Namunyak App, the Samburu and a Story About CollaborationIndigenous-led mapping has become an indispensable tool in the struggle of Indigenous peoples to claim their rights to land and resources. In this presentation I will give an overview of the Namunyak App project (a winner from the 2020 GEO Hack4Covid) and emphasise on the importance of the active participation of Indigenous people in the mapping process itself in order to fully move beyond the colonial cartographic frame. The Namunyak App encodes real geographical coordinates into four symbols. We believe that the app would allow the Samburu from northern Kenya to visualise and document their land in a dynamic, accessible and culturally relevant way. What we offer is to rethink the conventional, Western projections of maps, and combine it with local knowledge and understandings of land. Secondly, the app will be also an educational tool as it will introduce and advance the use of maps within the Samburu community. Finally, the Namunyak App is a communication tool that will improve the communication between Samburu community members, the local park rangers, and policy makers. Please see the abstract above. Authors and Affiliations – Yoanna Dimitrova, University of East Anglia Track – Transition to FOSS4G Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/97b8f794-0760-4de9-aa5f-e24922dfd737https://video.osgeo.org/w/x85GvanBtxLuApS9AaW4K4https://video.osgeo.org/lazy-static/thumbnails/1847d55a-8d10-4044-b1cc-52eb568c2bd7.jpgFOSS4G 2021 - The ESA-EC Open Science dashboard Rapid Action on Covid-19 and EOWe introduce the Rapid Action for Coronavirus and Earth Observation, a joint ESA-EC initiative to showcase applications of Earth Observation data derived from the Copernicus Sentinels and Third Party Missions to generate timely information with societal interest on the changes observed during the coronavirus pandemic lockdown and post lockdown periods on the European economy, agriculture, air quality, water quality and land. All indicators are based on Sentinel data and derived by capitalizing on EO Platforms and advanced Artificial Intelligence. Leveraging flexible and rapid development and deployment of the dashboard within EuroDataCube, the https://race.esa.int product is a fully Open Source solution developed using state-of-the-art technologies in an Open Science framework. The project also integrates community contributions selected through coding competitions and coaching of citizen contributions. Please see the abstract above. Authors and Affiliations – Anca Anghelea (1) Patrick Griffiths (1) Stephan Meissl (2) (1) European Space Agency, ESRIN, Frascati, Italy (2) EOX IT Services, Vienna, Austria Track – Open data Topic – Open and Reproducible Science Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/fc086679-b5b6-422d-a63a-9529918d346dhttps://video.osgeo.org/w/gtwovQvHW2KAiQ5rGpuC88https://video.osgeo.org/lazy-static/thumbnails/3fe29677-6157-465e-b3fa-585c1743939e.jpgFOSS4G 2021 - SenCast & Datalakes: Operational ....SenCast & Datalakes: Operational near-real-time lake monitoring at a national scale using open data and software. Environmental monitoring in the Earth observation (EO) age requires the assimilation of heterogeneous data from in-situ measurements, model simulations and satellite remote sensing to describe the state of the environment accurately. Here we present two open-source projects that facilitate near-real-time processing, visualisation and access to data on the condition of Swiss lakes. SenCast (https://gitlab.com/eawag-rs/sencast) is a Python toolbox for downloading Sentinel-2 and Sentinel-3 images and computing water quality parameters, and Datalakes (https://www.datalakes-eawag.ch/), is an open data platform for accessing, visualising and comparing heterogeneous environmental data. Together they form an operational pipeline that facilitates easy access to EO data and allows the joint interpretation of spatial patterns from satellite observations, 3D hydrodynamic simulations and in-situ measurements from vertical profilers and moorings. This proof of concept at a national scale shows how countries can produce accurate water quality information in line with the SDG indicator 6.3.2 monitoring requirements. Please see the abstract above. Talk, Sustainable Development Authors and Affiliations – James Runnalls, Eawag Track – Transition to FOSS4G Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/7d50e39a-276c-419b-8b8c-4b9efd3ce4bdhttps://video.osgeo.org/w/o2s958k2LEK1zGtpwDCzDZhttps://video.osgeo.org/lazy-static/thumbnails/24e91a74-f4d6-4296-9ac6-7a541414191d.jpgFOSS4G 2021 - A view into the SABIA-MAR satellite missionThe Argentinian Space Agency - CONAE along with the Brazilian Space Agency (AEB) are currently carrying out the ocean color satellite mission SABIA-Mar in the context of the National Space Plan. SABIA-Mar is planned to be a constellation of two satellites oriented to the support of blue economy. The first of them, SABIA-Mar 1, is the one currently being developed by CONAE. The main objective of this mission is to provide information and products for the study of marine ecosystems, carbon cycle, coastal dynamics and marine habitats, according to UN Sustainable Development Goals and the national initiative Pampa Azul. With a scheduled launch in 2023, SABIA-Mar 1 will perform in the visible and infrared bands of the electromagnetic spectrum. This will provide valuable information for a wide community of users within scientific, productive and decision making areas. Authors and Affiliations – Carolina Tauro (1) (1) Comisión Nacional de Actividades Espaciales (CONAE) Track – Use cases & applications Topic – Sensors, remote sensing, laser-scanning, structure from motion Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/b25ce732-be29-4fc9-939e-5a8dfe6ad92fhttps://video.osgeo.org/w/fmcASqrQyDSChR9av4PKL7https://video.osgeo.org/lazy-static/thumbnails/eadf8d85-bf5a-4f12-90ce-f85e1955d2af.jpgFOSS4G 2021 - An implementation of FOSS4G - QGIS, QField and Vector Tiles for rural water supply...An implementation of FOSS4G - QGIS, QField and Vector Tiles for rural water supply management in Rwanda Water and Sanitation Corporation (WASAC) developed GIS system for rural water management by using FOSS4G software together with Japan International Cooperation Agency (JICA) since 2018. WASAC conducted the data collection by using QGIS and QField, then offline data sharing became available for all over the country of Rwanda until the JICA project ended in December 2019. Our achievements of the project was presented in FOSS4G 2019 Bucharest (see video). Although JICA project ended, WASAC still continue developing more advanced vector tiles’ based Web GIS system with former JICA expert - Jin IGARASHI. Our new online site is available here. Now all of our stakeholders can browse water supply data in Rwanda. We established this new web service for free of charge by using Github pages because of budget limitation. We also make our vector tiles data available as open data at Github and openAFRICA. This new vector tiles project was also developed under the technical support of The United Nations Vector Tile Toolkits.We would like to share how we are using this application to manage water and how we want to develop in the future. In addition of the above abstract, technically, our implementation is using the below FOSS4G software. - QGIS: We are using QGIS to manage GIS database - PostGIS: We store all of data in the database - QField: We are using it for data collection and updating. - Mapbox vector tiles: Using it for online web GIS service - United nations vector tiles toolkit: Using it for base map. - openAFRICA (CKAN): WASAC published our vector tiles data (mbtiles format) as open data in this platform. - EPANET: we are using it for hydraulic modeling. This talk is related to another talk - "FOSS4G software developments for Water Utilities Management in Eastern Africa by using Vector Tiles". Authors and Affiliations – Moise IRANKUNDA: Management Information S...https://video.osgeo.org/videos/embed/7431f754-5527-4683-9715-f12219e313f2https://video.osgeo.org/w/iPkSVyFYasAARb65t6aQRuhttps://video.osgeo.org/lazy-static/thumbnails/9ed71d94-aeb6-4719-a30f-7cc5a384a185.jpgFOSS4G 2021 - Closing FOSS4G and FarewellClosing of the FOSS4G 2021 BA Conference. Closing of the FOSS4G 2021 BA Conference. Authors and Affiliations – Arias de Reyna Domínguez, María (1) (1) Co-Chair of FOSS4G 2021 Track – Community / OSGeo Topic – Community & participatory FOSS4G Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/9047908d-6297-4d4d-9c13-178eff47c00ehttps://video.osgeo.org/w/61Z5xa4nXhBq6uqbaTUKGMhttps://video.osgeo.org/lazy-static/thumbnails/f717997b-7499-4f21-bb07-5c4a76f373c5.jpgFOSS4G 2021 - Fireside chatA cozy chat about family, freedom and why we do free/libre/open source software. A cozy chat about family, freedom and why we do free/libre/open source software. Authors and Affiliations – Iván Sánchez Ortega (1) (1) Freelancer Track – Community / OSGeo Topic – Community & participatory FOSS4G Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/28a0de77-425d-488e-a1d4-31ea0627dbb9https://video.osgeo.org/w/3Kt9zwyvaucP4BqVFwADgDhttps://video.osgeo.org/lazy-static/thumbnails/8ff1c9f4-49bf-4303-9cc8-5d16a2cd4cbd.jpgFOSS4G 2021 - OSGeo AwardsOSGeo Awards ceremony Sol Katz Award for Geospatial Free and Open Source Software The Sol Katz Award for Free and Open Source Software for Geospatial (FOSS4G) will be given to individuals who have demonstrated leadership in the FOSS4G community. Recipients of the award will have contributed significantly through their activities to advance open source ideals in the geospatial realm. Sol Katz was an early pioneer of FOSS4G and left behind a large body of work in the form of applications, format specifications, and utilities while at the U.S. Bureau of Land Management. This early FOSS4G archive provided both source code and applications freely available to the community. Sol was also a frequent contributor to many geospatial list servers, providing much guidance to the geospatial community at large. The winner of the Sol Katz Award for Geospatial Free and Open Source Software will be announced in this sessiion. The hope is that the award will both acknowledge the work of community members, and pay tribute to one of its founders, for years to come. Sol Katz Award https://www.osgeo.org/community/awards/ Call for nominations 2021 https://www.osgeo.org/foundation-news/sol-katz-award-for-geospatial-free-and-open-source-software-call-for-nominations-2021/ See the news item about Sol Katz Award 2021 https://www.osgeo.org/foundation-news/malena-libman-receives-the-2021-sol-katz-award/ Authors and Affiliations – OSGeo Community Track – Community / OSGeo Topic – Community & participatory FOSS4G Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/1643fd6b-25de-44cf-ac3d-0ca89d27628fhttps://video.osgeo.org/w/g4KFWCkkMCNGDxwdKcWVM9https://video.osgeo.org/lazy-static/thumbnails/c9b66cfb-bee4-425b-85ef-f32c34acbbee.jpgFOSS4G2021 - Open source for open spatial data scienceMany innovative analysis approaches presented in scientific publications are hard or impossible to reproduce. This slows down the uptake of new ideas and makes it harder for others to improve on these ideas. Just as open science in general needs open source software, it is clear that open and reproducible spatial data science needs open source GIS. In this talk, I will share my vision for the future of spatial data science in academia and industry, related challenges and potential beyond the core community of geospatial experts. Authors and Affiliations – Graser, Anita (1) (1) Austrian Institute of Technology Track – Panel Topic – Community & participatory FOSS4G Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/79ff3c3c-8534-4334-ab02-586515664faehttps://video.osgeo.org/w/ueNEjA39TLjr5psCvdz8Mahttps://video.osgeo.org/lazy-static/thumbnails/d8fa3581-4795-4424-a04c-6c353400eab0.jpgFOSS4G 2021- Building DCP's Housing Database, NYC Planning's Data Engineering team's latest data....Building DCP's Housing Database, NYC Planning's Data Engineering team's latest data product In 2020, while from working from home, NYC Planning's Data Engineering team in collaboration with the Housing Economic and Development team built and released to the public DCP's Housing Database, which contains all NYC Department of Buildings (DOB)-approved housing construction jobs filed or completed in NYC since January 1, 2010 that add or remove residential units. During this talk NYC Planning's Data Engineering team will share how we built a new NYC Open Data product using open data and open source technologies, including PostgreSQL/PostGIS, GDAL, and GitHub Actions, highlighting the work done by NYC Planning's Data Engineering team to create open data openly. At FOSS4G NA 2019 San Diego I presented how NYC Planning's Data Engineering team reverse engineered PLUTO, NYC’s definitive tax lot dataset, and moved the development process off of the mainframe and into PostgreSQL/PostGIS. Since then, the team has grown and improved how we build NYC's premier open data products using free and open source technologies including PostgreSQL/PostGIS, GDAL, Streamlit, and GitHub Actions. In 2020, while at working from home, we built DCP's Housing Database, which contains all NYC Department of Buildings (DOB)-approved housing construction and demolition jobs filed or completed in NYC since January 1, 2010. It includes all three construction job types that add or remove residential units: new buildings, major alterations, and demolitions, and can be used to determine the change in legal housing units across time and space. At FOSS4G 2021 we'd like to share how we built a new NYC Open Data product using open data and open source technologies, highlighting the work done by NYC Planning's Data Engineering team. Authors and Affiliations – Doyle, Amanda (1) Cao, Baiyue (2) Graber, Molly (3) NYC Department of City Planning, Enterprise Data Management, Data Engineering, United States, N...https://video.osgeo.org/videos/embed/e4ad4ea2-73bb-4c24-bea5-0fda118f5a3fhttps://video.osgeo.org/w/d9rj7wJV7wDGCDKjQiU41Bhttps://video.osgeo.org/lazy-static/thumbnails/abb8f415-bb9f-415f-867c-e57b1bd88d78.jpgFOSS4G 2021 - The NexSIS project : Open Source softwares for civil protection geo-intelligenceIn the event of a major crisis like the terrorist attack in Paris at the Bataclan venue on November 13, 2015, the civil protection agents and organisations were dealing with a Massive flow of geolocated information (thousands of calls in a few minutes to the emergency centers) and a need for rapid decision-making based on territorialized information: location of attacks, position and availability of help, travel time, traffic, access, etc. The NexSIS project aims to create a digital rescue platform providing all civil protection actors in France with a complete set of cloud operational services. Open Source GIS solutions were chosen for this national project with strong technical requirements. The technical prerequisites for an information system in SAAS mode intended for emergency services are high. It goes without saying that special attention must be paid to performance and safety. It is also necessary to build a modern and modular architecture capable of serving the needs of 250,000 potential users on the French territory. The solution cannot be a black box. The modularity, interoperability, scalability and adaptability of open source solutions make it a first-class choice for building this large-scale solution. Beyond technology, another key success factors for the Nexsis project are partnership and skills. NexSIS is build with an agile in-house team working in scrum mode. Product Owners are firemen working closely together with GIS experts and core Open Source developers. We will show how solutions like Postgresql / PostGIS, Geoserver, OpenLayers and others are capable of meeting the challenges of an operational rescue system intended to save lives every day. Authors and Affiliations – Frederic Jacon Track – Use cases & applications Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 2 - Basic. General...https://video.osgeo.org/videos/embed/625b369c-d158-4f37-b566-283896ac8cbfhttps://video.osgeo.org/w/cCGZ2wo1YwEm6R8ivp1Birhttps://video.osgeo.org/lazy-static/thumbnails/ef0ed41e-c6c5-4b6d-b6f9-29a21e6ed586.jpgFOSS4G 2021- Marine Regions’ open-border policy: creating global maritime boundaries with FOSSMarine Regions is a LifeWatch-sponsored project whose purpose is to create a standard list of geographic names coupled with information and maps of their location. In August 2020, Marine Regions released a brand new data product: the High Seas. This data product delimits all parts of the ocean that are not under the control of any single nation (sometimes referred to as ‘international waters’). The dataset is a valuable addition to the already existing data products hosted by Marine Regions. As such, it will further benefit global ocean conservation initiatives and global fisheries management. For this new product, the Marine Regions team consciously made the decision to shift to FOSS tools. This has led to an improved and more reproducible workflow, leveraging the full potential of a suite of FOSS: QGIS, PostgreSQL/PostGIS, GeoServer and GeoNetwork. To make users more familiar with the OGC web services to consult and download the data, the web services tutorial page has been revamped. Additionally, the Marine Regions download page also offers GeoPackages as its first download option for all its products in order to encourage the adoption of open data formats. We discuss in detail how we use these FOSS tools throughout the various steps to create such a global GIS data product. One of those steps is for example the creation of a Pacific-centered version of the High Seas, for which various methods in R, QGIS and PostGIS were examined. Finally, we pinpoint remaining challenges that we would like to see resolved in the future. More info: www.marineregions.org. Contact: info@marineregions.org. Authors and Affiliations – Fernández Bejarano, Salvador Jesús (1), Lonneville, Britt (1), Schepers, Lennert (1), Vanhoorne, Bart (1), Tyberghein, Lennert (1) Track – Use cases & applications Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitori...https://video.osgeo.org/videos/embed/5e348eca-c327-461b-8ab4-13424ead762fhttps://video.osgeo.org/w/s75tA27oV1XZ83m8nyDs71https://video.osgeo.org/lazy-static/thumbnails/330bc166-76a1-4feb-8c3e-4eea415f0ec8.jpgFOSS4G 2021 - Interactive GI dashboards for any data!The generation of dashboards based on geographic information is a field of vital importance to enhance the value of spatial information in relation to the reality provided by the data displayed. A spatial information dashboard is a view of geographic information that displays spatialised data, such as events, activities or statistical variables. These dashboards should provide visualisations of the data that work in an interactive and attractive way at both graphical and map level, so that they can be used for decision making in an easy way. The use case presented here shows an integration of two Open Source libraries specialised in representation. On the one hand, there is the dashboard information, using Apache Superset and, on the other hand, Mapea. Mapea is a library developed as an interoperability and added value layer on top of OpenLayers. This library allows the integration of spatial information by means of rest calls and its representation in a way that facilitates its integration in general purpose applications. Thus, an integration of Mapea on Apache Superset has been carried out to take advantage of the power of the Apache Superset dashboard representation and combine it with the spatial information represented on an OpenLayers base. The resulting product allows the loading of information in different formats, using all the power and capacity of Apache Superset together with its representation in a map viewer in a simple way. Its general purpose application allows the representation of information of all kinds, such as geo-referenced statistical data, heat maps, cluster, ... Therefore, this presentation shows a practical and successful case in the integration of spatial information and Open Source products of different nature such as Apache Superset and OpenLayers through the use of Mapea. Technologies: Apache Superset, GeoServer, OpenLayers, Mapea, OGC Standards Authors and Affiliations – Guadaltel - Alfonso Martínez - Marina Sarmiento - Marisa...https://video.osgeo.org/videos/embed/d366d373-bb4b-40c1-84b3-d3e84a9e38achttps://video.osgeo.org/w/tjmieTMmP9GCVAH8A6WE4khttps://video.osgeo.org/lazy-static/thumbnails/0727eae4-4451-444e-9212-264cbf2a69d8.jpgFOSS4G 2021 - MapSwipe - an open-source mobile app putting communities on the mapMaps play a critical role in disaster response, enabling humanitarian organisations to better identify people in need, coordinate response and provide assistance where it’s needed most. However, many of the communities where disasters occur are literally missing from any map. First responders working with these communities often have to cover large areas to find out where the population is affected, but lack the data necessary for an efficient, effective response. Many tools for mapping in OSM can be daunting for people without a technical or mapping background. This constitutes a high barrier to join open mapping initiatives for beginners and people that are not willing to spend that much time on training or that don’t have access to a laptop. MapSwipe is an open-source mobile app that makes it even easier for anyone to contribute to humanitarian mapping, with tasks that can be done in just minutes and in-app tutorials to get started. In this talk we will provide an overview on it from three angles: community app (react-native) backend (python and postgis). Since its start in 2015, MapSwipe has scaled to more than 30,000 users mapping 1,300,000 km2. MapSwipe is built and maintained by volunteers, with the support of the British Red Cross, HeiGIT and the GIScience Research Group, Humanitarian OpenStreetMap Team and Medecins Sans Frontieres. Community MapSwipe data is created by volunteers and accessible to the entire community. Once a project has been requested by a community, the MapSwipe team creates it in the app, using imagery from a variety of sources and creating instructions that help the user to understand what to look for and the resulting action they should take. Each set of imagery is viewed by at least 3 individuals to improve data-quality. In the year 2020 9,281 volunteers worked on 168 projects and contributed more than 90 Million results. Backend MapSwipe is a successful example where research results have been transferred into a real-world ap...https://video.osgeo.org/videos/embed/dd36a3ea-5171-4385-9705-0118dbd4e759https://video.osgeo.org/w/qhKyNqXFPVjsE3VWyF91Czhttps://video.osgeo.org/lazy-static/thumbnails/02d335bd-c0ba-4699-be32-c70abe06abcf.jpgFOSS4G 2021 - Mapserver – Labeling and Circles – my best tips and tricksIn a nice and pleasant map, it is important that the labeling is carried out with great care. This talk will be about how to achieve high quality labeling with Mapserver. The tricks also involve understanding how to use the GDAL/OGR that is part of the backend to Mapserver. I will also share insights on how to create and use circle elements with geographic extent. Some of the methods contain novel ideas that I have come up with during last year. Finally, I will introduce a few concepts that are more difficult to grasp but are of great use when creating WMS-services. One example is Named styles. The presenter is a frequent Mapserver user. The talk is based on practical experiments and real problems that the author has experienced. Some of the solutions are also based on ideas from mapserver-users list, mapserver-dev list and gdal-dev list. The talk will contain example code that will be uploaded on GITHUB prior to the conference. Authors and Affiliations – Schylberg, Lars (1) (1) Saab AB, Sweden Track – Software Topic – Software/Project development Level – 3 - Medium. Advanced knowledge is recommended. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/c4b2138c-ef1a-4f15-bc3a-669db83b0ef9https://video.osgeo.org/w/daPwsP74g7j4atTbcwQuwZhttps://video.osgeo.org/lazy-static/thumbnails/64862ec7-3ea7-4a3c-affd-dbdbab49f693.jpgFOSS4G 2021 - MANILAud: Mapping Soundscapes Through Participatory Data Collection .....MANILAud: Mapping Soundscapes Through Participatory Data Collection - A case study of Metro Manila A common approach used to map soundscapes is through quantitative methods, such as using a survey-grade sound meter. However, these methods have been deemed insufficient in interpreting and identifying the complexity of soundscapes. To deal with this problem, the authors incorporated a method that uses participatory data collection to record the quantitative measurements such as sound level. The perceived level of annoyance (PLA) of the sound based on the individual's perspective was also used through this research. An open-source crowdsourcing sound map is created where users can upload sound recordings, images, and feedback related to the soundscape of that particular location. The study area is in Metro Manila. I will present how we utilized OpenStreetMap data and free and open-source software (FOSS) for participatory data collection and data visualization for this project. (Github page: http://bit.ly/manilaud) It will be a walkthrough on how the project was done, how the interactive mapping platform is used, and how to submit and listen to the soundscapes in the platform. (Platform: http://bit.ly/manilaudday or http://bit.ly/manilaudnight) Link to the presentation slides: https://slides.com/sandratabinas/audible-maps-mental-health-awhereness-hear-here-2-0-and-how-sound-and-maps-can-show-that-we-care-1f5cbd/fullscreen Authors and Affiliations – Tabinas, Sandra (1) Quisado, Kenneth (2) Templonuevo, Jewel (3) (1) University of the Philippines, Department of Geomatics Engineering Track – Use cases & applications Topic – Data visualization: spatial analysis, manipulation and visualization Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/628ca574-0fdb-417e-a1ef-27908431eb35https://video.osgeo.org/w/r2vBzEDzLCoLfLND4uNt5ihttps://video.osgeo.org/lazy-static/thumbnails/d19ccf75-514f-4d6d-949c-bdd0c448423b.jpgFOSS4G 2021 - Creating open, reproducible workflows for ecological niche modelingEcological niche models are being increasingly used to analyze the potential distributions of species, the effect of climate change, biological invasions, and other biogeography questions. A myriad of methods and workflows exist for ENM; some common steps are common to most of them, but there must be flexibility depending on the research question. Moreover, reporting the methodology and decision-making should give robustness to the conclusions. With the recent emphasis on reproducibility, a new set of practices, such as metadata recording, script-based applications, version control, and software version awareness can be included to the general workflows to ensure transparency. Here, we present modleR, an R package that implements such a reproducibility workflow for Ecological Niche Modeling. We also propose some guidelines for writing reproducible R code in ecology workflows in general. We shall present the generalities of ENM workflows and the challenges for writing workflows that are adequate for general use (flexibility) but do not leave behind some key steps for reproducibility. The package is available: https://model-r.github.io/modleR/ Authors and Affiliations – Andrea Sánchez-Tapia (1) Sara R. Mortara (1) (2) Felipe Sodré Mendes Barros (3) (4) (1) ¡liibre! Laboratório Independente de Informática da Biodiversidade e Reprodutibilidade em Ecologia (2) Instituto Internacional para a Sustentabilidade, Rio de Janeiro, Brasil. (3) Instituto Superior Antonio Ruiz de Montoya (ISARM). Posadas, Misiones, (4) Instituto Misionero de Biodiversidad (IMiBio). Puerto Iguazú, Misiones, Argentina Track – Education & research Topic – Open and Reproducible Science Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Españolhttps://video.osgeo.org/videos/embed/caaa75d0-5ac6-4a6c-a3c7-e84413b587d5https://video.osgeo.org/w/cMS3bpoDTmZ27pujM3fdLvhttps://video.osgeo.org/lazy-static/thumbnails/69907609-d0d2-4b3d-b581-d101e173ef6f.jpgFOSS4G 2021 Improving Seagrass Detection Through A Novel Method For Optically Deep Water MaskingSeagrasses provide many ecosystem services such as habitat provisioning, biodiversity maintenance, food security, coastal protection, and carbon sequestration. With the projected temperature extremes and sea level rise due to climate change, these important ecosystems are highly threatened. Conserving these important ecosystems requires accurate and efficient mapping of its distribution and trajectories of change. Unfortunately, the spectral similarities between the seagrass and optically deep water pixels in the satellite images, or dark pixel confusion, causes potential classification errors. Within the context of the Global Seagrass Watch project, funded by DLR and supported by the GEO-GEE program, we develop a novel open method within the Google Earth Engine platform to identify and mask out these optically deep water pixels on open Sentinel-2 satellite data. This method yields less confusion and results in a more accurate seagrass detection which could benefit scientists focused on seagrass-related climate science. Please see the abstract above. Lightning talk, Climate Action Authors and Affiliations – Mr. Lee, Chengfa Benjamin, German Aerospace Center Track – Open data Topic – Sensors, remote sensing, laser-scanning, structure from motion Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/5f7bd4e7-c13a-454b-ae79-d8c9e79db2b5https://video.osgeo.org/w/gbZGVNqA9Ffu8PsBqB6XgUhttps://video.osgeo.org/lazy-static/thumbnails/bb8c0f3c-94c1-452c-93db-f771643108dd.jpgFOSS4G 2021 A study in vulnerable settlements using remote sensing and census dataIn this talk, we propose sharing our progress towards implementing a nationwide system which aims to locate vulnerable community sprawls and assess poverty status between census years, using satellite imagery. In the process discussed, we will develop the capabilities to track differences in gap years and estimate people's wealth status in new and modified settlements. Crucially, we intend to contribute to estimates from ground truth data obtained with local surveys. The outcome of this project will be a system with the ability to track vulnerable communities during census gap years based on deep learning and employing a blend of multispectral and multisensorial satellite imagery and ground surveys. This will enable us to assess our algorithms' performance and provide relevant feedback to the inference mechanisms. Please see the abstract above. Authors and Affiliations – Elio Atenogenes Paloma Merodio Jimena Juarez Joaquín Salas Track – Transition to FOSS4G Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/7b021478-da5c-4cf2-b4df-cf22648cea0ehttps://video.osgeo.org/w/8j7jdvchCVjyvtFRU9Q9Vfhttps://video.osgeo.org/lazy-static/thumbnails/37650713-b79f-47af-886b-7f90ee7e8257.jpgFOSS4G 2021 - State and marine application of NodeMicMac (opensource photogrammetry software)Photogrammetry is one of the first step after data acquisition before proceeding to indepth analysis of a subject. Nowadays, several opensource photogrammetry softwares are being developed and are available such as Meshroom, OpenDroneMap, Visual SFM, Colmap, Regard 3D, OpenMVG among others. MicMac forms part of these photogrammetry softwares released by French Geographic Institute (IGN). MicMac uses a lot of command lines related to alcoholic drinks. Since these atypical command lines are not easily understandable, an alternative method to use micmac applications has been developed to facilitate usage of these command lines. Using technology embedded by OpenDroneMap with its nodes (lightweight Javascript REST API) allows users to apply MicMac to UAV/UAS imagery with effective results (Points cloud, 3D Mesh, Orthophotography, Digital Elevation Model, ...). I closely follow NodeODM and regularly update NodeMicMac to ensure that the updated version is available on WebODM. I also implement new features that are not currently available in NodeMicMac but can still be accessible on MicMac. This talk aims at introducing MICMAC and its features to those who are not acquainted to this opensource software and its various applications in different sectors. Furthermore, it will focus on futures development and plans such as implementation of rolling shutter, reports ... And, a few case studies of implementation of micmac in marine sector above and underwater (data acquisition done using various methods: kitesurf, paddle, drones, diving etc) will also be presented. This includes Underwater 3D modeling, coral bleaching among others. Authors and Affiliations – Sylvain POULAIN, GISCAN, France and Mauritius Requirements for the Attendees – Understand general knowledge of photogrammetry but not required to follow marine application Track – Software Topic – New trends: IoT, Indoor mapping, drones - UAV (unmanned aerial vehicle), Artificial intelligence - machine learning, dee...https://video.osgeo.org/videos/embed/3b373fe9-a14f-4007-a46d-2df5f59e6270https://video.osgeo.org/w/vHAaSrCfm1EHzAoNYQrNh3https://video.osgeo.org/lazy-static/thumbnails/14a2f88d-fcca-4a24-bf8a-7cf0f0b03cc0.jpgFOSS4G 2021-Parks & Equity: Using PyQGIS and Rgeoda for Evaluating Localized Equitable Park Access..Parks & Equity: Using PyQGIS and Rgeoda for Evaluating Localized Equitable Park Access across the United States Across urbanized areas in the US, who are the communities being served by parks, and who is left out? In park system planning, the traditional measure of equitable access to parks has been the 10-minute walk isochrone, determining what percentage of residents live within a short walk of a park. However, these metrics do not capture inequities in park access for different demographic groups, nor do they consider the quality of parks that communities have access to. This research project explored a methodology to layer in considerations of park size, population density, and demographic characteristics to allow a more nuanced look at the equity of park access in urbanized areas across the United States. PyQGIS and Rgeoda are two open source platforms used for this analysis to allow for localized analysis at the national scale, as well as to make this analysis available to cities, towns, and other researchers interested in parks equity. Parks are an essential part of a city’s social life, supporting health and wellness for communities across our country. Access to high-quality parks with diverse amenities and programs is particularly critical for communities in urbanized areas with backyard deficits. Ensuring equitable access to great parks for all communities, especially those that are majority people of color or low-income, is increasingly the focus of many cities looking to plan civic parks and resilience practices for the future. Building on existing efforts to measure park access by the Trust for Public Land (TPL)’s “ParkServe” tool and the National Recreation and Park Association (NRPA)’s “Park Metrics”, this research project explored methods for measuring park access that go beyond the 10-minute walk circle. Using publicly available nation-wide datasets, we analyzed how access varies for different kinds of Americans. How equitable are our nation’s...https://video.osgeo.org/videos/embed/f0a792e6-158d-47c5-b044-b00d6b03d282https://video.osgeo.org/w/kWgRtRz56SG97ChWsZakoJhttps://video.osgeo.org/lazy-static/thumbnails/d2393200-7815-49c1-8660-2d8d25517268.jpgFOSS4G 2021- GeoBlaze: a Blazing Fast Raster Analysis Engine written in Pure JavaScriptGeoBlaze is a blazing fast raster analysis engine written in pure JavaScript. This talk will go over code samples, showing how to use this library to compute statistics for select areas in GeoTIFFs. GeoBlaze is a blazing fast raster analysis engine written in pure JavaScript. This talk will go over code samples, showing how to use this library to compute statistics for select areas in GeoTIFFs. Authors and Affiliations – Daniel J. Dufour GeoSurge, LLC Track – Software Topic – Software/Project development Level – 3 - Medium. Advanced knowledge is recommended. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/a1719164-d135-446d-b907-0051e1151e8ahttps://video.osgeo.org/w/vBvcha8KwdBKWmQCRHZMc9https://video.osgeo.org/lazy-static/thumbnails/bfe31278-e8d8-4ccb-adf1-26a56e0a90a8.jpgFOSS4G 2021 Automatic GCP Detection on UAV imagesA new small open-source project is introduced in this presentation. The Find-GCP project can be used to automatize the measurement of the Ground Control Points (GCP) coordinates on images. It can be used in close photogrammetry tasks. The markers and their unique IDs are detected on the the photos using the ArUco open-source library which is part of the OpenCV contrib package. The output is compatible with OpenDroneMap (ODM) and VisualSfM, two well-known open source project. Beside the command line gcp_find.py tool, there are some utilities in this project to generate ArUco markers, visually check the results and more. This project comes from the Geo4All Lab of the Budapest University of Technology and Economics. Ground Control Points (GCP) are used to improve the accuracy of orthophotos and point clouds generated from images made by Unmanned Aerial Vehicles (UAV). GCPs are marked on the field and the coordinates are measured in a Coordinate Reference System (CRS) and are used to georeference the products of the photogrammetric process. There are open-source projects to process UAV images, the most known among them is probably the OpenDroneMap (ODM). Unfortunately there are no modules or tools to automatize the detection of GCP markers on the images. Our small project tries to fill this gap. It is a time-consuming task to collect the image coordinates of GCPs because of the usual large forward and side overlapping (~80%), one GCP may be visible on eight-ten images. Using unique markers for each CGP they can be found by a software. There have not been such widely used solutions for open-source programs so far. We hope the presented solution can be part of the workflow with ODM and other open-source software. We have used ArUco codes for indoor navigation and movement detection for few years. ArUco is an open-source library (part of the OpenCV contrib package) developed for augmented reality applications. These squared markers have a wide black border and an in...https://video.osgeo.org/videos/embed/efce0b78-eb28-4cad-9f48-c8d933ac6cf2https://video.osgeo.org/w/uqt6x6gFLP83gXy8Fo9Qkshttps://video.osgeo.org/lazy-static/thumbnails/f5ba5fdb-0457-48a9-845f-d9a889b48af5.jpgFOSS4G 2021 Theoretical peer-to-peer map tilesAn exploration on how a seemingly obscure web standard (WebRTC) can be exploited to provide P2P transmission of rendered map tiles. The OpenStreetMap project started serving map tiles over a decade and half ago - and more than once it's been a strain on the limited resources of the OpenStreetMap Foundation. But what if a web standard designed for video conferencing -WebRTC- could be turned into a way to let web browsers exchange tiles in a peer-to-peer fashion? This would, ideally, spread the load of distributing cached tiles onto individual web browsers thus lowering the load on tile cache servers. Other web-browser-based approaches to peer-to-peer content exist (e.g. IPFS), but seem unfit for the use case of map tiles. The main concern is the sheer number of possible map tiles (four to the eighteenth power, or over 68 thousand million), which makes hashing each individual tile both impractical and counterproductive. In computing science jargon: cacheable (meta)tiles exploit the obvious spatial locality of neighbouring tiles, and hashing tile URLs would invalidate the exploitation of that locality. This talk explores the idea of how WebRTC could be leveraged to turn web browsers into peers forming a P2P tile network; what software pieces would need to be developed, and what potential caveats await at the end. The main obstacle would be something called (in WebRTC parlance) the “signaling server”. This means solving the problem on how to pair web browsers that are looking at similar areas of the map. A proposed naïve approach is to force clients to inform a signaling/orchestration server about their visible bounding box, let that server build up a R-tree (or R-tree-like data structure) of bboxes, then pairing peers based on the R-tree structure, or by performing k-nearest-neighbour searches. One big unknown is whether the CPU load of running such an orchestration service is a practical improvement over the network load of tile caches. On the ethical front, there...https://video.osgeo.org/videos/embed/e62a6e5e-1c5a-47ef-9a5d-09b645b37fe8https://video.osgeo.org/w/3BBE5mNH3XEXB8wgWEGde9https://video.osgeo.org/lazy-static/thumbnails/8647fa46-a92e-45af-971d-6d73a7a3ba68.jpgFOSS4G 2021 - Geoplatform: FAIR Data Principles for Geospatial Data in the United States of AmericaThe Geospatial Platform (Geoplatform) is a strategic US national resource that supports the Administration's–Open Government, Open Data and Digital Government strategies to enhance transparency, collaboration, and participation. Geoplatform provides a suite of managed, geospatial data, services, and applications for use by the public, industry, and federal, state, local, and tribal agencies to meet their mission needs. The new launch of GeoPlatform is based on various Cloud Native Geospatial components and this talk will showcase how such support the mission. This talk will focus on the recently redeveloped Geoplatform. Geoplatform provides a searchable geospatial metadata catalog, access to geospatial data, integration with the Geoplatform ArcGIS Online Enterprise Organization (AGOL), and a community shared workspace dedicated to the work of individual agencies, OMB Circular A-16 themes, and cross-cutting program areas. GeoPlatform is the authorized source for all the official US National Geospatial Data Assets (NGDAs). The NGDAs are organized in 17 Data themes as guided by the U.S. Federal Geographic Data Committee (FGDC). In 2020, Geoplatform, operating under the authority of the Geospatial Data Act of 2018, redeveloped Geoplatform to better meet the FAIR data principles to make data Findable, Accessible, Interoperable, and Reusable. The redeveloped Geoplatform includes: A new harvesting capability for harvesting geospatial records from data.gov Open Standard Geospatial Cloud Serverless Product Generation - Geoplatform.gov evaluates harvested NGDAs, evaluates where open standard files are missing, and then generates and publishes open standard format files (GeoJSON, GeoPackage, Shapefiles), tiles (Map Vector, XYZ Raster), and OGC Web Services (WMS, WFS) using Cloud infrastructure and triggered serverless functions. Improved Discovery & Preview Platform - With a set of quality harvesting rules, Geoplatform.gov is focused on “less is more”. This new site is ...https://video.osgeo.org/videos/embed/152b4889-92ac-472b-8005-e489770920cahttps://video.osgeo.org/w/n43zzEwprxh6Qrt9DL1Jkvhttps://video.osgeo.org/lazy-static/thumbnails/6834f75a-31de-461c-9c93-ef46a17c336e.jpgFOSS4G 2021 Serving large GeoPackage dataset in GeoServer: the OS MasterMap and ZoomStack use caseGeoPackage is becoming a pervasive tool to share data among systems. But how well does it transfer meta-information, and how well does it handle large datasets? The presentation will introduce the work GeoSolutions performed during OGC Testbed 16, to answer those questions. In addition to the above, we’ll discuss handling large raster GeoPackages with GeoServer. GeoServer is a web service for publishing your geospatial data using industry standards for vector, raster and mapping. It powers a number of open source projects like GeoNode and geOrchestra and it is widely used throughout the world by organizations to manage and disseminate data at scale. GeoPackage is becoming a pervasive tool to share data among systems. But how well does it transfer meta-information, and how well does it handle large datasets? The presentation will introduce the work GeoSolutions performed during OGC Testbed 16, to answer those questions. In particular: An introduction to two large vector datasets by Ordnance Survey, ZoomStack and MasterMap topography. Embedding full meta-information in a GeoPackage, including metadata, styles and icons, as well as operational pictures and provenance information. Handling arrays and enumerated fields in an efficient, queryable way. Optimizing the internal structure of a GeoPackage for more efficient data retrieval. Splitting large GeoPackages in parts to gain both efficiency and ease of update. In addition to the above, we’ll discuss handling large raster GeoPackages and how GeoServer handles all of the above. Authors and Affiliations – Andrea Aime (1) Simone Giannecchini (1) (1) GeoSolutions Group (https://www.geosolutionsgroup.com) Track – Use cases & applications Topic – Data collection, data sharing, data science, open data, big data, data exploitation platforms Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/aa7cbb86-4fb5-44f7-a33f-6d6095ed75b3https://video.osgeo.org/w/3SN1DMNzo843q2ks59s6BKhttps://video.osgeo.org/lazy-static/thumbnails/1dea9a1a-fe90-49fc-ad4e-8032477e442f.jpgFOSS4G 2021 Towards a spatial analysis of shooting in Philippine basketball using FOSS4G......Towards a spatial analysis of shooting in Philippine basketball using FOSS4G: Applications in the University Athletics Association of the Philippines Men's Basketball Tournament Basketball is spatial. Any event that occurs during a basketball game—a made shot, a missed shot, a rebound—has a corresponding spatial or spatio-temporal information embedded in it and, one can argue, that location oftentimes plays an important role in its occurrence or success. If you think of the basketball court as a map, a parcel of the earth, or simply a Cartesian coordinate plane then every location on the court can be specified by a coordinate pair. If we consider one type of basketball event—a shot or field goal—every occurrence of this event on the court will have its own corresponding coordinates. Aside from coordinates, these field goals can also have attributes or marks—the name of the player, the name of the team, the opponent, the time left on the clock, whether the shot was made or not, whether it was defended—that provide other information about the field goal. If we take this collection of field goals, what we actually have is a collection of points in space that is, similar to any spatial point dataset, susceptible to spatial analysis. This is why it makes sense to analyze basketball from a spatial perspective. In countries with advanced player tracking systems, they’ve been able to perform studies and research that challenge conventional wisdom and create a deeper understanding of the spatial aspects of the game. For the past few years, I’ve been trying to do the same in the Philippines even though we do not have advanced player tracking systems and have a severe lack of readily available basketball-related spatial data. This presentation will talk about how spatial concepts and open source technologies can be used to map and spatially characterize the game of basketball by providing examples of spatial analysis and visualization of field goals in the University A...https://video.osgeo.org/videos/embed/1749d23d-72fc-4bea-be31-0d7a8260bbddhttps://video.osgeo.org/w/jnyQXYUdhMXCeQAeSqiQvahttps://video.osgeo.org/lazy-static/thumbnails/b3a6636d-c777-4184-bc98-47c9cc2c2cfc.jpgFOSS4G 2021 - SpaceLiDAR.jl: A Julia package for processing ICESat-2 & GEDI satellite LiDARWe present the first open-source toolbox for both ICESat-2 and GEDI satellite LiDAR data as a Julia package. ICESat-2 and GEDI are two NASA missions launched at the end of 2018. The GEDI full waveform LiDAR is attached to the ISS and investigates vertical forest structure. ICESat-2's ATLAS instrument is a discrete LiDAR system in a polar orbit and investigates ice sheets. SpaceLiDAR.jl can search for, download, convert and analyze datasets produced by both missions, specifically the L2A product of GEDI and the ATL03 and ATL08 of ICESat-2, which are the first geolocated products. Furthermore, it can derive points, linestrings, interpolate rasters and store them, making use of the Julia ecosystem, including the recent GeoDataFrames.jl, a spatially enabled Tables interface, built on top of GDAL. This package and Julia in general enable us to do our research into improving global elevation models. Authors and Affiliations – Pronk, Maarten (1) (1) Deltares Track – Software Topic – Sensors, remote sensing, laser-scanning, structure from motion Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/94c75b24-65a2-4d4b-940e-1d1dc1d03d03https://video.osgeo.org/w/eDfNmS3Ae4D6Yn9TBrypYWhttps://video.osgeo.org/lazy-static/thumbnails/5318c3a3-6e20-46f2-9003-aa48f09b7f2e.jpgFOSS4G 2021 Portability of cartographic symbols library for open standardsThe Geological Survey of Brazil has a library of palaeontology symbols to use in geological mapping works, currently in bitmap format and adapted for ESRI platform. This type of representation has presented anti-aliasing problems when reduced, in addition to not being suitable for map presentation on the web, according to OGC (Open Geospatial Consortium) specifications. This work presents a reproducible method in any symbol library type. The method consists of converting the symbol library to open-source format, resulting an OpenType font file, which can be installed on any operating system and view each symbol font in any software that has this functionality, such as a GIS (Geographic Information Systems) software. The need to develop font construction technique is due to improving typographic quality of cartographic representations and making library compatible with main GIS softwares. Those 61 pictorial palaeontology symbols were converted, one by one, to SVG (Scalable Vector Graphics) format. We imported each symbol as a glyph in FontForge font editor. Major computer platforms use OpenType format due to its wide availability and typographic flexibility, including provisions to deal with diverse characteristics of internationally symbolic alphabet systems. There is even the possibility of symbols standardizing in the UTF-8 alphabet system, an issue for the scientific community to study. The advantage of using the SVG format is its size, a compact text file, and has an excellent compression factor. In addition, version-control repositories, like GitHub, can store SVG files, which would facilitate content management. The adopted method proved to be applicable to any cartographic symbols library with good results. Rendering tests on different platforms (web or desktop) showed no noticeable differences. One of the most important aspects of the method presented in this work was to make cartographic symbols library public and open-source for use by the geoscientific...https://video.osgeo.org/videos/embed/6e7a7145-6fad-49d6-8da5-2a26f35f5f52https://video.osgeo.org/w/gyoSsrVHuMV3Ut22oWyvEPhttps://video.osgeo.org/lazy-static/thumbnails/742fc5cc-9fe4-4501-bbbc-82e4b7c61e86.jpgFOSS4G 2021 COVERAGE: A Prototype Open Source Technology Platform Enabling Enhanced Access .....COVERAGE: A Prototype Open Source Technology Platform Enabling Enhanced Access to Inter-agency Satellite Data Products in Support of Ocean Sustainability Applications COVERAGE seeks to provide improved access to multi-agency ocean remote sensing that are better integrated with in-situ and biological observations in support of science and decision support applications for societal benefit. COVERAGE is an international initiative and 3-year pilot project within the Committee on Earth Observation Satellites (CEOS) with links to GEO-MBON and GEO-Blue Planet. It focuses on implementing open source technologies, including cloud-based solutions, to provide a data rich, web-based platform for integrated ocean data delivery and access: multi-parameter observations, easily discoverable and usable, organized thematically, available in near real-time, and complemented by a set of value-added data services, including visualization and analytics. COVERAGE development is organized around priority use cases identified by agency partners. Here we provide an overview of the initiate and technology aspects. Emphasis is also placed on describing the thematic demonstration on the dynamics of high seas tuna fisheries in relation to the environment. Please see the abstract above. Authors and Affiliations – NASA, JPL Track – Transition to FOSS4G Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/7dfef981-b4ff-49a8-a13b-e346f7f21bbfhttps://video.osgeo.org/w/kMkGqNR55yaGnBBvV1iA6Mhttps://video.osgeo.org/lazy-static/thumbnails/169fa534-f4f9-46f4-9941-9ee77b4f529e.jpgFOSS4G 2021 Zonebuilders: cross-platform and language-agnostic tools for generating zoning systems..Zonebuilders: cross-platform and language-agnostic tools for generating zoning systems for urban analysis and modelling Zones are key building blocks used for analysis and creating models (mental and statistical) of urban and environmental systems. Used in a range of fields from biodiversity assessment to transport planning, spatially contiguous areal units break-up continuous space into discrete chunks. Many methods rely on good zoning systems, including origin-destination analysis, geographically weighted regression, and choropleth visualisation. Open access administrative boundaries are increasingly available through national databases and OpenStreetMap but are often inappropriate to geographic research, analysis and map making needs, being often: based on arbitrary factors; inconsistent between different cities/regions; and of highly variable sizes and shapes. This talk outlines an approach to tackle these problems: tools that can auto-generate zones based on minimal input data. We propose cross-platform and language agnostic implementations to enable a diverse range of people to generate bespoke zoning systems for their needs based on the understanding that accessibility, flexibility and extensibility are key to usability. We also demonstrate working tools that take a step in this direction which at the time of writing include: a core library written in Rust with small and fast binaries available for all major operating systems an R package (published on the Comprehensive R Archive Network, CRAN) that also enables visualisation of zoning systems We plan to create a Python Package, a QGIS plugin and web user interface based on the core library and welcome suggestions and contributions via our GitHub organization: https://github.com/zonebuilders. Based on the experience of developing these tools, we will discuss next steps towards accessible and flexible zone building tools and language/platform agnostic tools for geospatial work in general. We conclude ...https://video.osgeo.org/videos/embed/a0323e2f-b76c-4f80-94c5-3a969176289fhttps://video.osgeo.org/w/riZRcXfUA9133H5bJZrmWwhttps://video.osgeo.org/lazy-static/thumbnails/f2e0d189-fcac-4b77-acd8-090b3b47a332.jpgFOSS4G 2021 Using open source geospatial software to process, search, and analyze the data of....Using open source geospatial software to process, search, and analyze the data of our planet At Microsoft AI for Earth we're taking petabytes of openly licensed, cloud optimized Earth science data and making it searchable and analysis-ready in what we're calling a Planetary Computer. We've built pipelines that process data into cloud optimized formats, derive metadata in the SpatioTemporal Asset Catalog (STAC) format, and index the data such that it is queryable through the OGC API - Features and STAC API standards. We're also supporting the integration of our data within the Pangeo open source ecosystem to enable open architecture approaches to Earth science analytics and applications. In this talk I'll present the architecture of the Planetary Computer, how it is built on the amazing ecosystem of open source tools that work with these datasets, and how we build in a way that enables contribution to and support of that ecosystem. Authors and Affiliations – Rob Emanuele, Microsoft Track – Software Topic – Data collection, data sharing, data science, open data, big data, data exploitation platforms Level – 3 - Medium. Advanced knowledge is recommended. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/ccf7c2cb-b84d-41e2-939b-2685e60dc362https://video.osgeo.org/w/8oRLtuMyZ9qTZQXZhW2e9qhttps://video.osgeo.org/lazy-static/thumbnails/a3383e73-6309-4b7c-beac-e1c36787e23d.jpgFOSS4G 2021 Introducing pygeometa: Metadata creation for the rest of uspygeometa is a powerful and simple metadata transformation utility using YAML configurations. This lightweight and flexible tool can be used standalone or as part of larger systems, helping make geospatial metadata workflows easier by reducing repetition and overhead of formal metadata standards. pygeometa is to geospatial metadata as what Sass is to CSS. Come and check out our first ever presentation! pygeometa provides a lightweight and Pythonic approach for users to easily create geospatial metadata in standards-based formats using simple configuration files (affectionately called metadata control files [MCF]). Leveraging the simple but powerful YAML format, pygeometa can generate metadata in numerous standards. Users can also create their own custom metadata formats which can be plugged into pygeometa for custom metadata format output. For developers, pygeometa provides a Pythonic API that allows developers to tightly couple metadata generation within their systems and integrate nicely into metadata production pipelines. The project supports various metadata formats out of the box including ISO 19115, STAC, the WMO Core Metadata Profile, and the WIGOS Metadata Standard. pygeometa has minimal dependencies (install is less than 50 kB), and provides a flexible extension mechanism leveraging the Jinja2 templating system. pygeometa is open source and released under an MIT license. This presentation will provide an overview of the project as well as key usage examples in WMO, open data and EO communities/projects. Authors and Affiliations – Tom Kralidis (Meteorological Service of Canada) Alexandre Leroux (Meteorological Service of Canada) Track – Software Topic – Standards, interoperability, SDIs Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/3be100e1-39ec-4455-926e-a0f1b93d0e04https://video.osgeo.org/w/hGb3NQfv5SDcfFGTT48jVfhttps://video.osgeo.org/lazy-static/thumbnails/2162ea49-9412-4501-8afe-b21951b18ef3.jpgFOSS4G 2021 The status of GIS teaching in South African secondary schools including an ......The status of GIS teaching in South African secondary schools including an evaluation of Free and Open Source Software for Geospatial (FOSS4G) using QGIS software and OpenStreetMap (OSM) data as teac South Africa is one of only a few countries that has Geographic Information Systems (GIS) in the secondary school curriculum. Of these few, SA is even more singular as its Geography syllabus includes GIS geoprocessing. The status of GIS teaching in secondary schools is investigated with the aim to determine if the use of Open Source software and data such as QGIS and OSM would facilitate the use of GIS as a teacher intervention. The data was collected by means of an online questionnaire and a smaller sample was interviewed. Results from this study show that only a minority of teachers teach practical GIS classes irrespective of their Examination Board, access to hardware, how resourced their school is or whether they teach at a private or a government school. The key determinants to teaching practical GIS lessons are the teacher’s perceived GIS expertise and access to GIS data and time. Software, connectivity, and power supply were also identified as challenges. Teachers who participated in the study overwhelming agree that there are numerous benefits to using GIS in the classroom. They also expressed a keen willingness to attend GIS courses and learn more about FOSS4G tools. A sample group evaluated how OSM could be used to create local GIS spatial data and how QGIS can be used to teach the GIS curriculum and used to map local data for individual research projects. FOSS4G empowers teachers with the means to create exciting, real, and relevant teaching content that can be used on all platforms, especially in online teaching, if required. There is an urgent need for more current research, both globally and locally, into how GIS can be used more in secondary school pedagogy. This talk will describe how GIS has reached a new phase in its technical development where te...https://video.osgeo.org/videos/embed/872e2972-ddab-4825-8274-0f3df88daf80https://video.osgeo.org/w/ptQEFVni7xkoHcwWCTarMhhttps://video.osgeo.org/lazy-static/thumbnails/f5b4d4f3-d6b5-41d1-93fe-e73d59634628.jpgFOSS4G 2021 Getting started with STAC for public datasetsThe last year has seen a huge increase in the number of software tools and public catalogs made available as SpatioTemporal Asset Catalogs. NASA has made their Common Metadata Repository (CMR) available via a STAC compliant API, exposing petabytes of freely available data. Microsoft has launched the Planetary Computer that exposes datasets through a STAC API. E84’s Earth-Search provides a STAC API for public datasets on AWS. Google now provides a STAC Catalog for all their datasets available on Google Earth Engine. It’s great that all this data is available because it allows the user of a common set of tools to interact with that data. But, what are those tools? Given a STAC API with data of interest how does one go about searching and accessing that data? This talk will give an overview of several publicly available STAC API endpoints and how to use several open-source tools with them. It will be demonstrated how to use libraries such as PySTAC and PySTAC-Client to open and quickly search catalogs, and access the assets for different tasks through libraries such as intake-stac, stac-vrt, and stackstac. Finally, attendees will learn best practices to create their own STAC metadata and catalogs for derived data, allowing data provenance to be tracked from new data back to it's source. This will be tutorial on using open-source STAC tools for searching and using popular public datasets available from NASA and through major cloud providers. Authors and Affiliations – Hanson, Matthew (1) (1) Element 84 Track – Use cases & applications Topic – Data collection, data sharing, data science, open data, big data, data exploitation platforms Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/be25435a-69b1-4db8-8611-1eb63c9d245ehttps://video.osgeo.org/w/1f4bcJaUt11fanHDt1azkThttps://video.osgeo.org/lazy-static/thumbnails/de66ba63-22b9-4097-8350-4e5fa10b1245.jpgFOSS4G 2021 GIS for Small Cities - A Hybrid ApproachImperial Beach, CA is a small city in San Diego county, California. The GIS department faces budget and staffing challenges common to many small cities. To overcome these challenges, I have used a combination of commercial and open-source software. incorporating a PostgreSQL/PostGIS database, and ArcGIS for viewing. As with any organization, needs change, and these have resulted in moving away from a focus on the desktop, to a web viewer for most GIS needs. As it happens, this platform has its underpinnings firmly in the FOSS arena. At the same time, the timing was right to shift my primary editing and mapping on the desktop to QGIS. Going in the opposite direction to a degree, the need has also arisen to utilize different Esri software to support other city software needs, and thus a process has been developed to transfer data as necessary. In this presentation I will detail how the GIS is being restructured to serve multiple data endpoints with a minimum of duplication. This is accomplished through a combination of the existing database, moving data to Amazon AWS, and adding some programming to tie it all together. Through it all, the pieces that I do pay for act as a multiplier on the results I would be able to achieve by doing things myself. In many cases, the funds are going to development of applications, or technical support, with concrete benefits, as opposed to paying for licensing. When all is said and done, by judicious utilization of FOSS geospatial, you don't need a huge budget to have a highly flexible, expandable system to meet the needs of multiple departments, staff and software. A bit of history will help where I am now, make more sense. When I arrived at the city in 2011, there was no GIS infrastructure aside from a file server. I implemented an Esri-based system using a single desktop license with a viewing software extension. I knew about this from past work, and knew it would be appropriate for this situation, at least to get started. My...https://video.osgeo.org/videos/embed/01f65eb8-2d53-4b04-b9ab-ef7d5f27d62dhttps://video.osgeo.org/w/tmj5ko9gP6JH8DUzFMTWPVhttps://video.osgeo.org/lazy-static/thumbnails/2dfcf8ad-9636-43df-b5cd-2b471ffd88db.jpgFOSS4G 2021 SatProc: an open-source library to train and deploy Deep Segmentation Neural Nets for...SatProc: an open-source library to train and deploy Deep Segmentation Neural Nets for geospatial imagery. Training deep learning models with geospatial imagery is hard. You need to transform the imagery to feed the neural network taking into account the geospatial side of the data. In this workshop, we show how to easily train and deploy deep segmentation networks like U-NET with geospatial imagery using the open-source library SatProc. SatProc library aims to detect and classify different objects of interest using satellige images and Deep Neural Networks, such as burned areas or informal assessments through massive areas. It is divided into four main steps. The former, downloads and preprocessing images for subsequent training of the model and future predictions over them. The second step is training the machine learning model. The third one is model prediction over a region of interest. And the last one results in post-processing and presentation. Each one is described in more detail next. The purpose of image pre-processing is to generate good quality and quantity set of images to train the model. Besides, as the model consists of a classification and segmentation neural network, we need a binary mask for each image that determines the object of interest to be classified in it. This Python (with TensorFlow) library has several features such as the creation of data sets for model training, which contains two folders. The first one with the images themselves and another one with a binary mask of the same size with delimitations of the object of interest. Training and prediction can be done with images of different sizes and intensities which can improve model quality and performance. The tool considers an original image and vectorial layers with the object of interest. In case we work with many categories then the mask will have a binary band for each one (N-Dim). The Model is a neural network with a U-Net architecture. It segments and classifies objects. O...https://video.osgeo.org/videos/embed/dd7cc217-2b10-494b-9ff1-2c08eac7acdbhttps://video.osgeo.org/w/139kLQ3VghWzVhcCHgtHXHhttps://video.osgeo.org/lazy-static/thumbnails/5b8d2a52-ceb9-47bc-9e65-fb0301891d17.jpgFOSS4G 2021 GED -Toolkit: Open Geospatial Data and tools to support generative economic process in..GED -Toolkit: Open Geospatial Data and tools to support generative economic process in local communities. The main question around which the contents of the paper presented here are articulated is: How can FOSS GIS support the triggering of generative economy processes in small settled communities? The paper answers this question by proposing a toolbox made up of specific Open Geospatial Data that can be processed through FOSS GIS, these data consist of specific maps, accompanied by numerical values. The information collected is intended to lay the foundations for an open access manual of procedures to support the creation of an open shared database. This manual, currently under development, is created within a basic research funded by the Politecnico di Milano and is an integral part of an experimental game aimed at supporting students in the development of local self-sustainability scenarios. The manual is called the GED Toolkit. The acronym GED stands for Generative Environmental Design, with this term we refer to an approach to the design of the anthropized environment oriented towards the development of generative economies. This last term in particular refers to what is defined in the works of Marjorie Kelly (Owning Our Future, 2012), in this regard the author writes: “It's a corner of the economy (hopefully someday much more ) that's not designed for the extraction of maximum financial wealth, Its purpose is to create the conditions for life". Kelly and Ted in this regard present 7 basic principles that identify the characteristics of a generative economic process (Kelly, Ted, 2019). The paper illustrates how from real good practices consistent with these principles, the information concerning them can be translated into meaningfull maps. The latter are useful in the first place to understand the systemic characteristics of the practice itself and the relationship with the territory that hosts it, and secondly to verify the possible transferability to ot...https://video.osgeo.org/videos/embed/004ca0b8-23b6-4da1-827d-354437747eabhttps://video.osgeo.org/w/jAttR5Y8M5EVg36Zapbis7https://video.osgeo.org/lazy-static/thumbnails/c4862e28-99ed-4eea-b7ad-3c7feb2dd5cc.jpgFOSS4G 2021 Serverless is more for climate action: How the Global Seagrass Watch project enhances ..Serverless is more for climate action: How the Global Seagrass Watch project enhances coastal nature-based solutions Seagrasses are one of the most valuable yet underestimated components of the world’s interconnected seascape environment along with mangroves, tidal flats, corals and kelp forests. Spread in 160 countries, seagrasses are vast carbon sinks storing 20% of the global oceanic carbon pool with burial rates 10 times larger than tropical forests, therefore heralded as nature-based solutions to climate change. Here, we present the Global Seagrass Watch project which is funded by DLR and supported by the GEO-GEE program. The project aims to build a cloud-native seagrass carbon monitoring service within the open Google Earth Engine platform, amalgamating cloud computing, artificial intelligence, open big satellite data with open field data collections. We demonstrate regional and national seagrass carbon stock inventories across 128,000 sq. km in East Africa which could assist policy makers and governments to update their Nationally Determined Contributions for strengthened climate action in and beyond East Africa. Please see the abstract above. Talk, Climate Action Authors and Affiliations – DLR Track – Transition to FOSS4G Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/9694b822-a2ce-4fbd-8345-3387e9295eaehttps://video.osgeo.org/w/cre8U4y5Sggr8nPjzoeZ8qhttps://video.osgeo.org/lazy-static/thumbnails/6c20aebf-7748-4732-b876-40df6b151224.jpgFOSS4G 2021 Annual General Meeting 2021All OSGeo projects, initiatives and chapters will present their status and share the news from this past year since the last meeting. We have been active in advance and asked our community for short videos about the status of their project. We are happy to be able to publish the OSGeo Annual General Meeting video on the OSGeo YouTube channel [https://www.youtube.com/watch?v=daXH-fcvrOg]. It was amazing to get all the videos from local chapters, projects, committees and initiatives. We hope we did not miss any video. A big thanks to all the community members who provided a video and to Vicky Vergara who mixed them all together. Now you are invited to watch the AGM 2021 video in advance of our meeting on Friday. If there are questions or topics for discussion we can follow up on the Virtual AGM on Friday. Annual General Meeting assembly for 2021 for the OSGeo Foundation. Leaded by the OSGeo Board and run by the community. Authors and Affiliations – OSGeo Requirements for the Attendees – Please view the AGM video before attending https://www.youtube.com/watch?v=daXH-fcvrOg Track – Community / OSGeo Topic – Community & participatory FOSS4G Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/5c9a3707-979b-4611-b51e-670f198c80bahttps://video.osgeo.org/w/qtftT8ndKGPS4M5wgaGFUChttps://video.osgeo.org/lazy-static/thumbnails/afc21429-2b30-4b86-b65d-fcb8742a587f.jpgFOSS4G 2021 El uso del aplicativo de codigo abierto MAPEO en la Reserva Comunal Amarakaeri, PeruLa Reserva Comunal Amarakaeri es un área natural protegida en la selva Sur del Perú ubicada en la región de Madre de Dios, provincia de Manu. Fue creada en 2002 a petición de los Pueblos Indígenas Harakbut, Yine y Matsiguenka, los habitantes del territorio desde tiempos ancestrales. Actualmente el área es gestionada de manera conjunta entre las comunidades indígenas representadas por el ECA-Amarakaeri y el Servicio Nacional de Áreas Naturales Protegidas por el Estado del Perú (SERNANP). La cogestión de la Reserva Comunal Amarakaeri viene apostando por el uso de herramientas tecnológicas para fortalecer su sistema de vigilancia y control. Entre ellas se encuentra MAPEO, un sistema gratuito de código abierto para el mapeo y monitoreo territorial. Desde 2018, los vigilantes comunales y los guardaparques del SERNANP están usando el aplicativo MAPEO Mobile en celulares smartphone para recoger información durante los patrullajes. Por otro lado, los coordinadores y equipo técnico del área de vigilancia y control usan el programa MAPEO Desktop para visualizar y analizar la información recogida y generar informes de patrullaje para uso interno en la gestión de la RCA y para compartir con entidades externas con el objetivo de intervenir sobre las actividades ilegales encontradas. Entre las ventajas de MAPEO destacan el envío de alertas inmediatas a través de correo electrónico o Whatsapp y la inexistente necesidad de internet a la hora de usar el aplicativo y sincronizar bases de datos entre celulares y computadoras de un mismo proyecto. MAPEO permite la recogida de información geoespacial, imágenes y texto con el celular y, además, permite la personalización de las categorías, los iconos y los formularios usados para recoger información. Por último, el sistema MAPEO garantiza la soberanía de datos por parte de sus usuarios, ya que no necesita de un servidor central externo. En esta presentación descubriremos las funciones del aplicativo MAPEO y como viene siendo aplicado ...https://video.osgeo.org/videos/embed/c629556c-8f79-4e65-a629-f49354017d18https://video.osgeo.org/w/pJC4ZCBLycjZWZTuQMHeLShttps://video.osgeo.org/lazy-static/thumbnails/750a5d41-2053-440f-a180-67fcaaa0306d.jpgFOSS4G 2021 State of mago3D, An Open Source Based Digital Twin PlatformI'll talk about the current state of mago3D project, an open source based Digital Twin platform. mago3D(https://github.com/Gaia3D/mago3djs) is a relatively new project first released in July 2017. The ultimate goal of mago3D project is developing an open source based digital twin platform that can replicate and simulate the real world objects, processes, and phenomena on web environment. mago3D is on its way to achieve this goal now. As a Digital Twin platform, it can integrate, manage, and visualize various kinds of data formats sucs as CityGML, IndoorGML, LAS, IFC, 3DS, and other popular GIS formats. It utilizes tons of open source projects as a baseline framework. mago3D has been used in various industry sectors including ship building, urban management, indoor data management, and national defense. In this talk I'll showcase several real projects that employed the mago3D and will talk about recent improvements and new features of mago3D. I'll give a talk about an open source project called mago3D, a digital twin platform on top of many FOSS4Gs. Authors and Affiliations – Sanghee Shin, Gaia3D Track – Software Topic – Software/Project development Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/c035a7de-b500-4f5c-a0db-dfb5f72b7eb6https://video.osgeo.org/w/oVR3J9h5kpWhoGfPEZkCfRhttps://video.osgeo.org/lazy-static/thumbnails/67249297-c15b-46d6-894b-a0b9e6d9dac7.jpgFOSS4G 2021 Aggregating global insurance risk in real-time using Elasticsearch and H3Insurance companies can underwrite millions of locations and having too much risk in one place can mean the difference between profit and loss. In this session we will explore the business challenge and understand how a geospatial platform based on Elasticsearch and the Uber H3 spatial index can help insurers make better decisions. Insurance companies can underwrite millions of locations through complex distribution networks of brokers and direct channels and having too much risk in one place can mean the difference between profit and loss, In extreme cases a catastrophic event such as 9/11 could bring down the company completely. In this session we will explore the business challenge and understand how a geospatial platform based on Elasticsearch and the Uber H3 spatial index can help insurers make better decisions and avoid accumulation issues. The techniques that we will demonstrate are applicable to many real-world problems where we have large amounts of data that need to be visualised and analysed in real-time. Authors and Affiliations – Mark Varley, Addresscloud, United Kingdom Track – Use cases & applications Topic – Business powered by FOSS4G Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/b9adb255-f053-44f9-99a0-46a89f73e875https://video.osgeo.org/w/5tdcdYtDwicSW4ph36mdYWhttps://video.osgeo.org/lazy-static/thumbnails/6a127344-992f-43c7-a3ab-ab31838d34da.jpgFOSS4G 2021 Spatial interaction models, internal migration and FOSS4GISThis research paper explores internal migration with FOSS4GIS technologies, such as Python, Geopandas and QGIS, to develop internal migration scenarios using spatial interaction models. Migration can be defined as the geographical mobility of people in order to change their usual residency, traversing the limits of geographically defined entities, like countries or states, for a considerable period of time. Migration, after fertility and mortality, is the third factor determining population change. Migration is understood as a socio-spatial phenomenon, as geographic space plays a relevant role in it’s origination and evolution, e.g.: facilitating migratory fluxes between neighboring regions, or by the contrary, discouraging migration between very distant or poorly connected regions. This research paper addresses internal migration and produces a future internal migration scenario using spatial interaction models as a method, applied on migration matrices based upon national census data. The data was processed and analysed using R and Python, specially the Python libraries Pandas, Geopandas and StatsModels. Authors and Affiliations – Guillermo D'Angelo, Universidad de la República, Uruguay. Track – Education & research Topic – Data visualization: spatial analysis, manipulation and visualization Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/243126a4-914c-48c2-8c08-62171c3da6c6https://video.osgeo.org/w/xfCuEY1gMtoTYG52ud9c51https://video.osgeo.org/lazy-static/thumbnails/36a38fff-6907-4477-a312-152a1905a11e.jpgFOSS4G 2021 - Caching time changes in mapsOpen History Map aims to display the changes that happened in the past both from a political as well as a social and topographical point of view. the storage of these multi-dimensional changes has an enormous impact on the way the map is visualized. For this reason we needed to develop a caching system that was on one side flexible enough to display a non-quantizable dimension (time) and give us the possibility to pre-cache the whole system into a distributable package for easy local usage and possibly fast update of the package. The caching system itself is backend independent and defines a process to simplify access to a mix of discreet (x,y,z) and continuous (t) identifiers for independently variating geospatial datasets. Authors and Affiliations – Marco Montanari (1), Lorenzo Gigli (2) (1) Open History Map, (2) University of Bologna Track – Software Topic – Data visualization: spatial analysis, manipulation and visualization Level – 3 - Medium. Advanced knowledge is recommended. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/fd1633a1-1834-4797-bf8d-a41d8093b134https://video.osgeo.org/w/nKzrxHBcAqLswSo9ua4srohttps://video.osgeo.org/lazy-static/thumbnails/025a76d9-befa-4cf3-94b8-7e17d8a835b8.jpgFOSS4G 2021 Mapping, sharing, and protecting Indigenous oral histories using the open-source tool ..Mapping, sharing, and protecting Indigenous oral histories using the open-source tool Terrastories For hundreds of years, elders in Indigenous communities have shared their stories, their memories and their histories about their ancestral territory with their children and grandchildren. Without written languages, Indigenous cultures depend on stories and the generational bonds created through oral tradition to learn about the historical and cultural significance of their homelands. As colonization, deforestation and acculturation creep deeper into the Indigenous ways of life in the Amazon rainforest and elsewhere, that living memory is harder and harder to transfer from generation to generation. Consequently, younger Indigenous people do not get the opportunity to develop the same intimate relationship to the territory as their elders have. To help keep Indigenous stories and storytelling traditions alive, we developed a methodology and built an accompanying free and open-source application called Terrastories. The application is available for any community in the world to map their oral histories, enable youth to learn about their culture in a fun and interactive way, and maintain sovereignty over their own data by making decisions about which stories are restricted and which are shared publicly. In this talk, I will present on the unique context in the Amazon rainforest in which the idea for Terrastories was born; talk about our journey into open-source development, and some of the lessons learned in managing an open-source community of volunteer software engineers; give a short demonstration on how the Terrastories application works; and conclude by posing some difficult questions around consent and data protection. Authors and Affiliations – Kemper, Rudo. Digital Democracy. Track – Use cases & applications Topic – Indigenous Mapping / Pueblos Originarios Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – ...https://video.osgeo.org/videos/embed/b025809c-740e-4bd2-b05b-e7af8ce95bf0https://video.osgeo.org/w/6f6gqZRSuFhMGgnZxzXWkihttps://video.osgeo.org/lazy-static/thumbnails/6b42c173-3e25-4787-9c67-4d99fd541f5d.jpgFOSS4G 2021 Mapping Pedestrian Ways with Computer Vision and Street-level ImageryMapping pedestrian infrastructure on OpenStreetMap has entered a new age. With the latest AI-powered mapping tools from Facebook, sidewalks and crosswalks visible in Mapillary imagery can now be easily translated into geospatial data, representing the network of routable features on the map. Sidewalks are historically under mapped in OpenStreetMap, with many towns and cities worldwide showing only roads. For the pedestrian, adding sidewalks to the map, as well as using a map with accurately displayed footways, is a frequent challenge. This is all changing with a new workflow that uses computer vision to derive sidewalks and crosswalks from Mapillary street-level imagery and predict their geospatial locations. Join us in this session to learn more about how we created a sidewalk and crosswalk network from street-level imagery, and how to use the latest tools to map a sidewalk near you. At Facebook, we are working on the latest AI-powered mapping tools to help generate a large scale open dataset of sidewalks, derived entirely from user contributed street-level images to Mapillary. This project focuses on three main aspects: 1) an overarching goal of turning user contributed imagery into user-contributed sidewalks and crosswalks 2) solving the challenge of how exactly a street-level imagery and computer vision detected sidewalks can be projected onto the map as sidewalk and crosswalk data 3) presenting the OpenStreetMap community with a robust, practical, and well-crafted tool for creating maps with this sidewalk and crosswalk data The role of the community is key in both being able to capture Mapillary imagery as well as map sidewalks derived from their own imagery. The community can provide both the input and the output of this workflow. The more imagery a community captures, the more the available sidewalk data scales in previously unmapped areas. The Facebook team has focused on finding the best method of converting street-level imagery from Mapillary cont...https://video.osgeo.org/videos/embed/2a7559f5-5229-4f9d-9aaf-b000187a99bfhttps://video.osgeo.org/w/5vG9AKM2aF7b4ne9rdFJ46https://video.osgeo.org/lazy-static/thumbnails/5f40f500-a55c-4d98-9630-cc2c50bd5ac8.jpgFOSS4G 2021 A sensor network based on IoT and istSOS to analyse the catch basin environment in the..A sensor network based on IoT and istSOS to analyse the catch basin environment in the context of the Ae.Albopictus proliferation in Switzerland. In Switzerland there is an increasing awareness for the expansion of invasive foreign mosquitoes species, such as Aedes Albopictus also known as Asian tiger mosquito, because of their ability to transmit arboviruses (e.g. dengue, chikungunya). These species' prolification are particularly dependent on some environmental parameters such as temperature and rain patterns. In literature there are many studies that analyzed the potential of the proliferation in function of the temperature and they showed an increasing egg mortality when temperatures are below 2° Celsius for a sufficient period of time. Although the Ae. Albopictus can potentially reach the North of the Alps exploiting the traffic crossing the country, according to predictions based on climate driven large-scale model it can proliferate in part of the Swiss Plateau and in the area of the Lake Geneva while other areas, such as Zurich and Basel, seems currently to have too cold winter seasons for the survival of the eggs. However, the increasing of the temperatures due to the climate change, the presence of urban heats and of particular micro-habitats can favor the survival of the disposed eggs. The monitoring of such micro-areas allows us to better understand the environmental conditions and act in time to monitor or even prevent the establishment of such invasive species. In this context, the ALBIS (a new integrated system for risk-based surveillance of invasive mosquito Aedes albopictus in Switzerland) project aims at monitoring Ae. albopictus by making data analysis more automated, more dynamic and efficient in order to study the possible migration and establishment of the mosquito in areas where apparently the cold weather conditions during the winter season are not suitable for its proliferation. This is possible through the integration of multidiscipli...https://video.osgeo.org/videos/embed/2489ddc0-511f-4628-89a5-53b7274c4393https://video.osgeo.org/w/jiVymUSSJB5nEuBZKqty7Mhttps://video.osgeo.org/lazy-static/thumbnails/66687df2-bf60-451e-bd2a-a6563fe8475e.jpgFOSS4G 2021 QGIS, Football, what else ?For more than 20 years, many professional football (soccer) clubs have been interested in data to analyse their team performances in order to be as competitive as possible. The amount of data being acquired has increased significantly in the last few years and new metrics are emerging regularly. Some companies like Statsbomb or Opta are specialized in football data acquisition. They opened a part of their API, giving everyone the chance to create awesome visualisations or to prove that their favourite team is the best... This data is now used by analysts, technical staff of teams, medias and even fans. As football is a game defined in a specific space (the pitch) and time (90 minutes), we can use GIS to analyse tracking and event data. The purpose of this talk is to show that these spatio-temporal data can be imported into QGIS, thanks to the new QSoccer plugin. We could then exploit the different QGIS and PostGIS facilities so as to understand what is going on in a match. Bibliography : * https://gitlab.com/Oslandia/qgis/QSoccer * Van Hoeve, L. T. (2017). “Geovisual football analytics: towards the development of an interactive visual interface for football coaches, analysts and players (master’s thesis).” University of Utrecht, The Netherlands. * Van Hoeve, L. T. (2017). “How Geoinformation Enhances Professional Football.” https://www.gim-international.com/content/article/geovisual-football-analytics * Kotzbek, G., & Kainz, W. (2014). “Football Game Analysis: A New Application Area for Cartographers and GI-Scientists ?” Vol. 1 and Vol. 2 of the 5 th International Conference on Cartography and GIS. 15-21 June 2014, Riviera, Bulgaria, pp. 299-306. * Kotzbek, G., & Kainz, W. (2015). “GIS-Based Football Game Analysis – A Brief Introduction to the Applied Data Base and a Guideline on How to Utilise It” Proceedings of the 27th International Cartographic Conference, 2015, pp. 1-10. Authors and Affiliations – Benoît Blanc (1) Raphaël Delhome (1) (1) Oslandia, Fran...https://video.osgeo.org/videos/embed/9445256e-e48c-43f9-b656-91414b77d361https://video.osgeo.org/w/aBPBdGZBA8JouNCQqeSvX9https://video.osgeo.org/lazy-static/thumbnails/d37cf7e4-8b7a-49e9-9b58-289990b5d263.jpgFOSS4G 2021 - Using Jupyter Notebooks for viewing and analyzing geospatial data: Two examples for...Using Jupyter Notebooks for viewing and analyzing geospatial data: Two examples for emotional maps and educational data This research presents two applications developed using Jupyter Notebook in the Google Colab, combining several Python libraries that enable an interactive environment to query, manipulate, analyse, and visualise spatial data. The first application is from an educational context within the MAPFOR project, aiming to elaborate an interactive map of the spatial distributions of teachers with higher education degrees or pedagogical complementation per vacancies in higher education courses. The Jupyter solutions were applied in MAPFOR to better communicate within the research team, mainly in the development area. The second application is a framework to analyse and visualise collaborative emotional mapping data in urban mobility, where the emotions were collected and represented through emojis. The computational notebook was applied in this emotional mapping to enable the interaction of users, without a SQL background, with spatial data stored in a database through widgets to analyse and visualise emotional spatial data. We developed these different contexts in a Jupyter Notebook to practice the FAIR principles, promote the Open Science movement, and Open Geospatial Resources. Finally, we aim to demonstrate the potential of using a mix of open geospatial technologies for generating solutions that disseminate geographic information. Authors and Affiliations – Gabriele Silveira Camara Federal University of Parana, Brasil. Graduate Program in Geodetic Science. Silvana Philippi Camboim Federal University of Parana, Brasil. Graduate Program in Geodetic Science. João Vitor Meza Bravo Federal University of Uberlandia, Brasil. Institute of Geography, Graduate Program in Geography and Graduate Program in Agriculture and Geospatial Information. Requirements for the Attendees – https://github.com/GabrieleCamara/emotional_maps/blob/master/visualizer_emotional...https://video.osgeo.org/videos/embed/4de29e6f-40b0-42b9-a4df-33b9cb803a32https://video.osgeo.org/w/myvLdQ2Ls2yp9fiMHKjSznhttps://video.osgeo.org/lazy-static/thumbnails/9f0d9337-2398-4139-abff-029f6c156ec6.jpgFOSS4G 2021 - Drone Monitoring in the AmazonIndigenous communities in the Amazon forest, are experiencing many changes related to climate change. Very strong rains are causing the rivers to overflow, affecting the food security of the communities who live by the rivers. They are also experiencing strong winds, and during the summer there are periods in which the sun is very strong causing droughts. Affected communities are left without water. On the other hand there are also periods when winters are very cold, causing the elderly and children to get sick. Indigenous knowledge today, as in the past, is crucial for adaptation to these changes and to cure and prevent associated illnesses. In this talk you will hear how the Indigenous Shuar community in the Ecuadorian Amazon are using drones and combining this information with their Indigenous knowledge and the challenges they are facing to adapt to these changes. please see the abstract above Authors and Affiliations – GEO Indigenous Alliance Track – Transition to FOSS4G Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Españolhttps://video.osgeo.org/videos/embed/a680ea64-3387-4de5-9434-ef33c7a10d77https://video.osgeo.org/w/bTwkUETZMr23MbrMadn1szhttps://video.osgeo.org/lazy-static/thumbnails/3ac122a9-acd8-4ad3-b44b-fe26a71d56ae.jpgFOSS4G 2021 - Actualización de un Catastro Municipal Utilizando SIG Libre, un caso de éxito en PYEl presente trabajo es un caso de éxito en la actualización de un catastro municipal utilizando herramientas libres, realizado en el distrito de Hohenau, departamento de Itapúa, Paraguay. Fue posible migrar los registros catastrales a un Sistema de Informaciones Geográficas Institucional, mediante el cual fueron integrados 3 departamentos de la municipalidad. Se trabajo con 19 barrios, 524 manzanas y 5.798 parcelas. Fueron actualizados 3.553 registros de construcciones e incorporadas 2.009 nuevos bloques , generando un incremento del 57%, lo cual se tradujo a un aumento del potencial de recaudación del impuesto inmobiliario de 64%. Esta charla pretende alentar y difundir la adopción de geo-tecnologías libres en la administración publica para la gestión municipal. A lo largo de la charla se abordaran las reglas de juego del sistema impositivo inmobiliario del Paraguay, el estado original del sistema catastral municipal, la metodología y técnicas utilizadas para mejorarlo, los logros y los desafíos futuros. Authors and Affiliations – Atahualpa Ayala, Hendata SRL, Paraguay. Track – Use cases & applications Topic – Government and Institutions Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Españolhttps://video.osgeo.org/videos/embed/582d04c0-37bb-4d80-b990-cf589a2e866dhttps://video.osgeo.org/w/x5pZEQouDNpxmnpFzsrg8phttps://video.osgeo.org/lazy-static/thumbnails/e45311e0-0510-4649-a376-12d93079ff76.jpgFOSS4G 2021 PaintTheMap: A Simple Web Interface for Geospatial Analysis and DashboardsWhen designers think through a design, most reach for a pencil. Today it might be a $100 digital pencil, but the direct expression offered by sketch tools can offer an advantage over more sophisticated tools: it frees us from the burden of thinking about how to use the tool at hand, and lets us focus mental energy on the problem. What if we could bring the same simplicity to exploring spatial models? PaintTheMap is a web-based tool that provides a simple interface for rapidly testing ideas connected to data: sketch a quick idea and you’ll get instant feedback on the areas you’ve painted. Each paint color can be classified (eg. land use categories) and measurements are updated in real time. PaintTheMap is a slippy-map based solution that supports painting anywhere on a map across multiple zoom levels. Painted pixels can be used for take-offs to inform numeric models - or combined with raster data in real-time to run analysis. Under the hood, PaintTheMap uses a canvas that lets the user draw in screen-space over any map. As soon as the brush stroke is completed the ‘paint’ is transferred into any map tiles beneath the canvas on the current layer and areas are recalculated. When the user adjusts the map, the reverse happens: paint from the map tiles is transferred onto the drawing canvas. The result is a seamless, global painting experience that understands the scale of each pixel. In this presentation, we’ll show examples of how we’ve integrated the tool via an iFrame into a calculator for embodied carbon and share further customizations including providing an easy way to identify flooded areas and combining the painted tiles with GeoJSON to quickly test development strategies. We will outline the basic mechanics of our approach as well as discussing the challenges and limitations of our tile-based solution. You’ll learn how to set up a new instance of PaintTheMap and build it into web-based analysis tools. See https://github.com/sasakiassociates/paint-the-map...https://video.osgeo.org/videos/embed/fba90f80-791f-45f7-979b-1625d2370831https://video.osgeo.org/w/uHwc57vDcuBRdCKxK1ebMXhttps://video.osgeo.org/lazy-static/thumbnails/9fda4485-e52f-4a2d-a35f-9a3c3e18f591.jpgFOSS4G 2021 ViRGiS - GIS in Virtual Reality3D GIS is becoming increasingly important, especially for practices such as the analysis of Geophysical data (such as GPR, gravimetric studies and even borehole data). Virtual Reality provides an exciting space to perform this analysis by allowing the practitioner to "enter into the data" and walk around it. ViRGiS is a FOSS project to develop this idea. ViRGiS (www.virgis.org) is a FOSS project to create a GIS in Virtual Reality. This allows the GIS practitioner to actively engage with 3D GIS data in native formats in a realistic 3D space. 3D GIS is becoming increasingly important, especially for practices such as the analysis of Geophysical data (such as GPR, gravimetric studies and even borehole data). Virtual Reality provides an exciting space to perform this analysis by allowing the practitioner to "enter into the data" and walk around it. They can actively interact with the data and change and mould the data in a naturalistic and simple manner. This talk will describe the solution and will use a Geophysics Case Study and a Point Cloud Mapping case study to show the abilities of the platform. Authors and Affiliations – Paul Harwood, Runette Software Ltd Dr Mark Harwood, Iscoed Consulting Ltd Track – Software Topic – Data visualization: spatial analysis, manipulation and visualization Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/e88bfb9b-57b4-432f-895c-4bbd933f20f9https://video.osgeo.org/w/4jVryS6t95MPUTWxzq61xRhttps://video.osgeo.org/lazy-static/thumbnails/9630f830-db3c-4ff4-9fda-2bb449626a25.jpgFOSS4G 2021 Cloud-free satellite imagery for UN Peace OperationsThere’s a staggering amount of optical satellite data from the European Copernicus program. A large proportion of this data is not usable due to the intense cloud coverage many regions face during different periods of the year. Detecting clouds from optical satellite data is a crucial step for analysing the data. This presentation dives into the technical challenges and decisions we met during the design and implementation of a fully automated data pipeline for the United Nations Peace Operations to generate timely updated, cloud-free satellite imagery from high-resolution open data. Most peace operations are in tropical regions and prone to persistent cloud coverage throughout the year. Open Data Cube (ODC) was utilised as the data platform of choice for harnessing the satellite data. ODC is an Open Source Geospatial Data Management and Analysis Software project that enables the use of satellite data in its broadest sense. ODC is a server-side software capable of processing and sharing immense amounts of satellite data. The project was implemented as part of the United Nation’s Open GIS initiative (UN Open GIS). With frequently updated, openly accessible satellite data and automatised processing it is possible to effectively monitor and evaluate different planetary changes. Cloud detection is inherently a part of analysing and working with optical satellite imagery such as Sentinel-2 data. In this presentation, we will discuss the data pipeline for automatising the data indexing, cloud detection, and image mosaicing process implemented with Open Data Cube (ODC). ODC is an open source server-side software capable of processing and sharing immense amounts of satellite data. The project was implemented as part of the United Nation’s Open GIS initiative (UN Open GIS) and sought to enforce the Open Source GIS bundle that the UN operations are building principally for both peace-building and peace-keeping, but also for strengthening UN’s overall capabilities to us...https://video.osgeo.org/videos/embed/1aefbce7-5ea8-4eb9-8306-ed777be424dfhttps://video.osgeo.org/w/9fLq9gu2WNBKHbEqdZChQihttps://video.osgeo.org/lazy-static/thumbnails/02acc7be-de5a-425d-ad42-52d5f7efd992.jpgFOSS4G 2021 OpenMapTiles: vector tiles from OSMOpenMapTiles is an open-source set of tools for processing OpenStreetMap data into zoomable and web-compatible vector tiles to use as high-detailed basemaps. These vector tiles are ready to use in MapLibre, Mapbox GL, Leaflet, OpenLayers, QGIS as well as in mobile applications. Dockerized OpenMapTiles tools and schema are being continuously upgraded by the community (simplification, performance, robustness). The last release of OpenMapTiles greatly enhanced cartography and map styling possibilities such as generalizing shapes of buildings blocks. New contributions are checked and validated by GitHub Actions by continuous integration and automated performance tests. OpenMapTiles is also used for generating vector tiles from government open-data secured by Swisstopo. Authors and Affiliations – Pohanka, Tomas (1) (1) MapTiler, Switzerland Track – Software Topic – Community & participatory FOSS4G Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/42d8e501-0677-4199-b6de-8a957f72b3e1https://video.osgeo.org/w/dAbxe9DCpd4D7hHSzhtBNPhttps://video.osgeo.org/lazy-static/thumbnails/3730b08c-798c-4702-b703-a00f17a2121d.jpgFOSS4G 2021 - A/B Street: using OpenStreetMap for citizen bicycling advocacyA/B Street is an open source traffic simulator built on OpenStreetMap and public census data. Users can reallocate existing road space from street parking and driving to create protected bicycle lanes and public transit-only lanes. The software is designed to be easy for the general public to explore and promote transportation changes in their city to reduce the dependency on driving. This talk will cover some case studies of A/B Street advocacy in Seattle, and describe how to use it anywhere. A/B Street (abstreet.org) is an open source traffic simulator built on OpenStreetMap and public census data. It simulates car, bicycle, foot, and public transit traffic, and runs on Mac, Windows, Linux, and directly in the web browser. A/B Street allows the user to reallocate existing road space between cars, protected cycle lanes, transit-only lanes, and street parking. Users can also modify traffic signal timing and create access-restricted neighborhoods. Individual and aggregate results from the simulation can be compared before and after the changes, creating a simple way to evaluate potential changes. A/B Street has been designed for the general public to easily explore proposals for reducing dependency on cars. This talk will cover some specific cases in Seattle where the software has been used to propose real changes, like opening a shortcut through a gated community for cycle and foot traffic to avoid dangerous roads. We'll discuss how to start using A/B Street in your area, the challenges in finding other open data-sets required, and some options for how to publish results. Authors and Affiliations – Dustin Carlino (no affiliation) Michael Kirk (no affiliation) Yuwen Li (University of Washington, Seattle, United States) Requirements for the Attendees – Feel free to try A/B Street before the talk: https://github.com/a-b-street/abstreet Track – Software Topic – Open and Reproducible Science Level – 2 - Basic. General basic knowledge is required. Language of t...https://video.osgeo.org/videos/embed/65f37255-5245-4563-bba2-74906eb8725fhttps://video.osgeo.org/w/tAmnDhyG7iy9gWGqw54ktkhttps://video.osgeo.org/lazy-static/thumbnails/45f66884-9dd4-4216-bf1e-80b518154725.jpgFOSS4G 2021 - FOSS4G software developments for Water Utilities Management in Eastern Africa ....FOSS4G software developments for Water Utilities Management in Eastern Africa by using Vector Tiles In recent 6 years, I was involved in water projects in Kenya and Rwanda by using FOSS4G software. A lot of water utilities in Africa are struggling to utilize their own GIS data because of lack of budget and skills. I was always thinking how they can easily manage their water utilities by GIS. Thus, I developed several open source software toolkits for water utilities in Rwanda and Kenya. The details implementation of softwares will be presented at the different talks - "An implementation of FOSS4G - QGIS, QField and Vector Tiles for rural water supply management in Rwanda" and "The impact of application of FOSS4G on Non Revenue Water" in FOSS4G 2021. In this talk, I will introduce my developed open source software and also talk about what I will develop in the future. My tools are documented at GIS for Water website. I mainly develop three types of software as follows. Software for Vector Tiles Management - Generating, Updating, Deploying automatically Plugins for Mapbox GL JS v1 - mapbox-gl-export, mapbox-gl-legend, mapbox-gl-elevation, etc. Parcels, Terrain RGB and EPANET for Water Management This talk is related to the following talks: "An implementation of FOSS4G - QGIS, QField and Vector Tiles for rural water supply management in Rwanda". "The impact of application of FOSS4G on Non Revenue Water Edit". My developed tools use the following FOSS4G software: PostGIS: Data store for water utilities management Mapbox vector tiles: Using it for online web GIS service United nations vector tiles toolkit: Using it for base map. EPANET:Using it for hydraulic modeling. Currently my parters are as follows: Water and Sanitation Corporation (WASAC), Rwanda Narok Water and Sewerage Services Company (NARWASSCO), Kenya Nanyuki Water and Sewerage Company (NAWASCO), Kenya Nakuru Water and Sanitation Services Company (NAWASSCO), Kenya Authors and Affiliations – Jin IGARAS...https://video.osgeo.org/videos/embed/df72965f-ebc0-447d-b650-2d63b3743155https://video.osgeo.org/w/6iTLmAioMxG67jUnn72QZqhttps://video.osgeo.org/lazy-static/thumbnails/735d675b-6afe-43f5-af84-9437cd06e9c8.jpgFOSS4G 2021 - swissgeol.ch - Open Source Geology in 3DGeological data usually suffer from very low visibility because they are specialized data that are only accessible to a few people and can only be visualized and processed using special software. The swissgeol.ch portal, newly launched by swisstopo, aims to change this by making the data accessible on the Internet in a low-threshold and simple way using 3D visualization based and promoted with open-source technology and code. swissgeol.ch is a web application for the visualization and analysis of geological data, which has been publicly available as a beta version at https://swissgeol.ch since 2020. Similar to the swisstopo map application https://map.geo.admin.ch a few years ago for geodata in general, swissgeol.ch makes geological data available for various analyses in a low-threshold way. For this, swisstopo relies on 3D visualization on the web, which is based on CesiumJS and offers numerous expert tools. CesiumJS is the most widespread open source 3D globe library and is used worldwide in many different applications. It not only visualizes large-scale global data, but also very detailed data at the local scale, such as buildings in the 3D view of map.geo.admin.ch. With the development of swissgeol.ch, an underground navigation option was developed in CesiumJS for the first time, which allows the visualization of 3D objects below the terrain. In addition to navigating underground, it is also possible to see through the earth's surface using transparency settings, as well as to slice the 3D-scene vertically. With the use of 3D tiles and a precise terrain, the data is delivered in an optimized format for the web. At the same time, the download of original data of entire layers or individual objects in the layer is offered. At the moment swissgeol.ch is in beta phase, and it might pass to a stable version before FOSS4G. Until then, new functionalities are developed continuously and further data are integrated. By means of an overview of the tools and techniques...https://video.osgeo.org/videos/embed/2afd3d11-520a-47c1-9a47-28ad5b8d69aahttps://video.osgeo.org/w/1w8pGjvTkS1r5Vf2kTEZ7chttps://video.osgeo.org/lazy-static/thumbnails/2b81cfca-900e-4d4e-a626-b84c99981ef9.jpgFOSS4G 2021 - Geospatial programming with RustRust is one of the emerging new programming languages which is well suited for geospatial applications and especially libraries. It was originally developed by Mozilla as a long-term replacement for C++. It's a modern language with excellent tooling and Stack Overflow's most loved language for four years in a row. This talk gives an introduction into Rust and an overview of the current state of geospatial libraries and applications. FOSS4G has always been a conference where geospatial develeopers meet for discussions. So in a year without the possibility of having a beer, a talk dedicated to developers could be a motivation for attending anyway. Authors and Affiliations – Pirmin Kalberer (1) (1) Sourcepole, Switzerland Track – Software Topic – Software/Project development Level – 4 - Advanced. High technical knowledge required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/0434e0f7-4928-43c8-8dcf-216658f07fabhttps://video.osgeo.org/w/uuVANY8zpVYG5SG3MPBt8zhttps://video.osgeo.org/lazy-static/thumbnails/e80a2225-2d83-4b06-a713-96927947d7a8.jpgFOSS4G 2021 - Using FOSS to teach university GIS courses online: lessons learned during a pandemicDuring the remote learning necessitated by the COVID-19 pandemic, university GIS students did not always have home access to the kinds of software and hardware that they would ordinarily get in their on-campus lab facilities. In this situation, the free and cross-platform nature of FOSS opened the door for some students to continue their GIS education uninterrupted. I describe how one university allowed students to choose FOSS such as QGIS, PostGIS, and GeoDa as alternatives to proprietary software in upper-division GIS coursework. These were used to teach techniques such as point pattern analysis, visibility analysis, hydrological modeling, proximity surfaces, LISA analysis, process modeling, open data access, and data summation. I share specific software tools, commands, and plugins used to apply these techniques in lab assignments. I discuss how these approaches can form a lasting part of the GIS curriculum beyond the pandemic, and how students can position these FOSS skills as they prepare for the GIS job market. The GIS teaching lab at Central Washington University (CWU) in Ellensburg, Washington, USA consists of thirty 64-bit Windows machines with Intel i5-6500 CPUs and 16 GB of RAM, from which Esri ArcGIS Pro software has traditionally been the primary tool of instruction. Beginning in April 2020 with only a few weeks of warning, all the university’s courses moved online in response to the global outbreak of COVID-19. Suddenly, students were attempting to complete the GIS coursework from home on Macs, 32-bit Windows, and 64-bit Windows, with widely varying amounts of memory and processing power. This presentation describes how faculty, staff, and graduate assistants worked together to produce alternative instruction materials using FOSS, thereby allowing students to continue their degree programs. Specific tools, plugins, and commands useful for teaching GIS concepts are shared. Authors and Affiliations – Sterling Quinn Assistant Professor and GIS Progra...https://video.osgeo.org/videos/embed/e6c9bd85-7046-448e-a31f-574f176fe58bhttps://video.osgeo.org/w/18HvPPYCvFRdnxMTGMsaXKhttps://video.osgeo.org/lazy-static/thumbnails/cfca9895-2629-4137-8bb4-1b0b0b0309c6.jpgFOSS4G 2021 - Analysis of potential needs of Agriculture Sector for EO analysisAgriculture comprises vital economic sectors producing food, agro-industrial feedstock, and energy and provides environmental services through managing soil, water, air, and biodiversity holistically. Agriculture including forestry also contributes to managing and reducing risks from natural disasters such as floods, droughts, landslides, and avalanches. Farming with its close contact to nature provides the socio-economic infrastructure to maintain cultural heritage. Farmers are also conservers of forests, pastures, fallow lands, and their natural resources and, in turn, of the environment. Agriculture today is a composite activity involving many actors and stakeholders in agri-food chains that produce and provide food and agricultural commodities to consumers. In addition to farmers, there are farm input suppliers, processors, transporters, and market intermediaries each playing their roles to make these chains efficient. Presentation will present analysis and the the vision of the EO4Agri project about the role of Earth observations in agriculture. The increasing economic, social, and environmental needs of agriculture pose many challenges for the upcoming years. This topic is closely related to the strategies of the United Nations and the European Union on sustainability. The United Nations adopted 17 Sustainable Development Goals in 2015 as part of the 2030 Agenda for Sustainable Development. The European Union presented in 2019 the European Green Deal - a roadmap to make the European economy sustainable. This white paper aims to stress the importance of knowledge management for agriculture to address these challenges. The role of Earth observation in this knowledge management is analysed including its current gaps and limitations. The white paper focuses on the definition of key problems, analysis data gaps, delivery platforms, analytical platforms, and final recommendations for future policies and financing. This document serves as an input for the future S...https://video.osgeo.org/videos/embed/0113ca59-fa77-4f9c-93af-ff2c62deb805https://video.osgeo.org/w/1x68auw1HPqj51EehLx1J4https://video.osgeo.org/lazy-static/thumbnails/f14173ed-8383-4b4a-82ec-826d1679ae78.jpgFOSS4G 2021 - La IDE del Conurbano Bonaerense de la Universidad Nacional de General Sarmiento.....La IDE del Conurbano Bonaerense de la Universidad Nacional de General Sarmiento. Origen, desarrollo y actualidad. En el presente trabajo se expone el camino recorrido desde la primera implementación de la Infraestructura de Datos Espaciales (IDE) del Conurbano Bonaerense de la Universidad Nacional de General Sarmiento en el año 2014 y sus diversas actualizaciones hasta la actualidad. Se repesa acerca de los principales cambios tecnológicos, su adaptación a los usuarios y a las demandas temáticas específicas tanto en el ámbito académico como gubernamental. En lo referido a los cambios tecnológicos plantea el traspaso del software privado, gestionado con licencias con costo económico para la Universidad, a la utilización de software libre y de código abierto. Sumado a ello, siempre se ha trabajado en la publicación y divulgación de la información geográfica, haciendo accesible a los usuarios su utilización en primer lugar a través de la descarga directa y en la actualidad sumando los servicios web de transferencia de información. En la actualidad, en la IDE del Conurbano, se integran proyectos de diversos investigadores del Área de las Tecnologías de la Información Geográfica, sumado a un repositorio de datos correspondientes al área de estudio principal que se define por los partidos que componen el Conurbano Bonaerense. El Laboratorio de SIG (LabSIG) desarrolla sus actividades en el marco del Área de Tecnologías de la Información Geográfica y Análisis Espacial, por lo tanto, todo lo que produce en términos académicos, se vincula a las actividades de los diferentes espacios que componen el área, como la Tecnicatura Superior en Sistemas de Información Geográfica (TECSIG). Es por ello que, en directa relación con la investigación, una de las funciones principales es transferir el producto de sus actividades cotidianas a las diferentes asignaturas que se imparten en la TECSIG. En el LabSIG nos hemos planteado la necesidad de implementar una Infraestructura de Datos...https://video.osgeo.org/videos/embed/045736df-6074-4b83-99c0-fcebf2356d5fhttps://video.osgeo.org/w/wV1oDETETfoGKqVEpLLVQGhttps://video.osgeo.org/lazy-static/thumbnails/aedb0085-7e02-4194-a0dc-7fea092e8393.jpgFOSS4G 2021 - The impact of application of FOSS4G on Non Revenue WaterNanyuki water and sewerage company (NAWASCO) is located in Nanyuki town Laikipia county Kenya.it operates as a county water service provider mandated to serve Nanyuki town and its environs. For a long time, NAWASCO’s field officers used old maps to monitor water connections. Having inherited customers from the Nanyuki Municipal council, they had to do an intense ground work to mark their territory. They walked around with the old maps following water pipelines between intake and the consumption points in order to identify the number of customers served under their jurisdiction. That was cumbersome! With advancement in technology, a decision was made to digitize the system to ease the identification burden. Journey to Digitization. To kick-off the digitization journey, QGIS a Free and Open Source Geographic Information software was used to convert old maps into computer readable documents that were used to develop the Geographic Information System. A GIS database was developed using POSTGIS where all the digitized data were stored. For analysis purposes and building a strong GIS system field data was collected using hand held GPS .These included pressure data, new connections, newly installed appurtenances and fittings. The amount of water lost between production and billing points has been one of the major challenges faced at NAWASCO. FOSS4G applications has assisted the team to have a better understanding of network and prompt leaks and bursts repairs hence reducing non- revenue water. Nanyuki water success story of Non-Revenue water reduction from 55% to 30% is largely due to adoption of GIS technology (Free and Open Source Geographic Information software. The water utility has also improved its billing efficiency through GIS. Meter readers, billing officers, repairs and maintenance team and non-revenue water team are now able to locate customers using shared vector tiles from the link. This is a presentation proposal on the impact of FOSS4G in Nanyuki water a...https://video.osgeo.org/videos/embed/fa58d1fd-275a-4f35-bc33-57e2166fb27chttps://video.osgeo.org/w/7mfgtSZy55oCS4bpA4gN49https://video.osgeo.org/lazy-static/thumbnails/5f5b4990-ce9a-4183-a3d8-998f681fd880.jpgFOSS4G 2021 - Talk to the map - AI driven geospatial mapshupNumerous public administrations, organisations and institutions have joined Open Data initiatives in recent years to promote the reuse of their information, to harmonise it between organisations at different levels or counterparts and to improve transparency towards citizens. It is in this last area that administrations must make an effort to improve the User Experience in order to facilitate the access and consultation of this data. A large volume of the data to be consulted by users has a geospatial component and is usually used in cartographic visualisations composed of several layers in order to generate a specific report. A geospatial query over a geographic region by aggregating the relevant services or layers can be a complex task for someone who is not an expert user of the data available in a Spatial Data Infrastructure. In this project we present the development of a chatbot to assist the user in the generation of maps, guiding the user through the creation process and allowing the user to generate queries using metadata that describe the services or datasets within a conversational framework. This conversational framework is established both textually and by voice, through the use of a speech to text module. The chatbot relies on the open source framework RASA to develop the NLP module and elaborate the responses to the user. This framework offers the possibility to train the assistant using a knowledge base in which user intentions are defined with example messages, together with entity recognition in text and the ability to work in a conversational framework. The system is trained with service metadata and data from various SDIs to respond to user queries about geographic regions using both vector and raster data. The API-CNIG map visualisation tool is used to generate the map. This tool allows to create a map in the browser client through information structured by parameters in URL, and to carry out a rendering of layers hosted in different servic...https://video.osgeo.org/videos/embed/336a7fe9-5b8c-4394-8210-dce4f6e3bbb6https://video.osgeo.org/w/oVYM39vTAuJK6HXX4ReVFFhttps://video.osgeo.org/lazy-static/thumbnails/f32777f9-2d40-49d6-9914-7139e00a31dd.jpgFOSS4G 2021 - A Dataset and Tools for Detection and Segmentation of Clouds in Optical Satellite...A Dataset and Tools for Detection and Segmentation of Clouds in Optical Satellite Imagery Some 70% of Earth's surface is covered by clouds at any given time, according to NASA. The existence of clouds in optical satellite imagery limits its usefulness, blocking features of interest on the ground. We have developed a machine learning-based approach for detection and segmentation of clouds, and for production of cloud-free mosaics. Our efforts include development of an open dataset consisting of Sentinel-2 imagery and labeled clouds, creation of a lightweight ML architecture for cloud segmentation, and creation of open source tools for inexpensive production of cloud-free mosaics at continent scale. Our dataset and methods are applicable to many types of optical satellite imagery, not just Sentinel-2. Since about 70% of the Earth’s surface is covered by clouds at any given time (according to NASA) existence of clouds in optical satellite imagery is a common problem. The focus of our cloud-detection and cloud-removal efforts has been threefold. First, we have created an open dataset consisting of Sentinel-2 images and labeled clouds that is suitable for training a machine learning-based cloud segmentation model. Second, we have developed a new model architecture that can be used inexpensively at scale (a lightweight architecture that can run efficiently on CPUs rather than requiring GPUs). Third, we have developed tools to apply our ML models at scale to produce continent-scale cloudless mosaics. Our lightweight architecture achieved an f1 score of greater than 0.82 on our multi-continent, multi-biome validation set, but could easily be biased in favor of either greater precision or greater recall if needed. We compared the results of our lightweight architecture to those produced by a traditional, deep architecture (a Feature Pyramid Network with a ResNet-18 backbone) and found that the latter achieved an f1 score of around 0.91 on the same validation set. Alth...https://video.osgeo.org/videos/embed/b9b275c8-8a0f-4cf8-a3d6-b40487ea96a9https://video.osgeo.org/w/aJY4jk6qohdek228m2UhEXhttps://video.osgeo.org/lazy-static/thumbnails/15426ea9-cb97-44ec-8965-ece278f4e52e.jpgFOSS4G 2021 “Don’t Lose Your Way”: How 4000 volunteers found 50,000 miles of lost historic paths in“Don’t Lose Your Way”: How 4000 volunteers found 50,000 miles of lost historic paths in England and Wales using OSGeo technology Across the UK there are a network of footpaths and bridleways on which members of the public are free to walk, accessing some of the country’s most beautiful landscapes and places of historic interest. However, thousands of miles of historic paths were missed when the UK’s definitive “rights of way” map was first created in the 1950’s. The UK Government has set a deadline of 2026 when applications for them to be reinstated will close, and they will be lost forever. In 2020, the Ramblers, a UK walking charity, embarked on a crowd source campaign to find, map and save these historic paths. Using a web application built with OS-Geo tech, around 4000 members of the public undertook a “spot the difference” comparison of every square kilometre of England and Wales, comparing the historic maps with those published today. A remarkable 50,000 miles of paths were found across the country, generating significant interest in the UK media. The project is now moving on to the next stage of building up supplementary historic evidence to support applications for their reinstatement. In this talk and interactive demonstration by the Ramblers and their geospatial partner Astun Technology, we will look at the background of the project, the technical solution, the results and what happens next. If you love the outdoors, historic maps and OSGeo technology including PostGIS and OpenLayers, and want to find out about an ancient route called the Fosse Way, then this is the talk for you! During the talk we will include a presentation of the project and also a live demonstration of how OSGeo technology was used to map our historic path network. You will discover more about the project, get to see some beautiful historic maps of England and Wales, and understand how OSGeo technology made the project a reality. Authors and Affiliations – Jack Cornish, Ramb...https://video.osgeo.org/videos/embed/4ee20861-a747-4c59-885e-b1c6f48b6203https://video.osgeo.org/w/sNYe7VPrQf392deajmC88Mhttps://video.osgeo.org/lazy-static/thumbnails/4717c35e-86fa-4572-ae57-f6bef78649d2.jpgFOSS4G 2021 - Use of open source software in GIS by water services providers.GIS in water services providers can become a big task and difficult to do it in a practical and accountable manner. Before implentation of GIS one should ask the following three main questions: 1. Why do I need to use opensource softwares? 2. Which are the softwares? 3. How are software used? We are going to answer these questions. Welcome. Use case of Nakuru Water and Sanitation Service company where data collection was done using Garmin GPS which was then replaced with GeoODK and ultimately QField. QFieldSync plugin helps in preparation and packaging QGIS projects for QField. Management of water cycle is better with the Giswater software, with different user functionalities which defines the users work since a single employee is not overseeing the whole process of water cycle in an organisation. Modelling software EPANET and EPA SWMM is easily integrated with Giswater too. GeoServer becomes a good software for development of web based applications for sharing GIS data easily. Authors and Affiliations – Geoffrey Kirui, the lead consultant at GIS For Water and Sanitation, Nairobi, Kenya. Requirements for the Attendees – Requirements are basic knowledge in QGIS, PostgreSQL and PostGIS, GISWATER and GeoServer and modelling software EPANET and EPA SWMM. PostgreSQL: https://www.postgresql.org/ Giswater: https://www.giswater.org/descarga/ QGIS: https://qgis.org/en/site/forusers/download.html GeoServer: http://geoserver.org/download/ Modelling software EPANET: https://www.epa.gov/water-research/epanet EPA SWMM: https://www.epa.gov/water-research/storm-water-management-model-swmm Track – Software Topic – Data visualization: spatial analysis, manipulation and visualization Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/d91c781d-d176-47de-a94e-26cb86adec9fhttps://video.osgeo.org/w/dphWiDN3cG8xfxsjEmLKGahttps://video.osgeo.org/lazy-static/thumbnails/4b61f781-2b38-4ee3-81f6-092362b7472a.jpgFOSS4G 2021 - Seeing the world in 3D using Open SourceIn this talk, we will present the robust functionalities of Nasa World Wind open source virtual globe that allows interactive 3D exploration by the user for continental time series environmental map products. This is an implementation part of the European Geo-harmonizer initiative, but given that it is open source, replicable anywhere in the world. Authors and Affiliations – Claudia Ifrim Terrasigna, Romania Track – Use cases & applications Topic – Data visualization: spatial analysis, manipulation and visualization Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/646e353e-75a0-437e-91cb-05afed9ab885https://video.osgeo.org/w/sNWV4BtraF4V9vTsag7ujrhttps://video.osgeo.org/lazy-static/thumbnails/5000786c-2888-4e4c-a58f-8e4561a60ef7.jpgFOSS4G 2021 - An overview of the Elastic stack geospatial capabilitiesElasticsearch is a well-known NoSQL database to store and process large amounts of data, including geospatial types like points and polygons. There is a broad ecosystem of tools to help to ingest data into Elasticsearch, including some usual geospatial suspects like GDAL. Finally, Kibana is the goto solution for visualizing and making sense of all the data stored in a cluster of Elasticsearch nodes. In this talk, we will explore two archetypical use cases: on the one hand, archiving and processing information from moving or static events and, on the other, working with large amounts of data associated with a small set of asset locations. Examples of the first scenario would be tracking vehicles or databases of urban events like crime or inspection locations, while the second could be weather data archives or IoT systems. We will see how to ingest and enrich geospatial data into your cluster with these two use cases. Then we will explore some of Elasticsearch's geospatial capabilities. Finally, we will see how Kibana applications like Maps, Lens, Canvas, or Dashboards can help you visualizing and understanding your data. Finally, we want to take the opportunity to show to the community some of the latest developments made by the Kibana Maps team, like our new alerting capabilities or the support for vector tiles in Kibana and Elasticsearch. Resources linked in the abstract: https://github.com/elastic/elasticsearch https://www.elastic.co/guide/en/elasticsearch/reference/current/geo-shape.html https://www.elastic.co/blog/how-to-ingest-geospatial-data-into-elasticsearch-with-gdal https://github.com/elastic/kibana https://www.elastic.co/guide/en/kibana/current/geo-alerting.html https://github.com/elastic/kibana/pull/75698 https://github.com/elastic/elasticsearch/issues/58696 Authors and Affiliations – Sanz, Jorge (1), Neirynck, Thomas (1) (1) elastic.co Track – Software Topic – Software status / state of the art Level – 1 - Principiants. No required specific ...https://video.osgeo.org/videos/embed/d91ba93b-cd78-438d-9b7c-354e81257a9dhttps://video.osgeo.org/w/aR8AvGSk9FrMHBLn26Xnv2https://video.osgeo.org/lazy-static/thumbnails/0275c9f3-aa55-46cb-a332-101206b48ddc.jpgFOSS4G 2021 - One Arabesque in the small world of OD webmapsArabesque allows flow mapping from a modern web browser like Mozilla or Chrome.Its development benefits from several well known open-source data-visualisation, mapping and geo-processing libraries (OpenLayers, d3, TurfJS) and build also upon well known open data-sets (OpenStreetMap, NaturalEarthData). A demonstration of Arabesque will be offered during the conference. The analysis of its functionalities will be compared with those of similar web applications— Magrit, Kepler.gl, flowmap.blue, Tableau, Carto.db and Flourish —which will be compared on the same flow dataset, for a practical and empirical "validation" of its contributions. Authors and Affiliations – Nicolas Roelandt GIS engineer, FOSS4G advocate, OSGeoLive PSC and OSGeo-fr member Track – Academic Topic – Academic Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/4fbe5f8f-21e6-4668-b5aa-23dfab225a4fhttps://video.osgeo.org/w/aNyvhzJzjeJohHbQRKdRMMhttps://video.osgeo.org/lazy-static/thumbnails/d73a63e2-573d-445c-8976-20d4f452ebcb.jpgFOSS4G 2021 - Open Source and Open Data: the building blocks for a Geo-harmonized understanding of..Open Source and Open Data: the building blocks for a Geo-harmonized understanding of our environment In this talk, we will present a 2fold 3years initiative that builds on open source and open data. It is a story of harmonization and accessibility, all supported by free and open source for geospatial - foss4g. It is the story of the Geo-harmonizer. Geo-harmonizer stands for EU-wide automated mapping system for harmonization of Open Data based on FOSS4G and Machine Learning and it is unfolding in 2 ways. On one hand, significant efforts have been invested into obtaining new added value time series map products based on open sources for remote sensing data, such as Landsat, Sentinel, MODIS etc. , machine learning frameworks on cloud infrastructure and using High Performance Computing. On the other hand, efforts have been dedicated to the development of web-base, scalable and modular system fit to provide hosting and accessibility to various time series thematic geospatial map products. This system translates into an intuitive and very responsive data portal using open source software, such as Geoserver and GeoNetwork. This is a European story, yet our approach is replicable everywhere in the world, towards a complete, harmonised and cross-boundaries understating of our environment through open data and open source - a Geo-harmonised approach. https://maps.opendatascience.eu/ https://gitlab.com/geoharmonizer_inea/eumap This talk gives an overview on all activities developed during the first 2 years of the Geo-harmonizer initiative, with an emphasis on the foss4g usage and development, as well as the open data used to obtain harmonised cross-boundaries geospatial datasets. Authors and Affiliations – Landa, Martin (1), Brodsky, Lukas (1) (1) Czech Technical University in Prague, Czech Republic Hengl, Tomislav (2), Parente, Leandro (2) (2) OpenGeoHub, The Netherlands Ilie, Codrina (3), Craciunescu, Vasile (3) (3) Terrasigna, Romania Neteler, Markus (4), Metz, Marku...https://video.osgeo.org/videos/embed/4f627e44-9913-4db3-84a6-62321477d373https://video.osgeo.org/w/ueD3etxXomszZJXCAyUR63https://video.osgeo.org/lazy-static/thumbnails/167c671c-093e-4fd7-a289-ab9becf87c43.jpgFOSS4G 2021 - Metodología participativa para la delimitación, registro y regularización de ....Metodología participativa para la delimitación, registro y regularización de tierras indígenas en Paraguay El proyecto consiste en la delimitación de territorios indígenas con la finalidad de que los títulos de propiedad de éstos queden registrados en la base cartográfica digital del Servicio Nacional de Catastro (SNC), éste documento servirá para que las comunidades puedan reivindicar sus derechos sobre sus propiedades, es decir, se busca documentar de forma oficial la existencia de invasiones por parte de privados en suelo indígena para un posterior reclamo por las vías correspondientes. Fue realizado en seis comunidades indígenas, pertenecientes al pueblo Mbya guaraní e Yshir, en el Departamento de Itapúa y Alto Paraguay, respectivamente. Se trabajó de manera participativa con las comunidades de Pastoreo , Ko’eju y Pykasu´i, Puerto Esperanza, Karcha Balhut (14 de Mayo) y Puerto Diana. En total se delimitaron y documentaron 35.828 hectáreas, donde viven aproximadamente 1.374 familias, las cuales tendrán una herramienta legal para regularizar la ocupación de sus tierras. De forma previa, se realizó una reunión con la Organización de las Naciones Unidas (ONU) y con la Federación por la Autodeterminación de los Pueblos Indígenas (FAPI), donde éstos explican la problemática y entregan los títulos de las propiedades indígenas; los títulos fueron digitalizados, junto con la propiedades aledañas a las comunidades registradas en el SNC; luego, se presentó el plan de trabajo a las comunidades en busca del visto bueno y acompañamiento de sus miembros para ingresar a medir in situ su territorio y determinar la geolocalización de los polígonos de los títulos a partir de límites físicos históricos de las comunidades Indígenas; posteriormente, se presentaron a las comunidades los resultados donde pudieron visualizar los límites reales de sus territorios, con la ubicación y contabilización de hectáreas que presentan conflicto por invasión de privados; se establecieron puntos...https://video.osgeo.org/videos/embed/e4a76094-b6c3-4f42-8ae9-f8d86ef520e8https://video.osgeo.org/w/6qa2uDy6wHFNF6vXmMeQDxhttps://video.osgeo.org/lazy-static/thumbnails/2c021e94-816a-4c68-bfd8-648aeb65274b.jpgFOSS4G 2021 - The importance of geodata during the Covid pandemic for public health decision making.The importance of geodata during the Covid pandemic for public health decision making. The experience of the Information Management and Health Statistics Office of the City of Buenos Aires. The talk reviews the experience in design and implementation of the project to aid public health decision making using geographical data of patients with Covid-19, developed by the Information Management and Health Statistics Office of the City of Buenos Aires. Buenos Aires, a very heterogeneous city in terms of population density and social stratification, with a corresponding geographic correlation, presented unique challenges to this effort. Aspects related to the specificity of the difficulties of georeferencing people in general and in the 2020 healthcare context, the technical problems encountered in the process and their resolution, as well as the role of free and open source software tools that allowed the success of the project will be reviewed. At the beginning of 2020, the City of Buenos Aires, like most of the world's megacities, was faced with the unprecedented situation generated by the spread of covid-19. In this context emerged the need to generate and manage a large volume of geodata to direct public policy actions. A team part of the Information Management and Health Statistics Office of the City of Buenos Aires faced the task of georeferencing a very high volume of patients with Covid-19 living in the city in order to properly manage the health context and facilitate decision-making with an immediate territorial impact. This objective set the course for the general georeference project, which had different informational inputs pre-established and under development that were articulated by analysts of the Office using different tools such as free and open source R language-based libraries. The success of the project, which was able to provide information on the distribution of georeferenced cases in a timely manner, made it possible to make 3 levels of deci...https://video.osgeo.org/videos/embed/2bdd1b29-66ec-4e68-9216-92bf27ba32d9https://video.osgeo.org/w/fa5xsFDvdomZB9tQAUTtoahttps://video.osgeo.org/lazy-static/thumbnails/f29801e6-4801-435b-963c-817aaae6cc10.jpgFOSS4G 2021 - Streaming IoT sensor data with LocationTech GeoMesa, Apache Kafka, and NiFiAs IoT-based use cases increase, so has the need to create real-time geospatial views of the data generated. In this talk, we will describe how LocationTech GeoMesa integrates with Apache Kafka and Apache NiFi to enable spatial data streaming and data management. The first part of the talk will dive into the details of indexing observation data for entities moving through space and time. Examples will show how GeoServer can be polled to show a live picture of multiple moving entities. The second part of the talk will focus on using NiFi to route data through an enterprise. Apache NiFi provides a visual programming interface to create, represent, and monitor data flows. The GeoMesa-NiFi project provides Processors which allow for handling spatial data with GeoMesa and GeoTools DataStores. Authors and Affiliations – Jim Hughes, CCRi Track – Software Topic – New trends: IoT, Indoor mapping, drones - UAV (unmanned aerial vehicle), Artificial intelligence - machine learning, deep learning-, geospatial data structures, real time raster analysis Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/72a46f3d-84fe-45fb-a909-a52bd5b2a5c9https://video.osgeo.org/w/mbPg5nF2qrGoyxhdnm8vFzhttps://video.osgeo.org/lazy-static/thumbnails/ee882adc-bba6-4535-bcdd-af4cd107d3cf.jpgFOSS4G 2021 - Al Accelerated Human-in-the-Loop Land Use and Land Cover MappingPEARL, the Planetary Computer Land Cover Mapping Platform, allows users to quickly create accurate land cover maps by incorporating machine learning into a web-browser based mapping workflow. Here, mapping is an iterative process where users can 1.) run inference over new imagery with a deep learning model and 2.) refine the model’s output and add new classes with a retraining function. This is enabled by a system composed of: a web based front-end, a “Dynamic Map Tile Service”, and GPU workers on a Kubernetes cluster that communicate through REST APIs and websockets. The front-end exposes users to a browsable map interface that displays imagery and model predictions in two layers. It also exposes a UI for running model inference, providing new training samples to the model, defining new classes to add to the model, retraining the model, and saving/loading model checkpoints. The “Dynamic Map Tile Service” uses Titiler to serve the basemap and data tiles (that, importantly, need not be constrained to RGB images) in a format that can be consumed by the front-end and GPU workers. The backend infrastructure provides persistent sessions to each user though a REST API and websocket connection. Each front-end session will directly connect to a GPU server on a Kubernetes cluster, where their associated model is loaded in memory. The Kubernetes cluster enables multiple users to perform large scale inference with a trained model. Currently, the tool contains two starter models trained with nine and four land-cover classes based on labeled data from the Chesapeake Conservancy’s dataset and imagery from the National Agricultural Imaging Program (NAIP). Both of these starter models have a global F1 score of approximately 80%. Retraining is done by updating the parameters of the last layer of the model using point labels provided by the users within a session. Through this functionality, users will be able to improve the performance of the model for a local area and even defin...https://video.osgeo.org/videos/embed/a37955fa-f991-466b-914f-698f58db2283https://video.osgeo.org/w/vYuYdJU9ViUTgKsHaw9EbUhttps://video.osgeo.org/lazy-static/thumbnails/ec10a689-29b6-442e-b52f-2828d6bc7790.jpgFOSS4G 2021 - Embracing FOSS for vector tile pipelines in 2021 - 2 case studiesEnd of last year we at EOX decided to go all-in on open source vector tiles (MVT). We had two use-cases: An interactive Vue/Django web app visualizing millions of agricultural fields along with dynamic properties Rendering vector and raster tiles from the same data source using the same style document and in multiple projections (web mercator and geodetic) Along the way, we found a consolidated FOSS ecosystem that had lost many contributors to proprietary lands. However, we also encountered some real FOSS gems (pg_tileserv, django-vectortiles) and a legacy tool (tileserver-gl) that we hacked into rendering non-web-mercator raster tiles from MVT. This talk aims to be a reference for companies, organizations and individuals, who are looking into adopting FOSS for vector tiles. Participants can expect to learn about FOSS projects off the beaten paths of proprietary services. For both case studies, I will first introduce our requirements and then give an overview of the options that we evaluated. Finally I will explain our solutions for each use-case. These FOSS vector tiles projects will be mentioned in the talk: - dirt - django-vectortiles - GeoServer - martin - pg_tileserv - Postile - tegola - tileserver-gl - VueLayers Authors and Affiliations – Brand, Stefan (1) (1) EOX IT Services GmbH, Vienna, Austria Track – Software Topic – Software status / state of the art Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/f2bc8675-53d5-4c07-b701-8a0ad98e8fd0https://video.osgeo.org/w/3LJuMTBYoRtdHAdaB9wT5Yhttps://video.osgeo.org/lazy-static/thumbnails/be4af222-d7e5-4b3d-90c2-b0c7588bdf66.jpgFOSS4G 2021 - Solidarity in Development: Participatory collaboration and open source development inSolidarity in Development: Participatory collaboration and open source development in the Amazon All open source software has a development story. This session teaches participatory development, which teams can use to improve the quality and immediate impact of open source software. We will cover how to get started with participatory development, how this approach differs from typical open source software development, and we will discuss an example of how our team uses it in practice. Using a story based approach, we will share how our process endeavors to infuse principles of allyship and human-centered design as we co-develop GIS tools with communities on the frontlines of ecological and climate crises, to assert their environmental rights. This session features a chapter in the Mapeo development story when Mapeo Mobile v2 finally is put in the hands of the land defenders who inspired some of its unique features: offline first functionality, peer-to-peer GIS data distribution, customizability, and ease of use for new users of digital technology. Digital Democracy has been breaking down the barriers between software development and the people most in need of innovative technologies by investing in programmatic technical accompaniment and bringing our developers to the remote regions where accessible GIS tools are needed most. Join Jen Castro and Karissa McKelvey as they share the technical story of customizing Mapeo for a community monitoring project in Northern Peru and how we managed real-time collaboration on development in a small town with very limited internet access. Authors and Affiliations – Digital Democracy Track – Software Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/1671314a-1bfd-4634-adfb-f1d1c7f7279chttps://video.osgeo.org/w/hkQUN5NqLoRRchbPKTGvrThttps://video.osgeo.org/lazy-static/thumbnails/7c2f0795-224a-4898-bb42-60192595f01a.jpgFOSS4G 2021 - Giswater : open source management tool for water networksGiswater is an open-source application for management and exploitation of hydraulic infrastructure elements in both water supply and urbain drainage. It uses database and graphic representation in any kind of geographic information system (GIS). Starting in 2015 with a Java driver able to connect to EPANET, EPA SWMM andHEC-RAS, the application has gradually evolved towards SQL and advanced functionalities in QGIS. Giswater is also a hydraulic simulation tool and, more broadly, a complete business tool. It is also a support for the sharing of workloads, through a user association and an ecosystem of technical contributors who can help the project to evolve. The community animation is done in particular through seminars. The presentation will include a few demonstrations of the functionalities of Giswater Giswater is an open-source application for management and exploitation of hydraulic infrastructure elements in both water supply and urbain drainage. It uses database and graphic representation in any kind of geographic information system (GIS). Starting in 2015 with a Java driver able to connect to EPANET, EPA SWMM andHEC-RAS, the application has gradually evolved towards SQL and advanced functionalities in QGIS. Giswater is also a hydraulic simulation tool and, more broadly, a complete business tool. It is also a support for the sharing of workloads, through a user association and an ecosystem of technical contributors who can help the project to evolve. The community animation is done in particular through seminars. The presentation will include a few demonstrations of the functionalities of Giswater Authors and Affiliations – Xavier Torret - BGEO Bertrand Parpoil - Oslandia Track – Use cases & applications Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledg...https://video.osgeo.org/videos/embed/84577e00-fe9b-4c12-ac04-35e91ac0fe01https://video.osgeo.org/w/7hgrh5Jw65qfRwnKvSkLCqhttps://video.osgeo.org/lazy-static/thumbnails/13c18f55-4d54-4ed1-80ae-6cfc25a791bb.jpgFOSS4G 2021 - G3W-SUITE: in OS framework for publishing and managing QGIS projects on the WebG3W-SUITE is a modular, client-server application (based on QGIS-Server) for managing and publishing interactive QGIS cartographic projects. The suite is made up of two main components: G3W-ADMIN (based on Python and Django) as the web administration interface and G3W-CLIENT (based on Javascript and OpenLayer3, using Vue.Js) as the cartographic client. This components communicate through a series of API REST which makes them totally interchangeable. The application is compatible with QGIS 3.16 LTR and it is based on strong integration with the QGIS API. G3W-SUITE integrates the QGIS Python API totally, the suite itself works as a WMS, WFS, WCS server. The QGIS APIs are used to access vector data both in reading and in writing (editing module), they are also used to filter the data using the QGIS expression system or through direct queries on the provider (for example for PostgreSQL data provider ) in a different way for different users or groups of users. Graphic-functional aspects, OGC services exposed, specific functions and access/management policies can be defined on the QGIS project and on the administration component. QGIS PROJECT SETTINGS Many graphic/functional aspects of the WebGis publication derive directly from QGIS projects as, first of all, the general and OGC services capabilities. The suite also allows you to automatically inherit aspects related to the project (1: N relations, simple and atlas print layout, filter on legend based on map content, layer display order and activation status ...) and related to individual layers (activation scale, interrogability, published attribute fields, join attributes, attribute form, editing widgets ...) ADMINISTRATION QGIS projects can be published as WebGis services via direct upload (no plugins needed) on the G3W-ADMIN. The granular system of permissions and the subdivision into roles of users (individuals or groups) allows the management of services to be delegated to second and third level administrative u...https://video.osgeo.org/videos/embed/32dc3eb4-50f3-475f-9dc7-933bd951f4e8https://video.osgeo.org/w/x3wbeELqas6qEDWTX5NDe9https://video.osgeo.org/lazy-static/thumbnails/aee447f8-7181-4d08-898a-c6b1cff21a2f.jpgFOSS4G 2021 - The state of Vector tile serversMapbox Vector Tiles are in heavy use since about 5 years now and still one new tile server implementation gets announced every year at least. This talk shows an up-to-date overview of the available technologies and their use. Mapbox Vector Tiles are in heavy use since about 5 years now and still one new tile server implementation gets announced every year at least. This talk shows an up-to-date overview of the available technologies and their use. Authors and Affiliations – Pirmin Kalberer (1) (1) Sourcepole AG, Switzerland Track – Software Topic – Software status / state of the art Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/fb656206-ac71-4502-9043-3196d3b474behttps://video.osgeo.org/w/newpVrU2aWLfVwo45kv7Nmhttps://video.osgeo.org/lazy-static/thumbnails/2a23852c-5fa7-4e31-b304-9a805a308488.jpgFOSS4G 2021 - Social innovations in Geo-ICT education at Tanzanian Universities for improved....Social innovations in Geo-ICT education at Tanzanian Universities for improved employability (GeoICT4e) Geospatial-ICT technologies are making an impact leap due to globally accessible digital solutions. We are witnessing a massive growth of innovations built on open geospatial data through affordable mobile technologies, and these are tackling major challenges, such as rapid urbanization, degradation of marine and land environments, and humanitarian crises. The number of experts needed is growing, but also the required skills, capabilities and attitudes are changing. Universities need to think that although the future jobs rely on graduates' solid digital data and technology skills, students need to have good conceptual and practical understanding of societal problems. New generation university graduates need to be competent with the novel technologies, but equally they need to master the interface between technologies’ potential and societies’ emerging needs, working in a multi-stakeholder environment creating innovative and impact-based solutions. Rapidly developing countries have a vast amount of environmental and social problems, especially when looking at them through the lenses of sustainable development. These real world needs are contextual and dynamic in space and time and thus students need to become competent in linking plausible solutions to good practices of sustainability. Furthermore, HEIs must take a proactive and participatory approach to build future education solutions together with these problem-owners. This is a crucial and crosscutting element of successful transformation of HEIs education towards faster and agile ‘service learning’ solutions with real impacts in the society. Authors and Affiliations – Niina Käyhkö (1), Department of Geography and Geology, University of Turku (UTU), Finland Mercy Mbise (2), College of ICT, University of Dar es Salaam (UDSM), Tanzania Zakaria Ngereja (3), Department of Geospatial Sciences and Technology, ...https://video.osgeo.org/videos/embed/abf352bd-561e-42f7-be1d-edea880ab050https://video.osgeo.org/w/3rPtievM7xg7mJnqS4L4BLhttps://video.osgeo.org/lazy-static/thumbnails/6154bd87-1b48-44ed-a8f4-e48fa75b52ed.jpgFOSS4G 2021 - METEO Romania INSPIRE(D) ImplementationFull compliance with the INSPIRE Directive across member states is one of the important objectives of the European Union. From a meteorological point of view, access to standardized data across national borders would be a major accomplishment significantly simplifying use of such data in various domains (agriculture, transportation etc). The need for standardised data is even more stringent considering the large quantity of data collected by the Romanian National Meteorological Administration: 10 meteorological data sets, 31 meteorological parameters, more than 230 weather stations, and over 500000 daily records starting from 1960, some of them being updated every 6 hours. In order to efficiently store and distribute all this data while respecting the various European and global standards specific to the meteorological domain (INSPIRE, GRIB, BUFR), a full stack of open-source technologies and applications was used (PostgreSQL, PostGIS, Hale Studio, GeoServer, GeoNetwork, MapStore, GeoHealthCheck etc). For a fully conforming INSPIRE implementation, the standardized Open Geospatial Consortium (OGS) INSPIRE services (OGS CSW discovery services, OGS WMS view services, OGS WFS download services) were used and fine-tuned to provide all necessary metadata and interlinking, in accordance with existing regulations, technical requirements and nascent best practices. To complement these standard mapping services, a series of auxiliary tools were implemented, such as a web mapping client, a service for monitoring the INSPIRE services and a dedicated instance of the EU-wide INSPIRE validation framework. The presentation describes how to store and distribute meteorological data while respecting the various European and global standards specific to the meteorological domain (INSPIRE, GRIB, BUFR), using a full stack of open-source technologies and applications was used (PostgreSQL, PostGIS, Hale Studio, GeoServer, GeoNetwork, MapStore, GeoHealthCheck etc). The end result is an ...https://video.osgeo.org/videos/embed/13cd205b-2e84-4ded-9833-701e2395d356https://video.osgeo.org/w/qJTX2UJqjXUnjCuH8qWnAehttps://video.osgeo.org/lazy-static/thumbnails/aaeb768d-3cb4-4007-a89b-c0d3a4534fe3.jpgFOSS4G 2021 - CicloMapa: a web platform to democratize access to bike maps with OpenStreetMapIn Brazil, we face a big challenge of not having the cycling infrastructure data openly available for our cities. We've developed the first cycling maps platform containing all Brazilian cities, leveraging the data and collaborativeness of OpenStreetMap (OSM). It's an open-source web application, free and accessible from computer or smartphone, aimed at both the average citizen who wants to know more about their city and researchers and policymakers that now have easy access to standardized data. Today in Brazil we face a big challenge of not having data on the cycling infrastructure available in our cities. This makes it very hard to paint a clear picture of our reality and calculate the relevant metrics to measure the opportunities and impacts to society of improving urban mobility. The most common problems with current solutions are not standardized data and typologies, data not being available publicly, or sometimes data not existing at all. UCB (Brazil Cyclists Union) and ITDP (Institute for Transport and Development Policy) are two influential civil society organizations that have joined forces to solve once and for all these problems. We've developed the first cycling maps platform encompassing all Brazilian cities, leveraging the open data and collaborativeness of OpenStreetMap (OSM). We've created an open-source web application, free and accessible from any computer or smartphone, aimed at both the average citizen, who wants to know more about their city, and researchers, who now have easy access to this data without needing OSM knowledge. On the newly released version of the website we even took a step further from just making the data available and launched a new Metrics section. Following a "show don't tell" logic, we are giving examples of what you can do when you have this data in your hands. For the time ever it's now possible to check in real time the total length of cycling infrastructure in all Brazilian cities. Knowing, however, how limited ...https://video.osgeo.org/videos/embed/c85894ae-c85f-4174-869a-4d8eae49d345https://video.osgeo.org/w/s4cP9Gs2vpay13MBchziSthttps://video.osgeo.org/lazy-static/thumbnails/51353c4b-b447-4639-b5ed-dcfc01f9a01e.jpgFOSS4G 2021 - Spatial analysis of cultural activities in Buenos AiresBuenos Aires is one of the world capitals of culture. There are over 600 bookshops, 350 theaters, and more than 100 Art Galleries. But how is this cultural infraestructure located and distributed around the city? Is there an unequal access to culture? In this talk, I'm going to present a methodology and a tools (from QGIS to OSRM - Open Source Route Machine) to analyze cultural accesibility and how spatial analysis help us to improve the planning. Authors and Affiliations – Martín Fernando Ortiz, Data Cultura Track – Use cases & applications Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/d3001dcf-72a9-45d7-84f4-39a7a20d761bhttps://video.osgeo.org/w/t48BHEAkGgiikwMVsbExKyhttps://video.osgeo.org/lazy-static/thumbnails/5c85baee-a8ef-46a1-9b69-ad53b8ca269d.jpgFOSS4G 2021 Geographic Information Systems (GIS) Integrated with Virtual Reality: examples from ..Geographic Information Systems (GIS) Integrated with Virtual Reality: examples from Polar Knowledge Canada's (POLAR) Canadian High Arctic Research Station (CHARS) Geographic Information Systems (GIS) offer proven mechanisms to present data from science/research, business, and innovation fields, in forms that users can understand and wield for decision making.? GIS translates raw numbers into images, scenes, charts and graphs that bring immediate understanding to users. However, viewers of these data are outside observers, separate and detached from these data. This presentation showcases how users can be immersed in data, as participants in the data, using Virtual Reality. We are using Polar Knowledge Canada's (POLAR) Canadian High Arctic Research Station (CHARS) Campus in Cambridge Bay Nunavut Canada as the stage for applying virtual Reality (VR) to science, health and safety, geomatics, and programs development. This presentation will address four key elements required to deploy your own solution; 1) Real world applications of VR enhancing Geoinformatics data; 2) VR FOSHardware; VR hardware solutions, and commercial hardware options; 3) FOSS applications for VR: Blender and BlenderXR, BlenderGIS, BlenderMultiUser, OpenDroneMap, CloudCompare, Dust3D, and Meshlab; 4) Bringing Geoinformatics data into VR environments / Bridging the data worlds of Geoinformatics and VR: Interoperability data formats; Basic workflows; and Managing incompatible high-offset Coordinate Systems. In addition, we present three examples of applications; a) Remote site familiarization with a focus on field safety; b) Evaluating Candidate Site Development Plans; and c) Understanding Hydrography, Watersheds, and environmental pollutant migration. Moving on, we extend the scope with a review of the free resource repositories: models, environments, materials, DEMs (ArcticDEM in particular) and draped Imagery. Lastly, we engage in a discussion about the future of VR in Geoinformatics. Overa...https://video.osgeo.org/videos/embed/db16ab26-5d23-4709-966f-a38c149703cahttps://video.osgeo.org/w/3FCb3bs12g7ZDQjh7q9HDphttps://video.osgeo.org/lazy-static/thumbnails/5e0555a9-ed87-4153-9341-6767d41d8c00.jpgFOSS4G 2021 - Orfeo ToolBox teams with TensorFlow to remove clouds in optical remote sensing imagesBuilt on the shoulders of the Orfeo ToolBox and TensorFlow, our software uses deep learning to remove clouds in optical images, using joint SAR/Optical Sentinel images. It is open-source, and comes with pre-trained models. Clouds represent the main issue affecting optical satellite images. Cloud-free scenes available at specific date is crucial in a wide range of monitoring applications. Differently, Synthetic Aperture Radar (SAR) sensors provide orthogonal information with respect to optical satellite, that enable the retrieval of information lost in optical images due to cloud cover. In the context of an increasing availability of both optical and SAR images, thank to the Sentinel constellation, a number of deep learning method have emerged in recent papers. These methods aim to reconstruct optical data polluted by cloud phenomena, exploiting SAR and optical images. We present an open-source software based on the Orfeo ToolBox and TensorFlow, that provide a framework to apply methods processing Sentinel-1 and Sentinel-2 images. Our software comes with a few pre-trained models that can be used out-of-the-box to remove clouds in Sentinel-2 images from Sentinel-1 and Sentinel-2 time series. Authors and Affiliations – Rémi Cresson (1) Benjamin Commandré (1) Nicolas Narçon (1) Raffaele Gaetano (2) Aurore DUPUIS (3) Yannick TANGUY (3) Stéphane MAY (3) Xavier RAVE (3) 1: INRAE (French national research institute for agriculture, food and the environment 2: CIRAD (French agricultural research centre for international development) 3: CNES (French national space agency) Track – Education & research Topic – New trends: IoT, Indoor mapping, drones - UAV (unmanned aerial vehicle), Artificial intelligence - machine learning, deep learning-, geospatial data structures, real time raster analysis Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/15ba93a8-9a2c-4f01-81cd-ed75fe60a6bdhttps://video.osgeo.org/w/w8KhLJfMnf4842hDvRGVVGhttps://video.osgeo.org/lazy-static/thumbnails/9b6de093-117e-4d85-bfd4-1caf9f56b953.jpgFOSS4G 2021 Where are all the Data Tiles?: An Under-Appreciated Format for the Big Data RevolutionAs big data and interactive visualizations gain popularity, there is an increasing need to quickly manipulate and represent massive datasets within the browser. The scale of these datasets challenges existing solutions requiring complex and unsatisfactory work-arounds to deliver a smooth user-experience. Data tiles are images that contain data encoded in their pixels. Tiled using the standard web tile schema, they can provide instant access to numerous spatial data layers at a practically unlimited scale. Web-based "slippy" maps already take advantage of tiled imagery, and we routinely load and navigate “datasets” composed of trillions of data points (pixels) in our browsers. By simply modifying the images to contain raw data instead of visual imagery, data tiles let us browse and use data effortlessly at any scale. Our “GeoPngDB” format builds on existing solutions to provide a browser-friendly way of encoding raw data for consumption by web-based tools. This talk will discuss the potential of tiled raster formats to provide visualization tools with raw data at unlimited scale. We will focus on a browser-friendly solution we have discovered, cover how the format works and share tools for creating tiles. Don’t we have enough geospatial data formats already? We thought so too, but when it came to finding a solution to provide instant access to census data such as population distribution and employment for every block in the US, we couldn’t find an existing format that worked for us. We needed something we could host cheaply and load instantly; that could scale indefinitely while maintaining pixel-perfect data fidelity. Nothing we could find checked all the boxes. Vector data was not the right fit because we had to choose between visual fidelity and performance: loading block-level data at a national scale would require downloading gigabytes of data and overwhelming the browser. Existing raster solutions, like COGs require a backend server to deliver data (base...https://video.osgeo.org/videos/embed/f4070b48-ea8b-4e3b-b656-33d122f0804ehttps://video.osgeo.org/w/fbzjzNRncv6JdZiPeDkwT8https://video.osgeo.org/lazy-static/thumbnails/b48d7ab9-7b24-49d5-b01f-483cb8906bac.jpgFOSS4G 2021 The people's forests: Community based forest mapping in Darién, PanamaMany indigenous and non-indigenous communities have used mapping as a tool to protect their forests and territories. We share lessons learned using mobile and desktop based tools in a tropical setting in eastern Panamá, on the Darién forests near the border with Colombia. As part of our UNDP/SGP-funded project "Cartografía de los bosques del pueblo" (cartography of the people's forests) we supported local organizations in Darién, Panamá to map forests that were part of their community reserves. Our goal was to train local technical groups in mapping, where most communities had very limited experience with computers. We used various FOSS applications, including Geopaparazzi (for mobile mapping), Mapeo Desktop (community mapping), Magrit (training), IIAB (local offline servers) and QGIS. We share what worked, what didn't and why and discuss our methodology for community based mapping. Authors and Affiliations – Mir Rodríguez Lombardo, Fundación Almanaque Azul, Panamá Track – Use cases & applications Topic – Indigenous Mapping / Pueblos Originarios Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/72d9e9d2-2309-4383-9a00-693ea85dec75https://video.osgeo.org/w/sYMEDubVmi5JUYMVgURDgUhttps://video.osgeo.org/lazy-static/thumbnails/acbc181d-3624-4152-95e7-a77d3a10953f.jpgFOSS4G 2021 - FOSS4G software developments for Water Utilities Management in Eastern Africa by usingFOSS4G software developments for Water Utilities Management in Eastern Africa by using Vector Tiles In recent 6 years, I was involved in water projects in Kenya and Rwanda by using FOSS4G software. A lot of water utilities in Africa are struggling to utilize their own GIS data because of lack of budget and skills. I was always thinking how they can easily manage their water utilities by GIS. Thus, I developed several open source software toolkits for water utilities in Rwanda and Kenya. The details implementation of softwares will be presented at the different talks - "An implementation of FOSS4G - QGIS, QField and Vector Tiles for rural water supply management in Rwanda" and "The impact of application of FOSS4G on Non Revenue Water" in FOSS4G 2021. In this talk, I will introduce my developed open source software and also talk about what I will develop in the future. My tools are documented at GIS for Water website. I mainly develop three types of software as follows. Software for Vector Tiles Management - Generating, Updating, Deploying automatically Plugins for Mapbox GL JS v1 - mapbox-gl-export, mapbox-gl-legend, mapbox-gl-elevation, etc. Parcels, Terrain RGB and EPANET for Water Management This talk is related to the following talks: "An implementation of FOSS4G - QGIS, QField and Vector Tiles for rural water supply management in Rwanda". "The impact of application of FOSS4G on Non Revenue Water Edit". My developed tools use the following FOSS4G software: PostGIS: Data store for water utilities management Mapbox vector tiles: Using it for online web GIS service United nations vector tiles toolkit: Using it for base map. EPANET:Using it for hydraulic modeling. Currently my parters are as follows: Water and Sanitation Corporation (WASAC), Rwanda Narok Water and Sewerage Services Company (NARWASSCO), Kenya Nanyuki Water and Sewerage Company (NAWASCO), Kenya Nakuru Water and Sanitation Services Company (NAWASSCO), Kenya Authors and Affiliations – Jin IGARAS...https://video.osgeo.org/videos/embed/da7b662e-7a45-4695-a955-6efc4dab52d6https://video.osgeo.org/w/auahfvxKfqjZr8KzBegbrxhttps://video.osgeo.org/lazy-static/thumbnails/81ae5245-9968-41e3-8bf5-7323341c32ce.jpgFOSS4G 2021 - “Let’s put it on the map!” How to design a cuddly, eye-blinking digestible and ...“Let’s put it on the map!” How to design a cuddly, eye-blinking digestible and accessible geo-data visualization? Too cluttered visualizations, confusing jargon, scary technology and communicating with the geo-data illiterate.. For many people, GIS technology is hard to understand. So how do we design and build a map application showing a huge amount of geo-data accompanied by the elaborate functionality to discovered it? Adding more and more buttons, layers, panels, pop-ups, legends, draw tools, scale-bars and GIS terms makes an application confusing, scary and technically hard to understand for the crowd.. These days we have an incredible amount of (open-source) geo-spatial data, remote sensing data and insights, plus the tools to share them with the world! But how do we communicate with an audience that does not understand our jargon like: “CSV” or “polygon”. Let alone know that the term “heat map”, means something completely different then what a cartographer means. I often find myself confused and tangled up in conversations where, as a GIS and cartographic professional, you speak a different language then your clients. Also working together with other web-developers and data-designers, shows me how we have to educate and direct them into our GIS world. Join the discussion about how to make user friendly, eye-blinking digestible, (non-technological scary), geo-data visualization for the web! I will show you some examples and share my opinion to get you started on thinking about what it means to share our geo-spatial insights with the world. We will follow different perspectives of the geo-data illiterate and get inspired by data visualization techniques, web design and interaction design. Authors and Affiliations – Niene Boeijen Track – Use cases & applications Topic – Data visualization: spatial analysis, manipulation and visualization Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/4cd0cae8-8f4c-4a5b-8c01-946070ac06f9https://video.osgeo.org/w/4ffHkacp6wkakWDenvTZduhttps://video.osgeo.org/lazy-static/thumbnails/19e16913-e5e6-4d2a-bf90-c8e9ed58a9e6.jpgFOSS4G 2021 - QGIS Bridge Status ReportBridge is a plugin for QGIS, enabling you to publish (meta)data to the OSGeo server stack (GeoServer, GeoNetwork, Mapserver, PostGIS). We'll report about our plans and the adoption of Bridge and its internal modules by other projects. Bridge for QGIS was first released in Bucharest and downloaded more than 4000 times since then. It is a Python plugin to publish maps from QGIS to GeoServer, MapServer, or GeoNetwork. The underlying module style2style, which generates SLD and Mapbox Style from QGIS style, has been adopted by a number of other projects. In this presentation we'll share some experiences while working on these topics. We'll look ahead on what's coming and would love to hear about your challenges concerning style, data and metadata conversions between products. Authors and Affiliations – Sander Schaminee, GeoCat BV, Netherlands Paul van Genuchten, ISRIC.org, Netherlands Track – Software Topic – Data collection, data sharing, data science, open data, big data, data exploitation platforms Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/1a48e54d-b1ba-49da-b7d6-df8086985c80https://video.osgeo.org/w/ouymDcoUAZduEysUDaXGQ7https://video.osgeo.org/lazy-static/thumbnails/f6eeb563-cc04-4b4d-b4e7-0952f4a4ecf4.jpgFOSS4G 2021 - Innovation in teaching: the PoliMappers Collaborative and Humanitarian Mapping courseInnovation in teaching: the PoliMappers Collaborative and Humanitarian Mapping course at Politecnico di Milano Collaborative projects imply a wide variety of skills, ranging from technical abilities to teamwork and problem-solving attitudes. Innovative teaching programmes focused on the use and promotion of open-source geospatial tools represent a key element in developing and fostering such transversal abilities, involving learners with diverse backgrounds in challenging activities. OpenStreetMap (OSM), with its constantly growing community of contributors from all over the world, brings into play open and collaborative dynamics that build a critical ecosystem where single contributions are part of collective intelligence. In this way, everyone willing to be part of the project is enabled to produce the so-called Volunteered Geographic Information (VGI) but also to use them as a valuable source of innovation and development for empowering communities. This initiative, combined with the need to address the lack of open geospatial data in many contexts, led to the foundation of structured OSM contributors groups such as PoliMappers, the first European YouthMappers chapter based in Politecnico di Milano (Italy) and devoted to the promotion of geospatial technologies through dedicated training and workshops. Authors and Affiliations – Gaspari, Federica (1) Stucchi, Lorenzo (1) Bratic, Gorica (1) Jovanovic, Dina (1) Ponti, Chiara (1) Biagi, Ludovico Giorgio Aldo (1) Brovelli, Maria Antonia (1) (1) Politecnico di Milano, Department of Civil and Environmental Engineering, Piazza Leonardo da Vinci, 20133 Milano, Italy Track – Academic Topic – Academic Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/b625d0ec-13ae-49be-950f-13bd87589ecehttps://video.osgeo.org/w/9Uq8rbhDHEWoFHtWDPaGsZhttps://video.osgeo.org/lazy-static/thumbnails/753dedc3-c8e5-4a3f-a545-91bcca1515fd.jpgFOSS4G 2021 - Open source geospatial software powering policy implementation: the INSPIRE central..Open source geospatial software powering policy implementation: the INSPIRE central infrastructure components In force since 2007, the INSPIRE Directive represents most probably the biggest geospatial data sharing/interoperability effort ever undertaken. It aims to create a pan-European Spatial Data Infrastructure (SDI) to support European Union (EU) environmental policies and the European Green Deal data space, setting requirements on the provision of metadata, harmonised datasets and services (to discover, view and download data). Technical requirements for INSPIRE implementation are based on open standards, mainly from ISO and the OGC. The Joint Research Centre of the European Commission is the INSPIRE technical coordinator and supports its implementation by developing and operating so-called INSPIRE central infrastructure components: the Geoportal, Reference Validator and Registry. The INSPIRE Geoportal (https://inspire-geoportal.ec.europa.eu) is the central access point to the data made available by EU Member States under INSPIRE. It periodically harvests Member States discovery services and makes identified datasets findable, accessible and downloadable. The backend is based on Solr, while the frontend uses standard web libraries including Leaflet for managing map content; the basemap is the European Commission’s OpenStreetMap version, reflecting the EU position on disputed borders. A major work has just started to redesign the Geoportal backend using GeoNetwork. The INSPIRE Reference Validator (https://inspire.ec.europa.eu/validator/about) is the tool used by Member States data providers to check the conformity of their resources (metadata, datasets and services) against the INSPIRE interoperability requirements. The software is an implementation of the ETF (https://etf-validator.net), an open source testing framework for SDI resources. Tests are organized into Executable Test Suites (ETS) using SoapUI, BaseX and the OGC TEAM Engine. The INSPIRE Registry ...https://video.osgeo.org/videos/embed/481aa7a3-4bf6-4942-8364-ab0fb8309935https://video.osgeo.org/w/ck4CqpyZywn236uHxgizKqhttps://video.osgeo.org/lazy-static/thumbnails/933bec6a-d947-4cae-adf4-543b3fd57c5c.jpgFOSS4G 2021 - GLAM: Open EO for Agricultural Monitoring and Food SecurityThe new redesigned Global Agriculture Monitoring (GLAM) System is an open source web application providing earth observation capabilities to address food and agricultural security across the globe, enabling near-real-time monitoring of global croplands and allowing users to track crop conditions as growing seasons evolve. After years of operational use and valuable feedback from partners, the time came to redesign this system to be faster, more flexible, and to capitalize new datasets coming online and new computing architectures available. Collaborating with partners such as Conab (Brazil) and INTA (Argentina), the system has been even more refined and improved, spurring the development of regional and national interfaces, allowing for a more detailed analysis of crop conditions in these areas. The system has already been leveraged by organizations like the Buenos Aires Grain Exchange (Bolsa de Cereales) to identify potential crop impacts in Argentina. Please see the abstract above Authors and Affiliations – NASA Harvest, University of Maryland Track – Transition to FOSS4G Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/5bbde487-5a26-42f1-add8-19ca39bfe5b2https://video.osgeo.org/w/evdjVfgeqwvQvjUszZ98ruhttps://video.osgeo.org/lazy-static/thumbnails/ab87e8ab-e75c-4495-8299-2ae0d0b64695.jpgFOSS4G 2021 - OpenStreetMap+LeafLet como Sala de Situación Virtual para el manejo de la EmergenciasOpenStreetMap+LeafLet como Sala de Situación Virtual para el manejo de la Emergencias Ambientales Una sala de situación virtual es un espacio donde se analiza y evalúa de de forma sistemática la información de crisis ambiental y los recursos para administrarla, generada por las diferentes áreas y en forma interdiscipliaria. Integrando recursos de Software Libre y Datos Abiertos, se amalgama la información para presentala desde distintas dimensiones dinámicas y obtener una perspectiva global para el abordaje de las crisis. El MInisterio de Ecología y Recursos Renovables del gobierno de la Poovincia de Misiones, en colaboración con la Dirección de Modernización de la Gestión y Gobierno Electrónico, presentó un mapa público e interactivo como herramienta de apoyo a la toma de decisiones en los casos de crisis y emergencias ambientales. El mapa está accesible en la URL http://sig.misiones.gob.ar/mapas/emergencia/ y el proyecto puede ser clonado dede GitLab en la URL https://gitlab.com/Modernizacion.Misiones/mapa-emergencia Authors and Affiliations – Carlos Brys Dirección de Modernización de la Gestión y Gobierno Electrónico MInisterio de Coordinación General de Gabinete Gobierno de la Provincia de Misiones Track – Use cases & applications Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Españolhttps://video.osgeo.org/videos/embed/6d5af7da-e5a7-4744-b246-7fcb8d9435b2https://video.osgeo.org/w/efcjPhLW3tyBxwTZcCKJidhttps://video.osgeo.org/lazy-static/thumbnails/4618f79c-c998-4aeb-8b52-65fd6147bbc3.jpgFOSS4G 2021 - Climate Adaptation from the State of Birthing Facility Accessibility for Women in ...Climate Adaptation from the State of Birthing Facility Accessibility for Women in the Philippines in the year 2020 As the rapid changes in the landscape of the coastal communities in the Philippine archipelago are undeniably felt brought by the strong typhoons from the Pacific ocean due to the rising global temperature or climate change. This study aims to visualize the accessibility of birthing facilities in the Philippines using the Department of Health’s (DOH) 2020 data that may be used on existing and open frameworks for climate adaptation and disaster adaptation considering that the Philippines ranks 5th among ASEAN nations based on a smart city analysis by the Innovation Cities program. This can be attributed to weak data infrastructure for centralized health systems and the lack of open data and access to information brought about by policy gaps in the National Freedom of Information act on disclosing public information that eventually affected the economy. Furthermore, this study aims to organize activities in various communities in the country on improving city planning and operations can make the Geographical Isolated and Disadvantaged Areas (GIDA) more accessible to government services and make the local government responsive to emerging needs of the population using the Sendai framework where the needs of improvements in maternal mortality in the country have largely stagnated ever since the early 90s. Keywords: Opendata, Health This is a talk on my findings using Free and Open Source Software in processing data for health and visualization. Authors and Affiliations – Tasico, Reynier, Ma-Hop Philippines Requirements for the Attendees – Wits and coffee Track – Use cases & applications Topic – Health Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/6b4231bb-b9cd-450f-820b-2502c8abd066https://video.osgeo.org/w/8wDWN6dEoWKGTVF6BpZhGPhttps://video.osgeo.org/lazy-static/thumbnails/32bc58c2-d8fb-4552-a07c-65d3f48c1562.jpgFOSS4G 2021 - Deep Dive with TileDB and SONARWe should show our SONAR data the same love and attention as the rest of our point clouds. SONAR suffers from the same challenges of scale, datasets split across thousands of files, and inability to quickly manipulate data. And yet, SONAR is one of the most interesting point cloud data types that should be analyzed at cloud scale, from finding shipwrecks to knowing whether a vessel is going to block the Suez Canal. This is where TileDB Embedded can help as an open-source library and cloud-native data engine for working with large multi-dimensional arrays. TileDB Embedded can help accelerate SONAR analysis workflows in several ways. First, I will cover how analysis-ready TileDB arrays of many TBs can be sliced directly from cloud object storage in seconds, returning dataframes that are easily accessible from Pandas in Jupyter notebooks. Next, I will present TileDB integrations with familiar SONAR and point cloud tools like MB-System and PDAL, and how TileDB can help apply this information with modern data science techniques. Finally, I will show real use-cases of TileDB with SONAR point clouds. With TileDB, you can avoid downloading full datasets and working across several domain-specific libraries. TileDB allows you to efficiently extract specific features and points of interest. The talk will conclude by addressing these challenges with a demo of subsea point cloud analysis. TileDB Embedded is a powerful storage engine architected around dense and sparse multi-dimensional arrays. SONAR is sparse 3D data, so TileDB is an ideal solution. As SONAR data makes its way from desktops to the cloud, an open-source data science ecosystem will be crucial in making the leap. TileDB Embedded (https://github.com/TileDB-Inc/TileDB) is particularly well-positioned to close this gap with numerous open-source integrations and cloud-native performance that will make SONAR relevant in modern data science. Integrations TileDB Embedded brings together many integrations including...https://video.osgeo.org/videos/embed/3cf7ab01-a759-4433-9b8b-a15e82a1c377https://video.osgeo.org/w/a1HvnBqQY1x9dNwMLeFkMhhttps://video.osgeo.org/lazy-static/thumbnails/bf5f30ab-c45a-450c-a212-9f9d1d2dabb3.jpgFOSS4G 2021 - Sentinel processing in GRASS GIS: A growing toolset for downloading, preprocessing andSentinel processing in GRASS GIS: A growing toolset for downloading, preprocessing and multitemporal analysis of Copernicus Sentinel data The growing abundance of Copernicus Sentinel Earth Observation data has triggered community- and project-driven development of a set of tools to exploit its potential using GRASS GIS. This talk will give an overview of the existing functionalities, current developments, and application examples: The i.sentinel toolset allows for querying Sentinel data coverage for a region of interest, downloading from various data sources, importing into GRASS GIS, performing atmospheric and topographic correction and cloud/shadow masking. Preparation of data for multitemporal analysis is made possible in the t.sentinel and t.rast.mosaic extensions by automatic creation of space time raster datasets (strds) and temporal aggregation to achieve up to cloud-free temporal mosaics. Furthermore, a dedicated add-on based on ESA’s SNAP software handles Sentinel-1 SAR data preprocessing (radiometric calibration, speckle-filtering, geometric terrain-correction) and import. In all add-ons, effort is put in parallelization wherever possible to speed up the processing times of heavyweight Earth Observation data. This toolset allows the use of the entire range of GRASS GIS functionality for image analysis in various applications. We show use case examples for nationwide landcover classification, small-scale forest monitoring, flood mapping and more. See also the following GRASS GIS resources: - GRASS GIS Addons overview - Manuals for the i.sentinel toolset - The GRASS GIS Addons repository - The t.sentinel and t.rast.mosaic repositories Examples of Sentinel Addons in action: - Flood mapping in Ecuador - Nationwide land cover classification - Tropical forest regrowth monitoring Authors and Affiliations – Guido Riembauer (1), Anika Weinmann (1), Carmen Tawalika (1), Veronica Andreo (2), Luca Delucchi (3), Roberta Fagandini (4), Markus Neteler (1) (1) mu...https://video.osgeo.org/videos/embed/48fbd3c2-3dae-432b-b72c-d3434b6d7396https://video.osgeo.org/w/uL4urcHXSr6wGeUR9TtPMKhttps://video.osgeo.org/lazy-static/thumbnails/e583d5f8-7154-41fe-8c67-908fbb45765a.jpgFOSS4G 2021 - Vector tiles and styles management for Hidrography dataThe generation and consumption of spatial information in the hydrographic field is a fundamental part of daily work, as not only are many decisions taken based on this information but, additionally, information is produced in real time based on these decisions and processes. Another of the particular characteristics of hydrographic information is the great amount of detail and its size, which traditionally makes it necessary to use desktop tools for the execution of geoprocesses and the production of derived information. In this context, the use and edition of information through web clients using OGC processes and standards (WMS, WMST, WPS), solves the casuistry and provides the necessary power for daily work, focused on an architecture where the server centralises operations and processes. However, the irruption of new technologies with the use of vector tiles presented as an evolutionary leap presents great advantages in the management of data at both server and client level. At the server side, it allows for lighter and more resilient infrastructures through the use of STAC and enables the process load to be distributed while at client level, it provides the browsers with the vector data for the execution of geoprocesses locally using specific tools. This use case presents a practical application for the production and customisation of vector tiles in the specific case of hydrological information, presenting an application where, on the one hand, spatial information is integrated into the data production processes by generating the appropriate services and, on the other hand, client tools are used for the management, geoprocessing and consolidation of spatial information using vector tiles. Additionaly, the information in vector tile format has specific styles, developed using a tool that manages the spatial information in vector format and establishes an associated style through a simple user interface. Thus, the viewer requests the vector information an...https://video.osgeo.org/videos/embed/e8e6c261-ac7d-4e00-a53a-e35753ba3ea1https://video.osgeo.org/w/v1c3cYUrSewc1Sp2jHsGrohttps://video.osgeo.org/lazy-static/thumbnails/de22ef1d-2664-43ec-b4a4-bfecfc758b04.jpgFOSS4G 2021 - What is needed to add 1 billion people missing from the current mapsLast year HOT was among more than 100 organizations that were chosen to be part of the Audacious project, this project will help the organization to focus in 94 countries which are suffering diverse challenges and 1 billion people live in these regions. Adding this as Open Data can help to bring them out of poverty and create projects to have a better future. Humanitarian OpenStreetMap has been an active organization since 2010, the focus is mapping in areas in the one there is a natural, political, economical crisis. Since last year with the Audacious grant, there is an opportunity to escalate the project and enforce local communities to have long-term impact. In this talk I would like to share the five year plan that will support the goal mentioned previously of mapping 1 billion people located in 94 countries facing different challenges. Authors and Affiliations – Miriam Gonzalez (Mapanauta) Humanitarian OpenStreetMap (HOT) Geochicas UP42 Track – Open data Topic – FOSS4G for Sustainable Development Goals (SDG) Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/eadfd2d5-e3c1-45c3-bc98-00ca07e1ee00https://video.osgeo.org/w/4gSqpy2vvnik7fqkqofu9yhttps://video.osgeo.org/lazy-static/thumbnails/69e76a84-3845-447b-8f1f-f594f1aee283.jpgFOSS4G 2021 - WAPLUGIN: Water Accounting and Productivity Plugin for QGISThe WAPLUGIN is a bridge that connects WaPOR, the free FAO portal, and QGIS, the open-source software, making the WaPOR data easy to access and providing the possibility to calculate water accounting and productivity indicators for agricultural purposes. To know more about the WAPLUGIN and how the idea came up, please check the following video, in which the WAPLUGIN Team was invited to the QGIS Open Day, February 26/2021, to share their experience. https://www.youtube.com/watch?v=Dqd_o01x1t0&ab_channel=QGIS The WAPLUGIN was implemented using pyQGIS and the script is in the GitHub platform that gives access to the open-source community. https://github.com/fhfonsecaa/wap_plugin Authors and Affiliations – Author: Natalia Cárdenas Niño. Co-authors: - Akshay Dhonthi - Margaret Nkhosi - Nabil Khorchani - Fabian Humberto Fonseca Aponte Track – Open data Topic – Data collection, data sharing, data science, open data, big data, data exploitation platforms Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/1a82a53c-1d3f-4957-a063-d0a4d6e38730https://video.osgeo.org/w/nfkrwp6pBDoygPENtJEDd1https://video.osgeo.org/lazy-static/thumbnails/ecde7d3d-a8f7-4783-a23a-5f53dd06aa4a.jpgFOSS4G 2021 - 3D Urban data in QGIS3D data become more and more common these days. Sensors like drones or "streetview" cars produce large amounts of images used to create 3D models through photogrammetry. 3D editing software also eases the production of 3D models, especially for BIM. AI systems begin to be ready to generate 3D objects of the world. It is now frequent for municipalities to acquire a full 3D dataset of all urban objects. These datasets pose a certain amount of issues : how to visualize them efficiently ? How to integrate these 3D data with other GIS data ? How to make them available on the web ? How to manage this data with my favorite GIS software ? We worked on these issues in order to be able to manage urban data efficiently in QGIS. Based on the emerging 3D capabilities of QGIS, we explored the 3D Tiles format and implemented it in QGIS, so as to be able to visualize large amount of urban data. In this presentation, we will present our work on urban data visualization, the state of the art in QGIS 3D visualization, and future work planned in this area. We will showcase the features with a real-world example. Authors and Affiliations – Benoît De Mezzo - Oslandia Track – Use cases & applications Topic – Data visualization: spatial analysis, manipulation and visualization Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/ac104e15-130b-413f-a489-d84627085adchttps://video.osgeo.org/w/7y6C33Vrx6ctQLvsGDq7T6https://video.osgeo.org/lazy-static/thumbnails/0dbe258b-ce78-4b75-8a6d-caf0ca115e76.jpgFOSS4G 2021 - Resilience Academy student internship model as an innovative way to enhance geospatialResilience Academy student internship model as an innovative way to enhance geospatial literate future work force in Africa Urbanisation challenges Africa’s young labour force, which needs to be skilled to solve problems caused by unplanned urbanisation. This is a major opportunity for African universities and their students’ future employment. However, young, graduated experts need to be able to steer urbanisation to sustainable trajectories with digital skills of geospatial data and technologies, which enable urban transformation. Understanding and addressing this challenge requires innovative, open, and dynamic data collection processes that support management of urban growth, disaster risk and emergency response. At the same time, successful activities are contingent on local capacity to develop accurate, up-to-date information that can support real-time decision making, affect long-term policy and planning, and develop tools to translate data into meaningful action. The Resilience Academy is a university partnership program in Tanzania, focusing on geospatial skills and knowledge transfer for improved urban resilience. Resilience Academy uses tools and technologies, which are open, affordable and locally adaptable, such as drone images, smartphones and open-source software. New geospatial data and knowledge is created through community mapping methods aiming for improved spatial planning and risk management. One of the key activities of the Resilience Academy is students’ placement to mass-internships for a period of 8-12 weeks. Student internship model of the Resilience Academy is designed to work with the local organisations to conduct geospatial data collection campaigns based on the use of various open source data and tools combined with community mapping and digital online working. Simultaneously, students’ exposure to practical training during the internship provides them with relevant applied geospatial skills, which increase their future employmen...https://video.osgeo.org/videos/embed/351218cb-1243-4d72-880e-acb7bc98657bhttps://video.osgeo.org/w/u8Xnvep3gVzCXr1fwsrvoUhttps://video.osgeo.org/lazy-static/thumbnails/b6c2b13c-3164-4cc0-b113-df37c1ded431.jpgFOSS4G 2021 - Usage of FOSS for the provision of corporate level services in the ECGISCO, the ‘Geographical Information System of the COmmission’, is a permanent service of Eurostat that fulfils the requirements of both Eurostat and the European Commission for geographic information and related services at European Union (EU), Member State and regional levels. These services are also provided to European citizens at large. GISCO’s goal is to promote and stimulate the use of geographic information within the European Statistical System and the European Commission. In line with the Open Source Strategy of the European Commission the GIS world moved from a single proprietary software stack into a mixed environment. For the Desktop GIS user this involved the deployment of the OSGEO4W suite of tools like QGIS, Grass, Saga and GDAL, while for the corporate level a range of services have been deployed according to the respective requirements, ensuring alignment with respective OGC standards. Software packages to accomplish these tasks include PostgreSQL, OS-GeoNetwork, Mapnik, Nominatim, Photon, Mapproxy and own developments. The talk will describe the current setup to the European Institutions, advantages and disadvantages and will conclude with some lessons learned. It will include practical examples how for example data from OSM are adapted to reflect the political view of the European Council. A small talk about the usage of Free and Open Source Software for serving geographic information in a European Institution Authors and Affiliations – Hannes I. Reuter for the GISCO team EC - DG ESTAT - Unit E4 -Regional statistics and geographical information Track – Use cases & applications Topic – Government and Institutions Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/e3dc365a-1345-4410-aae5-525829cebb0chttps://video.osgeo.org/w/3hxq4zGp7pN1eeQbqi3Sxhhttps://video.osgeo.org/lazy-static/thumbnails/e4ac35e6-a226-425f-b594-273012ed602f.jpgFOSS4G 2021 - Using LANCE Near Real-Time Products for Disaster Risk ReductionThe NASA Earth Science Disasters Program handles requests from stakeholders and provides rapid response for Disaster Risk Reduction using Near Real-Time (NRT) products from NASA’s Land, Atmosphere NRT Capability for Earth Observing System (EOS) (LANCE). The combination of all available LANCE NRT satellite products provides global coverage at multiple times per day, which makes it possible to help users in different phases of the disaster’s life cycle. LANCE NRT fire and atmosphere products have been used to locate fires and high-temperature heat sources, and to assess the extent of air pollution. LANCE NRT global flood products and NASA’s Black Marble night-time light products have been used to monitor land cover and land use change over time in disaster impacted areas. Generated products and related information have been archived in NASA Disasters Mapping Portal for the use of stakeholders and end-users. Please see the abstract above. Authors and Affiliations – Dr. Tian Yao, NASA GSFC/SSAI Track – Transition to FOSS4G Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/128189a8-ecf3-4fbd-a399-b33962b706fehttps://video.osgeo.org/w/3PbBjsPGLWxiELWUMNVWTWhttps://video.osgeo.org/lazy-static/thumbnails/198484d7-4ef2-4e4f-8f8d-f87227c061c5.jpgFOSS4G 2021 - Testing Geospatial JavaScriptTesting can be tricky at the best of times, let alone when you through mapping data into the mix! This talk looks at exploring ideas around testing geospatial programs in JavaScript The aim of this talk is to examine ways of unit testing geospatial JavaScript programs. There are many avenues you can go down to test the behaviour of geospatial applications and they will have different trade offs in terms of performance, brittleness and how well they mimic the real world. We will examine different ways we can approach testing our JavaScript code, looking at how they respond to these trade offs. The talk will predominantly look at using the popular framework Jest for reference, however the ideas should be applicable across many testing libraries. Authors and Affiliations – James Milner, Dent Reality Requirements for the Attendees – Understanding of JavaScript Basic knowledge of software testing Track – Software Topic – Software/Project development Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/16c8c5c2-854a-49ec-9484-e3ce1cc3c1a4https://video.osgeo.org/w/1K23nPXW7TvrrKyjiSWmsXhttps://video.osgeo.org/lazy-static/thumbnails/56e47f44-bf56-4cd4-b75d-2f2674da5c1f.jpgFOSS4G 2021 - Integrated modeling with k.LABThe Knowledge Laboratory, in short k.LAB, is a software stack that embraces the FAIR principles: findable, accessible, interoperable and reusable. Its objective is to support linked knowledge across the borders of the domains of single modelers and scientists. The Knowledge Laboratory, in short k.LAB, is a software stack that embraces the FAIR principles: findable, accessible, interoperable and reusable. Its objective is to support linked knowledge across the borders of the domains of single modelers and scientists. k.LAB’s fascinating novelty is the possibility to work in an interconnected manner of knowledge networks, on which resources and models are described without ambiguity. This is achieved through the use of semantics to create a natural language to describe the models and the qualities that want to be observed. Modelers can develop their models and publish them to the network. Publishing makes them findable and accessible within the network. Since everything in the network is observable, when running a model, k.LAB looks for the best knowledge unit able to resolve the particular request. This can be due to a given rule in a particular location in the world, or the chosen timestep of an environmental model, the availability of data at a needed resolution or just the fact that a different model is describe to work best for the given spatio-temporal context. Much as search engine ranking algorithms do, a reasoner takes care of transforming the observation strategy of the modeler, i.e. the model, into the best possible dataflow to produce the final observations. Interoperability is build and reusability is a natural consequence. The k.LAB software stack is free and open source and relies on various projects of the Osgeo community as Geoserver, Openlayers and the Hortonmachine. Initially started in the USA with NSF fundings, k.LAB is now an initiative of a partnership led by the Basque Centre for Climate Change. It currently involves scientists and decision...https://video.osgeo.org/videos/embed/06019fa6-4c5f-410f-b7c8-7a7b8fef9f9bhttps://video.osgeo.org/w/9RwdLMDHHHm3G1D6nb4uYChttps://video.osgeo.org/lazy-static/thumbnails/dbb7f1dd-df3f-492f-b126-a1e40fcc1778.jpgFOSS4G 2021 - Community mapping of the COVID-19 pandemic in Romania using FOSS4GIn this talk, we aim to present the geo-spatial.org community efforts of visualizing the geospatial spread of the COVID-19 pandemic in Romania since its beginning in March 2020 until the present time. Geo-spatial.org’s Covid-19 app, built entirely on FOSS, delivers correct, complete and updated official information on the virus spread in Romania. Our platform contains several maps and graphs depicting the different dimensions of the pandemic in Romania, ranging from confirmed cases/deaths/healed patients and related statistics, to hospital infrastructure, quarantine zones to pollution/mobility indexes, as well as other impact indicators of this epidemic in our country. Unfortunately, the Romanian authorities have failed in communicating the evolution of the COVID-19, resulting in numerous glitches in different reports. Thus, we have been volunteering our time to collect detailed information from the local/national media, compare it to the official reporting, sort it and deliver it in a structured manner. One year in the pandemic and the situation has not improved. With a notable, but a too limited exception, the Romanian authorities have not changed their opaque policy of interacting with the community. Thus, the COVID-19 geo-spatial.org team has continued to support the data mapping efforts and the open data community. The application is built using Node.js, PostgreSQL+PostGIS, R on the backend and OpenLayers, Angular, charts.js, Plotly and D3.js for the frontend. The source code is on GitHub [https://github.com/geospatialorg/covid19], MIT licensed. The infrastructure is supported by Sage Group [http://www.sage.ieat.ro/] on AWS and by Carto. This talk will cover aspects related to the mapping effort conducted by the geo-spatial.org community along with the collaborators and other volunteers. We will present our platform functionalities (structure, maps and graphs) and the mapping workflows we use for translating unstructured datasets into cleaned, corrected ...https://video.osgeo.org/videos/embed/47b32d89-4a9e-4189-b28f-6eb0a97f5fbchttps://video.osgeo.org/w/tWDDr1kbZ66aRoFbY6h86Thttps://video.osgeo.org/lazy-static/thumbnails/750f041d-9448-487a-9fa0-077c9eb51dc2.jpgFOSS4G 2021 - A Research on EIA(Environment Impact Assessment) Data Visualization Technology usingA Research on EIA(Environment Impact Assessment) Data Visualization Technology using FOSS4G This research is about the development of an EIA decision support system that effectively integrates and visualizes the results of the EIA review process and related information such as BIM/GIS, modeling data, and sensor data. The final goal is to improve the EIA process so that not only experts but also non-experts can participate in the EIA process and easily understand the EIA statemnets using innovative technologies such as 3D GIS and Easy Finger real-time simulation. The final system will be developed and opend as an open source. This research is 5 years long project funded by Minstry of Environment, South Korea. This talk will focus on the 1st year's research outcome and future plans. I'll introduce this 5 year-long open source project that aims at facilitating the understanding and engagement of stakeholders during EIA process. Authors and Affiliations – Sanghee Shin, Gaia3D Hakjoon Kim, Gaia3D Sungdo Son, Gaia3D Jeongdae Cheon, Gaia3D Track – Use cases & applications Topic – Data visualization: spatial analysis, manipulation and visualization Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/e2481b70-2277-4d86-8f86-3b7906fc4021https://video.osgeo.org/w/aVeC3GKidtMZ3U4yMC3u5Lhttps://video.osgeo.org/lazy-static/thumbnails/093990d2-3c8f-4915-b141-edb4d824983a.jpgFOSS4G 2021 - Slopes: a package for reproducible slope calculation, analysis and visualisationSlopes are important for many purposes, including flood risk, agriculture, geology, and infrastructure constructions. In transport planning, consideration of gradient is especially important for walking and cycling routes, which provided our initial motivation for developing this package. Slope gradient attributes of vector geometries can be calculated using proprietary products such as ArcMap. But to enable transparency, reproducibility and accessibility of used methods, we want to be able to calculate slopes using free and open source software. We developed an R package - slopes - due prior experience with the language and the mature 'R-spatial' community which has developed mature codebases for working with geographic data in a reproducible command line environment, including sf (for working with vector datasets representing roads and other linear features) and raster (for representing digital elevation models, DEMs). Building on these foundations the slopes package is now working and has been used to calculate slopes on thousand of roads in several cities across the globe, as long as it has elevation data to work with. Comparison with ArcMap's 3D analyst show that the approach is competitive with the go-to proprietary produce in terms of computational speed and that we can reproduce ArcMap's results: tests show an R-squared value of 0.977. We hope the package will be of use and interest to the FOSS4G and in the talk will discuss ideas for taking the work forward, e.g. by implementing the logic into other languages/environments such as Rust, Python and even as a QGIS plugin. Could there be scope for an inter-disciplinary and language-agnostic community interested in slope analysis? We would like support efforts to strengthen links between geospatial developers who use R and the wider FOSS4G community, for example by comparing the slopes package with other open source approaches for slope calculation and analysis for mutually beneficial learning. We will concl...https://video.osgeo.org/videos/embed/50510ff2-7300-43f1-8a95-f5e55a021434https://video.osgeo.org/w/rXJspFWPKS8V1XkzE7fpAKhttps://video.osgeo.org/lazy-static/thumbnails/639e1bb3-bd3c-480c-90ca-c47073205486.jpgFOSS4G 2021 -Mobilizing an Open Mapping Initiative on Social Media Platforms with the LGBT CommunityAs one of the countries that were shaped greatly by the Spaniards in Southeast Asia for over a hundred years were primal culture and traditions were forgotten as we’ve started embracing the Catholicism brought by the colonizers which affected the perception of sexual orientation and the stigma on HIV which is associated from the strong religious belief of the people. Accessing quality healthcare for maintenance proves this as a barrier where individuals were hiding their status from their primary family members. Because of this, MapBeks mobilized, crowdsourced, and eventually digitized the privately and publicly owned HIV facilities across the country that may help in navigating safe spaces and ordinances against discrimination in the country. The mobilized community of Mapbeks with its partners conducts workshops that include open mapping activities that aim to teach various communities and organizations to map in the OpenStreetMap aside from the workshop on knowing oneself with others through the Sexual Orientation and Gender Identity Expression which may pave the way on better communication with others, especially in mobilizing initiatives for the vulnerable and underrepresented communities in the country. Keywords: Social Media, Opensource, LGBT, Community Roles, Mobilization This academic entails the method on how digitized and crowdsourced the HIV facilities in the Philippines towards accessible health through open source. Authors and Affiliations – Reynier Tasico, MapBeks Philippines Track – Community / OSGeo Topic – Data collection, data sharing, data science, open data, big data, data exploitation platforms Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/d23c89b1-c63e-4d9e-891b-cf72af3ce12bhttps://video.osgeo.org/w/w6hCCvwGo2STfCuCjBonfRhttps://video.osgeo.org/lazy-static/thumbnails/a9b64f68-3c42-4ac1-b1e0-c11cbadcff92.jpgFOSS4G 2021 - Large scale QGIS deployments : feedback and lessons learnedNowadays, installing QGIS seems like straightforward : download the installer, run it, click "next, next, next", and enjoy ! While this is true for common single users, the situation can be very different in large organizations. With QGIS becoming the de-facto desktop GIS, and adding server capabilities, large deployment have become a strong need and a reality. In big corporations or large public organizations, the IT infrastructure is usually complex, and requires a specific attention to the way software deployments are achieved. Installing QGIS for hundreds or thousands of users can be a major challenge. The following technical issues, among others, have to be tackled : - Automated installation - Dealing with multiple user profiles - Automated configuration - Dependency management - Restricted Network access - Security - Customization and packaging - Upgrade management Moreover, outside of technical aspects, organizational aspects have to be taken into account. Support, helpdesk, maintenance, upgrade policy, training, funding… We will show real-world examples of QGIS deployment in big corporations and large public organization. Based on our experiences with QGIS large scale deployment, we explain in this presentation how we dealt with all these topics, and the lessons we learned on the way. Nowadays, installing QGIS seems like straightforward : download the installer, run it, click "next, next, next", and enjoy ! While this is true for common single users, the situation can be very different in large organizations. With QGIS becoming the de-facto desktop GIS, and adding server capabilities, large deployment have become a strong need and a reality. In big corporations or large public organizations, the IT infrastructure is usually complex, and requires a specific attention to the way software deployments are achieved. Installing QGIS for hundreds or thousands of users can be a major challenge. The following technical issues, among others, have to be tackl...https://video.osgeo.org/videos/embed/f3af20d1-d7b0-4118-a94c-d9b2af59a831https://video.osgeo.org/w/83Ym38o54stJvsMRS28NbPhttps://video.osgeo.org/lazy-static/thumbnails/b8ec02d4-e48a-4f49-978f-cc0e013cf5cb.jpgFOSS4G 2021 - State of deegree 2021State of deegree 2021 provides an update on our community and reviews the latest and noteworthy features of deegree webservices. In this talk, after a short overview of the current status, we will focus on the recent improvements available in deegree and our updated roadmap for full Java 11 support. Finally, we will explore potential future directions for the project and show what future developments are currently planned such as the support for OGC API - Features Core, part 1 and 2. State of deegree 2021 provides an update on our community and reviews the latest and noteworthy features of deegree webservices. Initiated in 2002 the OSGeo project deegree has developed over the last 20 years to an important building block for Spatial Data Infrastructures (SDI). As the implementation of the INSPIRE directive is fully underway it requires stable and mature software solutions based on OGC standards such as GML, WFS and WMS. One of the goals of the deegree project is to provide implementation of those standards. In this talk, after a short overview of the current status, we will focus on the recent improvements available in deegree and our updated roadmap for full Java 11 support. Finally, we will explore potential future directions for the project and show what future developments are currently planned such as the support for OGC API - Features Core, part 1 and 2. Authors and Affiliations – Friebe, Torsten (lat/lon GmbH, Bonn, Germany) Stenger, Dirk (lat/lon GmbH, Bonn, Germany) Reichhelm, Stephan (grit GmbH, Werne, Germany) Track – Community / OSGeo Topic – Software status / state of the art Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/391a2eaa-1fbb-487e-b927-b009c7677313https://video.osgeo.org/w/aRoKAa2aJywBWuKzJwAwPwhttps://video.osgeo.org/lazy-static/thumbnails/0e3929d2-e478-49ee-9000-79edd3016fe9.jpgFOSS4G 2021 - Fast, Robust Arithmetics for Geometric Algorithms and Applications to GISGeometric predicates are used in many GIS algorithms, such as the construction of Delaunay Triangulations for Triangulated Irregular Networks (TIN) or geospatial predicates. With floating-point arithmetic, these computations can incur round-off errors that may lead to incorrect results and inconsistencies, causing computations to fail. This issue has been addressed using a combination of exact arithmetics for robustness and floating-point filters to mitigate the computational cost of exact computations. The implementation of exact computations and floating-point filters can be a difficult task, and code generation tools have been proposed to address this. We present a new C++ meta-programming framework for the generation of fast, robust predicates for arbitrary geometric predicates based on polynomial expressions. We show examples of how this approach produces correct results for GIS data sets that could lead to incorrect predicate results for naive implementations. We also show benchmark results that demonstrate that our implementation can compete with state-of-the-art solutions. Among other applications, Delaunay triangulations are important for the construction of Triangulated Irregular Networks (TIN). TINs are used in GIS applications to represent terrains in Digital Elevation Models and to produce Digital Surface Models or Digital Terrain Models, as discussed in (Li, 2004). Predicate failures in the underlying Delaunay triangulation may lead to issues with the mesh quality and cause crashes due to invalid triangulations or failure to terminate as discussed in (Shewchuk, 1997). The issue of predicate robustness is therefore not limited to use cases with high precision requirements. Authors and Affiliations – Bartels, Tinko (1) Fisikopoulos, Vissarion (2) (1) Technical University of Berlin, Germany (2) Oracle, Greece Track – Academic Topic – Academic Level – 3 - Medium. Advanced knowledge is recommended. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/4fc7b6bb-98fa-411a-b9a3-11d335fce82chttps://video.osgeo.org/w/ekZhiRrqTdEmnvWkL3DCb5https://video.osgeo.org/lazy-static/thumbnails/f2ed9dbd-77f7-493a-bf8b-dab057e47824.jpgFOSS4G 2021 - Open-source seagrass and blue carbon mapping in support of the nationally determined .Open-source seagrass and blue carbon mapping in support of the nationally determined contributions Seagrasses are one of the world’s most productive ecosystems, playing an important role in climate change mitigation and adaptation. They are vast natural carbon sinks which have important yet underestimated implications into national climate agendas. Precise knowledge of seagrass distribution and site-specific in-situ carbon data is crucial for global seagrass carbon storage, but is limited to a few well-studied sites. Within the context of the Global Seagrass Watch project, funded by DLR and supported by the GEO-GEE program, we aim to develop open country-scale seagrass maps and related carbon stocks in support of the Nationally Determined Contributions of the Paris Agreement. We process open Sentinel-2 multi-temporal data within the open cloud computing platform of the Google Earth Engine to quantify seagrass and associated carbon stocks. Our generated data inventories will support interdisciplinary scientific research and management efforts within a regional and global climate action context. Please see the abstract above. Authors and Affiliations – German Aerospace Center (DLR) & RWTH Aachen University Track – Use cases & applications Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/6c113c27-f186-40b5-974c-631f419d8180https://video.osgeo.org/w/uQEox7qyDLkCZcSPXZBhykhttps://video.osgeo.org/lazy-static/thumbnails/94b8588a-427e-4380-a7b3-3bcfbadebd52.jpgFOSS4G 2021 - Defining temporal spatial data quality aspects for OpenStreetMapDefining temporal quality for OpenStreetMap comes with additional challenges while assessing the data from global south. This is because the extrinsic quality measure cannot be taken, and intrinsic measures can only indicate subjectively where the data is doubtful. This work take the challenge to define the temporal quality aspect for the purpose of disaster risk reduction that would determine when data should be updated, revisited, and produced and when it can be constituted as incomplete in OSM. This presentation is part of larger research aim that I as an independent researcher am trying to achieve which developing a relationship between (regional) contexts and OSM data quality. The OSM data is staled and in many instances not updated. The example of OSM data production in Haiti is an interesting and alarming case because the data is only produced when there are distresses. While if we visualize the pattern for data production from OSM history viewer from Heidelburg institute we can see that there are sudden jumps of data production which has correlation with major HOTOSM project and/or major disaster. This causes alot of back log in aid and situational awareness. The data needs to be added before urgency. This work will try to work on finding solutions on how can temporal uncertainty be detected. Authors and Affiliations – Muhammad Saleem, Open GIScience Research Lab, Enschede, the Netherlands Track – Transition to FOSS4G Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/e98b3dc1-3650-4cb4-8886-674532bc6abbhttps://video.osgeo.org/w/fb2orbv8PXbCNGaZYjfiELhttps://video.osgeo.org/lazy-static/thumbnails/fd58565b-7bf1-4543-b85a-e229e4eaa5fb.jpgFOSS4G 2021 - Open AI Data to Address Environmental Sustainability ChallengesThis presentation will be a live interview hosted by Rob Emanuele, where we will discuss topics related to open data, data accessibility, and analysis for environmental sustainability. There will be questions prepared ahead of time, as well as questions from the audience during the Q&A section at the end. This presentation will be a live interview hosted by Rob Emanuele, where we will discuss topics related to open data, data accessibility, and analysis for environmental sustainability. There will be questions prepared ahead of time, as well as questions from the audience during the Q&A section at the end. Authors and Affiliations – Alemohammad, Hamed (1) (1) Radiant Earth Foundation Track – Open data Topic – Data collection, data sharing, data science, open data, big data, data exploitation platforms Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/72c63bcc-1a8d-4b38-bdea-c70361b1c33chttps://video.osgeo.org/w/hPBeUjbvXPzhGXwpNsVpBEhttps://video.osgeo.org/lazy-static/thumbnails/4f8c5af2-e358-41b3-a2ec-c85acf07fc84.jpgFOSS4G 2021 - MRF: Meta Raster Format Library for JavaScriptThis talk introduces mrf, a pure JavaScript package for reading satellite imagery in Meta Raster Format. It can be used both client-side in the browser, server-side, and in a Lambda function. You can view more about the library here: https://www.npmjs.com/package/mrf This talk introduces mrf, a pure JavaScript package for reading satellite imagery in Meta Raster Format. It can be used both client-side in the browser, server-side, and in a Lambda function. You can view more about the library here: https://www.npmjs.com/package/mrf Authors and Affiliations – Daniel J. Dufour GeoSurge, LLC Track – Software Topic – Software status / state of the art Level – 3 - Medium. Advanced knowledge is recommended. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/8837e49a-51dd-4133-ae83-3c817f6540b8https://video.osgeo.org/w/hpkQANZJQkzvP9PRXGTjUYhttps://video.osgeo.org/lazy-static/thumbnails/f30e5da5-4604-4210-bbad-2302e5765b22.jpgFOSS4G 2021 - MapStore, a year in reviewMapStore is an open source product developed for creating, saving and sharing in a simple and intuitive way maps, dashboards, charts and geostories, directly online in your browser. MapStore is built on top of React and Redux, it is cross-browser and mobile ready; it does not explicitly depend on any mapping engine but it supports both OpenLayers, Leaflet and Cesium; additional engines could also be supported (MapBox GL is in the working). The presentation will give an overview of the product, covering current and planned functionalities as well as a few case studies. MapStore is an open source product developed for creating, saving and sharing in a simple and intuitive way maps, dashboards, charts and geostories directly online in your browser. MapStore is cross-browser and mobile ready, it allows users to: - Search and load geospatial content served using widely used protocols (WMS, WFS, WMTS, CSW) and formats (GML, Shapefile, GeoJSON, etc..) - Manage maps (create, modify, share, delete, search), charts, dashboard and stories directly online - Manage users, groups and their permissions over the various resources MapStore can manage - Edit data online via WFS-T with advanced filtering capabilities - Deeply customize the look&feel to follow strict corporate guidelines and much more…. You can use MapStore as a product to deploy simple geoportals by using the standard functionalities it provides but you can also use MapStore as a framework to develop sophisticated webgis portals by reusing and extending its core building blocks. MapStore is built on top of React and Redux, at its core it does not explicitly depend on any mapping engine but it can support both OpenLayers, Leaflet and Cesium; additional mapping engines could be also supported (MapBox GL is in the working) to avoid any tight dependency on a single engine. The presentation will give the audience an extensive overview of the MapStore functionalities for the creation of mapping portals, covering bo...https://video.osgeo.org/videos/embed/84d48d03-441d-48b9-834b-4b1bcf955820https://video.osgeo.org/w/1gtapZfLw3swAu51bNwxuahttps://video.osgeo.org/lazy-static/thumbnails/69994078-b642-4a91-abea-27e643cedb7f.jpgFOSS4G 2021 - From static PDFs to interactive, geospatial PDFs, or, ‘I never knew that PDFsFrom static PDFs to interactive, geospatial PDFs, or, ‘I never knew that PDFs could do that!’ You’ve almost certainly used the PDF format to store a map visualisation before - but did you know that PDFs aren’t restricted to static data? Using Geospatial PDFs you can build interactive PDFs in which layers can be switched on and off, data and locations can be queried, and data can even be re-loaded back into a GIS system. And you don’t need fancy software to create these PDFs: it can be done with QGIS and GDAL. This talk will start with the basics of exporting a Geospatial PDF from QGIS, and demonstrate what can be done with the resulting PDF. I will then show how nicely styled Geospatial PDFs can be created in GDAL using a XML configuration file (yes, GDAL can do vector styling!). Finally, I will show just how far you can take this...creating a fully-interactive, animated geospatial data display application in a PDF file (yes, really - it sounds crazy, and it probably is a bit crazy, but it works!). This particular application allows visualisation of shipping tracks alongside ancillary data, and the interactivity allows you to show and hide layers, jump to specific times, step through time and produce an animation of the ship’s track. Of course, being a PDF, this can be shared as a single file, easily printed at any stage, and doesn’t require the installation of specific GIS software. This is implemented through the magic of Python, GDAL and the PDF Javascript API. This final output can be created entirely using open-source software, but does require the proprietary Adobe Reader software to work to its full extent - although most Geospatial PDFs can be used with a range of PDF reader applications. Open-source code samples will be provided alongside the presentation, and the presentation will include interactive demonstration of the created PDFs. The presentation is likely to appeal to users of all experience levels, and may introduce even expert users to possi...https://video.osgeo.org/videos/embed/0228e55a-9df2-4ace-9970-4627ab15c18dhttps://video.osgeo.org/w/meaHNtMjgU9AmbgAaJkXifhttps://video.osgeo.org/lazy-static/thumbnails/afb3801f-81a8-4070-81ca-3658ed514e52.jpgFOSS4G 2021 - Open source geometry on the sphere using S2 Geometry and RWhereas many vector processing algorithms require coordinates to be in projected coordinates, processing algorithms are often needed, or simply more convenient, in a global context. Several open source projects currently compute for instance areas from ellipsoidal coordinates by simply assuming they are Cartesian, resulting in meaningless ("squared degree") quantities, without warning. Google's open source S2 Geometry library provides data structures and algorithms for manipulating vector geometry on the sphere; however, its use in open-source GIS software is limited. In addition to most simple feature access operators, S2 Geometry allows for "semi-open" polygons, which uniquely assigns points on boundaries of two touching polygons to a single polygon. This is a welcome addition to DE-9IM for the common case where sets of polygons represent a coverage. In 2020 we created a set of bindings for S2 Geometry in R to add sphere-native capabilities to the sf package, whose functions were previously powered by GEOS for both projected and spherical coordinates. Our bindings reconciled a number of differences between S2 Geometry's C++ API and GEOS' C API that were needed for a seamless transition for users of sf. In addition to eliminating the need for projected coordinates for many vector processing applications, benchmarking suggests that predicates and overlay computations using S2 are as fast as or faster than those based on 2D projected coordinates. It is planned that these bindings become the default when coordinates are ellipsoidal. Collectively, we see a bright future for S2 in the R language and the greater free and open-source geospatial community. Authors and Affiliations – Dunnington, Dewey (1); Pebezma, Edzer (2) (1) Bedford Institute of Oceanography, Dartmouth, Nova Scotia, Canada (2) Institute for Geomatics, University of Münster, Münster, Germany Track – Software Topic – Software/Project development Level – 3 - Medium. Advanced knowledge is recommende...https://video.osgeo.org/videos/embed/a3cd6ecc-c61e-44b6-922b-4f47b95c3adchttps://video.osgeo.org/w/trZ5Q4hndFLTYazxDWzZ6Dhttps://video.osgeo.org/lazy-static/thumbnails/6e70804c-8a8a-41dd-a6bc-7244ed9501f5.jpgFOSS4G 2021 - QGIS MetaSearch: lowering the barrier to geospatial data discovery in the desktopMetasearch is a dataset search plugin for QGIS. It was originally created by NextGIS and later adopted by the geopython community. We’ve recently worked on some improvements in Metasearch. You can now also query an OGC API Records endpoint from within QGIS. From that work we were able to advance the OGC API Records implementation in pygeoapi and GeoNetwork and share some valuable feedback to the OGC community about the emerging standard. Catch up on the latest ogcapi-records research and development and the choices being made to support data connectivity and automation. Read more at: - https://plugins.qgis.org/plugins/MetaSearch - https://ogcapi.ogc.org - https://pygeoapi.io - https://github.com/geonetwork/geonetwork-microservices Authors and Affiliations – Tom Kralidis (OSGeo, tomkralidis@gmail.com) Paul van Genuchten (GeoCat BV, the Netherlands) Track – Use cases & applications Topic – Data collection, data sharing, data science, open data, big data, data exploitation platforms Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/de478451-cba6-4402-8aef-72b2ca692033https://video.osgeo.org/w/qXD5Fvj9gsw6kpdouA358Nhttps://video.osgeo.org/lazy-static/thumbnails/c8c27d87-49bb-4f34-a931-12a05ee951d6.jpgFOSS4G 2021 - Deploying QGIS using command line options.Whether for your own use or deploying QGIS in a enterprise setting having knowledge of the command landline options is extremely useful. As well as giving a brief overview of the available command lines this talk will show how the command line options can be used to deploy QGIS silently within a Windows environment. This talk will give a brief summary of the command line options available to QGIS to open it with specific UI config and certain plugins already set for use. It will also give a demonstration of how these options can be used in a simple batch file to deploy QGIS within a windows environment Authors and Affiliations – Matt Travis Track – Software Topic – Software/Project development Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/ca201644-e35e-4bb3-8dc2-76c1a1cab4c4https://video.osgeo.org/w/gabo8XUVWNd1E5J6MyHR9rhttps://video.osgeo.org/lazy-static/thumbnails/15014f27-2c80-4a66-a419-9225521b8878.jpgFOSS4G 2021 - The State of STACThe SpatioTemporal Asset Catalog (STAC) specification has become an increasingly popular way of cataloging and searching for geospatial datasets in the cloud. STAC provides a standard way to define spatial (GeoJSON) location, temporal info and metadata important for search and discovery, along with references to the underlying data (assets). STAC objects link to each other, allowing groups to be created, exposed as catalogs, and crawled by indexers. Links also provide a way to track provenance by linking to source STAC Items used to derive new STAC Items. Developed in an open community over the last 4 years, STAC has now reached a stable 1.0.0 version. With a variety of extensions built on this core, an API spec compatible with OGC API Features, and an increasing open-source software ecosystem, STAC is an important precursor for cloud-native workflows, in-place analysis, data fusion, and scaling processing of large geospatial datasets. This talk will discuss the most recent developments in the STAC and STAC-API specifications, what the future holds for STAC, common STAC extensions, as well as a discussion of best practices for the creation and use of STAC. A brief overview of the most common software tools and catalogs will also be included. Authors and Affiliations – Hanson, Matthew (1) Holmes, Chris (2) (1) Element 84 (2) Planet Track – Use cases & applications Topic – Standards, interoperability, SDIs Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/7ac12bf8-dcb0-4bc8-b149-e0ac3076bd95https://video.osgeo.org/w/iouPcGD7J5uFnWvgiixfszhttps://video.osgeo.org/lazy-static/thumbnails/d10541ab-275e-4421-a177-3dfe4bdd9539.jpgFOSS4G 2021 - Towards the integration of authoritative and OSM geospatial datasets in support ...Towards the integration of authoritative and OSM geospatial datasets in support of the European strategy for data The European strategy for data [1] envisages the development of a European single market for data, able to ensure the free flow of data, including personal and non personal, across actors and sectors, to stimulate data-driven innovation and create value for the economy and society. The vision is to establish a common European data space based on domain-specific data spaces in strategic sectors such as environment, agriculture, industry, health and transportation. Policy-making has been widely recognised by the European Commission (e.g. [2]). In the geospatial domain, citizen-generated data is heavily shaping the evolution of traditional Spatial Data Infrastructures (SDIs) into modern geospatial data ecosystems [3], [4]. Hence, combination and integration of data from different sources—in particular authoritative and citizen-generated data—acquires primary importance. This study focuses on citizen-generated data from the OpenStreetMap (OSM) project. OSM, the most popular example of crowdsourced geographic information project, consists of an openly-licensed database of vector features—currently contributed by more than 1.6 million volunteers—representing any object with a physical location on the Earth’s surface. Authors and Affiliations – Alessandro Sarretta, National Research Council (CNR), Research Institute for Geo-Hydrological Protection (IRPI), Padova, Italy Marco Minghini, European Commission, Joint Research Centre (JRC), Ispra, Italy Track – Academic Topic – Academic Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/8ccf7a30-ef3a-41c3-80c7-f81691d178c5https://video.osgeo.org/w/6QTQZ3wfwWhrJakCB9TtJChttps://video.osgeo.org/lazy-static/thumbnails/689accad-2ae3-4c04-bb45-f9989891ef94.jpgFOSS4G 2021 - HYDRAFloods: an Open Source Tool for Flood MonitoringSatellite remote sensing is an effective approach to monitor floods over large areas, especially in regions where other information is lacking. But even so, challenges do remain. These include, but are not limited to, the required computation power and technical expertise to analyse this data. The HYDrologic Remote sensing Analysis for Floods (HYDRAFloods) tool presents a new scientific standard for surface water mapping. It can produce single sensor maps as well as daily data fused products into which all relevant sensors are combined. The system is under active development in SERVIR-Mekong and operational for near real time flood detection. HYDRAFloods embraces open science and combines relevant algorithms from literature with our own custom developments, published in open access journals. It uses cloud computing to facilitate data access and running at scale. The code is hosted on a repository with open source license. We’ll present the tool and its use cases. Please see the abstract above. Authors and Affiliations – Deltares Track – Transition to FOSS4G Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/2f515837-5f8b-4681-8db8-12964262d94chttps://video.osgeo.org/w/hB2Na3MrdpYUZv113ThBLZhttps://video.osgeo.org/lazy-static/thumbnails/ca256a52-c721-44af-934c-00ac5fee7148.jpgFOSS4G 2021 - Get Closer to the Action: Become a Partner in Local Climate ActionWhile the climate crisis is a global one, the actions we take to adapt to our new reality will be local / regional by necessity. Communities around the globe have varying levels of adaptive capacity and generally only the largest have the financial resources, human capital and political will to respond fully. For most, feasible solutions are hard to find and evaluate, and the funds required to implement them are beyond reach. What those communities need is skilled people that can interpret climate data, decision-ready analytics, and available resources to help them take on-the-ground action--unfortunately that type of work doesn’t happen in any public repo or open data lake. The White House is making addressing climate change equitably one of its highest priorities, as evidenced by the January 27th Executive Order (14008). In response, NOAA will be leading the charge to train a vast workforce to leverage existing climate data and tools--growing the community of resilience professionals to accelerate community action. In this session, I hope to challenge you to think about ways you can ally yourself with those closer to the action-- those making decisions about how to protect our people, property, and cultures for the next generation. The White House is calling for a government-wide response and encouraging everyone from all sectors to come to the table. I encourage you all to join them. Authors and Affiliations – Cahail, Jessica Azavea, Philadephia, PA USA Track – Use cases & applications Topic – FOSS4G for Sustainable Development Goals (SDG) Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/86765b71-e4f7-49bb-a55a-fb469a76850dhttps://video.osgeo.org/w/sQjNhjgyauU4q3b8EtMo9Nhttps://video.osgeo.org/lazy-static/thumbnails/d34fce4f-6477-40f2-8172-60718d6f2873.jpgFOSS4G 2021 - Linked data 101 for geospatialThere are a number of developments which bring more linked data into the world of the traditional geo data domain. And this is already happening all around us. Consider for example the introduction of json-ld output in pygeoapi and GeoServer, GeoJSON-ld support in Apache Fuseki, Dataset search via schema.org. So how can you best benefit from these developments? What are the challenges when linking these data communities. This presentation talks about linked data from a traditional tabular GEO perspective. It introduces some of the key principles of linked data, tools and challenges to convert (meta)data to triples, graph validation, and visualization of triples in a traditional map context. There are a number of developments which bring more linked data into the world of the traditional geo data domain. This is something that is already happening around us today. Consider for example the introduction of json-ld output in pygeoapi and GeoServer, GeoJSON-ld support in Apache Fuseki, Dataset search via schema.org. So how can you best benefit from these developments? This presentation talks about linked data from a GEO perspective. It introduces some of the key principles of linked data, tools and challenges to convert your data to triples, graphs and visualization of triples in a traditional map context. Read more at: - https://geojson.org/geojson-ld - https://jena.apache.org/documentation/geosparql/ - https://schema.org/docs/data-and-datasets.html - https://docs.geoserver.org/stable/en/user/community/json-ld - http://www.geosparql.org/ Authors and Affiliations – Paul van Genuchten (ISRIC.org, the Netherlands) Marco Neumann (Lotico, US/EU) Requirements for the Attendees – This is an introduction to spatial linked data, no technical requirements. Track – Open data Topic – Standards, interoperability, SDIs Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/d94ce409-819c-460e-9735-c3603958a54ehttps://video.osgeo.org/w/krSMFP7JHWpEYwhoGVYenUhttps://video.osgeo.org/lazy-static/thumbnails/44be4f9f-bf78-4ea5-87f6-d71accda468c.jpgFOSS4G 2021 - Voice Indoor Map Service for Visually Impaired Persons in UNWith recent progress of indoor positioning technologies and mobile devices, it becomes possible to provide indoor map services to visually impaired people and some applications have been developed and serviced for limited cases. We are developing a voice indoor map service for visually impaired people (VIP) as an open source software. And the UN Headquarter building complex in NYC has been selected as a testbed site for the proof of concept since 2019. This paper describes the details of the testbed project for the implementation and deployment. The goal of this project, called VIM (Voice Indoor Maps) is to implement a prototype of Voice Indoor Map service at the UN HQ buildings in NYC. This VIM service provides indoor map information to Visually Impaired People (VIP) with total visual impairment. The indoor map information is given as verbal instructions, which include POIs about nearby landmarks and safety and turn-by-turn instructions for indoor navigation from point A (or the current location) to B in the indoor space. The service environment is based on smart phones (Android and iOS) and additional mobile devices if necessary. The architecture for this service consists of two parts – VIM service layer and Indoor Positioning Solution (IPS) layer. VIM service layer is separated from IPS because most IPS are proprietary and the performance and accuracy of each IPS depends on site that no one single IPS could work for all cases. Actually, a hybrid IPS is used for this project, it can be replaced with any other IPS. It is not practical to employ one specific IPS for the VIM. While we could assume IPS as an open source or a proprietary solution, the VIM service layer is developed as an open source software and communicates with IPS through a predefined interface protocol. The source code of VIM application layer is available at https://github.com/STEMLab/VIM. The VIM service receives indoor maps of a specific building or indoor space in IndoorGML, which is an O...https://video.osgeo.org/videos/embed/9d7a871f-376c-45f6-b777-ff06e35c8d5ahttps://video.osgeo.org/w/riZZmJnF74L3nfU5Rya1iohttps://video.osgeo.org/lazy-static/thumbnails/1075b2ce-68dd-4362-8bfd-623de625eba8.jpgFOSS4G 2021 - Software, data and governance: activating FOSS4G and open data for health in....Software, data and governance: activating FOSS4G and open data for health in developing countries Data does not provoke development. Software does not provoke development. But both can help public administrations elaborate a clearer vision of specific aspects of the realities they have to deal with. In many developing countries, however, data is scarce and difficult to come by and access to software is limited through licencing costs, but also through lack of training. Based on the experience at Bluesquare a Belgian global data company focused on digital health in low- and middle-income countries around the globe, the author presents an overview of how different components in the FOSS4G and open data world can provide tools and materials for the potential improvement of health services on the ground such as more accessible health care, better planning of investments, increased cooperation between different programs, etc. The talk will provide an overview of the current global scene related to health facility registries as well as more overarching geo-registries, which include data on population location and on administrative contours. It will provide a series of examples of current efforts and practices, highlight some of the new data sources being leveraged, including new satellite-based settlement and population layers, and elaborate on ongoing attempts to provide more routine, low-cost data collection in sometimes difficult, generally not well connected environments as well as detailed examples of current ongoing efforts of Bluesquare in countries such as DRC and Niger (Carte Sanitaire). As data governance, sharing and opening are recurring issues in many countries, Bluesquare also works with public administrations on sharing and opening their data. This goes from providing web interfaces from where data can directly be downloaded to a dedicated data sharing and analysis platform, allowing controlled access in the context of more limited sharing agreements...https://video.osgeo.org/videos/embed/ccf7d8f7-dd51-476e-966d-706d7ff317f8https://video.osgeo.org/w/8fS61uAGdLTyNQN4BCGs61https://video.osgeo.org/lazy-static/thumbnails/f79f7351-2dd9-483b-a9f1-dd2b2b29d3a6.jpgFOSS4G 2021 - State Geographic Information System of the State of Tocantins (Brazil)During this presentation, we will talk about the Geographic Information System of the State of Tocantins (Brazil). This GIS has been developed and implemented for the storage, organization and sharing of geospatial data. It includes the development of a multiuser system for the storage, visualization, analysis and download of geospatial data / information and statistics, integrating several repositories of geographic data. This project deals with the development and implementation of an information system for the storage, organization and sharing of geospatial data produced by the State of Tocantins Finance and Planning Secretariat (SEFAZ-TO). The project includes the development of a multiuser system for the storage, visualization, analysis and availability (download) of geospatial data / information and statistics, integrating several repositories of geographic data. The State of Tocantins opted for use of open source software, based on the gvSIG Online platform, for the implementation of Spatial Data Infrastructures, which integrates components such as the GeoServer map server, the WebGIS OpenLayers client and the PostgreSQL / PostGIS spatial database. The system is adaptable to any type of computer or mobile device connected to internet (responsive) and compatible with the most modern versions of internet browsers. The software architecture allows the data visualization in a distributed way, and in different projections and coordinate systems. These data can be available on Web services or direct access, through URL stored in the metadata catalog. In addition, GeoNetwork has been used for the metadata structure, sharing reliable information about the source data. In order to provide greater geostatistical functionality, a series of tools have been developed, allowing the visualization and download of different types of graphs (bars, circles and lines). A relevant part of the project was the cataloging and registration of geospatial and statistical data, orbi...https://video.osgeo.org/videos/embed/3ac3400d-e432-4f8d-a0d5-f6aecdf501eahttps://video.osgeo.org/w/nb1qs2Vvw3qVFqePdptjxmhttps://video.osgeo.org/lazy-static/thumbnails/fd7f3d26-b467-47b1-928b-2411930653b6.jpgFOSS4G 2021 - mapsf: a New R Package for Thematic MappingThe R software spatial ecosystem is rich, dynamic and mature and several R packages allow to leverage the power of major FOSS libraries (like GDAL,GEOS or PROJ) for spatial data management. mapsf takes advantage of this ecosysem to create and integrate thematic maps in R workflows. It helps designing various cartographic representations such as proportional symbols, choropleth or typology maps. It also offers several functions to display layout elements improving the graphic presentation of maps (e.g. scale bar, north arrow, title, labels). This talk will present the main features of the package and demonstrate how to use it to design high quality maps. mapsf [1] helps designing various cartographic representations such as proportional symbols, choropleth or typology maps. It also offers several functions to display layout elements improving the graphic presentation of maps. The aim of mapsf is to obtain thematic maps with the visual quality of those built with a classical mapping or GIS software while being lightweight, versatile and user-friendly. To achieve this goal, the package takes advantage of the features offered by sf [2] and provides a limited number of simple mapping functions. mapsf is the successor of cartography [3], it offers the same core features but it is simpler and more robust. Unlike other popular cartographic packages, it does not use grammar of graphics, it depends on a limited number of packages and displays georeferenced plots using base R graphics. The main function of the package, mf_map(), gives access to 9 map types: base maps, proportional or graduated symbols, choropleth maps, typology maps and various combinations of symbology. Many parameters are available to fine tune the cartographic representations. These parameters are the common ones found in GIS and automatic cartography tools (e.g. classification, color palettes, symbols sizes, legend layout...). Some additional functions are dedicated to layout design (graphic themes, ...https://video.osgeo.org/videos/embed/ab759bfd-9354-44d7-a931-e1c79269160ahttps://video.osgeo.org/w/gG14kAmbDfFxEMQawhpbYQhttps://video.osgeo.org/lazy-static/thumbnails/96ad66a9-2d67-4a58-8775-44d80dbc0926.jpgFOSS4G 2021 - Delivering open source solutions to humanitarian organizations and governments in..Delivering open source solutions to humanitarian organizations and governments in low resource settings to plan for, monitor, and respond to climate-driven disasters The rapid growth in Earth Observation data to monitor climate hazards has created new opportunities to leverage technology and data science to reduce the risk of droughts, floods, and tropical storms. But there are still significant barriers in accessing and using Earth Observation data operationally, especially in countries with limited resources - which are also the most affected by climate change. To help overcome some of these challenges, the UN World Food Program has developed an open source software solution called PRISM, which simplifies the process for creating an interactive web-based mapping application built on React that can visualize and analyze climate hazard data published through OGC standard web services. During this talk, we’ll present the problem we aimed to solve, the technology choices we’ve made, and our rationale for opting to go open source for this solution. The UN World Food Program with technical support from Ovio (https://ovio.org/), has developed an source technology solution called PRISM - that provides an intuitive map-based interface to prepare for, monitor, and respond to natural hazards. PRISM has been launched in a handful of countries in Asia and new deployments are underway in Africa as well. When coupled with WFP’s forthcoming deployment of another open source technology - the Open Data Cube - PRISM provides an intuitive tool to monitor climate risks without the need for programming or remote sensing skills. We seek to make PRISM a collaborative project and to engage the broader open source community to further improve the system and to create a support ecosystem for new deployments beyond those led by WFP. Authors and Affiliations – Wadhwa, Amit (World Food Programme); Boucher, Eric (Ovio.org); Track – Use cases & applications Topic – FOSS4G implementation...https://video.osgeo.org/videos/embed/7f0eddbd-0053-4147-89df-0992f99750e0https://video.osgeo.org/w/tc3QPVpT5uv6AaJajx6MF8https://video.osgeo.org/lazy-static/thumbnails/3351f269-e7e9-4dc4-871f-b48eb710f861.jpgFOSS4G 2021 - Introduction to Big Data Storage with LocationTech GeoMesaMany of the Apache projects serving the big data space do not come with out of the box support for geospatial data types like points, lines, and polygons. LocationTech GeoMesa has provided add-on support to Apache database projects such as Accumulo, Cassandra, HBase, and Redis crafting spatial and spatio-temporal keys. In addition to distributed databases, GeoMesa has enables spatial storage in many of the popular Apache file format projects such as Arrow, Avro, Orc, and Parquet. This talk will review the basics of big geo data persistence either in a data lake or in a database, and provide an overview of the benefits (and limitations) of each technology. Many of the Apache projects serving the big data space do not come with out of the box support for geospatial data types like points, lines, and polygons. LocationTech GeoMesa has provided add-on support to Apache database projects such as Accumulo, Cassandra, HBase, and Redis crafting spatial and spatio-temporal keys. In addition to distributed databases, GeoMesa has enables spatial storage in many of the popular Apache file format projects such as Arrow, Avro, Orc, and Parquet. This talk will review the basics of big geo data persistence either in a data lake or in a database, and provide an overview of the benefits (and limitations) of each technology. Authors and Affiliations – Jim Hughes, CCRi Track – Software Topic – Data collection, data sharing, data science, open data, big data, data exploitation platforms Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/dc31ad37-a8cd-4f8f-91e4-cc64446c5f69https://video.osgeo.org/w/7cZjAxP9DJMTXy9JUndVvLhttps://video.osgeo.org/lazy-static/thumbnails/60190ec9-7392-4db8-9de7-7d2ec1bf4637.jpgFOSS4G 2021 - Easily publish your QGIS projects on the web with QWC2QWC2 (QGIS Web Client 2) is the official web application of QGIS, that allows you to publish your projects with the same rendering, thanks to QGIS Server. The environment is composed of a front-end framework and several server-side micro-services which enhance the basic functionalities of QWC2. This talk aims at introducing this application with some micro-services and to show how easy it is to publish your own QGIS projects on the web, either with a web administration interface, or with a QGIS plugin. It will also be an opportunity to discover the last new features that have been developed in the past year and ideas for future improvements. QWC2 (QGIS Web Client 2) is the official web application of QGIS, that allows you to publish your projects with the same rendering, thanks to QGIS Server. The environment is composed of a front-end framework and several server-side micro-services which enhance the basic functionalities of QWC2. This talk aims at introducing this application with some micro-services and to show how easy it is to publish your own QGIS projects on the web, either with a web administration interface, or with a QGIS plugin. It will also be an opportunity to discover the last new features that have been developed in the past year and ideas for future improvements. https://github.com/qgis/qwc2 https://github.com/qgis/qwc2-demo-app https://github.com/qwc-services Authors and Affiliations – Benoît Blanc (1) (1) Oslandia, France Track – Software Topic – Software status / state of the art Level – 3 - Medium. Advanced knowledge is recommended. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/324356a8-da3c-4f75-a173-369e39347462https://video.osgeo.org/w/2yeDQdoo57xz4MM77z5pB9https://video.osgeo.org/lazy-static/thumbnails/8b157712-1a8e-4a9b-8f45-c85edc01090c.jpgFOSS4G 2021 - State of Oskari (for developers)Oskari (www.oskari.org) is used world wide to provide map applications with integrations to spatial and statistical data and service APIs. Oskari can be utilized as a Web GIS or as embedded maps controllable with a simple API. This presentation will go through the new features introduced in Oskari during 2020-2021. The focus will be on functionalities from developer perspective like experiences for our major version upgrade to 2.0. There will be a separate presentation about developments in Oskari related to end user experience. You can try the features of vanilla Oskari in our demo environment (demo.oskari.org). The presentation will cover the most interesting changes to Oskari from developer perspective after the last FOSS4G. How we handled reseting db-migrations for the 2.0, how do we feel about the changes to repository structure and building with Webpack today, how did we implement visualization of scattered timeseries etc Links to Oskari resources: - https://oskari.org/ - https://github.com/oskariorg/oskari-frontend/blob/master/ReleaseNotes.md - https://github.com/oskariorg/oskari-server/blob/master/ReleaseNotes.md The last presentation at FOSS4G Bucharest was at the time of 1.52 release. Authors and Affiliations – Sami Mäkinen, National Land Survey of Finland Track – Software Topic – Software status / state of the art Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/0c995a51-80e3-40b1-a3c3-43bb9de0a4a2https://video.osgeo.org/w/r5DwtxJzMi4bAkoxYV8ZS8https://video.osgeo.org/lazy-static/thumbnails/14de5b71-e779-4f06-a1b2-70b0f95bbcdc.jpgFOSS4G 2021 - A Vector Analytical Framework For Population ModelingHigh resolution mapping of human populations is often achieved through the disaggregation of aggregate counts (e.g. census tabulations) from tabulation areas (source zones) to smaller areas (target zones), with the aid of ancillary spatial data characterizing the built environment (e.g. land cover/use, building footprints) with some known or presumed functional relationship with population density. Source zones and built environment data, found in a variety of raster/vector formats and resolutions, are often converted to a common raster resolution for analysis. This process is computationally efficient at coarse resolutions and existing software and methods facilitate modeling for those with an understanding of raster-based spatial analysis. This approach has several shortcomings due to limitations of raster data formats. When compared to vectors, the other common geospatial data format, rasters are less precise, hold less information, and are less conducive to smaller area constructs, such as building outlines and parcels, and are less accessible to the broader scientific community because of the special handling required. Given these shortcomings, we propose a vector analytical framework for population modeling. The framework is designed to combine all of the lines defining the input layers so that fields enclosed by those lines (i.e. polygons) are uniformly attributable to each of the input layers. This richer data stack allows for the development of models with more complex logic that are straightforward to implement and explain, as well as increasing the accessibility of modeled estimates and intermediate layers to a broader audience. Authors and Affiliations – Moehl, Jessica (1) Weber, Eric (1) McKee, Jacob (1) (1) Oak Ridge National Laboratory Track – Academic Topic – Academic Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/cb1a9144-419c-42f6-9713-5430a4de1e87https://video.osgeo.org/w/iwN16yHwRiMuQeqBjh1Lschttps://video.osgeo.org/lazy-static/thumbnails/a0e12427-f6c4-469e-b091-cace6563f24d.jpgFOSS4G 2021 - Satellite-based Earth observations and numerical modeling for improved detection....Satellite-based Earth observations and numerical modeling for improved detection, assessment and forecast of natural hazards Natural hazards typically strike with little to no warning, frequently leading to considerable economic losses and fatalities worldwide. The scientific community anticipates that a changing climate will exacerbate the outcomes of these phenomena. Heavy rainfall that usually triggers landslides, for example, is already shifting in magnitude, frequency, and location. Open-source Earth Observations, machine learning, and other technological advances have proven useful for monitoring, studying, and developing methods that can help predict and evaluate hazard events at various scales. These methods have increasingly made it easier to sense spatial and temporal changes at local and regional scales with enhanced resolution and accuracy. In this talk, Dr. Cullen, an active member of the GEO programme, will discuss how Open-source data can help determine rainfall-triggered shallow landslides risk at large scales. Please see the abstract above. Authors and Affiliations – City University of New York/ GEO Track – Transition to FOSS4G Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/8df80514-a6d0-41cf-99fd-c1b736aeca1fhttps://video.osgeo.org/w/dYF9qvFRidXh1xmBVMoNa9https://video.osgeo.org/lazy-static/thumbnails/7fc188e8-fb8c-49aa-80e6-0afc02347bca.jpgFOSS4G 2021 - Addressing the Last Mile Delivery Challenge in Environmental DataPartners throughout the environmental world often struggle with integrating the right data, information, and analysis tools into their workflows. This happens for a variety of reasons, but often can be reduced to the fact that they are under-resourced to make use of new opportunities. There are increasingly sophisticated tools and datasets that are being made available, however the uptake of these capabilities, especially to inform local-scale decision making, is lagging within the environmental sector. To overcome this challenge, there is a need for partners to play an integrating role in the environmental world; focusing on ensuring local partners are aware of the emerging resources that now exist to address their challenges, have access to the software and technology needed to seamlessly incorporate it in their workflows, and understand their unique challenges without relying on a "one size fits all" approach. This session will focus on lessons learned from the work of the Center for Geospatial Analysis working with partners of all sizes to help identify pathways that deliver real improvements to decision making by integrating data and technology. Additionally, the session will highlight remaining large scale "questions" that deserve additional focus from the FOSS4G community about how new efforts can be focused on solving these challenges. Partners throughout the environmental world often struggle with integrating the right data, information, and analysis tools into their workflows. This happens for a variety of reasons, but often can be reduced to the fact that they are under-resourced to make use of new opportunities. There are increasingly sophisticated tools and datasets that are being made available, however the uptake of these capabilities, especially to inform local-scale decision making, is lagging within the environmental sector. To overcome this challenge, there is a need for partners to play an integrating role in the environmental world; focus...https://video.osgeo.org/videos/embed/6917706b-4db4-450c-833f-c8a90f5b67aahttps://video.osgeo.org/w/eL4nF4BUEQcGHoWjQeWTDYhttps://video.osgeo.org/lazy-static/thumbnails/c047cd1e-d1d3-4d6e-9e4b-7540f65b538c.jpgFOSS4G 2021 - Creating Spatial REST APIs in 25 minutes with GeoDjangoThis talk explains the easy and effective way to develop REST API within a couple of minutes using GeoDjango and Django Rest Framework. These APIs will use filtering such as Distance and Radius or BBOX, etc. to query and return the result in GeoJSON format. GeoDjango is an amazing plugin built on top of a super fast and stable Python framework Django. In this talk, we'll walk through the packages such as 1. Django Rest Framework 2. Django Rest Framework GIS 3. Geodjango 4. Django Filters In order to understand how to create a standard API which will take several parameters or body as an input to GET, PUT, POST, DELETE spatial data. We'll be developing spatial queries on top of normal text-based queries and we'll get the data in GeoJSON format which can be utilized directly by mapping JS libraries such as OpenLayers, Leaflet.js, etc. Authors and Affiliations – Krishna Lodha(1) Requirements for the Attendees – Basic knowledge of django framework Track – Use cases & applications Topic – Software/Project development Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/6f6d9b89-59b4-462c-b520-e6e59ed8e286https://video.osgeo.org/w/tfqZCULG5oHd1mvyC9qCAAhttps://video.osgeo.org/lazy-static/thumbnails/7e9e983d-a79d-4cfc-95ca-5bf195144b05.jpgFOSS4G 2021 - CityJSON: 3D city models for everyoneThis is a presentation about CityJSON and the variety of open source tools that are available around it. CityJSON is a file format that can be used to exchange 3D city models. The talk will review certain applications that can be based on CityJSON but will mainly focus mainly on ninja, the QGIS plugin and the Blender plugin. This is a presentation about CityJSON and the variety of open source tools that are available around it. CityJSON is a file format that can be used to exchange 3D city models. The talk will focus mainly on ninja, the QGIS plugin and the Blender plugin and some details about their developments and our plans for them will be shown. A brief overview of all software options will be presented and the suitability to different applications will be investigated. Also, certain other state-of-the-art developments regarding CityJSON will be mentioned (e.g. dissemination through OGC API Features, serving data through 3D Tiles and versioning of CityJSON models). All software that supports CityJSON is listed here. This project has received funding from the European Research Council (ERC) under the European Unions Horizon2020 Research & Innovation Programme (grant agreement no. 677312 UMnD: Urban modelling in higher dimensions). Authors and Affiliations – Stelios Vitalis (1) (1) 3D geoinformation group, TU Delft, the Netherlands Track – Use cases & applications Topic – Software status / state of the art Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/dcaa8f3d-961a-4ebf-91cd-37a76c91ec26https://video.osgeo.org/w/t1mpG54HaSzr5PRDnq2r3zhttps://video.osgeo.org/lazy-static/thumbnails/a862c2fc-0a0c-47ab-bd99-4591be9c2de8.jpgFOSS4G 2021 - Experiences of using FOSS4G in the university classroom during the COVID-19 pandemicThe COVID-9 pandemic has been a massive challenge for all of society. Within education the institutional response to the pandemic has been crucial to how education continues to function and deliver the highest quality teaching and learning opportunities for all students. For everyone, teachers and students, working from home far away from the high quality facilities of our universities, colleges and schools is one of the major challenges. In this talk I reflect on the last 18 months of teaching and learning within the University environment and how Free and Open Source Software For Geomatics (FOSS4G) has responded to the many challenges of this 'new normal' in education. In particular, I recount my experiences of teaching subjects such as Spatial Databases, Web-based Mapping and Mobile Application Development whilst also supervising student-led projects at both undergraduate and postgraduate level all of which involve the use of FOSS4G and Open Data. With my talk I shall outline where FOSS4G delivered major advantages in the fully online teaching environment including: * A community of technical and educational support available around the world. This was particularly important as many students were studying at home in their home country and not easily able to access institutional support. The international community of FOSS4G allowed students to access technical help and support in their native language. * Portability and compatibility with a very wide range of computers, laptops and devices. Away from the homogeneous computing environment offered by university or school computing laboratories students used a wide variety of devices and FOSS4G software was available for practically all of these. * Offering a FOSS4G and Open Data approach in classes means we avoid any messy issues around licenses and contracts. Students have enough issues to deal with without software and data adding to their daily stress. * Many students reported needing to use different compute...https://video.osgeo.org/videos/embed/dab3522b-e071-4d7c-b681-2ef7e5ac2fa1https://video.osgeo.org/w/1gyZ7zqTmu4MnTqoohSopHhttps://video.osgeo.org/lazy-static/thumbnails/3cdd68fa-2844-473f-a87a-8ac8b673ac4d.jpgFOSS4G 2021 - Adding Quality Assurance to open source projects: experiences from GeoTools..Adding Quality Assurance to open source projects: experiences from GeoTools, GeoWebCache an GeoServer Working in large open source projects, can be challenging, especially trying to keep everyone on the same page, and generating code that has enough similarities to allow shared maintenance. The advent of platforms like GitHub also made it easier for one time contributors to participate, generating in the process a fair amoumt of “review stress” in the project maintainers. The presentations covers automated QA tools as a way to make code more uniform, avoid introduction of some types of technical debt, and reduce review efforts on pull requests, while also raising the level of the review. Working in large open source projects, with several people contributing to the code, can be challenging, especially trying to keep everyone on the same page, and generating code that has enough similarities to allow shared maintenance. The advent of platforms like GitHub also made it easier for one time contributors to donate small and large bits of code to the platform, generating in the process a fair aout of “review stress” in the project maintainers. The presentation covers how pull request checks, formatting and static analysis tools have been used to streamline basic checks in the code: Testing the code on a variety of operating systems, Java versions and integrations with data sources before the code can be contributed to the project. Enforcing common formatting. Adding basic checks with CheckStyle. Locating obvious errors, leftover code, basic optimization issues using the Java compiler linting, ErrorProne, PMD and SpotBugs. Improving readability of the code as well as enforcing best practices and common approaches with the same tools. Effects on the dynamics of code reviews. The presentation will cover all those aspects, with examples from the author’s experience with the GeoTools, GeoWebCache and GeoServer projects. Authors and Affiliations – Andrea Aime (1) (1...https://video.osgeo.org/videos/embed/022c7bee-1b52-444b-974e-416f93521587https://video.osgeo.org/w/hWhkijdffJGqezYENrZKSohttps://video.osgeo.org/lazy-static/thumbnails/4733b06c-c6aa-43c5-a6cf-8872cdf3580f.jpgFOSS4G 2021 Using the ohsome framework to develop an OSM Confidence Index to support humanitarianUsing the ohsome framework to develop an OSM Confidence Index to support humanitarian mapping Alongside the OpenStreetMap community, the users of OSM data are manifold: from academics to businesses and humanitarian actors. The OSM community has over 1 million active contributors, around 50,000 of which are active each month. Four out of the "big five" mega-corporations are already using OSM data in their products and are actively contributing to the OSM data set. OpenStreetMap data is used more and more widely, which means that data quality and fitness-for-purpose analyses are becoming more and more relevant. Many scientific papers have been written about OSM data quality, but most only apply methods to few small regions, and results are available for the single point in time when the papers are published. Results are often not easy to replicate, e.g. to check the transferability of a method to other regions. Ideally, one would like to calculate data quality measures on a global context in a fine spatial (and temporal) resolution. This talk will present how HeiGIT and MapAction are addressing OSM data quality questions with the open source ohsome platform to perform in depth data analysis of spatio-temporal statistics of the OSM geo data set. The Ohsome Quality analysT (short OQT) is the name of a new software implemented by HeiGIT that is based on the ohsome framework. Its main purpose is to compute quality estimations on OpenStreetMap (OSM) data. Any end user such as humanitarian organisations, public administrations, as well as researchers or any other institution or party interested in OSM quality can use the OQT to get hints on the quality of OSM data for their specific region and use case. The original idea for the OQT developed out of a simple use case: Having a one-click tool that can give information on the quality of the OSM data for a specific purpose. Together with MapAction we are currently working on an OSM Confidence Index within OQT, which sh...https://video.osgeo.org/videos/embed/89267292-418f-43b9-9e94-e8ddb426e92ehttps://video.osgeo.org/w/sA9gjCWoKrxzTVM7xadBrAhttps://video.osgeo.org/lazy-static/thumbnails/bd69a51f-ca68-4b2b-b6c7-dbcdbed8dd2c.jpgFOSS4G 2021 - Geographic Mapping of Business DataWhat are the possibilities to show business data on a cartographic map in a way that insight on sales information of a company and its potentials can be gained? How is it possible to visualize this complex combination of data in such a way that the usability is maximised? These are the questions we faced while answering a customer request. The result is a flexible business intelligence application based on open source technologies. Based on a live application, we present an example which sets business data into a geographical context. To achieve this, the tool starts off with business data which is linked to geographic POIs with sales points. Through this link, the data is aggregated within different geographic regions and can be visualized cartographically. To further improve the usability of the application and to underline specific results, tables, plots and charts are implemented. OpenLayers is used for the implementation of the cartographic elements. The plots and charts are based on D3, implemented through the d3-helper library. The d3-helper library is an open source library which originated through extracting reusable and stand-alone code used for the plots and charts from this application. In this presentation, we give an example of how cartographic and non-cartographic data are used and combined within an application. With the use of open source technologies for the data visualization, the end product is a stand-alone business intelligence application. Authors and Affiliations – Marion Baumgartner Benjamin Gerber Track – Use cases & applications Topic – Data visualization: spatial analysis, manipulation and visualization Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/d751fc7e-cbb6-44b6-aed0-f0a6d47a8c88https://video.osgeo.org/w/fhEUdNeZPmGPEHZ5FaDkcahttps://video.osgeo.org/lazy-static/thumbnails/0d1f1b1a-3551-4ab2-ad6f-dea6e2be3882.jpgFOSS4G 2021 - Vector tile basemaps for your QGIS projectQGIS added support for the native loading of vector tiles from QGIS 3.14. The easiest way to load them is via MapTiler plugin. The plugin allows anybody to easily load map data of the entire planet (from OpenStreetMap project), with details down to the street level from Cloud or any other URL. Plugin is an open-source project with code available at GitHub repository and open to any contribution from developers and users. The plugin offers maps of the entire world in vector or raster tiles, but can also open maps from any other URL. You can load high-resolution aerial imagery, hillshading and contour lines for outdoor maps or official government open data from various countries. A ready-to-use list of beautiful map styles is available to QGIS users. Those who prefer customized maps can make their own map design in a few clicks using the Customize tool. Users can set their own colors, fonts, or choose the language of map labels. Use the power of QGIS and reproject, rotate and export vector tiles to various formats (including PDF, SVG or DWG) or use Print Composer to create beautiful high-detailed maps to fit your needs. Authors and Affiliations – Adam Laza (1) (1) MapTiler, Switzerland Requirements for the Attendees – QGIS 3.14 and higher installed Basic skill with QGIS Web browser Text editor Repo: https://github.com/maptiler/qgis-maptiler-plugin Track – Software Topic – Data visualization: spatial analysis, manipulation and visualization Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/73b3d093-d8a9-4650-ade4-86af45c4956bhttps://video.osgeo.org/w/wPZSPAJa1HSbyFoY9hhvu7https://video.osgeo.org/lazy-static/thumbnails/720c6130-c0ee-432e-b97d-e2a01cfdf5a5.jpgFOSS4G 2021 - OpenLayers Feature FrenzyA decade ago, OpenLayers was the number one choice for a web mapping library. With the rewrite in 2012 and the arising competition of Leaflet and Mapbox GL JS, there was a phase when the project lost popularity. Today, it has found its niche as a full-featured, flexible and high-performance geospatial JavaScript library that users can count on for the long haul, especially when their mapping needs get more complex. This talk will provide you with a tour of the latest features in the library, including daring live demonstrations. We will present our recent and ongoing work on adding new features and making the library more fun to work with. Whether you're a developer or decision maker, come to this talk to learn about the current status of OpenLayers, and see what's in store for the future. Authors and Affiliations – Hocevar, Andreas - ahocevar geospatial Schaub, Tim - Planet Requirements for the Attendees – Basic knowledge of web mapping concepts is beneficial, but not required to enjoy this talk Track – Software Topic – Software status / state of the art Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/f9a5c8d3-7496-4dc7-b6a3-d44bb68377f2https://video.osgeo.org/w/pAHYg6siebCc5xrA6BsMFnhttps://video.osgeo.org/lazy-static/thumbnails/a1e9c5d8-bc30-4d07-932c-a460e1a2ab1a.jpgFOSS4G 2021 - Design and development of a GIS-based platform using open source components for ....Design and development of a GIS-based platform using open source components for monitoring, maintenance and management of road network: the case study of Cyprus Geographical Information Systems (GIS) technologies, consist of an important tool for transportation, especially for applications related to route planning, maintenance, asset management and decision support. The integration of multiple functionalities within one environment, has cause organisations related to transportation to adopt GIS technologies within their workflow. Furthermore, the adoption of methodologies for monitoring transportation networks or optimisation of maintaining transport-related infrastructure, from a geographical perspective is crucial to deploy or utilize resources efficiently and cost-effective. Under this perspective, the University of Cyprus, through the KIOS Research and Innovation Centre of Excellence (KIOS CoE), in cooperation with the Public Works Department (PWD) of the Ministry of Transport, Communications and Works, is undertaking research activities on Intelligent Transport Systems. Specifically, an integrated GI-based platform called “GNOSIS” is developed to collect, store, analyse, manage and disseminate data regarding the Cypriot transport network. The user interface of the developed platform consists of three main components: Desktop application, Web Portal and a cross-platform Mobile application. The purpose of this paper is to describe a GI-based system of PWD, where the design and implementation was built using open-source components. Furthermore, a brief description of both desktop and mobile application follows. The desktop application was developed to assist the PWD to increase their efficiency and achieve their goals related to the European Digital Strategy by using GIS technologies to take reliable and accurate decisions related to road network monitoring, maintenance and management. Moreover, the mobile application is targeting to assist field workers as ...https://video.osgeo.org/videos/embed/bf1b57a0-913c-49d6-9beb-677e40c0439fhttps://video.osgeo.org/w/cGU2FNUb3xJSsXKGjFzTRqhttps://video.osgeo.org/lazy-static/thumbnails/85e7a60a-6c48-4195-b8d7-50bdd7ed12c4.jpgFOSS2021 - Optical and Microwave Satellite Data to Evaluate the Disaster Risk in the HimalayaThe snow and glaciers in the Himalayan region are very sensitive to the climate change. The cause of the climate change is the long-range transport of dust and outflow of the anthropogenic emissions from the Indo-Gangetic Plains that reach over the Himalayan region. In the last three decades, the population in the Indo-Gangetic Plains have increased that resulted greenhouse emissions over the Himalayan region. The aerosol concentrations have enhanced the melting of snow/glaciers over the Himalayan region. Further, the biomass burning in the Himalayan region is routinely done by the people living in the region, and frequency of forest fires in the lower Himalaya is increasing due to climate change. The satellite data have shown the reduction of spectral reflectance and corresponding changes in backscattering and brightness temperature, that show the dynamic changes in the surface, thickness of the snow/glaciers and characteristics. Further, the Atmospheric Infrared Sounder (AIRS) provide information about the meteorological parameters at the surface and at different pressure levels. Efforts are being made to launch several satellite missions with high spatial and temporal resolutions. The deadly, Chamoli disaster of 7 February 2021 in the Himalaya, is an eye opening for all of us. In this talk, an integrated approach to combine seismic, geophysical and multi satellite optical and microwave data to study the dynamic nature and to get an early signal about changes in surface, snow and glaciers covers that will help us to evaluate the risk of snow avalanches, rockslides, landslides and glacial lake outburst flood (GOLF) in the Himalayan region which will help us to avoid loss of lives. Please see the abstract above. Authors and Affiliations – Chapman University, Orange, CA, US 92866, USA Track – Transition to FOSS4G Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate...https://video.osgeo.org/videos/embed/5eca5711-e29f-479c-97a5-6862048debb6https://video.osgeo.org/w/djDzDby4o1NGdvizi5XqHihttps://video.osgeo.org/lazy-static/thumbnails/dc2f6a4e-9c06-486c-99a0-01dade84e0d4.jpgFOSS4G 2021 - Open Source ScienceThe core tools of geospatial science (data, software, and computers) are undergoing a rapid and historic evolution, changing what questions scientists ask and how they find answers. This shift is fueled by developments in the open source software community. The open source ecosystem now supports and deeply influences how science is accomplished and thought about. Advanced open source software tools are enabling new data formats that are optimized for cloud storage enabling rapid analysis of multi-petabyte datasets. Open source cloud-based data science platforms, accessed through a web-browser window, are enabling advanced, collaborative, interdisciplinary science to be performed wherever scientists can connect to the internet. Increasing amounts of data and computational power in the cloud are unlocking new approaches for data-driven discovery. For the first time, it is truly feasible for geospatial and other scientists to bring their analysis to the data without specialized cloud computing knowledge. Practically, for scientists, the effect of these changes is to vastly shrink the amount of time spent acquiring and processing data, freeing up more time for science. This shift in paradigm is lowering the threshold for entry, expanding the science community, and increasing opportunities for collaboration, while promoting scientific innovation, transparency, and reproducibility. These changes are increasing the speed of science, broadening the possibilities of what questions science can answer, and expanding participation in science. Authors and Affiliations – C. L. Gentemann (1), Holdgraf, C. (2,3), Abernathey, R. (2,4), Crichton, D. (5), Colliander, J. (2,6,7), Kearns, E.J. (8), Panda, Y. (2), Signell, R.P. (9) 1 Farallon Institute, Petaluma, CA 2 2i2c, Berkeley, CA 3 International Computer Science Institute, Berkeley, CA 4 Lamont Doherty Earth Observatory of Columbia University, Palisades, NY 5 Jet Propulsion Laboratory, California Institute of Technology, Pasa...https://video.osgeo.org/videos/embed/63c83617-0aa8-47da-a895-0365b50fccf3https://video.osgeo.org/w/a7WksDzgLRWJBSkaUcQ9v8https://video.osgeo.org/lazy-static/thumbnails/a6df3a66-807f-42a0-8b53-c26f208b752b.jpgFOSS4G 2021 - Algorithm Talk: JSON-to-Code CompressionThis talk walks through a new algorithm for compressing JSON data, including GeoJSON. The JSON-to-Code algorithm compresses JSON data by converting it using recursive variable assignment into valid code that generates the JSON data. No prior coding experience required as the talk is at a high-level. This talk walks through a new algorithm for compressing JSON data, including GeoJSON. The JSON-to-Code algorithm compresses JSON data by converting it using recursive variable assignment into valid code that generates the JSON data. No prior coding experience required as the talk is at a high-level. Authors and Affiliations – Daniel J. Dufour GeoSurge, LLC Track – Software Topic – Software/Project development Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/49da322d-777b-4d6b-8f9c-d205151bf329https://video.osgeo.org/w/4L1a3CCuFmx1UUpFdSrSj4https://video.osgeo.org/lazy-static/thumbnails/94652829-5cfe-485b-888c-1b681b594ed4.jpgFOSS4G 2021 - Techniques for representing untiled GIS data in WebGL structuresWebGL allows for fast graphics rendering on most web browsers, but also inherits undesired traits from from its videogame legacy. One of these traits is low numerical precision on integer and floating point operations. Tiling datasets has allowed tiles (both raster and vector) to dominate web applications since tiles can easily overcome these problems. This talk will explore the opposite: possible ways to overcome numerical precision challenges in untiled datasets, as well as the dreaded antimeridian artefacts in coordinate systems which wrap around the globe. This will include a brief introduction to floating point, and live demos (showing how GIS data with/without artefacts looks like) Authors and Affiliations – Iván Sánchez Ortega (1) (1) Freelancer Track – Software Topic – Software status / state of the art Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/1e703ceb-a18e-4f06-b33b-9ad7f1e16ce7https://video.osgeo.org/w/xoCYk4eNDFw9J2t8TtyvN3https://video.osgeo.org/lazy-static/thumbnails/e715c742-6339-4248-8f4c-7993d67105c9.jpgFOSS4G 2021 - Lessons from using geospatial data to improve sanitation for vulnerable communities inLessons from using geospatial data to improve sanitation for vulnerable communities in Antananarivo, Madagascar Overview: In this presentation Lieven Slenders – Geospatial Manager at Gather – will introduce the methodology, outcomes, and lessons from Gather’s partnership with the municipal sanitation company in Antananarivo, the capital of Madagascar. Background: In 2020 we formed a unique partnership with sanitation organisations in Antananarivo, Madagascar to use geospatial data to improve sanitation infrastructure and services for 1.7 million people. Madagascar ranks 172nd for sanitation provision out of 180 countries. The first phase of our partnership has laid the groundwork for the first city-wide geospatial baseline. Together – led by the municipality - we have pioneered a new geospatial index and platform to allow organisations to collect, share and analyse standardised sanitation data. These tools have been tested in the fifth arrondissement, home to 350,000 people. Takeaways: 1. Lieven will introduce the technical specification for the tools 2. Lieven will share our principles for improving the integrity of location data 3. Lieven will share the challenges, successes, and lessons from the partnership, opening a conversation on steps to success for partnerships that use geospatial data to recentre data to the Global South and advance the sustainable development goals About Gather: Gather is a non-profit registered in Madagascar and the UK. Gather’s vision is for every person - regardless of their age, ethnicity, gender, orientation, economic status, or ability - to have access to a safe, working toilet. The sanitation crisis Today, 2.5 billion people live in cities around the world without access to safely-managed sanitation. Past efforts to improve sanitation infrastructure and services for vulnerable communities in cities have struggled to gain momentum because decision-makers cannot access the best data to understand the best action to take. That...https://video.osgeo.org/videos/embed/fe347219-65bb-4b10-afd7-9021d1d2c852https://video.osgeo.org/w/8HUPqhbwztm6bMfgG2zuBshttps://video.osgeo.org/lazy-static/thumbnails/01501004-1e7a-4265-8532-d22f7bb8ed79.jpgFOSS4G 2021 - GeoMapFish und QGIS ServerWith the combination of GeoMapFish and QGIS Server, creating and managing a WebGIS has become easier. The versatile symbolization and labeling options of QGIS Desktop are readily adopted in GeoMapFish. With the Access Control QGIS plugin, rights control over the data is guaranteed. In this presentation the features of the latest release 2.6 of GeoMapFish will be shown in interaction with QGIS Desktop and QGIS Server. GeoMapFish is an open source platform for the development of web-based geographic information systems (WebGIS). It is rich in functionalities, highly customizable and based on the latest technologies and standards in the field. It offers several interfaces: Desktop, Mobile, Administration and some more for specific purposes (e.g. connections to specific specialized applications), as well as an API for integrating maps with third party applications. Based on OGC standards (WMS, WFS), a GeoMapFish application enables the transfer of geospatial data in the form of services for desktop clients or other web clients. Currently, version 2.6 of GeoMapFish is in preparation. As backend map server GeoMapFish supports MapServer, QGIS Server and Geoserver. QGIS Server was first integrated with version 1.6. Starting with GeoMapFish 2.2 specific QGIS features were used and lately more and more GeoMapFish projects use QGIS Server. With QGIS Server the configuration of the layers is defined in QGIS Desktop and stored in a QGIS project. The symbology is then directly transferred to GeoMapFish. The integration of data and any changes to the configuration run smoothly and benefit from the many advantages and options of QGIS Desktop. The Access Control QGIS plugin allows fine-grained rights control over the data: certain layers and attributes can only be visible to certain users. The configuration is set in QGIS Desktop. The plugin allows the connection of external authentication and user management systems. The rights management also integrates coherently with othe...https://video.osgeo.org/videos/embed/3e8a03e2-1f41-4b01-984e-82df0eff8af0https://video.osgeo.org/w/fjEh8UA62gf1W9e1Us6Mvdhttps://video.osgeo.org/lazy-static/thumbnails/cd20b2af-4fab-4154-9af2-fbd73f9b1c93.jpgFOSS4G 2021 - Pandemic and Climate Recovery through FOSS4G Local Knowledge Stewardship and....Pandemic and Climate Recovery through FOSS4G Local Knowledge Stewardship and Employment Models The Open Knowledge Kit Regeneration Program addresses key challenges in the pandemic and climate crisis: How to collect near real-time data, how to create research, policy and programs that reflect the central role of women in the economic and social prosperity of their communities, how to address the political and funding barriers in hazard and climate change modeling, and how to develop fully local research teams to address revolving door outsider and expat models in vulnerable communities. This talk will showcase free and open source tools: OpenDataKit, 3DStreetView and OpenDroneMap to cover some of those challenges. Authors and Affiliations – Celina Agaton (1) Steve Mather (2) Ivan Gayton (3) (1) Founder and Managing Director, MapPH (2) Founder, OpenDroneMap, (3) Co-Founder, 3DStreetView Requirements for the Attendees – No special requirements Track – Use cases & applications Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/73faeb3c-241a-4271-9144-95b958db1d5ahttps://video.osgeo.org/w/gtN7tBzDGBmsiAVYPrjhCqhttps://video.osgeo.org/lazy-static/thumbnails/27035661-1970-4c31-862f-3b160e9e84f5.jpgFOSS4G 2021 - Artificial Unintelligence: Fverything we did wrongIn recent years, the password to get into the club of the “cool kids” in technology has been Artificial Intelligence, also referred to as AI by the “it” group. AI has grown greatly in popularity and application with Geo Gecko also recently jumping on the train by starting to work on some Machine learning models which are a subset of the great AI. We have been building models to identify different crops using sentinel 1 and sentinel 2 images. This work has given us a front row seat in the implementation of the much-glorified machine learning algorithms. It is from this position that we are able to discuss our insights in regard to how “intelligent” this subset of artificial intelligence really is. Also having experienced the non-romantic side of machine learning (spoiler alert) which is data accessing, cleaning and preprocessing, we will discuss these in depth, alongside the break throughs we made to overcome them, and the recommendations that we have for the newbies. We intend for this talk to give ML enthusiasts a quick dose of reality so that they can take off the training wheels and get to know what really happens in Machine Learning. Authors and Affiliations – Tasia Lydia Naturinda Evet Track – Use cases & applications Topic – New trends: IoT, Indoor mapping, drones - UAV (unmanned aerial vehicle), Artificial intelligence - machine learning, deep learning-, geospatial data structures, real time raster analysis Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/7d5a9439-de95-4fa6-be6a-47d7ddc80ec0https://video.osgeo.org/w/8x3bcHsC71tBttH1imFT5fhttps://video.osgeo.org/lazy-static/thumbnails/24f90792-cf27-434c-8aca-ca9d389b0043.jpgFOSS4G 2021 - How to use OpenStreetMap data in QGIS DesktopQGIS is one of the most used Open-Source GIS Software. It is possible to display, edit, analyse, process different kind of data such as vector, raster, mesh, point clouds etc. QGIS has some native functionalities to work with OSM data. Either with raster layer as a basemap, or with vector, QGIS can deal with OSM data. Depending on the amount of data to work with, the need to "refresh" the data (from the main OSM database), the extent of the coverage, different plugins or technologies are possible. This presentation will try to give an overview how it's possible to use OpenStreetMap data within QGIS according to different situations (TMS/WMS, Overpass-API, Docker, PostgreSQL...) Bonus : Hopefully, I will be able to present a new major version of QuickOSM, a QGIS plugin to query the OSM OverpassAPI or to work with a local OSM files (new features, tips and QGIS Processing). On one side, we have QGIS. One of the most used opensource software. On the other side, we have OpenStreetMap, a major geospatial database. With different tools or technologies, it's possible to display and/or analyse OSM data within QGIS. We will make an overview how to use OSM data within QGIS : raster, vector, server, local files etc. Authors and Affiliations – Etienne Trimaille Track – Software Topic – Software/Project development Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/3d055e51-aa03-4298-b57c-43f9a88d5b9ahttps://video.osgeo.org/w/nR9ZGBpyFncAWk1gzuWti2https://video.osgeo.org/lazy-static/thumbnails/4b7ec8a9-772b-4fba-be3e-c1c0fd9863cd.jpgFOSS4G 2021 - News from GeoStylerWhen it comes to styling of geodata many tools have their own solution: SLD, QGIS-Styles, OpenLayers-Styles, Leaflet, … But what to do if you need to share the same style across different formats? GeoStyler brings the solution. With its standalone parsers, nearly any (layer based) style can be converted from one format to another - from SLD to OpenLayers, QGIS, Mapfile, and vice versa. On top of this, GeoStyler offers a library of React UI elements to easily create styles in your own WebGIS. When it comes to the styling of geodata, many projects like QGIS and OpenLayers, use their own solution, even though SLD provides a de-jure standard. This poses quite some problems for users when working with multiple tools in their application stack, as styles might not be shareable between different tools, or might not be applicable anymore after replacing the style managing tool in the stack. In web-development, UI libraries for editing styles in general, are scarce, and libraries for editing arbitrary styles in particular, are missing completely. GeoStyler tries to fill that gap. GeoStyler is an OSGeo Community Project that provides a set of parser libraries that allow the conversion between different styling formats. The GeoStyler commandline interface provides a tool for server-side style conversion for an arbitrary number of style files - completely automated. With these tools, it is possible to convert a huge amount of QGIS styles to SLD, or Mapfile or any other supported file based styling format and vice versa. On top of that, GeoStyler provides a UI library for creating and editing such styles in a WYSIWYG editor, which can be integrated into any existing WebGIS. Through its plugin concept, the UI works with any of the supported parsers and can thereby be used for projects that use SLD, OpenLayers, QML, etc. Currently, GeoStyler supports following styling formats: OGC SLD OpenLayers Styles Mapfiles QML and following geodata formats: GeoJSON OGC WFS Shapefil...https://video.osgeo.org/videos/embed/b0ece65c-a4dc-4561-be3d-425131c59f37https://video.osgeo.org/w/uSkJkVFehtSntHNVSG3uJHhttps://video.osgeo.org/lazy-static/thumbnails/6be2d6e8-1c7a-4628-bd30-c7afc4dbbd6a.jpgFOSS4G 2021 - Ciudad Limpia Valdivia: A Mobile and Web based Smart Solution based on FOSS technologyCiudad Limpia Valdivia: A Mobile and Web based Smart Solution based on FOSS technology to support Municipal and household waste collection Currently, waste disposal management is still a challenge for any city. Usually, local governments such as municipalities are tasked to oversee waste management in their cities. When disrupted or in operational conditions which are not optimal, this fundamental city process produces great discomfort for the citizens. It can even become a health issue and it has a negative impact on the city’s aesthetics. The latter is of particular relevance in cities with a highly developed tourism industry. Ciudad Limpia Valdivia is a Web and Mobile application which attempts to tackle some of the aforementioned issues for the Municipality of Valdivia in Chile. It is based on Free and Open Source Software and it is currently in the last stage of prototyping. Its development has incorporated geospatial analyses as well as some tools from computational intelligence and machine learning. In particular, approximately one year of the municipality's waste collection routes captured by Satellite Navigation Systems have been used to study the system’s behaviour for a target neighborhood. Also, surveys were conducted in that neighborhood to evaluate the interest in the application and to assess its potential impact. The waste collection routes dataset will now be used to train a system capable of estimating the arrival of the corresponding waste collection truck to a particular point selected by the user, using machine learning techniques. The “real-time” position of the trucks is shown in the application, thus giving feedback to the user of the current status of the service. Another important feature of the application is the illegal dumping reporting that will be received by the municipality. Ciudad Limpia Valdivia's goal is to be a bridge of communication between the citizens and the municipality. This paper will present the general concept des...https://video.osgeo.org/videos/embed/e9c73ae5-5549-48a7-af52-7a1a3bf8daedhttps://video.osgeo.org/w/fVVN8CTRhLyNE7JkX974yPhttps://video.osgeo.org/lazy-static/thumbnails/80ec15d0-7127-4d08-a25c-cd0b2cb580b9.jpgFOSS4G 2021 - Mapping floods in urban areas from space at local risk levelOpen EO data has long held promise for wide-area flood mapping and many algorithms exist to serve flood maps across large spatial scales. A lot of those maps are being used to support situational awareness assessments. However, typically, open EO imagery works well over open water rural areas but in areas where most people and assets at risk are located, i.e. urban areas, traditional flood mapping algorithms applied to free satellite data have serious limitations. However, recently, advances in using SAR signal coherence change for mapping floods coupled with an increase in powerful cloud computing, make urban flood mapping a reality. In this talk, we present examples of use cases using an urban flood map algorithm on an online cloud-based EO processing platform to rapidly process Sentinel-1 SAR images into urban building geometries that are then used to derive an accurate urban flood map using SAR signal coherence change. Please see the abstract above. Authors and Affiliations – RSS-Hydro/University of Bristol Track – Transition to FOSS4G Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/78e7837d-08de-4484-af9f-ffc56ffba36bhttps://video.osgeo.org/w/4bybhy4odv5UKtn4eS7qxUhttps://video.osgeo.org/lazy-static/thumbnails/51fb94ac-32fb-4a14-a762-a7d1f3741815.jpgFOSS4G 2021 - High-Res for Tropical Forests: The NICFI Data ProgramIn September 2020, Norway's Ministry of Climate and Environment awarded a consortium of commercial satellite imagery providers, Kongsberg Satellite Services with partners Planet and Airbus, a contract to open comprehensive access to high-resolution satellite monitoring of the tropics to help reduce and reverse tropical forest loss. This contract opens analysis-ready Planet Basemaps of the tropics under a CC-NC license in support of the Purpose of Norway's International Climate and Forests Initiatives. Key goals of this program include advancing scientific research and development in forests and climate; supporting international, national, and subnational policies for conservation and climate goals; empowering indigenous and local communities in the fight against deforestation; facilitating solutions to remove pressure on forests from global markets; and more. This session will provide an introduction to the NICFI Data Program, including what datasets are available, technical how-to's (including access, download, analysis, and integrations), and example use cases and impacts to date. Authors and Affiliations – Tara O'Shea Director of Forest Programs Planet Charlotte Bishop Senior Program Manager Kongsberg Satellite Services Track – Open data Topic – Data collection, data sharing, data science, open data, big data, data exploitation platforms Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/19c4af04-ca08-4118-8d49-d494391dce0ahttps://video.osgeo.org/w/q3uXqQ3hzqAikuKMyeUXumhttps://video.osgeo.org/lazy-static/thumbnails/61dc7fea-089d-413e-a70e-b7950188531c.jpgFOSS4G 2021 - Wegue - Webmapping with OpenLayers and Vue.jsWegue combines the mapping capabilities of OpenLayers with the structure of the Vue.js framework. It contains many predefined geospatial components like layer tree, attribute table or measure tools. These are bundled in an configurable template that is ready to handle typical webmapping use cases. Wegue [1][2] is a software for creating modern lightweight webmapping applications. It is based on the JavaScript frameworks OpenLayers [3] and Vue.js [4]. OpenLayers takes care of reading and displaying the geospatial data. Vue.js is used for structuring the project's code (according to MVVM) and allows the creation of custom web components which display nicely on both mobile and desktop devices. Wegue links these two frameworks to a template for webmapping applications and provides reusable UI components based on the established UI library Vuetify [5]. Included examples are: layer list, attribute table, feature info dialogue, measure tools, permalink or geocoder. A central feature of Wegue is the ability to define most of the application's functionality with a configuration file. However, it is still possible to tailor Wegue to custom needs with classical HTML, CSS and JavaScript. Wegue has started in 2018. In the meantime, the project has matured and has been used in several real-world projects. It has been extended and improved in many places and is currently on its way to version 1.0. The presentation will give a short overview of the Wegue ecosystem as well as the innovations of the last months. In addition, some practical examples will be presented. [1] https://github.com/meggsimum/wegue [2] http://www.wegue.org/ [3] http://openlayers.org [4] https://vuejs.org [5] https://vuetifyjs.com Authors and Affiliations – Miksch, Jakob (1) and Mayer, Christian (1) (1) meggsimum (Christian Mayer) Track – Use cases & applications Topic – Software/Project development Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – E...https://video.osgeo.org/videos/embed/c2b4a8f1-a274-4bf3-ac56-250f056a81d8https://video.osgeo.org/w/gbGvxZB3Ujv6vADNEQrjHUhttps://video.osgeo.org/lazy-static/thumbnails/d866644e-e017-4f70-bd60-20fa1cdaaf5e.jpgFOSS4G 2021 - A look beyond the edge with Visual FieldVisual Field is essentially a single HTML file - with some internal links to various CDN CSS and Javascript component resources. Visual Field can be loaded as a web accessible resource, offline web resource, installed as a PWA, or as a stand alone file. It's an Open Source Application that builds upon other Open Source components and allows you to import, process and visualize your data, or other remote CORS enabled datasets. It has a potential broad audience and broad set of use cases. Visual Field isn't about solving all GIS problems but it is about empowering both the end users and designers of your data driven visualizations and workflows alike. This presentation will briefly introduce the capabilities of Visual Field, run a quick demonstration, and then lead in to a general discussion on what you can do going forward should a standards based, text and spatially enabled, SQL engine become available in the browser. My name is Harris Hudson and I am the author of Visual Field. There is both a lot of set precedence and also a lot of continuing ongoing change in the web ecosystem - and should the WebSQL database (which is at the very core of Visual Field) still have broad browser support come September 2021 - I would be delighted to present in FOSS4G 2021 BA. Whether you are technical or non-technical, I hope you might find this presentation useful in some way. In late 2019 I developed the Visual Field Open Source Application https://visualfield.org. And I have been maintaining this project since then with some subsequent versions released in 2020/21. Visual Field can be loaded as a web accessible resource, offline web resource, a PWA, or as a stand alone file. Visual Field is not strictly a FOSS4G application but a lot of its usefulness is GIS related. Visual Field is about empowering both the end users and designers of your data driven visualizations and workflows. At the core of Visual Field is the WebSQL database. WebSQL is a fantastic client side true sever...https://video.osgeo.org/videos/embed/7af77b83-5444-4836-9238-381e76cce0aehttps://video.osgeo.org/w/wZVTbVstEim4kVmqCgnu9Hhttps://video.osgeo.org/lazy-static/thumbnails/686f4640-01a8-4621-87eb-5ac53632e9c7.jpgFOSS4G 2021 - MAPPING FOR SAFETY AND CRIME DURING COVID-19 PERIOD IN THE INFORMAL SETTLEMENTSCovid-19 hit us hard especially us in the informal settlements. We lost our jobs, Our Partners also lost their jobs our business were shrinking. As a result of this, some ended in Crime, some were killed by mob Justice, some by a bullet. When all this was happening there was Movement Sensation, Lockdown and curfews making it a safe haven for criminals. Through the help of FOSS4G networks Community mappers were able to conduct a door to door survey through standard walk methodology skipping every 10 houses this was done in a middle of the Covid-19 pandemic in year 2020. The data collection was done through the ODK App. In this survey we also came to realize that young women were getting into crime so as to feed for their young ones. The major crime cause was unemployment which was at 73.5% this was due to movement sensation the curfew most companies were shutting down and employees had to go home with no pay this prompted the young people to look into other ways of survival that is crime. The survey also expounded on Safety Findings, and crime mitigation strategies during covid -19. With the findings we were able to create conversation from grass root level with community stake holders up to sub county level. All this was possible because of the FOSS4G network and with the help of our technical team we were able to come up with physical maps to present to County. My name is Nicera Wanjiru I leave in a big city with many informal settlement (slums) The Slum I leave in is very congested with 10 by 10 structures, full of crime, very little is known about my slum. Was Coming from an informal settlement the first time I attended the FOSS4G conference through the inspiration of the Speakers I came back in the Slum I stay in and started an organization that is now the Community Mappers an organization that is Led by women. When Covid was reported in my country most of organizations retrieved back and embraced online data collection, they feared getting into our SLUMs. F...https://video.osgeo.org/videos/embed/fb08c2d0-9594-492b-a588-ae72e6d98ca1https://video.osgeo.org/w/oVVnCPZPUiBdpgxsAAyF2Zhttps://video.osgeo.org/lazy-static/thumbnails/0087e8ea-745d-4d19-bce7-b589e003ef7e.jpgFOSS4G 2021 - GeoHealthCheck - QoS Monitor for Geospatial Web ServicesKeeping (OGC) Geospatial Web Services up-and-running is best accommodated by continuous monitoring: not only downtime needs to be guarded, but also whether the services are functioning correctly and do not suffer from performance and/or other Quality of Service (QoS) issues. GeoHealthCheck (GHC) is an Open Source Python application for monitoring OGC Web Services uptime and availability. In this talk we will explain GHC basics, how it works, how you can use and even extend GHC (plugins). GeoHealthCheck is a Python application for monitoring OGC Web Services uptime and availability. Keeping (OGC) Geospatial Web Services up-and-running is best accommodated by continuous monitoring: not only downtime needs to be guarded, but also whether the services are functioning correctly and do not suffer from performance and/or other Quality of Service (QoS) issues. There is an abundance of standard (HTTP) monitoring tools that may guard for general status and uptime. But OGC web services often have their own error "Exception" reporting not caught by generic HTTP uptime checkers. For example, an OGC Web Mapping Service may provide an Exception written in an image response or an error may render a blank image. A generic uptime checker may assume the service is functioning as from those requests an HTTP status "200 is returned. Other OGC services may have specific QoS issues that are not directly obvious. A successful and valid "OWS GetCapabilities" response may not guarantee that individual services are functioning correctly. For example an OGC Web Feature Service (WFS) based on a dynamic database may return zero Features on a GetFeature response caused by issues in an underlying database. Even standard HTTP checkers supporting "keywords" may not detect all failure cases in OGC web services. What is needed is a form of semantic checking and reporting specific to OGC services. GeoHealthCheck (GHC) is an Open Source (MIT) web-based framework through which OGC-based web serv...https://video.osgeo.org/videos/embed/b9b05cd4-a7bc-474d-aae9-a97a2aaa464fhttps://video.osgeo.org/w/ohNzNV76v7qrkWz2ExuQ4Vhttps://video.osgeo.org/lazy-static/thumbnails/e88299fc-09e7-4d25-aa44-66ac5f5be0a5.jpgFOSS4G 2021 - R-spatial panelR Spatial is a lively community of people using R for analyzing spatial data. The panel will address where the community is and where it is going, and discuss the role that OSGeo libraries, used by several R packages, currently have, may have, or shouldn't have. Talks (10 minutes each, questions in chat) Introduction by chair on proceedings (5 minutes, Edzer) Overview of the ecosystem: IDEs, dependencies, packages, resources, applications (Paula) OSGeo/R interfaces and upstream contributions (Roger Bivand) qgisprocess: A command-line interface to QGIS within a statistical programming and interactive data analysis environment (Dewey Dunnington) R’s capabilities for reproducible spatial data visualization (Lorena) Open discussion (45 minutes) What is R’s niche within the wider FOSS4G community? How can R-spatial be better integrated into FOSS4G? What are gaps in the FOSS4G ecosystem that R-spatial can fill? What are gaps in R-Spatial that FOSS4G/OSGeo can help with? How can R-spatial become an active OSGeo member? How can R-spatial (better) contribute to OSGeo? How to get involved in R-Spatial? Authors and Affiliations – R-spatial team Track – Transition to FOSS4G Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/b481a898-a5cc-4455-9775-53ef34ff6773https://video.osgeo.org/w/ufixUnpoM4LbjxX4RxZrQ7https://video.osgeo.org/lazy-static/thumbnails/67285538-e044-42f6-acc2-3bf53ee6d141.jpgFOSS4G 2021 - Creating gender data in open mapsAs more communities, organizations, and individuals are interested and are working towards solving some of the world’s biggest challenges, there has been a growing need for open data and FOSS. In as much as we have had progress in several sectors, underrepresented and marginalized groups, especially women and girls, are still being left behind. To cater to these groups, it’s critical that we have open gender data at micro levels to inform and support the development of these solutions. In 2020, the OpenStreetMap community in Kenya conducted a mapping project aimed at creating gender health data. Basing on our experience, we would like to share and answer: How does geospatial gender data look like? Does open geospatial gender data exist? How does this look like in open maps like OpenStreetMap? Between December 2020 to March 2021, the OSM Kenya team ran a project whose focus was on growing the OSM community locally: both in terms of membership and diversity. The project was supported through the Facebook and HOTOSM community impact microgrants. In this session, we will share about the community, project: from ideation(community health), motivation to implementation. This will include the activities involved, our experience, challenges that we encountered, and the lessons learned. Being one of the awardees for the 2020 Community Impact Microgrants by HOTOSM and Facebook, the OpenStreetMap community in Kenya ran a virtual three-month training program for women and girls interested in OSM. While the project was implemented towards the end of 2020, the ideation process began at the start of the year when discussing community health and brainstorming on activities to conduct virtually due to COVID-19 restrictions. This included carrying out a community survey, identifying gaps and challenges, and figuring out what next. Our key focus was community growth, especially in terms of diversity and membership. We had some virtual activities that introduced new mappers to the...https://video.osgeo.org/videos/embed/e4bf1c61-7b2c-44d4-9414-f6ed858bfe22https://video.osgeo.org/w/w156H5eeYbnYYuAT31DnEHhttps://video.osgeo.org/lazy-static/thumbnails/08d718a8-0820-4618-b65d-68afcbbe8db5.jpgFOSS4G 2021 - Scaling AI to map every school on the planetUNICEF and Development Seed are working to leverage machine learning, high-resolution imagery, and inexpensive cloud computing to create a comprehensive map of school at a global scale. Accurate data about school locations is critical to provide quality education and promote lifelong learning, UN sustainable development goal 4 (SDG4), to ensure equal access to opportunity (SDG10) and eventually, to reduce poverty (SDG1). However, in many countries, educational facilities’ records are often inaccurate or incomplete. Understanding the location of schools can help governments and international organizations gain critical insights into the needs of vulnerable populations, and better prepare and respond to exogenous shocks such as disease outbreaks or natural disasters. Unfortunately, some national governments still don’t know where all the schools in their country are or have out-of-date school maps. Despite their varied structure, many schools have identifiable overhead signatures that make them possible to detect in high-resolution imagery with deep learning techniques. Approximately 18,000 previously unmapped schools across 5 African countries, Kenya, Rwanda, Sierra Leone, Ghana, and Niger, were found in satellite imagery with a deep learning classification model. These 18,000 schools were validated by expert human mapping analysts. In addition to finding previously unmapped schools, the models were able to identify already mapped schools with accuracy between 77 - 95% depending on the country. To facilitate running model inference across over 71 million zoom 18 tiles of imagery development seed relied on our open-source tool ML-Enabler. ML Enabler generates and visualizes predictions from models that are compatible with Tensorflow’s TF Serving. ML-Enabler makes managing the infrastructure for running inference at scale and visualizing predictions straight-forward from a UI. ML Enabler will spin up the required AWS resources and run inference to generate predicti...https://video.osgeo.org/videos/embed/f2f4af7f-744d-4abb-b479-60cf49b1c781https://video.osgeo.org/w/9ZXrZhsa56kp7MHKsrqpddhttps://video.osgeo.org/lazy-static/thumbnails/99ec3ff9-7fa0-435c-b893-01c17e5d5cf7.jpgFOSS4G 2021 - Using point clouds in QGISLast year, three open source companies and dozens of funders joined the forces to add support for point cloud data in QGIS. Thanks to that, starting from QGIS 3.18 users can display LAS/LAZ datasets in both 2D and 3D map views. In this talk, we will introduce the new functionality, provide tips how to get the most from your lidar data and discuss the future improvements. The talk should introduce the point cloud support in QGIS to ordinary users, without going too much into detail of how things work internally. The crowdfunding campaign: https://www.lutraconsulting.co.uk/crowdfunding/pointcloud-qgis/ Relevant blog posts introducing point clouds in QGIS: - https://www.lutraconsulting.co.uk/blog/2021/02/18/qgis-3-18-point-cloud/ - https://www.lutraconsulting.co.uk/blog/2021/04/06/qgis-pointcloud-tips/ Authors and Affiliations – Martin Dobias, Lutra Consulting Track – Software Topic – Software status / state of the art Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/48e0acdd-5dfb-4ee9-a5f4-9357d4c2a5d0https://video.osgeo.org/w/u8PR7iYzaZEzrWfeaS7Fsahttps://video.osgeo.org/lazy-static/thumbnails/bed388b2-a5ad-4bda-a1ae-bf3329419a00.jpgFOSS4G 2021 - State of GeoWebCacheGeoWebCache is a pure Java tile cache that can be used either stand alone, or in integration with GeoServer. Attend this talk for a cheerful update on what is happening with this popular project, whether you are an expert user, a developer, or simply curious what it can do for you. GeoWebCache is a popular open source tile cache server written in Java that can be used either stand alone or in integration with GeoServer. This presentation will provide information on the latest development for the project, including: Performance and scalability improvements Better control of seeding jobs Storage of tiles in more blob stores (Swift, Cohesity) MBTiles layer TileJSON support Authors and Affiliations – Andrea Aime (1) Simone Giannecchini (1) (1) https://www.geosolutionsgroup.com/ Track – Software Topic – Software status / state of the art Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/e3d79350-9433-45d8-845b-53f6c2423b59https://video.osgeo.org/w/d8iP1yshVBB5ok9CdCyLHUhttps://video.osgeo.org/lazy-static/thumbnails/74924605-aad3-45f3-8573-a2feeb8db6c9.jpgFOSS4G 2021 - Indigenous Hackathons: Leveraging open EO data and tools for climate action.Indigenous Hackathons: Leveraging open EO data and tools for climate action. What can we learn from Indigenous innovation? To be determined. More information soon. To be determined. More information soon. Authors and Affiliations – Diana Mastracci Sanchez (1) (1) Group on Earth Observations Track – Transition to FOSS4G Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/6232d8af-76a5-4955-b2ea-e6c40fdee66ehttps://video.osgeo.org/w/dP4AkWD4N6kvM5JvWJqw8whttps://video.osgeo.org/lazy-static/thumbnails/58472bc7-ff21-4656-91ce-a70fd9864de3.jpgFOSS4G 2021 - Automated processing of point clouds to update land registry mapsThe quality control, maintenance and renewal of the land registry maps have always been one of the priority issues in the surveying profession. In Hungary, a significant part of the current digital maps is based on old analogue maps that were digitized without involving any in-situ measurements. A direct consequence of this is that the digitized maps' accuracy lags behind maps based on either correct survey or numerical data. Besides, the quality of existing digital maps can be characterized by inhomogeneity which highly depends on the location. The final solution to the problem would have been to carry out new surveys in the critical areas, but that has been postponed due to the lack of time and high costs. In Hungary, the original maps were developed typically in the non-metric scale of 1:2880 back in the 19th century. The primary issue is that the original maps were manually redrawn several times over the past century. Finally, these maps were digitized at the beginning of the 21st century. Each and every redraw, as well as digitalization, aggravated their geometric inaccuracy. It is quite common to have a few meters offset in the position of the features depicted in the land registry maps, which yields a wide variety of problems in applying maps, for instance, in public utility registration and engineering practice, like planning. It can be stated with confidence that countries facing the same issue are large in number worldwide. Authors and Affiliations – Bence Péter Hrutka (1), Bence Takács (1), Zoltán Siki (1) (1) Department of Geodesy and Surveying, Budapest University of Technology and Economics, Hungary Track – Academic Topic – New trends: IoT, Indoor mapping, drones - UAV (unmanned aerial vehicle), Artificial intelligence - machine learning, deep learning-, geospatial data structures, real time raster analysis Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/67bfd5b8-2f71-4b2a-9d53-2966bb73d44chttps://video.osgeo.org/w/hPLQviUJ8Sam7kV9nK2AENhttps://video.osgeo.org/lazy-static/thumbnails/a7733681-c194-4b02-80e0-f211bb552e54.jpgFOSS4G 2021 - Integrating Remote Sensed and Modeling data for Local Flood Prediction and Risk AssesIntegrating Remote Sensed and Modeling data for Local Flood Prediction and Risk Assessment There haven’t been global efforts to identify and determine global flood risk areas and consistently support first responders in the event of a flood, although flooding impacts over half a billion people every year. The lack of objective knowledge of the impact of flooding after the fact, first relief agency assistance is often constrained and therefore less effective. However, these humanitarian catastrophes could be reduced with better transformation of existing observational and modeling technologies into information useful to local populations and decision makers. Here I present a state-of-the-art mobile, globally-scoped, flood prediction, monitoring capabilities and risk evaluations platform that includes high resolution flood information to better serve local needs. The platform builds upon already available NASA-supported global flood systems, including the DFO - Flood Observatory satellite-based hydrological gauging stations, UMD Global Flood Monitoring System (GFMS) and have these integrated with the European Commission’s GloFAS, and SAR-based high-resolution flood mapping. Please see the abstract above Authors and Affiliations – DFO Flood Observatory, University of Colorado Track – Transition to FOSS4G Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/883dce9e-25d5-4a71-836b-a06288a3bf0ahttps://video.osgeo.org/w/tHCPF2gsNEQNvsMZ2xStiQhttps://video.osgeo.org/lazy-static/thumbnails/d2c74d25-1c50-4942-b9ed-8e4a24e9be88.jpgFOSS4G 2021 - Land use messaging & mapping by land users in the Digital Earth era: Pilot projects inLand use messaging & mapping by land users in the Digital Earth era: Pilot projects in Nigeria and Kenya. Automated methods for capturing land use information remotely have and will likely always have fundamental limitations – pixel values alone do not capture local knowledge such as farming techniques, the location of sacred sites, or the fuzzy boundaries of a hunting area. This means that there is currently a lack of collective knowledge and open data and information availability about human-land interactions, which poses an obstacle for building complete local and planetary-scale environmental management systems that could contribute to ensuring sustainable development by tackling the two interconnected problems of climate change and rural poverty. Developing a better understanding of how humans use land – to encourage sustainability – requires integrating the knowledge that land users hold into the mapping process. However, the democratisation of geographic data use and production which make this possible is not yet a reality, especially in rural areas – often, land is not mapped by those who use it. Taking an interdisciplinary approach, this research explores how inequality in participation in geographic data production and use can be reduced. Two recent geographic citizen science pilot projects in South West Nigeria and Kenya where few small communities of farmers and herders are creating digital land use maps will be presented, focusing on the co-designed prototypes – using Sapelli and web technologies – for satellite imagery-based off-site mapping and/or GNSS-based on-site mapping. Lessons learned about map semantics, the universality-customisation dilemma and the scalability challenge will be briefly discussed, with special attention to the role that popular messaging apps and their design and infrastructure can play in enhancing instant land-related knowledge sharing while also appropriately stimulating the creation of land user-generated land use ma...https://video.osgeo.org/videos/embed/e076ee43-9fef-4d72-97a2-aaa6ed862df6https://video.osgeo.org/w/4bGYbvdQoSeEpK6cEaf9Kphttps://video.osgeo.org/lazy-static/thumbnails/4dfa5940-01be-4747-b469-bca240e929a7.jpgFOSS4G 2021 - Data colonialism in communitiesWhen COVID was reported in Kenya, many organizations retreated from field surveys in informal settlements and embraced online data collection for fear of COVID in slums. They overlooked the community – eager for work and skilled in data collection - who could have collected that data. Online surveys missed target populations and inaccurately depicted what was happening. COVID-19 hit hard in informal settlements. We lost our jobs and businesses shrank. For most families eating was a problem, let alone affording phone credit to answer an online survey. People in dire need did not have phones or sometimes electricity. Almost immediately, crime increased, mob justice increased, and several people were killed. For these reasons, our communities were not well represented in the data reported during COVID. As a community-based data collector, I knew this wasn’t right. Here were big NGOs, many employing educated Westerners, protecting themselves at our expense in the name of poverty alleviation and justice. How could they not see the irony, and even hypocrisy? As lockdowns and curfews were announced, I wondered why none of the organizations that had trained and hired me as a data collector over the last decade had contacted me. Community-based data collectors were ideally placed to collect information about the rapidly changing situation in informal settlements. COVID was my catalyst to form Community Mappers in early 2020, a community-based data collection organization. We identify community data priorities, train and hire community data collectors, and conduct household surveys, focus group discussions, and collect other types of data. We reach out to Kenyan and Western colleagues for specific support when we need it, and are working to grow our own capacities. For example, during the first weeks of the COVID pandemic, we conducted a door-to-door survey in Kibera, Nairobi to collect information about food insecurity using OpenDataKit. We felt it was important to ac...https://video.osgeo.org/videos/embed/19ca19fb-fc06-43e2-8b68-c2c70bb866b5https://video.osgeo.org/w/hvKwb3gUaR29Y1ze8uoQzehttps://video.osgeo.org/lazy-static/thumbnails/45c038f6-d7cc-41ad-8ce8-28cea3c34ed9.jpgFOSS4G 2021 - Publishing maritime data with GeoServerThis presentation will describe the architecture put in place, and the challenges that GeoSolutions had to overcome to publish maritime data through GeoServer OGC services (WMS, WFS and WPS), finding the correct balance that maximized ingestion performance and visualization performance. We integrated with a streaming processing platform that took care of most of the processing and storing of the data in a storage that allows GeoServer to efficiently query for the latest available features, respecting all the authorization policies that were put in place. A few custom GeoServer extensions were implemented to handle the authorization complexity, the advanced styling needs and data integration needs of maritime data. Maritime data is produced by a variety of sources (AIS, SAR, VMS, ... ) and maritime assets (vessel, ports, navigational aid systems, ...) that combined together provide a foundation for informed decision-making applications for activities such as maritime traffic monitoring, search and rescue operations and environmental marine disasters monitoring, just to name a few. The amount of maritime data collected per day is quite signifantive and is usually provided as a stream of data that needs to be processed, enriched and stored in near-real time. GeoServer is a web service for publishing your geospatial data using industry standards for vector, raster and mapping. It powers a number of open source projects like GeoNode and geOrchestra and it is widely used throughout the world by organizations to manage and disseminate data at scale. This presentation will describe the architecture put in place, and the challenges that GeoSolutions had to overcome to publish such data through GeoServer OGC services (WMS, WFS and WPS), finding the correct balance that maximized ingestion performance and visualization performance. We had to integrate with a streaming processing platform that took care of most of the processing and storing of the data in a storage that a...https://video.osgeo.org/videos/embed/85b99bb1-ce2a-46ac-bd65-51f608437697https://video.osgeo.org/w/p9tJMxymkYg9BqxPd8u5Fwhttps://video.osgeo.org/lazy-static/thumbnails/cca770fa-aa92-4b6b-ae50-0fbda05f38b6.jpgFOSS4G 2021 - Geometry Referential, a package to convert coordinates, formats and altitudes.As the FOSS community grows, the number of packages we can use when creating modern web apps also grows. This is true also for spatial related packages, however this richness comes with its own difficulties: the way coordinate systems are managed is not necessarily consistent among software packages. When creating complex spatial web-based apps, we may encounter difficulties dealing with coordinates while using different packages. Developers may become aware of this problem when converting coordinates between reference systems. For some time, developers at Sterblue faced several coordinate transformation issues while creating its comprehensive web platform. Sterblue platform is a central platform for infrastructure inspections that uses many different packages and technologies. The main programming languages are Javascript and Typescript. Initially PROJ4JS was the preferred package to handle coordinate transformations but problems started to arise when performing format and coordinate transformations using different altitude systems. The problems became worse with the need of using local and geospatial coordinate systems. Local coordinate systems describe a local coordinate space and are mainly used on computer graphics, for example when modelling a wind turbine 3d model. Local coordinates are not geospatial systems but their coordinates can be transformed into geospatial coordinates, for example while transforming points from a wind turbine 3d model into a geospatial coordinate system, e.g., WGS84. To overcome this, we developed a tool that can handle multiple format and coordinate transformations as well as local coordinate system support. We named this package Geometry Referential and we provide it as FOSS. This package was created to provide a universal way of converting coordinates between systems, formats and altitude all in the same package using one standard way. To convert coordinates between geospatial coordinate systems, it uses PROJ4JS internally...https://video.osgeo.org/videos/embed/bb713bb8-ea0d-41e8-b299-80364d6d2214https://video.osgeo.org/w/mVXRKpJgFVjzvUnCXAi6thhttps://video.osgeo.org/lazy-static/thumbnails/751a1888-9cfd-4bd6-b909-297a49f2a12f.jpgFOSS4G 2021 - Efficiencies of Scale with Imagery Pipelines, Cloud Optimized GeoTIFFs, and SpatioTempEfficiencies of Scale with Imagery Pipelines, Cloud Optimized GeoTIFFs, and SpatioTemporal Asset Catalogs Bayer Crop Science recently unified internal imagery platform capabilities by completing a full re-write of core imagery APIs to leverage the performance gains offered by Cloud Optimized GeoTIFFs (COGs) with the efficiencies and extensibility of the SpatioTemporal Asset Catalog (STAC). By standardizing imagery pipeline outputs on COGs, all developers and imagery scientists at Bayer Crop Science have access to the full spatial imagery catalog as STAC Item/Asset records and can implement common file access patterns. One potential benefit of adopting STAC-accessible COGs as a standard pipeline output is the ability to squeeze out unnecessary data transfers for local writes and reads of unwanted peripheral pixels at-scale for imagery-based ML training and processing. To do this, our imagery team developed a new pilot Imagery-as-Array API to return band-specific AOI targeted range-and-column pixels as numPy arrays for processing and analysis. By implementing data transfers, reads, and writes for only targeted pixels, the resulting milliseconds saved here and there for 1000’s of images can add up to hours of unrealized network and compute time in very short order and lead to faster iterations of higher quality. The overall re-write effort aligned with Bayer global digital transformation objectives and firmly established the imagery platform as a scalable and durable pivot between imagery capture, post-processing, and decision-science based analytics to help drive future research and commercial advancements. This presentation will provide an overview of the Bayer Crop Science imagery ecosystem and the incremental efficiencies gained from integrating COGs with other open source software capabilities. This presentation will cover the general AWS architecture, data stores, and API implementation for the imagery platform as it was re-written with a demonstration of th...https://video.osgeo.org/videos/embed/a97f9dd6-dfbf-48ca-abd6-e67d6ddaad8ahttps://video.osgeo.org/w/ipy6Vj6AER6g3aJUzvcGKHhttps://video.osgeo.org/lazy-static/thumbnails/29de7f13-f415-459c-a7d8-7b8bdc37353b.jpgFOSS4G 2021 - UN Open GIS Initiative: Use cases of Open Mobile GIS solutions in the context UN peaceUN Open GIS Initiative: Use cases of Open Mobile GIS solutions in the context UN peace operations The UN Open GIS Initiative started UN Open GIS Mobile Solution Pilot Project in 2020, which aimed at (1) evaluating the effectiveness of using Open Source Mobile solutions such as QField, KoBo Toolbox, and Geopaparazzi/SMASH in field data collection; (2) setting up the fundamental process for integration, implementation, and use of GIS mobile application under UN Open GIS Architecture; (3) testing the Mobile solution compatibility with the known Open Source systems such as QGIS, GeoServer and PostgreSQL/PostGIS. This project is expected to pave the way forward for better availability of open mobile solutions, better integrated open GIS solutions, and increased operational efficiency and effective support for UN operations' situational awareness and decision-making. The pilot project has been implemented collaboratively by United Nations Mission in South Sudan (UNMISS), the United Nations Organization Stabilization Mission in the Democratic Republic of the Congo (MONUSCO), World Food Programme (WFP), and UN Geospatial Information Section (UNGIS) together with special supports from developers of mobile solutions, such as OPENGIS.ch and HydroloGIS. This talk will share users' experiences through a pilot project of open-source Mobile GIS solutions. Background: the UN Open GIS Initiative, established in 2016, is an ongoing partnership initiative and supported by the Member States, International Organizations including UN Agencies, Academia, NGOs, and the Private Sector. UN Open GIS aims to create an extended spatial data infrastructure by utilizing open source GIS solutions that meet the United Nations' operational requirements (UN Secretariat including UN field missions and Regional commissions) and then expands to UN agencies, UN operating partners, and developing countries. Authors and Affiliations – Remi Kouakou (1) Majur Anek Bior Achiew (2) Epaphrodite Utabajim...https://video.osgeo.org/videos/embed/8cf53f5d-bab1-45c1-81a6-4850bfb7eaafhttps://video.osgeo.org/w/hjPA8n4ZuaYQA6xTMCEXtMhttps://video.osgeo.org/lazy-static/thumbnails/11d9183c-eef6-40d2-b644-97c3b7a58410.jpgFOSS4G 2021 - Versioning in 2021: when and how you should do itSometimes data is not enough, and we need metadata : we want to know how and by whom it has been produced, altered, updated. We also want to track history of the data, be able to go back in time, and even sometimes deal with different versions of the same data. There are numerous technical solutions to cover these needs. We will present some opensource solutions and the associated ecosystem : PostgreSQL mechanisms (triggers), qgis-versioning, pg-version, fastversion and others. We will speak about different possible use-cases for data versioning and which technical solution is the most adapted, from simple data timestamp to full-fledged history needs. The talk will be illustrated with some real-world cases. Sometimes data is not enough, and we need metadata : we want to know how and by whom it has been produced, altered, updated. We also want to track history of the data, be able to go back in time, and even sometimes deal with different versions of the same data. There are numerous technical solutions to cover these needs. We will present some opensource solutions and the associated ecosystem : PostgreSQL mechanisms (triggers), qgis-versioning, pg-version, fastversion and others. We will speak about different possible use-cases for data versioning and which technical solution is the most adapted, from simple data timestamp to full-fledged history needs. The talk will be illustrated with some real-world cases. Authors and Affiliations – Augustin Trancart (1) Vincent Picavet (1) (1) Oslandia, France Track – Software Topic – Software status / state of the art Level – 3 - Medium. Advanced knowledge is recommended. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/8432ef0e-381e-411f-b3fb-54c5f6dbab97https://video.osgeo.org/w/kB54obS2P3KwW9zooE56KMhttps://video.osgeo.org/lazy-static/thumbnails/5d872394-5479-4739-bf69-a7f4d3988d68.jpgFOSS4G 2021- Spatiotemporal tracking of COVID-19 using open-source gridded population rasters and..Spatiotemporal tracking of COVID-19 using open-source gridded population rasters and mathematical modelling We present a spatial SVEIRD (which stands for Susceptible, Vaccinated, Exposed, Infectious, Recovered and Dead compartments) epidemic model to capture the transmission dynamics of the spread of COVID-19 and provide insight that would support the Public Health officials towards informed, data-driven decision making. We use the freely available population count data downloaded as a gridded raster map from WorldPop.org to assess the geographical spread COVID-19. Each grid cell has a population count, which is divided into disease compartments. Each grid cell can transmit disease to its neighbors, with probabilities that decline exponentially with the Euclidean distance. Predicting the transmission dynamics of COVID-19 using mathematical models is challenging and comes with a lot of uncertainty. First, we run the spatial simulations under the worst-case scenario, in which there are no major public health interventions. Next, we account for mitigation efforts including strict mask wearing and social distancing mandates, targeted lockdowns, and widespread vaccine rollout to vaccinate priority groups. Predictions for disease prevalence with and without mitigation efforts are presented via time-series graphs for the epidemic compartments. All simulations are carried out using R programming language. By the end of the short course participants will be able to: • know how to build a compartment model of epidemiology (for ex: SIR, SEIR, SEIRD, SVEIRD etc.) to track the spatial spread of an infectious disease outbreak. • apply ideas to a realistic scenario involving tracking COVID-19 in a particular country. • gain basic understanding of spatiotemporal modelling using mathematical models. Authors and Affiliations – Krishnamurthy, Ashok Associate Professor Department of Mathematics and Computing Mount Royal University 4825 Mount Royal Gate SW Calgary, AB, T3E 6K6 ...https://video.osgeo.org/videos/embed/9ec32ae2-77e7-4c19-ad1f-a7d11d31385fhttps://video.osgeo.org/w/6KDi8vsnxjP2eb1shb41X4https://video.osgeo.org/lazy-static/thumbnails/8357a01c-7058-46cd-a503-596ece6d2879.jpgFOSS4G 2021 - Integrating AI features into QGIS : welcome QDeeplandiaFor a few years, more and more open geospatial datasets have been released regarding aerial and satellite imagery. In parallel, a wide range of geospatial tools and softwares emerged in order to exploit this amount of data, in particular through image semantic segmentation. This kind of tools are based on Artificial Intelligence techniques, especially convolutional neural networks. At Oslandia, we proposed Deeposlandia [1] to address such a point. By considering a set of (high-resolution) images, one may easily know the composition of the image at the pixel level. This opens the door for use cases like building footprint recognition, as an example. This presentation will depict how to go further and bridge the gap between AI-related softwares and QGIS. Our main focus will be to introduce QDeepLandia [2], a QGIS plugin that aims at providing basic semantic segmentation features for GIS users. AI techniques are composed of two different steps: a long resource-intensive training step and a quicker inference steps. While the former does not aim at figuring into a desktop application like QGIS (a huge amount of involved images, specific GPU resources), the latter suits the needs of users who want to analyze rasters and produce vectorized segmentation results on-the-fly. Hence after presenting some considerations about state-of-the-art regarding semantic segmentation facilities in QGIS, the presentation will focus on the technical locks which must be overcome in terms of dependency management and packaging. Finally a presentation of Deeposlandia and QDeepLandia will be done. [1] https://gitlab.com/Oslandia/deeposlandia [2] https://gitlab.com/Oslandia/qgis/QDeeplandia For a few years, more and more open geospatial datasets have been released regarding aerial and satellite imagery. In parallel, a wide range of geospatial tools and softwares emerged in order to exploit this amount of data, in particular through image semantic segmentation. This kind of tools are base...https://video.osgeo.org/videos/embed/2e95a8d3-7aff-49c0-935a-f8ee12b03211https://video.osgeo.org/w/ffAEhKs3xerin9qkvrtuwLhttps://video.osgeo.org/lazy-static/thumbnails/b0946a8e-8087-4555-a549-3d1609ae6a65.jpgFOSS4G 2021 - State of Oskari (for end users)Oskari (www.oskari.org) is used world wide to provide map applications with integrations to spatial and statistical data and service APIs. Oskari can be utilized as a Web GIS or as embedded maps controllable with a simple API. This presentation will go through the new features introduced in Oskari during 2020-2021. The focus will be on functionalities for end users (normal and admin), such as: New map layer tool, Time control in 3D mode, Announcements tool, Layer swipe tool etc. There will be a separate presentation about technical developments in Oskari focusing on developer experience. You can try the features of vanilla Oskari in our demo environment (demo.oskari.org). This presentation is one of two Oskari presentations we offer. The other one is aimed more for developers and people maintaining Oskari based services and this one is for end users. Authors and Affiliations – Aarnio, Timo, National Land Survey of Finland Track – Software Topic – Software status / state of the art Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/7369b6cf-1073-4c02-8a20-826ff01b2b90https://video.osgeo.org/w/qsMigZ9mjiXvRfLEQtwArKhttps://video.osgeo.org/lazy-static/thumbnails/b436467c-fc7c-48fd-8a51-95107d732fce.jpgFOSS4G 2021 Open GeoData and Open-Source GIS in the Center for Forest Ecology and ......Open GeoData and Open-Source GIS in the Center for Forest Ecology and Productivity of the Russian Academy of Sciences (CEPF RAS) Open data and Open-source tools are widely and globally used in the activities of research institutions. Particularity of scientific projects at the Center for Forest Ecology and Productivity of the Russian Academy of Sciences (CEPF RAS) includes ecology and productivity of forests in Russia. In order to emphasize and to develop the ecosystem functions, resources and environmental potential of Russian forests the Center uses geoinformational and remote sensing methods and tools. Logistically complex and economically costly ground access to the forest fires and forest resources is the specific feature of Russian forest domain. Open Data and Open Source tools have an essential methodological, technological meaning, as well as a potential for the forestry challenges in the country. We present an Open GeoData and Open Source GIS’s experience of ongoing activities devoted to the transport modelling (transport accessibility in the forests and emission of carbon dioxide). An “Open”-research direction extends the activities of the “Transportation Task” group by implementing OSM and QGIS with its plugins. CEPF popularizes Open data and Open Source in their geo-applications by giving lectures and publishing papers in the “Forest Science Issues” interdisciplinary journal. Key model areas in Russia are the following: Nizhegorodskaia oblast (region), Krasnoyarsk Region, Irkutsk and Novosibirsk Regions, and Siberian Federal District. The majority of them has a constant and severe forest fire activity and other challenges related to the forests. Thus, the corresponding environmental problems require urgent solutions. We present an overview and Open GeoData and Open Source GIS’s experience of ongoing activities of the Center’s interdisciplinary research group (combining colleagues with biological and geoinformational background) and the Laboratory ...https://video.osgeo.org/videos/embed/c61894e7-5676-4891-8cc7-dc0d7dff037dhttps://video.osgeo.org/w/hxkqpSdHfEgtRBFz6wEaMFhttps://video.osgeo.org/lazy-static/thumbnails/681f421d-06fe-47df-86fd-ae59f65f241c.jpgFOSS4G 2021 - Cloud-based Geospatial open systems for mitigating climate change: research .....Cloud-based Geospatial open systems for mitigating climate change: research directions, challenges, and future perspectives Current research is focusing extensively on building Cloud based open source solutions for big geospatial data analytics in Cloud computing environments. Massive amounts of geospatially-tagged movement and micro blogging data are collected and analysed regularly. Nevertheless, movement data per se is insufficient for uncovering the possibilities for decision-informing analytics which could help in reducing the undesirable effects of climate change. For instance, answering advanced queries such as 'what are the Top-5 districts in Buenos Aires capital city in Argentina in terms of vehicle mobility data where the index of Particulate Matters PM10 is greater than 50'. Other equivalent queries are required for assisting the strategic decisions regarding health-focused smart city policies. For instance, for insightful analytics that help municipalities in designing future city infrastructures that prioritize the health of citizens. For instance, by lowering the number of vehicles that are allowed entering into highly polluted zones in peak hours of the day. In addition, this information is useful for designing mobile interactive geo-maps for city lightweight dwellers in order to inform them which streets to avoid passing-through during specific hours of a day to avoid being subjected to high-levels of vehicle-caused air-borne pollutants such as PM10. However, answering such a query would require joining real-time mobility and meteorological data. Stock versions of the current Cloud-based open-source geospatial management systems do not include intrinsic solutions for such scenarios. Future research frontiers are expected to focus on designing geospatial Cloud open-source systems which allows integration with other contextual data. In this talk we will show case some of the few available Cloud-based big spatial data management frameworks and how t...https://video.osgeo.org/videos/embed/85f23e75-47a4-45c6-9e62-459a36d93f4dhttps://video.osgeo.org/w/es8MJB3Ux6SgQ5fT9oqE3uhttps://video.osgeo.org/lazy-static/thumbnails/11bf0fda-4386-4666-b4fa-313d047c6793.jpgFOSS4G 2021 - UN Open GIS Initiative: Implementation of Hybrid GIS InfrastructureThe UN Open GIS Initiative is intending to provide a sustainable hybrid GIS platform (integrating open-source software GIS technology with the existing proprietary GIS platform) to effectively and efficiently support enhanced Situational Awareness and informed decision making to fulfill the core mandates of UN operations (e.g. Monitors ceasefire agreement & armed groups activities, Sustainable development, disaster risk reduction, etc.). During emergency operations, GIS and Image Intelligence significantly contribute to lifesaving operations, whether search and rescue or any other emergency operations. Having this ability, GIS has proven to minimize the cost of operations, assist in lifesaving activities, provide a common understanding of the situation through visual information of the areas of interest. UN has been utilizing geospatial technology over the past few decades and its GIS infrastructure has been built on mostly proprietary solutions. For the past years, hybrid and open-source technology have grown and matured beyond what just proprietary solutions can provide. Continuing provision of GIS services only on proprietary solution brings considerable challenges, such as limited flexibility, restrictions in data formats, high cost of licenses, limited options for scalability and mainstream, and difficulty to transfer capacity & technology to the Member States (host nations) and working partners. Where hybrid and open-source complement to effectively support UN operational and technical demands, it is complementing UN legacy GIS infrastructure, it minimizes the cost of licenses, which would optimize the cost of running and maintaining of GIS infrastructure. The hybrid and open source technology provides flexibility and streamlining of GIS process, scalability due to cost efficiency, interoperability, innovations, and has a lighter footprint on the infrastructure. Hybrid GIS architecture combines the necessary components and technical demand from both proprie...https://video.osgeo.org/videos/embed/6cecf0c1-55e5-4f9c-b5a8-fece4ef165c8https://video.osgeo.org/w/iHQfBpZ6RXwpPYs74RXyZdhttps://video.osgeo.org/lazy-static/thumbnails/34389e99-2d59-4504-976c-cc3645805063.jpgFOSS4G 2021 - Serious tech for non-serious mapsOpen Fantasy Map uses the technology stack of Open History Map to store data about fantasy worlds for role players to live their adventures in the best ways possible. The platform displays fantasy maps created via generative algorythms as well as digitized maps by artists. This also enables, thanks to the OHM technologies, to "fork" the world and have the players impacting and changing their world. Open Fantasy Map uses the technology of Open History Map to store data about fantasy worlds for role players to live their adventures in the best ways possible. The platform displays fantasy maps created in several waysa: On one hand it uses generative algorythms to create continents, countries, cities, streets, biomes, and many other elements for the players to interact with and to manage. On the other hand, it uses the tools created for Open History Map to digitize ancient maps to help artists digitize their own modern productions in order to make these maps interactively available to the players. The OHM technology stack enables also th eforking of the world into several different situations where the players can impact their own sections of the world. We want to share the experience in creating both the genrative algorythms as well as the platform. Authors and Affiliations – Montanari, Marco (1) Gigli, Lorenzo (2) , Taddia, Luca (3) (1) Open History Map (2) University of Bologna (3) Just Play Bologna Track – Use cases & applications Topic – Data collection, data sharing, data science, open data, big data, data exploitation platforms Level – 3 - Medium. Advanced knowledge is recommended. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/8f82968c-a81d-4734-ba62-cc5281d1417ehttps://video.osgeo.org/w/r1tzw243MgmRu8sySGJwUAhttps://video.osgeo.org/lazy-static/thumbnails/30b02ff6-5df9-4ad2-b6ae-20491a6b8368.jpgFOSS4G 2021 - GeoRasterLayer for Leaflet: Truly Server-Free GeoTIFF VisualizationGeoRaster Layer for Leaflet is a Leaflet plugin for visualizing GeoTIFFs on a web map. By directly reading the GeoTIFF file data and running all computations client-side in the browser, this library helps you easily put a GeoTIFF on a map without needing to run a server or write a lambda function. This talk will go over some short code examples and use cases. Familiarity with JavaScript is recommended but not required. GeoRaster Layer for Leaflet is a Leaflet plugin for visualizing GeoTIFFs on a web map. By directly reading the GeoTIFF file data and running all computations client-side in the browser, this library helps you easily put a GeoTIFF on a map without needing to run a server or write a lambda function. This talk will go over some short code examples and use cases. Familiarity with JavaScript is recommended but not required. Authors and Affiliations – Daniel J. Dufour GeoSurge, LLC Track – Software Topic – Software/Project development Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/ca857644-2a11-453a-b77a-a669585d9072https://video.osgeo.org/w/9oHiFrLGC2ENpyZGgAqDxFhttps://video.osgeo.org/lazy-static/thumbnails/700796e1-afde-4051-b6ea-d7cc34f23ecb.jpgFOSS4G 2021 - How Open Source saved the UK Economy £12BnThe UN Global Platform was developed using open source and proprietary software to enable the production of economic indicators. Using GeoMesa, Kafka, GeoServer, Python and some analytics. An indicator of pending COVID doom was provided as an indicator the UK Treasury, Cabinet Office and Bank of England. This enabled savings of at least £12Bn for the UK economy. Post the 2008 financial crisis it was identified that AIS shipping location data was a good indicator of pending doom. The UN Global Platform developed a location analytics platform for analysing AIS and ADSB data in real-time. When the call came from the UK Government to ask what the impact of COVID-19 would have on the economy, the Platform use used to develop economic indicators of pending doom. Authors and Affiliations – Mark Craddock Co-Founder & CTO Global Certification and Training Ltd Previously, Director UN Global Platform Track – Use cases & applications Topic – Data collection, data sharing, data science, open data, big data, data exploitation platforms Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/43f4ed5e-a05d-4f9f-8567-cc8545978021https://video.osgeo.org/w/8QzQaqsup2KNsv4VuJ2K3ihttps://video.osgeo.org/lazy-static/thumbnails/c17756e9-8787-4f10-881e-01213e0f7673.jpgFOSS4G 2021 - Creating Maps in GeoServer using CSS and SLDThe presentation aims to provide attendees with enough information to master GeoServer styling documents and most of GeoServer extensions to generate appealing, informative, readable maps that can be quickly rendered on screen. Examples will be provided from the OSM data directory GeoSolutions shared with the community. Several topics will be covered, providing examples in CSS and SLD, including: * Mastering common symbolization, filtering, multi-scale styling. * Using GeoServer extensions to build common hatch patterns, line styling beyond the basics, such as cased lines, controlling symbols along a line and the way they repeat. * Leveraging TTF symbol fonts and SVGs to generate good looking point thematic maps. * Using the full power of GeoServer label lay-outing tools to build pleasant, informative maps on both point, polygon and line layers, including adding road plates around labels, leverage the labelling subsystem conflict resolution engine to avoid overlaps in stand alone point symbology. * Dynamically transform data during rendering to get more explicative maps without the need to pre-process a large amount of views. * Generating styles with external tools Authors and Affiliations – Andrea Aime (1) Stefano Bovio (1) (1) GeoSolutions Group (https://www.geosolutionsgroup.com/) Track – Software Topic – Data visualization: spatial analysis, manipulation and visualization Level – 3 - Medium. Advanced knowledge is recommended. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/3f788532-290d-4058-b170-d2557aed9d99https://video.osgeo.org/w/6zAbfpTYZh67fkrmA3ZHKzhttps://video.osgeo.org/lazy-static/thumbnails/c3eaad68-ab1d-4fa1-977e-792a33d5618a.jpgFOSS4G 2021 - FOSS4G tools for data-driven decisions: Public transport services in the Buenos Aires.The Metropolitan Area of Buenos Aires is the third largest in Latin America, with millions commuters using public transport every day. As government officials we must make sense of the massive amounts of location data generated by our transport system. We used Apache Spark in combination with Geomesa in order to process over 100 million monthly GPS records from buses to create individual trajectories between terminals, infer direction of travel and derive meaningful performance indicators of transportation. We conclude that this is a great combination of tools to tackle big-geo and mobility problems of the kind expected in a big city government. Buenos Aires Metropolitan Area is home to more than 15 million people and the third largest in Latin America. In the last few years, the City Government has dedicated great resources to become an innovation leader in the region. As in most cities across the world, mobility and transportation are one of the most important aspects of life in the city with around 3.4 million daily users before the pandemic and around 2.4 million these days. As government officials, we face the challenge of making sense of the massive amount of location data generated by the public transport system. Achieving this allows us to propose and prioritize new projects, perform program impact assessments, make network and infrastructure changes, and ultimately to improve the life of citizens. In order to better understand mobility, we set ourselves to identify individual trajectories from bus GPS records. Buses are the most widespread mode of transport, and they are used in more than 90% of the total trips in the metropolitan area. We first approached this problem on a sample on a Postgres database, and quickly found that for our need of processing ~100M monthly records Postgis would not be enough. At that point, we turned to Apache Spark and Geomesa, a free and open-source suite of tools that allows geospatial analyses in a distributed fashion. ...https://video.osgeo.org/videos/embed/2d2e4cc2-ddbd-4870-941b-b498439a536bhttps://video.osgeo.org/w/3ccSB7VKosgi2DtrbE2r3xhttps://video.osgeo.org/lazy-static/thumbnails/cfbea150-74fd-400d-bafc-320247e18e68.jpgFOSS4G 2021 - Store and visualize images from a cloud infrastructure thanks to COG format and QGIS.As the number of satelite program proposing large amounts of free raster data increases (Copernicus Sentinel, Landsat…), it becomes more and more interesting to store and access massive quantity of imagery data. Given the cost and the reliability needed to store such volumes of data, there is a strong interest to use cloud infrastructure. COG format (Cloud Optimized GeoTIFF) allows an efficient and reliable access to this data directly from any server supporting the HTTP 1.1 standard. As QGIS is the most spread OpenSource GIS, it is critical for this tool to support COG seamlessly. This presentation will explain the principles of the COG format. We will then describe, step by step, how to set it up on the OpenStack cloud platform. Finally, I will demo the configuration and visualization of this raster data directly from QGIS. As the number of satelite program proposing large amounts of free raster data increases (Copernicus Sentinel, Landsat…), it becomes more and more interesting to store and access massive quantity of imagery data. Given the cost and the reliability needed to store such volumes of data, there is a strong interest to use cloud infrastructure. COG format (Cloud Optimized GeoTIFF) allows an efficient and reliable access to this data directly from any server supporting the HTTP 1.1 standard. As QGIS is the most spread OpenSource GIS, it is critical for this tool to support COG seamlessly. This presentation will explain the principles of the COG format. We will then describe, step by step, how to set it up on the OpenStack cloud platform. Finally, I will demo the configuration and visualization of this raster data directly from QGIS. Authors and Affiliations – Julien Cabieces, Developer at Oslandia Track – Software Topic – Standards, interoperability, SDIs Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/11c2c686-157e-49c7-a953-a608073d5e9fhttps://video.osgeo.org/w/cPd3m5TxvwEyQ2XSnRiVsjhttps://video.osgeo.org/lazy-static/thumbnails/daf3f4ed-7a96-4438-8b1e-139af76d3e5b.jpgFOSS4G 2021 - The state of GeoExt along with an outlook on its futureGeoExt is a JavaScript library combining the OpenLayers mapping library and the JavaScript framework ExtJS. It became an OSGeo community project in 2019. The talk will give a brief history of the project, and a summary of its dependencies and versions. Several new features recently developed for the latest GeoExt release will be presented. The talk will include an overview of two additional Open Source JavaScript libraries which bring even more power and functionality to GeoExt: BasiGX and GeoStyler. BasiGX is a higher-level JavaScript library that builds on top of GeoExt and focusses on advanced GIS user interfaces and mapping tools for the web. GeoStyler – in itself an OSGeo community project – is a JavaScript library for cartographic styling of geodata, and can be combined with a GeoExt solution to apply several formats to layers, e.g. SLD (Styled Layer Descriptor) files. The talk will include examples of real-world projects using GeoExt, along with recommendations on what types of projects are most suitable to be developed using GeoExt and its associated technologies. We'll discuss how and when newer OpenLayers and ExtJS versions will be supported, and how to combine GeoExt with other JavaScript packages. Finally a roadmap for the future of GeoExt will be outlined along with how developers and users can get involved. GeoExt is a JavaScript library combining the OpenLayers mapping library and the JavaScript framework ExtJS. It became an OSGeo community project in 2019. The talk will give a brief history of the project, and a summary of its dependencies and versions. Several new features recently developed for the latest GeoExt release will be presented. The talk will include an overview of two additional Open Source JavaScript libraries which bring even more power and functionality to GeoExt: BasiGX and GeoStyler. BasiGX is a higher-level JavaScript library that builds on top of GeoExt and focusses on advanced GIS user interfaces and mapping tools for the...https://video.osgeo.org/videos/embed/5fabe713-9866-4de5-bd57-e68d51a82c42https://video.osgeo.org/w/qdttaQNvc86gkvug8Mekabhttps://video.osgeo.org/lazy-static/thumbnails/3644fa6a-f607-494e-b6bd-63396434fc1b.jpgFOSS4G 2021 - Maritime Big Data analysis with ARLASThe maritime industry has become a major catalyst of globalisation. Political and economic actors meet various challenges regarding cargo shipping, fishing, and passenger transport. The Automatic Identification System (AIS) records and broadcasts the location of numerous vessels which supplies huge amounts of information that can be used to analyse fluxes and their behavior. However, the exploitation of these numerous messages requires tools adapted to Big Data. Acknowledgment of origin, destination, travel duration, and distance of each vessel can help transporters to manage their fleet and ports to analyse fluxes and track specific containers based on their previous locations. Thanks to the historical AIS messages provided by the Danish Maritime Authority and ARLAS PROC/ML, Gisaïa’s open-source and scalable processing platform based on Apache SPARK, we are able to apply our pipeline of processes and extract this information from the millions of AIS messages. We use a Hidden Markov Model (HMM) to identify when a vessel is still or moving and we create “courses”, embodying the travel of the vessel. Then we can derive the travel indicators. Authors and Affiliations – GAUTIER, Willi (1) Data science Department, Gisaïa, France, GAUDAN, Sylvain (2) Chief Technical Officer, Gisaïa, France FALQUIER, Sébastien (3), Data science Department, Gisaïa, France Track – Academic Topic – Academic Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/c4192e5d-299c-4cdc-abfa-66cc0b28b5b8https://video.osgeo.org/w/ttA2qvbz7bXn4aNjFLRaVPhttps://video.osgeo.org/lazy-static/thumbnails/1265d847-141b-42f0-9e95-300758b932c4.jpgFOSS4G 2021 - Implementing an open data EO platform to enable better environmental outcomes for ....Implementing an open data EO platform to enable better environmental outcomes for the UK Government. This talk presents an implementation case study for a specialist Earth Observation (EO) data processing pipeline and access portal for the UK Government, using open standards and open source tools. Details of the requirements, the technical solution and lessons learned are presented. The UK Government Department for Environment Food & Rural Affairs (Defra) is responsible for safeguarding the natural environment, supporting the UK food/farming sectors, and promoting rural economy. Defra and its agencies makes use of large volumes of geospatial data and increasingly required EO Analysis Ready Data (ARD) for a variety of applications. Defra estimated that 70% of the cost of using EO data was in the initial, often duplicated, effort of obtaining and processing data into an ARD format. Therefore, Defra adopted a 'Process Once, Use Everywhere' strategy. CGI, in partnership with Defra, delivered a solution to automatically generate and share access to ARDs openly to all Defra users, based on an open source stack. The processing pipeline was based on ARCSI and Snap, whereas the access web portal was built using GeoNode (backed by GeoServer and PostgreSQL), which exposed a variety of the standard OGC-services for downstream applications, all hosted in Microsoft Azure. The talk illustrates a number of features to support better access that were added to the core components, demonstrating the extensibility of open source software: * Developed additional GeoNode catalogue filters, eg search by user-defined geometry. * Extended the GeoNode api to improve generating cloud-free mosaic imagery by eliminating problematic split sentinel-2 granules. * Developed a python wrapper client for the existing OGC WPS to improve automated processing workflows. * Exposing the GeoServer layergroup type to allow users to combine data easily via the GeoNode portal and via a rest API. This imp...https://video.osgeo.org/videos/embed/de80cb41-841c-4dc0-83c4-ccd515b664bdhttps://video.osgeo.org/w/qj8XwgTevoqeHkXUDhtUE9https://video.osgeo.org/lazy-static/thumbnails/24ee1a90-aa9a-4880-ad04-de37e7a3492f.jpgFOSS4G 2021 - Geoscan: spatial data country profileFor international development agencies, timely and accurate geospatial data is an essential tool for evidence-based decision-making. Yet gathering, analyzing, and presenting geospatial data is a complex and time-consuming activity that requires a specialized skill-set. This presentation shares the experience of an Innovation Challenge project implemented at the International Fund for Agricultural Development (IFAD) - a specialized UN agency and financial institution. The main goal was to minimize the time and knowledge required to gather and process a vast array of relevant geospatial layers, providing a standardized approach applicable to every country of operation in IFAD’s activities. This objective was achieved via the implementation of automation procedures using open source tools, which resulted in a reduction of the required processing time by a factor of 40 (from 2 weeks to 2 hours). GeoScan is based entirely on an open-source technological stack and uses the latest, verified data sources, providing various levels of users with different information products: automated pdf atlases, ready-to-use GIS data, metadata and web services, web applications, and an interactive user dashboard. The project included the following activities: Data needs evaluation, relevant to the international development sector and aligned with IFAD’s strategy in the agricultural environment in rural areas. Literature and data review to match the identified data needs. Data selection, validation, and detailed documentation on the selected geospatial layers. Data standardization and ontology with automated processing for data structuring, visualization, and statistics calculation. Preparation and generation of automated country reports and structuring the data in GIS data packages. Integration with the enterprise GIS infrastructure in IFAD. Development of interactive web GIS application and dashboard. The project made extensive use of QGIS, GDAL, Postgre/PostGIS, Geonode, G...https://video.osgeo.org/videos/embed/c4e39e9a-7d73-4828-8174-f7036027decchttps://video.osgeo.org/w/sg4GFLovgoTjv7LRubcnvyhttps://video.osgeo.org/lazy-static/thumbnails/7164f9aa-f81d-48b4-86d5-e78d5a6eb112.jpgFOSS4G 2021 - Open History Map - Architecture of Time-space mappingIn the last years Open History Map presented at FOSS4G single specific tools created to display the world of the past. These tools are now integral parts of the OHM platform that is now finally visible and usable. With this presentation we want to share the architecture of the openhistorymap platform and all of the open source tools connected to it, the challenges we faced in the deployment, the techs we had do deploy to manage almost 2TB of vector data and 6TB of images in order to display the changes in the world of the past. Authors and Affiliations – Marco Montanari (1), Lorenzo Gigli (2) (1) Open History Map, (2) University of Bologna Track – Use cases & applications Topic – Open and Reproducible Science Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/d4a80af6-9a50-4452-948a-556c53c332behttps://video.osgeo.org/w/5gCx2LQH8imgi384H4bUdphttps://video.osgeo.org/lazy-static/thumbnails/a5e0948e-a3a0-47eb-b2eb-d51d9154fb39.jpgFOSS4G - OpenAQ: An Open Air Quality Platform and Global EcosystemOpenAQ is the largest, open source air quality data platform, hosting 5+ billion real-time and historical measurements from 120 countries, and serving an average of 35 million API requests per month. The data have been used for a wide variety of applications, from air quality forecasts produced by NASA scientists to platforms communicating air quality in India to data-driven media reports by the general public. By providing this foundational data infrastructure, OpenAQ is able to convene people and organizations from across the globe to further raise awareness and develop innovative solutions to combat air pollution. The talk will give a technical overview of the platform, highlight the impact through user stories, and feature new tools developed with the community to enhance the platform and effectively use the data to fight for clean air. Air pollution, responsible for one out of eight deaths around the world, is a global environmental and public health crisis. Despite the urgency of this growing problem, only 50% of governments worldwide produce air quality data, leaving 1.4 billion citizens without access to fundamental information that could protect them from the harmful effects of air pollution. Where data does exist, data are often in inconsistent and temporary data sharing formats, making it difficult for the public to readily access and make use of the data. The OpenAQ platform aggregates and harmonizes real-time and historical air quality data from 120 countries from a variety of sources including reference-grade government monitors to community-led low-cost sensors to research-grade data. The open source platform hosts 5+ billion data points and the open API serves an average of 35 million requests per month. The data has been used for a wide variety of applications, from air quality forecasts produced by NASA scientists, to platforms communicating air quality in India, to data-driven media reports. By filling a basic data-access gap and building foun...https://video.osgeo.org/videos/embed/22933a08-570a-4455-af60-5b2b4265f5bfhttps://video.osgeo.org/w/etLv7aM4faA8GAJy6Fg7nehttps://video.osgeo.org/lazy-static/thumbnails/19d85687-34a6-47cf-98eb-cbc6b40233d8.jpgFOSS4G 2021-Terristory : a sustainable energy observatory becoming a mutualized nation-wide platformTerristory is a web platform providing a sustainable energy observatory oriented towards decision-makers and territory planners. AURA-Energie Environnement is a French association acting on account of the Auvergne-Rhône-Alpes region to promote sustainable energy. Aura-EE started the Terristory project a couple of years ago, in order to put their data on the web. Energy data is geographic by nature, and one of the main aspect of managing energy is being able to observe its characteristics on a given territory. From a simple data viewer, Terristory evolved into a full platform for data observation. Dynamic graphs have been added, and some advanced features like : - create scenarii on Energy equipment ( e.g. build a methanizer ) - impact of decisions on local employment Terristory is based on OpenSource software : PostGIS, Python, OpenLayers, Vector tiles… The full code for the Terristory platform itself is opensource and will be published publicly in 2021. Terristory was initially funded by a single actor and deployed in a single region. In 2020, the project accelerated : it evolved into a consortium to support the platform and deploy it in other regions. This evolution made Terristory a national project, and a reference platform for energy data visualization. This mutation is interesting on multiple levels, as it is totally coherent with an opensource project : - from a simple project to a full platform - from a single developer from a single company to multiple developers from various origins - from a single funder to multiple funders organized as a consortium - from a single actor for roadmap definition to a mutualized roadmap This transformation makes the project's history and experience unique. The battle for climate is open, and platforms such as Terristory have a strong role to play. It should be an inspiration for any project oriented towards opensource, opendata and resource mutualization. Terristory is a web platform providing a sustainable energy o...https://video.osgeo.org/videos/embed/6d274f41-e67a-4a62-9d24-aa830833f48fhttps://video.osgeo.org/w/1VX7T1qbonF1uhc6ShLDpvhttps://video.osgeo.org/lazy-static/thumbnails/4471fe58-de43-4546-aaeb-4e5c265222f1.jpgFOSS4G 2021 - Crunching Data In GeoServer with Discrete Global Grid Systems (DGGS)Discrete Global Grid Systems are a way to tessellate the entire planet into zones sharing similar characteristics, with multiple resolutions to address different precision needs, allowing integration of data coming from different data sources, and on demand analysis of data. Come to this presentation to have an introduction to the DGGS concepts, learn when they are a good fit for a specific problem, and get an update on their implementation in GeoServer. GeoServer is a web service for publishing your geospatial data using industry standards for vector, raster and mapping. It powers a number of open source projects like GeoNode and geOrchestra and it is widely used throughout the world by organizations to manage and disseminate data at scale. Discrete Global Grid Systems are a way to tessellate the entire planet into zones sharing similar characteristics, with multiple resolutions to address different precision needs, allowing integration of data coming from different data sources, and on demand analysis of data. The presentation will introduce: * Basic DGGS concepts * The Uber H3 and the rHealPix DGGSes, comparing and contrasting their structure and use cases * A OGC API exposing DGGS for data access, and another, DAPA, for data analysis * GeoServer implementations of the DGGS concepts and APIs, based on a ClickHouse OLAP database. Come to this presentation to have an introduction to the DGGS concepts, learn when they are a good fit for a specific problem, and get an update on their implementation in GeoServer. Authors and Affiliations – Andrea Aime (1) Simone Giannecchini (1) (1) GeoSolutions Group (https://www.geosolutionsgroup.com) Track – Software Topic – Software/Project development Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/0788634a-d9df-4ec4-b9fc-b496ca015767https://video.osgeo.org/w/emdJZiGSNJguvEVAbqCwyHhttps://video.osgeo.org/lazy-static/thumbnails/2841d639-09be-4a4e-8119-49903191ea49.jpgFOSS4G 2021 - The Borked Supply Chain. How the Telekom brings FOSS Projects into Stable ProductionThis talk focuses on aspects of transitioning Open Source software projects into productive environments. The Deutsche Telekom AG has set out to use FOSS software to build a comprehensive geospatial data management and processing environment based on cloud technology. Some components (like PostGIS and QGIS) are used as COTS (commercial off the shelf) products. Others (like GRASS GIS) are used as libraries to implement intricate parts of an incredibly specific process to dig optimized trenches for fiber optics cables throughout Germany. The project uses agile methods to implement this architecture with FOSS products and projects and hand crafted implementations to achieve it's objectives. If we use the analogy of a bridge across a deep valley to achieve the objectives, then it feels like going full speed on a downhill bike, jumping into thin air and reaching the other side of the valley in a truck carrying internet access for millions landing on a concrete bridge that has manifested halfway through. A bit frightening, but so cool! That's FOSS! Before going into implementation details we have to clarify some terminology: In the physical world, a project is planned for a specified time with a specified budget and clearly defined objectives. Think: building a bridge. It will be unique because it spans across a specific valley and has to account for a specific geology and specific use (people, donkeys, cars, trucks, trains or electrons). Building the bridge will require a plan, excavators, trucks, steel, concrete, asphalt, cables and so on. When the project is "done" people, goods and electrons can cross the bridge: Even donkeys can use it. Another example for the same terminology in a different context is the process of making a new car. This will start with a project focused on achieving the objective of making a new car. Once the car has become a reality, the project ends. The product itself gets reproduced (and sold) as often as possible to allow people to drive ...https://video.osgeo.org/videos/embed/6c1987ae-82c4-4ee2-9856-34db395f5201https://video.osgeo.org/w/rKkChiqCcyoXmKvAZiJsiMhttps://video.osgeo.org/lazy-static/thumbnails/5780aca7-fb00-453c-a1b1-a7e6263cc836.jpgFOSS4G 2021 - Input, Mergin & QGIS: collect data, sync, and collaborate with easeWith Input app- QGIS - Mergin software, users can easily create and manage survey projects for data collection. Input app is a free and open source software based on QGIS and available for Android and iOS. With the built-in service for synchronisation and storing the data, users can easily create, transfer and manage their survey project for field data collection. "Input app is a free and open-source mobile app for Android and iOS. Input app is based on QGIS with a simplified and intuitive interface for easy data collection in the field. The app comes with a built-in synchronisation tool, called Mergin service, enabling users to collaboratively edit the same data. In addition, the Mergin service can: 1- be accessed in QGIS, through a plugin to sync data from your PC 2- linked to a Postgresql/PostGIS database for offline use 3- generate work-packages for efficient survey "team management" Authors and Affiliations – Razmjooei, Saber (1) (1) Lutra Consulting, UK Track – Software Topic – Data collection, data sharing, data science, open data, big data, data exploitation platforms Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/d0818b14-1acb-4bd7-b040-a798f1d756efhttps://video.osgeo.org/w/wJe4eueGFJY11t2VZ8r2iohttps://video.osgeo.org/lazy-static/thumbnails/cdbd7c6a-0af8-410c-9382-3535ee3e5536.jpgFOSS4G 2021 - News from actinia„Hello, my name is actinia. Some of you might know me already. I became an OSGeo Community Project in 2019 and my first appearance on a FOSS4G conference was in 2018 where I was presented in a talk. For those of you who do not know me yet - I have been developed to exploit GRASS GIS functionality via an HTTPS REST API with which GRASS locations, mapsets and spatio-temporal data are available as resources to allow their management and visualization. I was designed to follow the purpose of bringing algorithms to cloud geodata, the daily growing big geodata pools in mind. I can be installed in a cloud environment, helping to prepare, analyse and provide a large amount of geoinformation. But also for those who do know me already - do you know the details about what happened the last 2 years? A lot! Usage of interim results, helm chart, enhanced exporter, monitoring of mapset size, QA enhancements and a split of my plugins including module self-description of more than 500 modules are some key words to just name a few. With the ongoing development of the openeo-grassgis-driver, you can talk to me either in my native language or via openEO API. I would also like to tell you some interesting facts about me interacting in different projects. So come on over!“ „Hello, my name is actinia. Some of you might know me already. I became an OSGeo Community Project in 2019 and my first appearance on a FOSS4G conference was in 2018 where I was presented in a talk. For those of you who do not know me yet - I have been developed to exploit GRASS GIS functionality via an HTTPS REST API with which GRASS locations, mapsets and spatio-temporal data are available as resources to allow their management and visualization. I was designed to follow the purpose of bringing algorithms to cloud geodata, the daily growing big geodata pools in mind. I can be installed in a cloud environment, helping to prepare, analyse and provide a large amount of geoinformation. But also for those who do know ...https://video.osgeo.org/videos/embed/f8d771ab-5f73-4bde-ac0e-2187a304fbcchttps://video.osgeo.org/w/c64bP1MB6xA6fz5bfTSbfNhttps://video.osgeo.org/lazy-static/thumbnails/36fdf05f-178a-4481-ac66-c82353c442d2.jpgFOSS4G 2021 - FOSS4G based high frequency and interoperable lake water-quality monitoring systemLakes ecosystems are exposed to growing threats due to climate change and other anthropic pressures. For example, water warming is predicted to favour harmful algal blooms (HABs) that are toxic to peoples and animals. In addition, warming tends to increase the thermal stratification of lakes and reduce turnovers, which can lead to oxygen depletion in deep layers and release of toxic gases (methane, hydrogen sulphide) from sediments. Similarly, the increased use of plastics has produced nano- and micro-plastics pollution which, together with anthropogenic micropollutants, is posing a new emerging risk factor to lake biota. To effectively study and manage those issues, researchers and managers need monitoring data (observations) to derive effective data-driven management policies. Observations have traditionally been collected from limnological vessels through periodic (often monthly) monitoring campaigns, during which water samples are collected for further analyses in the laboratory and various measurements are performed using on-board instruments (e.g. CTD sonde measuring Conductivity, temperature and Depth or Secchi disk to observe turbidity). However, environmental issues including HABs and changes in lake stratification due to warming, call for a shift towards monitoring approaches that allows higher-frequency (e.g. hourly od daily) automatic collection of key water-quality properties (e.g. phytoplankton concentration, temperature, dissolved oxygen). Therefore, to match current challenges, leverage better phenomena understanding and activate proactive measures, monitoring systems have to be updated to provide a better temporal and spatial resolution. At the same time, this development should not increase the costs of monitoring, which are often a limiting factor in lake management. Authors and Affiliations – Massimiliano Cannata proffessor of geomatics at the Institue of Earth Science, SUPSI, Switzerland. Track – Academic Topic – Academic Level – 2 - Basi...https://video.osgeo.org/videos/embed/59c93531-dc15-4783-8f30-5c70bda43502https://video.osgeo.org/w/ev4E81QdpmThCkAxMJGTjChttps://video.osgeo.org/lazy-static/thumbnails/20673005-54e6-4be8-8372-04a28e553d13.jpgFOSS4G 2021 - Natural Catastrophe Response Requires Friendly Tools & SAR ImageryClimate change has immediate and observable impacts on Earth. The increase in natural catastrophes and our lack of community and global readiness is apparent. Commercial, affordable SAR constellations will result in the decentralization of Earth observation, improving natural catastrophe responsiveness, resilience, and broader community engagement. SAR sensors, with the ability to observe the Earth in ways entirely inaccessible by optical and infrared sensors, present a unique capacity to quantify catastrophic impact and plan for future improvement. But SAR imagery alone is not enough: the high resolution, coherence, and frequency of revisit are only as good as the tooling shared to facilitate insights and actions. Many tools are currently available, but can also be a challenge to scale with modern cloud resources as they are often developed by scientists for scientists or locked in classified government environments. What types of open source tools are required for sustainable solution development with SAR and how can we improve existing open source contributions as we exponentially collect imagery? How can we liberate knowledge often owned only by SAR experts? In this talk, we will discuss natural catastrophe solution development at ICEYE with high temporal and spatial resolution SAR and how we overcome the challenges through partnerships such as with ESA Phi-Lab and the ESA Third Party Mission (TPM) program. Authors and Affiliations – Strong, Shay ICEYE, Finland Track – Use cases & applications Topic – Data collection, data sharing, data science, open data, big data, data exploitation platforms Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/6d55a032-c87a-4ada-ab8d-4ae4ac91c424https://video.osgeo.org/w/gwDjm4FrQMzwSChBqT5ZZahttps://video.osgeo.org/lazy-static/thumbnails/82075dbe-a603-488f-b650-be4061bdb3d4.jpgFOSS4G 2021 - Enjoy your trip. Customize and print your map!!Nowadays we are used to consume cartography through the screen of a computer or a mobile device by means of map viewers, so that we interactively select the portion of territory we are interested in explore through a continuous territory without the traditional sheet limits of paper maps. Based on this current way of consulting geographic information, taking advantage of the possibilities offered by new technologies and preserving the essence of paper maps, the CNIG (Spanish National Centre for Geographic Information) has developed the on-demand cartography project "Mapa a la Carta” (“Map on Demand”), which highlights its cartographic information and its integration through OGC services. It is an application where the user can configure the map to their own taste and needs, allowing the choice of the portion of territory that the map will contain, the scale (within a range) and even the personalisation of the title and cover of the map. It also allows drawing points, lines and polygons on the cartography that can be labelled, or inserting other geographic data such as those that can be registered on a route on foot by means of a GPS, or other types of information downloaded from the Internet in different formats. For the development, a solution has been designed consisting of several Open Source software components. The front-end, an intuitive environment programmed in React JS, interacts with the spatial reference information by consuming the map services provided by the API-IGN, the IGN Search geographic name searches, as well as the OGC WMTS visualisation services of IGN cartography. This set of services allows the user to define the conditions of the desired map that MapFish will finally generate, in high resolution PDF format. It is very important to highlight the integration of the information with COG (Cloud-Optimized Geotiff) formats for high-resolution printing using GDAL. With all this, we go from being users or readers of cartography to creators of new...https://video.osgeo.org/videos/embed/7dc063d6-89da-43e5-a179-6ff52978ae87https://video.osgeo.org/w/vW3Y2dMPiW8sBP2z5mkRcYhttps://video.osgeo.org/lazy-static/thumbnails/6a9ec315-1bfc-4982-b9df-20072b65e0de.jpgFOSS4G 2021 - Visualising trajectories in 3DThe free and open-source GIS application QGIS offers a wide range of visualisation and export options. By the use of plugins one can extent these capabilities in many ways. This talk will show how trajectories, like movement recordings of humans, animals or machinery, can be turned into interactive 3D visualisations and embedded in a website using the qgis2threejs plugin. In this demonstration a map of a hiking trip will be compiled, then enriched with elevation data and photos, turned into a 3D map and finally exported as a webpage. The free and open-source GIS application QGIS offers a wide range of visualisation and export options. By the use of plugins one can extent these capabilities in many ways. This talk will show how trajectories, like movement recordings of humans, animals or machinery, can be turned into interactive 3D visualisations and embedded in a website using the qgis2threejs plugin. In this demonstration a map of a hiking trip will be compiled, then enriched with elevation data and photos, turned into a 3D map and finally exported as a webpage. The free plugin qgis2threejs provides most of these possibilities with a focus on web export, and will be the main driver of this talk. But considering QGIS' native 3D view becoming more and more stable, its pros and cons will also be briefly discussed and shown. Aspects that will be discussed include: - Weighing up between resolution (texture and terrain) versus data size and performance - Visualisation options for geo features - Labeling options - Decorations - Customisation of the export outside the plugin - Hosting the result on the web Authors and Affiliations – Kröger, Johannes (WhereGroup GmbH, Germany) Track – Use cases & applications Topic – Data visualization: spatial analysis, manipulation and visualization Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/f2650333-bcde-4ec7-a4de-648a7b3b4912https://video.osgeo.org/w/syA5bNWvcnYL3hp2AbEJBihttps://video.osgeo.org/lazy-static/thumbnails/3eca62a8-dfc6-4d2f-9fe9-a11eb3a90108.jpgFOSS4G 2021 - OGITO – an Open Geospatial Interactive Tool to support collaborative spatial planningCollaborative spatial planning tackles problems that often require the active participation of different stakeholders who might have different kinds of knowledge, values and interests. Maptables, specifically large horizontal touch screens, can be used to support collaborative spatial planning processes given the enhanced communication and playful environment they provide. However, frequently used applications for maptables, i.e., GIS software, do not exploit the touch capabilities of these instruments or have usability shortcomings because they were conceived for a single-user setting. To address this gap, we developed and evaluated an open source application coined OGITO - Open Geospatial Interactive Tool. We combined human-centred design methods and Agile software development principles involving stakeholders and intended users in an iterative co-creation process of the tool and evaluated the tool’s usability in a case study on community mapping in Sumatra, Indonesia. We found that case study workshop participants, who never used a maptable before, could use OGITO without assistance after receiving a short instruction. They reported high satisfaction with OGITO for the tasks and context given. This result shows the added value of iterative development and user feedback for improving and further development of the tool’s usability and functionality. Furthermore, the platform provided by OGITO facilitated the group interaction allowing for communication and collaboration when creating maps. This experience would contribute in building trust and mutual understanding, which might help participants to collaborate in other community initiatives. The main observed benefits of using OGITO were: a) simple to use as it only requires a small room and a facilitator during the map-making process; b) that it accommodates capturing of participants' local knowledge that is priceless and rich with information that might not be transferrable or explicitly spoken; c) that it r...https://video.osgeo.org/videos/embed/d71a674d-79af-440c-917f-c24179fd0f77https://video.osgeo.org/w/m2mSzAR7sLxRUEo5vEXQ3Phttps://video.osgeo.org/lazy-static/thumbnails/93676e65-1415-4830-b3b7-92a58055ad2b.jpgFOSS4G 2021 - There and Back Again: Lessons learned in transitioning from GeoServer to MapProxyThe hurdles we encountered when transitioning a project from a single GeoServer instance to an autoscaling MapProxy system while trying to mimic existing functionality. The hurdles we encountered when transitioning a project from a single GeoServer instance to an autoscaling MapProxy system while trying to mimic existing functionality. Authors and Affiliations – James Banting, Sparkgeo Tom Christian, Sparkgeo Track – Use cases & applications Topic – Software/Project development Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/a227613c-adb1-4c34-a4d0-52522d6e237bhttps://video.osgeo.org/w/9ax4bM3DhWJDdZe8zAp5kNhttps://video.osgeo.org/lazy-static/thumbnails/2f7a1131-17b6-4c4c-aa4e-39c50543f6be.jpgFOSS4G 2021 - GARBAL: An open GIS for livestock herders in Mali and Burkina FasoLivestock herders in Mali and Burkina Faso live under the twin threat of drought and armed conflict. Moving their herds to find pasture and water depends critically on access to reliable information. This talk discusses a call center that uses open Earth Observation imagery and field data to provide herders with information on pasture, water and market conditions. The talk will go over the architecture of the data treatment, demo the interface, talk about successes and failures and show how you can play with the data yourself. Transhumance, or the seasonal movements of livestock herds to find pasture and water, is a centuries-old tradition in Mali and Burkina Faso. The process of selecting routes for movement hinges on a complex network of factors including customary access rights, pasture growth, rainfall, surface water, among others. However, years of climate change and armed conflict have made herding more precarious and prone to rapid changes. As a result, access to data on environmental and market conditions is critical for pastoralists. While satellite imagery has made much of this information readily accessible to the spatial community, few channels exist to transmit this information to herding communities. In 2015, the GARBAL call center was built to provide this data to herders in Mali and Burkina Faso. The call center is powered by an open platform GIS built from remote sensing data on vegetation and water and field data on market prices and animal conditions. Herders calling the center are connected to an agent who uses dashboards to respond to their questions: Is pasture available near me? Is it crowded by other herds? Can I sell my goats for a good price? The call center’s goal is to provide herders with decision-making support in planning their routes. The interface is built on mapserver and uses automated scripts to download and treat Sentinel 2 satellite imagery which then display information on pasture conditions and water availability. Field ...https://video.osgeo.org/videos/embed/421df105-6da0-49c1-b03c-35797b48c1a4https://video.osgeo.org/w/cHF54M9E6U6MccgQ54eTsfhttps://video.osgeo.org/lazy-static/thumbnails/4adbd487-8eab-4b4f-beee-613741a922e9.jpgFOSS4G 2021 - State of MapServerMapServer is an OSGeo project for publishing spatial data and interactive mapping applications to the web [1]. 2021 will see the 8.0 release of MapServer [2]. An overview of the performance boosts, security updates, code quality improvements, and new features such as an initial OGC API implementation, and PROJ 6+ support. An update will be given on the MapServer ecosystem - including new sites from the MapServer gallery, related projects such as MapCache [3], and the various distribution channels. Finally we'll look at how to become a part of the MapServer community and help with the continued success of the project. [1] https://mapserver.org/ [2] https://github.com/mapserver/mapserver/wiki/MapServer-8.0-Release-Plan [3] https://mapserver.org/mapcache/ The MapServer PSC will be working towards providing the MapServer user base with an annual update on project news and developments. Content covered in Abstract above. Authors and Affiliations – Girvin, Seth (1) MapServer PSC (2) Track – Software Topic – Software status / state of the art Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/5ee618fe-1e65-49b2-adf0-70e4f7470456https://video.osgeo.org/w/7sAEqJhUzgCWDmupqLh5ZAhttps://video.osgeo.org/lazy-static/thumbnails/2ef60e19-c557-4a08-b189-788e89d71730.jpgFOSS4G 2021 - An overview of GeoInformatics: State of The Art Techniques for Landslide Monitoring ..An overview of GeoInformatics: State of The Art Techniques for Landslide Monitoring and Mapping Authors and Affiliations – Yordanov, Vasil (1,2) Biagi, Ludovico (1) Truong, Xuan Quang (3) Tran, Van Anh (4) Brovelli, Maria Antonia (1,5) (1)Department of Civil and Environmental Engineering (DICA) Politecnico di Milano, Piazza Leonardo da Vinci 32, Milan, Italy - (vasil.yordanov, maria.brovelli, ludovico.biagi)@polimi.it (2)Vasil Levski National Military University, Veliko Tarnovo, Bulgaria (3)Information Technology Faculty, Hanoi University of Natural Resources and Environment, 41A Phu Dien Road, Phu Dien, North-Tu Liem district, Hanoi, Vietnam - txquang@hunre.edu.vn (4)Dept. of Geomatics and Land Administration, HUMG, HaNoi University of Mining and Geology, 18 Vien Street, Bac Tu Liem, Hanoi, Vietnam- tranvananh@humg.edu.vn (5)Istituto per il Rilevamento Elettromagnetico dell’Ambiente, CNR-IREA, via Bassini 15, 20133 Milano – maria.brovelli@polimi.it Track – Academic Topic – Academic Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/344d8811-a1dc-4996-b9ea-569ce791bd9chttps://video.osgeo.org/w/5Mno2hxoS7jycsG8c1f4tQhttps://video.osgeo.org/lazy-static/thumbnails/b7ed6edf-de5b-46a6-8621-17eb19417d01.jpgFOSS4G 2021 - Supporting forest climate adaptation planning with point cloud analytics ...Supporting forest climate adaptation planning with point cloud analytics for nontraditional geospatial users In fire adapted forests, three dimensional structural characteristics are critical factors in drought and fire resilience. Public point cloud repositories such as the USGS 3DEP program, Opentopography.org, and in the future the Earth Archive, are critical data infrastructure for climate adaptation planning. As we collectively face escalating climate hazards, the value in deploying operational geospatial tools for managing risk grows. Historical forest management in the Western United States has resulted in declining resilience. To stabilize above ground carbon pools and secure critical ecosystem services, the State of California and the US Forest Service have committed to treating 400,000 hectares of forest per year through 2030. These typically involve strategic mechanical thinning coupled with application of beneficial low to moderate intensity fire. These programs are often planned and implemented through shared stewardship agreements between government agencies and implementation partners from nongovernmental organizations, First Nations governments, and local jurisdictions. Large government land managers and industrial forest operators have typically used commercial enterprise geospatial software for data driven decision support. Software licensing restrictions create arbitrary barriers between partners. The proliferation of nontraditional climate planners and the need for long term reproducible data science products have created an important opportunity for the FOSS4G community. The California Forest Lidar Collaborative has been providing technical support and training to a diverse user community to apply point cloud analytics to a broad range of forestry problems. This program has facilitated the adoption of data science pipelines using Python, R, PDAL, GDAL, GRASS, and QGIS. This results in transparent environmental compliance processes, democrati...https://video.osgeo.org/videos/embed/26ba3332-c68e-4c18-8d6c-eabbaf6e618ahttps://video.osgeo.org/w/8w5JiDJ5bivutGUv5c1WK4https://video.osgeo.org/lazy-static/thumbnails/16416299-b980-4e63-8510-954800d76df3.jpgFOSS4G 2021 - Create dynamic content of the map ‘on the fly’This presentation will introduce a high level idea of creation of a web service that returns the map content generated "on the fly". It will show how to implement any custom logic, analysis, data calculation, data interoperability and present the output on the map within the request's time span. In the heart of the service you will see Mapserver-Mapscript library. Nowadays building a web-mapping system to show maps from static data like vector and raster files seems to be an obvious task. For more complex solutions we need to make the mapping system “more intelligent”. The content of the map should be calculated, processed, transformed, fetched, created “on the fly” depending on some specific logic. To implement it, we need the proper architecture, technology and solution. Not each way is optimal, fast, smart and easy enough. Sometimes technology exploration is time consuming but the solution could be very simple. This presentation will give you some idea of creating a web service which returns the dynamic map content using Mapserver-Mapscript library and Geoserver. Authors and Affiliations – Bartlomiej Burkot Requirements for the Attendees – To understand the web mapping system structure: Understand what is WMS, basics of programming, networking. Track – Software Topic – Software/Project development Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/3ce332c4-3ceb-4903-9871-5e990f54dac9https://video.osgeo.org/w/2q2Mh6gjM7JgxKEcAV5hPthttps://video.osgeo.org/lazy-static/thumbnails/3a098f20-02ac-4979-9590-01b4cbf92976.jpgFOSS4G 2021- Evolving Imagery Visualization with Open Source DevelopmentBayer Crop Science has engaged in a multi-year collaboration with Sparkgeo Consulting to deliver an evolving set of spatial imagery search, discovery, and visualization capabilities built on top of open source geospatial software. Initial solutions integrated CKAN, Geoserver, and Geotrellis to pre-render custom tilesets for derived analytic outputs. This process proved difficult to scale with increasing ingest rates and led to standardizing imagery pipeline outputs on Cloud Optimized GeoTIFFs(COGs) with rio-tiler, pyproj, GDAL , Shapely, and Rasterio for processing to define dynamic rendering visualization products in a newly developed STAC-compliant catalog. The Sparkgeo team has written a custom Global Imagery Search tool for our corporate OpenLayers-enabled application framework which combines event-based per-scene visualization processing with STAC search results and TMS-to-COG range/column searches. The Global Imagery Search tool also allows client/application side dynamic color map rendering. This presentation will describe the evolution from tilesets to dynamic rendered tiles and the customizations within STAC-collections needed to achieve this. This presentation will describe the implementation challenges of scaling inputs and processing pre-rendered tilesets for application visualization and how the decision to re-direct to a COGs + STAC cloud implementation has met our scaling objectives. Authors and Affiliations – Martin Mendez-Costabel – Bayer Crop Science Paul Trudt – Bayer Crop Science Will Cadell – SparkGeo Consulting Dustin Sampson – Sparkgeo Consulting Joe Burkinshaw – Sparkgeo Consulting Angelo Arboleda – Sparkgeo Consulting Track – Use cases & applications Topic – Business powered by FOSS4G Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/0b741624-f8a1-4201-aa07-160dce7c29f1https://video.osgeo.org/w/fa3mPuZGiLQMozWY2XnAsphttps://video.osgeo.org/lazy-static/thumbnails/7377b269-e698-4200-a7b9-e5265976e68a.jpgFOSS4G 2021 - Iaso: all-in-one platform for data collection and geographical registryIaso is a platform created to support geo-rich data collection efforts, mainly in public health in emerging countries. The key feature that it supports is that any survey is linked to an organizational unit that is part of a canonical hierarchy. Each one of these org. units can have a location and a territory. The mobile data collection tool can be used to enrich this hierarchy with additional GPS coordinates, names corrections, etc ... which can then be validated by officials of the organizations in question through the web dashboard (this is consequently similar in some aspects to OpenStreetMap, but with validation before integration in the reference dataset). This leads to continuous improvements of the geographic references available through the routine activities already planned (e.g. locating and registering health facilities while investigating malaria cases). The tool has been used in multiple data collection efforts, notably in health services in D.R. Congo, Niger, Cameroon, Mali and Nigeria and is more and more used to compare multiple versions of official organisational hierarchies when a canonical one needs to be rebuilt. We are for example working on such efforts to rebuild a school map for DRC with the NGO Cordaid. To help for this type of project, we provide location selection interfaces, multiple levels of audits and an API open to data scientists for analysis and mass edits. This presentation will demo the main features of the platform, and give some context about its creation. Iaso has been created by the company Bluesquare (https://bluesquarehub.com/, based in Belgium), specialised in software and services for public health, and has become open source under the MIT License in November 2020. It is still under heavy development, but is already the basis of at least a dozen projects. On the roadmap, we have features for a patient registry, monitoring tools for data collectors, and microplanning activities (producing routes for monitoring teams...https://video.osgeo.org/videos/embed/72a316c3-a83f-45ac-aa02-c0c1664a741bhttps://video.osgeo.org/w/2jTaH1FQubfge6mkKuDueDhttps://video.osgeo.org/lazy-static/thumbnails/b4f2c042-2a2c-42c2-b07d-403697381d2c.jpgFOSS4G 2021 - Case study of data storage for preservation of our archiving system at ....Case study of data storage for preservation of our archiving system at the National Geographic and Hydrographic Institute of Madagascar So far, we are storing and backing up with the aim of preservation our national heritage numerical data such as vector and raster databases, cartographic and geodetic works, old photography and other documents; whatever their nature and their physical supports are (numeric cartridge, floppy disks, optical magnetic disks, CD-R and DVD-R). In fact, resources are scares and Open Source gives us the advantage of using these resources more efficiently; we are taking advantages from them to make our organization better with QGIS and PostgreSQL/PostGIS to migrate from Shapefiles to rows. Our methodology might be elementary but as far as we believe, not only we would like to share our experiences from our lessons learned; but also developing countries might have same problematic as us regarding to how to preserve their old heritage data. At the end, we would like to present our future long term objective related to the creation of a metadata portal for rational management and optimal use of this archiving system. This talk will gives audiences a basic concept related to data storage by using progressively FOSS4G. Keywords are PostgreSQL/PostGIS, QGIS and Shapefiles to rows. Authors and Affiliations – BAOVOLA Marie Anna, National Geographic and Hydrographic of Madagascar Track – Use cases & applications Topic – Government and Institutions Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/0abc0f3d-3f7a-4b90-b272-59191350762fhttps://video.osgeo.org/w/gEYFYzR7E1gfgpXwq3A1Zuhttps://video.osgeo.org/lazy-static/thumbnails/855e6c0e-a197-479d-83ff-c66334a25fa8.jpgFOSS4G 2021 - Optimized publishing of map and dataservices with GeoServer, GeoStyler and MapProxyAt the beginning of this century, the very existence of geo-services based on an uniform API like WMS aroused admiration. Today, having more than 10 years of INSPIRE behind us, this question often no longer arises. With software-projects like UMN MapServer, GeoServer, deegree or QGIS Server – to name just a few – there are notable solutions that can be used to transform geodata into standardized services. Once your data is published as WMS (or WFS, e.g.), one can rely on many additional tools, functions and interfaces. Thus a non-experienced user is confronted with many tools but also with the question on which tools can be used to achieve an optimal result for his or her personal task. The talk presents one Open Source toolset for the set-up of geodata-services that consists of GeoServer/GeoWebCache, GeoStyler and MapProxy. In my talk I will present one rock-solid possible solution for the setting-up of high-performance geodata-services. The presented solution has proved its usability and is the base for the world wide open and widely used OpenStreetMap basemap-service „ows.terrestris.de“. The talk focusses on the OSGeo project GeoServer but will also present the OSGeo Community Projects GeoStyler and MapProxy. The solution is vividly presented by means of a few examples and the talk is peppered with some hints on styling, performance tuning and caching of services. Authors and Affiliations – Adams, Till Jansen, Marc terrestris GmbH & Co KG Germany Track – Use cases & applications Topic – Data visualization: spatial analysis, manipulation and visualization Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/7eea4775-d3d1-43e3-b8dd-ecd533417176https://video.osgeo.org/w/p9mwpLscJkHCXPaFrwEFuPhttps://video.osgeo.org/lazy-static/thumbnails/391fcf46-1c33-42ed-b008-2cb55ccb0320.jpgFOSS4G 2021 Google Summer of Code and UN-OSGeo Education Challenge 2021 PresentationThe participants of this year's Google Summer of Code on OSGeo projects and winners of United Nations-OSGeo Education Challenge 2021 will present their work and their experiences contributing to OSGeo projects. This year, 12 students were assigned an OSGeo project to contribute to this Summer. Browse the projects at https://summerofcode.withgoogle.com/organizations/5336634351943680/ 2 Winners were selected for the United Nations-OSGeo Education Challenge 2021. Browse more details: https://www.osgeo.org/foundation-news/2021-osgeo-un-committee-educational-challenge/ Authors and Affiliations – Shinde, Rajat (1) Chauhan, Rahul (1) (1) Coordinator of OSGeo in the GSoC (OSGeo GSoC Organization Administration Team) Speakers: Francesco Bursi - francesco.bursi@hotmail.it Linda Kladivova - lindakladivova@gmail.com, L.Kladivova@seznam.cz Caitlin Haedrich - caitlin.haedrich@gmail.com Aaron Saw Min Sern - aaronsms@u.nus.edu Aniket Giri - aniketgiri770@gmail.com Aryan Kenchappagol - aryan.kenchappagol@gmail.com Sandeep Saurav - sandeep.saurav97@gmail.com Sourav Singh - srvsingh1962@gmail.com Ayoub Fatihi - ayoubfatihi1999@gmail.com Ashish Kumar - ashishkr23438@gmail.com Veenit Kumar - 123sveenit@gmail.com Han WANG - hanwgeek@gmail.com OSGeo-UN 2021 Challenge Winners Patrick Happ - patrick@ele.puc-rio.br Swapnil Joshi - swapniljoshi@iitb.ac.in Track – Community / OSGeo Topic – Software/Project development Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/bb6cc9b3-59be-4ae6-b376-926ac741ecb3https://video.osgeo.org/w/xtGqQWhEaGieCs5ica4mQehttps://video.osgeo.org/lazy-static/thumbnails/a4d4fcdc-b212-4148-a09e-c8b1f3a7ae1b.jpgFOSS4G 2021 - How Open Source solution help to build an scalable and adaptable environmental .....How Open Source solution help to build an scalable and adaptable environmental decision platform tools ONF International, an institutional body in matters of international cooperation projects in the forest management areas need tools to help people to empower their decision. The Open-Source solution help us to find a set of tools to develop a web-based platform to interact with different stakeholder and help them on their decision about forest management. Especially we used and fund some component of QGIS, py-qgis-server, py-qgis-wps, R through a work with 3Liz using Lizmap. A successful work, funded by the Climate KIC was done on building a platform to help stakeholder on a forest restoration process on the Paragominas municipality in Brazil. ONF International is a private company working with private company as well as NGO or ministry at international level about forest management. These activities required to be able that all people involved in a forest management process can discuss together around a common denominator, a dedicated platform. Indeed, manage forest landscape required different kind of work such as to spatialize the space as well as display its own area such as the farm, regional park or municipality. It’s also often necessary to be able to generate statistic over specific information or being to be able to simulate and analyze scenario such as where are the best areas to do forest restoration in terms of biodiversity. Consequently, we need a set of tools allowing us to integrate all these requirements. Important parameter is that these set of tools must be scalable, quite easy to manage and be cost-efficient. So it quite naturally that we go through Open Source tools and more specifically Lizmap and its based component such as QGIS, py-qgis-server, py-qgis-wps, R. Through Lizmap, such tools allow us to design a platform, called Forland that contain the following component: * Webmapping including edition tools * Web processing * Web repor...https://video.osgeo.org/videos/embed/fee94b8b-a385-4755-9916-f98793b1b5e5https://video.osgeo.org/w/dzmURmKR1w4QsWAvgGdM1Qhttps://video.osgeo.org/lazy-static/thumbnails/68290f3e-8aca-4fe1-81a2-79aac5a12572.jpgFOSS4G 2021 - QGIS Plugin Development Is Not Scary: Lessons Learned from Literature MapperThis is the story of how one QGIS plugin came to be and the lessons we learned along the way. The Literature Mapper QGIS Plugin was created to fill a need: academic journal articles are often about a specific location (this is common in fields such as ecology, archaeology, and history), but there was no method for connecting location data to a citation manager. We built the tool we needed from the idea stage (a paper map hand annotated in pencil), to prototype, to freely available code in the QGIS Plugin repository, to a tool that is steadily gaining users. In this talk, we will describe our experience developing the Literature Mapper QGIS plugin – all the ups and downs – to explain the process and encourage more people to try making their own plugin. Michele Tobias and Alex Mandel both hold PhDs in Geography and have worked in the geospatial field for 20 years, mainly working with open source tools. Both are active members of OSGeo. This goal of this talk is not only to give people practical skills and advice, but also to offer encouragement to folks who just need a little boost to try something new. Authors and Affiliations – Tobias, Michele (1) Mandel, Alex (2) (1) University of California, Davis - UC Davis DataLab (2) Development Seed Requirements for the Attendees – Documentation: http://micheletobias.github.io/maps/LiteratureMapper.html Repository: https://github.com/MicheleTobias/LiteratureMapper Academic Publication: https://journals.sagepub.com/doi/full/10.1177/11786221211009209 Track – Software Topic – Data collection, data sharing, data science, open data, big data, data exploitation platforms Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/65d61867-8540-4fd5-a60c-655294dc6484https://video.osgeo.org/w/sbpWbqor135uq1nZgmTjmfhttps://video.osgeo.org/lazy-static/thumbnails/a1ffce56-f595-41dc-99cc-40ae3bb65260.jpgFOSS4G 2021 - State of GeoMesaLocationTech GeoMesa is a suite of tools for working with big geo-spatial data by leveraging big data technologies like Apache projects like HBase, Kafka, NiFi, and Spark to enable persistence, streaming, ETL, and analysis. In this talk, we will give background information about the core capabilities of GeoMesa and additionally discuss recent improvements in GeoMesa 3.x over the last year. These changes include support for newer versions of Scala (enabling Spark 3.x support), Kafka, and HBase/Accumulo. Other improvements include new features which help improve use of GeoMesa components in Docker and Kubernetes. LocationTech GeoMesa is a suite of tools for working with big geo-spatial data by leveraging big data technologies like Apache projects like HBase, Kafka, NiFi, and Spark to enable persistence, streaming, ETL, and analysis. In this talk, we will give background information about the core capabilities of GeoMesa and additionally discuss recent improvements in GeoMesa 3.x over the last year. These changes include support for newer versions of Scala (enabling Spark 3.x support), Kafka, and HBase/Accumulo. Other improvements include new features which help improve use of GeoMesa components in Docker and Kubernetes. Authors and Affiliations – James Hughes Track – Software Topic – Software status / state of the art Level – 3 - Medium. Advanced knowledge is recommended. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/d401caf4-7698-4070-87d7-af562d325176https://video.osgeo.org/w/9aNbzgfmq9JBuifND9T7Fthttps://video.osgeo.org/lazy-static/thumbnails/063dbd05-07a8-46cc-b870-a69f49ee8a1b.jpgFOSS4G 2021 - CanoClass: Creation of an open framework for tree canopy monitoringForested areas play an integral role in the maintenance of both local and global environments. They are the bulk of Earth’s carbon sequestration for mitigating anthropogenic processes, provide natural erosion and runoff control for flooding events which have been growing in frequency because of climate change, and can offer respite for urban heat islands. The effective creation of canopy data is of utmost importance to analyze the aforementioned processes in addition to forest patterns such as disturbance, mortality, and the societal and economic effects forests can provide. Because of the importance of forests and the cycles they are apart of, it is imperative that systems are created that enable the effective monitoring of forest canopy. In particular, canopy classification using remotely sensed data plays an essential role in monitoring tree canopy on a large scale. As remote sensing technologies advance, the quality and resolution of satellite imagery have significantly improved. Oftentimes, leveraging high-resolution imagery such as the National Agriculture Imagery Program (NAIP) imagery requires proprietary software. However, the lack of insight into the inner workings of such software and the inability of modifying its code lead many researchers towards open-source solutions. In this research, we introduce CanoClass (github.com/ocsmit/canoclass), an open-source cross-platform canopy classification system written in Python. CanoClass utilizes machine-learning techniques including the Random Forest and Extra Trees algorithms provided by scikit-learn to classify canopy using remote sensing imagery. One such similar Python module that is based on scikit-learn is DetecTree, but it does not utilize near-infrared (NIR) band imagery. Subsequently, to the best of the authors' knowledge, there are no dedicated tree canopy classification libraries that use scikit-learn in conjunction with infrared data. Authors and Affiliations – Owen Smith (1), Huidae Cho (1) (1) ...https://video.osgeo.org/videos/embed/42274399-bc31-4a98-ad5d-0d76ad570de1https://video.osgeo.org/w/aEqqPFKAXuD3zAa7Cdai7Bhttps://video.osgeo.org/lazy-static/thumbnails/e4746513-f363-427f-b1f1-546b171bf5c3.jpgFOSS4G 2021 - Curating machine learning datasets in international collaborationsCurating machine learning datasets in international collaborations – case study on the Island of Bali State of the art environmental datasets often combine satellite-based remote sensing information with data collected by humans in the field. This poses unique challenges to data collection and curation, specially if these materials are to be made amenable to machine learning processes. And the task become more challenging in international collaborations across language differences, cultural barriers and economic gradients. This talk will present an overview of ongoing work situated on the Island of Bali that seeks to build a machine learning compatible dataset on ethnobotany collected on the ground in combination with land use data collected via satellites. This project is a collaborative effort between scholars from the US and Indonesia, as well as data collectors on the Island of Bali. The goal of the project is to make use of the synergies between remote sensing data and field data to better understand how local communities are in fact using their lands, and how tourism is impacting already limited resources on the island. State of the art environmental datasets often combine satellite-based remote sensing information with data collected by humans in the field. This poses unique challenges to data collection and curation, specially if these materials are to be made amenable to machine learning processes. And the task become more challenging in international collaborations across language differences, cultural barriers and economic gradients. This talk will present an overview of ongoing work situated on the Island of Bali that seeks to build a machine learning compatible dataset on ethnobotany collected on the ground in combination with land use data collected via satellites. This project is a collaborative effort between scholars from the US and Indonesia, as well as data collectors on the Island of Bali. The goal of the project is to make use of the syne...https://video.osgeo.org/videos/embed/4e3f90c2-a88d-406d-bcfb-dcf5500f838bhttps://video.osgeo.org/w/4vnqaW3hqQERz8jyJNGGNshttps://video.osgeo.org/lazy-static/thumbnails/b547bd8d-5a4e-4c0a-85f4-3deea07fbd27.jpgFOSS4G 2021 - Women In Geospatial+: Career stories of women in FOSS4GThe session highlights the different aspects related to equality and diversity in FOSS4G. In the past years, women+ groups, including Women in Geospatial+, have amassed members from all over the globe, as well as from all backgrounds in the geospatial field. Through our work, we noticed increased interest in participation in the geospatial field, necessity for mentorship and being mentored, proactivity and a keen desire to learn and have access to skills and opportunities that were not being easily available to women so far. Through our work and the work of other sister organisations (e.g Geochicas, African Women in GIS, Ladies of Landsat, Sisters of SAR, GeoLatinas), we could determine that while the trend for equality and diversity in the field is a positive one, albeit slow, there is an imbalanced involvement in open source component of the geospatial field, with less women+ representatives overall. The main goal of this event will be to showcase the opportunities of a career path in FOSS4G and the role of leadership in the FOSS4G space by hearing the stories of a slate of leaders. How these leaders got involved in FOSS4G and what attracted them to this side of the geospatial field? What does leadership mean within FOSS4G? What are some of the opportunities and challenges that these leaders face today? How do leaders in this space see the future of the community? What opportunities are there for individuals that seek to get more involved in FOSS4G? These questions will be addressed first in a panel discussion, followed by an opportunity to connect with fellow geospatial women+ in a social event. The panel will also focus on the broadening diversity of technical leaders within the FOSS4G, GIS, and other STEM communities and how these shifts have been reframing these technical spaces and their impact. The social event will give the participants the occasion to meet, socialise and share individual experiences in an interactive manner. Authors and Affiliations ...https://video.osgeo.org/videos/embed/1c652f10-aead-4cc3-8c74-cda7346b4d86https://video.osgeo.org/w/7apszPhthsDvkjuSDymmmkhttps://video.osgeo.org/lazy-static/thumbnails/ab74fa30-f76c-46e5-96b0-c97c4c1146a5.jpgFOSS4G 2021 - Lizmap to create a Web Map Application with QGIS Desktop and ServerIn 2021, Lizmap is 10 years old. Lizmap is an Open Source application to create web map applications, based on a QGIS project. It's composed of a QGIS plugin and a Web Client. Lizmap has been designed to take advantage of QGIS Server to facilitate the creation of Web maps. We will present the state of the project, the last changes using on a QGIS Server plugin and futur perspectives. At 3Liz, we are QGIS and PostGIS lovers. We are contributors of QGIS, mainly QGIS Server. We promote Open Source GIS solutions, mainly OSGeo, to our customers. In 2011, we decided to develop, as an Open Source Software, the Lizmap solution. The design of Lizmap aimed to publish Web Mapping applications with QGIS. The objective of Lizmap is to design and configure web mapping applications with QGIS desktop and only with it. No coding skills are needed. Lizmap takes full advantages of QGIS Server: symbology, labels, table relationships, print layouts, forms, etc. Lizmap consists of 2 tools: * Lizmap plugin allows to configure the options and tools of the web mapping application based on the QGIS project * Lizmap Web Client, running on a server with QGIS Server, delivers the user interface of the web mapping application from the QGIS project and the Lizmap configuration. Lizmap offers the possibility to publish simple web mapping applications for data consultation, but also to build advanced applications allowing map printing, data editing, search, dataviz, etc. Lizmap is also extensible. It is possible to add your own JavaScript and to use Lizmap modules (to add some extra features on top of Lizmap). Finally, Lizmap benefits from a growing community (localizations, documentation, JavaScripts, bug triaging, etc) and it is used all over the world (Indian ocean environment survey, Georice in South-East Asia, SAERI in South Atlantic, etc). Authors and Affiliations – René-Luc DHONT (3liz), Michaël DOUCHIN (3liz) Track – Software Topic – Software status / state of the art Level – 1...https://video.osgeo.org/videos/embed/31e6fb8b-8e1d-4fb5-bfb8-bef8104d332bhttps://video.osgeo.org/w/is5fJTknG7thwW6kKe199Uhttps://video.osgeo.org/lazy-static/thumbnails/f25e17d5-41a0-4934-8619-4cc74caea511.jpgFOSS4G 2021 - I hated the way GRASS started so I changed itIn the past, few people would have described GRASS GIS as intuitive. Therefore, it was even more surprising when I got this response from beginner students! Come and listen to a presentation talking about the new generation of GRASS GUI. You will be surprised by the intuitive start, convenient data organization, GRASS in dark theme mode, and many other pleasant functions which me and the development team have prepared for you. Stay tuned! This talk will highlight the major improvements of the GRASS GUI in version 8 which is much more user-friendly to existing users as well as to completely new ones. Authors and Affiliations – Linda Kladivova (1) Vaclav Petras (2) Anna Petrasova (2) The GRASS GIS Development Team (3) (1) Faculty of Civil Engineering, Czech Technical University in Prague, Czech Republic (2) Center for Geospatial Analytics, North Carolina State University, USA (3) Global Track – Software Topic – Software status / state of the art Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/8d4f5122-eb21-41ce-9993-10046cfc3c14https://video.osgeo.org/w/1LD8ubTETyuVWiSQMTNtxRhttps://video.osgeo.org/lazy-static/thumbnails/4c61fda5-e895-4f25-9e12-de126de2b082.jpgFOSS4G 2021 - When Geometry meets GeographyGeometry is clean, easy and polished. Geography is messy, dirty and unfitting. When we -geospatial developers and technicians- built applications to solve real life issues usually rely on the first. But eventually, we have to deal with the second. This talk is a very short sneak peak of a book I am writing to explain the most interesting cases I have experienced when working in the industry. Can a buffer tell me if I can take a walk to the nearest park? How a disputed territory such as Nagorno-Karabakh is displayed in a webmap? How geocoders understand the wide diversity of national postal systems? Geometry is clean, easy and polished. Geography is messy, dirty and unfitting. When we -geospatial developers and technicians- built applications to solve real life issues usually rely on the first. But eventually, we have to deal with the second. This talk is a very short sneak peak of a book I am writing to explain the most interesting cases I have experienced when working in the industry. Authors and Affiliations – Ramiro Aznar Geospatial Data Engineer at Planet Track – Transition to FOSS4G Topic – Data visualization: spatial analysis, manipulation and visualization Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/063b9b83-ebad-4e93-875b-8aaa3ec95e83https://video.osgeo.org/w/8usJPRQgoL1X25nhwg2BnEhttps://video.osgeo.org/lazy-static/thumbnails/77c4e5d9-18da-4d1f-946a-754500583b56.jpgFOSS4G 2021 - Deployment of open source vector tile technology with UN Vector Tile ToolkitThe UN Vector Tile Toolkit (UNVT) project started in 2018 and it has been developed as a part of the UN Open GIS Initiative which aims to develop an Open Source GIS bundle that meets the requirements of UN operations. The toolkit includes a set of Nodejs open source scripts to be used with existing and proven open-source vector tile software (such as Tippecanoe, Maputnik, Mapbox GL JS (ver. 1.x) and vt-optimizer). This talk will introduce an example of UNVT deployment at UN and other examples including vector map delivery using Raspberry pi. After development of the basic toolsets by early 2020, we started developing an open source vector tile web map service in UN. At each phase of the vector tile development (i.e. data conversion, styling, hosting and optimizing), UNVT was utilized to proceed the process efficiently. At the first phase, the production phase, we have converted the vector tile of the whole world and updated them weekly with the developed nodejs script and Tippecanoe. The source data is stored in PostGIS data base and extracted by tile by tile due to its large data size. At the following styling phase, in order to efficiently develop a style fie, a hocon file was prepared for each style layer, then compiled into a single style json. At hosting phase, we have developed nodejs based simple vector tile hosting server which deliver the pbf files derived from mbitiles upon each request. Recently, UNVT has been used even outside the United Nations. This talk will briefly introduce such examples as much as possible. The UNVT was first introduced at FOSS4G 2019. Our toolkit is now released from the following our GitHub accounts: https://github.com/un-vector-tile-toolkit https://github.com/unvt Authors and Affiliations – Taro Ubukawa (1) , Diego Gonzalez Ferreiro (2), Paolo Frizzera (2), Oliva Martin Sanchez (2), Hidenori Fujimura (3) (1) Geospatial Information Section, Office of Information and Communications Technology, United Nations (2) Service for...https://video.osgeo.org/videos/embed/3ca94637-6427-4ec8-9989-38af03ea122chttps://video.osgeo.org/w/gkakRQyc6YK7cRWNFeEGskhttps://video.osgeo.org/lazy-static/thumbnails/977d7755-ca2c-42a8-9b86-a8d9d69ea184.jpgFOSS4G 2021 - One Geonode, many GeonodesGeoSolutions has been involved in a number of projects, ranging from local administrations to global institutions, involving GeoNode deployments, customizations and enhancements. A gallery of projects and use cases will showcase the versatility and effectiveness of GeoNode, both as a standalone application and as a service component, for building secured geodata catalogs and web mapping services. GeoNode is a Web Spatial Content Management System based entirely on Open Source tools whose purpose is to promote the sharing of data and their management in a simple environment where even non-expert users of GIS technologies can view, edit, manage, and share spatial data, maps, prints, and documents attached. GeoNode was initiated in 2009 by the World Bank and OpenGeo but from 2011 is entirely run by the developer community that the project has been able to attract. It claims some large organizations among its contributors such as the United Nations, the World Bank and the European Commission as well as many NGOs and private companies. GeoNode is based on a set of robust and widespread open source components as Django as a basic framework, GeoServer for geospatial data management and OGC services and MapStore as mapping application. It can also communicate with PostgreSQL for vector data management. GeoSolutions has been involved in a number of projects, ranging from local administrations to global institutions, involving GeoNode deployments, customizations and enhancements. A gallery of projects and use cases will showcase the versatility and effectiveness of GeoNode, both as a standalone application and as a service component, for building secured geodata catalogs and web mapping services. Lastly, ongoing and future developments will be presented ranging from the upcoming integration with MapStore to the monitoring and analytics dashboard or the support for time series data. Authors and Affiliations – giovanni.allegri@geo-solutions.it alessio.fabiani@geo-soluti...https://video.osgeo.org/videos/embed/7c25f80f-aaa2-4129-9ab8-ad8f7fce0037https://video.osgeo.org/w/3iTbMKKMwrrtoFNDaxTzNohttps://video.osgeo.org/lazy-static/thumbnails/e62954a3-2ff0-40a3-ab90-6a61f807c3d2.jpgFOSS4G 2021 - Google Summer of Code with OSGeoOSGeo's Google Summer of Code Initiative has been an inspiring and motivating platform for new student developers to join the OSGeo projects, community projects, guest projects, and incubating projects. In 2021, OSGeo is participating for the 15th year in the Google Summer of Code, and it itself is a great achievement. With this talk, the OSGeo GSoC Administrators shall try to put forth the importance of GSoC with respect to the students and participating projects. The admins would focus on the development of projects with GSoC and encourage projects to be a part of the upcoming GSoC. Over the years, OSGeo's Google Summer of Code initiative has transformed into an initiative full of contributions towards geospatial software development. In the last 15 years, many OSGeo projects comprising incubating projects, community projects, and guest projects have progressed attributed to the contributions of student developers. Some of these students continued to participate as contributors for the projects and went on to take mentoring and organizing responsibilities. This is a true sense of FOSS4G in terms of individual and collective growth of the student developers and the OSGeo community. In this talk, the OSGeo GSoC Admins team would try to appreciate the efforts of all the mentors and students involved till now and present the state of the GSoC 2021. The Admins would also present possibilities for new projects to be part of the GSoC with OSGeo as an umbrella organization. Authors and Affiliations – Rajat Shinde (1), Rahul Chauhan (2), Indian Institute of Technology Bombay, India (1) Track – Community / OSGeo Topic – Community & participatory FOSS4G Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/12b17746-0ab8-4340-add3-3a0dacf2daeehttps://video.osgeo.org/w/uTN4e1mSRPTs8CBZM9pMq3https://video.osgeo.org/lazy-static/thumbnails/6898994f-f3cf-4f7e-9e1f-69d5b007539c.jpgFOSS4G 2021 - HERMOSA: Supporting the UN decade on ecosystem restoration utilizing ..HERMOSA: Supporting the UN decade on ecosystem restoration utilizing geo- and earth observation technologies The United Nations declared 2021 to 2030 as Decade on Ecosystem Restoration [Verlinken: https://www.decadeonrestoration.org/ ] in the hope of being able to avert the worst effects and limit the heating of the planet to 1.5 °C in comparison to pre-industrial times. The companies mundialis and terrestris from Bonn, Germany are developing a digital, internet based platform supporting urgently needed ecosystem restoration efforts by utilizing geo- and earth observation technologies. The project is financed by the European Space Agency (ESA). The platform is called HERMOSA, an acronym for Holistic Ecosystem Restoration Monitoring, repOrting, Sharing and mArketplace. From a technical point of view, the platform makes use of SHOGun, an Open Source WebGIS framework that uses react-geo and OpenLayers on the clientside, and GeoServer, actinia and GRASS GIS on the server-side to name just a few. The platform helps registered users to analyze the efforts that organizations face on the ground when restoring ecosystems with a web-based geographical information system. Beside the WebGIS there are modules for on-demand and automatic analysis of Sentinel1 and 2 data, but also the use of very high resoluted (VHR) satellite images is possible. The analysis tools offer a change detection or a land cover classification for example. The main challenges we had to cope with is to deliver a user-friendly tool, that allows users to easily perform complex analysis and to support them in interpreting the results. We'll have a look at some of the decisions that were made in that respect. The talk will on the one hand focus on the technical base of the platform but we will also show some of the functionality from the users and from the developers perspective. I will also dedicate some time to the challenges arising when releasing such a platform under an Open Source software-licens...https://video.osgeo.org/videos/embed/e9fb3290-6464-4a15-8da9-486d5dec21behttps://video.osgeo.org/w/o9Pntepmk23z3oT68b2iCFhttps://video.osgeo.org/lazy-static/thumbnails/ab96950b-82f2-443b-ba37-26880adbc9eb.jpgFOSS4G 2021 - The Very Best New Features of QGIS 3.xThis presentation will give a visual overview of the major new improvements of QGIS 3.x over the last calendar year QGIS releases three new versions per year. With each there is a long list of new features. This presentation will give a visual overview of some of the best new features released over the last calendar year. Examples or short demonstrations will be included. Potential topics include: User interface * Symbology - renderers and labeling * the Temporal controller * Print composer * Improvements in the expression engine * Digitizing * New processing algorithms * Graphical modeler * QGIS 3D * Data providers and support for Mesh data and Point clouds. Come and learn about how far QGIS has evolved in the last year! Authors and Affiliations – Kurt Menke - Septima P/S, Copenhagen, Denmark Requirements for the Attendees – This talk will be of interest to many from casual users of QGIS to seasoned professionals. Track – Software Topic – Software status / state of the art Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/b364318e-7d21-4baa-8c16-6edd00fa809bhttps://video.osgeo.org/w/dmNpjm8T7Cgb84BRAjpYFwhttps://video.osgeo.org/lazy-static/thumbnails/cfa4c938-4bd8-4d8d-8b4f-5d25c3b2957c.jpgFOSS4G 2021 - State of GeoServerThis presentation provides an update on our community as well as reviews of the new and noteworthy features for the latest releases. Attend this talk for a cheerful update on what is happening with this popular OSGeo project, whether you are an expert user, a developer, or simply curious what GeoServer can do for you. GeoServer is a web service for publishing your geospatial data using industry standards for vector, raster and mapping. It powers a number of open source projects like GeoNode and geOrchestra and it is widely used throughout the world by organizations to manage and disseminate data at scale. This presentation provides an update on our community as well as reviews of the new and noteworthy features for the latest releases. This year in particular we have a lot to cover for 2.18 and 2.19 releases, as well as a preview of the September 2.20 release. Attend this talk for a cheerful update on what is happening with this popular OSGeo project, whether you are an expert user, a developer, or simply curious what GeoServer can do for you. Authors and Affiliations – Andrea Aime (1) Jody Garnett (2) (1) https://www.geosolutionsgroup.com/ (2) https://www.geocat.net/ Track – Software Topic – Software status / state of the art Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/641522b4-d76d-45c6-9dad-f5060f24878chttps://video.osgeo.org/w/pnCKKBLnFyHhdjFxVrWvcyhttps://video.osgeo.org/lazy-static/thumbnails/542b3da1-a4d6-44c6-895d-ac8e6cef48fb.jpgFOSS4G 2021 - A tool for machine learning based dasymetric mapping approaches in GRASS GISSocio-economic and demographic data is usually collected at the individual or household level, and numbers are then aggregated and released at the level of administrative units. The spatial extent of many phenomena, however, do not correspond to any existing administrative limits, making them difficult to exploit. Additionally, geospatial information has started to be available at more and more detailed spatial resolutions, thanks to progress made using high-resolution EO data. Consequently, scientists often aim to perform spatial analyses at a fine resolution, but face issues related to the fact that the spatial resolution of administrative units, on which socio-economic and demographic data are aggregated, is too coarse and does not fit their needs. Dasymetric mapping can be used to create a more meaningful gridded layer of disaggregated socio-economic data, but the major challenge resides in determining the spatial distribution of a variable within aggregated spatial units. The dasymetric mapping approach has been made more accessible with an existing GRASS GIS addon “v.area.weigh" (Metz, Grass Development Team, 2013), available on the official GRASS GIS add-on repository. It provides a tool for dasymetric mapping, however requires that the user provide their own weighted layer. Grippa et al. (2019) published a replicable approach that implements the random forest algorithm for the creation of a weighting layer for dasymetric mapping with the related computer code. While this code allows replicating the method, it is very specific to the experiments presented in the paper and may not fit the needs of other scientists. Moreover, since it is computer code, potential users not skilled enough in Python and R programming could be reluctant to use it. An important step of the approach has already been implemented in a GRASS GIS add-on, “r.zonal.classes” (Grippa, Grass Development Team, 2019), which consists of the zonal extraction of class proportions from categoric...https://video.osgeo.org/videos/embed/bd477582-4ff5-40b0-80b1-b846228e3212https://video.osgeo.org/w/2S6rxGMXTyWMzb4VDp39TWhttps://video.osgeo.org/lazy-static/thumbnails/8f054fde-de73-45ec-ba91-1ad228ba902a.jpgFOSS4G 2021 - FOSS4G and the climate crisis: Let's get to workThe Paris climate agreement targets limiting our global heating to 1.5°C above pre-industrial averages. However, there are reports stating that this goal is now "virtually impossible"[1] to achieve, and recent research claims that the planet is already committed to over 2°C[1] of global heating. The effects of this level of warming will be widespread and hard to predict, but one thing is clear - our ability to process and analyze geospatial data in order to monitor, model and manage Earth's natural systems will be key to responding effectively and intelligently to the challenges humanity will face over the next century. We in the open source geospatial community have the opportunity to build the technologies that will be critical to mitigating and adapting to the rising effects of climate change. In this talk I will challenge our amazing community to use its vast talents and capabilities to work towards supplying the future with the data and tools it needs in the fight to protect our Earth. [1] The risks to Australia of a 3°C warmer world | Australian Academy of Science [2] Greater committed warming after accounting for the pattern effect | Nature Climate Change The Paris climate agreement targets limiting our global heating to 1.5°C above pre-industrial averages. However, there are reports stating that this goal is now "virtually impossible"[1] to achieve, and recent research claims that the planet is already committed to over 2°C[1] of global heating. The effects of this level of warming will be widespread and hard to predict, but one thing is clear - our ability to process and analyze geospatial data in order to monitor, model and manage Earth's natural systems will be key to responding effectively and intelligently to the challenges humanity will face over the next century. We in the open source geospatial community have the opportunity to build the technologies that will be critical to mitigating and adapting to the rising effects of climate change. In ...https://video.osgeo.org/videos/embed/0f17ae11-fa72-47ce-aedc-36c9c96c0884https://video.osgeo.org/w/tY92W23VAg2Updvwesfm5hhttps://video.osgeo.org/lazy-static/thumbnails/682a2073-6b75-40a0-8de2-66b795abd28c.jpgFOSS4G - MapaTanda: Mapping for and with the Ageing PopulationThe MapaTanda Project (a portmanteau of Mapa -- which means a map -- and Tanda -- which can mean older adult but can also mean remember) is a project that seeks to improve the number and quality of data in OpenStreetMap that are important and relevant to older adults (senior citizens) and the ageing population (60+ years old) in the Philippines such as nursing homes, retirement homes, community centers for older adults, facilities for adult learning, and other facilities that provide services or perks to the older adults (e.g. discounts, promos, etc.). The project will utilize SmartCT's partnerships with local government units in the Philippines to map this gap and train new OSM volunteers in the process. "Mapa-bata man o MapaTanda, kailangang kasama at isinasama sa pagmamapa." In a nutshell, MapaTanda seeks to improve both the quantity and quality of data in OpenStreetMap that is important and relevant to members of the older adult and ageing population (60+ years old) in the Philippines. This involves adding and cleaning features in OpenStreetMap such as nursing homes, hospitals that provide specialized care for the elderly, retirement homes, local offices for senior citizen affairs, community centers and other facilities that cater to or provide perks and services to older adults, etc. These data can then be used by local and national organizations for policy-making, planning, and implementing projects and interventions. The project will leverage an existing partnership of SmartCT with the Department of the Interior and Local Government (DILG) Region IV-A and the Municipality of Arteche in Eastern Samar. An initial list of the facilities to be mapped will be acquired from the partner local government units. We aim to train at least 120 new OpenStreetMap volunteers with monthly online workshops and training. Mapathons will also be held for each of the provinces of Region IV-A and the municipality of Arteche which will introduce OpenStreetMap, its uses, and h...https://video.osgeo.org/videos/embed/e27d587b-9c7f-4288-bc65-589e349f38b8https://video.osgeo.org/w/vkqCH3z4hbUDqNqekECJp4https://video.osgeo.org/lazy-static/thumbnails/7f682a71-89c2-48a7-9c4f-310ec1bc6a1b.jpgFOSS4G - Metadata Nirvana: Data discovery and metadata creation untouched by human handsEveryone knows metadata is A Good Idea and Very Important, even more so given the current focus on data sharing. Unfortunately it's also time-consuming, hard work, and a bit boring. Assuming you've even kept tags on all of your data sources, manual metadata creation also doesn't work well at scale. Out of date, inaccurate, or incomplete metadata can lead to bad decision-making with real-world consequences. Conversely, good metadata can help make your data far more discoverable on the web. What if you could automatically keep track of all your geospatial data, create fully valid, high-quality metadata records, including the fluffy stuff such as abstracts and keywords, and keep it up to date? I'll demonstrate a potential workflow for reaching metadata nirvana using entirely open source tools such as GeoNetwork, Talend ETL, and some Natural Language Processing libraries. While the underlying subject is complex, the talk will be pitched at an accessible level. Authors and Affiliations – Cook, Jo Astun Technology, UK Track – Use cases & applications Topic – Standards, interoperability, SDIs Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/ed8f5554-fb0c-46ea-8442-5df29aad0541https://video.osgeo.org/w/pDai2KjdjUWSibacnZ7TSAhttps://video.osgeo.org/lazy-static/thumbnails/6bc3ccc0-c83e-4b8a-a7ce-ef958a530763.jpgFOSS4G - Deploying and operating GeoServer: a DevOps perspectiveIn this presentation we will share with you the lessons we have learned at GeoSolutions when deploying and operating GeoServer as well as some common patterns for the migration of on premise GeoServer clusters to the cloud. We'll share with you tips on how to: - best practices to migrate your existing GeoServer cluster to the cloud - insights on your geoserver cluster using centralized logging and Monitor plugin - avoid common bottlenecks to best set up a distributed scalable GeoServer cluster - work containers and container orchestrators like Kubernetes Cloud computing is revolutionizing the way companies develop, deploy and operate software and GeoSpatial software is no exception. With benefits of cloud based deployments range from cost savings to simplified management, flexibility, lower downtime and scalability of dynamic environments it is easy to understand why more and more companies are migrating their on premise systems to the cloud but cloud based setups have their own set of hurdles and challenges. The migration of the series itself can be challenging. Monitoring, debugging and scaling of applications are very much different than what you are used to. In this presentation we will share with you the lessons we have learned at GeoSolutions to tackle these problems and share some common patterns for the migration of on premise GeoServer clusters to the cloud. We'll share with you tips on how to: * best practices to migrate your existing GeoServer cluster to the cloud - insights on your geoserver cluster using centralized logging and Monitor plugin - avoid common bottlenecks to best set up a distributed scalable GeoServer cluster - work containers and container orchestrators like Kubernetes Authors and Affiliations – Alessandro Parma (1) Luca Pasquali (1) (1) GeoSolutions Group (https://www.geosolutionsgroup.com) Track – Software Topic – New trends: IoT, Indoor mapping, drones - UAV (unmanned aerial vehicle), Artificial intelligence - machine learnin...https://video.osgeo.org/videos/embed/bf726fa2-2b04-408d-966a-5e5df5007482https://video.osgeo.org/w/pmS3RoJRUF7KMJwAnKRcLyhttps://video.osgeo.org/lazy-static/thumbnails/9289b3e3-9661-4318-b4e3-4b7fa2506da1.jpgFOSS4G EcoValuator: Basic Ecosystem Service Valuation for Custom LandscapesThe EcoValuator plugin provides a simple means of estimating the dollar value of recreation, water supply, food, and other key ecosystem services for a given study area. Once installed in QGIS, the tool combines satellite land use/land cover data with your own spatial data describing watersheds, conservation areas, or other areas of interest. The EcoValuator then does the work of estimating land area in each land cover type present in your region using the Benefits Transfer Method (BTM) to generate dollar value estimates of the value of the ecosystem services supported by the land use/land cover present in your region. Ecosystem services are the many benefits to humans provided by the natural environment and healthy ecosystems. This definition emphasizes that ecosystem services are the effects the environment has on people, but it is not just what those effects are that matters. It is also where the effects occur. The “where” is especially what drove us to create the EcoValuator tool in order to better understand ecosystem service effects in our area of interest. The EcoValuator tool is a QGIS plugin which uses publicly available land use/land cover data to predict the value of the user’s study area. Currently, the plugin supports datasets from the North American Land Change Monitoring System (NALCMS), which covers Canada, Mexico, and the United States, or the National Land Cover Dataset (NLCD) for the US only. EcoValuator does this using the Benefits Transfer Method (BTM) to generate dollar-value estimates of the ecosystems supported by the land use/land cover present in your study area. BTM provides an accessible way of estimating the value of ecosystem service flows in your study area based on the values estimated in another, similar, setting, called the “source” area. BTM is a practical policy analysis tool when time and resource constraints prevent more involved methods. In the EcoValuator, we employ a version of “unit value transfer” and apply estimates ...https://video.osgeo.org/videos/embed/bd2be891-bc96-4bc4-b6c9-4fe9125e8b9chttps://video.osgeo.org/w/wyBpxJC6mB99wSWugLwuWChttps://video.osgeo.org/lazy-static/thumbnails/a2dd99fb-6d44-4d7e-b5b6-bfba7c90a234.jpgFOSS4G - Seamless fieldwork thanks to QFieldCloudQFieldCloud's unique technology allows your team to focus on what's important, making sure you efficiently get the best field data possible. Thanks to the tight integration with the leading GIS fieldwork app QField, your team will be able to start surveying and digitising data in no time. Discover what QFieldCloud has to offer and how, thanks to seamless integration with your SDI, it can help make your teams' fieldwork sessions pleasant and efficient. And if you want to roll out your own customized version, nothing will stop you, QFieldCloud is open source! QFieldCloud is a SaaS (software as a service) solution built by OPENGIS.ch that allows your team to seamlessly integrate field data to your SDI. QFieldCloud is written in python using the Django Web framework that encourages rapid development and clean, pragmatic designs. QField is the mobile data collection app for QGIS with more than 110K active monthly users and 400K downloads. Discover how the seamless synchronisation with QFieldCloud can help make your teams' fieldwork sessions pleasant and efficient. Authors and Affiliations – Marco Bernasocchi OPENGIS.ch Track – Software Topic – Data collection, data sharing, data science, open data, big data, data exploitation platforms Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/f77fc7b8-22c1-4fe6-aaa0-7b6d8771e420https://video.osgeo.org/w/2sKQPdPUbNqNpBUznN2mp6https://video.osgeo.org/lazy-static/thumbnails/e0b92c99-7727-424f-b33b-eecebef3cc52.jpgFOSS4G - Building Serverless Geospatial Applications for the EnterpriseBuilding Serverless Geospatial Applications for the Enterprise Historically, enterprise-class geospatial application architectures have generally relied on computationally intensive and ponderous server-side databases, webservers, and software platforms for data processing and retrieval. Traditional architectures for simple web-based GIS applications have required the use of expensive multi-server configurations that require ongoing maintenance. With the ascension of the public cloud, however, a plethora of native sotrage, compute, content delivery services and design patterns are available to build robust and scalable applications at lower costs. This presentation will provide an overview of how to leverage common cloud services to develop serverless applications and a synopsis of several case studies where this approach facilitated delivery of more sustainable dynamic geospatial analytics and interoperability solutions. This presentation is aimed at educating geospatially-oriented technical and management audiences about modern cloud-native design patterns that facilitate the use of and deployment of lower-cost lightweight open source applications. Authors and Affiliations – Robert Pitts, MSc, GISP, PMP, CSM Program Manager & Senior Consultant New Light Technologies Inc. robert.pitts@nltgis.com www.robkpitts.com Wes Richardet Software Architect New Light Technologies Inc. wes.richardet@nltgis.com Github: @tetriscode Track – Use cases & applications Topic – New trends: IoT, Indoor mapping, drones - UAV (unmanned aerial vehicle), Artificial intelligence - machine learning, deep learning-, geospatial data structures, real time raster analysis Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/0bd57eba-f785-4577-acba-409679a3e673https://video.osgeo.org/w/teddGL8RbtTDaktvBM6vxQhttps://video.osgeo.org/lazy-static/thumbnails/2988c9f1-a26d-4e22-a244-35802d022804.jpgFOSS4G - Demystifing OGC APIs with GeoServer: introduction and status of implementationJoin this presentation for an introduction to OGC API Features, Styles, Maps and Tiles (and more!), the state of their development, their extensions, as well as how well the GeoServer implementation is tracking them. The OGC APIs are a fresh take at doing geo-spatial APIs, based on WEB API concepts and modern formats, including: Small core with basic functionality, extra functionality provided by extensions OpenAPI/RESTful based GeoJSON first, while still allowing serving to serve data in other formats No mandate to publish schemas for data Improved support for data tiles (e.g., vector tiles) The presentation will cover several APIs, as well as demostrating the progress achieved by GeoServer in supporting them. Authors and Affiliations – Andrea Aime (1) Simone Giannecchini (1) (1) GeoSolutions Group (https://www.geosolutionsgroup.com/) Track – Software Topic – Standards, interoperability, SDIs Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/dc7ef16c-a88d-4023-8fb5-9bee23bc1182https://video.osgeo.org/w/xqStG1xoVJYUYXeCam2MDthttps://video.osgeo.org/lazy-static/thumbnails/4c0d4a02-602c-416e-b96b-6ce00dc66aab.jpgFOSS4G - Cultural Heritage: a connecting factor between GEO engagement prioritiesThe Urban Heritage Climate Observatory (UHCO) is a new Community Activity within GEO, working to reveal the fast-paced growth of EO technology and information to help address climate change risks and impacts on World Heritage Cities. UHCO operates upon the common ground of climate, heritage and urban related Sustainable Development Goals (SDGs), also cutting across the other GEO priority engagement areas. This is apparent through advancing climate adaptation, enhancing preparedness to disasters, and having climate-aware World Heritage Cities serving as strong advocates for carbon neutral and resilient cities. There is a broad range of free and open access EO data to be contributed to this activity, including in-situ and other types of datasets. However, issues surrounding confidentiality and ownership of certain cultural heritage information exist, and there are great challenges to be discussed with respect to data sensitivity in the frame of Open EO. Please see the abstract above. Talk, climate action Authors and Affiliations – Jennifer Bailey, Greek GEO Office/National Observatory of Athens Track – Transition to FOSS4G Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/fe8441ba-516d-4b4b-971c-2610854cda59https://video.osgeo.org/w/p6jwJqrpx2oVj27aCYrjauhttps://video.osgeo.org/lazy-static/thumbnails/0f5f2c58-eab4-4929-a782-478a164bc025.jpgFOSS4G - Presentation State of GeoNetworkReport about the state of the project; events, releases, roadmap. OGC API, scalability and UI update are the current topics. The GeoNetwork team is having a standout year and would love to share what we have been up to! The project is very active, and we have new project steering committee members to introduce. We will report back from our annual user group meeting and code sprint. 2020 gave us a great opportunity to think about what Geonetwork next generation should look like. The main concerns we want to address are scalability and usability. From that, 2 brand new projects are born: geonetwork-microservices and geonetwork-ui which totally renew the experience we want to give to the users when searching for data. The Geonetwork team is excited to talk more about those projects and the benefit you could get from this new architecture and design. Enhancement and fixes in main branches also never stopped with two recent major releases: GeoNetwork 3.12 in april 2021, and GeoNetwork 4.0.0 in October 2020. Attend this presentation for the latest from the GeoNetwork community. Authors and Affiliations – Florent Gravin, florent.gravin@camptocamp.com, Camp to camp, France Francois de Prunayre, fx.prunayre@gmail.com, Titellus, France Jody Garnett, jody.garnett@geocat.net, Canada Paul van Genuchten, paul.vangenuchten@isric.org, ISRIC.org, Netherlands Jo Cook, jocook@astuntechnology.com, Astun Technologies, UK Track – Transition to FOSS4G Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/bb0053d4-32d2-4d1a-ae0a-eae5d74d62d6https://video.osgeo.org/w/dmu5xdDZ7J6Kbh8QUcgmZzhttps://video.osgeo.org/lazy-static/thumbnails/df58b36e-1998-4c11-9b23-03d4d1ac5e1c.jpgFOSS4G - Land cover classification using freely available multitemporal SAR data (work in progress)The launch of Sentinel-1A and Sentinel-1B initiated a new age in Synthetic Aperture Radar (SAR) systems for earth observation. For the first time, multitemporal SAR imagery from all over the world is freely available. SAR images are an essential information source for monitoring and mapping wetlands since the SAR signals are able to penetrate through the vegetation and provide information about soil moisture characteristics and above-ground vegetation. However, vegetation type identification in wetlands using high temporal resolution SAR data requires more investigation. In this work, we consider a portion of the Bajo Delta of the Paraná River, a wide coastal freshwater wetland located in Buenos Aires, Argentina. Due to the high amount of biomass in all its extent, mapping and monitoring this area is particularly challenging. The main objective of this work are: to study the potential of multitemporal Sentinel-1 datasets for land cover maps in densely vegetated areas, to classify the study area and compare the performance of the different multitemporal Sentinel-1 datasets. The Sentinel-1 images were processed using SNAP. The classification was done using Python (libraries: sklearn, pandas, numpy, and gdal). Authors and Affiliations – Rajngewerc, Mariela (1) Grimson, Rafael (1) Bali, Juan Lucas (2) Minotti, Priscila (1) Kandus, Patricia (1) (1) 3iA, Instituto de Investicación e Ingeniería Ambiental, Universidad Nacional de San Martín, CONICET, 3iA, Buenos Aires, Argentina (2) YTEC, YPF-CONICET, Buenos Aires, Argentina Track – Academic Topic – Academic Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/6409d7d8-e8f0-488d-9255-6119fe882de3https://video.osgeo.org/w/ub15xzk2kzQxvXba4soBeChttps://video.osgeo.org/lazy-static/thumbnails/c00535ec-b84d-42a8-8fc2-281b875c289f.jpgFOSS4G - Towards the establishment of a new opensource geospatial remote sensing VRETowards the establishment of a new opensource geospatial remote sensing VRE for e-Biodiversity Ecosystem Services and Climate Change modelling and adaptation LifeWatch ERIC e-Science panEuropean Infrastructure for Biodiversity and Ecosystem Research https://www.lifewatch.eu is mainly aimed to facilitate the access to their distributed data, information and knowledge resources and services, also providing modelling capabilities for understanding the complexity of associated Climate Change processes for research and adaptation purposes, as well as addressed to decision makers and citizen scientists. One of our VREs focuses on the historical time-series study and climate change projections at high resolution, which will be generated by dynamical downscaling of the General Circulation Models (GCMs). To this purpose, the regional climate model Weather Research and Forecasting (WRF) will be used to simulate high-mountains areas climate scenarios, and thus, solving the limitations of the vast spatial resolution of GCMs. The observational database will validate present WRF models-based simulations. This will create high-res regionalized projections in high mountains areas using the state-of-art of open-source geospatial tools. Please see the abstract above. Authors and Affiliations – LifeWatch ERIC Track – Transition to FOSS4G Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/e4255e53-c237-4298-ac63-f305854bf932https://video.osgeo.org/w/fcfQjMTA4Ksy9YeCeAzCJhhttps://video.osgeo.org/lazy-static/thumbnails/a64b17d2-d20b-4ecc-b980-45f3a08f5d9e.jpgFOSS4G - An open-source geospatial workflow to map diverse landscapes in Pacific Island CountriesIn Pacific Island Countries, the environmental resources that support livelihoods are distributed across landscapes in a mix of spatial patterns. Capturing the spatial detail of landscape use is important to inform landscape management that is sensitive to these livelihood dependencies. Using information and communication technologies for development (ICT4D) and agile software development processes, a workflow was developed that comprises open-source geospatial software to map and monitor agricultural landscapes. This workflow was co-developed with the Vava’u branch of the Ministry of Agriculture, Food, Forests, and Fisheries (MAFF) of the Government of Tonga. The workflow consists of mobile GIS to map farms, web-applications to synchronise and store data, and spatial dashboards for data visualisation and analysis. Mobile geospatial data collection uses QField for intra-farm mapping of cropping practices and digital forms to record farm management attributes. A web application has been developed using Express and Python to support data syncing, automatically generating datasets for reporting on cropping practices and landscape conditions, and for secure data storage. A spatial dashboard, built using Shiny and Leaflet, allows non-GIS experts to easily query and visualise landscape data collected in the field and to use this data in landscape decision making. This workflow has been used by MAFF for an array of data collection and mapping campaigns. Example uses include: mapping the location of vanilla plantations under sub-optimal management condition; identifying where land was under-utilised or left fallow by farmer groups to spatially target fuel and cash resources to increase land under cultivation; and annual crop monitoring to generate island-wide coverage of intra-farm cropping practices to serve as baseline data to track agricultural change through time. This talk will discuss the software development process including: the needs assessment to identify a...https://video.osgeo.org/videos/embed/72f24393-ff11-40c6-a61c-02cb5182088chttps://video.osgeo.org/w/gUt45BWargnLEiPhQdDhwihttps://video.osgeo.org/lazy-static/thumbnails/ef0a87b8-ead7-451c-b319-b0eb3858a1b8.jpgFOSS4G - Building mobile apps with MapLibre SDKWant to learn how to build applications with vector maps for iOS or Android? Looking for more information about MapLibre? Confused about how MapLibre differs from Mapbox? We will explain all that and show how you can add MapLibre and enrich your application by high quality vector maps and custom overlays. We will present the state of the project, the roadmap. We will explain how the MapLibre was forked from Mapbox and how it is maintained. At the end of this talk you should have all you need to get started building mobile apps with MapLibre. Agenda: Simple map application use case Building the application Prerequisites Building app for Android using MapLibre GL Native, Kotlin and Android Studio Building app for iOS using MapLibre GL Native, Swift and XCode The origin of MapLibre - fork setup, versions, how it differs from Mapbox The state of MapLibre project, roadmap, bindings (Flutter, React Native) More sample code on GitHub Q/A Authors and Affiliations – Pokorny, Petr MapTiler, AG Track – Use cases & applications Topic – Software/Project development Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/80cc6d91-a25b-48c9-b776-dfeea6e4f225https://video.osgeo.org/w/rFXx5LYV6PsZM7EpQmCLqahttps://video.osgeo.org/lazy-static/thumbnails/72f12c8a-8d6c-49b0-8519-f7dbe4d7a832.jpgFOSS4G - The Cloud Devoured Open SourceThe Cloud Devoured Open Source... but then it choked on Free Software. A freestyle intro on how to help Free and Open Source Software manage to avoid getting obsoleted by shareholder value. A short note on how business functions and why Free and Open Source makes a good combo when creating sustainable software architectures. Authors and Affiliations – Arnulf (1) (1) seven@arnulf.us Track – Community / OSGeo Topic – Software status / state of the art Level – 3 - Medium. Advanced knowledge is recommended. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/d008b2e0-fdd0-422d-bdcd-802ed551e349https://video.osgeo.org/w/nqweKnCPGFcPB8HtnUJbHmhttps://video.osgeo.org/lazy-static/thumbnails/64d3ba05-cb3a-4e5f-8c7f-979a463bb3ac.jpgFOSS4G - Low Cost and High Available Container-Based OGC Web Services for hosting OneGeology and ...Low Cost and High Available Container-Based OGC Web Services for hosting OneGeology and INDE SDIs - The CPRM's experience on move to FOSS4G This work aims to present the experience acquired by CPRM (Geological Survey of Brazil), in the last two years, with the implementation of FOSS4G (OGC Servers, Spatial Databases) in Docker Swarm Clusters. The developed infrastructure can be implemented in low-cost physical servers or virtual machines, and has a simple administration. The Geological Survey of Brazil (CPRM) is now under a digital transformation process. One of the pillars of this process involves speed, scalability, security and availability of data produced by the researchers. Furthermore, CPRM is creating a favorable environment for the adoption of new paradigms of software architecture, focused in distributed computing. In recent months, through the Department of Institutional Information and the divisions of Geoprocessing and IT Engineering, developed a container-based clustered environment, to host FOSS4G applications. The aim of this work is to present the state of the art of brand-new architecture to host OGC-based data and metadata services, whose standards were established by INDE (Official Brazilian SDI). In addition, CPRM also participates in OneGeology, which is an initiative to integrate global geological maps, whose software architecture, like most INDE and partner institutions, is based either on FOSS4G – mainly Geoserver, Geonetwork and PostgreSQL/PostGIS. The cluster now is hosted in RNP’s Data Center, Brasilia. In it’s internal network, there is a pool of 8 servers (4 manager and 4 worker nodes), with 8 cores and 8 GB of RAM with Linux OS (RHEL7) and Docker Engine 19.03, with orchestration with Swarm, whose is docker-native. In the DMZ network, two extra servers, with modest hardware requirements, were configured with HAProxy and Keepalived, listening to each other simultaneously. These servers have the function of receiving and encrypting ...https://video.osgeo.org/videos/embed/ad7c6585-c3dd-4383-9018-ed93028194f6https://video.osgeo.org/w/7BBLzrweFXPiAqufrgE18Thttps://video.osgeo.org/lazy-static/thumbnails/38d725e0-ee5d-41b3-a01a-de45b8e23e01.jpgFOSS4G - State of GeoNodeThis presentation provides a summary of new features added to GeoNode in the last up to the latest releases of GeoNode together with a glimpse of what we have planned for next year and beyond, straight from the core developers. GeoNode is an open source framework designed to build geospatial content management systems (GeoCMS) and spatial data infrastructures (SDI). Its development was initiated by the Global Facility for Disaster Reduction and Recovery (GFDRR) in 2009 and adopted by a large number of organizations in the following years. Supported by a vast, diverse and global open source community, GeoNode is an official project of the Open Source Geospatial Foundation (OSGeo). Using an open source stack based on mature and robust frameworks and software like Django, MapStore, PostGIS, GeoServer and pycsw, an organization can build on top of GeoNode its own SDI or geospatial portal. GeoNode provides a large number of user-friendly capabilities, broad interoperability using Open Geospatial Consortium (OGC) standards, and a powerful authentication/authorization mechanism. This presentation provides a summary of new features added to GeoNode in the last up to the latest releases of GeoNode together with a glimpse of what we have planned for next year and beyond, straight from the core developers. Authors and Affiliations – alessio.fabiani@geo-solutions.it GeoSolutions S.A.S. giovanni.allegri@geo-solutions.it GeoSolutions S.A.S. toni.schoenbuchner@csgis.de CSGIS.DE francesco.bartoli@geobeyond.it GeoBeyond florian.hoedt@thuenen.de Thünen-Institute Track – Software Topic – Software status / state of the art Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/358fe835-ac97-4316-9c83-51dc0330d9c9https://video.osgeo.org/w/645z5vVsT6U8d4yWeue1ZGhttps://video.osgeo.org/lazy-static/thumbnails/27721175-29af-40de-936b-584f97bfedd4.jpgFOSS4G - GEE Timeseries Explorer for QGIS – Instant access to petabytes of Earth observation dataCurrent Earth Observation applications heavily rely on analyses of dense intra-annual or inter-annual time series. State-of-the-art analysis workflows thus require mass processing of satellite data, with data volumes easily exceeding several terabytes, even for relatively small areas of interest. Cloud processing platforms such as Google EarthEngine (GEE) leverage accessibility to satellite image archives and facilitate time series analysis workflows. Instant visualization of time series data, though, is currently not implemented or requires coding customized scripts or applications. We here present the GEE Timeseries Explorer which allows instant access to any Earth Engine image collection from within QGIS. It seamlessly integrates the QGIS UI with a compact widget for visualizing time series from any GEE image collection graphically as an interactive plot, or spatially as images with customized band rendering. The GEE Timeseries Explorer offers flexible integration of any GEE image collection, such as the MODIS, Landsat, Sentinel-2AB, or Sentinel-1 product suites. Image collections can be modified in a collection editor widget to include, e.g., quality filtering, cloud- and cloud-shadow masking, or adding band indices or transformations. We added a set of pre-defined collections, including quality-filtered MODIS VI products, integrated and cloud-masked Landsat TM, ETM+, OLI, or cloud-masked Sentinel-2AB surface reflectance products. Users are encouraged to contribute to the plugin by sharing custom collections through the plugin repository or the plugin homepage. Authors and Affiliations – Rufin, Philippe (1,2); Rabe, Andreas (1); Nill, Leon (1); Hostert, Patrick (1,2) (1) Geography Department, Humboldt-Universität zu Berlin, Germany (2) Integrative Research Institute on Transformations of Human-Environment Systems (IRI THESys), Humboldt-Universität zu Berlin, Germany Track – Academic Topic – Academic Level – 2 - Basic. General basic knowledge is required...https://video.osgeo.org/videos/embed/28ebbdbc-cfbc-498e-bc77-0c0b5686307ahttps://video.osgeo.org/w/s4R5Cu9g493f5JKu85gPrVhttps://video.osgeo.org/lazy-static/thumbnails/b7a1b313-1d73-4e06-b885-fa8dc3266f01.jpgFOSS4G - Cloud optimized formats for rasters and vectors explainedCloud Optimized GeoTIFF (COG) and FlatGeobuf support efficient access to raster and vector data using the HTTP protocol. This talk explains how this works behind the scenes (hint: HTTP GET range requests) and what this means for efficient use of these formats. Cloud Optimized GeoTIFF (COG) and FlatGeobuf support efficient access to raster and vector data using the HTTP protocol. This talk explains how this works behind the scenes (hint: HTTP GET range requests) and what this means for efficient use of these formats. Authors and Affiliations – Pirmin Kalberer (1) (1) Sourcepole AG Track – Software Topic – Software status / state of the art Level – 3 - Medium. Advanced knowledge is recommended. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/d317153e-0db2-4d1a-8efc-6fe2e515cff3https://video.osgeo.org/w/dVroy3eQeg2s1BAcw2XFEThttps://video.osgeo.org/lazy-static/thumbnails/56b02665-97b2-4f6e-9409-44fd384d07ea.jpgFOSS4G - Live coding: WebGL shaders, rasters and symbolsA live coding session on WebGL graphics manipulation: abstract shaders, pixel manipulation on multisample rasters, and "classic" GIS map symbols. This would be a live coding session, not a traditional workshop - audience is not required (nor expected!) to follow along. Authors and Affiliations – Iván Sánchez Ortega (1) (1) Freelancer Track – Software Topic – Software/Project development Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/68a3baeb-6eef-40cd-b809-65f124906a73https://video.osgeo.org/w/bx2wDHgx2uw1ZSgc3UyKrZhttps://video.osgeo.org/lazy-static/thumbnails/3b11b14e-b2a4-4019-88e0-ed8797207b31.jpgFOSS4G - Swissforages: the Free and Open-Source Borehole Data Management Systemswissforages.ch is swisstopo's web-based geospatial open source application for the simple, structured compilation of geological borehole data. With swissforages.ch, you can record, harmonize and export borehole data for your own use from anywhere, without licenses and independent of the platform. Most of the time boreholes data, particularly those collected in the past, are in the form of static data reports that describe the stratigraphy and the related characteristics; these data types are generally available as paper documents, or static files like .pdf of images (.ai). While very informative, these documents are not searchable, not interoperable nor easily reusable, since they require a non negligible time for data integration. Sometime, data are archived into database. This certainly improve the find-ability of the data and its accessibility but still do not address the interoperability requirement and therefore, combining data from different sources remain a problematic task. To enable FAIR borehole data and facilitate the different entities (public or private) management Swisstopo (www.swisstopo.ch) has funded the development of a Web application named Borehole Data Management System (BDMS) that adopt the borehole data model implemented by the Swiss Geological Survey. From the first beta release (2019) several improvements to the platform has been implemented leading to the last official release of the platform (v1.0.3) officially available on github. The latest released features includes: - Borehole document storage - Interface customization - Improved access & authorization managemnt - External WMS/WMTS background map support - User feedbacks form - Enter as guest - Handling of personalized and versioned terms of service - Enhanced bulk data import - Minor enhancements and bug fixes - Easy installation with docker - and many more.. Authors and Affiliations – Cannata Massimiliano (1), Hoffmann Marcus (1), Antonovic P. Milan (1), Brodhag Sabine (2), Oes...https://video.osgeo.org/videos/embed/555062aa-5791-415f-84cc-5db6b68fa0afhttps://video.osgeo.org/w/8ijKUzaLmRohDiMtCKjDrwhttps://video.osgeo.org/lazy-static/thumbnails/333a2a73-b2ba-405a-97ee-fb49c84f6499.jpgFOSS4G - MapLibre project: community driven Mapbox GL forkThe status, recent development and roadmap of the open-source community driven project for hardware accelerated rendering of maps powered by vector tiles in a web browser (GL JS) and with native code (Android, iOS, etc). Learn how to migrate with practical source code samples. After Mapbox announced the closure of Mapbox GL JS, their JavaScript library for displaying maps using WebGL, the community around Hacker News gathered on Slack and GitHub and made a collective decision to maintain and further develop the last open-source version of the software and build a 100% free alternative of the project. This is how the MapLibre was born. As a group of individuals, we coordinate the effort and synchronize contributions from multiple teams (MapTiler, Amazon, Facebook, Elastic, Stadia, Microsoft, Jawg, GraphHopper, Toursprung, etc) - working on JavaScript and Native code implementation of the renderers and related ecosystem. Multiple releases have been published, the project has CI checks for contribution, regular steering committee meetings, updated support for TypeScript, several bindings such as ReactJS, the Metal rendering on iOS is implemented (as Apple decided to deprecate OpenGL ES), and many issues and bugs has been fixed. There is plenty of ideas what to do next - from implementation of 3D terrain rendering, to support of non-Mercator map projections, or tighter integration with Leaflet, and much more. Let's explore the current status of the project, learn how to use MapLibre in your own software with practical code samples, and how to join and contribute to the collaborative development and participate on a shared roadmap. Authors and Affiliations – Klokan Petr Pridal (MapTiler), Yuri Astrakhan Track – Transition to FOSS4G Topic – Software status / state of the art Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/3b1b2c93-89d5-4ab6-904a-001c8dfb333chttps://video.osgeo.org/w/cGZmF7qQ3LKMbEZq3nxXuEhttps://video.osgeo.org/lazy-static/thumbnails/05c46f26-1434-4134-adbd-146c305c7820.jpgFOSS4G - PMTiles: An open, cloud-optimized archive format for serverless map dataHave you ever wished for web maps with no servers or backend to maintain? Introducing a new archive format called PMTiles, based on HTTP Range requests, for serving Z/X/Y tiles from storage APIs such as S3. PMTiles is a new archive format for pyramids of tiled data. It enables developers to host tiled geodata on commodity storage platforms such as S3, and can contain raster images, vector geometry, or data in any other format. This talk will: Introduce the design and specification of PMTiles, with comparison to Cloud Optimized GeoTIFFs Demo some open source tools to convert between PMTiles and other formats such as directories or MBTiles Explain the use cases for which PMTiles fits well, and how it interacts with map rendering libraries, web servers, compression and content delivery networks Authors and Affiliations – Liu, Brandon (1) (1) Protomaps LLC Requirements for the Attendees – Some background in web mapping such as with Leaflet Track – Software Topic – Standards, interoperability, SDIs Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/5ecd9f8c-0868-41b9-9e3e-01de33d78422https://video.osgeo.org/w/x7R6HDXAyx8GBZnRumqoaFhttps://video.osgeo.org/lazy-static/thumbnails/a2fcfa31-4090-488d-ab79-79ec3d97aefd.jpgFOSS4G - Modular OGC API Workflows for Processing and VisualizationA presentation of the new OGC API - Processes - Part 3: Workflows draft specifications, allowing to: - chain nested processes, - refer to external processes and collections accessible via OGC API standards, and - trigger execution of processes through OGC API data delivery specifications (such as OGC API - Features, Tiles, Maps and Coverages). Demonstration of use cases including crop classification, point cloud processing and routing. Overview of the work accomplished during the GeoConnections 2020-2021 project contributing to the development of these specifications, to open standards and to free & open source software, including the development of a new unified OGC API driver in GDAL supporting the execution and visualization of results from these workflows in QGIS. OGC API - Processes - Part 3: Workflows and Chaining is a draft OGC specification allowing to use an OGC API collection or the output of an OGC API process as an input to another process, as well as to trigger the execution of that process via data delivery requests, making the results easily accessible from OGC API clients using the data delivery APIs (e.g. Features, Coverages, Maps, Tiles...). The latest draft specifications are available at: https://docs.ogc.org/DRAFTS/21-009.html Financial support for the project provided by GeoConnections, a national collaborative initiative led by Natural Resources Canada. GeoConnections supports the integration and use of the Canadian Geospatial Data Infrastructure (CGDI), an on-line resource that improves the sharing, access and use of open geospatial information. Authors and Affiliations – Jacovella-St-Louis, Jerome (1) (1) Ecere Corporation Track – Use cases & applications Topic – Standards, interoperability, SDIs Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/fc0004e7-b281-40dc-bda4-479052dd7789https://video.osgeo.org/w/624En5z27tX9zEJvHtqZMhhttps://video.osgeo.org/lazy-static/thumbnails/459ce18b-962f-42d5-aa43-f2786f38dfc5.jpgFOSS4G - A Multidisciplinary Exploration of FOSSPython for Open Source GIS is multidisciplinary by nature and continually learning from adjacent disciplines. This talk will highlight how tools from the PyData community are augmenting the toolboxes of geospatial professionals. You will also come away with a sampling of key open source GIS tools that are being used across multiple disciplines. Description: The general format of the talk will be as follows: General overview of the multidisciplinary nature of FOSS tools Highlight of some recent interesting applications using FOSS Quick overview of some key libraries that are enhancing the multidisciplinary nature of FOSS tools Authors and Affiliations – Collins, Brendan (1) (1) makepath, U.S. Track – Use cases & applications Topic – Data visualization: spatial analysis, manipulation and visualization Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/28a3b189-f8cb-4106-a9f0-40fac5e01896https://video.osgeo.org/w/5mmGTKHDmcHcd9foNdbeiPhttps://video.osgeo.org/lazy-static/thumbnails/ad947d15-5b98-4634-ab74-3456b7b494e6.jpgFOSS4G - pycsw project status 2021pycsw is an OGC CSW server implementation written in Python and is an official OSGeo Project. pycsw implements clause 10 HTTP protocol binding - Catalogue Services for the Web, CSW of the OpenGIS Catalogue Service Implementation Specification, version 3.0.0 and 2.0.2. pycsw allows for the publishing and discovery of geospatial metadata, providing a standards-based metadata and catalogue component of spatial data infrastructures. The project is certified OGC Compliant, and is an OGC Reference Implementation. The project currently powers numerous high profile catalogues such as US data.gov, geoplatform.gov, IOOS, NGDS, NOAA, US Department of State, US Department of Interior, geodata.gov.gr, Met Norway and WMO WOUDC. This session starts with a status report of the project, followed by an open question answer session to give a chance to users to interact with members of the pycsw project team. This session will cover how the project PSC operates, what is the current project roadmap, and recent enhancements focused on ESA's Earth Observation Exploitation Platform Common Architecture (EOEPCA) and OGC API - Records. pycsw is an OGC CSW server implementation written in Python and is an official OSGeo Project. pycsw implements clause 10 HTTP protocol binding - Catalogue Services for the Web, CSW of the OpenGIS Catalogue Service Implementation Specification, version 3.0.0 and 2.0.2. pycsw allows for the publishing and discovery of geospatial metadata, providing a standards-based metadata and catalogue component of spatial data infrastructures. The project is certified OGC Compliant, and is an OGC Reference Implementation. The project currently powers numerous high profile catalogues such as US data.gov, geoplatform.gov, IOOS, NGDS, NOAA, US Department of State, US Department of Interior, geodata.gov.gr, Met Norway and WMO WOUDC. This session starts with a status report of the project, followed by an open question answer session to give a chance to users to interact with...https://video.osgeo.org/videos/embed/233c30a2-2418-4702-a05a-0c5e1043f46dhttps://video.osgeo.org/w/dwmwxGcSfagAeJHWhqbEp1https://video.osgeo.org/lazy-static/thumbnails/b4016012-0508-4949-8c1c-29bdbd78511f.jpgFOSS4G - Remote Sensing and Modeling Tools Exploration for Habitat Delimitation of LeishmaniasisRemote Sensing and Modeling Tools Exploration for Habitat Delimitation of Leishmaniasis Transmitting Vectors Leishmaniasis encompasses a group of vector-borne parasitic diseases, characterized by their diversity and complexity, that affect both humans and other vertebrates. They are caused by different species of parasites of the Leishmania genus, which are transmitted by bites from hematophagous female sandflies. This work proposed to model the occurrence probability of five sandflies species of sanitary interest for South America, from a bibliographic compilation of records of the last 10 years. To develop the model, the free software MaxEnt was used. This exploratory analysis made it possible to visualize the areas where the species are distributed. In addition, we analyzed land changes in vegetation around a town in Jujuy province, Argentina, where a leishmaniasis outbreak occurred during the years 2017 and 2018. For this, Sentinel-2 images were used, and a change vector was calculated for the difference between two dates of the Normalized Difference Vegetation Index (NDVI). This part of the work was made using SNAP software for images pre-procesing, Python for the change vector obtention and QGIS for the result post-procesing. From the exploration of MaxEnt software we were able to know the most suitable places for the distribution of the most important five species in the study region, and therefore, to project future decision-making to prevent and control leishmaniasis transmission. And in turn, obtain an approximation of how anthropogenic activities, as deforestation, can have an influence on leishmaniasis specific outbreaks transmitted by these species. Finally, from the exploration of the different tools used in this work, the importance of validation with field data for the generation of accurate analyses and predictions is highlighted. It implies that more data collection is necessary to validate the models and analyzes generated, to guarantee the co...https://video.osgeo.org/videos/embed/656aa084-b912-4f9b-8bbc-035bffcebd9ehttps://video.osgeo.org/w/t5ahU91UmGMDyseyDBMkbYhttps://video.osgeo.org/lazy-static/thumbnails/d18feba0-0e6d-40fb-8eef-ba371142517f.jpgFOSS4G - Al Accelerated Human-in-the-Loop schools and land use and land cover mappingAl Accelerated Human-in-the-Loop schools and land use and land cover mapping for climate actions AI isn’t perfect when it comes to learning about complex satellite imagery and real-world features. On the other hand, only relying on humans to map complex features and objects is too tedious and slow. AI accelerated human-in-the-loop methods provide new approaches to quickly create map objects and features for climate actions with scalable cloud computing power and growing EO data. At Development Seed, we’ve been proudly working with two partners, UNICEF and Microsoft Planetary Computer, to bring AI accelerated human-in-the-loop methods to the hands of policymakers, scientists, and mappers for SGD and climate actions. In this talk, we would like to present: What are AI accelerated human-in-the-loop methods for SDG and climate action? How can we leverage the scalable methods in the era of growing EO data and cloud computing? How fast and scalable we can create accurate school and LULC maps for policymakers, scientists, and mappers. Please see the abstract above Authors and Affiliations – Development Seed Track – Open data Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/db3b71e5-4023-462e-bd4e-2309a1cf2500https://video.osgeo.org/w/4dyzcTVeFgo2QtQ6P4FQsuhttps://video.osgeo.org/lazy-static/thumbnails/72e6692a-4110-4bce-b963-93593891a2de.jpgFOSS4G - Open Source and Mining: a roadmapOver the last 15 years, great strides have been covered in the Geospatial Open Source domain with the rise of numerous FOSS development companies using QGIS and PostGIS as foundational technologies to serve their clients and expand their scope. Nonetheless, the Geospatial Open Source community has been largely absent from METS (Mining Equipment, Technology and Services) despite the high applicability of the solutions it has developed for closely related sectors such as hydrogeology or infrastructure network management. This presentation highlights potential strategies for Open Source developers to integrate the mostly untapped Mining Industry market through a review of the current state of the METS software market, areas of potential improvement, customer demands and practical examples. Over the last 15 years, great strides have been covered in the Geospatial Open Source domain with the rise of numerous FOSS development companies using QGIS and PostGIS as foundational technologies to serve their clients and expand their scope. Nonetheless, the Geospatial Open Source community has been largely absent from METS (Mining Equipment, Technology and Services) despite the high applicability of the solutions it has developed for closely related sectors such as hydrogeology or infrastructure network management. This presentation highlights potential strategies for Open Source developers to integrate the mostly untapped Mining Industry market through a review of the current state of the METS software market, areas of potential improvement, customer demands and practical examples. Authors and Affiliations – Dr. Evren Pakyuz-Charrier - Lead Geologist at Oslandia Track – Use cases & applications Topic – New trends: IoT, Indoor mapping, drones - UAV (unmanned aerial vehicle), Artificial intelligence - machine learning, deep learning-, geospatial data structures, real time raster analysis Level – 1 - Principiants. No required specific knowledge is needed. Language of t...https://video.osgeo.org/videos/embed/1a0c6a2c-3889-4f24-b0d0-185d48712ea8https://video.osgeo.org/w/9FNVRaUsCeBWymc6cgQ3Vvhttps://video.osgeo.org/lazy-static/thumbnails/1dca4cd2-0293-4adb-a1a9-a1b737332898.jpgFOSS4G - Seamless fieldwork thanks to QFieldCloudQFieldCloud's unique technology allows your team to focus on what's important, making sure you efficiently get the best field data possible. Thanks to the tight integration with the leading GIS fieldwork app QField, your team will be able to start surveying and digitising data in no time. Discover what QFieldCloud has to offer and how, thanks to seamless integration with your SDI, it can help make your teams' fieldwork sessions pleasant and efficient. And if you want to roll out your own customized version, nothing will stop you, QFieldCloud is open source! QFieldCloud is a SaaS (software as a service) solution built by OPENGIS.ch that allows your team to seamlessly integrate field data to your SDI. QFieldCloud is written in python using the Django Web framework that encourages rapid development and clean, pragmatic designs. QField is the mobile data collection app for QGIS with more than 110K active monthly users and 400K downloads. Discover how the seamless synchronisation with QFieldCloud can help make your teams' fieldwork sessions pleasant and efficient. Authors and Affiliations – Marco Bernasocchi OPENGIS.ch Track – Software Topic – Data collection, data sharing, data science, open data, big data, data exploitation platforms Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/46580976-de8e-4f2b-b16d-2a3d98c34677https://video.osgeo.org/w/2t6n5poeGuyDkzJfLeqtnxhttps://video.osgeo.org/lazy-static/thumbnails/ad87e3c5-01ac-4f6f-a3b2-d4926136073e.jpgFOSS4G - QGIS and OGC APIs - how do they work together?QGIS demo as a generic Desktop capability. Alongside the various OGC API server implementations, clients are in the process of being set up to interact with the OGC API services. In this talk we present some new capabilities of QGIS and GDAL to interact with OGC API’s. Additionally to the various OGC API server implementations, more and more clients are being set up to interact with the OGC API services. This talk will focus on on QGIS and some new capabilities of QGIS and GDAL to interact with OGC API’s. - The WFS provider in QGIS has been extended to support OGC API Features. The functionality builds on top of the WFS provider. - The QGIS Metasearch plugin is in the process of being extended to support OGC API - Records a dataset search plugin for QGIS. Metasearch uses internally OWSLib, a python library with extended OGC API client support. - Also GDAL, a swiss army knife for spatial data, has been extended to interact with various OGC API's. In case there is news to share on client support for OGC API Maps, Coverages, Tiles and Styles, you’ll hear of it during the presentation. Authors and Affiliations – Athina Trakas Even Rouault Paul van Genuchten Tom Kralidis Track – Software Topic – Standards, interoperability, SDIs Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/0be18697-7d29-4dc0-a9af-754f755e703dhttps://video.osgeo.org/w/5oo656c7njitmbX197rq46https://video.osgeo.org/lazy-static/thumbnails/c0ad0a73-ff7b-4dfc-b8f6-d26b9fc731fa.jpgFOSS4G - Bringing language support to pygeoapiThe pygeoapi project easily allows developers to build their own data providers. This talk describes the creation process of a bilingual OGC API Records provider and how it led to a pull request that brought multilingual support to pygeoapi. The Canadian Geospatial Platform (CGP) has recently built an open REST API, known as the geoCore API, that offers users the ability to return metadata records both in French and English. As part of the OGC API Records code sprint, a pygeoapi data provider was developed that queries CGP's REST API. However, pygeoapi did not provide a mechanism yet that allowed us to query the CGP records in the desired language. Furthermore, pygeoapi's web frontend was available in a single language only and featured lots of hard-coded text strings. To solve this problem, a PR was created that made pygeoapi language aware and allowed users to request data in their language of choice using either a query parameter or an Accept-Language header. This talk will discuss the difficulties faced when adding language support and demonstrate the resulting pygeoapi provider and the technologies used to implement it. Authors and Affiliations – Van Genuchten, Paul - GeoCat BV, The Netherlands Lu, Bo - Natural Resources Canada (NRCan), Canada Melnick-MacDonald, Christopher - Natural Resources Canada (NRCan), Canada Kralidis, Tom - Environment and Climate Change Canada (ECCC), Canada Garnett, Jody - GeoCat Inc. Canada Track – Use cases & applications Topic – Standards, interoperability, SDIs Level – 3 - Medium. Advanced knowledge is recommended. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/23848789-3b70-4bee-9c20-2bafc5d90cdbhttps://video.osgeo.org/w/rMochGKi5LUTN1o5udRBaqhttps://video.osgeo.org/lazy-static/thumbnails/2559aa36-7652-4038-9d77-40af925d196f.jpgFOSS4G - Monitoring active fires in the Lower Paraná River floodplain: analysis and ...Monitoring active fires in the Lower Paraná River floodplain: analysis and reproducible reports on satellite thermal hotspots Floodplain wetlands play a key role in hydrological and biogeochemical cycles and comprise a large part of the world's biodiversity and resources. The exploitation of remote sensing data can substantially contribute to monitoring procedures at broad ecological scales. In 2020, the Lower Paraná River floodplain (also known as Paraná River Delta, Argentina) suffered from a severe drought, and extended areas were burned. To monitor the wildfire situation, satellite products provided by FIRMS-NASA were used. These thermal hotspots —associated with active fires— can be downloaded as zipped spatial objects (point shapefiles) and include recent and archive records from VIRRS and MODIS thermal infrared sensors. The main aim was to handle these data, analyze the number of hotspots during 2020, and compare the disaster with previous years' situation. Using a reproducible workflow was crucial to ingest the zip files and repeat the same series of plots and analyses when necessary. Obtaining updated reports allowed me to quickly respond to peers, technicians, and journalists about the evolving fire situation. A total of 39,821 VIIRS S-NPP thermal hotspots were detected, with August (winter) accounting for 39.8% of the whole year’s hotspots. MODIS hotspots have lower spatial resolution than VIIRS, so the cumulative MODIS hotspots recorded during 2020 were 8,673, the highest number of hotspots of the last 11 years. Scripts were written in R language and are shared under a CC BY 4.0 license. QGIS was also used to generate a high-quality animation. The workflow can be used in other study areas. An R workflow to obtain reproducible reports on active fires monitored with satellite products is presented. The work is an ecological application of spatial analyses conducted with open-source software (R, QGIS). By presenting this approach and results, I aim to...https://video.osgeo.org/videos/embed/d0ca9d33-b85e-457a-9ecd-c0c20f27a1f6https://video.osgeo.org/w/uFx5JtaBnBW8ZeupMgC5bShttps://video.osgeo.org/lazy-static/thumbnails/5052af2d-a034-413c-bb33-4e798074e4b2.jpgFOSS4G - Global Earth MonitorWith the unprecedented volume of EO data, the possibilities for its use are endless. The cloud infrastructure and various tools make it easy to visualise the data, analyse it, and even run some machine learning models to determine land cover or the like. What is needed, however, is the ability to run these processes on a regular and ongoing basis so that we can make decisions based on what we learn, in parallel as events happen. With Sentinel Hub and especially our EO browser, we have helped raise awareness about the use of Earth Observation. With Global Earth Monitor, we want to go a step further - make it possible (and sustainable in terms of cost!) to monitor the planet on a weekly or even daily basis and extract relevant information from the data. We will present the development of the processes and open source tools that will allow any data scientist to create their monitoring stream. Please see the abstract above Authors and Affiliations – Synergyse Track – Transition to FOSS4G Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/e8450b52-011d-4c94-8415-a8643248de76https://video.osgeo.org/w/uXR7zhvcpJnvPiwPPMNPZwhttps://video.osgeo.org/lazy-static/thumbnails/30898c55-acae-4006-9a4a-c321e58d1729.jpgFOSS4G - Beyond The Hype: One Year Running Addresscloud on 100% ServerlessServerless enables geospatial developers to build applications without worrying about servers or containers. In this session we will look at the advantages and challenges of serverless for geospatial, drawing on Addresscloud's experience as an early adopter and insights gained from using serverless to power production geocoding and location intelligence services. What’s it like to run a geospatial service without any servers? Addresscloud is a Software-as-a-Service for geographic risk and location intelligence. Addresscloud is powered by FOSS; using a combination of PostGIS, COGs, Elasticsearch, Vector Tiles, MapLibre GL and GeoJSON our APIs are used by millions of consumers in the insurance, finance and logistics sectors across Europe and North America. In 2020 we completed a re-architecture of our service to become 100% serverless. As early adopters of serverless for geospatial this talk will explore the advantages of serverless, demonstrating how it has improved our scalability, reliability and consistency of service, and enabled us to become more competitive. We will also share our experience of the transition and the challenges faced, particularly around developer learning curves, system observability and complexity. The presentation will be useful for members of the community looking to use their favourite FOSS tools to build geospatial applications in the cloud. Authors and Affiliations – Tomas Holderness, Addresscloud, United Kingdom Track – Use cases & applications Topic – Business powered by FOSS4G Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/ea8c0e97-b6fd-41c3-8bb6-5c200311e1c4https://video.osgeo.org/w/7tdSAv5nwAACLzgWzPrVTQhttps://video.osgeo.org/lazy-static/thumbnails/10f24372-dbe2-46df-a89a-910f66b50f55.jpgFOSS4G - Towards a better integration of GeoServer in a high-available cloud infrastructureGeoServer can be used quickly for many scenarios for the implementation and operation of map services, but so far GeoServer was not optimal for the operation of high-availability applications and / or for operation in a cloud infrastructure. In this talk, the Microservices-based architecture of the “Cloud Native GeoServer” project will be presented, as its use in the NexSIS project, in which emergency call processing in France was modernized. GeoServer is an open source software for the implementation and operation of map services. GeoServer is a proven and widely used solution. For the use of GeoServer for applications that require very high availability, such as for emergency call processing systems, the classic architecture of GeoServer is not optimal. For such a system, several instances of the application must be operated at the same time, sharing the same configuration. To achieve this, complex setups have been required, which, due to their complexity, can also be prone to errors. In the Cloud Native GeoServer project, GeoServer can now be used in such a way that several instances use the same configuration in a simpler way, which simplifies the setup and operation of GeoServer as a high-availability system and / or as a cloud service. Furthermore, the various services of GeoServer are offered by different microservices in order to be able to optimize the use of resources and thereby achieve better scalability. This talk explains the architecture of this Cloud Native GeoServer and explains its use in the NexSIS project, in which the GeoServer Microservices are operated in a Kubernetes cluster and thus ensure highly available map services within emergency call processing. Authors and Affiliations – Adrien VAN HAMME (1) Gabriel ROLDAN (1) (1) Camptocamp Track – Software Topic – Software/Project development Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/3463d8ba-e9cf-465f-a1d2-3a852d8e29aahttps://video.osgeo.org/w/2QZyuJz6CRdkFwJxqojg7Ahttps://video.osgeo.org/lazy-static/thumbnails/76f69d80-559c-4077-be04-54008ec51ddc.jpgFOSS4G - Live Coding Mapbox and React Apps with Typescript and Web ComponentsBuild web mapping applications faster and with less pain using Typescript and Web Components. Typescript helps you code faster by giving you immediate feedback on errors, but also insight into function parameters, available methods and documentation. Web Components and component driven design make it easier to build complex applications by divvying up responsibilities. They also make it easy to share and deploy your applications across the web. The included approaches apply equally well to Angular, Vue, etc., and other mapping libraries like Google Maps, Leaflet and Open Layers. I'm the Senior Software Engineer at ZevRoss Spatial Analysis, where we have 20 years of experience conducting research in the fields of environmental health, exposure assessment, natural resources and urban planning. The company has helped to unravel geographic and temporal patterns in data for clients ranging from the World Health Organization and Fortune 500 companies to universities and small non-profit organizations. Company research has been published in high impact journals and cited by The New York Times, NPR, The Los Angeles Times, and other major media outlets across the country. This talk will be useful for anyone developing web mapping applications and is interested in Typescript as a more efficient and enjoyable paradigm when working with Javascript. Web components enable easier reuse of discrete UI components, and mirror the component driven design principles that are already at the heart of the major web frameworks. This talk could be useful for anyone who is just getting started with web mapping, but will probably be more useful to those who already have some familiarity with building web apps using Mapbox or one of the other mapping libraries. Authors and Affiliations – Chris Marx ZevRoss Spatial Analysis, NY, USA Track – Software Topic – Software/Project development Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/0ef04ff9-0f9b-4a4e-b451-94a5cfedae8ahttps://video.osgeo.org/w/tzsiVc7ZxxbQFLgPGptrLzhttps://video.osgeo.org/lazy-static/thumbnails/f187bd3b-8aca-446f-8631-22b39c7cc0d5.jpgFOSS4G - Transportation Engineering with FreeCADParametric CAD has made inroads in transportation engineering in recent years. FreeCAD provides an excellent framework for the development of a free / open source CAD package for 3D parametric cad modelling of highways and related infrastructure. A broad view of the development of the FreeCAD Trails workbench for horizontal and vertical alignment design, 3D proof-of-concept and geomatics / surveys will be presented. The Trails workbench is being designed as an all-in-one workbench to provide tools for 3D highway design and modelling, from surveys / geomatics through alignment design and 3D models, including volumetric calculations. Integration with GIS is in its nascent stages as development efforts have been focused largely on stability and prototyping key tool sets and user interface elements. Authors and Affiliations – Joel Graff, P.E. Dixon, Illinois, US Track – Software Topic – Software/Project development Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/df52806d-c50a-4105-8fa9-1ec4904ec785https://video.osgeo.org/w/1v2nTGPGsHGj17nzBe6trZhttps://video.osgeo.org/lazy-static/thumbnails/93bdd335-0d00-4b13-b0f3-0a4266722058.jpgFOSS4G - Enriched mobile apps for trails!The use of mobile devices for outdoor activities in nature has increased significantly over time. These mobile applications are of great use for this type of activities and, in addition, they give great added value to detailed spatial information in natural environments, far from urban centres, in comparison to commercial applications, which are not oriented towards providing this type of services. Thus, two use cases of ready-to-use applications are presented for general use (Basic Maps of Spain) and for a particular use (Camino de Santiago). These applications are designed to be very easy to use, without having to make any configuration to connect to the official map services of Spain from CNIG (National Centre for Geographic Information) and its download centre to obtain maps and routes. With these applications you can follow tailor-made natural routes throughout Spain, stages of the Camino de Santiago or use your own tracks, plan excursions using maps, navigation and guided tours..., all offline, without the need for an Internet connection after downloading data. All the maps and routes used are free and allow you: * GPS location, even without mobile coverage * Offline map mode, saved in advance * GPS tracks on the maps of the National Geographic Institute * Save and view tracks in gpx, kml and kmz format * Positioning display with coordinates, course, speed, altitude * Calculation of distances It should be noted that the development has followed a multi-platform approach, where the implementation has been carried out with HTML and the specific mobile applications for Android or iPhone have been generated from these developments. These use cases show the community an attractive way to implement mobile applications using OGC standards and Open Source libraries, from which to adapt and enrich the contents to be consumed. Url: Basic Maps of Spain https://play.google.com/store/apps/details?id=es.ign.meb&hl=es&gl=US Road to Santiago de Compostela https://play...https://video.osgeo.org/videos/embed/040d6b0f-9933-460f-bba5-487a80b732e7https://video.osgeo.org/w/hRFCTMkgXtRweZWWHWgYUxhttps://video.osgeo.org/lazy-static/thumbnails/9cd5669d-999d-40a4-b572-c720645edfcb.jpgFOSS4G - MapMint: The service-oriented platformMapMint is a comprehensive task manager for publishing web mapping applications. It is a robust open-source geospatial platform allowing the user to organize, edit, process and publish spatial data to the Internet. MapMint includes a complete administration tool for MapServer and simple user interfaces to create Mapfiles visually. MapMint is based on the extensive use of OGC standards and automates WMS, WFS, WMT-S, and WPS. All the MapMint functions run through WPS requests calling general or geospatial web services vector and raster operations, Mapfiles creation, spatial analysis and queries, and much more. MapMint server-side is build on top of ZOO-Project, MapServer, GDAL, and numerous WPS services written in C, Python, and JavaScript. MapMint client-side is based on OpenLayers and Jquery and provides user-friendly tools to create, publish and view maps. In this presentation, MapMint architecture and main features will be presented, and its modules: Dashboard, Distiller, Manager, and Publisher described with an emphasis on the OGC standards and OSGeo softwares they are using. Some case studies and examples will finally illustrate some of the MapMint functionalities. MapMint is a comprehensive task manager for publishing web mapping applications. It is a robust open-source geospatial platform allowing the user to organize, edit, process and publish spatial data to the Internet. MapMint includes a complete administration tool for MapServer and simple user interfaces to create Mapfiles visually. MapMint is based on the extensive use of OGC standards and automates WMS, WFS, WMT-S, and WPS. All the MapMint functions run through WPS requests calling general or geospatial web services vector and raster operations, Mapfiles creation, spatial analysis and queries, and much more. MapMint server-side is build on top of ZOO-Project, MapServer, GDAL, and numerous WPS services written in C, Python, and JavaScript. MapMint client-side is based on OpenLayers and Jquery and p...https://video.osgeo.org/videos/embed/88821703-43bc-4e5d-be53-f4b34d8bef9fhttps://video.osgeo.org/w/vqqsBzsjE5Bm4Ngt3YA93bhttps://video.osgeo.org/lazy-static/thumbnails/e89b21d3-5c91-4731-9f5d-3087c2e29076.jpgFOSS4G - OGC API - Deeper Dive into OGC API Features, Records and EDRThis presentation will include insights and updates on the development of three OGC APIs, namely OGC API Features, OGC API Records and OGC Environmental Data Retrieval API. OGC API - Features provides the fundamental API building blocks to create, modify, and query geospatial vector data on the Web, building on widely used web standards and practices with good tool support. Part 1, approved by the OGC membership in 2019 after two years of testing, focuses on capabilities that almost everyone will need who wants to share vector data via an API (support for basic spatial and temporal queries, WGS84 as the coordinate reference system). Part 2 followed a year later with support for other coordinate reference systems. Additional parts are under development to specify frequently requested API capabilities for those that need them (filtering, queries, create/update/delete, schema support, etc). This presentation will describe what is in Parts 1 and 2 of the standard, and will also explain the emerging extensions of the API. OGC API - Records specifies the behaviour of an API for searching collections of descriptive information, called records. A record contains summary information about a resource that a provider wishes to make discoverable. A resource can be a data collection, a service, a process, a style, a code list, an Earth observation asset, a machine learning model, etc. The core API of OGC API Records is the same as that defined for OGC API Features with several additional query parameters that are specifically targeted for searching collections of records. It defines several encodings for a record, including a GeoJSON, a HTML and an ATOM encoding. It builds on the work already done in other OGC APIs and endeavours to be compatible to the previous OGC catalogue specification, OGC (CSW). It furthermore endeavours to align with the STAC suite of specifications by defining a GeoJSON encoding for a record, using the same OGC API Features-based API and harmonizing...https://video.osgeo.org/videos/embed/ee41f1e6-71ad-4116-b3b8-5aee569e13eehttps://video.osgeo.org/w/r859tfVYRW2QgWq2trfzWkhttps://video.osgeo.org/lazy-static/thumbnails/9a94b84e-8737-4650-ac6d-55fe1e18be72.jpgFOSS4G - Integrate Spatial Data in your business processesSpatial information always brings added value to workflow processes of all kinds. Traditionally, applications for managing general information do not incorporate management functionalities for the associated spatial information, which is treated independently and, thus, not synchronised. This leads to lack of coordination and can cause management and decision-making processes to be delayed or not have the spatial information updated in real time. This success case shows the development of a general interface for the integration of spatial information in the worflow of general purpose applications by establishing communication interfaces based on OGC protocols and Open Source tool capabilities, acording to the following workflow: Workflow process identification and sending of information in JSON format. Representation of the general purpose information using OGC protocols. Editing of the spatial and alphanumeric file information via OGC protocols. Consolidation of spatial information in the central processing repository. In this way, by means of Open Source technologies, instantaneous updating of the spatial information associated with procedures is carried out in real time through the use of OGC protocols and Open Source technologies. This success case proves how, through standard-based interfaces, the absolute integration of spatial data in a centralised repository is achieved and managed in the data production processes in an instantaneous way, resulting in a unified product that allows the processing and management of procedures with spatial information updated in real time. Technologies: PostGIS, GeoServer, OpenLayers, Mapea, OGC standards, GeoJSON, REST API Authors and Affiliations – Guadaltel - Daniel León - Manuel Martín Soria - Antonio Juan Amador Track – Use cases & applications Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and ma...https://video.osgeo.org/videos/embed/cb713a5c-7d8a-4b6d-950a-29f64f6fa0d3https://video.osgeo.org/w/4U9GhVv1ikgjJoisexQDaLhttps://video.osgeo.org/lazy-static/thumbnails/838b8c80-744d-495e-9796-f0f9fa24ad9f.jpgFOSS4G - The Intersection of Geospatial Open Source and CommerceFOSS4G conferences have helped generate interest in, and adoption of free and open source geospatial tools. Whether it is the business-to-business conference events, or the support of commercial organizations sponsoring FOSS4G conferences, it is clear that commercial interests and open source communities intersect in a variety of ways. This talk aims to describe several of the different paths that commercial organizations take to leverage free and open technologies for business success. The following three real world examples will illustrate these paths: Very small organizations providing FOSS4G consulting and training services Product companies including FOSS4G tools in powering niche products Platform companies that have built their platforms upon open source frameworks The case study examples will include further details including how my current employer utilizes open source technology. Finally, the talk will speculate on why large, commercial companies such as Google, routinely open source their own technologies such as Kubernetes and other geospatial examples. This presentation looks plainly at the business aspects of the FOSS4G ecosystem. In short, how does free and open source software for geospatial help cultivate business success and sustain livelihoods? Authors and Affiliations – Michael Terner, Hexagon, USA Track – Use cases & applications Topic – Business powered by FOSS4G Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/1f937347-8a0f-405c-a651-607064e4bcfahttps://video.osgeo.org/w/5KvN6hNysW2KVCZYxsrQTghttps://video.osgeo.org/lazy-static/thumbnails/a4bd15c7-cd85-4ce2-b7b2-4c518d7c96b4.jpgFOSS4G - Geospatial analysis using python 101This workshop is ideal for someone who has recently started using python and exploring the possibilities of it in the GIS industry. This is the beginning of complex spatial scripting Since almost all industries are more or less connected to Location and mapping, it is important to spread awareness and literate developers to understand different aspects of the GIS (Geographic Information System) industry. The first Part of this series focuses on different GIS Data types and how to read them, This includes understanding different data formats such as Shapefiles, GeoJSON, WKT, CSV, TIFF, GeoTIFF, etc.. Users can actually read such files on their computers and be familiar with them. The second part of this series focuses on geospatial analysis with python. Users will first practice working with some core GIS functionalities using GDAL and OGR on the terminal (and later in python). After this, users will be familiarised with the most widely used geospatial python libraries such as pandas, geopandas, fiona, shapely, matplotlib, PySAL, rasterio. Complete Series is divided into the following sub-topics : 1. Introduction and Installation of all Geospatial libraries in computer and in python environment 2. Working with GDAL and OGR capabilities 3. Spatial Operations and Relationships 4. Vector data analysis and visualization 5. Raster Data analysis and visualization 6. Working with Interactive Map in a python notebook Pre-requisite for this workshop: 1. Basic knowledge of python 2. Basic knowledge of GIS and GIS Data formats Access more detailed information at : https://github.com/krishnaglodha/foss4g-2021 Authors and Affiliations – Krishna Lodha Requirements for the Attendees – Anaconda env - https://www.anaconda.com/products/individual Track – Use cases & applications Topic – Data visualization: spatial analysis, manipulation and visualization Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/2677e5fb-aa7e-449a-96b3-f5e013bc90c5https://video.osgeo.org/w/qdofBmpSL6cY7NU3TzvzxKhttps://video.osgeo.org/lazy-static/thumbnails/3d37119d-b39a-4a3b-abef-18649112c859.jpgFOSS4G - BioPAL – Collaborative Open Source Software Development for ESA’s BIOMASS missionESA's BIOMASS mission is designed to provide, for the first time from space, P-band Synthetic Aperture Radar measurements to determine the amount of above ground biomass (AGB) and carbon stored in forests. The novelty of BIOMASS’s sensors poses the challenges to develop scientific algorithms, estimating i.e. ESA’s AGB data product, with limited data pre-launch and for timely improvement of operational algorithms with the mission launch in 2023. The BIOMASS Product Algorithm Laboratory (BioPAL - http://www.biopal.org) is an open-source scientific project, supporting the development of official BIOMASS mission algorithms coded in Python. The goal of BioPAL is to bridge the gap between advancements in scientific algorithm development and fast integration into ESA’s BIOMASS’s ground operations. It is the first time that official processing algorithms for an ESA mission are released publicly and supported by open and collaborative development within the scope of an open-source software project and community. Please see the abstract above. Authors and Affiliations – Stefanie Lumnitz, European Space Agency Clement Albinet, European Space Agency Alberto Alonso-Gonzalez, German Aerospace Center Francesco Banda, Aresys Michele Caccia, European Space Agency Emanuele Giorgi, Aresys Mauro Mariotti d'Alessandro, Politecnico Milano Paolo Mazzucchelli, Aresys Nuno Miranda, European Space Agency Klaus Scipal, European Space Agency Maciej Soja, Mj Soja Consulting Track – Transition to FOSS4G Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/c415f75e-fbd0-4fbc-8e79-493e680a2dcdhttps://video.osgeo.org/w/7UP4NC38heBjNMAFNQoyaxhttps://video.osgeo.org/lazy-static/thumbnails/82b473f7-88fc-4e1c-9c36-4606f22db491.jpgFOSS4G - GeoNetwork and Search Engine OptimizationWe'll present some of our efforts and experiences with improving SEO in the standard GeoNetwork software, and share some hints on how an administrator or data steward can optimize and monitor SEO via configuration. "A majority of catalogue visitors arrives from search engines" found the UK GeoSpatial Commission in a 2019 study of the UK data portal. They developed a best practice document on Search Engine Optimization (SEO) for (spatial) data portals. In this presentation we present some of our efforts and experiences with improving SEO in the standard GeoNetwork software along these guidelines, and share some hints on how an administrator or data steward can optimize and monitor the SEO via configuration. Access to data for a non spatial audience is also an important driver of the OGC API developments. OGC API Records development in GeoNetwork therefore aligns very well with the SEO efforts. Finally we’ll introduce you to the use of schema.org in GeoNetwork which feeds amongst others Google Dataset Search. Authors and Affiliations – Jo Cook, jocook@astuntechnology.com, Astun Technologies, UK Paul van Genuchten, paul.vangenuchten@isric.org, ISRIC.org, Netherlands Track – Open data Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/37f68360-d0de-402a-819d-224ca67c7d99https://video.osgeo.org/w/23K218sxWy3RmpwTmxSq7ahttps://video.osgeo.org/lazy-static/thumbnails/042d02a0-10ef-4491-ab82-78fa6cd957a3.jpgFOSS4G - Live coding: Leaflet web mapsA live coding session on Leaflet web maps, with some of its plugins. Just a showcase of common and not-so-common things that can be done on a web map. This would be a live coding session, not a traditional workshop - audience is not required (nor expected!) to follow along. Authors and Affiliations – Iván Sánchez Ortega (1) (1) Freelancer Requirements for the Attendees – This would be a live coding session, not a traditional workshop - audience is not required (nor expected!) to follow along. Track – Software Topic – Software/Project development Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/087b22f4-5105-43d2-8e90-22448c5b0ac5https://video.osgeo.org/w/vehxnKjhZ6sQVdoHCBvJjvhttps://video.osgeo.org/lazy-static/thumbnails/1d0c6f90-c992-412b-946a-2fa679ec4c4a.jpgFOSS4G - OpenStreetMap and the neglected pedestrianPedestrians have been neglected. We’ve seen monumental progress in digital maps, but much of this has been road centric. Even open source projects like OpenStreetMap have revolved more heavily around road networks than the parts of a city a pedestrian would frequent. In this presentation we download data from OpenStreetMap that relates to pedestrians to see how much it differs from the reality on the ground. We contrast different types of cities, seek to understand why pedestrian data is lacking, and look at solutions such as Mapillary that can help make OpenStreetMap more pedestrian friendly. The evolution of digital maps of the last 20 years has been nothing short of incredible. The experience for the end consumer has continued to improve, with better map data, more intuitive interfaces, and greater portability. A lot of the developments have focused on in-car navigation, with Google Maps, Apple Maps, HERE Maps, and TomTom dedicating significant resources to the space. OpenStreetMap is an open source mapping project, and even here vehicle based navigation has dominated. In this presentation we’ll explore the state of pedestrian data in OpenStreetMap, how it differs between cities, why it’s important to think about, and how we might collectively improve the quality of pedestrian data. To begin with, we’ll take a look at data downloaded with Overpass Turbo. The data represents nodes, ways, and areas with pedestrian relevant tags such as highway=footway and sidewalk=both. Our analysis focused on five cities with differing characteristics: • Folsom, USA • Heidelberg, Germany • Melbourne, Australia • Stone Town, Tanzania • Yesan, South Korea These cities differ in population, cultural characteristics, urban planning, history, and topography. We’ll explore what kind of OpenStreetMap tags have been used in each city, how close this matches the state of pedestrian infrastructure, and how the cities compare to one another. We’ll then look at some reasons why pedestrian...https://video.osgeo.org/videos/embed/ecb3e245-5916-4df7-8de3-aaa5fc520b91https://video.osgeo.org/w/bzbbfeEHLFzXTrGcGZfREMhttps://video.osgeo.org/lazy-static/thumbnails/250e118e-a6f0-4e5b-8000-8694c1515621.jpgFOSS4G - SMASH and Geopaparazzi, state of the art of the digital field mapping projects.All the new features of the digital field mapping app SMASH. All you should know about the future of the Geopaparazzi project. If you are a surveyor, that's the right talk for you. For over a decade Geopaparazzi has been one of the few digital field mapping apps of the Osgeo firmament. After that many years in use a natural evolution happened and lead to SMASH, a more user-friendly, modern, faster to develop and cross platform app for the eyes of IOS, Android, but also Macos and Linux users. In few years SMASH has covered the featureset of geopaparazzi and is moving forward quickly. Geopackage and PostGIS editing support, Kalman filter on gps logs, geo-fences, native geotiff and shapefile visualization support, SLD styling for vector datasets – are some of the features that were added, that geopaparazzi doesn’t have. The Survey Server has been redesigned with the same technology used by SMASH and has now the ability to visualize data in the same look and feel as the mobile app. Notes serverside-versioning has been introduced to enhance synchronization of data by teams. A redmine plugin is being developed by community members to create a geo-ticketing system. This presentations gives an insight about the state of the art of the SMASH and Geopaparazzi projects and their current roadmaps. Authors and Affiliations – Andrea Antonello (1) (2) Silvia Franceschi (1) (1) HydroloGIS S.r.l. (2) Free University of Bolzano Track – Software Topic – Software status / state of the art Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/559d33dc-f94c-45ae-a831-04d6cbc3082dhttps://video.osgeo.org/w/kUH4mdEGRAq9GZJnwdLi53https://video.osgeo.org/lazy-static/thumbnails/73fe462b-19a5-4ca5-b9e7-5526fd81433d.jpgFOSS4G - Provita Geoportal: a serverless GIS portal using the JamstackProvita, an environmental NGO based in Venezuela, needed a multi-lingual Geoportal to disseminate their national and regional GIS data to researchers, 3rd party organizations, and the general public. They needed to be able to upload and publish data sets and their associated metadata self-sufficiently, as well as the ability for end-users to preview the datasets on an interactive map. Furthermore, Provita needed the Geoportal to be very economical and hands-off regarding operation and maintenance. In this session, we describe in the detail how we developed a high-performance and cost-effective serverless Geoportal using a statically generated site and tilesets, taking advantage of the Jamstack, Github APIs, and Amazon Web Services (AWS) for storage and on-demand computation. We explain how we used Gridsome, an open source static-site generator for Vue.js, to create end-user and administrator interfaces, and how we integrated the MapLibre GL open source mapping library, to provide a map preview capability for end-users. We discuss options we considered for back end storage of GIS files, metadata and tilesets, and describe how we architected a low-touch, low-cost, scalable end-to-end solution. We also describe how we implemented user authentication and access control using a combination of Github OAuth, Lambda functions and AWS policies. In addition, we present our approach for very inexpensive and extremely flexible site hosting using Netlify. Finally, we explain our approach for tile generation using AWS batch job capabilities and the use of spot instances to minimize costs. Attendees interested in developing similar applications or contributing to this open source, open data project, will benefit from lessons learned discussed in this session. The proposed presentation outline is as follows: Introduction, requirements and design considerations Geoportal live demo, end-user and admin interfaces What is the Jamstack and how we leveraged it to build the Geop...https://video.osgeo.org/videos/embed/a1399d01-ba40-424e-89de-66ed3f6be9eehttps://video.osgeo.org/w/3v5n7sCvz8qxZCjuUuiLrphttps://video.osgeo.org/lazy-static/thumbnails/dbeb1316-a818-4fd8-8fe4-5de668dda502.jpgFOSS4G - API de OGC: antecedentes, estado actual, qué sigueThe OGC Application Programming Interface (API) suite of standards is a family of Web APIs that have been created as extensible specifications designed as modular building blocks that enable access to spatial data that can be used in data APIs. This presentation provides an insight into OGC API activities, developments and an outlook on what to expect in the last quarter of the year and 2022. And it will give an update on the "hot" topics around OGC APIs and OGC open standards, the collaboration of OSGeo and OGC and how we can further develop open standards together. This presentation provides an insight into OGC API activities, developments and an outlook on what to expect in the last quarter of the year and 2022. And it will give an update on the "hot" topics around OGC APIs and OGC open standards, the collaboration of OSGeo and OGC and how we can further develop open standards together. Authors and Affiliations – Trakas, Athina (1) Hobona, Gobe (1) (1) Open Geospatial Consortium Track – Software Topic – Standards, interoperability, SDIs Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/1441893a-d1f8-4c14-8326-946fa3ed9cd9https://video.osgeo.org/w/a9A8sVEhqf4KXAjiAjL86Nhttps://video.osgeo.org/lazy-static/thumbnails/4d72c920-1cbb-4747-bddc-3180b7ecc5a6.jpgFOSS4G - pygeoapi: what's new in the Python OGC API Reference Implementationpygeoapi is an OGC API Reference Implementation for Features. Implemented in Python, pygeoapi supports many other OGC APIs via a core agnostic API, different web frameworks (Flask, Starlette, Django) and a fully integrated OpenAPI capability. Lightweight, easy to deploy and cloud-ready, pygeoapi's architecture facilitates publishing datasets and processes from multiple sources. This presentation will provide an update on the current status and latest developments, including the implementation of numerous new OGC APIs including gridded/coverage data (OGC API - Coverages), search (OGC API - Records), vector/map tiles (OGC API - Tiles), and Environmental Data Retrieval (EDR API). pygeoapi is an OGC API Reference Implementation for Features. Implemented in Python, pygeoapi supports many other OGC APIs via a core agnostic API, different web frameworks (Flask, Starlette, Django) and a fully integrated OpenAPI capability. Lightweight, easy to deploy and cloud-ready, pygeoapi's architecture facilitates publishing datasets and processes from multiple sources. This presentation will provide an update on the current status and latest developments, including the implementation of numerous new OGC APIs including gridded/coverage data (OGC API - Coverages), search (OGC API - Records), vector/map tiles (OGC API - Tiles), and Environmental Data Retrieval (EDR API). Authors and Affiliations – Tom Kralidis (Open Source Geospatial Foundation tomkralidis@gmail.com) Francesco Bartoli (Geobeyond Srl francesco.bartoli@geobeyond.it) Angelos Tzotsos (Open Source Geospatial Foundation tzotsos@gmail.com) Just van den Broecke (Just Objects B.V. justb4@gmail.com) Paul van Genuchten (GeoCat B.V. paul.vangenuchten@geocat.net) Track – Software Topic – Standards, interoperability, SDIs Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/4a153b0c-2e4d-45b1-abdf-6e59c5d0a9cchttps://video.osgeo.org/w/mf29wkvkD8bGSsRrRfJLXDhttps://video.osgeo.org/lazy-static/thumbnails/8dc04651-6c15-4f6d-81b3-0446f9ba7519.jpgFOSS4G - ON THE FEASIBILITY OF APPLYING ORBITAL CORRECTIONS TO SAOCOM-1 DATA.....ON THE FEASIBILITY OF APPLYING ORBITAL CORRECTIONS TO SAOCOM-1 DATA WITH FREE OPEN SOURCE SOFTWARE (FOSS) TO GENERATE DIGITAL SURFACE MODELS: A CASE STUDY IN ARGENTINA In this work we present an orbital correction workflow developed with FOSS tools to compensate for orbital errors present in Synthetic Aperture Radar (SAR) interferograms. The technique is tested in forested areas in Argentina, using full polarimetric images from the argentinean SAR constellation SAOCOM-1 (Satélite Argentino Con Microondas). The results are contrasted with field measurements of canopy height provided by local producers, and the results show that the Root Mean Square Error (RMSE) of the satellite measurements is significantly reduced after the orbital correcction. Moreover, forest plantation become more distinguishable in the retrieved Digital Surcace Models, especially in those pairs with larger spatial baseline. A section of this article is also dedicated to the discussion on which are the best parameters to run the module, and how different configurations can affect the result. KEY WORDS: SAOCOM-1, Forest Plantations, SAR Interferometry, Orbital Corrections, FOSS, Digital Surface Model (DSM) Authors and Affiliations – S. A. Seppi (1) , E. A. Solarte Casanova (2),(5) , Y. L. B. Roa (3),(5) , L. Euillades (3),(5) , M. Gaute (4) (1) Instituto de Altos Estudios Espaciales Mario Gulich, Cordoba, Argentina - santiago.seppi@ig.edu.ar (2) Departamento de Geologia Aplicada, Facultad de Ciencias Exactas Fisicas y Naturales, Universidad Nacional de Cordoba andres.solarte@mi.unc.edu.ar (3) Instituto CEDIAC, Facultad de Ingenieria, Universidad Nacional de Cuyo, Argentina (leonardo.euillades, yenni.roa)@ingenieria.uncuyo.edu.ar (4) Ministerio de Agricultura, Ganaderia y Pesca, Buenos Aires, Argentina - mgaute@magyp.gob.ar (5) Consejo Nacional de Investigaciones Cientificas y Tecnicas (CONICET), Argentina Requirements for the Attendees – The article is mainly targeted to people who are...https://video.osgeo.org/videos/embed/a3ebe48f-5705-4c06-95f9-120f27fda09bhttps://video.osgeo.org/w/iCm33LsMFEqyLesdhguSCBhttps://video.osgeo.org/lazy-static/thumbnails/e8d382a0-0142-4880-ac80-0996fbe3a679.jpgFOSS4G - Edusat: remote sensing as a learning materialThe intensification in recent decades of scientific evidence on climate change and on the degradation of natural systems has led to increasing public awareness about the environment. In recent times, this commitment to respecting the natural environment has emerged strongly among young people. Through various platforms, entities, and slogans, students from all over the world, and belonging to different disciplines, are coming together to defend their right to have a planet that enjoys good environmental health. In this talk we’ll present the platform Edusat (https://www.edu-sat.com/?lang=en), which aims to provide young people with empirical and quantitative learning tools to strengthen their ecology message. By means of remote sensing and through the data generated by the Copernicus program, an educational resource that analyzes the consequences of global environmental change is presented. In this context, remote sensing is a technological and transdisciplinary resource that provides young people with scientific arguments to censure the current relationship between human societies and nature. Please see the abstract above Authors and Affiliations – SIGTE - University of Girona Track – Transition to FOSS4G Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/8ebe7aea-2608-419f-9de9-e54fad3bf4a3https://video.osgeo.org/w/rG54MwA8XQpMsUjus4UVkDhttps://video.osgeo.org/lazy-static/thumbnails/dcf77fc6-7d96-4258-96a4-8f82aa592aa7.jpgFOSS4G - Mexican Geospatial Data CubeThe Mexican Geospatial Data Cube is an open source tool that enables smart access, management and processing of large volumes of satelite data. The applications of such tool in the field of information production are endless. During this talk we will share the most innovative ways in which the Data Cube is supporting different domains such as water, vegetation and urban growth. Please see the abstract above. Talk, Sustainable development Authors and Affiliations – Jimena Juarez,INEGI Track – Transition to FOSS4G Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/d00cb8fc-9175-475d-84c9-e54e7291d677https://video.osgeo.org/w/9wsF6jGUpcHV2svusgVxAqhttps://video.osgeo.org/lazy-static/thumbnails/45726923-e3fa-4156-8097-5044ad5886c6.jpgFOSS4G - Development and prospects of Re:Earth, an open source GIS web app using CesiumThis year we released Re:Earth, our no-code web GIS tool that uses Cesium under the hood, to the OSS community. Re:Earth's aim is not to rewrite the wheel, but rather to harness the power of the 3D globe and allow absolutely anyone to visualize and share their geospatial data. Users are able to import preexisting data and build projects off of that, or start from scratch and then easily publish the project or export the data in a variety of supported formats. All without the need of an engineering team. The Re:Earth team is currently recruiting OSS committers and plug-in developers to help expand Re:Earth's potential and build a digital earth community of users and developers. The Re:Earth project grew from the idea of, "What would be possible if anyone, anywhere could access the digital Earth's potential?". To make this a reality, we knew Re:Earth needed to be no-code, but more than that we needed to make sure hardware or OS requirements wouldn't get in the way either, so that is why it is a fully web-based application. We also knew projects as well as data would need to be shareable so we have both project publishing and data exporting. Publishing a project is easy and gives users the chance to opt-in or out of SEO, change their URL and setup publishing to their own domain. Exporting data is easy and supports many of the most common file formats seen in GIS. Our hope has always been to open Re:Earth up to the OSS community and build a global community around it and what it stands for. The first step to making this happen was Resium, a popular OSS package that allows developers to use Cesium with React. With Resium we have been able to write Re:Earth's codebase with React and Typescript on the front end. As the main backend language we chose Go. By using these modern languages we have kept Re:Earth highly maintainable and scalable and hope that other developers will find contributing to it easy. Beyond the code, we have already begun our global community with ...https://video.osgeo.org/videos/embed/4509dc5e-4e7c-4c4e-9d83-fd73bbbfbf20https://video.osgeo.org/w/f9Huyw92Z9bivUVUQVF6pUhttps://video.osgeo.org/lazy-static/thumbnails/1203794b-b5db-422d-9025-5e01ce063dc6.jpgFOSS4G - Leaflet: getting started with web mapping the easy way!Leaflet is currently one of the most popular libraries to create dynamic web maps. But why? The answer is simple: because Leaflet is easy to use, avoids unnecessary complexity, and still offers all of the functionality that any modern web map needs. In this workshop you will learn anything that you need to know to get started with Leaflet. In just a few hours you will know how to create a web map, even if this is your very first contact with web mapping. Topics include: - creating an HTML template - creating a basic web map - adding various basemaps - adding markers, lines polygons - interactions (zoom, pan, etc.) - introduction to GeoJSON - converting any file-based vector format to a format readable by Leaflet - event handling (e.g. getting the coordinates of a click on the map) - if time allows: overview of more complex topics (e.g. connecting to a PostGIS database etc.) This workshop is taught by the author of the Leaflet Cookbook - Recipes for Creating Dynamic Web Maps (Locate Press 2019). Web development knowledge is a benefit, but not a necessity. The workshop will focus on Leaflet and anything related to general web dev will be explicitly mentioned and explained, if need be. All data, code, and outcomes will be shared. Feel free to simply sit back and enjoy! If you want to follow along, all you need is a simple text editor (or your IDE of choice). I will show how to convert various vector formats to GeoJSON using QGIS. If you don’t have QGIS I can share the outcomes with you (but you should nevertheless probably get QGIS, because it’s a really, really good product :-)). Authors and Affiliations – Numa Gremling Requirements for the Attendees – laptop, text editor (e.g. Notepad++) (or IDE of choice). Track – Use cases & applications Topic – Software/Project development Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/72977646-a853-43d5-b3a0-0ba408deb106https://video.osgeo.org/w/dT5z4of1e5uDisTcNLmtKMhttps://video.osgeo.org/lazy-static/thumbnails/536f9023-6b5c-4aa9-83eb-905c80200c5c.jpgFOSS4G - Create great applications for you need with MapbenderMapbender is Web GIS Client that helps you to create applications for the web. This presentation will show what is possible and you will see how easy it is to work with Mapbender. Mapbender improved a lot. With the new version we have a refactored design and many new or improved features. You can integrated your WMS Services and confirgure them individually. You can manage access rights for applications. Authors and Affiliations – Emde, Astrid (1), WhereGroup Bonn, Germany Track – Software Topic – Software status / state of the art Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/684f699b-e086-449c-ac4e-ac3b5543dd97https://video.osgeo.org/w/7dLJ9z2BJnKoJ5BaGiaDsEhttps://video.osgeo.org/lazy-static/thumbnails/827eb9b7-be85-4b20-817f-be1ffcf22dc3.jpgFOSS4G - Forecasting the Future of Weather Data with GOES-R and TileDBThe Geostationary Operational Environment Satellite-R (GOES-R) series provides continuous satellite imagery of the Earth’s eastern hemisphere. GOES-R series datasets are made available through multiple cloud service providers via NOAA’s Big Data Program. The datasets include Level 1b and Level 2 satellite data split into directories of NetCDF files stored for consecutive time periods. This talk will show how to use TileDB Embedded, an open-source universal storage engine, to combine data from multiple GOES-R products into a single easily-accessible dataset. In this talk, I will show how to ingest data from the GOES-R Advance Baseline Imager (ABI) and Geostationary Lightning Mapper (GLM) into cloud-ready storage using TileDB Embedded. I will discuss the pros and cons of keeping the original NetCDF data model, and show how to combine datasets that consist of both dense and sparse arrays. With the arrays stored in TileDB Embedded, I will show how to efficiently slice weather data, locally and remotely on cloud object storage; how to use data versioning to time-travel across any changes to an array; and give an overview of some of the open-source tools that integrate directly with TileDB Embedded. Authors and Affiliations – Julia Dark (TileDB) Track – Use cases & applications Topic – Data collection, data sharing, data science, open data, big data, data exploitation platforms Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/325f522c-ffb0-466d-b567-5162ce386676https://video.osgeo.org/w/ndDHupcXhErf81RQjjwM3chttps://video.osgeo.org/lazy-static/thumbnails/5a82dad1-575d-4348-8921-217f6cbccc12.jpgFOSS4G - Data Journalism and FOSS4G: Tools to face negationism and PandemicHow can a small and independent media press help in the fight against negationism and pandemic? In this talk I intend to share an insteresting use case from a small and independent media press on a Data Journalism project using FOSS4G to infer whether or not the forest fire occurrence is agravating respiratory syndrome related to COVID-19 in the braziliam Amazon biome, using Copernicus Atmosphere Monitoring Service, air poluttion sensors and health public data. This is a talk about facing negationist government and the pandemic with thoughts about this process and the technical explanations on how we approached this project. Authors and Affiliations – Felipe Sodré Mendes Barros (1) Juliana Mori (2) Sonaira Souza da Silva (3) Renata Hirota (4) Eduardo Geraque (5) (1) External Data Scientist (2) InfoAmazonia Director and Journalist (3) Professor at Acres' Federal University (4) External Data Scientist (5) Journalist Track – Use cases & applications Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/abd4147b-172d-4c57-8dca-dd450def3563https://video.osgeo.org/w/gnZ9JtuoiVCwTi3EVMLRaLhttps://video.osgeo.org/lazy-static/thumbnails/0f96cd24-7d4b-472b-9208-810c6bfdb507.jpgFOSS4G - Going viral in the pandemicHow to build a map website in one afternoon? How to get 1 million visits in less than 24 hours? How to technically survive to an unexpectedly high traffic without spending a huge amount of money? A story about a small GIS company that developed a website that helped millions in a very difficult moment. A tale of collaboration, generosity, open source software and luck. The ‘Keep it simple’ motto to the highest extent. Starring Geomatico, Mapbox, COVID-19, Github, Amazon, Alejandro Sanz and Nicolás Maduro. On March the 23rd, after five weeks of COVID-19 lockdown, president Sanchez announced that Spain will begin easing restrictions. In this first attempt at loosening measures across the country, children under the age of 14 would be allowed to go outside of their homes for one hour a day, accompanied by an adult. The measure limits travel to no further than 1 kilometer from home. But just how far is 1 kilometer? To help navigate these new rules, Geomatico, a Spanish GIS company, developed a non-profit web application using Open Source tools and donated services from Mapbox that allows adults and children to visualize a 1 kilometer radius around their home. In ten days, 1km.geomatico.es became a reference for individuals and families throughout Spain looking to safely leave their house for the first time in over a month. Thanks in part to Mapbox’s support, the team has been able to deliver this mapping service for free to over 7 million users in multiple languages Authors and Affiliations – Micho García Oscar Fonts Francisco Pérez Martí Pericay Track – Use cases & applications Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/7c8aeb5a-a77a-475d-a7ff-d37bf171546ahttps://video.osgeo.org/w/tC515mwFKKsrRWdyzCWmcMhttps://video.osgeo.org/lazy-static/thumbnails/689be1e4-92e8-4a5a-ac96-5888b04d5da3.jpgFOSS4G - PgMetadata - A QGIS plugin to store the metadata of PostgreSQL layers inside the databasePgMetadata - A QGIS plugin to store the metadata of PostgreSQL layers inside the database, and use them inside QGIS PgMetadata is made for people using QGIS as their main GIS application, and PostgreSQL as their main vector data storage. The layers metadata are stored inside your PostgreSQL database, in a dedicated schema. Classical fields are supported, such as the title, description, categories, themes, links, and the spatial properties of your data. PgMetadata is not designed as a catalog application which lets you search among datasets and then download the data. It is designed to ease the use of the metadata inside QGIS, allowing to search for a data and open the corresponding layer, or to view the metadata of the already loaded PostgreSQL layers. By storing the metadata of the vector tables inside the database: QGIS can read the metadata easily by using the layer PostgreSQL connection: a dock panel shows the metadata for the active layer when the plugin detects metadata exists for this QGIS layer. QGIS can run SQL queries: you can use the QGIS locator search bar to search for a layer, and load it easily in your project. The administrator in charge of editing the metadata will also benefit from the PostgreSQL storage: PostgreSQL/PostGIS functions are used to automatically update some fields based on the table data (the layer extent, geometry type, feature count, projection, etc.). The metadata is saved with your data anytime you backup the database You do not need to share XML files across the network or install a new catalog application to manage your metadata and allow the users to get it. The plugin contains some processing algorithms to help the administrator. For example: a script helps to create or update the needed "pgmetadata" PostgreSQL schema and tables in your database a algorithm creates a QGIS project suitable for the metadata editing. This project uses the power of QGIS to create a rich user interface allowing to edit your metadata easil...https://video.osgeo.org/videos/embed/dfaffc44-cea7-455f-84e6-344c585f87cbhttps://video.osgeo.org/w/c92ayPw384KwMeKrvhvKGehttps://video.osgeo.org/lazy-static/thumbnails/d0e64f59-a10f-4803-85b8-1b6c04726e17.jpgFOSS4G - A fast web 3D viewer for 11 million buildingsCan we visualize a data set of millions of buildings smoothly even on mobile devices? Turns out we can! 3D BAG is a data set containing all buildings in the Netherlands in 3D and we built a viewer to allow users to see it through their browser. This is how we utilized 3D Tiles and three.js to build a viewer from scratch with the main focus on efficiency and the data itself. This is a presentation about the 3D BAG web viewer, which allows for the visualization of 11 million buildings in the Netherlands. We built the viewer from scratch, using three.js and 3DTilesRendererJS for the consumption of the data. During the process, we had to implement our own WMS/WMTS viewer for three.js and to optimize the creation of 3D Tiles. The main focus was to provide a smooth experience to the user, focusing mainly on the efficient streaming of the data. We also added some basic measuring tools for buildings (height and slope of surface). The source code of the viewer is available here. All software used in the process is FOSS. We hope to make this an independent platform for others to distribute similar data. This project has received funding from the European Research Council (ERC) under the European Unions Horizon2020 Research & Innovation Programme (grant agreement no. 677312 UMnD: Urban modelling in higher dimensions). Authors and Affiliations – Ravi Peters (1)(2) Stelios Vitalis (1) Jordi van Liempt (1) (1) 3D geoinformation research group, TU Delft, the Netherlands (2) 3DGI, the Netherlands Track – Software Topic – Software/Project development Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/5a33317e-3dc5-40a9-a58d-156f1c267791https://video.osgeo.org/w/gs5HLzqfs9ZkvHn32z3LV8https://video.osgeo.org/lazy-static/thumbnails/6e9f76b4-bec2-40e8-a593-3a5bd1584a2a.jpgFOSS4G - Zaru: A New Platform for Real-Time Spatial DashboardsZaru is a new system for creating real-time spatial dashboards. Zaru uses video-gaming techniques and a novel method of encoding data in images to enable real-time compositing and visualization of potentially giant data sets. This solution was initially developed by design firm Sasaki as a better way to understand the relationship between urban amenities and the people who can access them. The platform is powerful and scalable, but requires no back-end infrastructure to run. As a solution for data sharing and visualization it has broad potential and room for creativity - making it ideal for the FOSS community. Zaru grew out of a need for easier access to large datasets and the desire to find a better way to query and visualize them. We believe interactive models and visualizations can help provide deeper understanding of complex relationships and lead to better-informed decisions. Smooth, real-time feedback lets us keep all assumptions fluid and allow users to understand causal relationships intuitively. By using numeric datasets that can account for probabilities, but also allowing arbitrary inputs to behave as “sliders”, we can play out these scenarios and quickly explore a dense set of possible outcomes. Zaru can be used to support decisions around urban growth scenarios, environmental threat analysis, site selection for development and many other geospatial analyses. Zaru can also be an effective web-based storytelling tool. The underlying technologies borrow from the gaming community, but are very close to standard geospatial practices. We use the WGS 84 web map tile schema and encode data in PNG format (GeoPngDB). Data tiles are loaded exactly as image tiles would be for an aerial or street map, but by keeping the data in raw format, we are able to manipulate the visualization in real-time. This allows us to apply filters and apply color schemes to tease out patterns instantly. In addition to raster datasets, Zaru supports record-based geospatial data u...https://video.osgeo.org/videos/embed/7d1d53aa-1673-4c65-a7bd-144e5aa1ff39https://video.osgeo.org/w/qvFSX6mB4t6du6kN34bcFrhttps://video.osgeo.org/lazy-static/thumbnails/3581f83a-696b-4108-a066-36425ee9363e.jpgFOSS4G - Using NASA Earth Observations to Enable Open ScienceWe are one planet, one human race, working together to understand our world – the systems, the people, the places and the complexities that underly them all. To enhance our understanding, NASA’s Earth Science Division (ESD) employs a fleet of satellites equipped with sensors that collect petabytes worth of Earth observations aimed to help scientists and researchers learn more. NASA has the unique vantage point to see the bigger picture and identify more valuable, expansive uses of data previously siloed by a specific research question or hazard type. NASA’s ESD missions give researchers unprecedented insights into Earth’s systems and are driven by the integration and harmonization of data sources from multiple spatial scales. NASA Earth science data provide a wealth of information to aid in our understanding of Earth’s processes, in the development of innovative solutions for real-world challenges, and in making data-based decisions. These datasets, which cover even the most remote areas of Earth, are freely and openly available to anyone but not always intuitively discoverable and accessible in GIS formats. NASA’s Earth Science Data Systems (ESDS) program and Distributed Active Archive Centers (DAACs) have developed resources and tools to overcome this challenge. In this talk, we will demonstrate resources for geospatial analysts wishing to get started using NASA data. There is a growing need for NASA data to be GIS-ready for easy integration and analysis in the primary tools employed by user communities. Join us to learn about how NASA Earth Science is enabling data through services, applications and story maps and distributing content through online platforms. Learn about our Earthdata community space and GIS Data Pathfinder, developed to guide users to numerous geospatial web services and tools to access GIS-ready data. NASA advocates a collaborative culture enabled by technology that empowers the open sharing of data, information, and knowledge within the s...https://video.osgeo.org/videos/embed/c680791f-64d0-43f5-85d7-9103b6539d7bhttps://video.osgeo.org/w/qWYrBwKW6XwdyFpnyFqmZthttps://video.osgeo.org/lazy-static/thumbnails/b4e0b28f-8a28-4dbd-8ca0-716663c3ad1b.jpgFOSS4G - Handling GeoTIFFs in client-side code with GDAL and LoamGDAL provides extensive capabilities for processing GeoTIFFs and other spatial data formats. However, until recently, the use of GDAL in web applications was limited to server-side code. This talk will describe how we use WebAssembly and a new wrapper library we developed, called Loam, to make GDAL's suite of tools accessible from client-side code. This strategy enables improved user experiences and can lower infrastructure costs for web applications handling GeoTIFFs and other spatial data. This talk will cover: - Description of WebAssembly and how it enables GDAL to be run within a web browser. - Description of the Loam wrapper library. - Example integration of Loam and GDAL into a simple React application. - Examples / demos of other ways to use GDAL within client-side applications to improve user experience and reduce infrastructure costs. Authors and Affiliations – Dohler, Derek Azavea, Philadelphia, Pennsylvania, USA Track – Software Topic – Software/Project development Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/ca084658-98f7-43d5-ac6a-23477d4bc4c5https://video.osgeo.org/w/qU5wMTcZwRqt6LmXGd8N9ihttps://video.osgeo.org/lazy-static/thumbnails/becef4a4-bcdd-40c3-8580-9036f7c93ae2.jpgFOSS4G - Building Open Source Community in PandemicBuilding an open-source community is already a huge effort. The covid-19 pandemic made this even harder. We started the QGIS Indonesia community - then it called QGIS ID, an Indonesian QGIS User Group while trying to overcome the pandemic. We manage to have one big meet-up before any social meeting is prohibited. As a new entity, we need to emphasize our existence through a couple of activities. In the circumstance of these limitations, we need to think more innovatively to look for some ways to keep the action of this community. We do not want this pandemic to dampen our enthusiasm for developing the newly formed community. one of the keys to deal with tough situations is adaptation. Upon the limitations to meet physically, we plan some events whereby all participants may join from everywhere, even without the need to leave their house. In this talk, we manage to build the QGIS ID community by creating several online events and also what challenges that we faced. We want to share what we did and hopefully, it can be an inspiration for other open-source communities. We will also share what’s our strategy to run the community without too much administration because we believe the community is the people and the other things can be done later. We started our 1st meetup in Yogyakarta right before Covid-19 spread in Indonesia, there were 60-80 participants who joined the event. Initially, we have created a plan to hold another event in 2020 to collaborate with another GIS/geospatial community. However, Indonesia Government applied a physical distancing policy were limiting the people to create events in March 2020. In the circumstance of these limitations, we need to think more innovatively to look for some ways to keep the action of this community. We started with creating a Telegram group and other social media to share our activities and discussions between the member. Besides that, we create an online sharing event with a presenter from Indonesia and aboard (th...https://video.osgeo.org/videos/embed/c9a0cbcf-739c-447b-ad53-4b937176e6f1https://video.osgeo.org/w/mpXVLT1zs5M3JTtzWwX3J8https://video.osgeo.org/lazy-static/thumbnails/9f916f0e-8588-45a2-b7a3-5f796e0b4548.jpgFOSS4G - Cold war reconnaissance imagery reloaded: orthorectifying the 1960s in high resolutionCORONA is the code name for the first optical reconnaissance satellite mission of the United States (1960-1972). The goal of the mission was to produce high-resolution analog photos of most of the Earth’s surface, especially of political hot spots and military locations. Due to the regular recordings, large areas could be continuously monitored and evaluated for the Department of Defense. Until 1995, more than 800,000 photos remained secret and were then made publicly available by the US Geological Survey on the order of President Bill Clinton. The high-resolution CORONA photos (2 m to 60 cm pixel resolution) are available as scans for a fee from the USGS and represent a unique source of information for science, archaeology and other disciplines. Since the camera systems of the CORONA satellites have a special panoramic distortion, common linear methods cannot be used for the orthorectification of the scans. mundialis has developed an innovative free and open source technology to rectify these unreferenced scans of CORONA photos to current map references and published it in GRASS GIS 7.9. This photogrammetric solution models the CORONA camera mathematically and thus enables a precise referencing of the CORONA data. In many parts of the world, the CORONA scenes have preserved images of a landscape that predates the most intrusive infrastructural and land-use projects of modern times. Traditional architecture, agricultural patterns and settlement systems can be observed in great clarity on CORONA imagery. This makes CORONA a precious resource in fields such as archaeological and historical geography. See also the mundialis blog for an imagery example. More information the use of CORONA data for archaeological purposes can be found here. Technical aspects of orthorectification of CORONA scenes are covered in: Casana J., Cothren J. (2013) The CORONA Atlas Project: Orthorectification of CORONA Satellite Imagery and Regional-Scale Archaeological Exploration in th...https://video.osgeo.org/videos/embed/a54f58a2-95b9-4419-b2e5-995f00f98acbhttps://video.osgeo.org/w/vPwPqETmn7NoejNmf18fEmhttps://video.osgeo.org/lazy-static/thumbnails/1e9aebfb-1425-4ec6-a87b-f9fca618f399.jpgFOSS4G - Graph algorithms on the database with pgRoutingWhat are the alternatives when a road is closed? You didn't find a path, because your graph is disconnected and you didn't know? pgRouting is more than finding the Shortest Path on the database. We provide graph algorithms that can solve those questions and more! pgRouting extends the PostGIS PostgreSQL geo-spatial database to provide shortest path search and other graph analysis functionality. This presentation will show the current state of the pgRouting development: * Wide range of shortest path search algorithms * Flow analysis * Graph Contraction * Graph Coloring Among other algorithms We will explain the different categories for the functions on the library: * Official * Proposed * Experimental We will talk about other products that we provide: * osm2pgrouting * pgRoutingLayer for QGIS Start reading about our project at https://docs.pgrouting.org/latest/en/index.html Authors and Affiliations – Vergara, Vicky (1) (1) Georepublic, OSGeo Requirements for the Attendees – none Track – Software Topic – Software/Project development Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/f17bf86c-0f15-4323-aa88-6f3dfde5f280https://video.osgeo.org/w/gt7tcz6kXgjHZrdqCHZTs7https://video.osgeo.org/lazy-static/thumbnails/8da9ac3c-f0ec-4b67-911a-345559f36a08.jpgFOSS4G - State of GRASS GIS: The Dawn of a New EraGRASS GIS is a well established, all-in-one geospatial number cruncher with Python interface, command line, and GUI. This talk will give an overview of new additions and highlight latest updates in version 7.8 and new major version 8.0. Major updates in 7.8 include Python 3 support, transition to PROJ 6+, easier batch processing, virtual raster mosaic, and improved data compression. Version 8.0 completely revamps the first-time user experience in GUI, streamlines how users interact with their data, and supports dark-themes. The development successfully runs on GitHub, several Docker images are available, and there is a growing number of Jupyter Notebooks. This talk gives an overview of the current state of the GRASS GIS project for both users and developers. The focus will be on new releases, specifically the new major version 8, and various updates including Python 3, PROJ, and GitHub transitions. Authors and Affiliations – Vaclav Petras (1) Linda Kladivova (2) Anna Petrasova (1) Veronica Andreo (3) Markus Neteler (4) The GRASS GIS Development Team (5) (1) Center for Geospatial Analytics, North Carolina State University, USA (2) Faculty of Civil Engineering, Czech Technical University in Prague, Czech Republic (3) Mario Gulich Institute of the Argentinian Space Agency, CONICET, Argentina (4) mundialis GmbH & Co. KG, Germany (5) Global Track – Software Topic – Software status / state of the art Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/7d4225f8-b2cc-4202-875c-2f5c36abb40ehttps://video.osgeo.org/w/gDpQKtujzCxF2HNVBEAzmmhttps://video.osgeo.org/lazy-static/thumbnails/a90e345a-6c6e-451e-aeb2-8b011aa00194.jpgFOSS4G - LANDSLIDES MONITORING WITH TIME SERIES OF SENTINEL-1 IMAGERY INLANDSLIDES MONITORING WITH TIME SERIES OF SENTINEL-1 IMAGERY IN VAN YEN-YEN BAI PROVINCE-VIETNAM Geological disasters like landslides have been causing huge losses for people and property in many countries, especially the ones located in mountainous areas. These disasters are very hot issue that is being paid special attention by managers and researchers from many countries around the world. Vietnam is one of the countries in the region that is frequently affected by landslides due to tropical monsoon climate and three-fourths of Vietnam's land area is mountainous. In the context of global climate change which is happening quite acute, landslides are becoming more dangerous, more severe. According to recent researches almost every year in Vietnam during the rainy season landslides are occurring, causing great damage to people and properties. Scientists around the world have studied the problem of landslide and published many valuable papers on this field. In more recent, many works have focused on remote sensing data and techniques to identify landslide regions, tectonic destruction zones, etc. Remote sensing technology has now become a useful tool in identifying landslides because it provides an integrated view that can be repeated over time. Nowadays, those methodologies are becoming more accessible through many freely distributed datasets and free and open-source software packages. In particular for landslide studies, the SAR satellite interferometric measurement is a method of evaluating changes on the Earth's surface that has been in use for over 20 years and can achieve very good outputs. Differential SAR Interferometry (DInSAR) is a method where are used two or more images at two different times for the same location before and after a topographic change occurs, for example, to detect land deformations. However, this method has many limitations that do not eliminate some of the effects: such as the influence of the atmosphere and some scattering charact...https://video.osgeo.org/videos/embed/7eb24aa7-fd91-40c4-bf0f-a150c4d8fa10https://video.osgeo.org/w/3dMAfC2T2HFuKaVDE4U9tmhttps://video.osgeo.org/lazy-static/thumbnails/aeb49069-06c0-494c-8e89-5f8ebd9d30ad.jpgFOSS4G - Geospatial Services for All: SERVIR’s Inclusive Approach to Service DesignHow can the EO science community build inclusive spaces for the development of geospatial services? How can we ensure that the resulting services benefit all of society, particularly the most vulnerable? SERVIR adopted an intentionally inclusive approach to designing geospatial services to ensure that “Open EO” is open to everyone. This approach facilitates a deep understanding of the development challenge - including an understanding of who is impacted, data and information needs, and where to build capacity - by bringing users into the service design process with USAID and NASA. The resulting geospatial services are more responsive to needs of user communities and better support service uptake and sustainability. This talk will present the tools SERVIR uses to conduct an inclusive service design process to help EO practitioners reflect, plan, and act on solutions that benefit all of society. Authors and Affiliations – Katherine Casey, Knowledge Management Lead, SERVIR Jose Leandro R. Fernandes, User Engagement Lead, SERVIR Amazonia Track – Transition to FOSS4G Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/11fb4c7a-025e-4977-b0bc-25a0bf67af22https://video.osgeo.org/w/mp7TmSiD1pZyJoUXF9eyk1https://video.osgeo.org/lazy-static/thumbnails/d965cd74-37da-4ea5-82cc-8c27ffb14dde.jpgFOSS4G - Using game engines for 3D geospatial developmentWhen it comes to 3D graphics, computer games have been the technical leaders for decades. The game engines behind it have only recently been discovered by GIS manufacturers. This talk introduces game engines in general and the leading open source game engine Godot in detail. It also shows the status of integrating GIS data, which will play an increasingly important role in the age of AR and VR. When it comes to 3D graphics, computer games have been the technical leaders for decades. The game engines behind it have only recently been discovered by GIS manufacturers. This talk introduces game engines in general and the leading open source game engine Godot in detail. It also shows the status of integrating GIS data, which will play an increasingly important role in the age of AR and VR. Authors and Affiliations – Pirmin Kalberer (1) (1) Sourcepole AG, Switzerland Track – Software Topic – Data visualization: spatial analysis, manipulation and visualization Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/a5311f8d-d9dc-4597-bb6e-c5b52d303c76https://video.osgeo.org/w/iiK3wdF3PwL7bGbv5HH5Sbhttps://video.osgeo.org/lazy-static/thumbnails/0c1b0897-2a63-461f-b647-9d603f963649.jpgFOSS4G - Geostyler Mapfile ParserThe GeoStyler mapfile parser provides automatic translation capabilities of style information from mapfile layers into other formats like SLD or QGIS style. This enables for example to transfer the styling of a MapServer project into a QGIS project. There exist a vast number of definitions and formats to encode graphical representations of spatial information like for example QGIS Style File (QML), QGIS Layer Definition File (QLR) oder Styled Layer Descriptor (SLD) among others. GeoStyler offers an intermediary format that facilitates automatic style translation between various styles formats. In the present context, the GeoStyler project was extended with the capabilities to parse styles from MapServer mapfiles. The GeoStyler mapfile parser has been developed in 2020 by camptocamp as a case study for the swiss Federal Office of Topography (swisstopo). As of now it is possible to read styles from mapfiles and translate them into other formats. This presentation will give a quick introduction to the GeoStyler framework before going into more detail about the current state of the mapfile parser including lessons learned and a live demo and future prospects. Authors and Affiliations – Teuscher, Balthasar (1) (1) Camptocamp, Switzerland Track – Software Topic – Software/Project development Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/8c25871d-1dda-4f14-b651-1b14ba40c0a6https://video.osgeo.org/w/21oGJ8ZeiWxUhnLzxfXKD5https://video.osgeo.org/lazy-static/thumbnails/bfdf6f44-9ab6-46be-9421-e24219886828.jpgFOSS4G - How to contribute - deegree developer and user meetingUsers and developers who already use the OSGeo project deegree or are planning to do so for the future are kindly invited to this user meeting. Users and developers of deegree webservices are kindly invited to this meeting. Since deegree's 20 year anniversary didn't get a lot attention in 2020, we as a community now want to make up for it and take a brief look at the development of the past last years. Users can also present their results and experiences with the use of deegree webservices. In addition, necessary enhancements and improvements to deegree are to be discussed and possibilities of cooperation with regard to sponsoring are also discussed. All interested parties are kindly invited. Anyone who wants to contribute is highly welcome. Authors and Affiliations – Friebe, Torsten (lat/lon GmbH, Bonn, Germany) Requirements for the Attendees – Users shall know deegree webservices, download from https://www.deegree.org/download/ Developers shall know the code of deegree hosted at https://github.com/deegree/deegree3 Technical writers shall be familiar with GIS software and, OGC Standards in general General supporters shall know the project contribution guidelines https://github.com/deegree/deegree3/blob/master/CONTRIB.md Track – Community / OSGeo Topic – Community & participatory FOSS4G Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/0827211e-cdca-4cd0-a861-9a180ff8ea8ahttps://video.osgeo.org/w/xypBjDGwvWB27XAs61HodShttps://video.osgeo.org/lazy-static/thumbnails/0ba3f986-6a00-405e-8c02-187a73d7edfa.jpgFOSS4G 2021 - Professional multi-user editing with gvSIG DesktopDuring this presentation, the participants will discover the new version control system and advanced editing tools that have been developed for gvSIG Desktop. With the new version control system, users will be able to edit vector layers and recover the situation of the geometries in a concrete time, very useful for some projects such as the vertical and horizontal sign management on a road or in a municipality. In addition, several advanced editing tools have been included in gvSIG, in order to increase the potential of vector editing. The version control system is a new powerful tool that has been developed for gvSIG Desktop. It is based on the centralization of information to be shared between users, and unlike a normal server, it remembers the changes that have been made to their data. It should be noted that it doesn't store only information, but also the information as well as the modifications users make on it. Apart from the version control system, the last version of gvSIG Desktop includes not only new functionalities for advanced editing but also improvements in the existing tools that have increased the potential of the application. The most outstanding novelty is the new expression manager that has been applied to the filter tool, the field calculator or the editing tools, allowing the selection of elements or the fill in of registers on the table based on geoprocessing tools. Authors and Affiliations – Mario Carrera. gvSIG Association Matéo Boudon. gvSIG Association Track – Software Topic – Software status / state of the art Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/ff91a60e-7506-4c64-80cd-8ed5b210570ahttps://video.osgeo.org/w/bmeQgXLVKNzLwtMhtb79ZUhttps://video.osgeo.org/lazy-static/thumbnails/aee0926f-fe19-4407-86b7-bb4000b12f5e.jpgFOSS4G - Watching after your PostGIS herdIn this talk I will explain how you can set up a PostGIS as a service solution using the open source tools Patroni, Spilo and Postgres Operator by Zalando. In this talk I will explain how you can set up PostGIS as a service with the container orchestration framework Kubernetes. At Zalando we are managing thousand of PostgreSQL clusters and had to find a way to make the database experience for developers as easy as possible. Today they can create new clusters or run major version upgrades themselves with a click of a button. High availability, point-in-time-recovery, role provisioning and monitoring come out of the box. Engineering teams are more independent and can move faster while not boring the database administrators with repetitive operational tasks. The Zalando DBAs on the other hand aim to improve the cloud native Postgres experience and develop open source tools such us Patroni, Spilo or Postgres Operator which will be presented. I joined Zalando in 2019 as a PostGIS user and want to share some of my learning of becoming a database engineer. Authors and Affiliations – Kunde, Felix - Zalando SE, Berlin Germany Track – Software Topic – Software status / state of the art Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/53cec956-8ab9-4a17-be35-d34aacf2b92ehttps://video.osgeo.org/w/8BEsYs5WtQKDpmSqFj11F8https://video.osgeo.org/lazy-static/thumbnails/03a95568-bf59-4ca8-9f06-d35416f53fe2.jpgFOSS4G 2021 - OSGeoLive project reportOSGeoLive is a self-contained bootable DVD, USB thumb drive or Virtual Machine based on Lubuntu, that allows you to try a wide variety of open source geospatial software without installing anything. It is composed entirely of free software, allowing it to be freely distributed, duplicated and passed around. It provides pre-configured applications for a range of geospatial use cases, including storage, publishing, viewing, analysis and manipulation of data. It also contains sample datasets and documentation. OSGeoLive is an OSGeo project used in several workshops at FOSS4Gs around the world. https://live.osgeo.org The OSGeoLive project has consistently and sustainably been attracting contributions from ~ 50 projects for over a decade. Why has it been successful? What has attracted hundreds of diverse people to contribute to this project? How are technology changes affecting OSGeoLive, and by extension, the greater OSGeo ecosystem? Where is OSGeoLive heading and what are the challenges and opportunities for the future? How is the project steering committee operating? In this presentation we will cover current roadmap, opportunities and challenges, and why people are using OSGeoLive. https://live.osgeo.org Authors and Affiliations – Tzotsos, Angelos (1) Emde, Astrid (1) (1) Open Source Geospatial Foundation Track – Software Topic – Software status / state of the art Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/3daab51e-eda8-415d-94ef-140c5a5c985dhttps://video.osgeo.org/w/jojCaE6Rwm4ZBiVpQSbhyyhttps://video.osgeo.org/lazy-static/thumbnails/a7360c8f-97fb-409f-94c4-553a40801903.jpgFOSS4G - Enabling air pollution monitoring with Open Data Cube: implementation for Sentinel-5PEnabling air pollution monitoring with Open Data Cube: implementation for Sentinel-5P and ground sensors observations Nowadays, the amount of open geospatial data delivered e.g. by private and public entities, such as environmental agencies, enables outstanding possibilities to any user interested in investigating real-world phenomena. However, the availability of such information presents several challenges in terms of its practical use. These are mainly connected to the heterogeneity of data sources, formats and processing tools which have to be mastered by the user to obtain the desired results. As a relevant example, air quality monitoring requires the integration of multiple data with different spatial and temporal granularities that are often distributed by more than one provider using not uniform formats and access methods. Besides traditional air pollution ground sensors observations, novel data sources have emerged. Among them, the Sentinel-5P mission of the European Copernicus Programme is one of the most recent Earth Observation platforms providing estimates of air pollutants with daily global coverage. These estimates are promising to foster air quality analysis and monitoring by complementing ground sensors observations. Therefore, the development of data handling and analysis strategies - allowing users for a smooth integration of satellite and ground sensor observations - is key to support future air quality studies. To that end, the present work investigates the use of the Open Data Cube as a single data endpoint to incorporate ground sensors and satellite observations into local air pollution analyses. A preliminary implementation is presented using the Lombardy region (Northern Italy) as a case study. The present work investigates the use of the Open Data Cube (ODC, https://www.opendatacube.org) as a single data endpoint to incorporate sensors and satellite observations into local air pollution analyses. A preliminary implementation is presen...https://video.osgeo.org/videos/embed/94e25603-e034-4a54-8223-28a9ef7a5190https://video.osgeo.org/w/wgsrrNo7buNmTJz6NTDQbYhttps://video.osgeo.org/lazy-static/thumbnails/0307cad4-b431-4b5d-aa2e-ba4a1791209a.jpgFOSS4G - An Open Data Cube Sandbox using Google ColabThe Open Data Cube (ODC) Google Sandbox is a free and open programming interface that connects users to Google Earth Engine datasets. The open source tool allows users to run Python application algorithms using Google's Colab notebook environment. This tool demonstrates rapid creation of science products anywhere in the world without the need to download and process the satellite data. Some example applications include: scene-based cloud statistics, custom cloud-filtered mosaics, spectral index products including vegetation fractional cover, historic water extent, and vegetation land change. Basic operation of the tool can support many users for small-scale analyses and training and can be further scaled to address the U.N. Sustainable Development Goals (SDG). This activity is supported by CEOS and the Open Earth Alliance (GEO community activity). Please see the abstract above. Authors and Affiliations – NASA, CEOS Systems Engineering Office Track – Transition to FOSS4G Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/f51a9c1a-87d0-406e-a9c9-81221ee6afb4https://video.osgeo.org/w/5De7EohDCTigYrpWgWj4pphttps://video.osgeo.org/lazy-static/thumbnails/9857a2ca-8652-4872-a14b-93f176123c5b.jpgFOSS4G - 3D geo-applications with CesiumJS - data, possible use-cases and specificationsWith the development of 3D applications related to geography, the standards and specifications for the provision of corresponding data are increasingly coming into focus. The presentation deals with the current development status of the CesiumJS library as well as the standards and possible uses of individual features and shows some examples from a recent project, in which we presented underground 3D geodata. Thus, this contribution can be seen as a renewal of our 2013 FOSS4G contribution entitled "Modelling 3D Underground Data In A Web-based 3D-Client". Not only are web-based open source 3D applications with a geographic reference constantly developing, but the development of standards and specifications for the presentation of 3D data on the web has also increasingly come into focus. A large number of libraries can be used for the representation on the web (e.g. x3dom, o3d, threejs, BabylonJS, Open GEE). Another library that has been growing steadily for several years is CesiumJS. This is used to process geographical questions in numerous areas. These include the real estate market, urban planning, sports or the various environmental sciences. In our talk we will present the current development status of the library and some possible use-cases of the features and data of CesiumJS will be briefly presented using projects as examples. A focus will also be placed on the requirements of the browser. In addition to the general availability and provision of data, the possible uses of individual selected features of the library will also be presented and discussed. When the world is represented digitally, corresponding data should also be placed there. Depending on the area of application, this can involve a relatively large amount of data, which is the case when dealing with underground data. Ideally this data should also be placed on the map in a simple way. There are already standards for the webbased-presentation of 2D-data in the web, new standards have been d...https://video.osgeo.org/videos/embed/2597280d-05f5-4041-8491-fd9f8e766949https://video.osgeo.org/w/gZBz2mSt72NMnwoMY4hcBEhttps://video.osgeo.org/lazy-static/thumbnails/a90f0f35-ad16-48ea-b4ac-92b5d1518c49.jpgFOSS4G - An introduction to the open access high resolution tropical forest data programAccess to high resolution data to support sustainable development activities, particularly for conservation and deforestation has often been limited by barriers of cost and licensing. Yet the benefit of higher resolution data provides opportunities for improved reporting, monitoring changes or high cadence updates not afforded by public sources alone. This was one of the reasons the Norwegian Ministry of Climate and Environment through NICFI funded the Global tropical forest program initiative to, for the first time ever, enable users to access high resolution data without these usual barriers. The program focuses on the purpose of reducing and reversing the loss of tropical forests and is designed to be as broad as possible to ensure it is useful for as many groups as possible. This presentation will introduce the program, the datasets and the various open tools that can be used to explore the data through case studies and applications. Authors and Affiliations – Charlotte Bishop, KSAT Tara O'Shea, Planet Track – Transition to FOSS4G Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/8184652b-5aa5-4416-82c3-06f4eea7d190https://video.osgeo.org/w/jfWG725BNQ9WtMK36gYAZ1https://video.osgeo.org/lazy-static/thumbnails/7dbb65b4-361d-41d5-ae5d-26e380e90628.jpgFOSS4G - Printing maps in the browser with InkMapPrinting web maps is a challenge in terms of performance, precision and flexibility. InkMap aims to conquer this challenge on the front-end. As an open source Javascript library, it facilitates usage and provides fast results without limiting browser performance. Under the hood InkMap makes use of other open source libraries and modern web technologies. Most solutions for printing maps on the web are based on a backend component. They provide a solid and scalable printing engine, but reach their limitations when it comes to flexibility and user interaction, that are usually constrained by static templates. Front end solutions have the potential to enhance user experience and make print compositions possible that can be customized via gestures like drag and drop. While they have traditionally been limited in performance and the data volume they can process, InkMap wants to eliminate this bottleneck with modern web technologies, that allow multi threading inside the browser. The library uses OpenLayers internally to render the printed map.This means that the library can handle many different formats, both for raster or vector data, and rely on a very performant rendering engine. A JSON specification including layers, resolution, scale, etc. defines a print job and serves as input to the print process. As a result, InkMap generates a map in PNG format, that can easily be embedded in a PDF. Inkmap delegates the print job to a service worker. This enables to run the asynchronous task in multiple threads and speed up performance. The application currently in use stays available to the user without affecting its performance. It also implies that multiple print jobs can run in parallel and their progresses can be tracked. The application can even be shut down as long as the browser keeps running. The service worker makes use of the OffscreenCanvas API to print the canvas outside the window. While service workers are widely supported in modern web browsers today, this...https://video.osgeo.org/videos/embed/93da9d0b-b555-4764-b619-7d48eabc2782https://video.osgeo.org/w/kQB2PxdcdjpZETNrrw8Ma1https://video.osgeo.org/lazy-static/thumbnails/6c4df3f5-c91f-480e-9073-51878bdf115c.jpgFOSS4G - Building Digital Earth AfricaIn 2019 Geoscience Australia announced the creation of the ambitious Digital Earth Africa initiative, modelled on the rising success of Digital Earth Australia. The goal of the Digital Earth platforms is to make petabytes of Earth observation data freely available and accessible to inform policy, stimulate economic growth, and build a deeper understanding of our dynamic planet. This talk will describe how we’ve been building DE Africa and why. The Digital Earth platforms are built on open geospatial data and open source technologies. From the Open Data Cube and the growing library of Python based remote sensing algorithms to TerriaJS, Docker images and infrastructure as code, all our work is shared with the world as reusable, extensible and free open source software. This talk will delve into how: • the Open Data Cube works, • using Xarray and Jupyter Notebooks revolutionised Geoscience Australia’s approach to developing remote sensing applications, • community movements such as Open Geospatial Consortium standards, Cloud Optimized GeoTIFFs and Spatio Temporal Asset Catalog drive the open architecture behind the Digital Earth platforms, • how we’ve been using modern technologies and the cloud to handle working with large volumes of data. Hear the story behind the hype as we explore the past challenges, lessons learned, future opportunities and how you can get involved. Authors and Affiliations – Alex Leith, Geoscience Australia Track – Use cases & applications Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/a0a6eca2-3958-499a-abee-bbdf34f6b736https://video.osgeo.org/w/5w2qboLBdXi9yBfXSkCYkwhttps://video.osgeo.org/lazy-static/thumbnails/ad72950b-d9e1-4917-a1df-1073c217d10e.jpgFOSS4G - The secret life of open source developersA common question seen on many open source mailing lists is "When will you guys fix my bug?" It is critical to my company This is often followed by one of the developers replying to say "When you write a fix or pay someone to do it". This leads to the user complaining to everyone that this snarkiness is not a welcoming response or how unreasonable it is to expect them to learn to program, or to pay. The discussion often descends into a rambling maze of twisty insults and justifications. When the fuss dies down, all the developers go back to doing what they the were doing something useful and the user becomes either a dissatisfied user or an ex-user. This talk by two veteran open source developers will help users see that play out from our the developer point of view. We ll look at the reasons that drive developers to share their code, the licencing conditions covering it, the real life of developers and associated constraints, and what is actually reasonable to expect from both sides. This is a reprise of a very successful talk that was given at FOSS4G 2019 and that has been view more than 4000 times and lead to an interesting discussion of HackerNews amongst other places. Authors and Affiliations – Ian Turton and Andrea Aime GeoTools and GeoServer Project (speaking in a personal capacity) Track – Community / OSGeo Topic – Community & participatory FOSS4G Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/2495bdad-3f33-4557-aba4-fbd79a8ba91chttps://video.osgeo.org/w/jCfCe64Rzn2pyiwL93Dd9vhttps://video.osgeo.org/lazy-static/thumbnails/63af8e30-2409-4deb-b2a5-b9e4b069f62f.jpgFOSS4G - State of GDALWe will focus on recent developments and achievements in recent GDAL versions. In particular, new drivers such as FlatGeoBuf, Cloud Optimized GeoTIFF, EXR, HEIF, OGC API Tiles/Maps/Coverage, STAC Tiled Assets or the infrastructure to write vector drivers in Python. We will also present the multidimensional raster API and its tools. New utilities like gdal_viewshed will be introduced. The state and health of the community and its challenges will also be covered. Authors and Affiliations – Even ROUAULT, Spatialys Track – Software Topic – Software status / state of the art Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – Englishhttps://video.osgeo.org/videos/embed/96d448c9-0805-4f99-bf63-0f924365e185https://video.osgeo.org/w/dX7R92pYP5zUUeKYkWBrQchttps://video.osgeo.org/lazy-static/thumbnails/2217f55b-c797-4f02-b0a5-fc4185996b96.jpgFOSS4G - Assessing cropland changes from violent conflict in central Mali with SentinelIn Central Mali, climate change, food insecurity and growing conflicts over land use necessitate being able to localize areas of food production (Benjaminsen, 2018) . The region’s heavy reliance on subsistence agriculture livelihoods means that humanitarian actors must quickly assess changes in cropland to plan the distribution of food aid. Typically, in the absence of extensive field data, publicly available land cover datasets are used to identify cropland cover. While the proliferation of such datasets (e.g. ESA-CCI or GlobeLand30) has increased over the years, they are often ill-adjusted to the Sahelian context. Assessments conducted of cropland identified by the most used land cover datasets found that none were able to meet the 75% accuracy threshold in Sahelian West Africa (Samasse et al, 2019). While countries like Mali are among those most critically in need of cropland mapping, the current toolkit of landcover data is woefully inadequate for the needs of humanitarian actors. To address this gap, the “3-Period TimeScan” (3PTS) was developed using Google Earth Engine (Gorelick et al., 2017). This product consists of a Red-Green-Blue composite of Sentinel-2 Images where the red band represents the maximum NDVI value during the first period of the growing season, the green the maximum NDVI in the middle, and the blue the maximum NDVI at the end. This condensation of the agricultural season’s temporal evolution singles out cropland from other landcover types. A highly localized cropland change analysis was conducted comparing the 2019 3PTS product with the one of 2017, a year prior to the start of the Central Mali’s conflict. The change status was visually determined per populated site, as supervised classifications required exhaustive manual cleaning to produce a reliable product over such a large and ecologically heterogenous zone. The resulting map was compared with georeferenced data of conflict events, indicating a strong spatial correlation between vi...https://video.osgeo.org/videos/embed/68dfca7f-f1b1-4fc2-a43d-7577372191a7https://video.osgeo.org/w/gqQB8GBLvLEAUgujFLZzuShttps://video.osgeo.org/lazy-static/thumbnails/628b9a82-63bd-4ab4-9b09-8c70d30140f3.jpgKeynote Lecture 8: Global Vision: The Open Source Geospatial Foundation — Jeff McKennaPower your marketing strategy with perfectly branded videos to drive better ROI.https://video.osgeo.org/videos/embed/7cf0e27d-a607-4a75-99c6-0a35b5e5fab6https://video.osgeo.org/w/rMZgLJwnJuE4kQ9WLFjh9Lhttps://video.osgeo.org/lazy-static/thumbnails/33f91d13-04ee-41b4-9bad-18aa28a81b23.jpgLightning Talk 1 GEO4ALL: Open Education Using FOSS4 — Venkatesh RaghavanPower your marketing strategy with perfectly branded videos to drive better ROI.https://video.osgeo.org/videos/embed/d0e03b31-757a-42eb-a5d1-fc7ca573bf7chttps://video.osgeo.org/w/7fQ64piPHBD19nemr3iBTxhttps://video.osgeo.org/lazy-static/thumbnails/7d8cfb70-dc39-4963-9e28-35f3e03932ff.jpgKeynote Lecture 1: FOSS4G in Korea: Challanges & Strategies — Byungnam ChoePower your marketing strategy with perfectly branded videos to drive better ROI.https://video.osgeo.org/videos/embed/32a8e129-9a5a-4eb3-8c7c-5366ee308d81https://video.osgeo.org/w/bugC1nbfYta6nCuyns3WWLhttps://video.osgeo.org/lazy-static/thumbnails/e5db7e02-6d03-46bf-b4e1-b00992754197.jpgCongratulatory Remarks — Won Soon ParkPower your marketing strategy with perfectly branded videos to drive better ROI.https://video.osgeo.org/videos/embed/54edd6bc-d46f-41a6-b2e8-1027db8fa010https://video.osgeo.org/w/1iRN5i7EwJGo6sA2sk9pbphttps://video.osgeo.org/lazy-static/thumbnails/f3a9e553-41ec-4747-ad0a-903bf9a51afa.jpgOpening & Logistics Info — Sanghee ShinPower your marketing strategy with perfectly branded videos to drive better ROI.https://video.osgeo.org/videos/embed/027e54ba-4325-43ce-94f7-ca2e4e920b87https://video.osgeo.org/w/dj2gJ3kse76z8SnMmduZxShttps://video.osgeo.org/lazy-static/thumbnails/4beea632-31ad-4b22-9c67-773e9cac8538.jpgKeynote Lecture 2: FOSS4G For The 5PS — Kyoung-Soo EomPower your marketing strategy with perfectly branded videos to drive better ROI.https://video.osgeo.org/videos/embed/63b1d5cb-5836-4e6b-80bd-712f2da3879chttps://video.osgeo.org/w/aSZ33gMs1XZf3esURsj8M8https://video.osgeo.org/lazy-static/thumbnails/cae1e95b-daf8-4799-9a06-3b8c1a7030d4.jpgWelcome Address 1 — Sangki HongPower your marketing strategy with perfectly branded videos to drive better ROI.https://video.osgeo.org/videos/embed/500095ea-3589-4781-b5f9-1380d1da5b45https://video.osgeo.org/w/qiTLYP7FaBnxYCAyqxRue8https://video.osgeo.org/lazy-static/thumbnails/c68581aa-0263-4705-b793-e79917058a2b.jpgWelcome Address 2 FOSS4G IN Korea:Challanges & Strategies — Jeff McKennaPower your marketing strategy with perfectly branded videos to drive better ROI.https://video.osgeo.org/videos/embed/c4dae135-631f-4f69-a52b-3073f6d0c581https://video.osgeo.org/w/6Dhk1NNqg2BTVDwemSCGxbhttps://video.osgeo.org/lazy-static/thumbnails/59457d25-e372-47e3-8bfa-eba1897634c2.jpgOL3-Cesium: 3D for OpenLayers maps — Guillaume Beraudo, Andread HocevarOL3-Cesium is a new Open Source JavaScript library for adding a Cesium 3D globe to applications based on OpenLayers 3. Concretely, OL3-Cesium creates and automatically synchronizes the 3D globe by reading the raster and vector layers from the 2D map. Additionally, the view parameters (center, resolution, rotation) are bidirectionally synchronized allowing shared 2D/3D interactions. This talk is a general presentation of OL3-Cesium. We will present practical cases of map enhancement with 3D, show code and explain what happens under the hood. We will discuss current status and work in progress. Our main interests will be: - easy kick-start of a side-by-side or stacked views application; - handling of different raster and vector projections; - positioning vectors on terrain or at absolute 3D coordinates; - editing and picking Points Of Interest in a unified 2D/3D manner; - streaming and displaying vector data; - streaming and displaying buildings. OL3-Cesium was started by three companies from the OpenLayers community; we will discuss the benefits of the community, notably in terms of simplicity, speed of development, ease of maintenance, and sharing of complex code. This talk is for anyone interested in adding 3D to OpenLayers 3. Come to this talk to discover new ways of displaying and interacting with your map.https://video.osgeo.org/videos/embed/2db24671-8f32-47df-b413-773064404730https://video.osgeo.org/w/tNnW9Uc6ekrF8n51pUnhHjhttps://video.osgeo.org/lazy-static/thumbnails/f0dab151-63cc-44ea-942d-73b95c7b0071.jpgPresentation of GNOSIS SDK: High performance 3D visualization SDK and GIS software — Jerome St-LouisAn introduction and demonstration of the capabilities of the GNOSIS SDK ( ecere.ca/gnosis ), high performance 3D geospatial visualization software built atop our open-source Ecere Software Development Kit ( ecere.org ). The GNOSIS SDK offers a cross-platform object-oriented API for visualizing geospatial raster imagery, vector data and elevation models in both 3D and cartographic projections. It also features GNOSIS Cartographer, a GIS software allowing to import, visualize, edit, tile, optimize, style and analyze geospatial data. Vector shapefiles, GeoTIFF imagery and ASCII Grid heightmaps are readily supported, while a plug-in system allows to extend support and functionality through additional programming. Through tiling and resampling all supported types of data (raster, vector and elevation) at multiple scales, GNOSIS can handle large planetary scale data sets (up to 1 mm resolution) with consistent performance. Elevation data models, including high resolution point clouds, can drive the terrain rendering system which performs dynamic mesh optimization based on elevation variation. All types of map data can also be draped on top of the terrain, and styles can be modified in real-time. Styling can be applied with cascading style sheets based on the values of associated data records. GNOSIS also supports geo-referencing and rendering 3D models. GNOSIS also provides a map client / server architecture through its own highly efficient protocol, while it will also support serving and accessing data through widely used protocols such as WFS and WMS. Although the GNOSIS SDK itself is currently not open-source, we hope to be in a position to release it under an open-source license in the future and possibly apply for it to become an OSGeo software project.https://video.osgeo.org/videos/embed/e120796f-05fc-4edc-85a7-3cbab5208284https://video.osgeo.org/w/cjoi7hRKFDMg8uf98YzWYuhttps://video.osgeo.org/lazy-static/thumbnails/b8bf50a0-276d-4a09-8d17-282302edd295.jpg3D OpenSource software Stack — Olivier COURTINThis presentations showcases the latest advances on building a full 3D Open Source GIS software stack. Some important cities have recently released their 3D models of textured buildings as Open Data : Bordeaux and Lyon in France, Geelong in Australia or Berlin in Germany among others. Meanwhile, new hardware and sensors for 3D data capture and interaction. We want to be able to store, analyze and visualize both 2D and 3D data with same Open Source tools. Among the processing we want to use 3D intersection, 3D Union, triangulation and a lot of other spatial analysis functions we already use in 2D. Other types of 3D data also need to be stored and processed like 3D Point clouds from Lidar data, or DEMs. With 3D data, an absolute must-have is a nice, fast and smooth rendering of features, and their associated textures. Visualization is a key element of a complete vertical software stack of 3D data management. This presentation will demonstrate the ability to setup and take advantage of a full FOSS4G 3D stack. This stack features various components, just like a 2D GIS stack. PostgreSQL and PostGIS now feature 3D data storage and processing GIS servers can now stream the data with Web Services Desktop applications allows 3D visualization ( QGIS and Horao plugin) WebGL application let the user configure a native browser 3D visualization These components improve over time, allowing more capabilities, be it for the analysis part in the database, or the visualisation part in the browser.https://video.osgeo.org/videos/embed/5ba5a723-801b-4a27-b132-ef77b7756f6chttps://video.osgeo.org/w/uqX7v1ip1Ku9ngZR3LoJ9chttps://video.osgeo.org/lazy-static/thumbnails/d5e2932b-ea6e-4430-99c4-719d762d11a7.jpgJsonix: Talking to OGC Web Services in JSON — Alexey ValikovCan you talk to OGC Web Services in JSON instead of XML? You can - with Jsonix, a powerful JavaScript tool for XML JSON conversion. JSON has probably already replaced XML as a "lingua franca". JSON is much lighter and easier to use than XML, especially in JavaScript-based web apps. In the context of GIS, web mapping is dominated by JavaScript libraries like OpenLayers and Leaflet, which speak JSON natively. But what about the standards? Open Geospatial Consortium defines more than 50 specifications with more than 100 individual versions. Technically almost all of them are XML-based and defined by XML schemas. These are de jure and de facto standards, widely used and well supported. So you still need XML processing in JS web mapping apps. Processing XML is no rocket science, but it's seldom a pleasure to implement. The OL3 KML parser is about 2.5KLoc of dense XML parsing. Even a very simple WMS GetCapabilities format is almost 1 KLOC. From this code around 90% is pure XML parsing and only 10% is the processing of the payload. Would not it be nice if we could talk to the OGC Web Services directly in JSON? So that the developers could focus on the 10%, the payload processing, and cut off the 90% (XML handling) of the effort. Jsonix is an open source library for XML JS conversion which makes it just possible. With Jsonix you can take an XML Schema and generate XMLJS mappings. These mappings allow you to parse XML in the original schema and get your data in pretty JSON. It also works in the opposite direction: you can serialize JSON in XML, which would correspond to the original XML Schema. What makes Jsonix unique is that it is type and structure-safe. On the JSON side, you will get types and structures exactly as they are defined in the original XML Schema. For instance, xs:decimal is converted into a number in number in JSON, repeatable elements are represented by arrays etc. You just need the corresponding mapping. You can generate Jsonix mappings on your own or u...https://video.osgeo.org/videos/embed/e63bb26d-466a-4fc9-bd4d-55b11d11fcf3https://video.osgeo.org/w/2PbPncjPqJjq47Cxxe5Qxehttps://video.osgeo.org/lazy-static/thumbnails/b3360b02-8970-45ab-9b39-0dc3469fa561.jpgBuilding an OpenLayers 3 map viewer with React — Pirmin KalbererFacebook's React is a rising star in the crowded JavaScript ecosystem. It is not a Model-View-Controller framework, it is actually the V in MVC. Encapsulated components promise more code reuse, easy testing and separation of concerns. This talk introduces React and shows the architecture of an OpenLayers 3 based map viewer using React components.https://video.osgeo.org/videos/embed/0eafc308-3f0b-4fc8-918f-b53263220e63https://video.osgeo.org/w/8Gcgr5iqbWyu46XC7pZo2whttps://video.osgeo.org/lazy-static/thumbnails/5232103f-c7a6-4eaa-8738-f2ed8724f602.jpgHow Simplicity Will Save GIS — Vladimir AgafonkinIt’s 2015 — we have consumer robots and electric cars, private spacecraft, planet colonization projects, and the Higgs Boson is confirmed, but GIS software is still a mess. You might be able to make sense of it all if you’re a GIS specialist with an academic background, but other creative individuals — designers, developers, tinkerers of all kinds, each with a vision and desire to create meaningful and beautiful maps and visualisations — are constantly losing battles against bloat, clutter, and complexity. How do we reverse this GIS entropy? What does it take to turn complex technology into something that anyone can use and contribute to? An attempt to answer by the creator of Leaflet, a simple JS library that changed the world of online maps forever.https://video.osgeo.org/videos/embed/3e4caa15-2175-4abf-8262-f9b2d38d4808https://video.osgeo.org/w/uWVWSZKQa34NVsDoAmAQ3shttps://video.osgeo.org/lazy-static/thumbnails/f29b8b13-37bd-43b2-8c63-8c90c4963f27.jpgBuilding OpenLayers Applications with QGIS — Victor Olaya, Benjamin Trigona-HaranyOpenLayers 3 is a powerful mapping library that can be used to create interactive mapping applications. Although it has a simple, intuitive and well-documented API, it requires knowledge of JavaScript to use, and no tools exist to leverage its functionality for more general GIS users. This presentation introduces an open-source QGIS plugin that creates web applications based on OL3, without the need of writing code manually. Elements of the web app are defined using a simple GUI, and QGIS GUI elements are used as well to define its characteristics (for instance, for defining the styling of layers or the extent of the view). The plugin can create different types of web apps, from simple maps used to browse data layers, to rich ones with GIS-like functionality, as well as others such as narrative maps. Apart from being an interface for writing OL3 code in a graphical way, it automates data deployment, and can import data into a PostGIS database or upload layers to a GeoServer instance. Altogether, these capabilities, along with QGIS data management functionality, allow to create a web app from QGIS in a very short time, as well as modifying or improving it later.https://video.osgeo.org/videos/embed/ea6b4aa5-2c06-4874-a2df-268d37260f1ehttps://video.osgeo.org/w/smA7zC8Q42YqxAnDycmkWfhttps://video.osgeo.org/lazy-static/thumbnails/d999a679-407a-4e54-846b-1033a3ddbb1d.jpgPostGIS Feature Frenzy — Paul RamseyWhat can you do with this PostGIS thing? This talk covers some basic and not­so­basic ways to use PostGIS/PostgreSQL to process spatial data, to build infrastructures, and to do crazy things with data. PostGIS has over 300 functions, which in turn can be used with the many features of the underlying PostgreSQL database. This talk covers some basic and not­so­basic ways to use PostGIS/PostgreSQL to process spatial data, to build infrastructures, and to do crazy things with data. Consider the possibilities: raster, topology, linear referencing, history tracking, web services, overlays, unions, joins, constraints, replication, json, xml, and more!https://video.osgeo.org/videos/embed/d56d80f3-8955-42ec-aec2-2d84522ff086https://video.osgeo.org/w/8z1G5obQbVcWTAtUS2VtGohttps://video.osgeo.org/lazy-static/thumbnails/fee15704-4bd7-4de6-9b46-5c2a7e304a0d.jpgTemporal Maps leading to new views in Spatial Analysis — Andy Eschbacher, Aurelia MoserCloud-based mapping technologies are changing the way that the world interacts with GIS. Technologies that allow for aggregate querying of data that is both geospatial and temporal presents unique challenges and fruitful lines of inquiry. At CartoDB, we are pushing ahead with new ways of looking at spatio-temporal data visualization--which we have named Torque--, with intriguing results for both scientists and journalists. In this session, we will present use cases that offer unique ways of looking at data. We will also present challenges that lie ahead with our unique technology. My background in mathematical physics studying timeseries analysis has led to interesting insights and crossovers with the developers/hackers that originated the underlying technology. I hope to present the many lessons we've learned from Torque.https://video.osgeo.org/videos/embed/3d4bf0db-6824-4204-8fd7-1a928074ad0ahttps://video.osgeo.org/w/cyEfRXcauwdqUGzvbBN38fhttps://video.osgeo.org/lazy-static/thumbnails/3ac28354-29fd-4713-b10e-35c9906b6ee8.jpgVisualizing geographical data made extremely easy by SLD Editor! — Hanna VisuriThe ability to define the styling of geospatial data is vital to make it the most informative and suitable for different needs. SLD Editor is a Node.js based web application for editing SLD-files easily and visually. The user can import SLD files, style the different elements visually, save different versions of original SLD files and load the new SLD files to be used further. SLD Editor enables also watching the style against the corresponding WMS. All the code is Open Source and available on GitHub! SLD Editor is a web application independent from other applications and developed in National Land Survey of Finland. First version was released in last February and has already raised a lot of interest among European organizations utilizing spatial data. Possibilities of utilizing SLD Editor are wide: use as it is, integrate into your application, develop further to make your own catch-all SLD editor… Get to know the SLD Editor now and find your way to make use of it!https://video.osgeo.org/videos/embed/5da3e6f2-86f1-4236-aa89-0c65891a704chttps://video.osgeo.org/w/9gy6YqvWrrcxzMcS57G1Kphttps://video.osgeo.org/lazy-static/thumbnails/6ba05015-2124-4cfa-9d87-2e0808825fc0.jpgState of GeoServer — Jody Garnett, Andrea AimeState of GeoServer reviewing the new and noteworthy features introduced in the past year. The project has an aggressive six month release cycle with GeoServer 2.7 and 2.8 being released this year. These releases bring together exciting new features. A lot of work has been done on processing services with clustering, security and processing control. The rendering engine continues to improve with the addition of color blending opening up a range of creative possibilities. The CSS extension (used to easily generate OGC standard styles) has been cleaned up with a rewrite. This talk will highlighted updates on data import, application schema use, data transforms and the latest from the developer list. Attend this talk for a cheerful update on what is happening with this popular OSGeo project. Whether you are an expert user, a developer, or simply curious what these projects can do for you, this talk is for you.https://video.osgeo.org/videos/embed/42f50ccc-669c-471f-aea9-2e569e339bf5https://video.osgeo.org/w/ki8H2LErBWuitok8gKyjUyhttps://video.osgeo.org/lazy-static/thumbnails/e50f8487-c2b0-4634-b1dd-9b8ae00afbbc.jpgUN-LH Keynote speech 2: Geospatial information for the UN Secretariat and Peace Operations — Gui...Power your marketing strategy with perfectly branded videos to drive better ROI.https://video.osgeo.org/videos/embed/9c42074b-a1f4-4b40-95b1-b24248e59ec0https://video.osgeo.org/w/oi6JnDd9ybnGZCE4kg8Cj1https://video.osgeo.org/lazy-static/thumbnails/b8951e2d-c7ca-46c6-bb53-15d86064538e.jpgOpen Source and Open Data for Smart Cities in Developing Countries: African Perspective — Serena ...Open Source and Open Data for Smart Cities in Developing Countries: African Perspectivehttps://video.osgeo.org/videos/embed/b48c39e8-39ff-461d-88cc-8072205ceacchttps://video.osgeo.org/w/ivLHTqpqh4W7vViXw171cEhttps://video.osgeo.org/lazy-static/thumbnails/112168aa-41f1-4eea-bf92-bf3601677478.jpgFuture direction for using FOSS4G — Jacqueline Rivera, El Salvador, University of SeoulFuture direction for using FOSS4G: Case of Managing Early warning Systems for Monitoring Natural Hazards in El Salvadorhttps://video.osgeo.org/videos/embed/8dd37cd1-a358-4db2-b970-d3ac1bddd194https://video.osgeo.org/w/c8YBe2tQRZt3YTboguR67phttps://video.osgeo.org/lazy-static/thumbnails/394ee89a-80c7-4bf7-83a5-5a58cb5bb70f.jpgMaking cities and human settlement, UN SDG 11 — JUNYOUNG CHOI,Hyunsoo Kim, Jaesung Ahn, Jungik KimMaking cities and human settlement, UN SDG 11: Saving Rapid Urbanizing Cities using the FOSS4G Based Spatial Analysis for Urban Development Dr. Junyoung Choi (Korea Land and Housing Corporation), Hyunsoo Kim, Jaesung Ahn, Jungik Kim Early stages of urban developments such as housing construction, new town development and urban regeneration are performed through the spatial analysis using the topographic map, cadastral map, zoning map and other various kind of thematic maps for the proposed site analysis, feasibility analysis and evaluation of urban development alternatives. For these analyses, urban developers traditionally have used commercial software like ArcGIS to analyze these kinds of projects. And giant Korean public urban developer like Korea land and Housing Corporation (LH) has support these projects based on the in-house enterprise GIS system. But developing countries facing rapid urbanization near the peripheral areas of metropolitan region cannot handle such problems only using the commercial software. They need knowledge and experience about the urban development rather than complicated software based analysis techniques or large investments on the enterprise GIS system. In this sense, FOSS4G (Free Open Source Software for Geospatial) are very useful tools in that they are easy to learn, use and also relatively cheap to maintain. LH has accumulated a lot of urban development cases and wants to store this knowledge to FOSS4G based spatial analysis as a rule base. By doing so, it can manage the fast growing cities sustainable. In this presentation, we will show some conceived urban development project faced by the rapid urbanizing cities and suggest FOSS4G based spatial analysis method using the FOSS4G like QGIS plug-in.https://video.osgeo.org/videos/embed/5a319dfd-93aa-47a3-82c9-6cf9e3a91c6fhttps://video.osgeo.org/w/chjkSkcBxVuEP8vLUPsYgdhttps://video.osgeo.org/lazy-static/thumbnails/81cfd6f2-c447-4b37-b140-87800be315f9.jpgGeoPackage and how open source is changing the way governments think about standards — Nathan Fra...Government is a great sector in which to use geospatial technology to solve problems at scale. This geospatial technology typically has varying degrees of quality and cost as you would expect in any market. Combine the two with the fact that the ecosystem of systems, large and small, is very diverse, creating varying challenges. With this in mind, governments are now realizing how their decisions impact their future capabilities. In this talk, we will discuss GeoPackage, an OGC encoding standard and the challenges it was created to solve. We were encountering a problem with how data was being created, disseminated, and used. With the rise of mobile computing devices raster images in various native formats were being disseminated to a wider audience to use and visualize information. These raster images were typically enormous and uncompressed in some cases and compressed but painfully slow in other cases. Computing resource availability varied across computing environments. Some end users were converting these large raster images to more friendly or optimized formats to do their daily jobs. This leads to massive data reprocessing efforts across many different areas, all of which are mostly avoidable if the source would simply produce relevant, fast-performing data in a format that satisfies the broadest audience. Many vendors have tried to solve this problem with their own custom or proprietary solutions. Full stack vendor solutions come with hefty price tags in the form of licenses, support contracts, or sometimes both. These solutions can and often do solve the immediate problem however they have side effects that reach far beyond the immediate. Vendor-specific technology islands therefore appear, beholden to a certain proprietary implementation simply because it would be too expensive or too involved to do otherwise. Proprietary data created for one system did not necessarily work in another system. Tools needed to be created, re-created, or modified to handle ...https://video.osgeo.org/videos/embed/5b5bbac5-88eb-4314-b29a-800dd7624e52https://video.osgeo.org/w/dy8Arr8jWZva4bosaSNzqQhttps://video.osgeo.org/lazy-static/thumbnails/6182fc20-8a97-4224-b688-3f9261f0d2f2.jpgZOO-Project 1.5.0: News about the Open WPS Platform — Gérald Fenoy, Nicolas Bozon, Venkatesh Ragh...ZOO-Project is an Open Source Implementation of the OGC Web Processing Service (WPS) available under a MIT/X-11 style license and currently in incubation at OSGeo. ZOO-Project provides a WPS compliant developer-friendly framework to easily create and chain WPS Web services.This talk give a brief overview of the platform and summarize new capabilities and enhancement available in the 1.5.0 release. A brief introduction to WPS and a summary of the Open Source project history with its direct link with FOSS4G will be presented. An overview of the ZOO-Project will then serve to introduce new functionalities and concepts available in the 1.5.0 release and highlight their interests for applications developers and users. Evolutions and enhancements of the ZOO-Project WPS server (ZOO-Kernel) will first be detailed especially regarding compliancy (WPS 1.0.0 and 2.0), performance and scalability. The ZOO-Project optional support for Orfeo Toolbox and SAGA GIS will then be introduced, with details on the numerous new WPS Services (ZOO-Services) they provide. Use and connexion with other reliable open source libraries such as GDAL, GEOS, MapServer, GRASS GIS, CGAL will also be reviewed. Examples of concrete applications will finally be shown in order to illustrate how ZOO-Project components (ZOO-Kernel, ZOO-Services, ZOO-API and ZOO-Client) can be used together as a platform to build standard compliant advanced geospatial applications. Along with the new 1.5 release, this talk will also present how ZOO-Project is being developed, extended and maintained in the context of the EU funded PublicaMundi research project.https://video.osgeo.org/videos/embed/65aa24f6-6e6a-4516-b24d-fb2469cb37b4https://video.osgeo.org/w/tU3Li96dWxnnGwxaVZCwtLhttps://video.osgeo.org/lazy-static/thumbnails/a43ef9d9-d309-48e5-a1ad-7779d6578989.jpgISA Server - An Indoor Spatial Data Server — Ki-Joune Li, Taehoon Kim, Joonseok KimIn order to implement indoor spatial information services, we need an indoor spatial data server. However due to the differences of indoor space from outdoor, most conventional geospatial data servers are not adequate for indoor spatial data. First the position in indoor space can be specified by the identifier of cell containing the position rather than (x,y,z) coordinates. Second, indoor space is considered as a set of non-overlapping indoor cells unlike outdoor space. Third, the indoor distance metrics must be differently defined from Euclidian space considering obstacles such as walls, doors, and stairs. We developed a spatial data server called ISA (Indoor Spatial Awareness) server to meet the requirements of indoor spatial data and have been working for converting it to an open source using GeoTools. With the ISA server, we can store and manage indoor spatial objects, whether stationary or mobiles, and retrieve objects with indoor spatial predicates. We expect that this server will be used as a common data server for indoor spatial information applications.https://video.osgeo.org/videos/embed/e1eb1f80-dc0d-4ea7-aa96-010e5e663892https://video.osgeo.org/w/fkpeqyhMmkJHnDUompJBxuhttps://video.osgeo.org/lazy-static/thumbnails/bf852162-6e3f-4a4c-b39d-06d7bb9f0f13.jpgMaking Sense of Sensor Data with Maps — Aurelia Moser, Andy EschbacherGrowth in affordable hardware for sensor data collection is inspiring distributed data mapping globally. From wearables to arduinos, non-profits and NGOs are leveraging small sensor kits as windows into environmental and ecological health, and mapping sensor data meshes increasingly informs how we appreciate the topography of our world. Still, the parsing and processing of these data in meaningful ways remains a non-trivial challenge for most organizations. At CartoDB, we're working on ways to make this more intuitive, and improve access to geo-referenced sensor data for all. This session will tackle a few sensor data case studies powered by a FOSS stack in the domains of: * water quality/availability * agricultural security * ecological sustainability * animal migration And we'll discuss: * sensor data types, kits, and hardware components * data transformation, cleaning and parsing * mapping data dynamically and statically for public sharing We'll explore some of the challenges to mapping and graphing sensor data via a few case studies in the non-profit field and a few tools (CartoDB, Ushahidi) in the open source space.https://video.osgeo.org/videos/embed/741563c6-caa8-4bfb-aa93-82be6f19910ehttps://video.osgeo.org/w/vH8wXp9uaGp7yHs1RAf1yBhttps://video.osgeo.org/lazy-static/thumbnails/11a38b02-a95e-4f74-a914-ab66e6714d63.jpgCitizen science and Smart cities, the evolution of GIS — María Arias de Reyna, Jeroen TichelerSo far the SDIs are portals where a group of authoritative experts publish data of public interest. However, with the advent of smartphones and the multiplication of sensors in our environment, there is a demand to publish collaborative data on these platforms. Is it possible to combine both systems? Will these collaborative data be useful? How can we ensure that the data have enough quality? So many questions to answer within a research project from the European Commision: Cobweb. Cobweb tries to build a solution for smart cities and citizen science (also smart rural). Focused on the usecase of research around Biosphere Reserves and endangered species, we are combining different technologies to ensure not only that arbitrary data can be easily collected on the field but also that there is a conflation and quality assurance process where data is classified and prepared for later use. Security and privacy of personal details are also part of the project.https://video.osgeo.org/videos/embed/f0972894-f99e-4fe5-9928-ad902c91df53https://video.osgeo.org/w/fgPvN2mMWfSbR4q1TBvPachttps://video.osgeo.org/lazy-static/thumbnails/9c83638d-3c54-4e2e-b8eb-f385bb336eab.jpgTurning Data into Information with Geo-Ontologies — Justin Lewis, Nathan McEachenDESCRIPTION: Organizations of all sizes face issues harmonizing data between disparate sources in a way that is both efficient and useful for analysis and visualization. Geo-Ontologies offer an approach to data management that enables flexibility for interacting with data in a generic context even if the data is lacking geometries or contains problematic text errors. RunwaySDK is an open source ontology engine which empowers robust web visualizations to serve the analytical needs of organizations both large and small. Built on open source tools and driven by real world needs, GeoDashboard (also Open Source) exposes the flexibility gained from RunwaySDK by empowering users with robust features for managing and visualizing their data from a web-browser. This talk will focus on how GeoDashboard’s use of Geo-Ontologies enables dynamic mapping of almost any dataset in meaningful ways to fight disease and sanitation issues in developing countries. ABSTRACT: Ontologies in software development are a way to apply human like inferences to data, such as a bee is an insect. Geo-Ontologies focus on the geographic relationships of ontologies, such as Seoul is within Korea. Ontologies offer a valuable approach to data management because it allows for building a complex network of structured relationships. These well defined relationships can also be used to analyze and map data regardless of whether the data points include geometries. Using this approach to software development coupled with an open source business model has enabled TerraFrame to develop the mature ontology based data engine RunwaySDK and the powerful map based visualization layer GeoDashboard. RunwaySDK has been used in conjunction with an application tier to fight vector borne disease in multiple countries. GeoDashboard is a newer open source application built with PostGIS, GeoServer, Leaflet.js, and RunwaySDK which enables users to gain control over both data management and visualization all from a web-brows...https://video.osgeo.org/videos/embed/7395610f-12b4-48d8-9a0e-cd4844986b49https://video.osgeo.org/w/kssTVN1fpGuXTPPVo975Ekhttps://video.osgeo.org/lazy-static/thumbnails/6bbfed4c-852f-49f9-a9d3-71fa5fcec979.jpgUsing Spark in Weather Applications — Tom Kunicki, Charles Maalouf"Many important weather related questions require looking at weather models (NWP) and the distribution of model parameters derived by ensembles of models. The size of these datasets have restricted their use to event analysis. The ECMWF ensemble has 51 members. Using all these members for statistical analysis over a long period of time requires very expensive computational resources and a large amount of processing time. While event analysis using these ensembles is invaluable, detailed quantitative analysis is essential for assessing the physical uncertainty in weather models. Even more important is to potentially detect different weather regimes and other interesting phenomena buried in the distribution of NWP parameters that could not be discovered using a deterministic (control) model. Existing tools, even distributed computing tools, scale very poorly to handle this type of statistical analysis and exploration - making it impossible to analyze all members of the ensemble over large periods of time. The goal of this research project is to develop a scaleable framework based on the Apache Spark project and its resilient dataset structures proposed for parallel, distributed, real time weather ensemble analysis. This distributed framework performs parsing and reading GRIB files from disk, cleaning and pre-processing model data, and training statistical models on each ensemble enabling exploration and uncertainty assessment of current weather conditions for many different applications. Depending on the success of this project, I will also try to tie in Spark’s streaming functionality to stream data as they become ready from source, eliminating a lot of code that manages live streams of (near) real-time data."https://video.osgeo.org/videos/embed/9d8f8c20-f7ea-4b78-8803-7db80a37302fhttps://video.osgeo.org/w/ra6ENNKh8S1FVgVtQfBwBUhttps://video.osgeo.org/lazy-static/thumbnails/59c41b95-1d48-4eb3-a301-8ab668eb7e5b.jpgAn image browser for the Planet — Alessandro Isaacs, Tim Schaub, Jared VolpeScenes Explorer is one of Planet Labs' end-user web applications, which allows clients to select imagery of interest from our vast and ever-growing satellite image library. Each one of Planet's images, referred to as a "scene", is searchable and downloadable in different product formats using Scenes Explorer. It was developed using Planet's public APIs, OpenLayers 3, and the React framework. We have leveraged these technologies to create an application that allows users to browse Planet's huge data library and identify imagery of interest, all while maintaining the quasi-native level performance that is expected of modern web applications. To achieve this we had to devise strategies that allow us to present, but more importantly multi-dimensionally filter large amounts of geographic data in real-time. The presentation will start by describing Planet's public APIs and how they can be integrated into a web-based mapping application. This will be followed by a deeper dive into the challenges of representing and dynamically filtering millions of image footprints in the browser and the tools, strategies, and UX we have developed to overcome them.https://video.osgeo.org/videos/embed/cbb9a774-f2a1-4243-9c0f-a4bdec0f4cf2https://video.osgeo.org/w/q6Tz8ngv71CAXCm4FHrJ3Chttps://video.osgeo.org/lazy-static/thumbnails/1574645c-5f2a-4295-a1bb-708ec694bb8c.jpgMapping the world beyond 3857 — Andrea AimeMost popular mapping presentations today, ranging from clients to servers, show and discuss only maps in EPSG:3857, the popular Mercator derived projection used by OSM as well as most commercial tiles providers. There is however an interesting, exciting world of map projections out there, that are still being used in a variety of context. This presentation will introduce the advancement made in GeoTools and GeoServer to handle those use cases, where users have a worldwide data set, and need to view all or part of it in multiple projections, some of which valid in a limited area, and requiring the software to perform a proper display of it on the fly, without any preparation. We’ll discuss GeoTools/GeoServer “advanced projection handling” manages to deal with these cases, wrapping data, dealing with the poles and the dateline, cutting on the fly excess data, densifying on the fly long lines as needed to ensure a smooth reprojection, for a variety of cases, ranging from seemingly innocuous datum shifts, maps having the prime meridian over the pacific, and the various tricks to properly handle stereographic, transverse mercator, Lambert conic and other limited area projections against world wide source data sets.https://video.osgeo.org/videos/embed/c32dd41b-6cc1-4e05-a9ed-8fe7d87b0018https://video.osgeo.org/w/x5CVcPfNYuQSwGWgc584Ffhttps://video.osgeo.org/lazy-static/thumbnails/1c3e2238-3995-4ffe-8803-d92040b7c3fd.jpgLive monitoring of ski tracks in Norway — Kjartan BjørsetThis presentation is a complete walk-through of a system for live monitoring of ski tracks, built with open-source components. If ski track monitoring sounds odd to you, it is in principle the same as live monitoring a sweeping truck, snow-plough or any other road maintenance vehicle. The background for the system’s existence is a small, Norwegian town’s obsession with finding out where and when ski tracks were last prepared for them. A few man-hours, combined with the power of open source, has made it possible to create an affordable and efficient live tracking system. In this presentation, every aspect of the solution will be explained in full detail: The GPS tracking unit, the server and database components, and finally the web application that visualizes the data. Despite not being a revolutionary system, the concepts and experience drawn from this project can be useful to other developers who are starting off with open-source and geomatics. However, it may also be interesting to more weathered developers who would like to see a different approach to the problem of spatiotemporal data modelling with PostGIS. The open-source components that the presentation will touch on are the following: • Traccar - GPS trakcing server • PostgreSQL + PostGIS • Arduino • Apache2 + PHP + libpqhttps://video.osgeo.org/videos/embed/fbb1064e-a269-4f44-9ecf-b22579747a48https://video.osgeo.org/w/iE3sGAb2FRynee7PzYzXzihttps://video.osgeo.org/lazy-static/thumbnails/4030974f-4208-4c89-85e6-7ea07b980378.jpgCatalog on the fly satellite images — Luiz MottaThe monitoring of tropical forests requires large amount of satellite images, some being free, as the case of Landsat and CBERS series, and other, better spatial resolution, these being paid. We currently have in IBAMA, approximately 49,000 scenes of RapidEye, corresponding to three annual coverages of the entire territory of Brazil, and added to growing acquisition of Landsat 8 images, provides the environmental analyst a condition never taken previously to monitor Brazil's natural resources. On the one hand we have a large number of images to improve the quality of analysis, on the other hand, the use of all images of a given location becomes impossible to add each image manually in desktop GIS. This paper will show the methodology and the implementation of the catalog on the fly, allowing the environmental analyst, have automatically, all cataloged satellite images of a particular area. The work consists of: 1) provide the minimalistic form of satellite images, ie, with minimal computational resources, mainly the demands of settings on the server, and 2) get in the QGIS automatically images of areas interest. Scripts were made in Python and Shell / Linux to generate the satellite images in the format TMS (Tile Map Server) and the definition files to GDAL_WMS (GDAL Web Map Services). The scripts were made using libraries and GDAL programs, and are available on Github (github.com/lmotta/scripts-for-gis). For each satellite scene, we have the structure of TMS format directories and files and corresponding XML file with the definition of GDAL_WMS driver. The scenes are processed in parallel through the parallel utility (gnu.org/software/parallel/), so the processing time, the server is limited processing capability. The entire set of scripts and tools, makes the process minimalistic therefore have the responsability for each division step, not a burden to maintenance, compared to the development of a processing framework. The scenes were cataloged in a vector laye...https://video.osgeo.org/videos/embed/8efb2300-0795-4ed7-a683-f38847b2664fhttps://video.osgeo.org/w/mFUrGK3gpKW8pBhtQX5k7shttps://video.osgeo.org/lazy-static/thumbnails/597ecc9b-3c99-457c-a9e5-02c287955aba.jpgDigitalGlobe and Open Source — Kevin BullockAdding some important and pertinent information to this abstract with respect to the recent tragic events in Nepal. DigitalGlobe, in responding to the devastating earthquake in Nepal, has openly licensed both pre-event and post-event imagery, as well as openly licensed the results of our Tomnod campaign, which has crowdsourced information from nearly 50,000 volunteer contributors to assess damage and displaced people in Nepal. DigitalGlobe is working with first responders, aid relief and NGOs including Kathmandu Living Labs, Humanitarian OpenStreetMap Team, the UN, IFRC and American Red Cross. We are providing important information to disperse relief to the growing number of displaced people. The work we have done has been featured by CNN, CCTV, Mashable, the Atlantic and many more. Please reference links below. This is a poignant example of how Geospatial data, provided in the open can benefit millions of people who need help. cnn.com/videos/business/2015/05/01/wbt-intv-lake-bullock-nepal-digitalglobe.cnn youtube.com/watch?v=kjfbJW7xMjs&feature=youtu.be theatlantic.com/technology/archive/2015/05/the-mapmakers-helping-nepal/392228/ citylab.com/tech/2015/04/how-amateur-mappers-are-helping-recovery-efforts-in-nepal/391703/ mashable.com/2015/05/06/landslide-nepal-photos-before-after/#:eyJzIjoidCIsImkiOiJfdTVjdzgyb2M5aGRnMnZ1bCJ9 Original abstract: DigitalGlobe operates a constellation of high resolution, high accuracy satellites. Imagery from DigitalGlobe can be seen in Mapbox Satellite, CartoDB, Google Maps, HERE Maps, Bing Maps, Apple Maps and is often used for the purposes of contributing, editing and validating for OpenStreetMap. Over the years, DigitalGlobe has provided both imagery and software processing tools with an Open Source license. This includes post-event imagery for Typhoon Haiyan in the Philippines and the Japanese Tsunami. Recently, we open sourced a software toolkit called "Mr Geo" defensesystems.com/articles/2015/01/14/nga-open-sources-geos...https://video.osgeo.org/videos/embed/a7891976-a507-48d6-8bf7-5332387285f2https://video.osgeo.org/w/swEhnZdmpeJDQ4z3qX5LWXhttps://video.osgeo.org/lazy-static/thumbnails/4f839ab3-4670-43ea-aabe-babbdb942e5a.jpgDon’t Copy Data! Instead, Share it at Web-Scale — Mark KorverSince its start in 2006, Amazon Web Services has grown to over 40 different services. Amazon Simple Storage Service (S3), our object store, and one of our first services, is now home to trillions of objects and core to many enterprise applications. S3 is used to store many kinds of data, including geo, genomic, and video data and facilitates parallel access to big data. Netflix considers S3 the “source of truth” for all its data warehousing. The goal of this presentation is to illustrate best practice for open or shared geo-data in the cloud. To do so, it showcases a simple map tiling architecture, running on top of data stored in S3 and uses CloudFront (CDN), Elastic Beanstalk (Application Management), and EC2 (Compute) in combination with FOSS4G tools. The demo uses the USDA’s NAIP dataset (48TB), plus other higher resolution city data, to show how you can build global mapping services without pre-rendering tiles. Because the GeoTIFFs are stored in a requester-pays S3 bucket, anyone with an AWS account has immediate access to the source GeoTIFFs at the infrastructure level, allowing for parallel access by other systems and if necessary, bulk export. However, I will show that the cloud, because it supports both highly available and flexible compute, makes it unnecessary to move data, pointing to a new paradigm, made possible by cloud computing, where one set of GeoTIFFs can act as an authoritative source for any number of users.https://video.osgeo.org/videos/embed/d6d582b8-5ce0-4633-ac1c-c0fafa7feab3https://video.osgeo.org/w/bMAxR9QH1c94Tkj8nfFgt1https://video.osgeo.org/lazy-static/thumbnails/593af079-8e8a-49a5-894b-f84bb22934dc.jpgArctic Web Map and PolarMap.js — Steve Liang, James BadgerArctic Web Map (AWM) is an Arctic-specific web mapping tool allowing researchers and developers to customize map projections for scientifically accurate visualization and analysis, a function that is critical for arctic research but not easy to do with existing web mapping platforms. It provides a visually appealing tool for education and outreach to a wider audience. Arctic Web Map has two components: An Arctic-focused tile server offering mapping tiles, and a Leaflet-based client library. By providing tiles in multiple Arctic projections, data can be more accurately visualized compared to most Mercator projected map tiles. The open source client library, PolarMap.js, is designed to be easy to use and easy to extend. It does this by providing a simple wrapper for building a typical Leaflet map, and also by providing base classes that can be customized to build a web map for your specific situation. This presentation will present and demonstrate the AWM and PolarMap.js and some real-world applications will also be discussed and demonstrated.https://video.osgeo.org/videos/embed/575925db-d4b3-4e1b-b276-c79ed18f2a12https://video.osgeo.org/w/nAwMEnmqoXVsVqzqpJJmW2https://video.osgeo.org/lazy-static/thumbnails/56c388ad-1433-4c23-b4bb-8a4b09468e84.jpgOpen Source GIS-based Geomorphohydrological Watershed Model and it's Application to Flash Flood P...Open Source GIS-based Geomorphohydrological Watershed Model and it's Application to Flash Flood Prediction in Ungaged Basins—Hong-Tea Kim In several decades, understanding and predicting the flood discharge at mountain and ungaged region have been of great concern to the hydrologists an water resources engineers n real fields. Even f Several methodologies and approaches relating geomorphological aspects of those basins have been developed and applied to solve that questions, it is still in the stage of progress in this field due to its difficulties obtaining appropriate geomorphological information and systemizing the geomorphological approaches to traditional approaches. Moreover, the flash flood prediction and warning system at the ungaged regions have been interested in the hydrological fields recently because of its high frequent occurrence and serious damage features caused by climate change ans land use practice over the world. The flash flood problems have been known as one of challengeable topics, otherwise the related researches may not be satisfied until now. In this study, we developed two model system which can consider both the flood hydrograph analysis based on geomorpho-hydrological theory called Open Source GIS-based Geomorpho-hydrological Watershed Modeling System(OSG²WMS) and can be applicable to the flash flood warning scheme called Flash Flood Prediction model in Ungaged Basins(F²PUB). In addition to adapting GCUH process in G²WMS, we developed the modified geomorpho-hydrological unit hydrograph method called Korea-GCUH(K-GCUH) which contained the watershed and river characteristics of own Korean mountain regions and can be applied simply with basic river characteristics without complex geophysical analysis by Open Source GIS.https://video.osgeo.org/videos/embed/aee22c61-d0ce-48b9-af46-edcc68895e1dhttps://video.osgeo.org/w/cJNRKFZtcbKjjYwW7fu1juhttps://video.osgeo.org/lazy-static/thumbnails/74bfac93-ce18-4c43-9647-1f5ac4ca01f2.jpgOcean data Interpolation using Open Source GIS — Junghwan Yun, Hojung Jeon, Yunsu LeeUsing the data of the Republic of Korea Marine waters around introduce a data visualization method through interpolation.https://video.osgeo.org/videos/embed/5f0ea408-7a55-460f-a9af-34c99225f1b0https://video.osgeo.org/w/3SzZNGaDD5dzD5inZLEgvghttps://video.osgeo.org/lazy-static/thumbnails/260668c9-685b-4bb5-b1c0-084d9c874955.jpgAn open source GIS application for scientific national park management ‬— Byeong-Hyeok Yu, Impyeo...This presentation introduces application cases of open source GIS for scientific national park management in Korea. Korea National Park Service (KNPS) is a public organization that manages almost all domestic national parks. GIS is a core technology for the park management, but the cost of commercial software had been limited the diffusion of GIS. Now, park rangers of KNPS are using QGIS that is a representative open source geospatial software, and they make themselves various GIS and remote sensing-based maps. For this, KNPS launched a QGIS education program for employee training. As a result, they started making maps using QGIS and many useful plugins, including Animove for QGIS, Semi-Automatic Classification Plugin (SCP), and Oceancolor Data Downloader. A variety of natural resources maps can be made from GPS field data, and time-series satellite images can be processed into climate change effect maps such as forest health, sea surface temperature (SST). Moreover, a graphical modeler feature of QGIS enables an automatic data processing. The Drone Flight Simulator called Park Air System, is also being developed using open source geospatial libraries. Using QGIS, KNPS makes all geospatial data like a trail, facility, and natural resources and is opening to the public freely. KNPS won the President’s Prize in 2014 for the hard work.https://video.osgeo.org/videos/embed/17426ac0-0d0d-4f01-8407-7f61c3b75ccdhttps://video.osgeo.org/w/5yxifae1ppZHZRt5D2Fvdxhttps://video.osgeo.org/lazy-static/thumbnails/b774f953-deb5-4cd7-b76c-1fa32f853558.jpgSpatial Tajo : Supporting Spatial Queries on Apache Tajo — Hyungu ChoApache Tajo is a robust big data relational and distributed data warehouse system for Apache Hadoop. Tajo is top level project in Apache Software Foundation, it will be next generated data warehouse system. Tajo supports SQL standard queries, it can't perform queries about spatial objects unfortunately. So I will announce production experience Spatial Tajo extended plug-in for Tajo. The plan of Spatial Tajo is spatial plug-in supporting basic spatial queries, spatial join and spatial indexes, but current progress of this can still perform simple spatial relational functions and a few spatial joins. Spatial indexes will realize.https://video.osgeo.org/videos/embed/24efa497-5352-4d4c-a734-56e1fb0614b3https://video.osgeo.org/w/37sFS8CErRUo5YMBaFcmkqhttps://video.osgeo.org/lazy-static/thumbnails/487464d8-9bcc-4a88-8917-49b95a6b4e52.jpgBig data analysis with Tile Reduce and Turf.js — Tom Lee, Alex BarthTile Reduce is a new open source map reduce frame work for analyzing massive geo data. Tile reduce is a tile analysis framework built on the javascript GIS library Turf.js. It runs on your local computer or in the AWS cloud and scales to run thousands of processors in parallel. At Mapbox we use Tile Reduce to detect issues in global street vector data like OpenStreetMap, data comparison and data conflation. This talk will walk through the architecture of Tile Reduce, highlight advantages, limitations and future developments.https://video.osgeo.org/videos/embed/11192fc3-e60c-4818-8324-5470bd50c63ehttps://video.osgeo.org/w/1UZEEfBXHVApN5jSEeRGfxhttps://video.osgeo.org/lazy-static/thumbnails/1f52f284-2d29-45fc-952f-46d7b1fa7346.jpgTechnical introduction to Oskari - A Modular web mapping application framework! — Hanna Visuri, S...Developing a web mapping application? Why to reinvent the wheel while there is a framework that offers all the web mapping functionalities adaptable for your needs! Oskari is a modular map application framework for easily building varied web mapping applications. Applications can be composed by selecting functionalities from existing components, and custom extensions can be created and attached to applications easily. The existing components range from basics like layer selection and location search to more advanced functionalities like thematic maps and analysis. This presentation enables you to package your code to be part of Oskari, speed up your development by using ready-made tools and easily add server-side functionality to the existing implementation. Techstack includes Javascript, OpenLayers 2/3, Java, Geotools, Geoserver, PostgreSQL with PostGIS. Oskari is used in a wide range of different national and international web mapping services and it is continuously developed to better serve the changing requirements both by adding functionalities and perfecting the existing ones. Come and join the fast-growing group of Oskari Developers!https://video.osgeo.org/videos/embed/076636dd-065e-4762-ba7e-b03119dbd3a3https://video.osgeo.org/w/28G7D1CHbaP3hewaKtAgD7https://video.osgeo.org/lazy-static/thumbnails/56c47b35-f791-4c0f-9f1b-1517c8ba9ede.jpgHigh-precision open lidar data enable new possibilities for spatial analysis in the canton of Zur...The department of geoinformation of the canton of Zurich/Switzerland has carried out a high-resolution laser scanning (LIDAR) last year over the entire canton of Zurich. The extensive data (8 pts / m2) have now been evaluated, and a digital surface (DSM) and terrain model (DTM) created (dot grid of 50 cm and horizonal and vertical accuracies of 20 cm, resp. 10 cm. This is the first time high-resolution elevation data is widely available for the entire canton of Zurich. In the past, lidar data have been collected only for small-scale projects. As a novelty, the department has decided to provide the lidar data and its derived products, i.e. DTM and DSM, as open data to the public. With this decision new standards are set not only in terms of accuracy and scope, but also in the usage as open government data. The lidar data can provide valuable support for example in the areas of infrastructure, urban planning, regional planning, natural hazard assessment, forestry, environment, energy, line survey, solar potential analysis, surveying, archeology, agriculture, water or noise. Due to the planned repetition cycle of four years even time series and monitoring projects are possible. Therefore it is not surprising, that since the opening as open data, many interesting applications using this data have been created. The presentation will show the high-resolution data and its possible usage for terrain-visualizations. A selection of the most appealing visualizations will be demonstrated, e.g. an Oculus Rift version enabling the user to navigate through virtual reality. It will further give an insight in the challenge of opening up the LIDAR–data for the public, i.e. setting up an open-data strategy in the cantonal administration of Zurich.https://video.osgeo.org/videos/embed/092c1103-6a77-4cdd-8839-8fb5c91719a4https://video.osgeo.org/w/vv764HP66rACtpJLGB3wEshttps://video.osgeo.org/lazy-static/thumbnails/9c2fe174-4ec9-44c6-a9b4-4a8a65efd66a.jpgGeoServer for Spatio-temporal Data Handling With Examples For MetOc And Remote Sensing—Andrea Aim...GeoServer for Spatio-temporal Data Handling With Examples For MetOc And Remote Sensing — Andrea Aime, Simone Giannecchini, Daniele Romagnoli This presentation will provide detailed information on how to ingest and configure SpatioTemporal in GeoServer to be served using OGC services, with examples from WMS and WCS services. Topics covered are as follows: * Discussion over existing data formats and how to preprocess them for best serving with GeoServer * Configuring SpatioTemporal raster and vector data in GeoServer * Serving SpatioTemporal raster and vector data with OGC Services Tips and techniques to optimize performance and allow maximum exploitation of the available data The attendees will be provided with the basic knowledge needed to preprocess and ingest the most common spatiotemporal data from the MetOc and Remote Sensing field for serving via GeoServer.https://video.osgeo.org/videos/embed/eee95787-6340-429d-9a54-37703112426ehttps://video.osgeo.org/w/aJNVxiheGWtSkFj8uxT6XChttps://video.osgeo.org/lazy-static/thumbnails/e0d86052-652c-4510-9c47-0d7536cd6d3e.jpgSatellite Snow Cover Products Evaluation and Validation Platform Developed Entirely With Floss So...The monitoring of snow cover extent is important for the management of natural resource, extreme events prediction such as snowmelt floods, avalanches etc. The current status is that the network of weather stations is too sparse in regions with seasonal snow cover to provide reliable snow monitoring and impact applications. Remote sensing can regularly provide maps of snow cover extent, under limitations imposed by satellite cycles or cloud cover. A number of daily or synthesis snow cover extent products, covering Romania, with different resolutions and specifications, are available for free (e.g. GLOBSNOW, CryoLand, H-SAF, IMS). These products were homogenized and included, along with reference and in-situ data, into an application that make possible for user to inspect, process, analyze and validate the information, using a web based interface. The platform, created by National Meteorological Administration of Romania offers services based on Open Geospatial Consortium standards for data retrieval (WMS, WCS, WFS) and server-side processing (WPS, WCPS). The services were built upon open source solutions such as GeoServer, OpenLayers, GeoExt, PostgreSQL, GDAL, rasdaman. The application is composed of several software modules/services. The modules are split into two categories: server-side modules/services and client side modules - responsible for interaction with the user. A typical usage scenario assumes the following steps: 1. The user is operating the client functionality to select a temporal and spatial slice from a product cube (e.g. 5 months archive of daily CryoLand FSC data); 2. The users select a statistic method to be applied; 3. The request is sent to the server side processing applications wrapped as WPS or WCPS calls; 4. The process will trim/slice the coverage cube, perform the statistic operation for the pixels within the ROI for each day in the selected time interval; 5. The results are sent back encoded in a standard file format; 6. The web clie...https://video.osgeo.org/videos/embed/4edc6756-a46b-49d6-ad12-c16ad6877476https://video.osgeo.org/w/go942EpXpiLiXjFNsFgW8Fhttps://video.osgeo.org/lazy-static/thumbnails/dc0211dd-2771-4bf0-9ebd-cef8d06fc336.jpgA simple way to create a web infographic map: For public data and private data — Hanjin LeeCreate a infographic maps and can be shared on the web, we will introduce the Pinogio. Just a few clicks complex analysis function through Pinogio, it is possible to make a web map of high quality. Pinogio consists of a Geotools, GeoServer, OL3, including open source-based architecture. Do not store anymore geospatial data in local storage, create a beautiful maps from public cloud environment.https://video.osgeo.org/videos/embed/7c9067ba-e731-4849-8df9-ecfad30f145dhttps://video.osgeo.org/w/bLUMgFeRpFV3fH1zNft74Khttps://video.osgeo.org/lazy-static/thumbnails/1a88db2f-7c57-4d70-972b-4dca1b0a9f30.jpgAutomatic Improvement of Point-of-Interest Tags For Openstreetmap Data — Sabine Storandt, Stefan ...Geo-search engines and location-based services allow to query for points-of-interest (POIs) in a certain region or next to the current user location. Hereby, search queries often ask for classes ('hotels New York', 'supermarket Berlin', 'Italian restaurant London') rather than single points ('Hotel Belvedere New York'). In OpenStreetMap (OSM), one can specify the basic class along with every POI e.g. via the amenity tag (amenity=fast_food), via direct tags (shop=supermarket) or several other specialized tags, as the cuisine tag for restaurants. These tags are mandatory for a certain POI to show up among the search results for a class-based query. Moreover they are useful to categorize search results, e.g. searching for 'Venice beach' should inform the user that there are beaches, hotels, fitness studios and clothing stores with that name. Unfortunately in OSM, there are plenty of POIs where the class is not provided. But many of those POIs exhibit a name tag ('Sunset Hotel', 'Wal Mart') which already contains some information about the respective class. In this paper, we investigate methods for automatic extrapolation of class, amenity and specialized tags solely based on POI names. For example, 'Pizzaria Bella Italia' most certainly indicates an Italian restaurant while 'Tapas Bar' indicates Spanish food. We use machine learning tools to extract for many amenities typical words and phrases that occur in associated name tags and learn respective POI classifiers. For example, learning indicators for 'shop=hairdresser' on German OSM tags led to high scores for 'fris', 'cut', hair' and 'haar'. While 'studio' and 'design' also appeared in many name tags, they are not suitable to distiguish between 'shop=hairdresser' and 'shop=beauty' with the latter including nail spas. For other kinds of POIs as supermarkets or gas stations, names of large chains ('ALDI', 'Aral') showed up as typical indicators. We empirically prove that with the help of our learned classifiers, ...https://video.osgeo.org/videos/embed/5740a3be-f27e-43d1-8e4e-f1ae20864ec9https://video.osgeo.org/w/onXjgShs9Ci5LokhbZF8NNhttps://video.osgeo.org/lazy-static/thumbnails/9a08b0e2-7fcb-4ede-8d9b-518f3a5c285c.jpgGenerating Geospatial Footprints For Geoparsed Text From Crowdsourced Platial Data—Ahmad O. Aburi...Generating Geospatial Footprints For Geoparsed Text From Crowdsourced Platial Data — Ahmad O. Aburizaiza (George Mason University), Matthew T. Rice, Michael F. Goodchild The importance of place-based or platial-based research in the geosciences has been highlighted in recent publications by researchers Goodchild, Elwood, and Sui. They suggest that deep and direct location information is more frequently associated with place and placenames. The traditional spatial context in geosciences is geometry-based, But the human brain links the orientation and association of real-world objects or features by place names rather than by coordinates. Explaining a location of an incident in textual format typically requires prepositions to emphasize the proximity of relevant features. Additionally, global mapping systems do not convey the real naming of real-world features on a local level. This raises the importance of creating local gazetteers containing various names of each feature entry including buildings, landmarks, and road names. In addition, a place might contain smaller places within its boundaries. In the platial perspective, gazetteers and hierarchies of places can be compared to GIS databases and layers in the spatial approach, respectively. This general approach allows for the connection between human-centered place-based referencing, and metric georeferencing systems used in GIS and mapping. In this research, we are instantiating a reference library of geo-parsed footprints based on place names and prepositions in text-based crowdsourced data. A localized gazetteer of place names in George Mason University - main campus, Fairfax VA, USA was created as the functional center of the system. The geo-parsed footprints are bounded differently based on place name types and whether or they are preceded with a preposition. The prepositions are being classified in accordance to their relative distances. Currently there are more than ten footprint definitions based on the ...https://video.osgeo.org/videos/embed/b539c241-3785-4a8a-87ed-63b3102af4fehttps://video.osgeo.org/w/oFXKCAF6Kq7u3wu4LwgCGthttps://video.osgeo.org/lazy-static/thumbnails/353383c9-6b2c-45e0-8fe0-168716bccf40.jpgPerformance Analysis of MongoDB Vs. PostGIS/PostGreSQL Databases For Line Intersection and Point ...Performance Analysis of MongoDB Vs. PostGIS/PostGreSQL Databases For Line Intersection and Point Containment Spatial Queries. — Sarthak Agrwal (IIIT Hyderabad), Ks Rajan Relational databases have been around for a long time and Spatial databases have exploited this feature for close to two decades. The recent past has seen the development of NoSQL on- relational databases, which are now being adopted for spatial object storage and handling too. And this is gaining ground in the context of increased shift towards GeoSpatial Web Services on both the Web and mobile platforms especially in the user­centric services, where there is a need to improve the query response time. While SQL databases face scalability and agility challenges and fail to take the advantage of the cheap memory and processing power available these days, NoSQL databases can handle the rise in the data storage and frequency at which it is accessed and processed ­ which are essential features needed in geospatial scenarios, which do not deal with a fixed schema(geometry) and fixed data size. This paper attempts to evaluate the performance of an existing NoSQL database 'MongoDB' with its inbuilt spatial functions with that of an SQL database with spatial extension 'PostGIS' for two primitive spatial problems ­ LineIntersection and Point Containment problem, across a range of datasets, with varying features counts. For LineIntersection function, the dataset consisted of two independent layers of horizontal lines and vertical lines with incremental lengths and their size varied from ten lines to ten thousand lines in each layer and another dataset with two layers, one of random lines of variable size and shape and another layer of a single line which is intersecting many lines of layer1. For Point Containment problem, the dataset consists of two layers, one of polygons in a space of different shape and size and another layer of random points in the space, some inside the polygons and some outside. All ...https://video.osgeo.org/videos/embed/b7bd6a85-8596-46d0-910d-098777d7f4b3https://video.osgeo.org/w/nRHvcwFUkg6MdMaXdaXWoXhttps://video.osgeo.org/lazy-static/thumbnails/a17c05f7-451c-464f-aa94-5f02153fc7ee.jpgGeographical Weighted Regression Model For Improved Near-shore Water Depth Estimation From Multis...Geographical Weighted Regression Model For Improved Near-shore Water Depth Estimation From Multispectral Imagery — Poliyapram Vinayaraj, Venkatesh Raghavan, Shinji Masumoto There is often a need for making a high-resolution or a complete bathymetric map based on sparse point measurements of water depth. The common practice of previous studies has been to calibrate a single global depth regression model for an entire image. The performance of conventional global models is limited when the bottom type and water quality vary spatially within the scene .For a more accurate and robust water-depth mapping , this study proposes a regression model for a geographical region or local area rather than using a global regression model. The global regression model and Geographical Weighted Regression (GWR) model are applied to Landsat 8 and RapidEye satellite images. The entire data analysis workflow was carried out using GRASS GIS Version 7.0.0. Comparison of results indicates that the GWR model improves the depth estimation significantly, irrespective of the spatial resolution of the data processed. GWR is also seen to be effective in addressing the problem introduced by heterogeneity of the bottom type and provide better bathymetric estimates in near coastal waters. The study was carried out at Pureto Rico, northeastern Caribbean sea. Two different satellite data were collected in order to test the algorithm with high and moderate resolution data. RapidEye data has 12-bit radiometric resolution and 5 meter spatial resolution. Even though Landsat 8 data also has 12-bit radiometric resolution, it provides 30 m spatial resolution. In order to calibrate and evaluate the estimated depth, high accuracy LiDAR depth data (4 m resolution) provided by NOAA is used. The study was demonstrating GWR model to estimate depth, evaluate and compare the results with a global conventional regression model. The comparative study between conventional global model and GWR model shows that GWR mo...https://video.osgeo.org/videos/embed/b100ef19-ad75-4884-b879-77aa11c249b3https://video.osgeo.org/w/mcSfcnS9p2bfTRrUPLyQychttps://video.osgeo.org/lazy-static/thumbnails/e5da0543-d3fe-44fb-91d9-2c344919afc0.jpgThe Integration of Heterogeneous Open Source Software to Develop a Dynamic Urban Growth Simulatio...Recent development of open source geospatial software offers new opportunities for the spatial analysis and urban modeling fields. The use of open source software enables analysts and modelers to build dedicated and advanced models through computer programing. However, many open source geospatial software usually provides building blocks for the static data management, analysis, and visualization. Hence, development of dynamic simulation model with open source geospatial software is not yet fully fledged. The goals of this study are twofold. Firstly, it aims to develop a dynamic urban growth simulation model by using and integrating heterogeneous open source software such as R and Processing. Secondly, by doing so, it aims to develop a new way to use binominal logistic regression analysis as a method for dynamic urban growth simulation. The research uses R and Processing to develop an urban growth simulation model. The former is a well-known open source statistical software, and the latter is an open source software for data visualisation. The integration of two open source software and the model development are carried out in Java programming environment. The reason of such integration is to build a dynamic urban growth simulation from a conventional binominal logistic regression analysis. Binominal logistic regression is well-known method to calculate a certain choice probability, and it has often been used to analyse the possibility of future urban development. However, the result from such logistic regression by nature is stochastic and static. To make it as a key method for urban growth simulation, what this research has done is the integration of following tasks: execution of logistic regression, extraction of coefficients from the result, calculation of development probability, allocation of new development, and visulaisation of such urban development. The model was applied to a case study area, Busan Metropolitan Area, Korea in order to examine its usabil...https://video.osgeo.org/videos/embed/a39eeb4a-683c-4ea5-9954-071b155cdcabhttps://video.osgeo.org/w/uETYu9U2WCQeMfbwkj5rsVhttps://video.osgeo.org/lazy-static/thumbnails/eea98f21-8b1b-404b-99e5-c6db92e1ad8f.jpgDynamic Styling For Thematic Mapping — Simon Moncrieff, Elizabeth-Kate GullandCurrent web standards have facilitated the online production and publication of thematic maps as a useful aid to interpretation of spatial data and decision making. Patterns within the raw data can be highlighted with careful styling choices, which can be defined for online maps using tools such as Styled Layer Descriptor (SLD) XML schema. Dynamic generation of maps and map styles extends their use beyond static publication and into exploration of data which may require multiple styles and visualisations for the same set of data. This paper explores the application of thematic styling options to online data, including mapping services such as Open Geospatial Consortium (OGC)-compliant Web Mapping and Web Feature Services. In order to be relevant for both user-specified and automated styling, a prototype online service was developed to explore the generation of styling schema when given data records plus the required output data type and styling parameters. Style choices were applied on-the-fly and to inform the styling characteristics of non-spatial visualisations. A stand-alone web service to produce styling definitions requires a mechanism, such as a RESTful interface, to specify its own capabilities, accept style parameters, and produce schema. The experiments in this paper are an investigation into the requirements and possibilities for such a system. Styles were applied using point and polygon feature data as well as spatially-contextual records (for example, data that includes postal codes or suburb names but no geographical feature definitions). Functionality was demonstrated by accessing it from an online geovisualisation and analysis system. This exploration was carried out as a proof of concept for generation of a map styling web service that could be used to implement automated or manual design choices.https://video.osgeo.org/videos/embed/e82e2d00-4173-404e-8874-b01c3600d5bdhttps://video.osgeo.org/w/wfdq5FxdTqAL3FZHDtNS2Jhttps://video.osgeo.org/lazy-static/thumbnails/e5dacfb9-55ca-4502-9dee-f32fa2108f24.jpgObject-Based Building Boundary Extraction From Lidar Data — Samsung Lim, You ShaoUrban areas are of increasing importance in most of the countries since they have been changing rapidly over time. Buildings are the main objects of these areas, and building boundaries are one of the key factors for urban mapping and city modelling. Accurate building extraction using lidar data has been a prevalent topic that many research efforts have been contributed to. However, the complexity of building shapes and irregularity of lidar point distribution make the task difficult to achieve. Although there are plenty of algorithms trying to solve the difficulties, it is not feasible for a single method to fit for all. Each can perform well under a certain situation and requirement only. In this paper, several building boundary extraction algorithms including an alpha-shape algorithm, a grid-based algorithm, and a concave hull algorithm are assessed. The strengths and limitations of each algorithm are identified and addressed. The point cloud used in this research is derived from the airborne lidar data acquired over the main campus of the University of New South Wales (UNSW) Australia in 2005. Typically, the boundary extraction algorithms are applied to the clusters of building points when lidar data is segmented and classified. Many approaches have been attempted to improve the extraction algorithms. The simplest way to extract a rough boundary is using the convex hull method which has been implemented by several researchers including Qihong et al. [1]. However, this algorithm only fits for buildings with regular convex shapes. In order to overcome the limitation of this method many researchers have modified and improved the algorithm and obtained more reliable boundaries [2, 3]. Another prevalent and recent method is using an alpha-shape algorithm based on two-dimensional Delaunay Triangulation [4, 5]. This method works for both concave and convex shapes, and even for some complicated shapes. Another approximation-based algorithm was introduced by Zhou and ...https://video.osgeo.org/videos/embed/f4ee3945-00ed-4c2a-a282-58e45fb9772chttps://video.osgeo.org/w/2CJNa4nJyTj9x1Bia9Gw6rhttps://video.osgeo.org/lazy-static/thumbnails/7665d647-bba1-42f5-8517-edd6d32f0dfb.jpgDevelopment of Data Archiving and Distribution System For the Philippines' LiDAR Program Using Ob...Development of Data Archiving and Distribution System For the Philippines' LiDAR Program Using Object Storage Systems — Ken Abryl Eleazar Salanio, Carlo Santos, Ruby Magturo, Gene Paul Quevedo, Kenan Virtucio, Kenneth Langga, Mark Edwin Tupas, Enrico Paringit The Philippines' Department of Science and Technology in collaboration with Higher Education Institutions (HEIs), lead by the University of the Philippines, has embarked on a program for producing hazard maps on most major river systems in the Philippines. Realising the utility of LiDAR and its derived datasets, a concurrent program on resource assessment was also initiated. These endeavors aims to produce essential products such as DEMs, Orthophotos and LAS data that can be used for different purposes such as urban planning, resource planning, and other purposes these geospatial data might be able to provide. The result of both programs are large amounts of data that needs to be distributed and archived at a fast rate. As with other LiDAR operations handling large swaths of spatial data is not an option, hence data sets are organized in contiguous blocks, subdivided by files and grouped by river systems and local government units. Existing spatial content management systems and geoportal solutions were designed and have capabilities for handling rasters and vectors but not for point-cloud data distribution. This study discusses the development of a simple and straightforward system for storing and delivering LiDAR and LiDAR-derived data using Ceph as object storage system coupled with a spatial content management system derived from GeoNode. This approach hinges on our requirements of being scalable yet robust without much deviations from the current file system based storage structure. While most operations like data acquisition, preprocessing and quality checking are done centrally, the system aims to address our programs' needs for data exchange between spatially distributed to autonomous partner HEIs ...https://video.osgeo.org/videos/embed/0d3a49c9-350c-4ea8-ad26-7ca4928fac93https://video.osgeo.org/w/3WMNbZZA7jb5Vb8JvmgMTYhttps://video.osgeo.org/lazy-static/thumbnails/23c211b3-7d05-4ec4-bd45-d5c740ae50b5.jpgUsability Engineering For Successful Open Citizen Science — Jan Alexander Wirwahn, Thomas BartoschekCitizen science can be explained as the engagement by nonprofessional scientists in collecting data, analyzing data, developing technologies and the publication of these on a voluntary basis. In a majority of citizen science projects the data to be collected is geospatial and is being presented on maps. If the data is about environmental observations, this approach is often referred to as participatory sensing. A novel approach in this field is to equip citizens with DIY-environmental sensor stations and to establish citizen driven sensor networks. This approach leads to better data coverage but also contains motivational aspects, as citizens build up their own devices. Most existing DIY sensor stations are not fully open in terms of source code, data collection, hardware, educational documents or extensibility for other platforms. That’s why they lack transparency for the user, e.g. for scientists, who are interested in the data or citizens who want to understand the algorithms. The SenseBox project started at the Institute for Geoinformatics, University of Münster, and is an ongoing open citizen science project. Based on open hardware components (Arduino microcontrollers and compatible sensors) citizens build their own Internet of Things enabled sensor stations to collect environmental data (temperature, humidity, air pressure, loudness, VIS-light, UV-light). The data is being published as open data and visualized on a web based platform, the OpenSenseMap (OSeM). An educational edition of the SenseBox and didactical material are being introduced into high schools, where students learn to code, measure environmental phenomena and work scientifically. The whole source code is open source, instructions are being published as open educational resources (OER) and models for a 3D-printed waterproof case are available as open source as well. In a first project phase, around 50 SenseBox stations were deployed to citizens and schools in Germany. Some participants had ...https://video.osgeo.org/videos/embed/17d8a9f6-8495-47ef-9e72-139afe0317d2https://video.osgeo.org/w/7LmRcjkMt57zi2cHYCjdW3https://video.osgeo.org/lazy-static/thumbnails/7a2978ea-a1e4-45d4-89ef-164761c6da0d.jpgA Comparison of Image Aligning and Correcting Software with an Unmanned Aerial System — Kangsan L...In the past few decades, many kinds of UAS for image acquisition has been developing. But only high-cost commercial software could be used to image aligning and correcting. This problem caused cost-problem of UAS and complicated for many users. Nowadays, variety of software, not only commercial but also open-source, provides powerful image processing tool. There are so many software to support this processing, but only three popular programs are used to make a comparative study. The goal of this study is to compare the ease of use, overall accuracy and processing time of each software based on chunk of images from UAS.https://video.osgeo.org/videos/embed/36c867ef-4084-4066-9c68-03eba84c74behttps://video.osgeo.org/w/8xukiqHPoEG2aMEDDDhBL2https://video.osgeo.org/lazy-static/thumbnails/10c2579d-49f7-45f1-9772-a557e3e79f8b.jpgThe Development of Web 3D-based Open-pit Mine Monitoring System—Se-Yul Kim, Hyun-Jik LeeThe Development of Web 3D-based Open-pit Mine Monitoring System — Se-Yul Kim, Dong-Gook Lee, Jung-Bin Lee, Byung-Jin Jang, Ji-Ho You, Hyun-Jik Lee Large-scale open-pit mines are critical infrastructure for acquiring natural resources. However, this type of mine can experience environmental and safety problems during operations and thus requires continuous monitoring. In this study, a web three-dimensional (3D)-based monitoring system is constructed using open-source geospatial information software and targeting the open-pit mine in Gangwon-do, Korea. The purpose is to develop a monitoring system of open-pit mines that enables any person to monitor the topographic and environmental changes caused by mine operations and to develop and restore the area’s ecology. Open-pit mines were classified into active or inactive mines, and monitoring items and methodologies were established for each type of mine. Cesium, which is a WebGL-based open-source platform, was chosen as it supports dynamic data visualization and hardware-accelerated graphics related to elapsed time, which is the essential factor in the monitoring. The open-pit mine monitoring system was developed based on the geospatial database, which contains information required for mine monitoring as time elapses, and by developing the open-source-based system software. The geospatial information database for monitoring consists of digital imagery and terrain data and includes vector data and the restoration plan. The basic geospatial information used in the monitoring includes high resolution orthophoto imagery (GSD 0.5 m or above) for all areas of the mines. This is acquired by periodically using an airborne laser scanning system and a LiDAR DEM (grid size 1 m × 1 m). In addition, geospatial information data were acquired by using an UAV and terrestrial LiDAR for small-scale areas; these tools are frequently used for rapid and irregular data acquisition. The geospatial information acquired for the monitoring of t...https://video.osgeo.org/videos/embed/3d157cf9-3540-4681-baf3-83975b64ed15https://video.osgeo.org/w/d5sjvDTgVWDN8uh43MZLGphttps://video.osgeo.org/lazy-static/thumbnails/01a8952d-96ab-4c52-9a46-6d1cbbdce7b5.jpgKeynote Lecture 5: Where do we go from here? The next 10 years of open source geospatial — Paul R...Power your marketing strategy with perfectly branded videos to drive better ROI.https://video.osgeo.org/videos/embed/61ccdbd7-95e1-40db-ad84-ad44eb36e20fhttps://video.osgeo.org/w/vVE8nuEPBz3Aytd1iZt9AUhttps://video.osgeo.org/lazy-static/thumbnails/04d85167-fb06-4ecf-83c5-e6629d380e87.jpgKeynote Lecture 3: Open Data, Open Standards, and Open/Proprietary Technologies — Kuo-Yu slayer C...Power your marketing strategy with perfectly branded videos to drive better ROI.https://video.osgeo.org/videos/embed/f256f006-5c6e-47de-8dc9-c09041caec70https://video.osgeo.org/w/gJPRq4XRgP6h9ZNoi9jzenhttps://video.osgeo.org/lazy-static/thumbnails/691a9f90-eb63-4ef7-a467-09b91f180550.jpgKeynote Lecture 4: Building What Lasts: The Sustainability of Open Source for Tomorrow — Alyssa W...Power your marketing strategy with perfectly branded videos to drive better ROI.https://video.osgeo.org/videos/embed/7f73cedd-c952-4dbc-be43-00e930dbf11bhttps://video.osgeo.org/w/gUJTPxagjMNuQxHJBsg9oThttps://video.osgeo.org/lazy-static/thumbnails/15db081f-0ad9-473d-bd37-6eeb5b22f73d.jpgStuffing your vector tiles full of data — Robert P. V. NordanMapbox-style vector tiles are all the rage, but what if you want to put a lot more data into them than most people? Norway is a nice country with very detailed maps. When your roads are polygons, your fjords are award-winning in their complexity and individual flagpoles, drains and hedgerows have been added to the map, you have a bit higher data density than the average vector tile user. We wanted to see what would happen when you put all of that into a format that most people use for OpenStreetMap-style data. Join us for tales of zoom levels, bounding box woes, selective exports, tile size limits, generalisation choices and generation times that might just provide useful information for your future adventures with vector tiles!https://video.osgeo.org/videos/embed/80d630a1-5fd4-41e9-8d32-fc5593906327https://video.osgeo.org/w/39QmV3nENnVCv6M8PaqWERhttps://video.osgeo.org/lazy-static/thumbnails/514b527b-11a7-4517-b762-d30cc2fa4a93.jpgGeoServer on steroids —Setting up a GeoServer can sometimes be deceptively simple. However, going from proof of concept to production requires a number of steps to be taken in order to optimize the server in terms of availability, performance and scalability. The presentation will show how to get from a basic set up to a battle ready, rock solid installation by showing the ropes an advanced user already mastered. The topics that will be covered in details include: * Optimize vector and raster data for the deep multi-resolution displays typical of web GIS * Optimize styling to provide a good balance between map navigability and performance, identifying common performance pitfalls in the styling options * Setting up caching with GWC for the background layers, identify layers and situations that are not suitable for caching * Defend against peak hour load by setting service limits and using the control-flow extension * Using the monitoring extension to control the server in production and identify sources of trouble (long request, clients making too many/too heavy requests, layers and services used the most that could use more tuning attention) * Solutions for clustering GeoServer and GeoWebCache * Challenges in scaling beyond the few hundreds concurrent requests, and solutions to get there The presentation will end with real world examples of enterprise deployments of GeoServer implemented by the author as well as its colleagues at GeoSolutions during the years.https://video.osgeo.org/videos/embed/116e07df-96ec-4464-a643-25cb60fe9355https://video.osgeo.org/w/jLigKiukexYv2TbgU51oznhttps://video.osgeo.org/lazy-static/thumbnails/7828a768-d7e5-4f5d-bccc-e94347429947.jpgPoint Clouds in a Browser with WebGL — Daniel KastlPotree is an open source project that implements point cloud rendering capability in a browser. It is a WebGL based point cloud viewer for large datasets. Thanks to WebGL, it runs in all major browsers without plugins. This presentation will give an overview over the current state of point cloud rendering with WebGL, about the difficulties and challenges. Laser data is expected to play an increasing role in the next years with falling prices for previously very expensive hardware, the development of autonomous vehicles and the popularity of drones. Powerful hardware and WebGL will open up a wide range of innovative browser-based web services in the near future.https://video.osgeo.org/videos/embed/97f3dd9e-364d-43ee-b4d8-f0f4d4f65927https://video.osgeo.org/w/uCJbWTWEfEB7VVKS88SwDmhttps://video.osgeo.org/lazy-static/thumbnails/10541dda-68b9-4c63-999f-cab1741098f4.jpgPostgreSQL, batteries included — Olivier COURTINThis presentations presents some advanced features of PostgreSQL involving third party tools integrated directly into the database, and allowing for more features, especially for spatial data management. PostgreSQL is a very versatile RDBMS, and has a lot of core features. What is less known is that it can be used as a data platform, integrating external modules to further expand the capabilities of data management. First of all, some contrib PostgreSQL modules of interest are shown, useful for geocoding : pg_trgm allows for trigram indexing and search, allowing string comparison with a tolerance to typo errors fuzzystrmatch also allows fuzzy string comparison directly inside the database using soundex algorithms FTS, aka Full Text Search, is a powerful text indexing and search mechanism right inside PostgreSQL Then, we show the Foreign Data Wrapper tools, which allow access to and from remote data. oracle_fdw now supports Oracle Spatial and PostGIS natively, and let you exchange data in heterogeneous systems ogr_fdw is a foreign data wrapper dealing with OGR data sources : access all these vector data files directly from your spatial database Foreign Data Wrapper really makes PostgreSQL a data platform, enabling easy import and export of data, migration plan, and transparent heterogeneous data systems. Last, we present some advanced data processing capabilities using PostgreSQL development languages. Pl/R lets you leverage the power of the R statistics framework to do advanced analysis of your spatial data Pl/Py put all Python modules at your disposal, with unlimited power for data processing, communication and interaction with external systems All these tools, usually less known than PostgreSQL and PostGIS bulk features, further improve the data platform, with high connectivity and interoperability, and almost unlimited features in terms of data processing. PostgreSQL, PostGIS, and -free- batteries included !https://video.osgeo.org/videos/embed/e7e0a86e-15fd-4a9f-909e-8dbcd7c9444ehttps://video.osgeo.org/w/xuc53Zkhdd7BNWYLw2CNXDhttps://video.osgeo.org/lazy-static/thumbnails/80bca2dd-182f-4bcf-bdd6-c2a8c8e01ab6.jpgPDAL: the Pointcloud Data Abstraction Library — MICHAEL SMITHAn introduction to the PDAL pointcloud library, how to accomplish basic things, push data to plas,io, a webgl rendered and an introduction to GreyHound, the PDAL API. PDAL, GreyHound provide all the basic tools for pointcloud data translation and manipulation and hooks for various other projects to use the PDAL read/write engine (eg, PCL, Points2Grid)https://video.osgeo.org/videos/embed/fefaf230-f4ca-498c-98b5-242824e56983https://video.osgeo.org/w/xhAAEaPxrpbYeHqm9JkNbFhttps://video.osgeo.org/lazy-static/thumbnails/722d42d0-e5ef-4294-aed0-008b3a22ae4e.jpgNew QGIS functions for power users — Marco HugentoblerQGIS has seen a large amount of new functions and improvements during the last few years. And there is still more to come. This presentation shows the most recent changes and new functionalities in the codebase after version 2.8, both from a users and from a technical point of view: Curved geometries have long been a missed feature in FOSSGIS Desktop solutions, with such geometries usually ending up being segmented on import. A rewrite of the QGIS Geometry core now allows for native support of a number of curved geometry types, such as CircularString, CompoundCurve, CurvePolygon, etc., in addition to the traditionally supported Point, Line and Polygon geometries. As part of the redesign, proper support for M and Z coordinate values was also implemented for all supported types. Geometry errors can easily sneak into large datasets, either because of inexact data acquistion, but also due to gradual loss of precision when importing, exporting and converting the datasets to different formats. Manually detecting and fixing such issues can be very time consuming. To assist users confronted with such problems, the 'Geometry checker' has been developed. It provides the functionality to test a dataset for geometry and topology issues (such as duplicate nodes, overlaps, gaps, etc), presenting a list of detected faults. For each error type, the plugin offers one more more methods to automatically fix the issue. A third new function in the geometry domain is the snapper plugin. It allows to automatically align the boundaries of a layer to a background layer (e.g. align the parcel boundaries with a road background layer).https://video.osgeo.org/videos/embed/fd5c8531-08bd-420a-bab8-fba006b4b57bhttps://video.osgeo.org/w/rkXJG5V2ywjKFZbw2VPWnVhttps://video.osgeo.org/lazy-static/thumbnails/cfe457bc-851d-443c-a185-e8001a9899be.jpg"Migrating" from Google Earth API to Cesium — Hidenori WatanaveWe explain about the method of "Migrating" from Google Earth API to Cesium in this presentation. We have produced digital archives series including "Hiroshima Archive","Nagasaki Archive", "The East Japan Earthquake Archive" and so on using Google Earth API. e.nagasaki.mapping.jp/p/archives-series.html Since Google Earth API to be deprecated at the end of 2015, we had started "Migrating" from Google Earth API to Cesium. The Porting succeeded as a result of the trial and error. Our contents also run on smartphones and tablets as well as on PCs now. We explain know-how and merit / demerit of a shift to Cesium from Google Earth API in this presentation. For example, Basic function of Cesium, the implementation method, the difference between KML and CZML, Supported KML tags, and so on.https://video.osgeo.org/videos/embed/cd3df25a-7d56-4f17-b43c-29fd6cf55157https://video.osgeo.org/w/bdvar8JXhuB2TUhR5UxpPmhttps://video.osgeo.org/lazy-static/thumbnails/3727b484-6b71-416f-967a-9a9de2b7a12d.jpgOpenDroneMap, Next Steps: Toward optimization and better 3D modeling — Stephen MatherOpenDroneMap is an open source toolkit for processing drone imagery. From raw imagery input, it outputs a georeferenced pointcloud, mesh, and orthophoto. This is a powerful toolkit to change unreferenced arbitrary images into geographic data. Next steps in the project are needed to improve optimization of underlying algorithms, steps to better create meshes / textured meshes from the resultant pointclouds by explicitly modeling surfaces, and to make better output data from lower quality inputs. Come and see where the project is at, how the state of the art is advancing, and how you can use it and contribute.https://video.osgeo.org/videos/embed/52ba48b1-72ac-4a01-ba2f-86352b0219cehttps://video.osgeo.org/w/c4VCR2PDHdE1MNoh7A46nwhttps://video.osgeo.org/lazy-static/thumbnails/5dfd9abd-8bab-4fde-80c3-b88bc0f4fe67.jpgThe OpenStreetMap Revolution — Tom Lee, Alex BarthOpenStreetMap is at the center of a data and software revolution that has completely changed what we expect from maps and how we interact with them. The project has defined open map collaboration, it is a cradle of open software innovation, is used by businesses and governments, enables startups against industry giants and has opened the power of GIS to the underprivileged and poor. OpenStreetMap is only one of very few commercially viable global geospatial datasets. Ten years into the project, it is clear that OpenStreetMap is not an impossible quest nor a fluke of history, but it is here to stay and grow. An amazing and growing community, this year, OpenStreetMap crossed the two million users mark. Every month, 30,000 users log into the map and improve it. And OpenStreetMap stands to attract even more attention: Data of large proprietary vendors continues to be effectively not available to a huge part of the market due to rigid licensing; rumors around Nokia's HERE changing owners are at an all time high. This talk sweeps through OpenStreetMap's history and gives a detailed look at the state of the project in statistics and visualizations, including recent map developments in Asia. It reviews OpenStreetMap's strengths and weaknesses and makes predictions for the future of OpenStreetMap. We'll finish up with opportunities and needs for the project to grow as an open data community and a suite of open source software tools.https://video.osgeo.org/videos/embed/59a0cf7b-60dc-4560-a027-9cd12c29edechttps://video.osgeo.org/w/6RhByrMdr6gcKERwbnevfJhttps://video.osgeo.org/lazy-static/thumbnails/e5878ffe-9839-4f68-a1ad-b08fbfecb8c0.jpgLocalized Landmark model based on OSM data for Socialized Landmark based Navigation System—Pasind...Localized Landmark model based on OSM data for Socialized Landmark based Navigation System—Pasindu Chandrasekara, Thejaka Mahaulpatha, Nimalika Fernando The following document covers an abstracct on our research on Localized Landmark model based on OSM data for Socialized Landmark based Navigation System. It is a group project which is been carried out by 4 students and our supervisor. The other to members are listed below. Dananjaya Thathsara - Sri Lanka Institute of Information Technology Irendra Koswatte - Sri Lanka Institute of Information Technologyhttps://video.osgeo.org/videos/embed/2f5f604f-7151-4180-8598-fd47d433d502https://video.osgeo.org/w/pHKce3qs9QNdahS8CUsrGshttps://video.osgeo.org/lazy-static/thumbnails/e34e59ac-cafb-4123-9203-370b120f9726.jpgSapporo Childcare Map: Making the city “a little better” with FOSS4G — Mayumi KuboThe Sapporo Childcare Map developed by Code for Sapporo is an interactive map covering childcare facilities including daycare centers and kindergartens located in the city of Sapporo, Japan. The first version of the map was developed using OpenLayers 3 as the mapping library. The map allows users to search by operating hours, eligible ages, vacancies, and other parameters. The service helps parents to find childcare facilities based on various criteria. With the rising rate of double-income families, finding openings at public daycare centers in large cities is becoming more challenging. The childcare maps based on the Sapporo's system were also developed in other cities with support from Code for Japan.https://video.osgeo.org/videos/embed/c0164d7e-6124-4fc1-a059-9620c88f7e3ehttps://video.osgeo.org/w/vbSjjdqGCgMiCcyaoWFhyLhttps://video.osgeo.org/lazy-static/thumbnails/77c2ba4c-ca0a-4660-bac4-5bb30ca7fcba.jpgWebSAFE: Developing an Online Exposure and Risk Assessment Tool for the Philippines — Ivan Lester...WebSAFE (Web-based Scenario Assessment for Emergencies) is an impact assessment tool used in the Philippines to calculate the needs of a community considering the effects of a particular hazard. DOST-Project NOAH and The World Bank partnered in developing WebSAFE to increase the country's disaster preparedness measures. Using Project NOAH's LiDAR and IFSAR-based flood, landslide, and storm surge hazard maps for the whole country and OpenStreetMap information, WebSAFE aims to aid Local Government Units in their response toward disasters. A community of volunteer mappers for disaster risk reduction, called MapaSalba (a local pun that loosely translates to "to save using maps"), was also started last year to encourage local participation and enrich the OpenStreetMap database. All of these efforts were shown to contribute to the Philippines's generally improved disaster preparedness and over-all decline in human and economic losses from disasters for the past two years. WebSAFE uses InaSAFE API, a free and open source plugin for QGIS software. With the help of its developers, we modified and developed it into a web application. Project NOAH envisions a disaster-free Philippines where communities are empowered through open access to accurate, reliable and timely hazard and risk information.https://video.osgeo.org/videos/embed/ec5d778f-2718-4a1b-8ae8-2c87b0112a24https://video.osgeo.org/w/dGzZirugLDHxvT1zsWP7jvhttps://video.osgeo.org/lazy-static/thumbnails/0b725862-343c-4a4a-b6d5-30af1c25197c.jpgA Web-based Framework for Monitoring Spatial-temporal Clustering of Epidemics in Taiwan — Wei Ch...A Web-based Framework for Monitoring Spatial-temporal Clustering of Epidemics in Taiwan — Wei Chien Benny Chin, Tzai-Hung Wen, Fei-Ying Kuo, Hwa-Lung Yu, Ming-Che Hu The aim of the study is to propose a web-based early-warning framework for monitoring spatial-temporal clustering of epidemics in Taiwan. The framework integrated disease surveillance data from difference sources, including Real-time Outbreak and Disease Surveillance (RODS) database, and LABoratory Surveillance (LABS) databases. RODS database is reported directly from the hospital emergency department (ED), whereas LABS is reported with detail information of the specific pathogen after the laboratory diagnosis procedures from contract hospitals. RODS could provide real-time information of patients’ symptoms but it provides nothing about confirmed disease or pathogens of a patient. LABS, on the other hand, could identify the specific infectious pathogen, which is the cause of disease, but the report time could have time lags due to laboratory diagnosis procedures. By combining open source tools and space-time clustering detections methods, we developed an early-warning framework for depicting space-time dynamics of clusters and identifying possible epidemic outbreaks. The framework is a web-based platform with several modules:1. Data Explore: it includes data management, data processing and space-time data visualization; 2. Space-Time Analyst: it analyzes space-time relationships of cases and depicts space-time dynamics of clusters by developing ST-DBSCAN algorithm, and 3. Early-Warning Alert: it provides real-time alerts when detecting possible disease outbreaks. The platform is established in Python environment. We used several open source components, including web2py as the web-based framework (system core component) and Bokeh for data visualization. The system core component is the control centers for dealing with requests/responses, scheduled analysis procedures and database updates. We also buil...https://video.osgeo.org/videos/embed/66d85c4b-f18c-4f90-aa15-9aa4c7a4db41https://video.osgeo.org/w/258E7g5UBdPss8GV36Vy1Ghttps://video.osgeo.org/lazy-static/thumbnails/bd86cc32-e5c2-4ff8-9188-ca5e0c7c775b.jpgContinuous Improvement of the NOAH Initiative through the Use of Free and Open Source Software — ...Continuous Improvement of the NOAH Initiative through the Use of Free and Open Source Software — Ivan Lester Saddi, Jobyn Marmol, Eric Jay dela Peña As a means of mitigating risks in a hazard-prone archipelago, the Philippine government through the Department of Science and Technology launched the Nationwide Operational Assessment of Hazards (DOST Project NOAH) on July 2012. This program aims to integrate various research and technology development efforts in improving flood, landslide and storm surge hazard maps and in instituting effective early warning systems for these hazards. These initiatives produced various geospatial datasets relating to hydrometerological hazards such as satellite imageries, LiDAR maps, Doppler radars, localized weather forecasting models and a vast nationwide network of automated weather and water level sensors. With such wealth of datasets, these information are processed and visualized through a near real-time web-based spatial data infrastructure. The NOAH website (noah.dost.gov.ph) serves as a information and communication platform for government agencies, rescue and disaster-related organizations and the general public to effectively prepare for impending hazards. Designed to be a web geographic information system, the NOAH website now uses Geoserver and OpenLayers API to handle, process, analyze hazard maps, and exposure and vulnerability datasets. Since the launch of the portal, thousands of lives had been saved from the dangers during the annual monsoon events since 2012, Supertyphoon Bopha in 2013 and in typhoons Rammasun and Hagupit in 2014.https://video.osgeo.org/videos/embed/08acd522-498d-4272-805b-99a7397f35c0https://video.osgeo.org/w/tQaJB6ujuaXgmaZmYZakUxhttps://video.osgeo.org/lazy-static/thumbnails/6e4af71b-35cf-4f91-8ab0-2c37ddc2ecf7.jpgWho's On First - because sometimes geo is not spatial — Aaron CopePower your marketing strategy with perfectly branded videos to drive better ROI.https://video.osgeo.org/videos/embed/e16071a4-dc5b-46a5-ac09-f5e5e6defd0bhttps://video.osgeo.org/w/gPwujrCXSsGPjnC36EMhkShttps://video.osgeo.org/lazy-static/thumbnails/d5a4e13a-d781-4522-8929-46f3f5e15ac5.jpgNew opensource geospatial software stack from NextGIS — Maxim DubininNextGIS has been busy working on a new stack of geospatial software for the past few years and we're finally ready to present what we've accomplished. Our stack consists of 4 major components: web (NextGIS Web), mobile (NextGIS Mobile), desktop (NextGIS QGIS) and data management (NextGIS Manager). Three of those components are brand new, developed by NextGIS alone and were released just recently. For the fourth component, we participate in QGIS development since 2008 and use its codebase for our desktop component. The main focus of the stack is tight integration, ease of use and modularity. New stack features unique features, to name just the few: plugable renderers for NextGIS Web, multi-layer support for NextGIS Mobile, super-fast rendering and great formats support for NextGIS Manager and all-around integration with NextGIS QGIS. The presentation will provide an overview and will look at general architecture, use cases and plans for future development.https://video.osgeo.org/videos/embed/801bd37d-a2d6-45b3-bc94-2c69e1ed97c8https://video.osgeo.org/w/xAPWHg9he6hksCbmaMY63Fhttps://video.osgeo.org/lazy-static/thumbnails/11cd9959-2612-4bfa-80f6-4cc5f68f73f7.jpgDynamic dashboards with D3.js and CartoDB — John PowellThis presentation will show how it is possible to create a combined dashboard with geographical and non-geographical components by combining CartoDB's wizards, for the geographical part, and the SQL API and D3.js to add charts based on a particular region, but non-geographical in nature. CartoDB allows users to quickly produce and share powerful visualizations of geographical data by overlaying vector data sources on a choice of free, 3rd-party, XYZ tiles, using a number of wizards such as chloropleth, bubble, category and torque. Often, however, a user needs to visualize data that comes from a particular geographic region, but with a visualization that is non-geograhical in nature and would be hard to show on a map,but could be better understood with a bar, pie, line or some other chart. An example might be, the percentage of energy coming from different sources (solar, wind, coal, gas, nuclear) for a region or the changes in this composition over time. For this reason, we turn to D3.js. D3.js has become one of the leading tools for visualizations, as it is data-driven, and manipulates the DOM directly, and outputs SVG, which makes for very fast, scalable and beautiful visualizations. It also has support for numerous geographic projections, and supports some useful algorithms, for example Voronoi polygonization. While D3.js accepts input data in a variety of formats, one of the most flexible and common is JSON. Fortunately, this is also the default and preferred format returned by the CartoDB SQL API, which serves as the glue between the data held in CartoDB and the D3.js dashboard. It will be shown how with a CartoDB.js (Leaflet) click handler, and the SQL API, it is easy to return JSON for a particular area that can be dropped directly into a D3.js chart. It will also be shown how the D3.js nesting functions work that allows data to be aggregated (similar to a SQL group by) but in a way that is more amenable to use in D3.js and simpler than using row_to_json...https://video.osgeo.org/videos/embed/ffe821fb-c6cd-431f-baf8-c5027ac0137fhttps://video.osgeo.org/w/6WDoKDF385KpAsAPMzkxuPhttps://video.osgeo.org/lazy-static/thumbnails/4d85204f-d196-4b98-a824-79eeb244d84f.jpgOpenSenseMap - a Citizen Science Platform For Publishing and Exploring Sensor Data as Open Data—J...OpenSenseMap - a Citizen Science Platform For Publishing and Exploring Sensor Data as Open Data — Jan Alexander Wirwahn, Thomas Bartoschek, Matthias Pfeil A plethora of map-based citizen science sensor platforms for different use-cases already exist. They provide cheap, preconfigured, plug and playable hardware and software solutions. Using data from multiple platforms and resources can be a challenging task in respect of discovering, exploring, downloading and converting. In this paper we present a one-stop-shop for sensor data that tries to tackle these problems. Therefore a basic data schema capable of metadata is established that allows publishing generic sensor platforms and sensor data. For exploration the OpenSenseMap, a web platform is implemented based on common web standards. Citizen science is often called “public participation in scientific research” [1] and describes the engagement by non-professional scientists in collecting and analyzing data, decision making, developing technology and publication of these on a voluntary basis. The idea of involving citizen in scientific projects is not new. Two examples are the Christmas Bird Count [2] and the Galaxy Zoo project, which identifies and classifies galaxies on sky images taken at the Sloan Digital Sky Survey. An always discussed concern about citizen science is data quality [3]. Due to limited knowledge of the volunteers and missing or questionable metadata, scientists often characterise data collected by citizens as valueless. In the beginning citizen science was connected with activities where humans were used as sensors [4]. Nevertheless, the scientific community is becoming more and more interested in citizen science today and citizen science projects are part of complex research projects [5]; e.g. ambient environment monitoring. We think two reasons boosted this trend. First, citizens are getting more interested in their environment and its effects on daily life. Also many popular citizen science...https://video.osgeo.org/videos/embed/301ee693-efe7-4c35-90ee-64f2e9c537cbhttps://video.osgeo.org/w/6vJfRHb87qH1kD345psPb3https://video.osgeo.org/lazy-static/thumbnails/72351697-488a-4289-871c-33321e5145f1.jpgResults of an Evaluation of Augmented Reality Mobile Development Frameworks For Addresses in Augm...Results of an Evaluation of Augmented Reality Mobile Development Frameworks For Addresses in Augmented Reality—Daniel Jooste,Victoria Rautenbach, Serena Coetzee Addresses play a key role in facilitating service delivery, such as mail, electricity or waste removal, in both urban and rural areas. Today, preparation of digital geocoded address data in a geographic information system is a reasonably simple task. However, erecting and maintaining address signs in the physical world may take time due to lengthy procurement processes and vandalism or a disaster may cause signs to disappear. Displaying addresses in augmented reality could close the gap between digital address data and the physical world. In augmented reality, a live view of the real world is superimposed with computer-generated information, such as text or images. Augmented reality applications have received significant attention in tourism, gaming, education, planning and design. Points of interest are sometimes displayed, but addresses in augmented reality have not yet been explored. The goal of this article is to present the results of a two-step evaluation of augmented reality mobile development frameworks for address visualization. First, we evaluated eight frameworks. Based on the evaluation, we implemented an application in two of the frameworks. Three use cases informed the evaluation: 1) disaster management, e.g. address signs are destroyed by an earthquake; 2) household surveys, e.g. locating dwellings in informal settlements or rural areas where addresses are not assigned in any specific sequence and signs do not exist; and 3) address data quality management, e.g. validating digital address data against addresses displayed in the physical world. Evaluation criteria included developer environment; distribution options, location-based functionality, standards compliance, offline capabilities, integration with open source products, such as QuantumGIS and PostGIS, and visualization and interactio...https://video.osgeo.org/videos/embed/2ca44dcd-25a3-4416-98a3-fc8f1652b9a2https://video.osgeo.org/w/dTMB9BbmrtUW4eC1yTvhHvhttps://video.osgeo.org/lazy-static/thumbnails/42cf25ad-dcbd-448a-9a78-9ea32a2eb414.jpgLandmark Based Path Planning with a Linear Map Display For Mobile Map Applications—Thejaka […]Landmark Based Path Planning with a Linear Map Display For Mobile Map Applications—Thejaka Mahaulpatha, Pasindu Chandrasekara, Dananjaya Thathsara, Irendra Koswatte, Nimalika Fernando Landmarks are yet to be integrated with mainstream mobile phone based navigation aids. In geographical regions where land marks are commonly used by the community for navigation support, the lack of them in electronic navigation aids make them less useful for such communities. In this study a land marks based navigation model is derived considering the value of them for local community in Sri Lanka. The landmarks can be prominent or not, make sense only during certain time of the day or been important differently for people with different age groups. We assume that the attributes of landmarks can be used to give a strength value for them for navigation. In this study three parameters, the visibility of them at different time of the day, the horizontal spread of the landmark and the height of them are considered as attributes which gives strength to a landmark. First, to give more importance to landmarks, we have developed an algorithm where not only the distance of a route but the strength of landmarks is also considered when selecting the best route to navigate. The A* Algorithm is used as the base which output possible shortest paths considering only the distance. This algorithm was enhanced to output the optimum paths considering both the distance and the strength of landmarks along it. If the route is having more strength related to landmarks, it is prioritized. The route’s strength is defined based on number of landmarks visible along it and the strength of them. In order to calculate the number of landmarks along a route a landmark buffer is used. The day/night visibility and the height/spread are used to calculate the strength of the landmarks along the route. We have identified that after placing landmarks on a mobile screen which have limited size, the map become too conges...https://video.osgeo.org/videos/embed/6868b3af-11d8-4ecf-8135-e76a35d0fd5fhttps://video.osgeo.org/w/567L6MXJRXunyYiJyhCrubhttps://video.osgeo.org/lazy-static/thumbnails/094efefc-fd52-4215-9b3b-08bf0159d1bf.jpgDeveloping a Land Use Database of the Kanto Region, Japan in the 1880's—Nobusuke Iwasaki,Sprague,...Developing a Land Use Database of the Kanto Region, Japan in the 1880's—Nobusuke Iwasaki (National Institute for Agro-Environmental Science), David Sprague, Naoko Fujita, Ikuhiro Teramoto, Hiroshi Yamaguchi Historical land use records are valuable information for biodiversity protection, disaster management, rural area planning and many other uses. The Rapid Survey Maps (RSM) that were surveyed in the 1880’s (early Meiji Era), are the first modern cartographical map series of Japan and important sources of information on traditional land use in early modern Japan. We had been analyzing these maps based on polygon data and raster based Web-GIS System to disseminate the Rapid Survey Maps using FOSS4G, but, these are difficult to apply for quantitative analyses of land use change. Thus, we developed a grid based land use database using QGIS and PostGIS, and published the database using GitHub. First, we developed a land use data input system consisting of a client and server. The client was developed using QGIS API and the server was a PostGIS database. Point data as a 100 m grid was stored in the PostGIS server and land use category underneath each point was input using the QGIS application. About 1,400 thousand records (70%) have already been inputted. Error of grid based land use data is less than 1% compared with vector based land use data. We analyzed land use change from the 1880’s to 1975’s. The most significant difference between the 1880’s and 1970’s is the area of urban land use and “rough land” such as grassland and bush. Urban area increased remarkably and grassland area almost disappeared. That does not mean grassland changed to urban area. Most grassland changed to agricultural land uses and forest, and urban area was formerly mainly agricultural land use and forest. Some inputted data have been copied to GeoJSON and uploaded to GitHub (github.com/wata909/habs_test/) as open data (Creative Commons BY 2.1 Japan). A tentative data browsing site was const...https://video.osgeo.org/videos/embed/211b7090-1ebc-49e1-988e-ed5f2241f686https://video.osgeo.org/w/fQePKW2ETwn28fVccoSYPnhttps://video.osgeo.org/lazy-static/thumbnails/a34c59a7-7223-4f6f-b5ce-b965e9a121fc.jpgIntegrating Open Source GIS Software in Undergraduate Curriculum, Research, and Outreach - Recent...Integrating Open Source GIS Software in Undergraduate Curriculum, Research, and Outreach - Recent Experiences at Salisbury University— Arthur J. Lembo (Salisbury University) The Department of Geography at Salisbury University has a long tradition of teaching geographic information science. Until recently, most of the courses and research activities have focused on commercial software offerings. However, the Department has recently integrated Free and Open Source Software for GIS (FOSSG) into it's curriculum, research, and outreach. Curriculum changes included introducing students to FOSSG in traditional GIS courses using QGIS, and allowed the creation of two entirely new courses in Enterprise GIS and GIS Programming using PostGIS, GDAL, and SpatialLite. Through a competitive National Science Foundation (NSF) Research Experience for Undergraduates grant (REU), students participated in cutting edge research projects in parallel processing with Hadoop and spatialHadoop for cluster computer, and CUDA for GPGPU calculation on embarrassingly parallel processes for raster data. Finally, undergraduate interns working in the Department's Eastern Shore Regional GIS Cooperative (ESRGC) developed geodashboards using node.js, PostGIS, and Leaflet, while a special topics course developed a GIS based iphone and Android application used by 4,000 participants in the annual Sea Gull Century bike ride using GeoJSON, Leaflet, and javascript. In addition to highlighting the successes of these activities, this paper will discuss the process we used to make the necessary changes in our curriculum, secure the necessary funding for external projects, and the training approach we used to get our computer science students proficient in programming with FOSSG tools.https://video.osgeo.org/videos/embed/781c2942-c946-4672-bcf7-20d559d9b4ebhttps://video.osgeo.org/w/vVcjWmmqxCkT8kgFzWzAsZhttps://video.osgeo.org/lazy-static/thumbnails/d7cb809c-8dcc-4a7c-b799-25d9b655729a.jpgAn Open Source Web Service For Registering and Managing Environmental Samples — Anusuriya Devaraj...Records of environmental samples, such as minerals, soil, rocks, water, air and plants, are distributed across legacy databases, spreadsheets or other proprietary data systems. Sharing and integration of the sample records across the Web requires globally unique identifiers. These identifiers are essential in order to locate samples unambiguously and to manage their associated metadata and data systematically. The International Geo Sample Number (IGSN) is a persistent, globally unique label for identifying environmental samples. IGSN can be resolved to a digital representation of the sample trough the Handle system. IGSN names are registered by end-users through allocating agents, which are the institutions acting on behalf of the IGSN registration agency. As an IGSN allocating agent, we have implemented a web service based on existing open source tools to streamline the processes of registering IGSNs and for managing and disseminating sample metadata. In this paper we present the design and development of the web service and its database model for capturing various aspects of environmental samples. Previous work by the System for Earth Sample Registration (SESAR) was aimed primarily at individual investigators, whereas our work focuses on curating sample descriptions from larger collaborative projects. The paper describes the linkage between the IGSN metadata elements and the sampling concepts specified in existing common data standards, e.g., the Open Geospatial Consortium (OGC) Observations and Measurements standard. This mapping allows the application of the IGSN model across different science domains. In addition, we show how existing controlled vocabularies are incorporated into the service development to support the metadata registration of different types of samples. The proposed sample registration and curating approach has been trialled in the context of the Capricorn Distal Footprints project on a range of different sample types, varying from water to ...https://video.osgeo.org/videos/embed/f2466bd0-c32b-45a0-a770-f41e2f3fcd4dhttps://video.osgeo.org/w/r6CN2oidnz9YFRMxCsbz1Ehttps://video.osgeo.org/lazy-static/thumbnails/03826e78-0ed6-4dc8-976c-23da23c99f00.jpgAdvances in Civic Co-management Within the Geospatial Ecosystem Applied to Disaster Risk Manageme...Advances in Civic Co-management Within the Geospatial Ecosystem Applied to Disaster Risk Management— Tomas Holderness (University of Wollongong), Etienne Turpin, Rohan Wickramasuriya, Matthew Berryman The use of mobile devices for identifying risk and coordinating disaster response is well accepted and has been proven as a critical element in disaster risk management [1,2]. As new tools, applications, and software are adopted by municipal governments and NGOs for the identification and management of urban risk, the need for greater integration of the various data they aid in collecting becomes acute. While the challenge of integrated data management is substantial, it is aided by the fact that many new tools have been developed to include an Application Programming Interface (API), which allows the machine-to-machine (i.e. automated) sharing of open data [3]. While some proprietary platforms for the management of urban data are currently available, they are extremely costly and very limited in terms of data inputs; to date there are no open source geospatial software tools for the integrated management of various API sources. A key to improving disaster risk management as an element of risk identification is the development of an integrated open source Decision-Support Risk Matrix that enables: 1) automated integration of multiple geospatial and non-geosapatial API sources into a low cost, user-oriented dashboard; 2) backend database and software design for the Risk Matrix that enables data sources to be parameterized and interrogated; 3) the development of an output API stream that allows additional secondary applications to optimize their evaluations and analyses through open access to critical risk information. Jakarta and its surrounding conurbation (Jabodatabek) has the highest rate of urbanization in the world and comprises the second-largest contiguous settlement on earth. With a greater metropolitan area hosting 13 rivers, 1100 kilometers of canals, and ...https://video.osgeo.org/videos/embed/cb3ddc33-6139-4241-b2fb-fccff60666bahttps://video.osgeo.org/w/eNxkpWGaoDepkU53CFH62chttps://video.osgeo.org/lazy-static/thumbnails/11ada912-7693-4b78-9cc3-40a20bd1ae45.jpgEvaluation of an Open-source Collaborative WebGIS Prototype in Risk Management with StudentsEvaluation of an Open-source Collaborative WebGIS Prototype in Risk Management with Students— Zar Chi Aye (University of Lausanne), Marie Charriere, Roya Olyazadeh, Marc-Henri Derron, Michel Jaboyedoff Over the last decades, advancements in web services and web-based geospatial technologies have led to increasing delivery, access and analysis of rich spatial information over the web. With the use of open access data and open-source technology, it has become possible to make better, transparent and informed decisions for policy and decision makers. Under the framework of the European FP7 Marie Curie ITN CHANGES project, a prototype web-based collaborative decision support platform was developed for the evaluation and selection of risk management strategies, mainly targeting to flood and landslide hazards. The conceptual framework was designed based on the initial feedback and observations obtained from field visits and stakeholder meetings of the case study areas of the project. A three-tier client-server architecture backed up by Boundless (OpenGeo) was applied with its client side development environment for rapid prototyping. The developed prototype was tested with university students to obtain feedback on the conceptual and technical aspects of the platform as well as to analyze how the application of interactive tools in the exercise could assist students in their learning and understanding of risk management. During the exercise, different roles (authorities, technicians, community) were assigned to each group of students for proposition and selection of risk mitigation measures in a study area, Cucco village located in Malborghetto Valbruna commune of North-Eastern Italy. Data were collected by means of written feedback forms on specific aspects of the platform and exercise. A subsequent preliminary analysis of the feedback reveals that students with previous experiences in GIS (Geographical Information Systems) responded positively and showed their interes...https://video.osgeo.org/videos/embed/6fc653a2-6b72-435b-9041-1bc8c35706d1https://video.osgeo.org/w/n9N2j2xNT9cWnFNWzgFFGuhttps://video.osgeo.org/lazy-static/thumbnails/22d89ef7-0ed7-45b5-893f-33b365d81425.jpgAn Open-Source WebGIS Platform For Rapid Disaster Impact Assessment—Roya Olyazadeh,Jaboyedoff,Aye...Natural disaster impacts have increased worldwide in the last decades. Earthquakes are one of the disasters that have been studied for real-time analysis and crisis management. Disaster- related losses have been examined by damage extent of the houses, infrastructures, fatalities and injuries converted to financial losses. WebGIS technologies provide a wide range of solutions to map those damages, analyse data and publish the results. Open-Source tools and data have been widely used today because they stay free and facilitate access to data especially significant in developing countries. This research presents a WebGIS prototype using Open-Source Geo-Spatial technologies such as PostGIS, Geoserver, Geoexplorer and OpenStreetMap (OSM) to evaluate the rapid impact of naturally produced disasters for total damages. For this purpose, expert knowledge such as earthquake intensities and vulnerability inputs are imported into the system and the loss of the damage is rapidly estimated. This work is part of a project for catastrophe modeling based on Open-Source data and software. We hope that involving Open-Source knowledge into our application will decrease the time and efforts needed for rapid disaster and catastrophe management.https://video.osgeo.org/videos/embed/ab4a3975-dedf-4cc6-a8d2-02a5747220d0https://video.osgeo.org/w/puFvsiNg1H3gJ9eb6Xj79Yhttps://video.osgeo.org/lazy-static/thumbnails/5b868294-06bb-4c9e-9d84-6c79f50b889e.jpgEvaluating Flood Hazard Potential in Danang City, Vietnam Using FOSS4G—An Tran Thi, Venkatesh Rag...Evaluating Flood Hazard Potential in Danang City, Vietnam Using FOSS4G—An Tran Thi (Osaka City University), Venkatesh Raghavan, Shinji Masumoto, Susumu Nonogaki, Tatsuya Nemoto, Vinayaraj Poliyapram, Go Yonezawa This study aims to build flood hazard map for a lowland area in Danang city, Vietnam based on topographical data, land-cover and flood inundation map. ALOS PALSAR imageries with respect to the time before and during flood event in 2007 were used to characterize flood inundation. In addition, topographical data was developed via 5m resolution DEM generated by a bi-cubic spline algorithm that implemented in BS-Horizon program (Nonogaki et al., 2012). This high resolution DEM was used to enhance the accuracy of flood map as well as determine the geomorphological features of the study area and the relations on flood hazards. Land-cover map in 2007 extracted from Landsat TM data was also applied for the landform classification process. The flood hazard map was generated based on the probability of submergence of each landform unit. The changes in land-cover as well as topography have significant effect on flood hazard. In this study, optical Rapid Eye remote sensed data in 2014 was used to extract land-cover by the time and the land-cover change from 2007 to 2014. The estimated landform and potential flood hazard map in 2014 was built based on the updated land-cover. The result was compared with field survey flood pillar data, flood map in the past, land-cover change and flood scenario given by Danang City government to assess the accuracy. This research has also proposed some flood prevention plans for this alluvial lowland area. Landforms units derived rule-based classification of land cover map, 5m resolution DEM data and flood inundation map not only facilitates the understanding of the nature of flood but also in flood risk zoning. The methodology developed in this study would be useful in low relief areas in Vietnam and other parts of the world.https://video.osgeo.org/videos/embed/be435cbf-a02a-45d4-82f8-57e9766e9140https://video.osgeo.org/w/3VYBaB9KCoNhRERgsswRpZhttps://video.osgeo.org/lazy-static/thumbnails/20b211d3-aaa1-46e0-a7c3-646323a29128.jpgKeynote Lecture 8: Global Vision: The Open Source Geospatial Foundation — Jeff McKennaPower your marketing strategy with perfectly branded videos to drive better ROI.https://video.osgeo.org/videos/embed/17bb94fe-39d8-48f6-8845-25aca8b41023https://video.osgeo.org/w/22LYejkcqrv2wfCAUBJyKihttps://video.osgeo.org/lazy-static/thumbnails/4c92c5ea-535c-419c-b725-24cdb86ca05d.jpgKeynote Lecture 6: Citizen Science,VGI,Geo-CrowdSourcing,BigGeoData:how they matter to the FOSS4G...Power your marketing strategy with perfectly branded videos to drive better ROI.https://video.osgeo.org/videos/embed/08589889-e3bc-4fd1-bc03-9c3a56046b0fhttps://video.osgeo.org/w/q2Z9MSBCHwqLN6PQYh3LdEhttps://video.osgeo.org/lazy-static/thumbnails/43286678-41e7-44b3-89e9-f3e69f62f3b2.jpgKeynote Lecture 7: QGIS - from a geodata viewer to a GIS platform — Marco HugentoblerPower your marketing strategy with perfectly branded videos to drive better ROI.https://video.osgeo.org/videos/embed/c2a24ae2-3bf5-4572-8266-a4f455773fdehttps://video.osgeo.org/w/6fwUv5uDi7aVZ7PqzeBxtzhttps://video.osgeo.org/lazy-static/thumbnails/ac24db20-9b61-44f9-9def-0af8ac78ed81.jpgClosing Ceremony & AwardsPower your marketing strategy with perfectly branded videos to drive better ROI.https://video.osgeo.org/videos/embed/2a8526ee-ef48-4ea0-aeb1-63c3fc0cf403https://video.osgeo.org/w/bi86hPkNLPPDLace2KNiLLhttps://video.osgeo.org/lazy-static/thumbnails/2882ab59-9060-4e19-a0ad-2e283e693c3b.jpgCartoDB Basemaps: a tale of data, tiles, and dark matter sandwiches — Alejandro MartínezCartoDB is an open souce tool and SaaS platform that allows users to make beautiful maps quickly and easily from their own data. To complement our users needs, we launched last year our free-to-use open source OSM based basemaps Positron and Dark Matter (github.com/CartoDB/CartoDB-basemaps), designed in collaboration with Stamen to complement data visualization. While architecturing them, we had several compromises in mind: they had to be powered by our existing infrastructure (powered by Mapnik and PostGIS at its core), they had to be scalable, cacheable but frequently updated, customizable, match with data overlays, and, last but not least, they had to be beautiful. This talk is the tale of the development process and tools we used, how we implemented and deployed them and the technology challenges that arose during the process of adapting a dynamic mapping infrastructure as CartoDB to the data scale of OSM, including styling, caching, and scalability, and how (we think) we achieved most of those. I will also talk about the future improvements that we are exploring about mixing the combination of basemap rendering with data from other sources, and how you can replicate and tweak those maps on your own infrastructure.https://video.osgeo.org/videos/embed/535f669a-e048-48a5-879d-b8bc1ea285c8https://video.osgeo.org/w/8rCsVgZRG7HuJqvGeUmqnshttps://video.osgeo.org/lazy-static/thumbnails/3f21669d-b0ea-462e-9dcb-64ab8d2d4266.jpgMap publishing with or without programming skills — Timo AarnioThis presentation will showcase the use of Oskari (oskari.org/oskari) in publishing embedded map applications. The typical use case doesn’t require any programming skills. You only need to select the map layers and tools that will be available in the application. After that, you can customize the user interface (size, colors, tool layout etc.). As a result the publishing tool will give you a HTML-snippet to embed to any web site. The supported web services are WMS, WMTS, WFS and Esri REST. If your data is not readily available through a web service, you can import data. Shapefiles, KML, GPX and MID/MIF-files are supported. There’s an extensive selection of tools at your disposal: index map, centering to user’s location, address and place name search, attribute table (for vector data) to name a few. Integrating the map application with the surrounding web page makes more advanced use cases possible. All you need is a few lines of JavaScript to use the RPC interface (oskari.org/documentation/bundles/framework/rpc). With RPCs you can control the map application from the parent document and vice-versa. They can also exchange information. This enables you to develop highly interactive web applications with always up-to-date data. In the presentation an example application made using Oskari and D3 will be showcased.https://video.osgeo.org/videos/embed/3c440963-b9ac-455b-87bb-787e8eea8a3chttps://video.osgeo.org/w/frKhjF9eCEccDDECY4wVc3https://video.osgeo.org/lazy-static/thumbnails/32dd00d5-f8f4-4214-8893-40e9c72e3d3f.jpgOpening Address Data around the World — Tom LeeWith over 110 million points, OpenAddresses.io has grown to be the largest open database of address data in the world. Governments, developers and businesses are realizing that address data belongs in a commons where it can be easily maintained, used by all, and drive economic growth. These early efforts are now powering some of the world's best commercial geocoding systems, as well as crucial infrastructure like emergency responders. But there's more work to do. We need to reform outdated laws, expand coverage to new cultural contexts, untangle shortsighted licenses, and invent new modes of collaboration between the public and government. We'll cover how OpenAddresses started, how it can be used today, and how we expect it to grow into a definitive global resource.https://video.osgeo.org/videos/embed/74f83567-5f88-4722-9438-0a4c5d5d48d4https://video.osgeo.org/w/2CCVqW1u112zcvKy1SbEZphttps://video.osgeo.org/lazy-static/thumbnails/cf8e937a-21ab-4199-ac10-249242c031bf.jpgEverybody wants (someone else to do) it: Writing documentation for open source software — Jody Ga...Many people will cite how their adoption of software was based on the quality of documentation, and yet documentation can be one of the largest gaps in quality with an open source project. This talk will discuss why that is, what you (yes you) can do about it, and how the author has so far managed to avoid burnout by learning to accept less-than-perfect grammar.https://video.osgeo.org/videos/embed/0d36aafa-3879-477e-9a26-566884f8c589https://video.osgeo.org/w/thUhRDRKxECfTXPzir4aZNhttps://video.osgeo.org/lazy-static/thumbnails/6e2c3734-993a-4f00-8a3b-5c94f9140fe5.jpgSemantic assessment and monitoring of crowdsourced geographic information — Hamish Mcnair, Paul G...Whilst opensource software allows for the transparent collection of crowdsourced geographic information, in order for this material to be of value it is crucial that it be trusted. A semantic assessment of a feature’s attributes against ontologies representative of features likely to reside in this location provides an indication of how likely it is that the information submitted actually represents what is on the ground. This trust rating can then be incorporated into provenance information to provide users of the dataset an indication of each feature’s likely accuracy. Further to this, querying of provenance information can identify the features with the highest/lowest trust rating at a point in time. This presentation uses crowdsourced data detailing the location of fruit trees as a case study to demonstrate these concepts. Submissions of such crowdsourced information – by way of, say, an OpenLayers frontend – allow for the collection of both coordinate and attribute data. The location data indicates the relevant ontologies – able to be developed in Protégé – that describe the fruit trees likely to be encountered. If the fruit name associate with a submitted feature is not found in this area (e.g. a coconut tree in Alaska) then, by way of this model, the feature is determined to be inaccurate and given a low trust rating. Note that the model does not deem the information wrong or erase it, simply unlikely to be correct and deemed to be of questionable trust. The process continues by comparing submitted attribute data with the information describing the type of fruit tree – such as height – that is contained in the relevant ontologies. After this assessment of how well the submitted feature “fits” with its location the assigned trust rating is added to the feature’s provenance information via a semantic provenance model (akin to the W3C’s OPM). Use of such semantic web technologies then allows for querying to identify lower quality (less trustworthy) features a...https://video.osgeo.org/videos/embed/dd02de8f-b95a-435a-9bb9-08d1e361a0c4https://video.osgeo.org/w/ahiaNWMYL58nNFHfpvJcMfhttps://video.osgeo.org/lazy-static/thumbnails/94ef7321-430d-490a-8251-0c996793e9b4.jpgHow to build a succesful co-operation around your FOSS software - case Oskari — Jani KylmäahoMany FOSS projects have started as endeavours to solve a problem at hand. In due course, the developed software has been adopted by some other users, has proven itself useful and then, by magic, has become a popular product with thousands of users worldwide. Fact or fiction? This presentation outlines the success story of Oskari and national co-operation around the software. Oskari oskari.org is a popular open source platform for browsing, sharing and analyzing of geographic information, utilizing in particular distributed spatial data infrastructures. The Finnish Oskari collaboration network actively works on various projects extending the software and creating new innovative services. The network consists of 27 member organizations, of which 12 are private companies. Success doesn't usually come without organized work. For the process of securing a successful co-operation, a few steps can be laid out. 1) Creating a useful piece of software with appropriate licensing 2) Co-operating with a number of early adopters 3) Starting a collaboration network 4) Adopting a sustainable model for collaboration and developing a product lifecycle management plan 5) Measuring success and providing proof of benefits of both the software and co-operationhttps://video.osgeo.org/videos/embed/4b28baa6-fe80-4e2f-8897-ace44d03b68chttps://video.osgeo.org/w/cD2GG5CPU5ZtTSPyAkkynhhttps://video.osgeo.org/lazy-static/thumbnails/f01a045b-637e-441b-aad2-cda3eea6ade4.jpgCOBWEB, a citizen science data collection platform. — Panagiotis TerzisCOBWEB is a European Union FP7 funded citizen science project that has produced a platform through which citizens living within Biosphere Reserves will be able to collect environmental data using mobile devices. Part of the infrastructure are a COBWEB mobile app, the survey designer and the Personal Cloud API (PCAPI) middleware. The survey designer is a GUI editor for generating custom forms, which can be downloaded onto the app, together with a map interface for viewing data captured in the field and a mechanism for exporting user data to CSV, KML and GeoJSON. The COBWEB app has been generated on the foundations of Fieldtrip Open, which is a modular plug-in framework to enable developers to write their own extensions and re-use plugins written by others. This framework has been used in the creation of other production strength apps e.g. the FieldtripGB, FieldtripOSM. The framework is based on Cordova framework and can be compiled to Android and iOS and potentially all other platforms targeted by Cordova. Plugins have already been written for capturing GPS tracks, geocoding, caching off-line maps, creating Geo-Fences, overlaying layers in MBTiles and KML Format, extending the records with sensor data, making decision tree questionnaires and syncing data on the cloud. The synching functionality is the one that allows user to download their custom forms to their devices and layers and upload their captured data to their personal cloud space. Finally, PCAPI is a middle-ware which abstracts storage to cloud providers e.g. Dropbox or a local File system. All the software is (modified) BSD-licensed.https://video.osgeo.org/videos/embed/5e4017e7-b5aa-4ac2-86ac-a155f5cebb3ahttps://video.osgeo.org/w/nHpSVW2rnV8TbXnrNzPpJehttps://video.osgeo.org/lazy-static/thumbnails/6da13b85-df60-4d01-ad92-b8c8276041c5.jpgLeaflet vs. OpenLayers: which is best for our indoor maps? — Iván Sánchez OrtegaLeaflet and OpenLayers are two well-known javascript libraries for embedding interactive maps in a web page, and each of them comes with pros and cons which are not obvious. Having worked with both libraries for indoor applications, we will in this presentation offer insight on which of them is more suited to a variety of situations and requirements, and which challenges they should overcome in the future.https://video.osgeo.org/videos/embed/afd81f30-66cf-4c3f-b5ab-f28e80631eb5https://video.osgeo.org/w/pWgzaDGXFD8S2LsfdfmUtrhttps://video.osgeo.org/lazy-static/thumbnails/7a150444-1eff-491a-a3ef-0f2d1f1c0d66.jpgWPS Benchmarking Session — Benjamin Pross, Gérald Fenoy, Jody GarnettThe yearly Web Processing Service (WPS) benchmark. Variuos WPS implementations will be tested regarding their capabilities, compliancy to the standard and performance. Traditionally, each participating project designates individuals from their community to participate in this talk to introduce their project and summarize its key features. The focus this year will be on compliancy and interoperability. We will present the test set-up, participating WPS projects and the results of the benchmark.https://video.osgeo.org/videos/embed/c1d5f301-9f6c-4dd7-8e18-494ee1195587https://video.osgeo.org/w/61oKkS9hyWR1c6reP47wn8https://video.osgeo.org/lazy-static/thumbnails/1818a5a9-6f96-45cc-b3b6-6cb233194017.jpgOSGeo and LocationTech Comparison — Jody GarnettWe have two great organizations supporting our Free and Open Source Software for Geospatial: The Open Source Geospatial Foundation and LocationTech. Putting on events like FOSS4G is primary responsibility of these software foundations - supporting our great open source software is! This talk will introduce OSGeo and LocationTech, and balance the tricky topic of comparison for those interested in what each organisation offers. We will also look at areas where these organizations are collaboration and explore possibilities for future work. Each of these software foundations support for their existing projects, ranging from "release parties" such as OSGeo Live or the Eclipse Annual Release. We are also interested in the “incubation” process each provides to onboard new projects. Review of the incubation provides an insight into an organization's priorities. This talks draws the incubation experience of: * GeoServer (OSGeo), GeoTools (OSGeo), * GeoGig (LocationTech), uDig (LocationTech) If you are an open source developer interested in joining a foundation we will cover some of the resource, marking and infrastructure benefits that may be a factor for consideration. We will also looking into some of the long term benefits a software foundation provides both you and importantly users of your software. If you are a team members faced with the difficult choice of selecting open source technologies this talk can help. We can learn a lot about the risks associated with open source based on how each foundation seeks to protect you. The factors a software foundation considers for its projects provide useful criteria you can use to evaluate any projects.https://video.osgeo.org/videos/embed/288bb639-4fd7-463c-a998-ac2963db4e41https://video.osgeo.org/w/wKQiKDnRzpjo6aDQ9tT3sHhttps://video.osgeo.org/lazy-static/thumbnails/b4440435-afe6-4d1e-afb0-2a9b73e55b36.jpgFast Cache, Fresh data. Can we have it all? — Henrik Lund PedersenFast Cache, Fresh data. Can we have it all? Abstract Most national mapping authorities aim to provide a broad range of authoritative, up-to-date, easily accessable cached basemap services in accordance with industry standards. It is the adherence to these goals that set our cache services apart from the likes of Google and Bing, where a broad range of maps and update frequency have been neglected in order to acheive lightning fast, reliable, single services. Our responsibilities as a national provider of authoritative data require us to go further. The problem for national mapping authorities is that the consumers now demand the best of both worlds. When accessing our services, they not only assume an authoritatve date source that is correct at the time of viewing, but also demand performance on a par with that offered by the market leaders. It’s telling that both the private and public sectors find it extremely difficult to meet these expectiations; superfast, reliable cache services with data that is as close to real-time accurate as possible. This presentation will look at the Norwegian Mapping Authorities project to first find a solution to these probems, and then implement it through a completely opensource infrastructure. The project first came about as a result of increased user feedback concerning the cache services following the release of a new national mapping client, Norgeskart.no. We found that, primarily, the complaints were about the stability of the cache speed, not about the top speed itself. They encountered this problem because of the inherent issues in providing fresh data, namely an incomplete cache. The consumers expected our cache service quality indicators (speed, stability, uptime) to mirror those of the perceived commercial alternatives, and, due to various reasons, they were not. The initial primary goal of the project was ‘to increase the speed stability of our cache services, creating an infrastructure that enables them to run as clos...https://video.osgeo.org/videos/embed/f910e95d-ce47-41df-afbb-31f7bf30777dhttps://video.osgeo.org/w/tjGqdSwkdvko31zL1Q4Ronhttps://video.osgeo.org/lazy-static/thumbnails/d95d4dcc-c196-4ecf-a96b-636078c78ac4.jpgTempus, a new OpenSource platform for Multimodal routing — Vincent PicavetTempus is an OpenSource Framework for multimodal routing. This platform focuses on planning trips that involve all possible transport modalities, mixing private and public modes as well as shared vehicles. It also aims at fulfilling requests with multiple objectives. Tempus project page, on GitHub: ifsttar.github.io/Tempus/ Tempus is the result of a successfull collaboration between transports scientists ( French IFSTTAR research laboratory ) and Open Source industry, using OpenSource methods of development. It is an open project, from the software to the organization, with a PSC and online development platform. Tempus is designed as a platform with a very modular architecture. It is buit around a C++ core, and relies on well-known Open Source components and standards like PostGIS, QGIS, WPS and Boost graph. This modular architecture allows to implement your own multimodal routing algorithms as a new Tempus plugins, reusing the Tempus framework facilities. The platform has a truly multimodal model at his heart. It uses multi-layer graphs, and is able to find realistic multimodal trips with : - private vehicles (car, bicycle) - taxis - walking paths - public transport networks - shared bikes and cars - complex turn restrictions - speed profiles - 'arrive before' requests, using a reverse graph adaptor Tempus generates a route and a roadmap with directions instructions, and elevation profiles. Multimodal path computation implies being able to integrate data from multiple sources. Tempus features a data loader (in Python), allowing to populate a Tempus PostgreSQL/PostGIS database with data from external formats. Supported formats supported so far are: - TomTom multinet (2011.3) - NavTeq (2008.3, 2009.3) - OpenStreetMap (CloudMade shapefiles and .osm through osm2shp++) - GTFS On top of the C++ framework, a WPS server is implemented, which can be queried by any client implementing this protocol. A QGIS specific client using the WPS service is available for easy end-u...https://video.osgeo.org/videos/embed/dd430a38-5d70-4501-83c0-54db545d8bedhttps://video.osgeo.org/w/kKjCjnw3VM5uszAJEoTyU1https://video.osgeo.org/lazy-static/thumbnails/bf076fc4-e5ad-4b32-a8c7-7e749930e16a.jpgPostTrajectory : Querying and Managing GPS and Trajectories on Postgresql/PostGIS — Ki Hyun YooRecently, many services regarding moving object have been studied with using location information as mobile devices and systems are advancing. Trajectory is the data which information of the location by the time. The current database system is not defined that to store of the moving object data type. Therefore, the location information of object can be stored, but it is difficult to store those location information and time information together. In this paper, the extended system which can store the trajectory of the moving object by using PostgreSQL and PostGIS used as spatial database is designed and implemented.https://video.osgeo.org/videos/embed/9fea186d-a480-4c23-a6cb-69da20d96be0https://video.osgeo.org/w/grn6k4WqKx7BkFfBR5Y7jChttps://video.osgeo.org/lazy-static/thumbnails/7292a6fe-aff2-47c3-9906-f0f9a2d2bdc7.jpgProcessing, serving and rendering huge point clouds on Mobile devices and Web pages—Manuel De La ...Rendering 3D point clouds on mobile devices is a hard task because we are working online and we work on limited performance devices.We have developed a server-client library that allow developers to serve any size point clouds on any environment.The library developed has the following products: - A tool to import the point clouds from different formats, - A library to pre-process fastly this points and a server to give the correct points on every tile to the clients apps.This server streams the data. A demo example point-cloud.glob3mobile.com/https://video.osgeo.org/videos/embed/7d03ac27-a171-4bec-a9ea-e7a0bb005270https://video.osgeo.org/w/6R94MQidYoiPiWCLa6CBVLhttps://video.osgeo.org/lazy-static/thumbnails/e653cfdb-5fba-4c5f-b780-921a8cd5dca1.jpgMagical PostGIS in three brief movements — Paul RamseyEveryone knows you can query a bounding box or even spatially join tables in PostGIS, but what about more advanced magic? This short symphony of PostGIS examples will look at using advanced features of PostGIS and PostgreSQL to accomplish surprising results: * Using full text search to build a spatially interactive web form. * Using raster functionality to look into the future. * Using standard PostgreSQL features to track and visualize versioning in data. PostGIS is a powerful tool on it's own, but combined with the features of PostgreSQL, it is almost magical.https://video.osgeo.org/videos/embed/2f5a1bc5-306d-4a50-b69d-bbe813848aaahttps://video.osgeo.org/w/dyAM1eijXfqjdzfWe7m6hdhttps://video.osgeo.org/lazy-static/thumbnails/2975a23e-5ddc-44c2-bbf8-9d4bb0008f05.jpgTowards GeoExt 3 – Supporting both OpenLayers 3 and ExtJS 6 — Marc Jansen, Christian MayerGeoExt (geoext.github.io/geoext2/) is Open Source and enables building desktop-like GIS applications through the web. It is a JavaScript framework that combines the GIS functionality of OpenLayers with the user interface savvy, rich data-package and architectural concepts of the ExtJS library provided by Sencha. Version 2.1 of GeoExt (currently in alpha-status) is the successor to the GeoExt 1.x-series and brought support for ExtJS 5 and is built atop the following installments of its base libraries: OpenLayers 2.13.1 and ExtJS 5.1.0 (or ExtJS 4.2.1 at your choice). The next version of GeoExt (v3.0.0?) will support OpenLayers 3 and the new and shiny ExtJS 6 (not finally released at the time of this writing). The talk will focus on the following aspects: * Introduction into GeoExt * New features in OpenLayers 3 and ExtJS 6 and how they can be used in GeoExt * The road towards GeoExt 3 * Results of the planned Code Sprint in June (see github.com/geoext/geoext3/wiki/GeoExt-3-Codesprint) * Remaining tasks and outlook The new features of OpenLayers (e.g. WebGL-support, rotated views, smaller build sizes, etc.) and Ext JS 6 (Unified code base for mobile and desktop while providing all functionality of ExtJS 5) and the description of the current state of this next major release will be highlighted in the talk. Online version of the presentation: marcjansen.github.io/foss4g-2015/Towards-GeoExt-3-Supporting-both-OpenLayers-3-and-ExtJS-6.html#/https://video.osgeo.org/videos/embed/65bae55f-7ded-4891-8cd6-eea8ab50fd80https://video.osgeo.org/w/65gkPcrfSXjoNsT8rYeGQyhttps://video.osgeo.org/lazy-static/thumbnails/a00b7d68-d874-4ad9-83b2-65c5c429ad60.jpgThe way to go with WPS — Espen Messel, Knut LandmarkHow to find your way in difficult terrain, with obstacles, hazards, and deep snow? We present a solution for cross-country path planning and mobility, based on OSGeo software and open data. A large graph representing terrain, roads, and paths is stored in PostGIS for use with the pgRouting module of shortest path algorithms. The graph is based on detailed topography, soil type and vegetation data, and edge weights can be adapted for hikers and vehicles. The application is service oriented and held together by the Web Processing Service (WPS), the OGC interface standard for computation-oriented web services. A key component is the ZOO WPS server. The presentation will discuss WPS benefits and describe graph and weight generation, including challenges such as accounting for dynamic data about temporary hazards, weather, etc.https://video.osgeo.org/videos/embed/29161f7c-11e2-4a80-9ce8-59b6b983c608https://video.osgeo.org/w/5pHwUTmYB3bQDU5yUVWLK8https://video.osgeo.org/lazy-static/thumbnails/ef9acc70-8847-47ad-98e2-f23510f1f810.jpgGeoCouch: Operating multidimensional data at scale with Couchbase — Volker MischeCouchbase is a distributed document-oriented NoSQL database. You store the data as JSON and then build indexes with simple JavaScript functions. This talk is about the multidimensional index capability of Couchbase. This means you can index not only geographic data (encoded as GeoJSON) but any additional numeric attributes you like. Such a multidimensional query might be used for an application about car sharing. You would e.g. query for all the cars in a certain area, but you're also interested in additional attributes. Let's say you want to display only cars where at least four people fit in. Or you want one with air-conditioning. Such attributes would be the additional dimensions. In this case it would be 4-dimensional query, two for the location and two for additional attributes. Quite often GeoHash is used for implementing a spatial index, which has some limitations. A notable one is that you need to know that maximum range of your data upfront as it's a space partitioning algorithm. It is good enough for purely geospatial data, but as soon as additinal attributes like time are needed, it might become an issue. GeoCouch takes a more traditional approach like PostGIS and uses an R-tree which is data partitioning, hence you don't need to know the extent up-front. Another focus of this talk will be on the operational strengths Couchbase has. One thing is the web interface that makes administrating clusters very easy, even when there's a failure. The other thing is that you can easily restart servers, e.g. when a Linux Kernel upgrade is due, without any downtime on the full cluster. The system stays operational and handles those upgrades gracefully. In the end you will have a good overview on why you really want to use a multidimensional indexing for your remote sensing data or points of interest in your location aware mobile app. GeoCouch is fully integrated into Couchbase, there's no additional setup needed to get started. All source code from Couchbase is lic...https://video.osgeo.org/videos/embed/23b441c7-4f23-4b4a-b167-51a15a03e135https://video.osgeo.org/w/cRCeXvkMb91SzpY3TWLvHfhttps://video.osgeo.org/lazy-static/thumbnails/050afce8-1d94-4981-88e5-97e1fd87d66a.jpgRaster Data In GeoServer And GeoTools: Achievements, Issues And Future Developments — ANDREA AIME...The purpose of this presentation is, on a side, to dissect the developments performed during last year as far as raster data support in GeoTools and GeoServer is concerned, while on the other side to introduce and discuss the future development directions. Advancements and improvements for the management of multidimensional raster data (NetCDF, GRIB, HDF) and mosaic thereof will be introduced, as well as the available ways to manage sliding windows of data via the REST API and importer. Extensive details will be provided on the latest updates for the management of multidimensional raster data used in the Remote Sensing and MetOc fields, including support for WCS EO and WMS EO, and some considerations on the WCS MetOc extensions. The presentation will also introduce and provide updates on jai-ext, imageio-ext, and JAITools. jai-ext provides extended JAI operators that correctly handle NODATA and regione of interests (masks), JAITools provides a number of new raster data analysis operators, including powerful and fast raster algebra support, while ImageIO-Ext bridges the gap across the Java world and native raster data access libraries providing high performance access to GDAL, Kakadu and other libraries. The presentation will wrap up providing an overview of unresolved issues and challenges that still need to be addressed, suggesting tips and workarounds allowing to leverage the full potential of the systems.https://video.osgeo.org/videos/embed/60024dd7-f575-4c75-9e24-e6cbd061070chttps://video.osgeo.org/w/82spk4TjdZmEFg6FMACtgvhttps://video.osgeo.org/lazy-static/thumbnails/7477dd1a-8326-4657-8044-aa694092ec5c.jpgGeosocial Big Data Analysis Using Python and FOSS4G with the Case Study of Korean Data — Ilyoung ...Nowadays, there are many researches on the analysis of Geosocial big data, such as geotweeet and as foursquare venues and OSS(Open Source Software) has an important role on this. In the analyzing geosocial big data, there are several different steps such as data collection, data parsing, data conversion, statistical analysis, visualizing and database management. So, the integrated system architecture and the compatible analysis environment has a key role to acquire the relevant analysis results. The Python programming support the interoperable analysis environment for the various and different software functions and enable to process for geosocial big data in the integrated platforms. FOSS4G support software environment for geovisualization and data management for the collected data. In this study, the way and process of geosocial big data analysis is introduced with case study of geotweet and foursquare venues and the analysis results are presented with the case study of Korean data. For this study, Python API libraries for tweeter(tweepy) and foursquare(pyforsquare) used to collect the geosocial data, and Pandas and Simplejson are used to parse and extract the valid data, and GDAL and PySAL are used to convert and analyze for GIS data. PyTagCloud and WordCloud are used to visualize the qualitative text. MongoDB is used to store the collected dataset and QGIS are applied for the geovisualization.https://video.osgeo.org/videos/embed/38e3fc3e-f97a-49ef-82c3-7141457db26fhttps://video.osgeo.org/w/hxVB37hU8gyRqHyS9dwn85https://video.osgeo.org/lazy-static/thumbnails/577820a1-0eef-479e-98f1-d48828495413.jpgAnalysis of Spatial Density Utilizing the Big Data of Floating Population of Seoul City — Hailin KimThis article aims at dealing with the inconveniences—associated with places—the foreign tourists are experiencing by utilizing the big data technology. It analyzes the spatial density of floating population of foreign tourists and suggests a variety of applications based on the results. This thesis associates the roaming big data of foreign tourists with Geographic Information System(GIS) to analyze the floating population density by location, time, and country. It uses R-Studio, a statistical computing software, and QGIS, an open source GIS software to visualize the data on a map. The first step to conduct the research is to open CSV format data and set variables for analysis. Then it analyzes the spatial density of floating population of foreign tourists sorted by time, location, and country, and the number of visitors is ranked for each location. Based on the analysis results, the data are visualized on a map through QGIS. Lastly, several adjacent target points—base stations—for certain locations are matched, and the necessary data are sampled out of them. This paper selects fourteen locations whose floating population of foreign tourists is dense: Gyeongbok Palace, Namsan Hanok Village, Deoksu Palace, Insadong, Myeongdong, Namdaemun Market, Dongdaemun Market, Garosu-gil, Apgujeongdong, Itaewon, Hongik University Entrance, Gangnam Station, COEX, and Lotte World. Moreover, it categorizes fourteen places into historical, shopping, and complex attraction and delves into the pattern or characteristics of floating population according to the categories; the categorized results directly show the distinct preferences for places and visiting time period. (Although the names of the countries the tourists are from are not provided in the roaming data of foreign tourists, they could be readily inferred from the comparison of the analysis results to the survey conducted by Korea Chamber of Commerce and Industry.) This research paper makes four pragmatic proposals in order...https://video.osgeo.org/videos/embed/86074f63-af41-49e1-8df7-6f178ba7e57ehttps://video.osgeo.org/w/hdSy9vFm9X1xMFtFjtvr8Whttps://video.osgeo.org/lazy-static/thumbnails/dd0da1ee-20e8-46e1-af63-14f699e40c79.jpgAn On-board Visual-based Attitude Estimation System For Unmanned Aerial Vehicle Mapping — Samsung...An On-board Visual-based Attitude Estimation System For Unmanned Aerial Vehicle Mapping — Samsung Lim (University of New South Wales), Mohammad Ridhwan Tamjis A visual-based attitude estimation system aims to utilize an on-board camera to estimate the pose of the platform by using salient image features rather than additional hardware such as gyroscope. One of the notable achievements in this approach is on-camera self-calibration [1-4] which has been widely used in the modern digital cameras. Attitude/pose information is one of the crucial requirements for the transformation of 2-dimensional (2D) image coordinates to 3-dimensional (3D) real-world coordinates [3]. In photogrammetry and machine vision, the use of camera’s pose is essential for modeling tasks such as photo modeling [5-8] and 3D mapping [9]. Commercial software packages are now available for such tasks, however, they are only good for off-board image processing which does not have any computing or processing constraints. Unmanned Aerial Vehicles (UAVs) and any other airborne platforms impose several constraints to attitude estimation. Currently, Inertial Measurement Units (IMUs) are widely used in unmanned aircrafts. Although IMUs are very effective, this conventional attitude estimation approach adds up the aircraft’s payload significantly [10]. Hence, a visual-based attitude estimation system is more appropriate for UAV mapping. Different types of approaches to visual-based attitude estimation have been proposed in [10-14]. This study aims to integrate optical flow and a keypoints detector of overlapped images for on-board attitude estimation and camera-self calibration. This is to minimize the computation burden that can be caused by the optical flow, and to fit in on-board visual-based attitude estimation and camera calibration. A series of performance tests have been conducted on selected keypoints detectors, and the results are evaluated to identify the best detector for the proposed visual-ba...https://video.osgeo.org/videos/embed/835e4c89-09e4-4376-a661-0328e5b73b08https://video.osgeo.org/w/1sJ959nxbknvoebj8T1Jjahttps://video.osgeo.org/lazy-static/thumbnails/5578d08d-5d7c-470f-b826-f477e4ff077e.jpgImage Geocoding as a Service — Jorge Gustavo Rocha, Nuno Amorim, Paulo AlmeidaDriven by the ambition of a global geocoding solution, in this paper we present the architecture of an image geocoding service. It takes advantage of the ubiquity of cameras, that are present in almost all smartphones. It is an inexpensive sensor yet powerful, that can be used to provide precise location and orientation. This geocoding service provides an API similar to existing ones for place names and addresses, like Google Geocoding API. Instead of a text based query, images can be submitted to estimate the location and orientation of the user. Developers can use this new API, keeping almost all the existing code already used for other geocoding APIs. Behind the scenes, image features are extracted from the submitted photograph, and compared against a huge database of georeferenced models. These models were constructed using structure from motion (SFM) techniques, and heavily reduced to a representative set of all information using Synthetic Views. Our preliminary results shows that the pose estimation of the majority of the images submitted to our geocoding was successfully computed (more than 60%) with the mean positional error around 2 meters. With this service, an inexpensive outdoor/indoor location service can be provided, for example, for urban environments, where GPS fails.https://video.osgeo.org/videos/embed/03bb4ea4-c892-4e22-98eb-e0c750a1ac15https://video.osgeo.org/w/fCQEMR88aaTdnY2pZ3trQVhttps://video.osgeo.org/lazy-static/thumbnails/e280a05d-e092-495f-927c-ed3bef882fec.jpgFREEWAT: FREE and Open Source Tools For WATer Resource Management — Massimiliano CannataPower your marketing strategy with perfectly branded videos to drive better ROI.https://video.osgeo.org/videos/embed/7684b5cd-fa12-4588-afea-024e22246cd1https://video.osgeo.org/w/6ZpPiGi2TU7vPniNP1WYknhttps://video.osgeo.org/lazy-static/thumbnails/0288f769-a453-4fdb-ba6f-effe92ac5fa9.jpgModifications to Web Processing Service Standard For Client-Side Geoprocessing — Evgeny Panidi, K...Modifications to Web Processing Service Standard For Client-Side Geoprocessing — Evgeny Panidi, Eduard Kazakov, Anton Terekhov, Evgeny Kapralov Nowadays we see the rapid growth of solutions number for spatial data processing in the Web (i.e. geoprocessing). One of the main trends of Web geotechnologies evolution is the transition from Web map applications to the Web GIS applications, which are supplement the maps delivery with the analytic tools providing to the end user through Web interface. The only general open standard describes implementation rules for Web geoprocessing services. This is the Open Geospatial Consortium Web Processing Service standard (OGC WPS), which is server-oriented standard [Schut at al., 2007]. Moreover, the vast majority of currently used solutions (both open source and proprietary) are server-oriented, i.e. assume the using for computations the server resources only. However, some researchers underline that it is possible way to transmit the executable code to the client for client-side computations and geoprocessing [Keens at al., 2007]. Also, some general Web architecture concepts assumes the effectiveness of client-side computations, e.g. Fog Computing concept [Hong at al., 2013]. Our practical experience also shows that in some cases it is useful to have ability of client-side geoprocessing, which is not opposite but complement technology to the server-side processing technologies. In addition, we believe that it is more useful to have the ability to run the same processing tool by choice on server or client side. We name such double-sided services as Hybrid Geoprocessing Web Services (HGWS) [Panidi, 2014]. We study and discuss the approaches to fill the gap of client-side geoprocessing general schema. For this purpose, we implemented previously the getProcess request as addition to the WPS protocol [Panidi, 2014]. Additionally at the previous steps of our study, we proposed a possible structure of getProcess request and draft XML...https://video.osgeo.org/videos/embed/3081c3dc-2542-42c7-acd0-f092ca27b213https://video.osgeo.org/w/w8ToatFWtLg9yC4x1tgN7Yhttps://video.osgeo.org/lazy-static/thumbnails/37a1f096-e935-4cdb-b0dd-7d54381b77c2.jpgA Cross National Comparison on the Awareness of Adopting FOSS4G to NSDI in Developing Countries—J...A Cross National Comparison on the Awareness of Adopting FOSS4G to NSDI in Developing Countries — Junyoung Choi (Korea Land and Housing corporation), Hyuntae Kim, Jaeseong Ahn Spatial data infrastructure (SDI) plays an important role in the sharing and exchange of spatial information of the country, in this way, it has also played a major role in the development of the country's economy and society. In recent years, FOSS4G (Free Open Source Software for Geospatial) provides functionalities that are not inferior to commercial software, which lead to the diffusion of that software to the public and private sectors. Developing countries which have poor information infrastructures, there are increasing discussions about the adoption of FOSS4G to their national spatial data infrastructure (NSDI) in order to utilize the benefits of the foundation. As the benefits of FOSS4G adoption, it has suggested the low introduction cost and interoperability of software that does not depend on the specific software. But there are differences on the pros and cons of FOSS4G adoption to their NSDI because each country has their own economic and technological development stages and cultural and institutional differences. In this research, we will develop the framework to compare and evaluate the relationships between indicators on the developing countries' economic, technological development and factors in the introduction of FOSS4Gs to their NSDI and conduct a survey on the developing countries’ FOSS4G adoption to their NSDI with the help of UN GGIM(United Nations Global Geospatial Information Management) and KOICA. Thus, by comparing and evaluating each country's FOSS4G adoption to NSDI according to their countries' economic and technological development stage, we will identify the awareness of the adoption and propose a deployment strategy for overcoming the disadvantages when developing countries consider the introduction of FOSS4G to their NSDI.https://video.osgeo.org/videos/embed/f40c0813-b8b4-42a7-8d14-ca4264b2e454https://video.osgeo.org/w/w5mPRFXY7LweYi6wL2sEGehttps://video.osgeo.org/lazy-static/thumbnails/eeaac8b0-3480-4a2a-9cfd-bdc24e2ba437.jpgAnalysing the Performance of NoSQL vs SQL Databases with Respect to Routing Algorithms. — Sarthak...With the increased shift towards GeoSpatial Web Services on both the Web and mobile platforms especially in the user­centric services, there is a need to improve the query response time. The traditional routing algorithm requires server to process the query and send the results to a client but here we are focussing on query processing within the client itself. This paper attempts to evaluate the performance of an existing NoSQL database and SQL database with respect to routing algorithm and evaluate whether or not we can deploy the computations on the client system only. While SQL databases face the challenges of scalability and agility and are unable to take the The advantage of the abundant memory and processing power available these days, NoSQL databases are able to use some of these features to their advantage. The non­relational databases are more suited for handling the dynamic rise in the data storage and the increased frequency of data accessibility. For this comparative study, MongoDB is the NoSQL engine while the PostgreSQL is the chosen SQL engine. The dataset is a synthetic dataset of road network with several nodes and we find the The distance between source and destination using various algorithms. As a part of paper The implementation we are planning on using pgRouting for the analysis which currently uses PostgreSQL at the backend and implements almost all the routing algorithms essential in practical scenarios. We have currently analyzed the performance of NoSQL databases for various spatial queries and have extended that work to routing. Initial results suggest that MongoDB performs faster by an average factor of 15x which increases exponentially as the path length and network data size increases in both indexed and non­indexed operations. This implies that non­relational databases are more suited to the multi­user query systems and has the potential to be implemented in servers with limited computational power. Further studies are required to i...https://video.osgeo.org/videos/embed/f38df804-2438-46b6-88a0-a4f8af6f7e15https://video.osgeo.org/w/aeLNefxbkVpyJmi8WBs4Xhhttps://video.osgeo.org/lazy-static/thumbnails/c220dc09-71f6-4f4c-bb93-68ea0c4dee03.jpgAn Evaluation of Open Source Geographic Information Systems Routing Tools in Direct Vaccine Deilv...An Evaluation of Open Source Geographic Information Systems Routing Tools in Direct Vaccine Deilvery in Kano State, Northern Nigeria. — Kehinde Adewara (eHealth Africa) In view of recent proliferation of online/desktop routing tools (such as qgis road graph plugin, osm routing machine, google maps engine, routexl, OpenRouteService etc), it is imperatives to provide empirical evaluation of comparative strength and weakness of a number of predominant routing algorithms. This is crucial in view of its implication on the success and otherwise on routing related projects such as supply chain logistics, supply/delivery operations, and emergency services, among others. In this paper, comparative evaluation of these tools has been carried out in terms of weaknesses and strength with respect to healthcare delivery service through routine vaccine delivery in Kano, Nigeria. Kano state being one of the states in Nigeria with huge burden of health challenges with records of 3062 maternal death between 2005 – 2010 (Ibrahim, 2014). Thus vaccine delivery is one of such healthcare delivery programme used to addressing some of these health challenges. The primary objective of this paper is to demonstrate comparative advantage of using open source applications to optimize the vaccine delivery process such that there would be significant reduction in logistics and manpower (travel time I.e travel route distance, road type/quality, traffic and travel speed, vehicle/driver, delivery schedule, among other parameters). The capacity of few selected routing tools was evaluated against this backdrop. Hence drive test analysis was carried on selected number of delivery routes and the results were compared with values derived from routing using these tools. QGIS routing tool is the only desktop tool using OSM vector base map and a routing plugin (road graph) while others such as Google Map Engine, OpenRouteService, OSM Routing Machine, and RouteXl were all online platform. The drive test res...https://video.osgeo.org/videos/embed/4ace862b-f430-4254-85e4-c1e110d3d332https://video.osgeo.org/w/g9FZKn6SY5J6jzPT95ts8hhttps://video.osgeo.org/lazy-static/thumbnails/e8a296f1-663b-4620-a5d8-4cd28e8181a6.jpgMapCache: Fast and Featureful tile serving from the MapServer project — Thomas BonfortMapCache is a tiling server component designed to be efficient while still comprising all the features expected from a modern tiling solution. This presentation will give a brief presentation of the MapCache tiling solution, along with the recent developments that were added to reply to the needs of large scale installations (cache replication, load balancing, failsafe/fallback operations, large cache management, etc...)https://video.osgeo.org/videos/embed/7aafada2-14ac-41d4-81fb-49c3c3fc6006https://video.osgeo.org/w/3BWDsqudqcRjQVjzisCTdQhttps://video.osgeo.org/lazy-static/thumbnails/881b984e-2ec6-497a-955e-c608c8b11f7d.jpgTaking dynamic web mapping to 1:100000 scale — Alejandro MartínezCartoDB is growing to be one of the biggest mapping platform for the masses, being powered by a fully open-source stack, with PostgreSQL, PostGIS, Mapnik and Leaflet at its core. Our aim is to democratize map and geographical data visualization, making it easy for non-GIS people to create simple maps using the CartoDB Editor, but still keeping all the power and flexibility of the underlying components available to advanced users, with a variety of building blocks ranging from the frontend with CartoDB.js and Torque to the backend with the Map, SQL and Import API, parts of what we call the CartoDB Platform. Serving dozens of millions of map tiles daily has its own set of problems, but when they are being created by hundreds of thousands of users (which have their own database and can alter everything from styling, to the data sources and the SQL queries applied) everything turns out to be a big source of challenges, both development and operationally speaking. This talk will go through our general architecture, some of the decisions we’ve had to take, the things we’ve learned and the problems we’ve had to tackle through the way of getting CartoDB to scale at our level of growth, and how we're giving back to the community what we've discovered though the process.https://video.osgeo.org/videos/embed/1536fc66-06b4-4d6d-adae-3f397464f234https://video.osgeo.org/w/cr3UjsYTNciMyVRwVSovVWhttps://video.osgeo.org/lazy-static/thumbnails/f3a0a03b-d856-4d91-a231-681cf7ca43fb.jpgAdvanced Security with GeoServer and GeoFence — Andrea Aime, Simone GiannecchiniThe presentation will provide an introduction to GeoServer own authentication and authorization subsystems. We’ll cover the supported authentication protocols, such as from basic/digest authentication and CAS support, check through the various identity providers, such as local config files, database tables and LDAP servers, and how it’s possible to combine the various bits in a single comprehensive authentication tool, as well as providing examples of custom authentication plugins for GeoServer, integrating it in a home grown security architecture. We’ll then move on to authorization, describing the GeoServer pluggable authorization mechanism and comparing it with proxy based solution, and check the built in service and data security system, reviewing its benefits and limitations. Finally we’ll explore the advanced authentication provider, GeoFence, explore the levels on integration with GeoSErver, from the simple and seamless direct integration to the more sophisticated external setup, and see how it can provide GeoServer with complex authorization rules over data and OGC services, taking into account the current user, OGC request and requested layers to enforce spatial filters and alphanumeric filters, attribute selection as well as cropping raster data to areas of interest.https://video.osgeo.org/videos/embed/5c93e86f-ced1-44e9-bf07-c265eb614efchttps://video.osgeo.org/w/htc6paifPJAuF5FbQmrWx6https://video.osgeo.org/lazy-static/thumbnails/a5420469-b0ea-4076-b48e-4d4e710281b2.jpgMapWindow Plug-in of GRM Model Using Open Source Software—Yunseok Choi, Youngho Je, Kyungtak KimThis presentation shows the processes and methods for developing distributed rainfall-runoff modeling system using open source softwares. The objective of this study is to develop a MapWindow plug-in for running GRM (Grid based Rainfall-runoff Model) model (MW-GRM) in open source GIS software environment. MW-GRM consists of the GRM model, physically based rainfall-runoff model developed by Korea Institute of Civil Engineering and Building Technology (KICT), for runoff simulation, pre and post processing tools for temporal and spatial data processing, and auto-calibration process. Each component is integrated in the modeling software (MW-GRM), and can be run by selecting the MW-GRM menus. In developing MW-GRM, free software and open source softwares are used. GRM model was developed by using Visual Basic .NET included in Microsoft Visual Studio 2013 express, pre and post processing tools were developed by using MapWindow (Daniel, 2006) and GDAL (Geospatial Data Abstraction Library), and PEST (John, 2010) model was used in the auto-calibration process. The modeling system (MW-GRM) was developed as MapWindow plug-in. System environment was Window 7 64bit. MapWindow GIS ActiveX control and libraries were used to manipulate geographic data and set up GRM input parameters. ESRI ASCII and GeoTIFF raster data formats, supported by MapWindow and GDAL, were applied and shape file (ESRI, 1997) was used in vector data processing. GDAL is a library for translating vector and raster geospatial data. In this study, GDAL execution files were used to develop pre and post processing tools. The tools include data format conversion, spatial interpolation, clipping, and resampling functions for one or more raster layers. PEST is a model-independent parameter estimation software. Parameter estimation and uncertainty analysis can be carried out using PEST for model calibration and sensitive analysis. PEST is developed as an open source software, and single and parallel execution files ...https://video.osgeo.org/videos/embed/855e22ff-74c2-4645-8130-7e3cd9a89fcbhttps://video.osgeo.org/w/bWbjctDJ5XX1wM5QC6mA8uhttps://video.osgeo.org/lazy-static/thumbnails/de3cdfb7-cfaa-4393-bfc7-3419d38b1e21.jpgHow can the students get Geospatial Information and make a map by using the […]We propose one of the practical case that the students are able to handle Geospatial Information and to make a map by using the FOSS4G. In recent years, the informatization of education is progressing in Japan. Its aim is to distribute one information device per one child in 2020 by informatization of education. However, it is not easy to implement the information device as the educational method. It is the same situation with respect to geographic information technology for education. From such a background, we founded the NPO in order to help the school by using a geographic information technology in 2011. We have carried out some of technical workshops for teachers, development of GIS teaching materials, and the provision of curriculum. Especially it is important to use geographic information technologies in geographical and historical education. In the classroom of geography and history, students can understand with realistic by using the GIS teaching materials. Therefore, we provide the teaching materials created by GIS for teachers or students. GIS can develop the teaching materials to maximize the imagination of students. Mainly, we have been using QGIS in the development of teaching materials. The KML file is an output from QGIS. The method is to provide database system in web by KML file materials. The name is OpenTextMap. The FOSS4G have been effective in this activity. Our goal in this talk is to share the educational practice by FOSS4G to other people.https://video.osgeo.org/videos/embed/588be800-8881-425e-a03b-1847850f2e6ahttps://video.osgeo.org/w/kx2mcsv9YeYr7nVxA4iL3Uhttps://video.osgeo.org/lazy-static/thumbnails/dd5ad80a-217d-4ac2-9200-ee03c5aba07d.jpgUN-LH Opening Congratulatory Speech — In-Keun LeePower your marketing strategy with perfectly branded videos to drive better ROI.https://video.osgeo.org/videos/embed/9e3285b4-ac57-4f96-9977-5e8968a51930https://video.osgeo.org/w/dExeTEJ9T3nSrHUDa5h8Pphttps://video.osgeo.org/lazy-static/thumbnails/40953b92-37c5-4157-87e0-244804a4fc76.jpgUN-LH Welcome Speech — Jeff McKennaPower your marketing strategy with perfectly branded videos to drive better ROI.https://video.osgeo.org/videos/embed/668f2de0-4e5c-4c89-9c37-c88efa4dcc59https://video.osgeo.org/w/mie9xQpJTLdQTSADcMygxrhttps://video.osgeo.org/lazy-static/thumbnails/f80da733-a5ef-442c-8a1f-92267fef5207.jpgUN-LH Keynote speech 1 — Kyoung-soo EomPower your marketing strategy with perfectly branded videos to drive better ROI.https://video.osgeo.org/videos/embed/a45e8508-66b0-477b-bd0f-56c84b6ff72bhttps://video.osgeo.org/w/cCUyEAkQe2wjDd2f2nVKzyhttps://video.osgeo.org/lazy-static/thumbnails/6d85b47d-fe3d-445e-b1b1-56b627f918d0.jpgLightning Talk 2 Point cloud: The Musical — Ivan Sanchez, MazeMapPower your marketing strategy with perfectly branded videos to drive better ROI.https://video.osgeo.org/videos/embed/5e3bb1b7-1fc1-4534-9e45-adcdee6b46dehttps://video.osgeo.org/w/w5PK7KYgfVf6wkdzmszrg6https://video.osgeo.org/lazy-static/thumbnails/93a7e92f-8cfd-4541-9e68-487ca589f9ac.jpgProposal of Water Pollution Sources Management based on Open Source GIS — Han KangKorea is managing the water pollutants in the national institute of environmental research part of the ministry of environment. The national institute of environmental research is managing which was classified pollution of domestic, industry, livestock, aquaculture industry, land, basic environmental foundational facilities through investigation of pollution source all over the country, The national institute of environmental research, in order to efficiently manage the vast amounts of data, it is a graft of a variety of ways. Currently, methods are on the way of development for the management of the National source material through the GIS. In particular, a module of Plug-in form is developing by utilizing QGIS. In addition, data verification method is developing to check and confirm the national pollution source data. Also, the procedure of data verification and examination based on Open Source GIS were developed and utilized on the actual projects. The water pollution sources is managed efficiently utilizing Open Source GIS. Especially, Open Source GIS is introduced on government management plan and gradually utilized and with the case presentation like this, utilizing Open Source GIS can be discussed at the national level. Through such cases, it is possible to know that you Open Source GIS introduced at the national level.https://video.osgeo.org/videos/embed/f39e8ecb-3389-4690-a8f8-c0c89690ae77https://video.osgeo.org/w/anYuiwHS7VDrLE2jSCYmhChttps://video.osgeo.org/lazy-static/thumbnails/fc68c3e5-99ff-447e-9084-18c3d69942bf.jpgMapServer Status Report — Thomas Bonfort, Stephan Meissl, Daniel MorissetteMapServer version 7.0 is being released in 2015. This presentation will summarise the new and notable features that have been added in this major version, along with some insights as to what's coming up in future releases.https://video.osgeo.org/videos/embed/4bf3add6-bf8b-405c-a27f-17b50413a7d4https://video.osgeo.org/w/4EwRiuLSDrVeS7iMrfhASuhttps://video.osgeo.org/lazy-static/thumbnails/39f4fa30-d710-45c5-9a23-9631fd79716e.jpgQGIS Plugins - From Must-Haves to insider tips — Pirmin KalbererOne major strenght of QGIS is its easy but comprehensive extensibility with Python plugins. This talk shows a selection of more than 25 plugins covering many areas of use. Included are Must-Haves like the well known Open Layer plugin, less known core plugins like offline editing and insider tips like the Remote debugging plugin for developers.https://video.osgeo.org/videos/embed/1dacb0f5-784d-424c-b710-264a653a91f8https://video.osgeo.org/w/m1J1a6BYtoHyURYyh3hfkLhttps://video.osgeo.org/lazy-static/thumbnails/9e5589a2-6769-4c2c-9832-d62cffc3845f.jpgProtecting the Planet with Postgis — Miguel TorresProtecting the Planet with Postgis: How we are calculating complex protected area coverage statistics for all countries in the world. — Miguel Torres ProtectedPlanet.net is the online interface for the World Database on Protected Areas (WDPA), a joint project of IUCN and UNEP, and the most comprehensive global database on terrestrial and marine protected areas. The WDPA is released every month and consists of a point and polygon dataset of over 210 000 entries. Over 91% of this data is in polygon format and the remaining 8% are points that can have an area as attribute. Displaying protected area coverage statistics is one of the main features of this website. It is very important for the users to know what percentage of the territory is covered by protected areas in a given country, region or the entire planet. Previously, these statistics were calculated manually and every year a team spends several days calculating them for a report using ESRI Software. We had a great challenge this time: Can we automatically calculate the statistics every month for all the protected areas and countries in the entire planet? In this case time matters: if we want to calculate statistics every month, it can't take 2 or 3 days of processing. To work through this, we chose a full open source solution with PostGIS to do all the back end tasks that we need to calculate statistics. We were able to limit all this to 6 hours and we can now run automatically every month keeping coverage statistics up to date.https://video.osgeo.org/videos/embed/a210a885-6daf-4ec7-ad67-2b20f19e6812https://video.osgeo.org/w/nm11TanYSY7fGVcJfFNG3ohttps://video.osgeo.org/lazy-static/thumbnails/2494cdc5-a5c3-445d-bbf7-3bc5e583a844.jpgVisualizing Fire Department Responses with CartoDB — Paul WickmanLocal government fire departments need to demonstrate their performance and efficiency. In this session we will show how CartoDB and Torque are being used to visualize fire department responses to emergency events throughout the city allowing city officials to better understand how they are performing. We will also briefly discuss why routing based on Open Street Maps is not yet sufficient enough to be used for this analysis. Effective Response Force (ERF) is one method that fire departments use to measure their level of success. An ERF is a set of specific resources required to perform a particular task within a set amount of time. For example, the Effective Response Force for a residential building fire, which is less than 200 square meters in size, needs to be four fire engines, one ambulance and a fire chief. These resources may be coming from different fire stations; they may be coming directly from other emergency events. They may even come from neighboring cities. Using CartoDB and Torque we can visualize several things; the expected travel routes each of these resources may have taken, compare these routes to expected “drive-times” based on GIS road network analysis and also show the order in which each of these resources arrived at the destination.https://video.osgeo.org/videos/embed/acdacbf0-19d1-4791-837d-beb18bd2748ahttps://video.osgeo.org/w/un9XVNCaZLfBcduE8q7Y9fhttps://video.osgeo.org/lazy-static/thumbnails/7384f8d3-05be-4d89-ade9-ffefd2ed3c52.jpgRevolutionizing map use in Norwegian newspapers — Kjartan BjørsetNorway represents one of the countries with most newspapers and media outlets per person. One topic that has an everlasting interest is land registration data - or more commonly: Who bought which properties and what was the price. Land registration data has always been a public data set. Every citizen can request specific information on who has rights to which properties. Up until 1. January 2014 the digital version of this data set was monopolized by law to one vendor - obviously inhibiting innovation. Starting in 2014 - land registration data has been opened and is now accessible to everyone. Webatlas seized this opportunity and hired two summer interns. The task was fairly easy: "Revolutionize the way land registration data is used in local newspapers." After two hard-working months the resulting web application was used by a local newspaper with great results. The newspaper could finally showcase an interactive leaflet map displaying all real estate transactions in the area of interest. Behind the scenes the interns experienced a steep learning curve using PostGIS, GeoServer, Leaflet and a range of excellent plugins. Some of the more stable parts made it to the general use with an Open Source license on GitHub. Today. The solution is used in the majority of Norways newspapers - now showcasing more maps than ever! All made possible by two excellent interns, open data sets and well proven Open Source software components.https://video.osgeo.org/videos/embed/e5b406ad-0056-4b45-bc6f-011271cdc90ehttps://video.osgeo.org/w/pP8S2STUT1BLRyr315c3MXhttps://video.osgeo.org/lazy-static/thumbnails/5dea6f80-d984-4436-9b42-f5e88882bb1e.jpgIntelligent SDIs with MapMint 2.0 — Gérald Fenoy (GeoLabs), Nicolas Bozon, Venkatesh RaghavanThis conference aims at presenting the status of the MapMint open source project and its upcoming 2.0 version. The upgrade to newer versions of its core open source components will first be explained. The extensive use of OGC standards through ZOO-Project 1.5, GDAL 1.11 and MapServer 7 is indeed making MapMint an even more stable and efficient foundation to build an open source and standard-compliant spatial data infrastructure. The new metadata related functionalities being developed in interaction with PyCSW and CKAN will also be presented along with the assets of the CSW standard support. The new MapMint responsive user interfaces based on OpenLayers 3 and Bootstrap will also be presented. Both code and documentation improvements will also be detailed. The newly added functionalities in MapMint 2.0 will finally be explained from the developer and user point of views, based on case studies and live examples.https://video.osgeo.org/videos/embed/c0d6fdec-3b17-443b-b136-c49800b20da9https://video.osgeo.org/w/mnYn6DhQDxdTcKkLPDn3nuhttps://video.osgeo.org/lazy-static/thumbnails/a609f2a9-961c-48c7-99f4-4f3afa5f26ff.jpgMetadata Management for Spatial Data Infrastructures — Kim DuranteThis presentation will focus on creating geospatial metadata for spatial data infrastructures. The growing emphasis on data management practices in recent years has underscored the need for well-structured metadata to support the preservation and reuse of digital geographic information. Despite its value, creation of geospatial metadata is widely recognized as a complex and labor-intensive process, often creating a barrier to effective identification and evaluation of digital datasets. We will discuss our set of best practices for describing a variety of spatial content types using the ISO Series of Geographic Metadata Standards. We will share a series of Python and XSLT routines, which automate the creation of ISO-compliant metadata for geospatial datasets, web services, and feature catalogs. These auto-generation tools are designed to work directly with XML documents, making them suitable for use within any XML-aware cataloging platform. Our goals are to make metadata creation simpler for data providers, and to increase standardization across organizations in order to increase the potential for metadata sharing and data synchronization among the geospatial community.https://video.osgeo.org/videos/embed/a50820b5-0e12-4da5-a30b-378290ed9f9ehttps://video.osgeo.org/w/cgobhGucaMMyknjmZPBT7ghttps://video.osgeo.org/lazy-static/thumbnails/2afa8c97-f508-4c4d-9fba-7eb854cfa1c7.jpggeOrchestra, a free, modular and secure SDI — Francois Van Der Biest (Camptocamp), Florent Gravin...geOrchestra is a free, modular and secure Spatial Data Infrastructure software born in 2009 to meet the requirements of the INSPIRE directive in Europe. Initially covering Brittany, then France, geOrchestra now spreads worldwide with SDIs in Bolivia, Nicaragua, Switzerland and India. The presentation will go through the following subjects: * quick and precise description of the key features * where we come from and where we are going to * technical description of the software architecture (including SSO & security proxy) * from an infrastructure point of view, how we scale to handle the load (using Puppet and OpenStack) This talk is for anyone with an interest in SDIs, and "real world" SDI deployments.https://video.osgeo.org/videos/embed/5b3a595e-e7d3-4fc6-ad46-119525667e9fhttps://video.osgeo.org/w/m1fbuxDiDqw3BuH71QZFyahttps://video.osgeo.org/lazy-static/thumbnails/5642ba08-efcb-4804-aa10-ecb9ee6000d4.jpgUN-LH Panel discussionModerator: Jyngwhan Seong Panel: Kais Zouabi Guillaume Criloux Maria Antonia Brovelli Youngmi Kim Jungil Kimhttps://video.osgeo.org/videos/embed/a1ff8332-83e3-443b-b66f-97423a5403adhttps://video.osgeo.org/w/wG4e9kX73nRmC9rkkuLvrzhttps://video.osgeo.org/lazy-static/thumbnails/bb860d04-3d82-4921-bf0b-82a2d0edc7a1.jpgUtilizing Free Open Source Software and Open Data in the Crop Suitability Analysis of Adlai for C...Utilizing Free Open Source Software and Open Data in the Crop Suitability Analysis of Adlai for Climate Change Adaptation—Glenn Depra(Ateneo de Davao University), Albert B. Jubilo, Aurecel Laplana-Alejandro With 43,000 square kilometers of rice producing farm lands, the Philippines is considered as the largest rice importer in the world according to World Rice Statistics (2008). The increasing demand for imported rice in the country has been largely attributed to topography, underutilized farm infrastructures, typhoons and rapid population growth. Given the need to supply a stable food source to Filipinos, the Department of Agriculture (DA) has been studying the feasibility of the mass production of Coix lacryma-jobi L or Adlai, a traditional food source abundantly grown by indiginous people in the country for centuries. In contrast to rice, Adlai is naturally resilient to pests, diseases, droughts and floods, and does not need irrigation. In its study, the Department of Agriculture wanted to evaluate the adaptability of Adlai in different parts of the country for it to become a complementary staple food for Filipinos. The results of the tests in four regions (II, IV, V, and IX) have been very promising. The study found that Adlai does not need fertilizers and insecticides, it can survive with minimal rainfall, and it can be planted in upland areas. To complement the current work of the Department of Agriculture, this study aims to map the agro-edaphic zones or the areas that are suitable for the cultivation of Adlai. It will apply free open source software (QGIS) and open data sources (ASTER GDEM, PhilGIS, and DA). The selected set of variables (slope, elevation, and soil order) will be cross tabulated, and the result will represent generalized classes of associated soil orders in combination with both elevation and slope. The result of this study could then be utilized by the Department of Agriculture to determine areas in Region 11, excluding the arable land f...https://video.osgeo.org/videos/embed/f889e629-b42b-4007-993f-6862c4f51f9fhttps://video.osgeo.org/w/aKak27923fWpmNt9Rg4E3Whttps://video.osgeo.org/lazy-static/thumbnails/7089bdc7-a101-4764-b016-de8a285fb00b.jpgGeopaparazzi, state of the art — Hirofumi Hayashi, Andrea Antonello, Silvia FranceschiGeopaparazzi is an application for fast field surveys. Its simplicity and the possibility to use it on as good as any android smartphone makes it a trusty field companion for engineers and geologists, but also for tourists who wish to keep a geodiary and any user that needs to be aware of his position even in offline mode. In Geopaparazzi it is possible to create text, picture and sketch notes and place them on the map. Notes can also be complex and form based in order to standardize surveys in which many people need to be coordinated. In the last years the support for the visualization of spatialite vector layers and recently also editing possibilities for spatialite poligonal datasets has been added, allowing for some simple-yet-powerfull possibilities on vector data. Desktop tools are supplied to bring datasets from the GIS environment to Geopaparazzi and back. The presentation will focus on the most important features of Geopaparazzi as well as the latest additions to the application in order to give a complete idea of the state of the art of the project.https://video.osgeo.org/videos/embed/4ee8fa84-54e8-47ed-a50f-06f0e686798ahttps://video.osgeo.org/w/nWNMA5YBmoySuBMaT1DYvwhttps://video.osgeo.org/lazy-static/thumbnails/b1ec895e-01a9-4492-91e7-a3d97745c1ce.jpgModeling of terminology database in field of Geodesy and Geographic information system — Zolzaya ...Modeling of terminology database in field of Geodesy and Geographic information system — Zolzaya Lkhamsuren, Bayarmaa Enkhtur, Ochirkhuyag Lkhamjav Recently in Mongolia, many techniques and methods are being applied to the surveying and mapping fields along with the development and innovation of geodetic surveying technology, more new terminology are being used in those area. Despite of the origin of the terminology that came from or which language it’s being translated, those new words need to be interpreted by concerning the exact meaning of the word and what this word is actually referring to. However, in Mongolia, there’s no legal framework including regulation and standards of terminology and professional word translation. Consequently, a single term is being used with various meanings in many organizations, companies and so on. And also an ambiguous meaning of the term has been aroused and leads to wrong definition and idea. Due to this, lack of use of the terminology influences negatively on not only surveying and mapping field, but social areas as well. In order to solve this issue, study aims to create glossary database based on development of the terminology dictionary of geodesy and geographic information system through dynamic web design. In this study, many research methods have been carried out including, literature review based on the Dr. Damdinsuren (2013)’s “Glossary for Geodetic Terms”, textbooks and other materials of surveying and geospatial in English, Mongolian and Russian, as well as in print and online dictionaries, surveying questionnaire on usability and quality of professional terminology and dictionary and their applications within academia, professors, students, civil servants and private companies’ engineers, and SWOT analysis on printed and online dictionaries. Surveying questionnaire resulted that 20 per cent of 150 questionnaire use professional textbooks, which are printed in the Mongolian language, 45 per cent use Russian and 35...https://video.osgeo.org/videos/embed/b1b6e888-8951-4b33-80d5-1e8e93b510f8https://video.osgeo.org/w/roYaKjiHDu85ubjgQaGn2nhttps://video.osgeo.org/lazy-static/thumbnails/1c1d25d3-4deb-4466-8059-0d388c32e070.jpgOpenAerialMap: A Distributed Commons for Searching and Hosting Free Imagery — Kate ChapmanAerial imagery is a core base of many mapping related projects. With the increase in the use of Unmanned Aerial Vehicles (UAVs), lower cost satellites and more generally openly licensed imagery, there is a need for one place to search and access that imagery. This is a big undertaking, and certainly can't be left in the hands of a single company or organization. OpenAerialMap (OAM) addresses these issues with transparency and open access. A project for 10 years, OAM has been relaunched as of 2014. Now under active development, a dedicated open-source community is emerging. This presentation will cover the following topics: * The general architecture of OAM * How to contribute data directly to the system or by hosting your own node * The future road map and how volunteers can contributehttps://video.osgeo.org/videos/embed/cda971b9-07b2-4238-b71c-2524a9d572d3https://video.osgeo.org/w/p7JRZa4qoUjfvfFN7hnWPBhttps://video.osgeo.org/lazy-static/thumbnails/ade54392-e89e-4c34-830c-dc75d92353d3.jpgNew Geoprocessing Toolbox in uDig Desktop Application Framework — Minpa Lee, KiWoong KimuDig is an open source (EPL/BSD) desktop application framework, built with Eclipse Rich Client (RCP) technology. This presentation shows new geoprocessing toolbox in uDig desktop application framework.https://video.osgeo.org/videos/embed/bb3310fb-3ecd-4e7e-9b8f-737e0fde2969https://video.osgeo.org/w/je2XQ2VP2nJxvbMWaHvawvhttps://video.osgeo.org/lazy-static/thumbnails/2ba74f6b-af51-4262-a9ee-72bcfb967423.jpgGeodata for Everyone - Model-driven development and an example of INSPIRE WFS service — Meixia FengIn denmark the public authorities register various core information about individuals, businesses, real properties, buildings, addresses, ect.. This information is re-used throughout the public sector. It is a challenge for public authorities to re-use data from different providers to perform their tasks properly and efficiently across units, administrations and sectors. Therefore all the authoritative basic data should be defined and standardized according to the same methods. Danish Geodata agency as Denmark's central public source of geographic data has established a set of guidelines for future modelling of spatial data for distributing them as open geographic data. Based on the guidelines a model-driven process has also been established. It starts from the data modelling in UML to the end where data are distributed through WFS services and download services. One INSPIRE WFS service will be used as a concrete example.https://video.osgeo.org/videos/embed/93965fd5-dbba-42d2-9074-989122b02fe5https://video.osgeo.org/w/d7XMd1WjZQ3f4Q2cwXPYqdhttps://video.osgeo.org/lazy-static/thumbnails/1335866c-64bf-4a7f-8aca-8f514b1a2b28.jpgMobmap as a visualization platform for spatio-temporal data — Hiroaki Sengoku, Satoshi UeyamaMobmap is a visualization platform for spatio-temporal data easily and simply. This next generation GIS tools is released as a Google Chrome application for anyone. Recently, location data tend to be available to the public. This origin starts with the spread of iot devices including smartphone and open data such as aerial photos or satellite imageries. However, time series data analysis and visualisation on map tend to be unsupported by general gis software and libraries. Mobmap enables users to deal with time series location data. This presentation shows the summary and demos of Mobmap using several data examples such as simulated people flow data from geo tagged tweets and estimated building age transition data from multi temporal aerial photos, estimated future population.https://video.osgeo.org/videos/embed/62268078-6bd0-4e9f-bbde-130877109f24https://video.osgeo.org/w/76A95AF4T1rWqofA57fjpPhttps://video.osgeo.org/lazy-static/thumbnails/76643bb8-3316-4c00-835a-c156a045d249.jpgAccelerating GeoSpatial Data Analytics With Pivotal Greenplum Database — Kuien Liu, Yandong YaoAs a typical big data application, geospatial analysis nowadays has been receiving extensive attention from both academic and industrial domains. Along collecting massive geospatial data, more and more manufacturers as well as research institutions find that the analysis over geospatial data in existing legacy architecture cannot be scalable. The reason is typical two-fold. On one hand, extending traditional databases to support modern complex geospatial data analytics is rather challenging. On the other hand, integrating the emerging techniques in other big data applications to traditional databases may suffer from compatibility issue, resulting in the poor performance or even painful debugging tasks. Specifically, most of today’s general-purpose relational databases (e.g., Oracle, Microsoft SQL Server, together with their geospatial components) are particularly designed as OLTP systems. Their shared-disk or shared-everything architectures are especially optimized for high-throughput transaction execution while sacrificing analytical query performance. In contrast to the exiting relational database systems, Pivotal offers the Greenplum Database (GPDB), which is an extensible relational database platform that uses a shared-nothing, massive parallel processing (MPP) based architecture to vastly accelerate the online analytical processing (OLAP) over geospatial big data. Even better, GPDB can seamlessly integrate in-database analytical processing with our extended analytics stacks, such as heterogeneous Hadoop environments and in-memory data grid. Recent reports from Gartner highly scored Pivotal GPDB on data warehousing and analytics. We design and develop geospatial analytics toolkits on GPDB in terms of three aspects. First, we migrate the latest PostGIS project into GPDB so that GPDB is able to run as a spatial database system for regular GIS users. Second, we extend the spatial component with various types of advanced geospatial functions, such as geospatial g...https://video.osgeo.org/videos/embed/315e9703-ab5c-4393-90a1-97df0a57d27dhttps://video.osgeo.org/w/gWqjrAEejpfTvM45LSebZmhttps://video.osgeo.org/lazy-static/thumbnails/56a19a55-4446-4f29-9b5a-7f1f341243a5.jpgOGC GeoPackage in practice: Implementing a new OGC specification with open-source tools—Nathan Fr...GeoPackage is a new encoding standard created by the Open Geospatial Consortium as a “modern alternative to formats like SDTS and Shapefile.” Using SQLite, the single-file relational database can hold raster imagery, vector features and metadata. GeoPackage is an ideal data container for mobile devices such as smartphones, IoT devices, wearables, and even automobiles. We have created a few open-source tools to manipulate this exciting technology in a way that is useful to the geospatial community. Our goal with the GeoPackage specification implementations is simple: Create GeoPackages quickly and reliably while maintaining standard conformance. The single biggest issue we have faced is the speed in which large amounts of imagery can be disseminated to the end user. Data standards reliability was also a concern because we found many vendors interpreted the specification differently or to suite their own needs. Finally, the main problem GeoPackage was created was to solve was interoperability. We set out to create an implementation that would guide other parties towards making a data product that would function as well on one platform as it would on a completely different platform. Our initial implementation of the GeoPackage specification was created using Python 2.7.x. The software design was intended for command line use only in a script-friendly environment where tiling speed was paramount. The Gdal2tiles.py script was improved upon by harnessing the Python multiprocessing library so that multiple tile jobs could run simultaneously. The other piece of the workflow, creating GeoPackages, would be a separate development effort from scratch called tiles2gpkg_parallel.py. In tiles2gpkg_parallel.py, we implemented multiprocessing by writing to separate SQLite databases in parallel and then merging the tiled data sets into one compact database. This implementation worked well and increased the performance of producing these data sets; however, the command line design...https://video.osgeo.org/videos/embed/81123ade-1a48-42f7-87f5-00c71626cc8ehttps://video.osgeo.org/w/b73moKnKZHLw4j66DcS9gkhttps://video.osgeo.org/lazy-static/thumbnails/b4a0b106-27c8-4e54-83cd-613fdc963d3f.jpgngeo: a companion library for OpenLayers 3 — Eric Lemoine (Camptocamp), Florent Gravinngeo is an open-source JavaScript library that aims to ease the development of web GIS applications based on AngularJS and OpenLayers 3. More specifically, ngeo provides Angular components, namely "services" and "directives", that can be combined together in different ways, based on the need of the application. This talk is a general presentation of ngeo. We will present some of the features provided by the library, through concrete examples. We will also present the design choices we have made, and why we have made this design choices. AngularJS, as a very popular framework, has received (severe) criticism lately. We will report on our experience with AngularJS, discuss its "good parts", and how we mitigate its "bad parts". With ngeo we define – what we think – is a good way to use AngularJS. ngeo, for example, includes guidelines for application developers, which have turned out to be key for the development of robust and high-performance applications. This talk is for anyone interested in AngularJS and OpenLayers 3. Come to this talk if you're interested to know how we use ngeo to develop applications combining AngularJS and OpenLayers 3.https://video.osgeo.org/videos/embed/51d34c66-7811-4664-a96f-5f655b2cd3f9https://video.osgeo.org/w/aBVB6G2XHkMGiiJtdcp5SJhttps://video.osgeo.org/lazy-static/thumbnails/c41bcf7a-4a5c-46c9-8664-87b41ef29824.jpgCadasta: Securing Property Rights with Open-Source — Kate ChapmanMuch of the world currently does not have secure property and land tenure rights. Communities and individuals need low-cost tools to enable them to advocate for themselves. The Cadasta Foundation is building an open-source platform to securely enable these groups to document their land rights. This talk will review the design decisions taken into account, the technology underlying Cadasta, and the future road map. Individuals interested in land rights management and/or the challenges in implementing technology in difficult environments will be especially interested in this presentation.https://video.osgeo.org/videos/embed/4de650b2-fb87-4b85-98ca-d0da286e3196https://video.osgeo.org/w/1SB8gAakJoe48gvmKcAeRxhttps://video.osgeo.org/lazy-static/thumbnails/8488531e-0a25-4791-b424-e5a1a2aa4905.jpgCase study: A full-fledged cutting-edge FOSS4G map production system — Jakob VentinThe development and the usage of National Land Survey of Finland's dynamic and high performance map production system is described in this presentation. The system is currently in use and serves map images both to customers and to NLSFI production systems. The data in the map production system are open data and being updated on a weekly basis. When the data get updated, a RSS-feed is generated. Based on the feed, the map products are updated. Data is stored, updated and replicated in PostGIS. Map pictures are rendered in GeoServer. The visualization of the maps is based on SLD-stylesheets. SLD-stylesheets enable the same data to be visualized in several different ways. GeoServer in conjunction with SLD-stylesheets offers a Web Map Service (WMS). Map images are delivered via a high performance MapCache Web Map Tile Service (WMTS) and as image files via NLSFI download service. The system is designed to be expandable and is currently being further developed to enable the pro-duction of on-demand printed maps.https://video.osgeo.org/videos/embed/0710d5d2-ef39-4c57-8577-7610a87d476dhttps://video.osgeo.org/w/38boPkHbHQ8qYiiqtQhFSLhttps://video.osgeo.org/lazy-static/thumbnails/d66a5395-2d56-413e-bec3-bfc59502a704.jpgOpen Source and Open Standard based decision support system: the example of lake Verbano floods […]Open Source and Open Standard based decision support system: the example of lake Verbano floods management. — Massimiliano Cannata (SUPSI), Milan Antonovic The Locarno area (Switzerland, Canton Ticino) is exposed to lake floods with a return period of about 7-8 years. The risk is of particular concern because the area is located in a floodplain that registered in the last decades a great increase in settlement and values of the real estates. Moreover small differences in lake altitude may produce a significant increase in flooded area due to the very low average slope of the terrain. While fatalities are not generally registered, several important economic costs are associated, e.g.: damages to real estates, interruption of activities, evacuation and relocation and environmental damages. While important events were registered in 1978, 1993, 2000, 2002 and 2014 the local stakeholder invested time and money in the set-up of an up-to-date decision support system that allows for the reduction of risks. Thanks to impressive technological advances the visionary concept of the Digital Earth (Gore 1992, 1998) is being realizing: geospatial coverages and monitoring systems data are increasingly available on the Web, and more importantly, in a standard format. As a result, today is possible to develop innovative decision support systems which mesh-up several information sources and offers special features for risk scenarios evaluation. In agreement with the exposed view, the authors have recently developed a new Web system whose design is based on the Service Oriented Architecture pattern. Open source software (e.g.: Geoserver, PostGIS, OpenLayers) has been used throughout the whole system and geospatial Open Standards (e.g.: SOS, WMS, WFS) are the pillars it rely on. SITGAP 2.0, implemented in collaboration with the Civil protection of Locarno e Vallemaggia, combines a number of data sources such as the Federal Register of Buildings and Dwellings, the Cantonal Register of...https://video.osgeo.org/videos/embed/1132e38c-4f92-4c85-90c7-af62cf342adchttps://video.osgeo.org/w/5Qsb4KaZ5LxS9DV55M9S4shttps://video.osgeo.org/lazy-static/thumbnails/158a1920-4f3f-4d7f-914a-e4086e55f3ca.jpgUse case of a dual open strategy in the canton of Zurich/Switzerland — Priska Haller, Pirmin Kalb...With a dual 'open'-strategy the department of geoinformation at the canton of Zurich/Switzerland opts for a strategic orientation towards open source and open data: “Open” in the sense of an open web-mapping- infrastructure based on open source components: Mapfish Appserver was developed as a framework for building web map applications using OGC standards and the Mapfish REST protocol. It is freely available under the new BSD-license (mapfish-appserver.github.io/). The Ruby on Rails gem comes with the following out-of-the box features: • Organize maps by topics, categories, organisational units, keywords and more • Combine maps with background and overlay topics with adjustable opacity • Import UMN Mapserver mapfiles to publish new topics within seconds • Fully customizable legends and feature infos • Creation of complex custom searches • Rich digitizing and editing functionality • Role-based access control on topic, layer and attribute level • Access control for WMS and WFS • Rich library of ExtJS 4 based map components • Multiple customizable viewers from minimal mobile viewer to full featured portal • Multi-site support • Built-in administration backend • Self-organized user groups maps.zh.ch, the official geodata-viewer of the canton of Zurich, was developed using Mapfish Appserver. It contains more than 100 thematic maps and is considered an indispensable working tool for everyone working with spatial data in the canton of Zürich/Switzerland. 'Open' in the sense of Open Government Data: Zurich is the first canton participating in the national open data portal opendata.admin.ch. The portal has the function of a central, national directory of open data from different backgrounds and themes. This makes it easier to find and use appropriate data for further projects. The department of geoinformatics aims to open as many geo-datasets as possible for the public by publishing them on the national OGD-portal. The open geodata is issued in form of web services – Web...https://video.osgeo.org/videos/embed/272862b7-4535-49b6-ae38-7d9e16ab7fe0https://video.osgeo.org/w/w38cCg4XNbiXy7NzFT9Tbchttps://video.osgeo.org/lazy-static/thumbnails/28166054-8b59-4209-b61b-eced66a01671.jpgDecision-making system for grants for maintaning services in rural areas — Anders Dahlgren, Joaki...Sweden is a sparsely populated country. Normally market forces would regulate the number and location of both public and commercial services as schools, medical care, grocery stores and pharmacies. In sparsely populated areas these forces does not work. The Swedish government has realized this and gives economical support to some services in order to maintain or in some cases expand the service level. The aim with this grants is to provide conditions for living, working and contribute to economic growth in these in remote areas. To be as effective as possible a decision making system has been developed to support the administrators of the grant. The system allows the administrators to monitor the current situation, update changes in the service structure and simulate fictive scenarios. The system is built on an open source platform and is available through the internet to authorized administrators on the regional level of the Swedish administration. As platform for the system the following open source projects and formats are used GeoExt, Ext JS, Openlayers, Mapfish, Pylons, GEOAlchemy, Mapserver, PostGIS, GeoJSON.https://video.osgeo.org/videos/embed/f33e15b3-24b3-49b6-aede-6de017c8328bhttps://video.osgeo.org/w/pZ2WPk7EnWBwg9z1SnkvWrhttps://video.osgeo.org/lazy-static/thumbnails/4c024e89-8c66-4874-b11a-0a13f1ed719e.jpgGeoNetwork 3 — Florent Gravin (Camptocamp), Francois Prunayre, Jeroen TichelerThe presentation will provide an insight of the new functionalities available in the latest release of the software. Publishing and managing spatial metadata using GeoNetwork opensource has become mainstream in many Spatial Data Infrastructures. GeoNetwork opensource 3.0 comes with a new, clean user interface based on AngularJS, Bootstrap and D3. Other topics presented are related to performance, scalability, usability, workflow, metadata profile plugins and catalogue services compliance. Examples of implementations of the software will also be given, highlighting several national European SDI portals as well as work for Environment Canada and the collaboration with the OpenGeoPortal project.https://video.osgeo.org/videos/embed/c238c864-7116-411b-b5ee-19380d239e71https://video.osgeo.org/w/nUrZnmG41ZhKjg2aqein5fhttps://video.osgeo.org/lazy-static/thumbnails/5323dfe1-054b-46ec-bb9d-c2f9c4845ca4.jpgOpenLayers 3 Feature Frenzy — Tim Schaub (Planet Labs), Eric Lemoine, Andreas HocevarOpenLayers 3 aims to be a full-featured, flexible, and high-performance mapping library leveraging the latest web technologies. Since the initial release of 3.0 at the end of 2013, the library has matured significantly, and great new features are rolling out with each monthly release. This talk will provide you with a tour of the latest features in the library, including daring live demonstrations. We will present our recent and ongoing work on making the library more user-friendly and introduce you to our new online build tool that makes it easy to create custom builds of the library. Whether you're a developer or decision maker, come to this talk to learn about the current status of OpenLayers 3, and see what's in store for the future.https://video.osgeo.org/videos/embed/b1629ab0-8841-43b8-829c-4ceef123e422https://video.osgeo.org/w/8BnrsX1hKWao4hX6LDjF53https://video.osgeo.org/lazy-static/thumbnails/2d24086d-a101-42d0-9b76-5208e3fe10f2.jpgRoute Planning in your Database with pgRouting — Vicky Vergara (Georepublic), Daniel KastlpgRouting extends the PostGIS / PostgreSQL geospatial database to provide shortest path search and other network analysis functionality. This presentation will show the inside and current state of the pgRouting development, from its wide range of shortest path search algorithms to driving distance calculation or “Traveling Sales Person” (TSP) optimization. Additionally we will give a brief outlook and introduction of upcoming new features like the “Vehicle Routing Problem” (VRP) solver, and what we have in mind for future releases. We will explain the shortest path search in real road networks and how the data structure is important to get better routing results. Furthermore we will show how you can improve the quality of the search with dynamic costs and make the result look closer to the reality. You will also learn about difficulties and limitations of the library, and when pgRouting might not be not the right tool to solve your routing problem.https://video.osgeo.org/videos/embed/3da03700-79f9-4617-a250-9fa88ceb71c6https://video.osgeo.org/w/5kG4kJYYPPEUezoqRFN9Dyhttps://video.osgeo.org/lazy-static/thumbnails/337f88db-08ff-4f3c-9aad-fd00403a9c1c.jpgMapServer #ProTips 2 — Jeff McKenna (OSGeo), Michael SmithMapServer is a fast, flexible and extremely powerful tool for creating dynamic maps for the Web. Underneath the hood, MapServer offers many powerful and advanced features that many users never dig into, and new features are being added constantly. Come learn about some of the more advanced features of MapServer, from extending OGC services to exporting data to GDAL file formats to very complex symbology and labeling. Learn simple and advanced use cases and debugging techniques for some of these advanced features from two presenters with over 30 years combined experience of using MapServer; this will be the second #protips performance by these two vibrant characters. A live MapServer instance will be used during this presentation (yes we are still crazy!).https://video.osgeo.org/videos/embed/23245f65-3b8d-4398-8923-476b4787c5e2https://video.osgeo.org/w/sbEBKrN5U1Coj7AqjK8kMphttps://video.osgeo.org/lazy-static/thumbnails/bcb73df5-eaea-4a17-9f90-88abbd67dd50.jpgDynamic analysis, reporting and visualization of metadata catalogue — Francois Prunayre (titellus)More and more geospatial resources (datasets, services, maps, ...) are described in metadata catalogs. Now, users need to be able to get an overview of the resources available (eg. data quality, dissemination formats) for evaluating their data policies. This could be achieve with tools for analyzing and reporting on large sets of information and dynamically compute reports and build dashboards. This presentation will show how to collect information from CSW catalogs, compute reports and indicators and build and publish online dashboards using Solr and banana opensource projects. This will be illustrated by the INSPIRE Directive monitoring in Europe and the MedSea project.https://video.osgeo.org/videos/embed/d40ad74e-536f-40e5-9279-5ec32c007efdhttps://video.osgeo.org/w/qcHL2hJu9TBbqDA98pcU6Chttps://video.osgeo.org/lazy-static/thumbnails/849e0007-6a23-4c70-b790-abef2c65ee71.jpgGiving Away the Code Without Giving Away the Farm: A Business Model for Open Source Entrepreneurs...“How do you make money selling software that is free?“ A valid question and one that is asked even from people who are in the open source community. The point of open source is to share and collaborate so how can you make sure your efforts benefit the greater open source community while still growing your business? There are several different models that businesses can leverage to profit from open source software including offering expertise as a supporter of popular open source projects to creating your own open source project to fit your business needs. This presentation will focus on how we created Bootleaf-OGC, an open source project, out of Bootleaf which in turn was based on two other open source projects (Bootstrap and Leaflet). We will discuss our decision making process for choosing the Bootleaf project to replace the current interface on our mapFeeder product, where the project is located on git-hub so attendees can download it, and our decision on what enhancements to give back to the project. We will also discuss our roadmap for moving forward with this project and other business decisions we are making around open source software. Attendees will come away from this presentation with information about open source business models, entrepreneurship, and knowledge of a new open source mapping application project they can utilize and contribute to.https://video.osgeo.org/videos/embed/c3fe3e84-8e87-4c88-97c4-cdc99f7c0c1ehttps://video.osgeo.org/w/s8owiyDnnpqJczhtKqNo9ihttps://video.osgeo.org/lazy-static/thumbnails/2928518b-bac5-49ac-ae70-8a22fb00b220.jpgEarning Your Support Instead of Buying it: A How-to Guide to Open Source Assistance — Ian TurtonMore organisations are moving to use FOSS4G software to cover shrinking budgets. It is very appealing to an organization’s leaders to ditch their current proprietary software solution with the attendant saving on per user licences and ongoing maintenance costs. Obviously, if you switched to FOSS4G to get better features and scalability you should consider buying a support contract from one of the many vendors that offer them, these companies support many of the core developers directly. This way you get all the advantages of open source, prompt support and often the chance to ask for new features. However, if you (or your boss) are looking to save money then you are moving from a cash economy to a gift economy. In a gift culture you need to build up your “capital” before attempting to take too much out. For example, you’ve downloaded the software and installed it, and all looks good. Then disaster hits, you have a demo for the CIO and nothing's working; Time to hit the user list, the developer list, stack exchange. Why can’t you get an answer? Remember just because your issue is urgent to you the developers might be in the middle of a new release or adding a new feature and have more important (or fun) things to do with their time. They will notice they have never seen your name before on the list, or on Stack Exchange that you have a reputation in the single digits – thus you are a newbie. There’s no harm in that but wouldn’t it be better to have got that out of the way before your emergency. You could have built up your reputation by asking some questions earlier especially questions like “what can I do to help?” or “I found an unclear paragraph in the install instructions, how do I fix it for you?” on a mailing list. On StackExchange you can build reputation by asking good questions and by answering other people’s questions. Once you’ve banked some capital there are still good and bad ways of asking a question. Developers are busy people (the GeoTools users ...https://video.osgeo.org/videos/embed/d395b106-d030-46b2-b3df-f6753587f949https://video.osgeo.org/w/6SFbDEDqixgqnu3PeWSLBxhttps://video.osgeo.org/lazy-static/thumbnails/d4d7be43-e121-42d8-a423-14598a654363.jpgLocation-based Task Management for Mobile Business — Daniel KastlSalesmen need to visit their customers, city officers need to check public assets, outpatient care staff needs to visit patients, … and there are lot of other examples where tasks have a geospatial reference. To manage such work with information technology implies more than just dropping a marker on a map: location-based tasks usually pass through various states, have varying importance, get assigned to different people and follow a predefined workflow. With optimization of work processes and tour scheduling in mind we have started to build a task management software based on available open source software and open standards. In this presentation you will learn about our concepts, and how FOSS4G can facilitate on-site customer services and improve service quality and efficiency.https://video.osgeo.org/videos/embed/2f910791-1cec-44fa-8112-ecd2d993214dhttps://video.osgeo.org/w/rPMJC2KqHPoobcdhwaJnVvhttps://video.osgeo.org/lazy-static/thumbnails/8334ebb8-2c86-4e4a-954f-be2cf22e55c0.jpgOpen Source for Handling IndoorGML — Donguk Seo, Ki-Joune Li, Hyunggyu RyooIn order to respond to increasing demand for indoor spatial information, an OGC standard called IndoorGML, has been recently published. It is an application schema of GML and based on the cellular space model, which represents an indoor space as a set of cells with their geometric, topological, and semantic attributes. Since we are at a beginning stage, very few tools supporting IndoorGML have been developed. In our talk, we will present an open source tool that we have been developing to provide a translating function between IndoorGML and other data formats. For example, it offers a Java package with a set of classes for indoorGML, called JavaIndoorGML. Once IndoorGML documents are mapped to Java instances of classes in JavaIndorGML, we are able to handle indoor spatial information with ease.https://video.osgeo.org/videos/embed/d1209bd9-c2a0-497a-bbe9-7cddc31731f3https://video.osgeo.org/w/acPMzUisSuzFqPePr6RpLdhttps://video.osgeo.org/lazy-static/thumbnails/363a9d7a-a759-4aa2-b9bf-9edbc740052c.jpgistSOS: latest developments and first steps into the OSGeo incubation process—Massimiliano Cannat...istSOS (istsos.org) is an OGC SOS server implementation entirely written in Python. istSOS allows for managing and dispatching observations from monitoring sensors according to the Sensor Observation Service standard. istSOS is released under the GPL License, and should run on all major platforms (Windows, Linux, Mac OS X). The presentation will go through the details of all the new features that will be packed in the next release. In particular the presenters will introduce enhancements that include the Advanced Procedures Status Page and the istSOS Alerts & Web Notification Service. The istSOS Advanced Procedures Status Page is a new section of the Web graphical user Interface, offering at a glance a graphically representation of the Sensor Network health. Administrators can easily figure out common issues related with sensor data acquisition and transmission errors. The istSOS Alert & Web Notification Service are the result of the Google Summer of Code 2014 outputs. This service is a REST implementation that take inspiration from the OGC Web Notification Service (OGC, 2003; OGC, 2006a) and the Sensor Alert Service (OGC, 2006b) which currently are OpenGIS Best Practices. Alerts are triggered by customized conditions on sensor observations and can be dispatched through emails or social networks. This year istSOS is entering into the OSGeo incubation process, this new challenge will permit to enhance the software quality and consolidate the project management procedures. The presenters will present the incubation status and discuss about the next steps.https://video.osgeo.org/videos/embed/4a88e0e8-1bcf-4f7e-a1d0-bd5607978918https://video.osgeo.org/w/7iFkVuWVXZwpyugWPpiGAwhttps://video.osgeo.org/lazy-static/thumbnails/ee767c5b-f9cf-40af-8af6-25ca746ccf6d.jpgA spatial view in the culture heritage domain — Jacob MendtCulture heritage institutions are hosting digital historic map collection and the collections more and more allow spatial-temporal searching and georeferencing of its maps. At the Saxon State and University Library Dresden (SLUB) this lead to the development of the Virtual Map Forum 2.0, which is a spatial data infrastructure (SDI) for searching, visualization and georeferencing plane survey sheets. This SDI mainly relies on OpenLayers 3, Mapserver, GeoNetwork and GDAL. Beside that, tools for automatic georeferencing based on image recognition software have been developed and compared with the use of crowdsourcing tools for georeferencing. A further topic, on which culture heritage institutions are focusing is enrichment, transformation and merging of existing heterogeneous metadata sets. The goal is to allow better searching and utilization approaches for digital and analog objects. In the SLUB this lead to the development of the open source ETL-tool d:swarm, which supports the transformation and enrichment of metadata records. This opens possibilities for adding spatial identifier to large amounts of library objects, like pictures, newspaper articles or books and through this allows for a greater consideration of the spatial dimension in discovery systems. Another big topic is long term preservation, which becomes even more important with the growing number of digital native publications and datasets. Libraries and archives as experts of long term preservation and spatial data infrastructure provider, which are confronted with tasks and questions regarding the preservation of content. They therefor can benefit from an exchange of knowledge and work between each other. The presentation will give an insight into the world of culture heritage institutions. It will present topics, where FOSS4G and libraries can benefit from each other. Therefore it discusses different issues from within the SLUB where FOSS4G is used or could be used and spatial issues are affecte...https://video.osgeo.org/videos/embed/330eb8eb-122a-4f48-8865-8c7f24b89deahttps://video.osgeo.org/w/qUcrra9R3LcdipU7H88Ed5https://video.osgeo.org/lazy-static/thumbnails/abe46fa5-9b5a-4ed1-98dd-b3dc273c7830.jpgGIS-modelling of long-term consequences after a nuclear accident. — Martin Ytre-EideIn order to evaluate consequences of deposited radioactive cesium (and other radioactive substances) in natural systems a GIS based model called “Stratos” has been developed. This model incorporates information regarding deposition, transfer to vegetation and animals, intervention levels and geographical distribution of animals. The presentation will use a case study which describes the possible environmental consequences for Norway due to a hypothetical accident at the Sellafield complex in the UK. The scenario considered involves an explosion and fire at the B215 facility resulting in a 1 % release of the total HAL 1 inventory of radioactive waste with a subsequent air transport and deposition in Norway. Air transport modeling is based on real meteorological data from October 2008 with wind direction towards Norway and heavy precipitation. This weather is considered to be quite representative as typical seasonal weather. Based on this weather scenario, the estimated fallout in Norway will be ~17 PBq of cesium-137 which is 7 times higher than fallout after the Chernobyl accident. The modeled radioactive contamination is linked with data on transfer to the food chain and statistics on production and hunting to assess the consequences for foodstuffs. The investigation has been limited to the terrestrial environment, focusing on wild berries, fungi, and animals grazing unimproved pastures (i.e. various types of game, reindeer, sheep and goats). The results of a model-run are maps for the chosen products, with categorized colors - giving the degree of consequences. A linked text file gives relevant numeric values for each color. The Stratos model is written in python which calls GRASS-functions and uses as gui for model setup. The model has been used for two reports at the Norwegian Radiation Protection Authority, and is currently being used and developed further in the "Centre for Environmental Radioactivity" (CERAD), cerad.nmbu.no.https://video.osgeo.org/videos/embed/c9a50d98-de71-4801-b8f1-cafe327cdfbchttps://video.osgeo.org/w/4ydZeEX8ALnAR2r7a1Qm2Uhttps://video.osgeo.org/lazy-static/thumbnails/b16ecd89-ad0a-4279-87b5-f6ac91be0a1a.jpgMapping in GeoServer with SLD and CSS — Andrea AimeVarious software can style maps and generate a proper SLD document for OGC compliant WMS like GeoServer to use. However, in most occasions, the styling allowed by the graphical tools is pretty limited and not good enough to achieve good looking, readable and efficient cartographic output. For those that like to write their own styles CSS also represents a nice alternatives thanks to its compact-ness and expressiveness. Several topics will be covered, providing examples in both SLD and CSS for each, including: mastering multi-scale styling, using GeoServer extensions to build common hatch patterns, line styling beyond the basics, such as cased lines, controlling symbols along a line and the way they repeat, leveraging TTF symbol fonts and SVGs to generate good looking point thematic maps, using the full power of GeoServer label lay-outing tools to build pleasant, informative maps on both point, polygon and line layers, including adding road plates around labels, leverage the labelling subsystem conflict resolution engine to avoid overlaps in stand alone point symbology, blending charts into a map, dynamically transform data during rendering to get more explicative maps without the need to pre-process a large amount of views. The presentation aims to provide the attendees with enough information to master SLD/CSS documents and most of GeoServer extensions to generate appealing, informative, readable maps that can be quickly rendered on screen.https://video.osgeo.org/videos/embed/1ccb3854-22df-4b95-bb39-c58511c5a85ehttps://video.osgeo.org/w/coRs3ASz6ZrwBLukezAuguhttps://video.osgeo.org/lazy-static/thumbnails/64e5f59f-a321-4fa1-ad26-135d0fca3b88.jpgSensor up your connected applications with OGC SensorThings API — Steve LiangThis introduction will give an introduction and live demonstration of the OGC SensorThings API. The OGC SensorThings API provides an open and unified way to interconnect the Internet of Things (IoT) devices, data, and applications over the Web. The OGC SensorThings API is a new OGC standard candidate. Unlike many existing OGC standards, SensorThings API is very simple and efficient. At the same time, it is also comprehensive and designed to handle complex use cases. It builds on a rich set of proven-working and widely-adopted open standards, such as the OGC Sensor Web Enablement (SWE) standards, including the ISO/OGC Observation and Measurement (O&M) and Sensor Observation Services (SOS). The main difference between the SensorThings API and the OGC SOS is that the SensorThings API is designed specifically for the resource-constrained IoT devices and the Web developer community. As a result, the SensorThings API follows the REST principles, the use of an efficient JSON encoding, and the use of the flexible OASIS OData protocol and URL conventions. In addition to introduce the specification, this talk will also demonstrate an end-to-end IoT application based on the SensorUp IoT platform, an open source implementation of the SensorThings API, including a server, javascript library, web dashboard and a Arduino library.https://video.osgeo.org/videos/embed/5c455cbd-0431-42c7-9c06-99a0d0f69bb2https://video.osgeo.org/w/a3dymSZnLPLTHJ1zZTSbY7https://video.osgeo.org/lazy-static/thumbnails/7f94fc51-c748-46cf-8c53-73b02706c54f.jpgUse case of Disaster Management System by using Geopaparazzi and MapGuide Open […]Use case of Disaster Management System by using Geopaparazzi and MapGuide Open Source—Hirofumi Hayashi, Venkatesh Raghavan, Kozawa Hiroshi In recent years, large-scale disasters have occurred in the countries of Asia including Japan, rapid collection and sharing of disaster information is required in order to provide relief and support speedy restoration of civic services. This presentation discusses the integration and customization of FOSS4G field survey tools and Web GIS server to facilitate aggregation and rapid sharing of disaster related field information. Further, the system also provide realtime interaction between field party and coordination team. A case study of practical use of the system at the Osaka Water General Service (OWGS) Corporation will be demonstrated to present the salient features of the system. The main capability of the system usability is normal as well as disaster situation will be highlighted.https://video.osgeo.org/videos/embed/4931797e-0e6e-4b6c-94cb-cb58518b74fehttps://video.osgeo.org/w/ejqVs2qP1irybWjrvwvEmNhttps://video.osgeo.org/lazy-static/thumbnails/75ecc30b-81a4-4ec8-be4b-7e396b094681.jpgA framework for assessing location-based personalized exposure risk of infectious disease transmi...A framework for assessing location-based personalized exposure risk of infectious disease transmission—Hsu Ching-Shun, Tzai-Hung Wen Human mobility is an important risk factor affecting disease transmission. Therefore, understanding detailed spatial behaviors and interactions among individuals is a fundamental issue. Past studies using high-resolution human contacts data from smart phones with GPS logs have captured spatial-temporal heterogeneity and daily contact patterns among individuals. However, measuring personalized exposed risk of infectious disease transmission is still under development. The purpose of the study is to establish a location-based framework for assessing personalized exposed risk of infectious disease transmission. The framework consists of three components: the first is client-side smart phone-based risk assessment module. We developed Android application for collecting real-time location data and displaying the personalized exposed risk score. The second component is the server-side epidemic simulation model. The simulation model calculated the personalized exposed risk score based on real-time GPS logs and individual mobility data from the client-side Android application. The last component is the disease alarm device for triggering the service-side epidemic simulation model. We installed infrared sensors in people-gathering areas as the alarm device to monitor human body temperature for detecting fever syndrome. We used NTU main campus as a pilot study to demonstrate the feasibility of the framework. We analyzed the records of students’ taking course and modeled the spatial interaction relationships among classroom buildings due to students’ mobility around the campus. Someone who got a fever is detected by the sensor and the server-side epidemic simulation is triggered. Each student who installed the client-side risk assessment module in his/her smart phone receives the real-time personalized exposed risk score when an epidemic outbre...https://video.osgeo.org/videos/embed/6bd98c83-44a3-4436-b058-8aa246a054d6https://video.osgeo.org/w/3o9WgX95yvQwhBe47aMxnDhttps://video.osgeo.org/lazy-static/thumbnails/9bd6b293-ee45-456f-b770-610cb19eb4b8.jpgUsing the latest ISO standard for geographic information (ISO19115-1:2014)—Francois PrunayreRelease in April 2014, this talk will introduce the major changes of the new standard for metadata on geographic information and what are the benefits for the data managers. It will be illustrated by its implementation in the latest GeoNetwork 3 version and with examples on how the Wallonia Region in Belgium migrated to it.https://video.osgeo.org/videos/embed/134a25aa-2821-4f54-aaed-20f843bf32dbhttps://video.osgeo.org/w/pvAsoWCQGp2gFX79gvKJi5https://video.osgeo.org/lazy-static/thumbnails/d5d5dbfe-93db-4b5b-b465-06ae871ee8f8.jpgAnalyzing Fire Department Response with PostGIS — Paul WickmanLocal government fire departments always face scrutiny of their performance and efficiency. They are continuously asked to do a better job with fewer resources. In this highly technical session we will show how PostGIS is being used to analyze and measure performance throughout the city and plan for future resource requirements. Every city we work with is unique in some way. Some fire departments act as the local ambulance service while other cities contract with private ambulance companies. Emergency “911” response centers are often managed by police/law enforcement departments but not always! Many cities also have “mutual aid” agreements with neighboring cities to assist them when needed. For our customers PostGIS stores and manages the geo-located events (fires, hazardous spills, etc.) and provides details about the departments and individual emergency vehicle performance. It is most interestingly used to create statistical reports about things such as “Effecive Response Force” and “Resource Drawdown”, which are used to measure the efficiency and effectiveness of the department. Please come to learn how PostGIS is used to analyze things such as primary response areas and fire hazard severity zones, allowing our customers to ask more advanced, geographically based questions.https://video.osgeo.org/videos/embed/be63fe01-edbb-4be1-b906-a897c82f81aehttps://video.osgeo.org/w/q8SvXD96VTWpicDh9TtF7jhttps://video.osgeo.org/lazy-static/thumbnails/5cf93c74-f22a-470b-aa8c-a2d6b1684225.jpgGIS Policy Map for Local Government in Korea: Story of Dobong-gu, Seoul — Yongjae ParkLocal governments in Korea are trying to solve urban problems using GIS policy map. Through FOSS4G Seoul, I want to introduce example of Dobong-gu, Seoul. Topic 1. Spatial Analysis of Practical Requirements of Parking Lot The residents who live in the old residential zone in Dobong-gu are suffering from shortage of parking spaces every morning and night. Most administrators are using an indicator named ‘a ratio of cars to parking spaces’ to judge seriousness of the problem with parking. But the indicator cannot reflect reality. We measured practical requirements of parking lot spatially, using micro block data and car registration data with addresses. We tried to look at things from the resident’s perspective, not from administrator or provider. Now, Dobong-gu push ahead with sharing parking lot program with houses which have spare parking spaces. Topic 2. Civic Participation Model for Solving Children’s School Walkway Safety Problems. Office of Policy Development of Dobong-gu did a survey with a thousand residents about safety issue, and many of them answered that they feel fear walking down the alley. Although the Office got the policy implication from survey, they couldn’t convince the definition of ‘alley’ and accurate location where the residents feel fear. Office and we redesigned survey paper cooperatively. The improvement point was ‘Map-based Survey’. Elementary school students and their parents participated and they lined school walkway and alleyways where they felt fear on paper map. We migrated all the lines on papers to shape files using QGIS, then we got a very satisfactory outcome. Office of Policy Development added LED lights to the dark street nearby elementary school, Elementary school teachers decided the walkway guidance spot by referring to students often jaywalk.https://video.osgeo.org/videos/embed/c374aa89-0b0b-484b-833f-58d2895954d2https://video.osgeo.org/w/mShzAhMs1wiYJPZGmmu41vhttps://video.osgeo.org/lazy-static/thumbnails/921e534c-3a23-4289-9a49-df604b3aca26.jpgExternal Radiation Exposure Estimation by OGC-based Sensor Information Platforms — Kyoung-Sook Ki...After the nuclear power plant accident in Fukushima, signif- icant amount of radioactive materials released into the environment. The radiation exposure has brought lots of concerns about environmental con- tamination, economic, and social consequences. The Japan governmental agencies have started to continuously monitor and collect radiation levels by monitoring posts, car and airborne surveys for the estimation of dose levels of radioactive materials and analysis of human effects in the future. In this paper, we propose a new platform, called RALFIE (radiation exposure lifelog Indicator), to map a personal spatio-temporal positions in daily life into air dose rates on the real-time radiation monitoring data and estimate potential radiation exposure based on their lifelogs such as GPS logs and sensor monitoring logs. The RALFIE is based on AIST sensor information platform based on OGC standards such as SOS, CWS, WCS, etc. In addition, it cooperates with D-shuttle sensor and assesses the relationship between ambient dose equivalent and individuals. In this presentation, we introduce an overview of AIST sensor information platforms and RALFIE platform and show a use case of the integration of environmental sensing data and personal data for providing potential radiation exposure information to mobile users. Also, we will take account into other health standards such as SDMX-HD and HL-7 for supporting public health problems and discuss about how to combine them with/into OGC standards.https://video.osgeo.org/videos/embed/a8fc2dd0-eded-4a31-8b6f-d2b0e5a52529https://video.osgeo.org/w/6JbrzqJvB6BKSGJ7ejAgswhttps://video.osgeo.org/lazy-static/thumbnails/d418fc09-4bba-4b96-9ecf-d1eaf5e66178.jpgtriple-A for the environment: make IT simply better — Arnoud De Boertriple-A for the environment: make IT simply better With the new Dutch Environment Act, the legal framework for development and maintenance of the physical environment becomes more understandable and manageable for citizens, businesses and governments. A simpler and more coherent environmental law contributes to work actively and efficiently on a dynamic and sustainable environment. This entire exercise of harmonization, reduction and integration is headed by the motto “Simply better”. In addition to the merging several dozen laws and regulations in one Environment Act (omgevingswet.nl), also the central IT office where citizens can apply for a environmental permit is further improved. This should make it easier to obtain a permit for example for a construction or business activity. The information presented in this central IT office must fulfill the triple-A requirements, i.e. Accessible, Applicable and Abiding. On the basis of this is a national system of open (geo)data registers of which the data acquisition and management is mandated to (semi-)government organizations. On each area of environmental law, a domain expert is appointed; stakeholders of each domain are metaphorically organized in an ”information house”, and all houses are situated metaphorically along “the avenue of the environment”. Goal of the improved central IT office is to provide a clear understanding of the relevant legislation and to allow each actor in the process to work with the same data and definitions. Therefore, we developed a prototype which presents a concept of linking data, definitions and regulations stored in one central register using an online mapping service as user interface. Using Linked Data as strategy with persistent URIs, we are able to link the concepts in this register to an end-user prototype application. We implemented an prototype for the question: “Do I need an environmental permit for… applying a change in business activity?“. An air quality impact assessment ...https://video.osgeo.org/videos/embed/2e615db9-d6e9-451e-b653-3acae105372ehttps://video.osgeo.org/w/nYDYUgSuZ3vhc62W4aPHAUhttps://video.osgeo.org/lazy-static/thumbnails/44afe3b2-444c-467d-9122-21ccd8e85eca.jpgIMPROVING PUBLIC HEALTH DELIVERY IN NORTHERN NIGERIA USING OPEN SOURCE TECHNOLOGIES — Dami SonoikiIMPROVING PUBLIC HEALTH DELIVERY IN NORTHERN NIGERIA USING OPEN SOURCE TECHNOLOGIES — Dami Sonoiki (eHealth Africa), Kazeen Owolabi, Nicolas Gignachttps://video.osgeo.org/videos/embed/b1f8f83a-2833-490c-bdbc-688017706d74https://video.osgeo.org/w/2wYtYZ63nR55Df1Z7tHmuAhttps://video.osgeo.org/lazy-static/thumbnails/c18c982c-8bdc-428a-91ee-f7403f089bba.jpgThe development of a geospatial creating system for National Spatial Data Infrastructure. — Jong-...Recently, awareness and utilization of open source software has been increased, and interest of open source in spatial information industry has also been increased. Especially, in developing countries trying to build National Spatial Data Infrastructure (NSDI), movement to utilize open source technology is significant because it costs less for maintenance and it is easy to operate. The purpose of this research is to leave a case creating web-based platform environment to apply to the countries attempting to build real National Spatial Data infrastructure by developing and applying open source. In order to implement this, the user interface and services using OpenLayers, jquery, and Ajax were developed.https://video.osgeo.org/videos/embed/0c6c42a3-b885-49da-b00c-4292295af462https://video.osgeo.org/w/oxsFYnqvBV2vxwJLi7CcUFhttps://video.osgeo.org/lazy-static/thumbnails/85c2a805-83ad-4b4e-a7cc-3d825178b4e3.jpgResearch client side draggable route selection with pgRouting — Ko NagasepgRouting extends the PostGIS / PostgreSQL geospatial database to provide shortest path search and other network analysis functionality such as alternative K-Shortest path selection. But, in some case, client side draggable route selection (like Google Maps Direction or OSRM) is preferable. This presentation will research what is necessary to realize such client side draggle route selection with pgRouting, then try to implement the functionality to some browser(Leaflet, OpenLayers .etc) and desktop(QGIS .etc) client.https://video.osgeo.org/videos/embed/b68d8e1f-fa48-42d5-843b-cc7cdd78c41bhttps://video.osgeo.org/w/ci97o3VSjU46rV4aZdPqA3https://video.osgeo.org/lazy-static/thumbnails/8349cc43-0726-474f-a3a3-e2b4b80233e4.jpgBuilding and integrating a Continuous-Integration system within your open source project — Steven...So you have an open source project or you want to create a new one. Maybe you have worked on a development project in the past that didn’t have quite the amount of rigor you would have liked. You know you want a build system for your project that is easy to administer, cheap, and powerful, but where do you start? Here is how we implemented our own process using free open source tools. We learned from experience that developers are more focused on solving problems than perceived “housekeeping” tasks. We needed tools that would automate the mundane, repeatable, mechanical, or human-difficult tasks so that developers could focus on what they are good at. We needed a single-sign on through Github to lower any barriers to tool usage that might exist. We needed a dead-simple way to determine if our commits broke functionality anywhere else in code. We needed to track how much of our code was covered by unit tests. Finally, we needed to be able to quickly and easily review each-other’s code and provide feedback. We decided on TravisCI to handle build duties in Maven with a nested project structure and also for its integration with Coveralls. For bug tracking, release scheduling, and task management, we chose WaffleIO for its tight integration with Github issues. One additional feature we desired was static analysis so that simple errors that lie outside of a linter could be caught and reported. This was handled by a combination of Coverity scans and a static analysis tool for Eclipse called Findbugs. Due to our platform support and third-party library (GDAL) requirement, the Github Wiki was the perfect place to keep all setup documents and other helpful articles for end-users and project new-comers. This system for software development worked quite well in most cases. Builds were automated, moderately tested (~40-60% coverage), and complaining to the team loudly via email when things broke. We had a new problem though: build breakages in the master branch and the inabil...https://video.osgeo.org/videos/embed/5b792ad5-4778-4dff-9ed0-a9c2a520008ehttps://video.osgeo.org/w/vvfH3KZRksyWPbP8hJ4Ax5https://video.osgeo.org/lazy-static/thumbnails/40a8ffee-7fd1-4633-823e-94e96cc43ac6.jpgWalkLite in Mobile GIS: A Schema to Extend and Symbolize SpatiaLite — Xian ChenThe open source database SQLite/SpatiaLite has been widely used for presenting geospatial data in geographic information systems (GISs), especially those run on mobile devices. A SpatiaLite database defines tables with geometry column for layers, and spatial indices for speeding up spatial queries. However, one of the issues remained to be resolved is how to define a framework symbolizing the portable SpatiaLite data efficiently. For this reason, we developed an open data schema “WalkLite” by inheriting the Walk spatial data specification (the data specification is currently used in surveying and land use planning in China). WalkLite schema provides an extension to SpatiaLite in the following aspects: 1. Four meta-data tables complying with the Walk spatial data specification: WalkLayers, SymbolFactory, MetaData, and MetaDataDef. 2. Corresponding the Walk spatial database, each WalkLite layer contains three tables: two SpatiaLite layer tables (one for features, the other for annotations) and one symbol table. 3. The feature layer table contains OGC SRS geometry and style ID. 4. The annotation layer table contains OGC SRS geometry (a point for the location of annotation, or a polygon for the location of image), annotation (text that stores the content of annotation or the file path of image) and style ID. 5. The symbol table defines styles indexed with style IDs referred by the feature layer table and annotation layer table. WalkLite schema was typically implemented on a SpatiaLite database, though it can also be adapted to other geospatial data formats supported by GDAL/OGR library. In this sense, the spatial data following the schema can be shared with other GIS software and used on cross-platform applications. In this presentation, we will introduce the Walk Schema and demonstrate a WalkLite-based mobile GIS App that is widely used for land investigation, cadastral inventory and decision analysis in a number of Chinese provinces.https://video.osgeo.org/videos/embed/eeeea788-3478-45eb-9b62-276dab09542ahttps://video.osgeo.org/w/eQEmwbXj84oFG3YLJFHQYahttps://video.osgeo.org/lazy-static/thumbnails/e89d0278-b37a-4feb-a4ce-5bc685ad6479.jpgPush it through the wire! Push it more, if it's wireless! — Jachym CepickyToday's web browsers, their rendering engines and JavaScript interpreters are able to display relatively big amounts of vector data. Moving from DOM rendering (as it was implemented with help of SVG in for examples OpenLayers 2) to Canvas (and further to WebGL -- as we are now having in OpenLayers 3 or Leaflet) enables us to display thousands of complex vector features, with complicated on-client vector data styling. With this possibility, we are facing now new types problems: how to send such amount of data through limited internet connection? If we have closer look at the problem, we can see clearly, that old database paradigm has raised one more time: we can not have all three attributes of data in one pot, but only 2 of them: speed of the delivered data or amount of delivered data or their topicality. If we take this limits into account and decide to deal with big amounts of data in fast way, topicality must be sacrificed. In the talk, we will demonstrate some possible solutions for this problem, using tiled vectors, generalization, aggregation of vector data. Also advantages, disadvantages of various new and popular vector formats, such as GeoJSON, TopoJSON or MapBox will be discussed. Geometric data do not have be rendered all the time in all scales and over whole area of interest, but only necessary portion of them. If displayed in smaller scales, aggregation and generalisation can take place on the server side. That implies, that using vector caching mechanism could be considered as well. But if we need direct interaction of the server input with cached vector data, mechanism for this must be defined as well. Also attribute data have to be transfered separately, if all the optimisation was put in the vector geometries. Also possible steps between cached data and real-time data will be discussed.https://video.osgeo.org/videos/embed/701223d1-2380-417a-88be-5d9275b9ea91https://video.osgeo.org/w/xv5DyLRYTSBQKqCgqLvSmzhttps://video.osgeo.org/lazy-static/thumbnails/666e87cc-6b18-499a-a71a-3a0b16f28c6b.jpgOn simulation and GIS, coupling and hydrology — Vincent PicavetThis presentation shows how to better integrate simulation codes and Geographical Information Systems, and takes the example of Hydrological modelling integration into QGIS. Scientific modelling and simulations are present in a large number of areas. A significant proportion of simulation codes are applied spatially, at different levels, from a neighborhood scale up to worldwide areas. These simulation codes take spatial information as input data, and output results which are related to space too. But most of the time, they do not directly handle GIS data. Data types and data formats are different, and there is therefore a lot of effort to put into pre-processing and post-processing of the data to get it from GIS to the simulation codes and back. For example, determining the diffusion of a pollutant leak into underground water necessitates to get a DEM, location of the leak, geological data and more from the GIS, and transform it to simulation code input format. Then launch a simulation (on finite volumes e.g.), and convert the output into GIS files so that to be able to visualize spatial repartition of the pollutant according to time. The topic of this presentation is therefore to show how to better interact between simulation and GIS. We present the prevalent types of data for simulation, how they differ from GIS, and how we usually transfer from one type to another. Then we show how we worked towards better integration. Polygonal meshes are the most common way of representing 2D geometries for simulation purposes. Integrating simulation to a GIS requires storing georeferenced meshes in a databases (or using standard GIS file formats), and being able to use simulation values interpolated over the elements as a map layer. We show how to modify simulation codes to read directly a mesh from a GIS and write the results into a GIS. We implemented a new type of layer for QGIS, a mesh layer, which enables to display simulation results with high performances. This take...https://video.osgeo.org/videos/embed/ff1abb65-acda-464a-83e0-0182a5e937b9https://video.osgeo.org/w/m4bWUyqunjxP2PCmbcwrH6https://video.osgeo.org/lazy-static/thumbnails/b6445793-c622-48ef-9643-cce18505f9ff.jpgGis Server with Golang. — Kyoung Tae DohGIS Server architecture with Golang. Find the better way of Golang GIS Server.https://video.osgeo.org/videos/embed/a268c029-23ca-47fc-8c47-0c0bda9a5e73https://video.osgeo.org/w/9VSh42Cj7EYAnU4cBsNVakhttps://video.osgeo.org/lazy-static/thumbnails/3da79724-2ece-4ef8-8780-a4b6b22208ce.jpgCourtVisionPH: A System for the Extraction of Field Goal Attempt Locations and Spatial Analysis o...CourtVisionPH: A System for the Extraction of Field Goal Attempt Locations and Spatial Analysis of Shooting Using Broadcast Basketball Videos — Ben Hur Pintor (University of the Philippines -Training Center for Applied Geodesy and Photogrammetry) The presentation is about the development and application of CourtVisionPH. CourtVisionPH is a system developed for the extraction, storage, and analysis of basketball-related spatial information. It focuses on the extraction of field goal attempt (FGA) locations from broadcast basketball videos and the spatial analysis of shooting by means of statistics and maps/visualizations. The system was developed using the Python Programming Language. It features a database for storing spatial and non-spatial information and a Graphical User Interface (GUI) to help the user and the system interact. The modules used in the development include Tkinter for the GUI, SQLite for the database, Numpy for the computations, Pillow for image processing, and OpenCV for video rendering. The system has three independent but interconnected functionalities each with its own specific task: (1) Data Management which handles database connections, (2) Spatial Data Extraction for user-assisted extraction of FGA locations from videos using 2D-projective coordinate transformation and validation of transformed FGA locations sing RMSE and back-transformation, and (3) Spatial Analysis that computes statistics, generates maps/visualizations, and query-based analysis. After the development of the system, it was applied on UP Fighting Maroons and the DLSU Green Archers during the 2nd Round of University Athletics Association of the Philippines (UAAP) Season 76 (2013-2014). Videos publicly available online through youtube.com were used for extracting field goal attempt locations. Shots taken too far from the basket (half-court heaves, etc.) or those with bad RMSE or back-substitution results were excluded from the extraction. The extracted FGA locations were t...https://video.osgeo.org/videos/embed/484e8364-0e8d-4cdd-bb05-e0250cd61881https://video.osgeo.org/w/kRfur3276ewC4MH6BKgMgwhttps://video.osgeo.org/lazy-static/thumbnails/7c142fc3-36f6-44af-bb60-45e9c5f006f3.jpgLightning Talk 3 OSGeoLive: the best collection of Geospatial Freee and Open Source Softwares — L...Power your marketing strategy with perfectly branded videos to drive better ROI.https://video.osgeo.org/videos/embed/a0be0259-2c96-4afd-8456-9d597673da80https://video.osgeo.org/w/dkZxgq2pSCMCvVpGYDNh4Phttps://video.osgeo.org/lazy-static/thumbnails/13b10911-c73b-4a11-8792-ec973f6cdcb5.jpgFOSS4G 2011 Brian TimoneyBrian Timoney gives an impassioned talk on the state of the geospatial industry at FOSS4G 2011 in Denver.https://video.osgeo.org/videos/embed/63f84158-9ef6-4010-9244-11495055cf1dhttps://video.osgeo.org/w/h2288hyf1WZWNVa6E4SHsNhttps://video.osgeo.org/lazy-static/thumbnails/6ebf1436-c243-4639-ac0e-c24d5a28d564.jpgEveryone's a mapper in their own wayAn excerpt from the already legendary GeoGlobalDomination: the Musical, performed at FOSS4G 2011 in Denver. This clip features the song "Everyone's a mapper in their own way" performed by Captain Geo, aka Schuyler Erle, also featuring Kate Chapman as herself and Ivan Sanchez as the evil Doctor Northing.https://video.osgeo.org/videos/embed/81b6a781-1fda-40a8-aa62-c57333605856https://video.osgeo.org/w/j9k32h6SCBYcKA9MhApTiXhttps://video.osgeo.org/lazy-static/thumbnails/6b89fe4a-2e76-4e32-990b-b481eeaf3950.jpgGeoGlobalDomination: the MusicalGeoGlobalDomination: the Musical, performed at FOSS4G 2011 in Denver, starring Ivan Sanchez, Schuyler Erle and Kate Chapman. A legend!https://video.osgeo.org/videos/embed/92ee2d3b-9925-4f6b-8548-c156e00edb35https://video.osgeo.org/w/dcLQVowaJxsrdNmh2Z2Sechttps://video.osgeo.org/lazy-static/thumbnails/c7fe0e27-ebb4-42b7-9d4b-876a0163c575.jpgFOSS4G 2011: Paul Ramsey keynotePaul Ramsey talks on "Why do you do that? An exploration of open source business models" at FOSS4G 2011 in Denver.https://video.osgeo.org/videos/embed/62d27b2c-c675-4db7-9f54-60c19bc52c5dhttps://video.osgeo.org/w/9Ygd4RoyMehgJo3tcBbSYFhttps://video.osgeo.org/lazy-static/thumbnails/9e67cfab-3e27-4a20-a82f-6eb30e349f5d.jpgFOSS4G 2011 Mike Byrne: A new way of open dataPower your marketing strategy with perfectly branded videos to drive better ROI.https://video.osgeo.org/videos/embed/48a421f7-df18-45e9-a195-64cd7fa09e3fhttps://video.osgeo.org/w/2opEQheut8rfNTfmmw7UKYhttps://video.osgeo.org/lazy-static/thumbnails/c9d10fa3-62b5-49c3-861c-94665419d9f4.jpgPivoting to Monetize Mobile Hyperlocal Social GamificationPivoting to Monetize Mobile Hyperlocal Social Gamification by Going Viral, by Schuyler Erle at FOSS4G 2011 in Denver. A must watch!https://video.osgeo.org/videos/embed/0b3a16a5-7cce-4291-9fea-dfd113fc0996https://video.osgeo.org/w/o5h8PXWqVthHoC1a54r1jjhttps://video.osgeo.org/lazy-static/thumbnails/744e495e-0b64-488f-9160-f8c4888f3b86.jpgARD23_day3_dbbSession: Pipelines Day 3 - Brian M Hamlin, OSGeoLive - Recorded talks for the 5th Analysis Ready Workshop on Satellite Data Interoperability (ARD23) held in San Francisco May 16-18, 2023 https://www.ard.zone/ard23https://video.osgeo.org/videos/embed/b2c1f817-e5e0-4461-85c6-2ec9a2ac5bfehttps://video.osgeo.org/w/5yBgjdXov7RgvKL53RZ841https://video.osgeo.org/lazy-static/thumbnails/ad694a9e-a7b7-4f14-8158-3f912b494fc0.jpgA Tour of the PostGIS Extended Family of ExtensionsRegina Obe from Paragon reviews many extensions related to PostGIS. She has some new PostGIS 3.3.0 features like ST_OptimalAlphaShape and ST_3DConvexHull powered by postgis_sfcgal. Also included is here is a demo of H3. Link to slides: https://postgis.us/presentations/PostGISDay2022_PostGISExtensions.html Code: https://postgis.us/presentations/postgisday_2022.sq.https://video.osgeo.org/videos/embed/24f21667-697d-4db8-a94a-0f9c69d822e2https://video.osgeo.org/w/jdc8iGTVU7gKrhbKQeF4VBhttps://video.osgeo.org/lazy-static/thumbnails/3377fef9-c582-4dd6-a87b-22db82718bc0.jpgRegina Obe: PostGIS Vision: Past, Present, and FutureRegina Obe: PostGIS Vision: Past, Present, and Futurehttps://video.osgeo.org/videos/embed/93784719-6e9f-43fa-bc4b-725b4a27bb39https://video.osgeo.org/w/tprNJnKNnw5NwxULa57eGBhttps://video.osgeo.org/lazy-static/thumbnails/1df2cba8-2074-433c-9627-1596de934e5d.jpgTop 10 Problems Solved by PostGISWe'll cover 10 problems where we've found PostGIS to be the easiest and fastest tool for the job. Areas covered will be: Proximity Analysis Statistical aggregation of data by location Mapping Routing Geocoding Unlikely uses for PostGIS -- non-spatial problems solved by re-imagining the problem as a spatial one. Extra focus on new tricks made possible by PostGIS 2.3+ and PostgreSQL 9.6+.https://video.osgeo.org/videos/embed/ddecc0fc-cd13-4636-8c21-da260c713fd7https://video.osgeo.org/w/u8MckbroFtcjUnnL2bHGCuhttps://video.osgeo.org/lazy-static/thumbnails/5187d63f-fd08-4ac5-a37f-9acb304638fe.jpgHow to Prepare a Graph for pgRoutingVicky Vergara from GeoRepublic has been involved on the core team for pgRouting for several years. She takes you through some of the fundamental pieces to the graph component of the routes and how the routing algorithms are created.https://video.osgeo.org/videos/embed/e3d5f106-0175-4aab-8794-f2fb2184fb0chttps://video.osgeo.org/w/dSKshTGURD61jAtpn9t5Xjhttps://video.osgeo.org/lazy-static/thumbnails/8ecd1250-5225-4cba-ae5d-1b880c0921e4.jpgShortest path in the database and more with pgRoutingpgRouting extends the PostGIS / PostgreSQL geospatial database to provide shortest path search and other network analysis functionality. This presentation will show the inside and current state of the pgRouting development, from its wide range of shortest path search algorithms and other algorithms like driving distance calculation or “Traveling Sales Person” (TSP) optimization, graph contraction, flow analysis etc. Additionally we will give a brief outlook and introduction of upcoming new features on the version 3.0. We will explain how the data structure is important to get better routing results. Furthermore we will show how you can improve the quality of the search with dynamic costs and make the result look closer to the reality. You will also learn about difficulties and limitations of the library, and when pgRouting might not be not the right tool to solve your routing problem. Links to project: https://github.com/pgrouting/pgrouting Nonehttps://video.osgeo.org/videos/embed/6843a1a7-bc22-4fbc-a47e-36914e8f8b30https://video.osgeo.org/w/n5JAqN3YFwpC9YWPerPx9qhttps://video.osgeo.org/lazy-static/thumbnails/80856630-c5fa-4df1-9f92-ad11fcd06da4.jpg2023 | SafoMeter - Assessing Safety in Public Spaces: The urban area of Prishtina - Gresa NeziriFOSS4G 2023 Prizren This presentation discusses the importance of safety in urban planning, particularly in public spaces, and highlights the challenges faced by marginalized groups, especially women, in feeling safe in public areas. To address this issue, the SafoMeter methodology is introduced, which is a framework for assessing safety in public spaces, considering both objective and subjective indicators.The objective indicators focus on urban fabric and accessibility, taking into account the physical components of the built environment that influence feelings of safety. Subjective indicators assess emotional safety, considering threats and comfort levels experienced by individuals in public spaces. The methodology was applied in Prishtina, the capital city of Kosovo, collecting data over three months using mobile applications and geographic information systems (GIS) tools.The results of the SafoMeter assessment reveal a need for intervention in Prishtina's public spaces to improve safety, particularly in parks and green areas. The study emphasizes the importance of ongoing data collection and the involvement of citizens in evaluating safety indicators. The data collected through SafoMeter will be made available through a web-based platform, promoting open-source knowledge sharing and encouraging further studies and interventions in other cities facing similar challenges.https://video.osgeo.org/videos/embed/aab922db-ac02-4b37-a9c0-6b3b67a8130chttps://video.osgeo.org/w/6M78NmUxmsx6SBFmJmgTz9https://video.osgeo.org/lazy-static/thumbnails/f4dcdc8f-fbd1-4f29-b917-029874c1505a.jpg2023 | Agro-tourism impact analysis of climate change with Google Earth Engine - Rahovec wine regionFOSS4G 2023 Prizren This talk focuses on assessing climate change-induced thermal shifts in the Republic of Kosovo using statistical models and open-source data. It employs the Mann-Kendell and Sens Slope statistical methods to analyze completed MODIS LST mission data. The study aims to understand land surface temperature shifts during day and night over different time periods, providing insights into the current and projected future impacts of climate change on tourist economies in Kosovo. Additionally, water balance analysis is used to evaluate climate change's effects on wine grape production and identify regions vulnerable to flood-related hazards. The findings will help develop resilience strategies for the affected areas. Furthermore, this presentation introduces a novel framework for time-series analysis of big data to assess climate change impacts on developing economies, with a focus on tourism. It utilizes open datasets and analyzes the temperature changes in data-scarce environments. The study's results are expected to be valuable for governments, municipalities, and NGOs, providing insights into how climate change will affect their communities and helping inform climate adaptation strategies. It discusses the use of Google Earth Engine for modeling remote sensing data, emphasizing the importance of open-source tools in climate intelligence building, particularly in regions with limited resources. The Republic of Kosovo's efforts to develop tourism-dependent economic sectors, such as the wine region of Rahovec and Prizren, are at risk due to climate change. This project aims to showcase the potential of open big data analysis and open-source learning tools to provide essential insights into climate change impacts in resource-constrained countries. It highlights the significance of developing open-data models to inform climate adaptation strategies in regions facing climate-related challenges.https://video.osgeo.org/videos/embed/2ec9f186-1240-4a71-a6c6-b0b4a2385906https://video.osgeo.org/w/tci9J7QuUMoZ4PGEQ9Ji7rhttps://video.osgeo.org/lazy-static/thumbnails/a95475e4-b5df-4a99-b265-5b6e82c839b1.jpg2023 | A Case Study of Openness in Japan's Digital Twin "Project PLATEAU - Toshikazu SetoFOSS4G 2023 Prizren This talk delves into the development of highly accurate and open 3D city model data in Japan, which started in 2020. It addresses both quantitative geospatial analysis using publicly available data and qualitative evaluation through 40 use cases. Digital twins, virtual replicas of urban environments, have gained global attention for urban planning, disaster prevention, and environmental simulations. However, geospatial data for digital twins, especially in 3D, has primarily been developed in European and US cities, with limited efforts in Asia. In response, Japan initiated "Project PLATEAU" in 2020 to develop a high-precision 3D city model in CityGML format and convert it into open data. This project aimed to explore use cases and enhance urban policies using digital technology. The study provides insights into the development, openness, and urban data commons in this initiative. It also quantitatively compares PLATEAU data with OpenStreetMap (OSM) data in Japan, highlighting the higher level of detail in PLATEAU but noting the need for regular updates. Furthermore, the talk discusses various applications of open 3D urban model data in Japan, particularly in the realms of smart cities and disaster prevention. It emphasizes the importance of national-level maintenance, integration with open data like OSM, and GIS education in urban planning. The study's data sources are open and will be made available as open data on GitHub, contributing to the reproducibility of the research.https://video.osgeo.org/videos/embed/dc3a7ea0-1fc4-4149-b8c2-c5df6c52f469https://video.osgeo.org/w/ceY9CZFQDwHiA5RUCkjs7khttps://video.osgeo.org/lazy-static/thumbnails/2ae7ddde-4c69-4d47-83b5-2f9c3a12c6bc.jpg2023 | 3D City Model-based Aid Station Operation Visualization & Management using Cesium.js - MJ KimFOSS4G 2023 Prizren How do you run an aid station in case of a disaster? Scenarios are planned for each city, but there are limitations in applying them to actual aid station operations. In this presentation, a case study on the development and simulation of a aid station management tool using digital twin technology will be presented and share various visualization techniques in a 3D city model environment. The study site is Ulju-gun, a county of about 220,000 people in southern South Korea, with two nuclear power plants operating within a few kilometers of each other. Moving people to shelters to protect them in the event of a disaster such as a radioactive leak is very essential and crucial part of disaster management. The aid station management tool presented in this presentation leverages ground-truth 3D modeling data of the shelter buildings that will be operational during a disaster to provide facility placement and editing capabilities. This allows relief tents to be automatically placed or edited based on the scenario. It also provides the ability to monitor the overall changes that may occur at the shelter through a dashboard, including real-time victim status, food, beverage, and medical support, supply status, shelter information, and disaster situation information. The Cesium platform is used to service the data and the Three.js library is used to handle the viewing and placement of 3D model data in glTF format. Other open source implementations include React, Turf.js, Apache ECharts, and GeoServer. The findings mentioned in this study provide a good example of how 3D city model-based shelter operations and visualization techniques can be applied to disaster preparedness systems to support effective decision-making and resource allocation.https://video.osgeo.org/videos/embed/5b07cc1a-4df4-4991-bc10-b896f6083c17https://video.osgeo.org/w/5LfecuZqcEYSs5AFvV4Ws2https://video.osgeo.org/lazy-static/thumbnails/20d4bd37-68b3-4c60-81ec-45d82e08eab3.jpg2023 | Motivating Citizen Scientists on openSenseMap with Open Badges - Mario PeschFOSS4G 2023 Prizren The Christmas Bird Count, dating back to 1900, stands as one of the world's earliest and enduring citizen science projects. It engages thousands of birdwatchers annually to count birds in a 24-hour period in mid-December. This project has laid the foundation for citizen science initiatives, where the public actively participates in scientific research. In recent years, there has been a surge in citizen (cyber-)science projects harnessing digital technology and the internet. While these projects have made significant contributions to various fields, they often face challenges in maintaining participant motivation due to monotonous tasks. Gamification, the application of game elements such as competition and rewards to non-gaming contexts, emerges as a solution to sustain participant engagement. The openSenseMap platform, an open-source citizen cyber-science platform for environmental monitoring, has encountered challenges related to user engagement and motivation. To address this, the study explores the use of Open Badges, digital badges representing skills or accomplishments, as a gamification component on the openSenseMap platform. Users can earn badges for specific achievements, fostering motivation and engagement. Survey results indicate that participants found the addition of Open Badges enhanced the platform's appeal, suggesting their potential to boost motivation and participation in citizen science projects. Moreover, the open badge platform, called mybadges, aligns with the ethos of collaboration and transparency in citizen science. Beyond citizen cyber-science, Open Badges hold promise in open (geo)education, where they allow learners to showcase their knowledge and skills in a tangible and transferable manner. By earning badges for educational achievements, learners can build a portfolio of evidence to demonstrate their credentials, benefiting fields like geospatial science. Open Badges in open (geo)education can enhance the learn...https://video.osgeo.org/videos/embed/26920c6e-a229-4e3f-a717-67a179c58a25https://video.osgeo.org/w/ivedTAv3sfrSBBdXPrv5CMhttps://video.osgeo.org/lazy-static/thumbnails/1967e2fd-6000-4e06-be14-a938c061bfee.jpg2023 | Transit Access to Essential Services in the face of Climate Change Erin Stein & Kaushik MohanFOSS4G 2023 Prizren Climate change’s impact on public transportation tends to focus on improving transit infrastructure to reduce stoppages. While this is important, it does not take into account the effect it has on communities, often already underserved, that rely on the transit system. As part of The Opportunity Project’s Building Climate Change Resilience Through Public Transit sprint, our team at Data Clinic set out to develop an open source, user-friendly, and scalable tool to communicate intersectional risks faced by transit infrastructure and community access at the local level. This solution was inspired by both the event, and user research with key stakeholders in transit agencies, academia, and community organizations. In this presentation, we will demonstrate TREC: Transit Resiliency for Essential Commuting, and expose key decisions that resulted in a geospatial solution designed for wide audiences, and geographic and data scalability. TREC’s transit stop-level insights can become crucial tools for transit planners and community organizations to prioritize and advocate for infrastructure improvements that take community effects into account. Focused initially on two locations- one small (Hampton Roads, Virginia) and one large (New York City) transit system, each station is treated as a destination providing access to essential services during localized climate change events. In this MVP, we employ flooding as our climate scenario, the event most cited as recurring and disruptive by our stakeholders. Using OpenStreetMap to calculate walksheds around each station obtained from GTFS data, we categorize importance in accessing essential services such as hospitals and jobs around a transit stop. Layered onto this, we bin current flood risk for each station using the prevalence of buildings with moderate- to extreme high-risk of flooding according to open data, and provide polygons representing projected flood risk in 2050. While we built the TREC UI to...https://video.osgeo.org/videos/embed/8dc01335-e29f-45c7-bf2c-32b59c04491dhttps://video.osgeo.org/w/bNjMNMdqqheCi24TjYsiTLhttps://video.osgeo.org/lazy-static/thumbnails/3184df19-ea5d-4a07-a5e9-c02db216c7ec.jpg2023 | Open Data Analytics API in GeoNetwork - Gravin FlorentFOSS4G 2023 Prizren In the OGC world, you have a catalog to look for metadata/datasets, and the OGC API Features to fetch the data, paginate, filter and so on. The use cases have evolved since then and data consumers expect more complete abilities from their data catalogs. Nowadays we want to analyze, understand and reuse our datasets and providing such tools is a great way to encourage data owners to share and open their warehouse. A data API could then offer: - Full text search on data points - Data fetching, paging, sorting and filtering - Data analytics, aggregation, computation - Data joining - And those operations should perform in an optimized and scalable manner. - It's what GeoNetwork has offered for decades now, and GeoNetwork is taking the move to opendata to address all those use cases. You might have heard about columnar formats, and columnar vector formats such as Arrow, Parquet… After an introduction of the context and the expectation of a well shaped data API, we’ll present different approaches and types of flow architectures - Warehouse formats - Static files (parquet) - Index - Databases (PostGIS, Cytus) - Api models and implementation - OGC API Features limitation - Duck DB - Pure SQL And compare the different stack in terms of efficiency depending on various use cases. The final goal is to provide an API which serves search, analytics and dataviz purposes.https://video.osgeo.org/videos/embed/57732dfb-f59a-4f16-bb0e-4aa5d905652ehttps://video.osgeo.org/w/8gsBf6HfrZeFvagrWUobhwhttps://video.osgeo.org/lazy-static/thumbnails/24915352-583a-4716-aade-af1522b50209.jpg2023 | OGC API standards for geospatial data cubes - Jerome St LouisFOSS4G 2023 Prizren A presentation and demonstration of data cube functionality implemented based on OGC API Standards and draft Candidate Standards. Including: - OGC API - Tiles, - OGC API - Maps, - OGC API - Coverages, - OGC API - Discrete Global Grid Systems, - OGC API - Processes - Part 1: Core, and Part 3: Workflows and Chaining ("Nested Processes", "Collection Input", "Collection Output"), - OGC Common Query Language (CQL2) with a focus on providing efficient access to analysis-ready sentinel-2 data and additional processing close to the data, in the context of wildfire risk assessment.https://video.osgeo.org/videos/embed/3ad88653-68e1-4d8e-b174-4becdad4e656https://video.osgeo.org/w/o941AaN7uscdwEEMz3SJQShttps://video.osgeo.org/lazy-static/thumbnails/86a82cfb-997b-45b6-acf2-9d2c34bc4ce2.jpg2023 | Interoperable Digital Twin for Spatio-Temporal PV Power in Luxembourg - Ulrich LeopoldFOSS4G 2023 Prizren This talk focuses on addressing the pressing need for renewable energy production in urban areas and cities, given their significant energy consumption and vulnerability to climate change. Luxembourg, in particular, has set ambitious goals for reducing greenhouse gas emissions and increasing renewable energy production. However, public authorities often lack the expertise and tools to make informed decisions about energy strategies. The presentation introduces the concept of an interoperable geographical digital twin based on free and open-source software and geospatial technologies. This digital twin integrates 3D CityGML data with simulation algorithms for renewable energy potentials and the energy grid. It aims to simulate the potential for solar photovoltaic (PV) electricity generation in cities, considering factors such as building characteristics and solar orientation. Results from this platform provide valuable insights for municipalities, urban planners, and citizens to support realistic urban energy planning. By offering high-resolution information on PV power generation at various scales, it aids in the development of sustainable energy plans and facilitates cost-efficient PV placement in buildings. In conclusion, this presentation highlights the importance of geographical digital twins in advancing the transition from fossil fuels to renewables. An interoperable digital twin, built on open-source technologies and open data, provides a flexible and collaborative environment for simulating and testing energy transition scenarios, ultimately accelerating the adoption of renewable energy in urban areas.https://video.osgeo.org/videos/embed/b348db12-c376-4dea-8112-a46bb64394cahttps://video.osgeo.org/w/ugnduZtmbxaDLXPwezUZ3Zhttps://video.osgeo.org/lazy-static/thumbnails/3217e13e-34de-4a52-b539-5aaa81ebcade.jpg2023 | Elephant in the room - Dennis BauszusFOSS4G 2023 Prizren There are no Free (as in Beer) and Open Source Cloud Datastores. Let's have an opinionated look at some of the better alternatives to store and modify, private and public data for spatial applications. Having build FOSS cloud interfaces 4 Geo since forever I decided to look at the current state of data stores. We have pretty much figured out how to do serverless in the cloud. Data at rest though is a completely different beast. The going gets tough the closer you work to the metal. There is an overwhelming multitude of formats, models and standards to chose from. Should we consider relational, document, and/or [column orientated] data files? With too many to discuss we put the spotlight on some exciting new players such as bit.io and geoparquet. A recent Panorama (BBC) report asked; Is the cloud damaging the planet? Is it? Is there anything we can do? We want to share some best practices in regards to building data store interfaces as well as running these services at scale, and in production.https://video.osgeo.org/videos/embed/e4e51d11-f1fb-4300-9f13-07c7e54aea01https://video.osgeo.org/w/8XWEPqzXHoD8CrqP3HVui6https://video.osgeo.org/lazy-static/thumbnails/08083ae0-1030-4c54-9b34-b0fa20d12906.jpg2023 | Serving earth observation data with GeoServer: COG, STAC, OpenSearch and more - Andrea AimeFOSS4G 2023 Prizren Never before have we had such a rich collection of satellite imagery available to both companies and the general public. Between missions such as Landsat 8 and Sentinels and the explosion of cubesats, as well as the free availability of worldwide data from the European Copernicus program and from Drones, a veritable flood of data is made available for everyday usage. Managing, locating and displaying such a large volume of satellite images can be challenging. Join this presentation to learn how GeoServer can help with with that job, with real world examples, including: - Indexing and locating images using The OpenSearch for EO and STAC protocols - Managing large volumes of satellite images, in an efficient and cost effective way, using Cloud Optimized GeoTIFFs. - Visualize mosaics of images, creating composite with the right set of views (filtering), in the desired stacking order (color on top, most recent on top, less cloudy on top, your choice) - Perform both small and large extractions of imagery using the WCS and WPS protocols - Generate and view time based animations of the above mosaics, in a period of interest - Perform band algebra operations using Jiffle This talk will give a good update on the latest GeoServer capabilities in the Earth Observation field.https://video.osgeo.org/videos/embed/407f91b0-d5ef-458c-8cef-17768935c7a7https://video.osgeo.org/w/psixL8ptLrdRpFPNeS625bhttps://video.osgeo.org/lazy-static/thumbnails/c46afa41-0a42-43fb-a4f1-9d7c07815583.jpg2023 | OpenStreetMap as Input for Governmental Datasets: Italian Military Geographic Institute CaseFOSS4G 2023 Prizren Presenter: Marco Minghini In recent times, there's been a shift in the geospatial data landscape. While public sector organizations have traditionally been the sole providers of such data, new sources, including private companies and crowdsourced initiatives, are challenging this status quo. Governments are now exploring novel ways to manage their geospatial datasets. Notably, initiatives like Microsoft Building Footprints and the Overture Maps Foundation, backed by major tech companies, aim to improve geospatial data coverage through open data, with a strong reliance on OpenStreetMap (OSM). The Italian Military Geographic Institute (IGM) has joined this trend by releasing the "Database di Sintesi Nazionale" (DBSN), a multi-layer dataset intended for national-level analysis and 1:25,000 scale map creation. The DBSN incorporates data from various sources, including regional geotopographic data and even OpenStreetMap. A noteworthy aspect is that the DBSN is released under the Open Database License (ODbL) due to its inclusion of OSM data, ensuring derivative products are also open. This study conducted a detailed analysis of the DBSN compared to OSM data in 12 Italian regions. The results show that OSM plays a minor role in building data integration but has significant potential for contributing to street information. While the percentage of OSM data compared to official IGM data varies widely among regions, it highlights OSM's importance as a reference source for governmental geospatial information. Additionally, the study indicates that some OSM data not included in the DBSN could be due to differences in tagging or the rapid updating capability of OSM. In summary, this study underscores OpenStreetMap's growing significance as a data source for government organizations and suggests opportunities for enhancing OSM through data imports from sources like the DBSN, released under open licenses.https://video.osgeo.org/videos/embed/bdee575e-f58a-4c8a-956e-c22c8427b51ehttps://video.osgeo.org/w/f6kB8ZiufeGAGnpLc8jrDChttps://video.osgeo.org/lazy-static/thumbnails/1e5afdbe-320c-4aa5-aba5-62f503fdf4a6.jpg2023 | Geoconnex.us: a standards based framework to discover water dataFOSS4G 2023 Prizren Presenters: Benjamin Webb & Tom Kralidis The Web has an increasing number of web applications being developed to freely provide their information and is a hub for open data publishing. For this to happen as a self-sustained ecosystem, data must be findable, accessible, interoperable, and reusable to both humans and machines across the wider web. This session delves into Web Best Practices for publishing data using open source and standards-based solutions. The geoconnex.us project is about providing technical infrastructure and guidance to create an open, community-contribution model for a knowledge graph linking hydrologic features in the United States as an implementation of Internet of Water principles. This knowledge graph can be leveraged to create a wide array of information products to answer innumerable water-related questions. Implementation has two parts: persistently identified real world objects and organizational monitoring locations that collect data about them. Both must be published to the Web using persistent URIs and communicated with common linked data semantics in order for a knowledge graph to be constructed. The Internet of Water Coalition supports the first part with a Permanent Identifier Service and reference hydrologic reference features (e.g. watersheds, monitoring locations, dams, bridges, etc.) within the US. In support of the second part, geoconnex.us takes advantage of pygeoapi using the OGC API - Features standard to publish structured metadata resources about individual hydrologic objects and the data about them. pygeoapi supports extending this standard by incorporating domain-specific structured data into the HTML format at the feature level, and allowing for external HTTP URI identification. In addition, pygeoapi’s flexible plugin architecture enables for custom integration and processes. This means that individual features from various sources can have structured, standardized metadata harvested by se...https://video.osgeo.org/videos/embed/721ebe1b-85be-4433-90ce-103b7ec032aahttps://video.osgeo.org/w/qJbHe4VoA5GT4amanwXFtxhttps://video.osgeo.org/lazy-static/thumbnails/f9e6b0d9-6ae1-4988-8178-dba06d3d9590.jpg2023 | MIERUNE BASE: The geospatial service for serving and sharing datasets - Iguchi KanahiroFOSS4G 2023 Prizren MIERUNE is a geospatial tech company in Japan. They set FOSS4G as a foundation of theirs and continuously join the communities as an user, a developer or a contributor. Thesedays they have been committing our new service - MIERUNE BASE. MIERUNE BASE is focussing on easily serving and sharing datasets on a simple architecture based on serverless and FOSS4G. In this talk, they will introduce the architecture or techniques of MIERUNE BASE.https://video.osgeo.org/videos/embed/c83f2abc-20db-41c1-9a47-aa24d9f9a091https://video.osgeo.org/w/5y9sAHpWaBgeDESpxqA9GRhttps://video.osgeo.org/lazy-static/thumbnails/aba7164b-9bb2-4fad-997c-b392f647d348.jpg2023 | 3D4DT: Exploring Decision Trees for Thematic Maps in 3D - Auriol DegbeloFOSS4G 2023 Prizren This talk addresses the challenge of understanding the decision processes behind software used for creating thematic maps. Many existing tools offer suggestions for map types and visual variables, but users often lack insight into why certain suggestions are made. To bridge this gap, the 3D4DT approach is introduced, which uses JSON to represent decision trees and maps these trees into interactive 3D scenes for users to explore. The contributions include a controlled vocabulary to create machine-readable descriptions for decision trees and an interactive 3D implementation. The prototype of this approach is web-based and available on GitHub. It uses Node.js for the server, Vitejs for frontend development, and Three.js, a JavaScript library, for creating interactive 3D scenes. The evaluation involved testing the expressiveness of the controlled vocabulary and the usability of the 3D interactive scene through a user study. Participants interacted with decision trees using both 3D scenes and static websites, and the results indicated that the 3D interactive scene helped users better understand complex decision trees. This work is relevant to developers and users of software for automatic thematic map creation. Developers can encode decision trees as machine-readable data, making their software's decision processes available for reuse. Users benefit from an interactive format to explore how map creation decisions are made. Overall, this approach promotes transparency in algorithmic decision-making for geospatial software and has implications for various open-source geospatial tools that use decision trees.https://video.osgeo.org/videos/embed/24e1916d-5320-471f-9d8e-5c9fe5f22451https://video.osgeo.org/w/5hmEQXABBgxCBRZ5fUbS1vhttps://video.osgeo.org/lazy-static/thumbnails/9cc6a050-56d8-4030-9c66-86a96f58761f.jpg2023 | GeoServer Orientation and Demo - Jody GarnettFOSS4G 2023 Prizren Welcome to GeoServer, a popular web service for publishing your geospatial data using industry standards for vector, raster and mapping. This presentation provides a gentle introduction to FOSS4G and we will do our best to say the quiet part out loud: - Demo: We have learned from experience, and will introduce GeoServer using a demo. - Usage: Concepts using both a demo, and diagrams to connect to your data and publish as a spatial service. - Checklist: Preflight check-lists capturing common oversights when deploying GeoServer for the first time. - Value: What role GeoServer plays in your organization and what value the application provides. - Community: How the project is managed, and a discussion of the upcoming activities.https://video.osgeo.org/videos/embed/22ad3171-0cbc-4c2a-b04b-4b0f5916f335https://video.osgeo.org/w/fqSLMiCbj56jpwgQDPfUE3https://video.osgeo.org/lazy-static/thumbnails/242667b9-6156-44fc-af90-6fcb88f73954.jpg2023 | Geospatial big data analytics for sustainable smart cities - Muhammed Oguzhan MeteFOSS4G 2023 Prizren This presentation focuses on the role of geospatial big data analytics tools in advancing sustainable smart cities. It emphasizes that achieving United Nations Sustainable Development Goals (SDGs) related to sustainable cities, clean energy, industry, innovation, and climate action can be facilitated by effectively implementing the smart city concept, which relies on location-based data and technologies like big data, Geographic Information Systems (GIS), cloud computing, and the Internet of Things (IoT). The research delves into the practical application of these tools, particularly Dask-GeoPandas and Apache Sedona, for handling geospatial big data in the context of smart cities. Performance comparisons reveal that these cluster computing systems outperform traditional methods, providing faster and more efficient data handling, which is essential for urban management in smart cities. The talk also highlights the advantages of the GeoParquet data format, which is faster and more compact than other formats like GPKG. Additionally, the presentation emphasizes the significance of open data sources, such as Energy Performance Certificates (EPC) data and mapping data, in analyzing the energy efficiency of domestic buildings, aligning with net zero carbon emission goals. By leveraging geospatial big data analytics tools, cities can effectively manage urban infrastructure and buildings while advancing sustainability and energy efficiency objectives. This study underscores the potential of these tools for smart infrastructure and buildings and suggests that future research could explore larger spatial datasets and cloud-native platforms to further test their capabilities.https://video.osgeo.org/videos/embed/74d914c4-fc8e-479e-9262-8eb5f56035aehttps://video.osgeo.org/w/m3XC6PuUxGao4kHm1KaXgPhttps://video.osgeo.org/lazy-static/thumbnails/d248aa41-b35a-4cbf-9bda-a36223ac17ef.jpg2023 | GeoHealthCheck - QoS Monitor for Geospatial Web ServicesFOSS4G 2023 Prizren Presenters: Tom Kralidis & Just van den Broecke Keeping (OGC) Geospatial Web Services up-and-running is best accommodated by continuous monitoring: not only downtime needs to be guarded, but also whether the services are functioning correctly and do not suffer from performance and/or other Quality of Service (QoS) issues. GeoHealthCheck (GHC) is an Open Source Python application for monitoring uptime and availability of OGC Web Services. In this talk they will explain GHC basics, how it works, how you can use and even extend GHC (plugins). There is an abundance of standard (HTTP) monitoring tools that may guard for general status and uptime of web services. But OGC web services often have their own error, "Exception", reporting not caught by generic HTTP uptime checkers. For example, an OGC Web Mapping Service (WMS) may provide an Exception as a valid XML response or in a error message written "in-image", or an error may render a blank image. A generic uptime checker may assume the service is functioning as from those requests and an HTTP status "200" is returned. Other OGC services may have specific QoS issues not directly obvious. A successful and valid "OWS GetCapabilities" response may not guarantee that individual services are functioning correctly. For example an OGC Web Feature Service (WFS) based on a dynamic database may return zero Features on a GetFeature response caused by issues in an underlying database. Even standard HTTP checkers supporting "keywords" may not detect all failure cases. Many OGC services will have multiple "layers" or feature types, how to check them all? What is needed is a form of semantic checking and reporting specific to OGC services! GeoHealthCheck (GHC) is an Open Source (MIT) web-based framework through which OGC-based web services can be monitored. GHC is written in Python (with Flask) under the umbrella of the GeoPython GitHub Organization. It is currently an OSGeo Community Project. GHC consist...https://video.osgeo.org/videos/embed/a2608a0d-d737-4ce1-94dc-d181bdcdbfe9https://video.osgeo.org/w/b88NsHdEbgMncKyvZyZtbhhttps://video.osgeo.org/lazy-static/thumbnails/aee0c912-e339-4dc8-a3ab-36d4af61b9b9.jpg2023 | CesiumJS & OpenLayers for Rennes Métropole's Digital Twin- Frederic Jacon & Ben KusterFOSS4G 2023 Prizren Rennes Métropole is leveraging digital technology and urban data to enhance decision-making and public policies. Their objectives include fostering cooperation among stakeholders, particularly citizens, and facilitating transparent, efficient, and cost-effective public services. They are developing a metropolitan cooperation platform, utilizing the VC Map Open-Source JavaScript framework for dynamic and interactive web mapping. This platform offers an engaging user experience, enabling exploration of development projects in 2D and 3D. Three specific use cases illustrate the platform's value to Rennes Métropole: - Solar Cadaster: This involves simulating the photovoltaic potential of rooftops, comparing it with residents' energy consumption, costs, and network capacity. - Linear Transport Systems: The platform supports mediation and consultation with citizens and communities regarding the implementation of linear transport infrastructure. - Exposure to Electromagnetic Waves: It visualizes exposure levels to electromagnetic waves, including simulations and real measurements, as well as the presence of radioelectric relays and sensors across the City of Rennes.https://video.osgeo.org/videos/embed/51fa668a-b203-45c5-b8e3-ef1c4fc6c4e8https://video.osgeo.org/w/ddS9mJRHSmHMDorLo95wTahttps://video.osgeo.org/lazy-static/thumbnails/9bec7334-3f08-449f-a798-479cfdf19629.jpg2023 | Creating libOpenDRIVE GDAL Driver for Lane-Detailed Road Network to GIS - Michael ScholzFOSS4G 2023 Prizren Various applications with the need of highly detailed road network models emerged within the last decade. Apart from traffic simulations in context of urban planning, especially the automotive industry plays an important role in geodata consumption for development, testing and validation of autonomous driving functions. In this domain, human-centred driving simulation applications with their realistic 3D virtual environments pose the highest demands on real-world data and lane-level road network models. It is not uncommon for such road network data to not only be mathematically continuously modelled, but also to contain all the necessary topological links and semantic information from traffic-regulating infrastructure – such as signs and traffic lights. Schwab and Kolbe [1] give a compact overview of the requirements of such fields of application and describe different domain-specific road data formats, which are commonly used for such tasks. Of these peculiar road description formats, OpenDRIVE [2] evolved as an open industry standard. In 2017 we proposed a driver for conversion of OpenDRIVE’s continuous road geometry elements into standardized GIS geometries according to OGC Simple Features Access [3] via the free and open-source Geospatial Data Abstraction Library (GDAL) [4]. By then, this was the first open source conversion tool from OpenDRIVE into more GIS-friendly encodings. Since then, other OpenDRIVE conversion tools have popped up, such as [5], [6], [7], [8]. But none of those allows such a comfortable integration into common GIS tools like our proposed GDAL extension by, for example, simply dragging and dropping an OpenDRIVE dataset into QGIS. We now present a refurbished version of our OpenDRIVE GDAL driver which is based on the novel C++ library libOpenDRIVE. It integrates well in GDAL’s new CMake building process and offers a more convenient starting point for developers and researchers who want to bring OpenDRIVE data easily in...https://video.osgeo.org/videos/embed/62f97dd6-ae12-4df2-b65b-2e84ce98b02fhttps://video.osgeo.org/w/uj7ZhbXuiJSoH2N2Q6nKWMhttps://video.osgeo.org/lazy-static/thumbnails/3ddb06ca-a4fa-4733-b799-414211ac2d97.jpg2023 | Earthquakes and OpenStreetMap - Danijel SchorlemmerFOSS4G 2023 Prizren The substantial reduction of disaster risk and life losses, a major goal of the Sendai Framework by the United Nations Office for Disaster Risk Reduction (UNISDR), requires a clear understanding of the dynamics of the built environment and how it affects, in case of natural disasters, the life of communities, represented by local governments and individuals. The framework states that communities participating in risk assessments should increase their understanding of efficient risk mitigation measures. Earthquakes are threatening many regions in the world with constantly increasing risk due to rapid urbanization and industrialization. Earthquakes do not kill people, buildings do. Thus, the main threat of earthquakes comes from building damage and collapse. To improve resilience and preparedness, we need to estimate the risk, the possible damage of buildings and the related human and financial losses. This requires not only the position, size and class of buildings, but also the reconstruction value and the number of people inside the building at any time. For this, exposure models are used that translate the physical earthquake hazard to building damage, human and financial losses. Exposure models usually describe the built environment of administrative regions as groups (aggregates) of different building classes and their frequency. "We present our open, dynamic, and global approach to describe, model, and classify every building on Earth with the greatest level of detail. Our model is based on the building data from OpenStreetMap and engineering information from open exposure models, combining these two sources to a building-by-building description of the exposed assets. We retain the aggregated descriptions where the building coverage in OpenStreetMap is incomplete and describe every building separately where building data is available. Due to the near-real-time computations of our model, it directly profits from the growth of OpenStreet...https://video.osgeo.org/videos/embed/e547939a-f738-43c9-bed1-77951dadd24dhttps://video.osgeo.org/w/m7o58v9unpwdJXkRPnjQMjhttps://video.osgeo.org/lazy-static/thumbnails/f24f6ac4-70ca-4c0e-9d49-67066beff864.jpg2023 | Google Earth Engine for Environmental & Climate Assessment: Kosovo Case - Dustin SanchezFOSS4G 2023 Prizren This talk discusses the utilization of available open resources by technically trained individuals to comprehend environmental changes and establish a framework for practical research on climate impacts. It highlights the lack of awareness and knowledge among many about these tools and their potential for sustainable development. The talk presents an environmental assessment of Kosovo, employing large open remote-sensing data from Google Earth Engine and publicly available models. This assessment covers various environmental aspects, including air pollution, groundwater monitoring, urban environments, and deforestation, offering insights into regional climate change impacts. The methods used here are interchangeable and replicable, providing a robust strategy for climate change analysis and sustainability decision-making. The study delves into the specifics of modeling big datasets within Google Earth Engine, focusing on data selection and analytical techniques. It emphasizes the potential of free-to-use frameworks in aiding developing countries to understand climate change impacts and build resilience. By leveraging open satellite data, the paper outlines a comprehensive approach for assessing human-environment interactions in developing nations affected by changing climates. These diverse models serve as a foundation for open big data initiatives, contributing to climate change resilience and enhancing the understanding of environmental data's practical applications.https://video.osgeo.org/videos/embed/a2dad672-0788-4e53-8771-0d01212ca744https://video.osgeo.org/w/cMxwaJvxXWbJt25HGt3zmAhttps://video.osgeo.org/lazy-static/thumbnails/0ee4ddda-bf1b-4601-be32-7bb81de4eff2.jpg2023 | Making of a community - beyond the recipe - Vasile CraciunescuFOSS4G 2023 Prizren "In our allocated 15 minutes, we would like to take you on a trip following the winding roads of building a community, the Romanian geospatial community: geo-spatial.org. We want to share our story, beyond our geodata and knowledge portal, to the very core of the values and principles that have guided us through difficult times and made our overcame challenges even brighter. In our more than a decade of existence, we’ve organised over 25 national FOSS workshop, a regional FOSS4G in 2013 and a global FOSS4G in 2019, we’ve initiated collaborative geo-related projects and managed to infuse the geospatial component in various non-spatial organisations, such as the ones in education or investigative journalism."https://video.osgeo.org/videos/embed/5f706b7d-7438-4d48-99f4-ddd7588a0d8ehttps://video.osgeo.org/w/3m7VUHc55HRBGftg9CBh3ghttps://video.osgeo.org/lazy-static/thumbnails/2f773763-8547-4015-b2c8-e03439eb2f4a.jpg2023 | State of STAC - Matthias MohrFOSS4G 2023 Prizren The SpatioTemporal Asset Catalog (STAC) specifications are a flexible language for describing geospatial information across domains and for a variety of use cases. This talk will present the current state of the specifications, which includes the core STAC specification and the API specification built on top of OGC APIs. While the core specification has been stable for roughly two years and doesn't need a lot of updates, the API specification got numerous updates and is finally close to a stable release. This presentation digs into additions to STAC extensions and the latest community developments. They survey the updates to the open-source STAC ecosystem, which includes software written in Python, Node.js, and more.https://video.osgeo.org/videos/embed/13016c53-bbb2-44e2-8098-38f8744cc4bbhttps://video.osgeo.org/w/4eL7jexTkQtzWiNyzyPgFThttps://video.osgeo.org/lazy-static/thumbnails/e87f28e2-739f-436f-9796-95f5720803f0.jpg2023 | Validating the European Ground Motion Service: An Assessment of Measurement Point DensityFOSS4G 2023 Prizren Presenter: Amalia Vradi The European Ground Motion Service (EGMS) is a pioneering project that employs high-resolution ground deformation monitoring using Copernicus Sentinel-1 radar images. It's the first initiative of its kind and offers valuable insights into geohazards and human-induced deformations. This project aims to validate the EGMS product's spatial coverage and density of measurement points across twelve diverse sites in Europe, representing various regions and data processing entities. The validation process evaluates usability criteria such as completeness, consistency, and pointwise quality measures. Ensuring completeness and consistency is crucial for effective use, requiring alignment between data gaps and land cover classes susceptible to landscape variations. Pointwise quality measures, like temporal coherence and root-mean-square error, are essential in assessing the quality of EGMS PSI results. The validation includes twelve selected sites representing different regions, rural and urban areas, and various processing entities, using the Copernicus Land – Urban Atlas 2018 dataset. With 27 different land cover classes defined in Urban Atlas, the results are aggregated and presented for key categories like Artificial Surfaces, Forest, Agricultural Areas, Wetlands, and Water Bodies. Key performance indices (KPIs) are calculated to normalize density values for each service provider, facilitating outlier detection and ensuring consistent and accurate measurements across different land cover types. In conclusion, the EGMS dataset, as an open and freely available resource, holds immense potential for various applications, including geohazard assessment, environmental monitoring, and infrastructure management, particularly when integrated with free and open-source geospatial analysis software. The validation results presented here are crutial in ensuring the accuracy and reliability of the EGMS product, enabling further researc...https://video.osgeo.org/videos/embed/1a37449e-a9c2-49ba-909c-884b538a9b1dhttps://video.osgeo.org/w/dtDTWk5SVxzdjEG3zmyv4xhttps://video.osgeo.org/lazy-static/thumbnails/acdc6fe4-2e55-4eb9-9c1f-ac25d55a3679.jpg2023 | State of deegree: The 2023 update - Dirk StengerFOSS4G 2023 Prizren Initiated in 2002, the OSGeo project deegree has developed to an important and mature building block for Spatial Data Infrastructures (SDI) over the last 20 years. The project provides 9 official Reference Implementations of OGC Standards such as GML, WFS, WMS, and OGC API - Features. In this talk, the presenter will focus on the recent improvements available in deegree webservices v3.5 and the updated roadmap for the next version which lists support of Java 17. They will also show how the OGC Standards OGC API - Features Core and CRS have been implemented and can be used with existing configurations. Finally, they will present the future directions of the project and what developments are currently planned.https://video.osgeo.org/videos/embed/650a1980-82a8-4a5c-a29a-7127c92a0441https://video.osgeo.org/w/iEEBap4ZzchYQqxntL492Bhttps://video.osgeo.org/lazy-static/thumbnails/784d7ff8-3783-4459-a478-a634205c8e32.jpg2023 | MapTiler SDK, the MapLibre experience on steroids - Jonathan LurieFOSS4G 2023 Prizren MapTiler SDK is a TypeScript layer that adds new capabilities on top of MapLibre GL, both in terms of UI and core features. It also comes with an interface to MapTiler Cloud REST API. The features they have added on top of MapLibre are of two kinds: many convenient helpers to make the developers' life easier, and plenty of built-in defaults that are specially made to use MapTiler data without having to specify annoying URLs or {ZXY} patterns, yet keeping it 100% backward compatible with MapLibre. In addition, all their services from MapTiler Cloud API, such as geocoding, IP geolocation, coordinate transforms, or static maps generation, are now easily accessible with well-documented TypeScript functions. All this with an open-source license. In the talk, they are going to present the library, showing practical examples and outputs. They believe, that the SDK is going to make the life of the web mapper easier not only by providing a close integration of MapTiler services but also by the new components and library itself.https://video.osgeo.org/videos/embed/8f116994-784e-40b9-80d1-4327904fef55https://video.osgeo.org/w/6F9qUV2LcGRgs62eDzCiUahttps://video.osgeo.org/lazy-static/thumbnails/e24628b8-d106-4b10-98c9-2d625e2c7502.jpg2023 | OpenMapTiles - vector tiles from OpenStreetMap & Natural Earth Data - Tomáš PohankaFOSS4G 2023 Prizren OpenMapTiles is an open-source set of tools for processing OpenStreetMap data into zoomable and web-compatible vector tiles to use as high-detailed base maps. These vector tiles are ready to use in MapLibre, Mapbox GL, Leaflet, OpenLayers, and QGIS as well as in mobile applications. Dockerized OpenMapTiles tools and OpenMapTiles schema are being continuously upgraded by the community (simplification, performance, robustness). The presentation will demonstrate the latest changes in OpenMapTiles. The last release of OpenMapTiles greatly enhanced cartography and map styling possibilities, especially the enrichment of Points of Interest and improvement of land use or land cover layer. The new version of Natural Earth brought updated data to upper zoom levels and included a new OSM OpenMapTiles style, showing all features in well know colors for vector tiles. OpenMapTiles is also used for generating vector tiles from government open data secured by Swisstopo.https://video.osgeo.org/videos/embed/2df4e52c-57d4-4df0-90fc-b8d4cde770c5https://video.osgeo.org/w/8UbGz3HqtCMv2VXrpBQ2e9https://video.osgeo.org/lazy-static/thumbnails/0e595b43-ce04-4a22-810a-b25bd7aecb83.jpg2023 | A review of Mapillary Traffic Sign Data Quality and OpenStreetMap CoverageFOSS4G 2023 Prizren Presenters: Said Turksever & Yunzhi Lin Traffic signs are a key feature for navigating and managing traffic safely, affecting all of us on a daily basis. However, traffic sign datasets are lacking on open government data portals as well as OpenStreetMap (OSM). Mapillary’s computer vision capabilities can extract more than 1,500 classes of traffic signs globally from street-level imagery. Generated traffic signs are available on iD Editor, Rapid and JOSM Mapillary plugin to enrich OpenStreetMap data. Their team wanted to know how the accuracy of traffic signs detected by Mapillary compared with the reality on the ground (the ground truth). To answer this question they collected more than thousands ground truth data in San Francisco and used this information to produce the recall, precision, and positional accuracy of their machined generated traffic sign data. This provided some interesting insights in OpenStreetMap and the level of completeness and gaps of that dataset. In this talk, they will cover Mapillary’s traffic sign extraction capabilities, Mapillary generated traffic sign data against ground truth data and OSM’s traffic sign coverage in San Francisco’s downtown. They will be also addressing how data quality can be improved using various data collection techniques and the role of post-processing with Structure from Motion and control points annotations.https://video.osgeo.org/videos/embed/3ff93d8e-007f-4a42-a335-e5678170daeehttps://video.osgeo.org/w/baJWTUPaybfRDfbH6QGQxzhttps://video.osgeo.org/lazy-static/thumbnails/8afb9334-1134-445d-ab94-f04a8a51ade8.jpg2023 | Adding static type hints to fiona - Stefan BrandFOSS4G 2023 Prizren Static type hints according to PEP 484 (and its extensions) have been a part of Python since version 3.5, which came out in 2015. Research from 2021 shows that 3 out of 4 Python developers already use optional type hinting at least sometimes in their projects. Time is ripe for static type hints to enter the FOSS4G Python world! This talk will give an overview on the current status of the effort to add type hints to fiona. Furthermore it will briefly discuss considerations and the reasoning behind design decisions taken up until then. Contributions to the effort are very much welcome – just take part in the discussion on GitHub.https://video.osgeo.org/videos/embed/52578c17-3fb6-415c-8248-f5b596944087https://video.osgeo.org/w/3kwsrwnEMb9s4KP8ygrNBohttps://video.osgeo.org/lazy-static/thumbnails/e33012a7-77a1-4754-a209-1b6e7da44e8f.jpg2023 | OSGeo AGM SessionFOSS4G 2023 Prizren In this exciting video, you'll discover the next destination for FOSS4G, where the global geospatial community will unite once again! Stay tuned until the end, as we extend our heartfelt thanks to all the dedicated committees and individuals who made FOSS4G 2023 possible.https://video.osgeo.org/videos/embed/12ec2d94-31f2-4733-95a5-31798d142494https://video.osgeo.org/w/8hJtrPz42xvX2fu1t89g1dhttps://video.osgeo.org/lazy-static/thumbnails/93cc2324-d91b-4303-8a12-450298348b91.jpg2023 | FOSS4G 2023 Closing sessionFOSS4G 2023 Prizren The FOSS4G 2023 closing session marks the conclusion of this premier global event for open-source geospatial technology enthusiasts.https://video.osgeo.org/videos/embed/3b060bc5-0343-4447-ba8e-43946bf67bb8https://video.osgeo.org/w/oQQKiVdb9q5Up9C4kv3nS2https://video.osgeo.org/lazy-static/thumbnails/325e9000-9c28-43dd-82eb-79dd2e9bb65f.jpg2023 | Orfeo ToolBox : roadmap to a more modular and pythonic OTB - Yannick TANGUYFOSS4G 2023 Prizren Orfeo ToolBox is now a mature software with more than 100 applications dedicated to remote sensing and data extraction. It is used both in academic works, in operational processing chains. OTB now needs to be more modular ("core", "machine learning", "SAR", "feature extraction") and also easier to use through Python. We will present the recent developments and our roadmap.https://video.osgeo.org/videos/embed/b8facaee-ad54-456d-94ad-a29f2d7e0409https://video.osgeo.org/w/tpQDcS2xS5TZK6B1x9QC6Uhttps://video.osgeo.org/lazy-static/thumbnails/ebf3a295-c5ed-4a7c-bccb-cba47f41ed25.jpg2023 | Spatial Analysis with the CARTO Analytics Toolbox - Víctor OlayaFOSS4G 2023 Prizren The CARTO Analytics Toolbox (AT) is a collection of spatial functions that add spatial capabilities to Data Warehouses. At the moment, BigQuery, Snowflake, Redshift and PostgreSQL versions are available. This talk will show some of the main functions of the AT, and discuss some examples of spatial data analysis performed in different DWs. Special emphasis will be put on the functionality related to spatial indexes, particularly H3 and Quadbin. The Analytic Toolbox functions are also the building blocks for other tools both from CARTO and outside of CARTO, which will be briefly introduced as well.https://video.osgeo.org/videos/embed/ddfad3af-4069-4b37-a130-8c48e034d746https://video.osgeo.org/w/ad3WhMRpGkxQ23AqWB6gEyhttps://video.osgeo.org/lazy-static/thumbnails/c630ef0c-1f19-4237-a60b-32eb554a88fa.jpg2023 | Kart: Practical Data Versioning for rasters, vectors, tables, and point clouds - Robert CoupFOSS4G 2023 Prizren Kart is addressing the lack of versioning tools in the geospatial field, providing an open and practical solution for managing datasets efficiently and improving collaboration. This tool offers features such as a QGIS plugin and supports various data types, including raster and point cloud datasets. By demonstrating Kart's capabilities, including versioning, spatial filtering, and data access techniques, users can understand how it streamlines dataset management, eliminates data duplication, and ensures compatibility across different formats and ecosystems. Ultimately, Kart enhances collaboration within teams and organizations, enabling easy tracking of changes and optimizing time utilization in geospatial projects.https://video.osgeo.org/videos/embed/4a90fb89-b5df-40f5-8a3c-b8a27ee7a890https://video.osgeo.org/w/jyPYKKDN5mSwGJyNk89Mvshttps://video.osgeo.org/lazy-static/thumbnails/28cf75e7-3748-4bf4-8793-0d8983b36309.jpg2023 | Data Governance with Open Metadata Integrating OGC - CSW ServicesFOSS4G 2023 Prizren Presenters: Walter Shilman & Ariel Anthieni The Open Metadata platform allows the integration of data and metadata for the management of governance within an organization to integrate different sources, control its publication, its access, standardize the processing and even to be able to analyze the lineage. What we are going to share is the adaptation of one of the data sources to the OGC - CSW service to be able to consume the cataloged metadata transparently in the system.https://video.osgeo.org/videos/embed/9659dd45-158a-4394-8e6d-ac1491494f10https://video.osgeo.org/w/bmTAx6bnoY4dE4csDp8iFHhttps://video.osgeo.org/lazy-static/thumbnails/04eee05d-8fea-47b3-9dd3-ed7fa960a0f9.jpg2023 | Rethink geo/open metadata edition in GeoNetwork - Gravin FlorentFOSS4G 2023 Prizren This presentation is the follow up of the datahub paradigm presented last year: The confluence of geo data and open data. This time we will look at the metadata edition and maintenance aspect. Writing metadata to describe a dataset is an essential part of managing a catalog. Each record in a catalog has been written, or at the very least enriched, by actual humans. GeoNetwork is a very widely used open-source metadata catalog; as such, it offers powerful tools in this regard: custom edition forms, batch editing, templates, custom XSL processing, advanced edition in XML, etc. Despite all these features, authoring metadata is often felt as a difficult process, involving complex actions, convoluted validity rules and an intricate knowledge of metadata schemas like ISO19139. Our vision for this new metadata editor can be summed up in three phrases: - Make metadata accessible to everyone - Forget about metadata schemas - Build your own editorhttps://video.osgeo.org/videos/embed/53e60f0f-25d5-437e-91bc-8167d730e90bhttps://video.osgeo.org/w/hg34kvwLnNPJAqNxEnr4GLhttps://video.osgeo.org/lazy-static/thumbnails/c1d22d60-4132-4a43-955a-4a4c9c3b6ec8.jpg2023 | Open Data for Geospatial: Opportunities and Challenges - DimpleFOSS4G 2023 Prizren Open data and geospatial technology have the potential to revolutionize decision-making processes across a variety of sectors, including urban planning, disaster response, environmental management, and more. However, the use of open data in the geospatial domain poses its own set of challenges, including data quality, reliability, and standardization concerns. Managing, maintaining, and updating large datasets can also be resource-intensive, posing a challenge for organizations and communities that rely on open data. This talk will explore the opportunities and challenges of using open data in the context of geospatial technology. The presenter will begin by discussing the potential benefits of open data, including increased transparency, improved collaboration, and the ability to make more informed decisions. They will then delve into the key challenges of using open data in geospatial contexts, including issues related to data quality and reliability, standardization, and the sheer volume of data. They will explore strategies for managing and maintaining large datasets, such as crowdsourcing and automated data processing, and discuss best practices for ensuring data quality and reliability. This talk is relevant to anyone interested in the intersection of open data and geospatial technology, including data scientists, GIS professionals, policymakers, and community leaders. Attendees will come away with a deeper understanding of the opportunities and challenges of using open data in geospatial contexts and gain practical insights on how to leverage this data to drive social and economic impact. By the end of the talk, attendees will be equipped with the knowledge and tools they need to make the most of open data in the geospatial domain.https://video.osgeo.org/videos/embed/83aba4a2-728a-4c8f-bc35-f759d9a09760https://video.osgeo.org/w/hK36XZQX7psWBrLKmAwAqZhttps://video.osgeo.org/lazy-static/thumbnails/e7c489b5-db9f-461e-9acf-bb9015a4c683.jpg2023 | Why FOSS4G Needs a Global Open Data Platform - Christopher BrownFOSS4G 2023 Prizren In recent years, the software industry has witnessed a remarkable trend away from traditional standalone applications and towards online multiplayer platforms that offer users a more integrated and collaborative experience. As this trend continues, it is becoming increasingly important for open source tools to stay competitive by providing seamless access to data and connectivity. In this talk, the presenter will introduce mapstack, outline their mission to bring all of the world’s open location data together in one place, and share their thoughts on how such an unprecedented open resource will benefit the wider FOSS4G ecosystem.https://video.osgeo.org/videos/embed/87947f21-1c90-4c50-b8ff-b7db1a8ffb81https://video.osgeo.org/w/t4PJDB5J1hpbDohXnwLNjJhttps://video.osgeo.org/lazy-static/thumbnails/3c297797-1d69-48e3-a386-4e73a5099ef9.jpg2023 | OSGeo and OGC MoU: one year later!FOSS4G 2023 Prizren Presenters: Codrina Ilie, Joana Simoes, Angelos Tzotsos & Tom Kralidis In January 2022, OSGeo and OGC signed a new and updated version of the Memorandum of Understanding (MoU) that aims to maximize the achievement of the mission and goals of the two organizations: promoting the use of Open Standards and Open source software within the geospatial developer community. Identifying open source technologies that could be used as Reference Implementations for OGC Standards and validating OGC compliance tests are examples of activities that can take place within the scope of the agreement. More than one year after the agreement was signed and almost one year after it was introduced to the OSGeo community in a keynote at FOSS4G 2022, this presentation will summarize all activities accomplished and future plans, including the establishment of the OSGeo Standards Committee within OSGeo and the organisation of the 3rd joint code sprint, in Switzerland, together with the Apache Software Foundation. The presentation will also reiterate the benefits of the new agreement, which allows OSGeo charter members to represent the priorities of OSGeo in the development of OGC Standards and supporting documents and services.https://video.osgeo.org/videos/embed/db2f649f-d3b8-4aef-87f1-f569b948e556https://video.osgeo.org/w/oS2Uam5ZaYMcAqRJ5o9xY2https://video.osgeo.org/lazy-static/thumbnails/74a6ca08-2349-4967-bbe2-85cf5aa0b27e.jpg2023 | Felt Maps for Sharing and Collaboration - Michal MigurskiFOSS4G 2023 Prizren Introducing Felt, a new map sharing and collaboration product. We connect closely with the current ecosystem of open source mapping tools and make it easier to work together with colleagues inside and outside mapping. In this talk, we will show: - How current users of programs like QGIS bring Felt into their workflows - Where Felt lets them expand into new areas like community feedback - How we’ve used and expanded core OSS libraries like MapLibre, GDAL, Pelias, and Tippecanoe - Why we’re pushing forward emerging formats and standards like PMTiles Session attendees will gain an important new tool for their stack, a product made for extending the reach of existing open source mapping tools and improving collaborative map-making beyond analysis.https://video.osgeo.org/videos/embed/b92568d6-880a-4aa9-85ef-e603e56fd42dhttps://video.osgeo.org/w/oa7RiqEw8aVQbaeHXiJiZDhttps://video.osgeo.org/lazy-static/thumbnails/03065ab2-a29d-43be-974d-103fed9b3d4d.jpg2023 | QFieldCloud - seamless fieldwork for QGIS - Marco BernasocchiFOSS4G 2023 Prizren QFieldCloud enables the synchronisation and consolidation of field data collected by teams using QField. From small individual projects to large data collection campaigns, the platform allows you to manage the collaboration of multiple people on the same project, assign different roles and rights to different users, work online and offline, and keep track of changes made. In 2022, QFieldCloud was testable as a beta version. Already during the beta phase, over 40,000 registered users synchronised their projects via the platform. Beginning of 2023, the official version was released. A brief overview of how QFieldCloud works and how the platform is built is given.https://video.osgeo.org/videos/embed/b36ef746-5415-42c8-bd11-eaf7b2e8a833https://video.osgeo.org/w/3uggZ8mU1yNzYFPVUGy1wfhttps://video.osgeo.org/lazy-static/thumbnails/ab470ef0-f461-4f83-9e6f-8e1441dbf009.jpg2023 | Traffic Analysis with QGIS and GTFS: GTFS-GO - Iguchi KanahiroFOSS4G 2023 Prizren GTFS is stands for General Transit Feed Specification, which is developed by Google and used for describing schedules of public transpotation. A bunch of dataset is distributed in the world and GTFS includes geospatial information - stops and routes. To utilize such intresting data, we have developed GTFS-GO - QGIS plugin to process GTFS. You can translate GTFS to GIS data and visualize them by GTFS-GO. The plugin can be used for analyzing public transportaion by aggregating traffic frequencies on each stop or route. In this talk, you can see how GTFS is visualized or analyzed by using GTFS-GO on QGIS.https://video.osgeo.org/videos/embed/1424844d-4cf4-4b88-b287-b710999afe9ahttps://video.osgeo.org/w/aroPYEng3KPGQXGoT3QhGhhttps://video.osgeo.org/lazy-static/thumbnails/9e98db2e-53f4-4691-bffc-75f3c4382e8a.jpg2023 | OSGeoLive project report - Astrid Emde & Angelos TzotsosFOSS4G 2023 Prizren OSGeoLive is a self-contained bootable DVD, USB thumb drive or Virtual Machine based on Lubuntu, that allows you to try a wide variety of open source geospatial software without installing anything. It is composed entirely of free software, allowing it to be freely distributed, duplicated and passed around. It provides pre-configured applications for a range of geospatial use cases, including storage, publishing, viewing, analysis and manipulation of data. It also contains sample datasets and documentation. OSGeoLive is an OSGeo project used in several workshops at FOSS4Gs around the world. The OSGeoLive project has consistently and sustainably been attracting contributions from ~ 50 projects for over a decade. Why has it been successful? What has attracted hundreds of diverse people to contribute to this project? How are technology changes affecting OSGeoLive, and by extension, the greater OSGeo ecosystem? Where is OSGeoLive heading and what are the challenges and opportunities for the future? How is the project steering committee operating? In this presentation we will cover current roadmap, opportunities and challenges, and why people are using OSGeoLive. - Project page https://live.osgeo.org - Link to the presentation https://live.osgeo.org/en/presentation.htmlhttps://video.osgeo.org/videos/embed/4c6de8f2-1fff-4c0a-b63d-4d6647c35860https://video.osgeo.org/w/itgxBfVHAcifh3AkZioiryhttps://video.osgeo.org/lazy-static/thumbnails/5490df0b-7743-4cc0-b7e3-2ab7e69441b6.jpg2023 | Teaching GI with FOSS Tools: Update for Higher Ed Instructors - Lucas De OtoFOSS4G 2023 Prizren In recent years, the combination of technological advances and spatial data abundance revolutionised the field of geoinformation (GI). New methodologies and techniques established in other fields of knowledge proved to be relevant to keep up to date and fully benefiting from all this technological richness. Consequently, new areas of knowledge have emerged, such as geospatial artificial intelligence (GeoAI) or big geodata. Simultaneously, the formulation in 2015 of the 2030 Agenda for Sustainable Development and its multiple goals by the United Nations (UN), impose a specific framework for the application and further development of geoinformation science. Furthermore, the recent COVID-19 pandemic accelerated the transition towards different modalities of distance education as well as the arrival of multiple digital instruments to fulfil this purpose. At the same time, the use of free and open-source software (FOSS) keeps gaining momentum, standing out as the best technological solution to attain sustainable and democratic approaches to geospatial problems. All these factors have profoundly impacted the way of teaching with GI and about GI. Both technical and socio-emotional skills required to successfully perform as a GI scientist in the near future are changing. And so are the means to learn those skills. As a result, the training curriculum for educators in this field is being revised and updated. In this presentation, we will first discuss the challenges currently faced by educators in the field of GI and explore new didactic and pedagogical proposals to overcome them. We will analyse how teaching GI science in academic settings (i.e., high school, university) differs from teaching it to staff members at public organisations. We will then explore how to successfully implement the ADDIE (i.e., Analyse-Design-Develop-Implement-Evaluate) model of instructional design in both settings. Finally, we will explore together in detail a recently ...https://video.osgeo.org/videos/embed/8d7a04d8-db5f-4eff-96aa-598116bb810ehttps://video.osgeo.org/w/xAn4JHi9soekxNBbvhbQUyhttps://video.osgeo.org/lazy-static/thumbnails/015f29aa-ec23-4625-aae5-100acfbffd52.jpg2023 | Agroforestry in the Alas Mertajati of Bali, Indonesia.- Marc BöhlenFOSS4G 2023 Prizren  A case study in applying AI and GIS to sustainable small-scale farming practices.  This study focuses on the use of satellite imagery and machine learning to detect agroforestry practices in the complex Alas Mertajati region in Bali. Historically, small-scale food production hasn't been a priority for AI-supported analysis of satellite imagery due to limited image resolution and the challenge of articulating the needs of small-scale farmers. However, this study demonstrates the potential of applying satellite assets and machine learning to identify agroforestry, a common small-scale farming practice in Southeast Asia.  Agroforestry involves compact spatial units with various tree and plant species. These small plots are manually tended and provide a continuous source of food. They also help reduce landslides, making them resilient to climate change. However, detecting agroforestry in satellite imagery with statistical approaches is challenging due to plot size and plant diversity.  The study uses the latest Planet Labs satellite imagery, offering spectral information to detect agroforestry practices in Alas Mertajati. Machine learning algorithms were employed to create classifiers, producing the first-ever maps of agroforestry in Bali. Local communities provided valuable ground truth data, improving classification accuracy and map readability. Additionally, the study highlights the COCKTAIL software repository, simplifying GIS land cover classification and data management, especially in resource-constrained environments. This research not only advances agroforestry detection but also emphasizes the significance of ground truth data and effective science communication in remote sensing projects.https://video.osgeo.org/videos/embed/ffd7916b-be76-45aa-9d5d-6ff003960258https://video.osgeo.org/w/oJggZpd9MCnkuH4s6dg3Dohttps://video.osgeo.org/lazy-static/thumbnails/923d7d92-b6d9-4dfa-b30c-43e7d753d7ef.jpg2023 | Human-wildlife conflict and road collisions with ungulates - Marco CiolliFOSS4G 2023 Prizren Human-wildlife conflict and road collisions with ungulates. A risk analysis and design solutions in Trentino, Italy This study delves into the critical issue of wildlife vehicle collisions, particularly concerning Roe deer and Red deer in the Italian Autonomous Province of Trento (PAT), a mountainous region with significant tourist activity. Over the last decade, this area has witnessed around 700 annual collisions, often resulting in animal fatalities, extensive vehicle damage, and occasional human casualties. The escalating problem in this highly populated Alpine environment necessitates urgent solutions. To address this issue, this study employs FOSS4G tools to pinpoint road sections with the highest collision rates and design practical solutions to mitigate these hotspots. The approach combines geostatistical analysis and in-depth examination of factors such as road morphology and land cover. FOSS4G tools like QGIS and GRASS GIS facilitate data processing, analysis, and map generation, while environmental covariates like forest coverage and ecological corridors, along with collision data from the Provincial Wildlife Service, inform the analysis. This study also includes on-site inspections to tailor mitigation solutions to each hotspot, ranging from underpasses and overpasses to fences and road tunnels. These interventions aim to reduce collisions with ungulates and have been cost-estimated for implementation. Additionally, the study classifies road sections into five categories based on collision frequencies, creating a valuable planning tool for the provincial government. Overall, this research not only offers practical solutions for mitigating human-wildlife conflicts but also highlights the potential of FOSS4G in designing effective interventions and inspiring further research in this field.https://video.osgeo.org/videos/embed/b80fb3ec-f3cd-4b49-af8d-810f62f7caf8https://video.osgeo.org/w/7cQjTof4jw9rmQXJFREp4yhttps://video.osgeo.org/lazy-static/thumbnails/642f9ac6-a59e-4b70-a21a-4272dc5d7b3b.jpg2023 | Methods and Evaluation in the Historical Mapping of Cities - Michael PageFOSS4G 2023 Prizren This talk discusses the use of (re)mapping and spatial modeling to create data-rich platforms for exploring urban histories and engaging scholars and the public. It highlights the application of geospatial technologies to extract data from various sources, build historical data models, and develop web-based dynamic map interfaces. The paper centers around the OpenWorld Atlanta (OWA) project, which aims to provide public access to historical information about Atlanta during the late 19th and early 20th centuries. OWA draws data from historical maps, city directories, archives, newspapers, and census data to facilitate spatially grounded research questions. Notably, the project focuses on Atlanta's transformative period in the 1920s, driven by population growth and infrastructure development, amidst the backdrop of racial discrimination under "Jim Crow" laws. OWA is built on open-source methods and philosophy, employing tools like Leaflet to pull spatial data and map overlays from Emory's Geoserver. Furthermore, the project utilizes Omeka, an open-source content management system, to manage digital content, including images, documents, and metadata. Metadata plays a crucial role in connecting geospatial features to records and digital objects. The platform incorporates many vector layers, including administrative boundaries, roads, rail lines, and buildings, allowing exploration based on specific years and themes. Usability and user experience studies are conducted to improve the platform's interface, user flow, and overall functionality, with a focus on accommodating diverse user groups. Overall, OWA serves as an example of how geospatial technologies and open-source methods can be used to create engaging platforms for exploring urban histories and fostering interdisciplinary collaboration between researchers and students.https://video.osgeo.org/videos/embed/323dcb8f-046f-4b8b-9a95-6aa5b992606ahttps://video.osgeo.org/w/s2f9S8EeF9W2L8E8q6Hg5rhttps://video.osgeo.org/lazy-static/thumbnails/caaf0c1a-8db6-4e3b-a869-7631188c5f18.jpg2023 | Comparing ML Methods for Mapping Bark Beetle in Croatia - Nikola KranjčićFOSS4G 2023 Prizren This talk explores various machine learning approaches to map bark beetle infested forests in Croatia, a threat to forest ecosystems. The study utilizes open-source software like QGIS and SAGA GIS, employing Copernicus data from the Sentinel 2 satellite imagery. Machine learning methods investigated include maximum likelihood classification, minimum distance, decision tree, K Nearest Neighbor, random forest, support vector machine, spectral angle mapper, and Normal Bayes. Among these, maximum likelihood classification is regarded as highly accurate and is commonly used for classifying remotely sensed data. Minimum distance classification is a simple template matching technique, while decision trees are used to identify strategies for achieving specific goals, making them valuable in machine learning. K Nearest Neighbor classifies data points based on the similarity of their neighbors. Random forests, on the other hand, construct multiple decision trees for tasks like classification and regression. Support vector machines are robust prediction tools for classification and regression. The study also explores spectral angle mapper, which measures spectral similarity, and Bayesian networks, specifically Normal Bayes, which uses probabilistic graphical models for predictions. The research evaluates each method using error matrices and compares their performance. The error matrices include a Kappa value, a statistic used to measure inter-rater reliability for qualitative items. All analyses are conducted in the Primorsko-goranska county of the Republic of Croatia. In summary, this paper investigates various machine learning methods for mapping bark beetle infested forests in Croatia using Sentinel 2 satellite imagery and open-source software. The study compares the performance of these methods through error matrices and Kappa values, aiming to find the most accurate approach for addressing this ecological threat in a specific geographic region.https://video.osgeo.org/videos/embed/d2ba1228-0762-4048-b1b6-9e0320dc2c95https://video.osgeo.org/w/aaiH5UTfQRPz97ti7tMpz9https://video.osgeo.org/lazy-static/thumbnails/548a08a2-0965-4368-a3a1-870b87aa3f93.jpg2023 | QGIS 3D, point cloud and elevation data - Saber RazmjooeiFOSS4G 2023 Prizren Since introduced QGIS 3D in 2017 was introduced, it has gone through major improvements. In addition to new features, several new data formats have been also integrated to QGIS. This presentation will cover the latest improvements made as result of the recent crowdfunding efforts to introduce point cloud processing, enhance 3D maps for elevation data.https://video.osgeo.org/videos/embed/4a2edae3-67f7-4d67-bc78-dc38443258f6https://video.osgeo.org/w/drYj9bqrjV5rgM6byFZuU8https://video.osgeo.org/lazy-static/thumbnails/a679825d-6a3b-4fc8-a9d0-3c1f2231b6c9.jpg2023 | Creating a Peaceful & Profitable Society: FOSS4G and New Employment Opportunities - Rei KasaiFOSS4G 2023 Prizren This talk will explore how Re:Earth as a digital public good could support a "Peaceful Profitable Society" and create new employment opportunities. Re:Earth is an open source platform built around a geographic information system that digitally represents geospace and enables analysis and visualization of cities and regions. The use of such digital public goods offers opportunities to develop new ways of working and improve their own lives, especially for the socially vulnerable. In particular, they will explore the potential for vulnerable populations, such as refugees and single mothers, to use Re:Earth to pave the way for self-empowerment. We will also delve into how digital public goods such as Re:Earth can impact society as a whole, especially how they can be a tool for the vulnerable to improve their own lives and contribute to the realization of a "society where peace is profitable". This speech will provide insight into how such digital public goods can impact individual lives and society as a whole, and how they can help shape a "society where peace is profitable".https://video.osgeo.org/videos/embed/64cdf64f-8d16-450c-85b8-c2dcece3fa17https://video.osgeo.org/w/eRCXuuorqdb4pNduswDGZmhttps://video.osgeo.org/lazy-static/thumbnails/cef02f11-6699-4cb7-99ab-f13430901b58.jpg2023 | QField news - stakeout, measurements, printing and many more - Marco BernasocchiFOSS4G 2023 Prizren The mobile application QField is based on QGIS and allows fieldwork to be carried out efficiently based on QGIS projects, offline or online. Developments in recent months have added additional functions to the application that are useful for fieldwork. Examples are used to present the most important new features. Discover the most recent features like 3D-layers handling, printing of reports and atlases, elevation profiling of terrain and layers, multi-column support in feature form, azimuth values in the measuring tool, locked screen mode, the QR-code reader, stakeout functionalities, the official release of the iOS version and many more.https://video.osgeo.org/videos/embed/703505d0-85a7-417a-a968-c9faadc18986https://video.osgeo.org/w/5doJLcZpvNWCmEuXowctF3https://video.osgeo.org/lazy-static/thumbnails/53bab73b-942e-4238-9d32-9ca0e77568aa.jpg2023 | QGIS Feature Frenzy - both for the Long-term release (3.28) and the Latest release (3.32)FOSS4G 2023 Prizren Presenter: Kurt Menke QGIS releases three new versions per year and each spring a new long-term release (LTR) is designated. Each version comes with a long list of new features. This rapid development pace can be difficult to keep up with, and many new features go unnoticed. This presentation will give a visual overview of some of the most important new features released over the last calendar year. In March of 2023 a new Long-term release was published (3.28), and shortly before FOSS4G, the latest stable version of QGIS (3.32) will be released. The presenter will start by comparing the new LTR (3.28) to the previous (3.22). Here they will also summarize by category the new features found in the latest LTR (GUI, processing, symbology, data providers etc.). They will then turn my attention to the important new features found in the latest releases (3.30 & 3.32). Each highlighted feature will not simply be described but will be demonstrated with real data. The version number for each feature will also be provided. If you want to learn about the current capabilities of QGIS, this talk is for you!https://video.osgeo.org/videos/embed/221f7e02-8688-428b-abc3-8cc3228e1abchttps://video.osgeo.org/w/sUD2AqNn9aiHBqx4gFoTTshttps://video.osgeo.org/lazy-static/thumbnails/719d9818-1252-4890-ae83-e93c584e8463.jpg2023 | Open EO and FOSS4G serving Sahelian farmers and herders: lessons from the GARBAL programmeFOSS4G 2023 Prizren Presenter: Alex Orenstein In the West African Sahel, farmers and herders are critically vulnerable to climate shocks and need access to climate information to secure their livelihoods. Herders use data on pasture and water availability to move their livestock and farmers need weather predictions for planting. While satellite imagery has made much of this information readily accessible to the spatial community, few channels exist to transmit this information to farmers and herders. As a result, climate data has become more powerful than ever before, yet mostly inaccessible to those who depend on this information for their livelihoods. This talk will share the lessons of the GARBAL programme, an initiative that seeks to bridge this gap. GARBAL is a call center that uses Copernicus Earth Observation imagery and field data to provide farmers & herders with information on pasture, water and markets in Mali, Niger and Burkina Faso. GARBAL was first developed in 2015 and this talk will provide lessons from several years of practice. The GARBAL interface uses an open-source stack including PostGIS and Mapserver to create a user-friendly interface for call center agents, who then use that interface to answer questions from callers on pasture conditions, market prices and weather forecasts (among others). The talk will share lessons from the technical and programmatic aspects of the project. The technical side will go over the architecture of the data treatment, demo the interface, talk about successes and failures and show how you can play with the data yourself. The programmatic side focuses more on how the user needs evolved over the years, techniques for translating GIS data into information useful to farmers and herders, operating in areas of active conflict and how EO data fits into existing centuries-old traditional data collection systems in the Sahel.https://video.osgeo.org/videos/embed/d9e719a6-332e-4015-b03f-6b1eec3b4554https://video.osgeo.org/w/gprEAdHhGisWsTb13gfSJWhttps://video.osgeo.org/lazy-static/thumbnails/ea6a0d10-a040-47c0-adb7-cc4be71bba89.jpg2023 | Adaptation of QGIS tools in high school geography education - Jakub TrojanFOSS4G 2023 Prizren This study explores the integration of Geographic Information Systems (GIS), specifically using QGIS, into high school geography education. Educators recognize the potential of GIS to enhance students' understanding of spatial data, problem-solving abilities, and digital skills, which are crucial for future careers in various fields. However, implementing GIS in classrooms faces several challenges, including the lack of hardware, software, training, support, and time for teachers. To address these challenges, the researchers designed ten QGIS-focused lectures for high school students. They partnered with a South Moravian high school in the Czech Republic and conducted a three-month study involving second and final-year students. The research involved teaching the students, having them complete homework assignments, and testing their knowledge. The study identified three categories of student experiences: those who had no trouble following instructions, those who faced occasional problems, and those who preferred working independently. Despite some technical challenges, most students found the lectures enjoyable and demonstrated a grasp of the program's basics. They also expressed interest in integrating GIS into the geography curriculum and recommended smaller group settings for more effective learning. In summary, this study aimed to facilitate the integration of QGIS into high school geography education by designing lectures and conducting trials with students. Despite technical obstacles, the students showed enthusiasm for GIS, suggesting that with patience, good learning materials, and familiarity with the technology, GIS can become a valuable tool in educational settings.https://video.osgeo.org/videos/embed/7cbf00e1-7893-460d-b8c3-ed91cb703022https://video.osgeo.org/w/nFqrrMXmqYcVUXZ5WBmyYShttps://video.osgeo.org/lazy-static/thumbnails/5547823e-3535-48f1-8cf0-8af44446927c.jpg2023 | Teaching Geographic Information Science concepts with QGIS and the Living TextbookFOSS4G 2023 Prizren Presenter: Andre da Silva Mano In recent years, the need for distance education solutions has been a point of attention for the Faculty ITC of the University of Twente (The Netherlands). Starting in 2017, a fully online program spread over nine months offered an alternative path to start an MSc in Geo-Information Science and Earth Observation. As using proprietary software is more difficult in distance courses, the focus shifted towards open-source alternatives. The experience and lessons learned came to their full potential when, in 2020, many students could not travel due to the travel restrictions imposed by the COVID pandemic. In response, ITC offered the fully online course Principles and Applications of Geographic Information Systems and Earth Observation as the first quartile of what is supposed to be a fully presential MSc Program. The course was developed around four fundamental principles: (1) The course was exercise led; (2) Every concept taught should be demonstrated and operationalized; (3) The number of different software tools should be minimized; (4) The software tools should be inclusive and encourage technological independence. Two Open-Source tools were selected: The Living Textbook a digital textbook developed and maintained by us [1], and QGIS to operationalize the concepts. For synchronous communication and iteration, Big Blue Button Conferences were integrated into the Learning Management System environment and organized according to time zones to serve a student population spread across eight time zones. After running the course, the impact of the new set-up on students (satisfaction and performance) and staff (attitude towards open source tools and open courseware) was evaluated. Additionally, we also evaluated the impact of the course in strengthening the wider Open Science initiative. Results show that for students, both satisfaction levels and attainment levels of the course’s learning outcomes were high. For th...https://video.osgeo.org/videos/embed/af90fad2-8508-4e69-8cba-4fac82edcff2https://video.osgeo.org/w/7Mtr8mtBjziU9TkuBtomQ6https://video.osgeo.org/lazy-static/thumbnails/9691eee1-3d68-4e69-8ee6-ecdb992d5c93.jpg2023 | Lake bottom DEMs from open data with GDAL and GMT - Jukka RahkonenFOSS4G 2023 Prizren Finland is reputed to be the Land of a Thousand Lakes, but a more precise estimate is that Finland has 57000 lakes which are larger than one hectare. The precise shorelines of all the lakes have been available as open data since 2012 but the situation with the bathymetric data is not as good. Depth contours are available for about 80% of the total lake area, but oldest soundings are from the end of the 19th century. Bathymetric data of the lakes has not been considered particularly important and the old measurements have not been systematically updated and verified. Therefore, the most common acquisition method in the existing bathymetric data is still manual measurement with a plumb line through the ice. Because the depth points are frequently 75-100 meters apart, such data are only usable for creating rather approximate depth contours. However, since mid 1980s the Finnish Environment Agency, the Finnish Transport and Communications Agency Traficom, and their predecessors, have been mapping lake bathymetry with sonar sounding. In recent years these agencies have published their depth point data as open data under the CC-BY 4.0 license. These new datasets are essentially XYZ point clouds. Thanks to open source GIS programs anybody can take these datasets and create digital elevation models (DEM) of the lake bottoms, colored hillshade visualizations, 3D-models, and even traditional depth contours. This presentation will dig into the nature of the data that is collected with sonar soundings and how it affects the selection of the interpolation method. A complete open source workflow that is using GDAL and Generic Mapping Tools (GMT) will be presented. The workflow begins from raw point measurements and lake shoreline vectors, and yields a DEM, hillshade visualization with a color table, and depth contours. Results for more than 1800 Finnish lakes will be available online, but the main outcome is the workflow itself. Because only command lin...https://video.osgeo.org/videos/embed/36f0353b-1279-480c-b90c-2f6945256835https://video.osgeo.org/w/xbejQUCsMZe2sL3gWE5mJhhttps://video.osgeo.org/lazy-static/thumbnails/fa452c06-7b11-4156-bb88-29e2916971e2.jpg2023 | Kobo Toolbox Automation with Geonode for Risk Management - Walter ShilmanFOSS4G 2023 Prizren Based on the implementation of a set of forms in Kobo Toolbox, an information flow for the Fire Management Commission of the Argentine Republic was created to be able to integrate from the field the fire reports (on line / off line) in a simple way and their different stages of evolution. The automation of the ingestion to a Geonode, as a geospatial data manager allows the integration with weather forecast data, near real time information, fire incidences, hot spot detection and predictive fire indexes. The integration is done with the Airflow tool, which guarantees integration and monitoring of information flows, simplifying the process during incidents.https://video.osgeo.org/videos/embed/fc78f2aa-4795-46d6-8f62-801f84d677e4https://video.osgeo.org/w/hzm6YvcoyxhKXeEN399rgrhttps://video.osgeo.org/lazy-static/thumbnails/e2371026-47a2-4504-b6d2-2bc7ba933dcd.jpg2023 | Navigate urban scenarios with MapStore 3D tools - Stefano BovioFOSS4G 2023 Prizren This presentation focuses on the use of MapStore to navigate urban scenarios using its 3D tools and capabilities. Latest versions of MapStore include improvements and tools related to the exploitation of 3D data such as Map Views, Styling, 3D Measurements and more. Support for 3D Tiles and glTF models through the Cesium mapping library has also been greatly enhanced to provide support for more powerful integration. Attendees will be presented with a selection of use cases around the following topics: visualization of new projects for urban planning, relations between different levels of a city and descriptions of events inside a city. At the end of the presentation attendees will be able to use the presented workflows to replicate them on different urban scenarios using the 3D tools of the MapStore WebGIS application.https://video.osgeo.org/videos/embed/863a26e1-fd9a-4611-b285-5680251d7e83https://video.osgeo.org/w/qHeeTDyKwXxxzcfDy1qrW9https://video.osgeo.org/lazy-static/thumbnails/950ccb95-c4db-4516-b992-e21d3729c856.jpg2023 | Notebooks in (geo)datascience - Nicolas RoelandtFOSS4G 2023 Prizren In the FOSS4G 2021 programme, the word 'notebook' appeared ten times and the word 'jupyter' ten times too in the abstracts of four workshops and four presentations. In 2022, 'jupyter' and 'notebook' appear in two workshops and two presentations abstracts. More discreetly, at least three workshops and one scientific paper used notebooks without mentioning them. As we can see, notebooks are becoming increasingly common in data science and the geospatial world. But what is a notebook? What is it useful for? What are its limitations? Are there other platforms than Jupyter? Can we do anything other than Python? What about geospatial? Are these tools FOSS? These are some of the questions that this presentation will try to answer. (TL;DR: yes!) If you have never heard of Quarto, Observable or Org-mode, this presentation is for you.https://video.osgeo.org/videos/embed/c81cfb45-f0a9-4913-8e79-e6311c149fc8https://video.osgeo.org/w/oABkhi5RBgGShNpALx6Bs2https://video.osgeo.org/lazy-static/thumbnails/e15d7636-e668-4568-aa24-e0a62a14de60.jpg2023 | Development of QGIS based topographic data management system - Eero HietanenFOSS4G 2023 Prizren The National Land Survey of Finland (NLS) is rebuilding its topographic data management system using open source components. The new system will be based on QGIS and PostgreSQL. The goals of the renewal are: - Utilization of new technologies and standards - Advancement in the transition from producing map data to producing spatial data - Enhancement of the quality and timeliness of data - Enhancement of the production through automation and better tools The current system has been in use for over 20 years and has been developed throughout its lifespan. NLS is planning to replace the current production system after the first phase of development in 2025. In this talk, the presenter will talk about the status of the development, elaborate the main objectives of the first phase and introduce the published OS components so far. In the first two years of the development the focus was on concurrent data management by 100 operators and on the integration of the stereo mapping tools (proprietary). In addition, they have designed and implemented OS quality assurance tools to ensure the logical consistency of the features concerning the attributes, the geometries and the topology. These tools also include a topological rule set for topographic data management in PostgreSQL. They have also published some plugins for the operators to improve the digitizing workflow. To facilitate the development work, we have contributed some development tools for QGIS plugin developers. The OS publications of the service and client components of the concurrent data management tools are not yet on the roadmap although our final goal. The current process of maintaining topographic data includes some field work too. QField is the chosen OS tool for that purpose. Now, they are defining the additional functionalities needed to make the field work efficient enough and to smooth out the data transfer between the main system and the mobile application. Afterwards, they hav...https://video.osgeo.org/videos/embed/b6fe1cf3-08bf-4723-a834-1a222d342d09https://video.osgeo.org/w/4HxL2yH2sBVjWNkp3zGdaqhttps://video.osgeo.org/lazy-static/thumbnails/11c4d7e1-7774-4451-a6f5-a84b27d0c6aa.jpg2023 | New lane-detailed OpenDRIVE datasets (HD maps) from Germany openly available - Michael ScholzFOSS4G 2023 Prizren Various disciplines such as traffic simulations, driving simulations and applications in autonomous driving require highly detailed road network datasets. OpenDRIVE evolved as an open industry standard for modelling of lane-level road networks (HD maps). Acquiring such datasets is very expensive tough because it has to be done through mobile mapping in most cases. We want to introduce to the FOSS4G community two recently and openly published road network datasets from Brunswick (https://doi.org/10.5281/zenodo.7071846) and Wolfsburg (https://doi.org/10.5281/zenodo.7072631). Investment in both datasets has been funded by German authorities and covered more than 100.000 Euro. This talk will also give a short appetiser on how to use this data with free and open GIS tools.https://video.osgeo.org/videos/embed/1e187b97-97af-441a-bdf8-d8e957ae31a2https://video.osgeo.org/w/pSzX16XFKCbStPUKuAEf7yhttps://video.osgeo.org/lazy-static/thumbnails/f4ced53c-5c60-497f-a751-d335fbf43166.jpg2023 | Virtual Constellations-as-a-Service and Virtual Image Catalogs - Denis RykovFOSS4 2023 Prizren Virtual Constellations-as-a-Service and Virtual Image Catalogs Sharing remote sensing assets among multiple tenants is crucial to unlock the value of new space earth imaging constellations. In these schemes, a tenant has access to a so-called virtual constellation consisting of dedicated access to a number of assets as well as automated mechanisms to procure additional imagery from other assets. Access to this virtual constellation is mediated through a virtual catalog client-side that looks to the user as if it comes from its own dedicated assets and is fully interoperable with open-source standards for cloud optimized pipelines, such as STAC and COG. Satellogic Inc., a leader in sub-meter resolution Earth Observation data collection recently reached a three-year agreement with the Government of Albania to develop a Dedicated Satellite Constellation. This unique program derives from Satellogic's Constellation-as-a-Service model and will provide Albania with responsive satellite imagery capabilities across its sovereign territory. Two satellites, ALBANIA1 and ALBANIA2 were launched in January 2023, to provide imagery for national map generation to support emergency response, land use management as well as environmental monitoring of sustainability goals. To support this government effort they have developed a secure, encrypted end-to-end data platform, continuously updated archival imagery in dedicated client-side cloud along with support for open source standards such as STAC and COG. The presenter also discusses future directions in terms of the resulting ability to build integrations with external image processing platforms and open source data exploitation projects.https://video.osgeo.org/videos/embed/c1524c8f-a648-4511-8f33-e47df7de28c4https://video.osgeo.org/w/qaTkV3qF5WuTGXi2o6H3cthttps://video.osgeo.org/lazy-static/thumbnails/4c67a2f1-2bd1-4e35-a132-6494e69741c6.jpg2023 | Building heights: From open data to open maps - Yunzhi LinFOSS4G 2023 Prizren In the US, less than 20% of OpenStreetMap (OSM) buildings have a height tag (less than 10% globally). Providing buildings with height tags helps several use cases including 3D map visualization. At Meta, they have begun using open mapping data to estimate building heights and providing them back to the community. At the end of 2022, they used data from city GIS departments to estimate millions of heights and release them to the public through the Daylight Map Distribution (https://daylightmap.org/2022/12/02/building-heights.html). In 2023, they are using publicly available USGS/3DEP aerial lidar and releasing to the public through the Overture Maps Foundation – processing millions of square kilometers. This talk will cover the challenges, algorithm, QA process, and accuracy metrics from this effort. It is their hope that over the course of the year, they can estimate and publish heights for the majority of the buildings in the US and begin work on non-US open data sources as well.https://video.osgeo.org/videos/embed/c3bca9c9-d07f-4d8d-a579-4ab1eaa6f619https://video.osgeo.org/w/3uPu1DkVL5Kp2MxAyp9sbihttps://video.osgeo.org/lazy-static/thumbnails/21ac9125-c5d0-47f3-aaa3-a3811714abdf.jpg2023 | How to improve OpenStreetMap for the production of a hiking map - Mathias GröbeFOSS4G 2023 Prizren In preparation for a new Alpine Club map by the Institute of Cartography of the TU Dresden around Mt. Ushba in Georgia in the Great Caucasus, the decision was made to use OpenStreetMap as the primary data source for the map. As a result, the fieldwork in place contributed to OpenStreetMap to use gained information for map production by using OpenStreetMap. In the past, data import and organized mapping had already happened, leaving gaps only fillable by fieldwork. Mapping campaigns took place in 2021 and 2022. In preparation, it was necessary to identify missing or uncertain information. The catalogue of objects which should be mapped was derived from existing Alpine Club maps and the feature tags of OpenStreetMap. Several trails currently missing in OpenStreetMap were identified by collecting and comparing openly available GPS tracks, hiking guides, and old maps. The comprehensive information collection summarized the knowledge of all the sources. It became central for planning the office work on the data and organizing the extensive on-site mapping. Based on the collected information, the routes were planned in advance and during the fieldwork assigned to the mapping teams. On tour, new data was collected, which could not be obtained from aerial images such as small paths, hiking routes, guideposts, and POIs. The collection of geographical names worked similar to the collection of missing paths. After reviewing and selecting various sources, an updated set of names has been compiled. Old maps play an important role because they sometimes contain names that need to be added or allow updates for more recent documents. Combined with background literature on the region, uncertainties in assigning geographical features can frequently be solved. Asking locals helped in finding the ideal spelling. The result is a much more consistent toponym base both in the OpenStreetMap database and in the derived produced map. The presentation will share th...https://video.osgeo.org/videos/embed/14385d83-7d87-4cac-99e2-7cb91eb6deadhttps://video.osgeo.org/w/tgXzK6Mc63CAyLi27d86RRhttps://video.osgeo.org/lazy-static/thumbnails/89c0a21f-fef4-4456-9926-bb2d2d02acae.jpg2023 | The state of OpenStreetMap buildings: completeness assessment using remote sensing dataFOSS4G 2023 Prizren Presenter: Danijel Schorlemmer OpenStreetMap (OSM) is the largest crowd-sourced mapping effort to date, with an infrastructure network that is considered near-complete. The mapping activities started as any crowd-sourced information platform: the community expanded OSM anywhere there was a collective interest. Initial efforts were found around universities or hometowns of mappers. Events, such as natural disasters can also trigger a major update. The recent earthquakes in Turkey and Syria lead to a massive contribution by the Humanitarian OSM Team (HOT) of more than 1.7 million buildings in the region in less than a month after the event1. This type of activities result in a map that is of non-uniform completeness, with some areas having all building footprints in, while other areas remain incomplete or even untouched. Currently, with 550 million footprints, OSM identifies between a quarter and half of the total building footprints in the world, if we estimate that there are around 1-2 billion buildings in the world. A global view on the local completeness of buildings in OSM did not yet exist. Unlike other efforts, that only look at a subset of OSM building data (Biljecki & Ang 2020; Orden et al., 2020; Zhou et al., 2020), we have used the Global Human Settlement Layer (GHSL) to estimate completeness of the entire dataset. The remote sensing dataset is distributed onto a grid of approximately 100x100 meter tiles. In each tile of the grid, the built area of GHSL is compared to the total area of OSM building footprints. The computed ratio is measured against a completeness threshold that is calibrated using areas that were manually assessed. Using information derived from remote sensing datasets can be problematic: GHSL does not only measure building footprints: it includes any human-built structures, including infrastructure and industrial areas. Next to that, due to sub-optimal input data or failing algorithms, the dataset is not of the s...https://video.osgeo.org/videos/embed/dce12763-2edd-4de8-96c9-7f610254cf57https://video.osgeo.org/w/viHjStjkDnixdEDScHVxBqhttps://video.osgeo.org/lazy-static/thumbnails/4c77015f-88f6-4c77-be08-430ca7a4d4a7.jpg2023 | Creating The Red Book of Disaster Response for FOSS4G Community- Orkut Murat YilmazFOSS4G 2023 Prizren "As well trained and experienced members of the free software community from Turkey, we were caught off guard, when the earthquakes happened on February 6, 2023. We started mapping campaigns with HOT, we aggregate different data sources on a GeoServer installation, we did several visualizations on QGIS, but we always felt like something was missing". If we had a guideline of disaster response for free software communities, we would feel better at the beginning. This session's aim is, to prepare a dynamic guideline of disaster response actions for geospatial communities, focused on free software and open data.https://video.osgeo.org/videos/embed/ed522204-71ee-49da-8678-beee85a1de1ahttps://video.osgeo.org/w/a2MawSZMpsgC7hbHzWjvN2https://video.osgeo.org/lazy-static/thumbnails/3fef7066-ba90-44af-9225-029f582ddedb.jpg2023 | Unlocking the potential or Earth Observation combining Optical and SAR data - Miriam GonzalezFOSS4G 2023 Prizren We are currently living in an era for Earth Observations that maybe 20 years ago we could not image. Petabytes and Petabytes of data are being created, having so much data it is a good problem to have but the next question is how we can make sure that the Data created it is really being used to solve the challenges we are facing on Earth. The Copernicus Program has given us the opportunity of having Open Data from a variety of diverse sensors but at the same time more and more companies are part of the New Space era in the one commercial companies are launching Optical and SAR satellites that are complementing the Open Data sources. In their daily job doing Partnerships in the industry, the presenter has the chance to work together with most of the New Space companies trying to find the best way to promote how we all can take advantage of all the data we have available from the Open Data sources and the Commercial sources, this can be optical data working together with SAR and how it can be a game changer in many future projects in Earth Observation. This presentation will go around how in the last few years there are more options to be able to build products helping to solve earth's challenges by taking advantage of the resources we have in the New Space Industry.https://video.osgeo.org/videos/embed/4921d342-501a-4a17-9f7b-169aed566691https://video.osgeo.org/w/4AnMLrAoCuqXeTwJjSs19vhttps://video.osgeo.org/lazy-static/thumbnails/28f9085a-7cd5-4a28-acf5-58049a52e4d7.jpg2023 | Easily publish your QGIS projects on the web with QWC2 - Sandro ManiFOSS4G 2023 Prizren QWC2 (QGIS Web Client 2) is the official web application of QGIS, that allows you to publish your projects with the same rendering, thanks to QGIS Server. The environment is composed of a modern responsive front-end written in JavaScript on top of ReactJS and OpenLayers, and several server-side Python/Flask micro-services to enhance the basic functionalities of QWC2 and QGIS Server. QWC2 is modular and extensible, and provides both an off-the-shelf web application and a development framework: you can start simple and easy with the demo application, and then customize your application at will, based on your needs and development capabilities. This talk aims at introducing this application and to show how easy it is to publish your own QGIS projects on the web. An overview of the QWC2 architecture will also be given. It will also be an opportunity to discover the last new features that have been developed in the past year and ideas for future improvements.https://video.osgeo.org/videos/embed/1d1821d4-cb8b-4872-aaac-540fe1273eddhttps://video.osgeo.org/w/uZ6FbogtSwSFWp4rmQDTxshttps://video.osgeo.org/lazy-static/thumbnails/d867d6e4-33c9-433d-b733-bb7b3adc6032.jpg2023 |Interfacing QGIS processing algorithms from R - Floris VanderhaegheFOSS4G 2023 Prizren R is well-known for its unsurpassed provision of well documented statistical functions and packages in the default installation. Less well-known is its excellent support for spatial data through packages such as sf, terra, and stars. A thriving ecosystem of diverse and often topic-specific packages build on these foundations, making R a powerful command-line GIS (Geographic Information System) for reproducible research. However, dedicated GIS software (e.g. QGIS) offers specific processing algorithms that are either not available in R, or may achieve a higher level of performance than their equivalents in R. This presentation describes how it is now possible to combine the strengths of R and QGIS through R packages that interface processing algorithms provided by QGIS. These packages (qgisprocess, qgis) allow users to create data processing pipelines that combine R and QGIS algorithms almost seamlessly. This talk discusses the current state of these R packages and demonstrate the usage of their most important functions by example. Finally, it sheds light on future development directions and seek feedback from the community.https://video.osgeo.org/videos/embed/eab8c667-c9da-492a-a3e8-5afe9cbc8b54https://video.osgeo.org/w/mUmdjhCbRibuqVoJKrauDJhttps://video.osgeo.org/lazy-static/thumbnails/73db41d5-8f1a-464f-ac0b-d3e77361eab4.jpg2023 | pygeoapi project status 2023FOSS4G 2023 Prizren Presenters: Tom Kralidis, Francesco Bartoli, Angelos Tzotsos & Just van den Broecke pygeoapi is an OGC API Reference Implementation. Implemented in Python, pygeoapi supports numerous OGC APIs via a core agnostic API, different web frameworks (Flask, Starlette, Django) and a fully integrated OpenAPI capability. Lightweight, easy to deploy and cloud-ready, pygeoapi's architecture facilitates publishing datasets and processes from multiple sources. The project also provides an extensible plugin framework, enabling developers to implement custom data adapters, filters and processes to meet their specific requirements and workflows. pygeoapi also supports the STAC specification in support of static data publishing. pygeoapi has a significant install base around the world, with numerous projects in academia, government and industry deployments. The project is also an OGC API Reference Implementation, lowering the barrier to publishing geospatial data for all users. This presentation will provide an update on the current status, latest developments in the project, including new core features and plugins. In addition, the presentation will highlight key projects using pygeoapi for geospatial data discovery, access and visualization.https://video.osgeo.org/videos/embed/a945e7d0-f690-4072-b1ac-75b2d4fc8ed4https://video.osgeo.org/w/3FRs5ErQwoCM7c2dSBnBf9https://video.osgeo.org/lazy-static/thumbnails/32a77f38-6648-40e8-a722-7b879953b884.jpg2023 | pycsw project status 2023 - Tom Kralidis & Angelos TzotsosFOSS4G 2023 Prizren pycsw is an OGC CSW server implementation written in Python and is an official OSGeo Project. pycsw implements clause 10 HTTP protocol binding - Catalogue Services for the Web, CSW of the OpenGIS Catalogue Service Implementation Specification, version 3.0.0 and 2.0.2. pycsw allows for the publishing and discovery of geospatial metadata, providing a standards-based metadata and catalogue component of spatial data infrastructures. The project is certified OGC Compliant, and is an OGC Reference Implementation. The project currently powers numerous high profile catalogues such as IOOS, NGDS, NOAA, US Department of State, US Department of Interior, geodata.gov.gr, Met Norway and WMO WOUDC. This session starts with a status report of the project, followed by an open question answer session to give a chance to users to interact with members of the pycsw project team. This session will cover how the project PSC operates, the current project roadmap, and recent enhancements focused on ESA's EOEPCA, Open Science Data Catalogue and OGC API - Records.https://video.osgeo.org/videos/embed/15c2c23f-dc4c-44c8-8637-5b1baf18c758https://video.osgeo.org/w/r18Hc5jCUcBKxh7eTx8NHShttps://video.osgeo.org/lazy-static/thumbnails/085cf64a-6f2d-4abf-b21e-7086e91086b6.jpg2023 | What in-game maps can teach us - Ilya ZverevFOSS4G 2023 Prizren Let's look away from familiar continents and comfortable symbolics. When you are making an entirely new world, how do you map it? When any choice can be made from scratch, why game makers sometimes use common carthographic paradigms, or circumvent them? And given we are at a GIS conference, what can we learn from imaginary maps, that can improve our real-world work? Let's connect a Nintendo Switch to a projector and dive into games!https://video.osgeo.org/videos/embed/ca7937d3-95f1-47f1-9583-336215f9db1chttps://video.osgeo.org/w/bpFvNh2VQ1M4ZuiCX56qDUhttps://video.osgeo.org/lazy-static/thumbnails/dc5100d0-8a62-43e9-a003-ef35921f8ac4.jpg2023 | geOrchestra - project status - Emmanuel BeloFOSS4G 2023 Prizren geOrchestra is a complete spatial data infrastructure (SDI) and combines a number of widely used open source components. These include GeoNetwork as a metadata catalogue, GeoServer, GeoWebCache, GeoFence, and Jasig CAS. During this talk we will present the project and its latest developments. geOrchestra is an open source, modular, interoperable and secure spatial data infrastructure designed by people for people. The technical architecture is based on modularity and interoperability. The extensive use of the Spring Framework allows the integration of additional components. Compliance with OGC standards is central, because only then can the various components and any external IDS work together. geOrchestra is supported by an underlying server infrastructure, which can be configured in an automated way if necessary. We support deployment on Kubernetes as well as Ansible. geOrchestra has proven to be an innovative IDS in a highly orchestrated environment. Its modular architecture allows it to deploy individual components as microservices. Individual components such as GeoServer-cloud or GeoNetwork Microservices can therefore be scaled as needed. Nevertheless, an SDI must be user-friendly and adopt a user-centric approach. This is the latest development that the geOrchestra community has started to follow. New modules such as the Datafeeder simplifies the data registry and the Datahub portal makes it very easy for a user to find the right dataset. Current developments related to geOrchestra include a rewrite of the GeoNetwork metadata catalogue to provide a complete new user interface for editing metadata.https://video.osgeo.org/videos/embed/5449d832-f3bb-4439-96b2-a1839f658ddehttps://video.osgeo.org/w/9H1dqmZ6PjCvR8RjncVVwHhttps://video.osgeo.org/lazy-static/thumbnails/94352046-42c1-426c-b8dd-38931158b4ed.jpg2023 | Tracking Climate Change in Africa with open data - Peter HoefslootFOSS4G 2023 Prizren Climate Change is affecting our daily lives. Already for many years, we are interested in how this will influence agriculture and livelihoods on the African continent. This talk will show a tracking methodology with open data and opensource software. The main data source is satellite imagery from METEOSAT (MSG) as well as rainfall estimates by NOAA to show trends in the last 15 years. The presenter will share links to free data and scripts and make a list of all software used in a step-by-step guide.https://video.osgeo.org/videos/embed/4682bc5e-87e0-4ade-a756-3a286554e781https://video.osgeo.org/w/7BKbu7P11YqE1ejfU5xW7Qhttps://video.osgeo.org/lazy-static/thumbnails/cf35f605-2659-4d4b-8531-527761bb05b9.jpg2023 | Open source tooling for hydrodynamic simulation software developmentFOSS4G 2023 Prizren Presenter: Leendert van Wolfswinkel In this talk the presenter wiëë give an example of how open source tooling enables companies to fast-track software development, while simultaneously benefitting the FOSS4G community. Their use case is the development of the user interface for hydrodynamic simulation software, including editing and analysis, called the 3Di Modeller Interface. Traditionally hydrodynamic simulation software companies develop their own user interfaces, usually closely resembling GIS packages, (re-)implementing features like background maps, layer management, geoprocessing tools, and styling options. In our approach we turned it around. Instead of developing our own GIS-like software, we used QGIS to leverage development. Specifically for larger governmental agencies (where a certain well-known proprietary GIS suite is often the only GIS that employees are allowed to use), they packaged their implementation in an installer, enabling modellers to use QGIS for hydrodynamic analysis within their organisations. This approach has several advantages for users and for the FOSS4G community. For users, hydrodynamic modelling tools seamlessly integrate with the ever expanding GIS capabilities that QGIS has to offer; and users can built their own custom tooling, combining our own open libraries for hydrodynamic modelling with FOSS4G libraries like PyQGIS, Shapely, NetworkX, GDAL or QGIS. For the FOSS4G community, this approach increases the user base, including users that are into developing their own plugins, it increases sustainable memberships, and creates job opportunities for FOSS4G developers. The 3Di Modeller Interface is developed by Nelen & Schuurmans, a Dutch water and IT company, in collaboration with Lutra Consulting, a European FOSS4G company. Its development relies on several open source projects: QGIS, Shapely, GDAL, GeoAlchemy2, and NetworkX, amongst others. When we started in software development, we used open source...https://video.osgeo.org/videos/embed/3594799a-029c-41a7-be8d-cc364636043chttps://video.osgeo.org/w/epiVvti4hjozgTwBUCv4rRhttps://video.osgeo.org/lazy-static/thumbnails/b1ce2bea-d986-4af7-96a6-4f09216f33f7.jpg2023 | Modernising Tasking Manager infrastructure using Terraform, cloud-native tools and good senseFOSS4G 2023 Prizren Presenter: Yogesh Girikumar Learn how Humanitarian Openstreetmap Team uses modern tools like Terraform, AWS serverless, and other tools to modernise the collaborative mapping tool - Tasking Manager. The talk will focus on balancing infrastructure costs, cloud vendor lock-in, performance and DevOps processes. Tasking Manager is an important collaborative mapping tool that is considered a public good. In recent times, the tool has left a lot to be desired in terms of performance and availability. The HOT Tech team set out to overhaul the architecture, and deployment processes of Tasking Manager. I discuss the soon-to-go-live improvements that touch upon Terraform, AWS Serverless, CircleCI, Observability processes, and Developer Experience. Links: https://github.com/hotosm/tasking-managerhttps://video.osgeo.org/videos/embed/6c87f457-3a8c-4876-97b5-bbe376b3214fhttps://video.osgeo.org/w/pz4wVZNHWJccFJq8EBPtjahttps://video.osgeo.org/lazy-static/thumbnails/840e95f3-3942-4b05-b4ee-20e945dce976.jpg2023 | MapStore real world case study: the hybrid infrastructure of the City of GenovaFOSS4G 2023 Prizren Presenter: Stefano Bovio Born in 2016 thanks to the funding of the National Operational Program for Metropolitan Cities (PON METRO 2014-2020) the current Spatial Data Infrastructure (SDI) of the city of Genova is a hybrid infrastructure, where open source components and technologies are merged together with proprietary ones (such as the Oracle Database) in a well designed platform with respect of all national guidelines (promoted by AgID - Agenzia per l’Italia Digitale) and international standards. To support the Geoportal initiative, the city of Genova has collaborated with GeoSolutions as a company closely involved in the most important Open Source projects worldwide in the geospatial field with the aim to provide the necessary support for all the SDI stack in terms of deployment, development but also the staff training to make it autonomous as much as possible in the maintenance of the overall system. The city of Genova Geoportal as well as the wider Geospatial Infrastructure are both reachable online. A simple and at the same time robust WebGIS based on the Open Source MapStore software is provided with the inclusion of both advanced GSI functionalities and also most common geospatial tools like: - Geospatial data search via OCG Web Services and Nominatim - 2D and 3D visualization of geospatial data using a map agnostic engine supporting OpenLayers, Leaflet and Cesium for the 3D -Editing and Styling of geospatial layers - Download functions of geospatial data working on top of OGC services The aim is to provide ready-to-use tools for all users (both citizens and employed analysts worked in the PA) by leveraging the maturity of the Open Source Software as well as the simplicity of integration with the pre-existing COTS software in order to maximize the reuse of the existing infrastructure and minimize the need for customizations and a possible use of commercial support even for educational purposes. Many cross-cutting projects usual...https://video.osgeo.org/videos/embed/bedfe93b-2545-40a1-be94-4bb9d0ac5ef1https://video.osgeo.org/w/aiNxrSZQyc3qsTUn7k88dwhttps://video.osgeo.org/lazy-static/thumbnails/d28f12b3-fad4-4274-b743-8605bad38528.jpg2023 | GeoNode UI: Deep Dive on MapStore and Django integration for GeoNode - Stefano BovioFOSS4G 2023 Prizren GeoNode is a Web Spatial Content Management System that uses the Django Python web framework. MapStore is an open source WebGIS product and highly customizable framework that has been used as the default user interface to visualize catalog, map viewer and geospatial applications in GeoNode. This presentation provides an overview of the integration of the MapStore framework inside the GeoNode ecosystem and the main differences with the MapStore product, along with guidelines and references to resources for its customization and the development of custom functionality.https://video.osgeo.org/videos/embed/4b5e931d-3be9-44a0-b9ca-936588916c1ahttps://video.osgeo.org/w/kbP4rpzCVaQzMb1r71jcz5https://video.osgeo.org/lazy-static/thumbnails/82c47117-80b4-4389-a222-5fca08143027.jpg2023 | Securing Your Open Source Geospatial Stack with Single Sign On - Ian TurtonFOSS4G 2023 Prizren This talk will present a case study of how Astun implemented a single sign on (SSO) system for a large commercial client. The client stored their spatial data in a PostGIS database and provided both direct access to the database via QGis and from QGis via WMS using GeoServer to carry out the styling and rendering of the data. Staff are divided into 4 teams and then are subdivided by end client in to small groups. Some of the data in the system is restricted to just the group working on a specific problem for a specific client, other data is shared with the whole team, and some is available to the whole company. The client brief was to move their on site system to "the cloud", and to allow staff to connect to the data from anywhere in the world with only one user account and password for access to PostGIS and GeoServer data. Initially, the project planned to leverage the existing corporate Azure Active Directory system to provide the necessary authentication and authorizations. However, early experiments showed that the time between requesting a new group and it appearing on the server was (sometimes) longer than the lifetime of the new group. Astun provided an open source solution, using Keycloak to handle the user and administrator facing frontends, with user data being stored in an OpenLDAP server. It was then possible to make use of the LDAP service to perform authentication and authorization of users to both PostGIS and GeoServer, making sure that data restrictions applying in one were duplicated in the other. The talk will cover details of the process and look at some of the issues that were encountered during the project.https://video.osgeo.org/videos/embed/9b6012d4-22f2-46d6-975e-cb264024bcdahttps://video.osgeo.org/w/eRV7yzLspdf9qxt29WSSkXhttps://video.osgeo.org/lazy-static/thumbnails/39b30911-8846-4877-8688-4fcc39c8da31.jpg2023 | "COMTiles: Cloud-Optimized Format for Planet-Scale Tilesets in the Cloud" - Markus TremmelFOSS4G 2023 Prizren COMTiles is a novel geospatial data format designed to efficiently store and manage map tiles in a cloud-native environment. It addresses the limitations of existing formats like Mapbox MBTiles and OGC GeoPackage, which are not optimized for cloud deployment. COMTiles introduces a streamable index that stores tile offsets and sizes, enabling efficient retrieval from cloud object storage using HTTP range requests. The format leverages metadata based on the OGC "Two Dimensional Tile Matrix Set" specification to support various tile coordinate systems. One key feature of COMTiles is its simplified deployment workflow. Users can upload a single COMTiles file to a cloud object storage service like AWS S3, eliminating the need for complex tile server setups. This ease of deployment reduces hosting costs significantly, making it accessible even to non-GIS experts. In tests, a planet-scale OpenStreetMap tileset with 90 GB in size was deployed on Cloudflare R2 storage, incurring hosting costs of only $1.35 per month. COMTiles also offers a better user experience by reducing latency and improving tile access efficiency. Its batching approach minimizes the number of HTTP requests, especially when displaying maps in fullscreen mode. In performance tests against another cloud-optimized tile archive solution (PMTiles), COMTiles demonstrated faster decoding, reduced data transfer, and faster initial map load times. While PMTiles had a smaller index size, the additional storage cost of COMTiles proved to be negligible, given the affordability of cloud storage. Overall, COMTiles streamlines large tileset deployment, reduces storage costs, and maintains a user-friendly experience, making it a promising format for managing and deploying map tiles in cloud-native environments.https://video.osgeo.org/videos/embed/703efabc-aeab-42a1-b5fd-17bfe7f3a07dhttps://video.osgeo.org/w/99Vmq7iUfEFsVJtNWzMgvnhttps://video.osgeo.org/lazy-static/thumbnails/e128e4a6-4d6f-4279-8ae5-c536c3f663a1.jpg2023 | Digital EO infrastructures and initiatives: a review framework based on open principlesFOSS4G 2023 Prizren Presenter: Margherita Di Leo This presentation focuses on the democratization of access to Earth Observation (EO) data and the increasing volume and variety of such data. This shift has led to the concept of "bringing the user to the data," as exemplified by the European Copernicus Programme, which provides vast amounts of openly-licensed EO data for research and commercial applications. To support users in analyzing EO data, various cloud-based digital infrastructures and services have emerged, but the current landscape is fragmented. To address this fragmentation, the presentation introduces a user-centric framework for reviewing over 50 existing digital infrastructures and initiatives related to EO. The framework considers user needs and aims to identify overlaps and gaps in the existing ecosystem. It is organized around five pillars: sustainability, redundancy, user onboarding, pricing transparency, and user-centric design. Each pillar includes good practices for developing user-centric infrastructures and services, such as fostering user communities, using open source licensing, adopting open standards, and providing user-friendly documentation. The review of digital EO infrastructures using this framework reveals common limitations, including challenges related to dataset discoverability, steep learning curves, transparency of services and pricing, interoperability, and long-term sustainability. However, it also identifies promising initiatives that adhere to good practices, such as the OpenEO API initiative and the infrastructure of the Open Earth Monitor project, which prioritize open principles and user engagement. This review aims to help both users and providers of EO infrastructures and initiatives by promoting collaboration, identifying improvements, and enhancing the overall user experience in accessing and analyzing EO data.https://video.osgeo.org/videos/embed/4207f053-8879-4bbc-8fd8-5f41fc294a9bhttps://video.osgeo.org/w/uTGxJFTUagnxtnwGdABRbghttps://video.osgeo.org/lazy-static/thumbnails/17898033-c573-4d3f-ba6a-85526568e1ae.jpg2023 | Impact of Geolocation Data on Usability in Augmented Reality: A Comparative User TestFOSS4G 2023 Prizren Presenter: Julien Mercier This presentation discusses the development of a location-based augmented reality (AR) application for educational field trips, with a focus on addressing usability challenges and improving geolocation accuracy. Initially, a proof-of-concept AR application was created for visualizing geospatial biodiversity data, revealing the potential of AR in education but also usability issues. Three main challenges were identified: enabling non-experts to create AR experiences using open geospatial data, allowing users to publish observations in AR, and addressing the instability of points of interest (POIs). To tackle these challenges, a cartographic authoring tool was designed, leveraging open web frameworks and user-centered methodologies. This tool enables the creation of AR learning experiences by importing open geospatial data and customizing POIs with media attachments. The application offers flexibility in triggering location-based media and sharing environments publicly or for visualization only. A user test compared the use of different geolocation data types, revealing the significant impact of varying data sources on usability. Unexpectedly, combining the AR application with more accurate geolocation data did not lead to better usability, possibly due to jittering caused by RTK positioning systems. The findings emphasize the importance of geolocation data quality and its impact on the usability of location-based AR applications. The study's results will inform further research into hardware and software solutions to enhance geolocation data accuracy and usability in similar educational contexts.https://video.osgeo.org/videos/embed/e9f7cd86-6e4f-44eb-9671-1d98d501754fhttps://video.osgeo.org/w/5UpCMu7k2ftBGC6WZpwojhhttps://video.osgeo.org/lazy-static/thumbnails/bbad68b4-55d6-46c5-89bf-726385b7aa3d.jpg2023 | Mobile mapping solutions for management of traffic signs in Open-Source GISFOSS4G 2023 Prizren Mobile mapping solutions for the update and management of traffic signs in a road cadastre free open-source GIS architecture Presenter: Federica Gaspari This presentation discusses a case study on adopting a mobile mapping solution for documenting the state of traffic signs in the Province of Piacenza, Italy. It explores how free and open-source software, including PostgreSQL and QGIS, is used to create a digital cadastre with GIS and WebGIS functionalities. The aim is to replace the old paper-based documentation process with mobile applications like Qfield and ODK Collect, improving accuracy and efficiency in recording traffic sign data. The study involves understanding the needs of users and evaluating the compatibility, usability, and customizability of the chosen mobile mapping solutions. Field surveys with diverse users, ranging from non-technical individuals to GIS technicians, are conducted to test these applications. Data collected with both applications are then validated in the QGIS environment, comparing it with ground truth data collected through photos. This work not only presents a practical use case of mobile mapping in public administration but also highlights the potential of free and open-source tools like QGIS and ODK Collect in improving data accuracy and accessibility. It emphasizes transparency by documenting the entire workflow on a dedicated Github repository, making resources and codes openly available for others in the FOSS4G community.https://video.osgeo.org/videos/embed/27b5cbb8-3918-4363-95b1-b84418f2f0fchttps://video.osgeo.org/w/vzF7v8b6h1WokpgBzwYMnEhttps://video.osgeo.org/lazy-static/thumbnails/9ecf110d-26d7-4a7c-a473-8d75ca23aebd.jpg2023 | Implementing hexagonal on-the-fly binning metrics for urban georeferenced social media dataFOSS4G 2023 Prizren An application-oriented implementation of hexagonal on-the-fly binning metrics for city-scale georeferenced social media data Presenter: Dominik Weckmüller This presentation focuses on utilizing georeferenced social media (SM) data for informed municipal policy-making. It emphasizes the need for customized visualization techniques for SM data, addressing challenges beyond traditional cartographic methods. The study explores various statistical metrics and visualization approaches, particularly the signed chi metric and hexagonal binning, for frontend applications like dashboards. The problem statement identifies challenges related to SM data, including limited access, noise from super users, and a lack of research for municipal-level data visualization. The research interest lies in proposing a system of metrics for data processing and visualization, catering to different user needs. Three key metrics are evaluated: absolute values, relative values, and the signed chi metric, with the latter showing promising results in dealing with the complexities of SM data. The presentation provides insights into the application of these metrics and their practical use in understanding geospatial SM data for decision-making.https://video.osgeo.org/videos/embed/ef8cab53-652c-4d2b-b28a-7e3b527bc3bchttps://video.osgeo.org/w/dsWETtqAnTDqF4JL6cUUXahttps://video.osgeo.org/lazy-static/thumbnails/f5165bb4-bb54-4621-96f7-b46b07016e4c.jpg2023 | When vector tiles are not enough: advanced visualizations with deck.gl - Marti PericayFOSS4g 2023 Prizren Deck.gl is a framework for visualization, animation and 3D editing of large volumes of data (up to millions of points), in the browser, with optimal performance thanks to WebGL technology and the computing power of the GPU. Deck.gl is prepared to work seamlessly with WebGL based map libraries such as MapLibre GL JS, Mapbox GL JS or Google Maps. It extends their capabilities with a large number of formats, data types and layer visualizations, such as point clouds (tessellated or not), real 3D vector data, 3D models, on-the-fly clustering, trip animations, GPU filtering, etc. The deck.gl code is not only free, but designed with extensibility in mind, making it very easily customizable. In this presentation 4 use cases developed for companies and administrations with specific needs will be showed. The presenter chose deck.gl (over Mapbox/MapLibre alone) to provide rich interactivity and the ability to visually analyze large amounts of data. They will expose the challenges we faced and how deck.gl was used: 1. Information system for precision irrigation: in a region of 25,000 plots, we show animated time series of evapotranspiration data, vegetative vigor, or water needs during an annual cycle. 2. Biodiversity world map: instant loading of a dataset of 200,000 points with GPU filtering, providing interactivity and refresh rates far beyond the ones offered by Mapbox or MapLibre. 3. Precision topographic measurements on terrain surface models: visualization of point clouds, terrains, textures, contour lines and other vector cartography in 3D, multi-profiles, and in-browser 3D editing. 4. Urban data control panel: from a dataset of 40,000 georeferenced records, we apply spatiotemporal and categorical filtering, 3D dynamic aggregation and symbolization, and computation of indicators and graphs in real time.https://video.osgeo.org/videos/embed/64f0b19d-f117-4052-9d60-3402248600bfhttps://video.osgeo.org/w/xtA8TqfC25Yam5K6hgEPvwhttps://video.osgeo.org/lazy-static/thumbnails/bf2eea5f-2f48-461b-b415-f0c45bbadd94.jpg2023 | The Survey of Vectortile techniques: Static vs Dynamic - Iguchi KanahiroFOSS4G 2023 Prizren Vectortile ecosystem have made big changes in Web Mapping, especially in terms of Client-side map rendering. Thesedays, costs of producing and streaming tiles have been dramatically reduced by some techniques - tippecanoe, PMTiles… and so on. However we have the problem important but unsolved yet: Dynamic tiles. Techniques which are matured and widely used are for Static tiles. Static tiles are not good at streaming data frequently updated but we sometimes need to dynamically serve such data. In this talk, I’ll survey techniques for Dynamic tiles which already exist and propose the solution for this.https://video.osgeo.org/videos/embed/fee56ad3-9bd1-4fd2-a033-df531709e2echttps://video.osgeo.org/w/7Doh5KvWvQ1QdK2pfq7GGzhttps://video.osgeo.org/lazy-static/thumbnails/76d8390b-4817-48d6-8c27-5953fd752fcd.jpg2023 | Mergin Maps: capture geo-data and share your QGIS projects with ease - Peter PetrikFOSS4G 2023 Prizren This presentation shows how Mergin Maps can be used in various real-world situations to use the power of QGIS ecosystem to speed up and effectively capture data in the field and reliably collaborate with your team. It will not dive into technical details, but focus more on general understanding of what can be done nowadays in the field of professional geo-data capturing. Do you need to capture the location of plants or animals with your personal phone? Or distribute this task to a group of volunteers without need to train them? Or your company has a network of pipes or fiber cables, you use QGIS in the office for analysis and you want to use the same map as your colleagues on site? Are you fed up with using for such tasks a camera and MS Excel or even pen and paper? This talk can show you how others solve these challenges with Mergin Maps. Mergin Maps is a free and open-source platform powered by QGIS rendering engine to capture and share geo-data with ease. It has been developed by Lutra Consulting since 2017 and it has served thousands of companies and individuals in full production for more than 2 years. It comes with Android, iOS apps that do not need any training to be used by the general public. Also a powerful server to store, version and collaborate on your QGIS projects.https://video.osgeo.org/videos/embed/35cf148f-0f6b-43ff-b187-0fbd66bfd941https://video.osgeo.org/w/go5qWKB3aGey8L8RVCw7zWhttps://video.osgeo.org/lazy-static/thumbnails/3cb080d1-ac1c-474e-8c16-f82141f77faa.jpg2023 | fAIr - Free and Open Source AI for Humanitarian Mapping - Kshitij Raj SharmaFOSS4G 2023 Prizren The name fAIr is derived from the following terms: f: for freedom and free and open-source software AI: for Artificial Intelligence r: for resilience and our responsibility for our communities and the role we play within humanitarian mapping fAIr is an open AI-assisted mapping service developed by the Humanitarian OpenStreetMap Team (HOT), designed to enhance the efficiency and accuracy of mapping efforts for humanitarian purposes. By utilizing computer vision techniques and open-source AI models, fAIr detects crucial map features from satellite and UAV imagery, starting with buildings. The service fosters collaboration with local communities, enabling them to create and train their own AI models, ensuring relevance and fairness in mapping. Through a constant feedback loop, fAIr progressively improves its computer vision models, contributing to the continuous advancement of humanitarian mapping.This talks will talk about our journey and vision for using AI.https://video.osgeo.org/videos/embed/7c8e2c47-8d5c-4c74-bc4c-15b41e72bd58https://video.osgeo.org/w/hG7isjPKmBNWhCojK7iEEZhttps://video.osgeo.org/lazy-static/thumbnails/6b293865-d1b0-4632-8c07-edbe8d14b705.jpg2023 | Running OGC API - Features as Smart Contract - Jan Schulze AlthoffFOSS4G 2023 Prizren Motivation: Emerging technologies enable hosting data and code on distributed blockchains. This has potential applications in spatial data infrastructures. A prototype was developed to assess using smart contracts for spatial data distribution via the OGC API – Features specification. The prototype resides on the 'Internet Computer (IC)' blockchain, storing code and data together. Prototype: The prototype involves data providers uploading spatial datasets, which are then stored on the IC blockchain. Users access the data through OGC API – Features. The presentation covers experiences in developing geospatial interfaces in a blockchain environment, focusing on the Motoko programming language, interfaces, blockchain costs, use cases (e.g., data distribution for smaller providers), and potential extensions (e.g., user management and metadata integration).https://video.osgeo.org/videos/embed/872bda39-d8c6-4f4d-a4fb-d3917a2bfc95https://video.osgeo.org/w/mKc63iQtz1WKv1j8JFJf9Chttps://video.osgeo.org/lazy-static/thumbnails/ded2c5cb-4628-43a8-9342-d62d263ecbc8.jpg2023 | B6, Diagonal's open source geospatial analysis engine - Andrew ElandFOSS4G 2023 Prizren Diagonal is a steward-owned data science consultancy working with projects in the built environment. We build interactive tools to help people understand the tradeoffs inherent in their plans to evolve cities. Our tools are powered by B6 - an in-memory geospatial analysis engine we built to work with large data sets describing the built environment. We typically use it work work with OpenStreetMap and open government data. To enable others to repeat our analyses, we recently released B6 as open source. In this talk, we'll give an overview of B6, including how it's implemented, and how we use it in our commercial work.https://video.osgeo.org/videos/embed/a7fe967d-5aae-40d8-9402-d570706224echttps://video.osgeo.org/w/dTd1zBSxUvSVC4EyCdiwX1https://video.osgeo.org/lazy-static/thumbnails/f0b52e76-4448-48ac-b77e-01edd4d01317.jpg2023 | Implementing OGC API - Processes with prefect and pygeoapi - Ricardo Garcia SilvaFOSS4G 2023 Prizren The Open Geospatial Consortium API family of standards (OGC API) are being developed to make it easy for anyone to provide geospatial data to the web, and are the next generation of geospatial web API standards designed with resource-oriented architecture, RESTful principles and OpenAPI. In addition, OGC APIs are being built for cloud capability and agility. The OGC API - Processes standard supports the wrapping of computational tasks into executable processes that can be offered by a server through a Web API and be invoked by a client application. The standard specifies a processing interface to communicate over a RESTful protocol using JavaScript Object Notation (JSON) encodings. Typically, these processes execute well-defined algorithms that ingest or process vector and/or coverage data to produce new datasets or analyses. pygeoapi is an open source Python server implementation of the OGC API suite of standards. The project emerged as one of the most effective reference implementations that provides the capability for organizations to deploy OGC API endpoints using OpenAPI, GeoJSON, and HTML. pygeoapi is built on an extensible plugin framework in support of clean, adaptive data integration and easy customization. Prefect is an open source data workflow orchestration platform developed in Python. It provides robust orchestration of workflows and offers a large set of features that range from monitoring to supporting cloud storage, to periodic execution, etc. It is a robust and very capable workflow engine, which is a perfect fit for managing execution of OGC API – Processes requests in pygeoapi. This presentation will provide an overview of the prefect process manager plugin for pygeoapi and will demonstrate: - How to use pygeoapi for handling OGC API - Processes use cases - How the pygeoapi prefect plugin is a good match for managing the execution of processes and what are its main strengths as a geospatial data processing pla...https://video.osgeo.org/videos/embed/6853ff63-75dd-440f-9052-134e43bed096https://video.osgeo.org/w/cs52P6aURu9UdoED2DN8amhttps://video.osgeo.org/lazy-static/thumbnails/33d2caf4-56df-4b72-8c6f-6729081231ab.jpg2023 | BBOX – a modular OGC API server - Pirmin KalbererFOSS4G 2023 Prizren BBOX is a new OGC API Open Source implementation, with support for established OGC services driven by MapServer or QGIS Server. BBOX is implemented in Rust, with a built-in high-performance web server. Supported OGC API Services: * OGC API - Maps, with support for OGC WMS 1.3 * OGC API - Tiles, with support for WMTS and XYZ endpoints * OGC API - Features * OGC API - Processes, with multiple processing engine backends Enterprise ready: * Authentication / Authorization * Instrumentation + Monitoring * First class Docker support Simple usage: * bbox-server serve –map alaska.qgzhttps://video.osgeo.org/videos/embed/5cb858fd-95a2-4707-af15-49518ccc5e7ahttps://video.osgeo.org/w/62c2dGVaoXTQtyUUhb384qhttps://video.osgeo.org/lazy-static/thumbnails/21171f9c-7fce-4e6a-853b-27224017b3e1.jpg2023 | Mastering Security with GeoServer, GeoFence, and OpenID - Andrea AimeFOSS4G 2023 Prizren The presentation will provide a comprehensive introduction to GeoServer's own authentication and authorization subsystems. The authentication part will cover the various supported authentication protocols (e.g. basic/digest authentication, CAS, OAuth2) and identity providers (such as local config files, database tables, and LDAP servers). It will also cover the recent improvements implemented with the OpenID integrations and the refreshed Keycloak integration. It will explain how to combine various authentication mechanisms in a single comprehensive authentication tool, as well as provide examples of custom authentication plugins for GeoServer, integrating it in a home-grown security architecture. Then it will move on to authorization, describing the GeoServer pluggable authorization mechanism, and comparing it with an external proxy-based solution. It will explain the default service and data security system, reviewing its benefits and limitations. Finally, it will explore the advanced authorization provider, GeoFence. The different levels of integration with GeoServer will be presented, from the simple and seamless direct integration to the more sophisticated external setup. Finally, it will explore GeoFence’s powerful authorization rules using: - The current user and its roles. - The OGC services, workspace, layer, and layer group. - CQL read and write filters. - Attribute selection. - Cropping raster and vector data to areas of interest.https://video.osgeo.org/videos/embed/28a83aa0-a599-409f-82e1-f66d374c7ab2https://video.osgeo.org/w/sF6TXeMMN15wPWmYZPthqThttps://video.osgeo.org/lazy-static/thumbnails/d61651f5-0f06-4e7d-b433-e66a63b7a51e.jpg2023 | Implementing Copernicus services at the (NVE) with Airflow and actinia - Stefan BlumentrathFOSS4G 2023 Prizren At the Norwegian Water and Energy Directorate (NVE), the OSGeo Community project actinia was introduced together with the Open Source Apache Airflow software as a platform for delivering operational Copernicus services at national scale. In the presentation, they will illustrate how Airflow and actinia work together and present current and future applications operationalized on the platform. Those applications cover currently: - Avalanches - Flooding - snow cover - lake ice More services related to NVE`s area of responsibility are being investigated, like landslides, slush flows, glacier lake outburst floods, or specific land cover changes...https://video.osgeo.org/videos/embed/d8033edd-3404-4ebf-bacf-a49dfedf54abhttps://video.osgeo.org/w/szQbfH79Nk9KZKfoUxZJP1https://video.osgeo.org/lazy-static/thumbnails/0dc0810d-6ce9-444c-860e-23d73c826030.jpg2023 | The Swiss geometadata catalogue: (GeoNetwork V4) & first results of a usability studyFOSS4G 2023 Prizren Presenter: Raphaëlle Arnaud At the end of 2022 the Swiss geodata catalogue, geocat.ch, was migrated to GeoNetwork version 4. A more modern user interface as well as a more powerful search based on Elasticsearch makes it easier to search the more than 14000 geometadata contained in geocat.ch. This new version of geocat.ch has been the subject of a usability study focusing on geodata search. Some developments based on the results of this study have been proposed to the GeoNetwork developer community. To discuss these proposals with the other users of GeoNetwork, a GeoNetwork user community should be founded and could be helpful in the further developments of GeoNetwork. In addition, the usability study showed that the search for geodata is very dependent on the quality of the information entered into the catalog. The geometadata in geocat.ch come from different organizations (direct entry or harvesting), have different spatial extents, are multilingual and some have different data models. The harmonized entries of the most important information are essential and form the basis for efficient searches. The Swiss geometadata standard (GM03), which is currently under review with the aim of simplifying and updating the Swiss geometadata model, always based on international standards.https://video.osgeo.org/videos/embed/d746d6ee-0039-4b98-af4f-23a624094c66https://video.osgeo.org/w/8HBY7cRNh97gKS4ueX5puPhttps://video.osgeo.org/lazy-static/thumbnails/4afbbcdc-1df0-48c9-a60f-f1b739fc27de.jpg2023 | Correlating city greening rate with local climate zones,Tirana case study, open data & tools.FOSS4G 2023 Prizren Presenter: Anja Cenameri Albania is one of the most vulnerable countries in terms of the trend of climate change in the Western Balkans. Changing weather patterns have already been observed over the last 15 years with increasing temperatures, decreasing precipitation, and more frequent extreme events like floods and droughts. Among the most affected cities is Tirana, where a time series analysis was done using FOSS data and tools. Our aim was to provide accurate map representations of local climate zones (LCZs) to track the changes of the last decade based on an open online platform running on Google Earth Engine. This is called LCZ generator and aims to use free data sources from the Copernicus Hub (Demuzere et al. 2021). The satellite data based analysis was done by using 5-15 training areas for each LCZ types. It provided a 100 by 100 m ground resolution supervised classification for the entire municipality of Tirana. The analysis shows that the quick urbanization process resulted in a decreasing proportion of green areas, and unpaved surfaces in the municipality of Tirana, which consequently increased the vulnerability of the city to extreme weather events. A large-scale map was also compiled using a free and open source Geographic Information System (QGIS), which seems to be the most effective in identifying the varying urban climate zones on the city planning level, since it shows the city's structures and even highlights the role of a building or small park (Cenameri, 2021).https://video.osgeo.org/videos/embed/3e7fa180-4ec7-4509-bb20-1b5be6c32f73https://video.osgeo.org/w/of5zvSm7hsA4Vb92cHBKFdhttps://video.osgeo.org/lazy-static/thumbnails/93b990f6-452f-41cb-a4d5-c9a6997fbb78.jpg2023 | Monitoring Inland water bodies - Aman BagrechaFOSS4G 2023 Prizren This talk describes the creation of a water quantification dataset for the entire world. Tracking changes of water-bodies over time helps in timely action to combat drought and floods. The tools used to build this dataset are all free and open source (postgis, gdal, geopandas, scipy) and are built on top of data from OpenStreetMap. The dataset is updated everyday with new measurements of lake water extent across the globe. The solution to detect and track water bodies involved fetching satellite data using STAC API, pre-processing it to remove cloud cover and invalid pixels, identifying water bodies using band ratio, converting to vector and applying post-processing filters to avoid false-positive detection to finally serve it through an API. This solution has allowed us to track and quantify changes in a lake's water extent over time with high accuracy.https://video.osgeo.org/videos/embed/b42048d4-c381-458f-b79a-f1cca5fbd916https://video.osgeo.org/w/oAY9QPboT7NirLLEh5UeAzhttps://video.osgeo.org/lazy-static/thumbnails/9eee3ab6-f5d3-453f-87cd-1e2061cdf6ea.jpg2023 | Runtime environment for the validation of the Copernicus Ground Motion ServiceFOSS4G 2023 Prizren Presenter: Vasile Craciunescu The Copernicus Ground Motion Service (EGMS) is a European Union (EU) initiative under the Copernicus program, which aims to provide near-real-time information about ground deformation caused by natural or man-made hazards. The service uses a variety of data sources, including satellite radar imagery, to monitor and analyze ground motion in areas prone to landslides, sinkholes, earthquakes, and other hazards. Given the sensitive nature of the service, EGMS product validation is a key activity in assuring the user community (especially the decision makers) of the quality of the ground motion and deformation information provided. The main goals of the EGMS validation system are as follows: to provide a reproducible environment on top of modern cloud infrastructures (with a particular focus on the European geo clouds), to enable the development of scientific tools that validate EGMS characteristics, to facilitate the reproducibility of the validation tasks, and to account for key performance indicators (which will allow shareholders to monitor the quality of the primary EGMS product). To achieve the first goal of providing a reproducible environment, they have focused on providing Terraform modules that facilitate the deployment of our software stack on any supported cloud platform. The software stack is built on top of the Kubernetes container orchestration system, which runs on top of a managed cloud environment. Kubernetes provides uniform services regardless of the underlying cloud platform. For the goals of developing the validation tools and the execution of those tools they decided on using an unified approach based on the JupyterHub solution. JupyterHub is used for providing an unified development environment based on R and Python EO software tools (based on modified Pangeo Docker images). Also Jupyter is used for executing the validation tools outside of JupyterHub by leveraging an internal python servic...https://video.osgeo.org/videos/embed/b70af1a1-8ea5-4c6d-9b2d-f70a03bdf689https://video.osgeo.org/w/564kY2LcwKUGx1tNUKxUgUhttps://video.osgeo.org/lazy-static/thumbnails/fc47eee5-9dfe-4707-bea7-5914ed3a2b03.jpg2023 | OGC API feature services built with Hakunapi - Teemu SipiläFOSS4G 2023 Prizren National Land Survey of Finland (NLS) has built multiple feature services based on the OGC API Features standard since 2019. These services provide cadastral and topographic data, buildings, geographic names, and addresses both as open and contract-based APIs. The engine behind these services is Hakunapi – a high performance server implementation to easily build “off-the-shelf” Simple Features and customized Complex Features services with geospatial data backed by a PostGIS database. Currently the OGC API Features (Part 1, 2 and 3) standard is supported. The codebase is based on Java, and it utilizes also other geospatial libraries such as JTS Topology Suite and GeoTools. Hakunapi is now Free Open-Source Software available at GitHub with the version 1.0 released in May 2023. On the last few years NLS has internally used the library for services providing both Simple Features (like traditional topographic database) and Complex Features (cadastral registry and geographic names with some hierarchical feature structures too). This talk presents key features and benefits of using Hakunapi for implementing feature services based on the OGC API Features standard. Also experiences and best practices by NLS on developing these services and our roadmap towards modern OGC API services is discussed. Demo: https://beta-paikkatieto.maanmittauslaitos.fi/inspire-addresses/features/v1/ Code: https://github.com/nlsfi/hakunapihttps://video.osgeo.org/videos/embed/2119559e-aba4-453f-aa9b-c14df66480f2https://video.osgeo.org/w/ty2hZMfu9kXg9ZSw5S4L6dhttps://video.osgeo.org/lazy-static/thumbnails/2e62d2c3-e720-4109-9a4a-840800e15b88.jpg2023 | All the way from sensor data to QGIS - Luca Giovannini & Piergiorgio CiprianoFOSS4G 2023 Prizren Low-cost AirQuality stations + open standard (OGC SensorThings) + open data (CC-BY) + open source (FROST + QGIS plugin for sensors) This is the story of 2 twin projects (namely AIR-BREAK and USAGE) undertaken by Deda Next on dynamic sensor-based data, from self-built air quality stations to the implementation of OGC standard compliant client solution. In the first half of 2022, within AIR-BREAK project (https://www.uia-initiative.eu/en/uia-cities/ferrara), the presenters involved 10 local high schools to self-build 40 low-cost stations (ca. 200€ each, with off-the-shelf sensors and electronic equipment) for measuring air quality (PM10, PM2.5, CO2) and climate (temperature, humidity). After completing the assembling, in late 2022 stations were installed at high schools, private households, private companies and local associations. Measurements are collected every 20 seconds and pushed to RMAP server (Rete Monitoraggio Ambientale Partecipativo = Partecipatory Environmental Monitoring Network - https://rmap.cc/). Hourly average values are then ingested with Apache NiFi into OGC’s SensorThings API (aka STA) compliant server of the Municipality of Ferrara (https://iot.comune.fe.it/FROST-Server/v1.1/) based on the open source FROST solution by Fraunhofer Institute (https://github.com/FraunhoferIOSB/FROST-Server). STA provides an open, geospatial-enabled and unified way to interconnect Internet of Things (IoT) devices, data and applications over the Web (https://www.ogc.org/standard/sensorthings/). STA is an open standard, it builds on web protocols and on OGC’s SWE standards and has an easy-to-use REST-like interface, providing a uniform way to expose the full potential of the IoT (https://github.com/opengeospatial/sensorthings/). In second half of 2022, within USAGE project (https://www.usage-project.eu/), we released the v1 of a QGIS plugin for STA protocol. The plugin enables QGIS to access dynamic data from heterogeneous domains and differ...https://video.osgeo.org/videos/embed/df1f5760-ed6b-4559-8d34-70e47d61aaf6https://video.osgeo.org/w/2HueVnjYQYgyue6Mwr7EQVhttps://video.osgeo.org/lazy-static/thumbnails/f45bc22d-d101-4d28-a4ee-2f37e394328e.jpg2023 | MobiDataLab - Building Bridges on the way for FAIR mobility data sharing - Johannes LauerFOSS4G 2023 Prizren MobiDataLab, an EU-funded initiative launched in 2021, focuses on advancing mobility data sharing solutions. The project comprises four key pillars, including building an open knowledge base about mobility data and developing a set of "mobility data sharing enablers" through the Transport Cloud. In the second phase, these assets become accessible to the public, fostering collaborative exploration of data, services, and solutions within Virtual and Living Labs. These labs, adhering to the FAIR principles, offer environments for stakeholders to address mobility data challenges. Challenges are drawn from a wide range of use-cases and are central to the labs' activities, inviting participants to create solutions and explore new possibilities with shared mobility data and services. Feedback from partners, reference groups, and external stakeholders, including public and private mobility data providers, municipalities, government bodies, startups, and research and industry representatives, is instrumental in making challenges transparent and promoting data sharing. As the project progresses, it is set to present its achievements and outline future plans, with a commitment to bringing these valuable tools to the broader community.https://video.osgeo.org/videos/embed/0de40968-6e8a-4250-b5d6-d466be07f56dhttps://video.osgeo.org/w/hZiCZw7hDrmAqunzVVNKXqhttps://video.osgeo.org/lazy-static/thumbnails/b94e76e7-0be0-402f-ad42-0d6dce295a8f.jpg2023 | Open Source for Geospatial Software Resources Platform for Geospatial Data ExploitationFOSS4G 2023 Prizren Open Source for Geospatial Software Resources Platform for Geospatial Data Exploitation - OSS4gEO: community led Open Innovation at ESA and beyond Presenter: Codrina Ilie This talk presents an initiative that works to develop an open, interactive, user intuitive platform for a constantly updated, comprehensive and detailed overview of the dynamic environment of the open source digital infrastructure for geospatial data storage, processing and visualisation systems. OSS4gEO is designed as a repository that functions as an extended metadata catalogue, curated by the community and a tool for metrics computation, visualisation, ecosystem statistical analysis and reporting. The initial development of the Open Source for Geospatial Software Resources platform builds on previous extensive work started in 2016 that has materialised into a pioneering overview of open source solutions for geospatial, voluntarily updated by the team. Starting in 2023, OSS4gEO has become a part of a wider ESA EO Open Innovation initiative to actively support and contribute to the EO and geospatial open source community and it is intended as a seed action to better understand, represent and harvest the geospatial open source ecosystem. There are 3 main objectives that OSS4gEO aims to achieves: (1) It aims to offer an informed and as complete as possible overview of the open source for geospatial and EO ecosystem, together with various capabilities of filtering and visualisations, within the platform as well as technical solutions to programmatically access and extract data from the database (APIs) to use in any purpose, including commercial; (2) It aims to provide guidance through the complexity of the geospatial ecosystem so that one can choose the best solutions, while understanding their sustainability, technical and legal interoperability and all the dependencies levels; (3) It aims to serve as a community building, a promoting and maintaining platform for new a...https://video.osgeo.org/videos/embed/89927bad-f1be-468a-98a2-22154189b1fahttps://video.osgeo.org/w/porNmjUGs5snU9jXSQ9rd4https://video.osgeo.org/lazy-static/thumbnails/13408ea6-c9f3-4135-a7fb-452c0e7aa983.jpg2023 | Open source geospatial software in support of the common European Green Deal data spaceFOSS4G 2023 Prizren Presenter: Marco Minghini Published in 2020, the European strategy for data sets the vision for Europe to become a leader in a data-driven society by establishing so-called common European data spaces in all strategic societal sectors. Data spaces are envisioned as sovereign, trustworthy and interoperable data sharing environments where data can fairly flow within and across actors, in full respect of European Union (EU) values to the benefit of European economy and society. The development of data spaces is accompanied by a set of horizontal legislative measures, including, among others, an Implementing Act on high-value datasets under the Open Data Directive that lays down a list of datasets (many of which being geospatial) that EU Member States public sector organisations are required to make available for free, under open access licenses, in machine-readable formats and via Application Programming Interfaces (APIs). The talk will describe the activities around open source geospatial software and open geospatial data that the European Commission’s Joint Research Centre (JRC) has performed to support the development of the common European Green Deal data space, focused on environmental data sharing and instrumental to address climate changes and environmental challenges in line with the top priority of Von der Leyen’s Commission 2019-2024. A key enabler to bring public data into this data space is the infrastructure setup for the EU INSPIRE Directive, which is technically coordinated, maintained and operated by the JRC. The INSPIRE Directive itself, together with the Directive on public access to environmental information, are currently subject of an impact assessment that might lead to a revision of the legal framework (GreenData4All initiative). This is accompanied by an overall modernisation of the technical infrastructure, increasingly based on open source software both at the Commission side (GeoNetwork for the INSPIRE Geoportal, ET...https://video.osgeo.org/videos/embed/bd64738f-7c74-48f2-b7f0-5d921acd117fhttps://video.osgeo.org/w/aPXLSYCoXC69pPZfWZBFuXhttps://video.osgeo.org/lazy-static/thumbnails/3a0ae847-539f-46b9-83c7-372d6baab708.jpg2023 | EGMS: Validating 10.000 million open geospatial ground motion timeseries at EU scaleFOSS4G 2023 Prizren Presenter: Joan Sala Calero The European Ground Motion Service (EGMS) is part of the Copernicus Land Monitoring Service (CLMS) lead by the EEA (European Environment Agency). EGMS is based on the full resolution InSAR processing (20x5m) of the European Space Agency (ESA) Sentinel-1 (S1). This massive geospatial timeseries dataset is composed by ~10.000 million timeseries distributed over 31 European countries. The baseline covers 2015-2020 and updates are being published on a yearly basis. It is publicly accessible at https://egms.land.copernicus.eu/ with a 3D viewer and download service. This open dataset consists of three product levels (Basic, Calibrated and Ortho). The Basic and Calibrated are offered at full resolution 20x5m (Line of Sight) whereas the Ortho product offers horizontal (East-West) and vertical (Up-Down) anchored to the reference geodetic model resampled at 100x100m. Sixense is coordinating a consortium responsible for the independent validation of this continental scale geospatial dataset. The validation goal is to assess that the EGMS products are consistent with user requirements and product specifications, covering the expected range of applications. To evaluate the fitness of the EGMS ground motion data service seven reproducible validation activities (VA) have been developed gathering validation data from different sources across 12 European countries: • VA1 – Point density check performed by Sixense. • VA2 – Comparison with other ground motion services carried out by NGI (Norwegian Geotechnical Institute). • VA3 – Comparison with inventories of phenomena/events performed by BRGM (French Geological Survey). • VA4 – Consistency check with ancillary geo-information carried out by NGI. • VA5 – Comparison with GNSS data performed by TNO (Dutch Geological Survey). • VA6 – Comparison with insitu monitoring data performed by GBA (Austrian Geological Survey). • VA7 – Evaluation XYZ and displacements with Corner Refle...https://video.osgeo.org/videos/embed/4f9493b2-4e5b-4002-94b1-a7a8b610add3https://video.osgeo.org/w/69DroDLRz8JiirQfs4mGMVhttps://video.osgeo.org/lazy-static/thumbnails/de06ec9e-17d3-4b8b-93a7-23ea83d8d7d5.jpg2023 | Increasing the uptake of Earth Observation services and products through European effortsFOSS4G 2023 Prizren Presenter: Codrina Ilie In this talk, the presenter introduces a European initiative with global effects that aims to support the uptake of Earth Observation (EO) data products and services by increasing European capability to generate timely, accurate, disaggregated, people-centred, accessible and user-friendly environmental information based on EO data. The initiative - Open Earth Monitor Cyberinfrastructure - is following a well defined workflow: (1) Identify gaps and needs analysis : finding out what are the bottlenecks of data platforms together with stakeholders; (2) Use open source EO computing engine : integrating EO with in-situ data to obtain improved geospatial data services and products; (3) Build better data portals: harmonise, bridge and improve existing open source platforms; Make data platforms FAIR: improve accessibility of data with open source licences and capacity building; (4) Serve concrete goals: all Open Earth Monitor activities are centred around pre-defined use cases with various stakeholders.https://video.osgeo.org/videos/embed/29b2b71e-2cbb-45e5-98d9-de9f5861c317https://video.osgeo.org/w/dCq4Q6SasHRpziraXEgyqVhttps://video.osgeo.org/lazy-static/thumbnails/0f88253b-77a9-4460-b37b-617e5027ac9f.jpg2023 | EuroGEOSS Prototype Development - Albana KONAFOSS4G 2023 Prizren Europe's significant role in Earth Observation (EO) and climate change studies, epitomized by the Copernicus program, underscores its leadership in this field. Copernicus, part of the Group on Earth Observation (GEO), contributes to improved access and utilization of open EO data for policymaking. Since 2005, GEO has championed the Global Earth Observation System of Systems (GEOSS) to foster integration and interoperability among EO platforms. EuroGEO, Europe's regional GEO contribution, represents the last leg of the EO value chain, but it currently lacks the essential interoperability for comprehensive policy support. This presentation outlines the rationale and progress behind a EuroGEOSS prototype, conceptualized by the European Commission's Joint Research Centre. Focusing on high-priority European policy use cases and addressing identified issues, the prototype will incorporate key elements like a portal, single sign-on, meta-catalog, modularity, and Machine Learning Operations (MLOps). Rather than a standalone platform, EuroGEOSS aims to be a virtual ecosystem, fostering open standards, novel technologies, and collaboration with European communities, ultimately providing scalable interoperable infrastructures. The development of the EuroGEOSS prototype, set to continue until the end of 2024, will document gaps, challenges, and future scenarios, paving the way for operationalization.https://video.osgeo.org/videos/embed/66434556-a6e7-4adb-8418-c0a3787d65fdhttps://video.osgeo.org/w/pDE5uYLSi4z4YG8zjL6iNchttps://video.osgeo.org/lazy-static/thumbnails/feda4203-b25d-4f27-9c00-ceebbc6f4057.jpg2023 | Migration strategies: Or how to get rid of a deprecated framework - Tobias KohrFOSS4G 2023 Prizren Deprecation of a used framework is a common risk for software projects. Migrations are very time-consuming and costly, without showcasing any new functional features. This can make them an unpopular task, that tends to be postponed until there is no other choice, be it for a customer or the community of an open source project. During the last decade for instance, AngularJS has been one of the most popular web frameworks around. This was not any different in FOSS4G projects, where it had been adopted in geoportals and other frontend components. With the end of the decade, active development of AngularJS came to an end and since summer 2021 no more security updates are provided. This has become a major challenge for many web ecosystems - including FOSS4G ones - where AngularJS is still very present, but will have to be replaced in the long run. This talk will present various open source projects and how they differently approach this challenge. It will reflect on lessons learned so far and aspires to provide inspiration for other projects in a similar situation. Geomapfish is a WebGIS framework that allows to build geoportals. It is a community driven project. Its frontend is based on the ngeo javascript library, which has been built on top of AngularJS and OpenLayers. Due to its wide functionality, the project’s goal is to prevent a one shot migration. It has been decided for a continuous migration based on (Lit Element) web components, that allow to integrate migrated functionalities step by step. Geoportal.lu is the national geoportal of Luxembourg. It is based on the Geomapfish framework, but has a very customized frontend. The requirement here is similar. Instead of migrating all at once, the different parts should be continuously integrated. After following the Geomapfish migration strategy based on web components at first, the project is finally migrated to another javascript framework (vue), without giving up on the continuous migra...https://video.osgeo.org/videos/embed/bf842cc0-7d04-4556-af61-217ce49d2463https://video.osgeo.org/w/6AnTxTDC6YKkQxfvop9y4yhttps://video.osgeo.org/lazy-static/thumbnails/22721ef5-b910-4f4b-ac18-d65eb76c2e43.jpg2023 | Visualizing Geospatial Data with Apache Superset - Jan SuleimanFOSS4G 2023 Prizren Apache Superset is one of the most used no-code platforms for business intelligence. It allows for the exploration and visualization of data, from simple line charts to highly detailed geospatial charts, without the need for programming skills. These charts can be published on interactive dashboards to provide users with meaningful and up-to-date information. Currently, a plug-in for visualizing cartodiagrams is in development which is based on the OSGeo projects OpenLayers and GeoStyler. This plug-in gives users the ability to use any visualization of Superset within a geospatial context, so that e.g. simple pie charts or even complex location based timeseries can be displayed on a map. Thereby, Superset becomes a powerful tool for visualizing geospatial data. This talk gives a brief overview of Superset and possible use cases while focussing on geospatial data.https://video.osgeo.org/videos/embed/2d4a788e-9f34-4434-889b-7de3f19aa9fehttps://video.osgeo.org/w/5q4eSDZEFpNcwmCUUXi1FXhttps://video.osgeo.org/lazy-static/thumbnails/1c60c9e0-8396-4ced-954e-b575677ce166.jpg2023 | Connecting SMODERP with Living Landscape QGIS Plugin - Petr Kavka & Ondřej PešekFOSS4G 2023 Prizren The Model of Living Landscape (MLL) is a set of empirical based tools for land management and landscape planning. It recognizes the complexity of the interactions between humans and the natural environment, and it aims to create a sustainable and resilient landscape that supports the well-being of both people and nature. One of the core MLL components is a process-based model for rainfall-runoff and erosion computation called SMODERP. The model operates on the principle of cell-by-cell mass balance, calculated at each time step. SMODERP (https://github.com/storm-fsv-cvut/smoderp2d) is open-source software implemented in Python language to ensure compatibility with most GIS software solutions. The current implementation supports Esri ArcGIS, GRASS GIS and QGIS. In this contribution, a new QGIS SMODERP plugin linking the hydrologic model outputs to MLL will be presented. The plugin performs the input data preparation on the background using GRASS GIS data provider, computation is done by SMODERP Python package, and results visualised with predefined map symbology in QGIS map canvas.https://video.osgeo.org/videos/embed/23c066be-91e1-41e1-ab1e-d53b797163a5https://video.osgeo.org/w/kheuMzwMyYT4KvrMqdUpuLhttps://video.osgeo.org/lazy-static/thumbnails/7bae4425-476f-46fa-8926-0e5f346f4eda.jpg2023 | GeoServer used in fun and interesting ways - Andrea Aime & Jody GarnettFOSS4G 2023 Prizren This talk introduces the core GeoServer application and explores the ecosystem that has developed around this beloved OSGeo application. Our presentation draws on the GeoServer ecosystem for use-cases and examples of how the application has been used successfully by a wide range of organizations. Each use-case highlights a capability of GeoServer providing an overview of the technology drawn from practical examples. - Andrea Amie is on hand to share success stories highlighting GeoServer use in managing vulnerable ecosystems, agriculture information management, and marine data management. - Jody Garnett will look at how GeoServer technology powers cloud services - Gabriel will look at am amazing remixes for Cloud Native GeoServer - GeoServer technology powering the OSGeo community, including GeoNode, geOrchestra - A showcase of examples collected from our user listhttps://video.osgeo.org/videos/embed/9c21da2d-5e19-48fc-ace9-808b9035e760https://video.osgeo.org/w/wpJahBwscs5mH9HBSvVkSzhttps://video.osgeo.org/lazy-static/thumbnails/5a9a610d-30a8-42a3-9a97-ab799a0caa2b.jpg2023 | Styling Natural Earth with GeoServer and GeoCSS - Andrea AimeFOSS4G 2023 Prizren Natural Earth is a public domain map dataset available at 1:10m, 1:50m, and 1:110 million scales. Featuring tightly integrated vector and raster data, with Natural Earth one can build a variety of visually pleasing, well-crafted maps with cartography or GIS software. GeoServer GeoCSS is a CSS inspired language allowing you to build maps without consuming fingertips in the process, while providing all the same abilities as SLD. In this talk, the presenters will show how they have built a world political map and a world geographic map based on Natural Earth, using CSS, and shared the results on GitHub. They will share with you how simple, compact styles can be used to prepare a multiscale map, including: * Leveraging CSS cascading. * Building styles that respond to scales in ways that go beyond simple scale dependencies. * Various types of labeling tricks (conflict resolution and label priority, controlling label density, label placement, typography, labels in various scripts, label shields and more). * Quickly controlling colors with LessCSS inspired functions. * Building symbology using GeoServer large set of well known marks.https://video.osgeo.org/videos/embed/f6423fa4-51df-48fc-a8b7-227f58ed6eb9https://video.osgeo.org/w/kxW5FY9NisoM94X8RsNNoMhttps://video.osgeo.org/lazy-static/thumbnails/99f3e375-341b-4b7f-bbd8-2d2eda18ad12.jpg2023 | MapServer Features by Example - Seth GirvinFOSS4G 2023 Prizren MapServer, a founding OSGeo projects, has been powering mapping systems since the mid 1990s. This talk gives an overview of the many features of MapServer that have been developed over the past 25 years, with a focus on advanced functionality that is not well-known as they deserve. Features will be shown using sample Mapfiles - the configuration files used by MapServer. Examples will include advanced symbology, special layer types such as graticules, charts, and contours, displaying data from S3 buckets, and more!https://video.osgeo.org/videos/embed/9e530519-325d-45fb-973b-c8830da39051https://video.osgeo.org/w/b9cJ2Ge1dhpJGw1pG2RSFahttps://video.osgeo.org/lazy-static/thumbnails/35417837-3045-4693-9abb-8fd8c49b842a.jpg2023 | What's new and coming up in OpenLayers - Olivia GuyotFOSS4G 2023 Prizren OpenLayers is a powerful web-mapping library, and it has been around for quite a while. Far from being stuck in a past state where it offered most features anyone could expect, the community of contributors and maintainers are continuously pushing it forward, rethinking orientations and taking in new trends. Be it cloud-native formats, emerging standards or drastic performance improvements, more and more innovations are becoming parts of OpenLayers feature set. This talk will give you an overview of the past few years of development, and show in how many incredibly useful ways OpenLayers can be used nowadays. We will also discover the exciting developments that are shaping up for the future, and how all this is being made possible.https://video.osgeo.org/videos/embed/52208ff4-a71d-4f11-914e-ca70df1d675fhttps://video.osgeo.org/w/wBZX2CnPWX2cpVLUTHuG7Shttps://video.osgeo.org/lazy-static/thumbnails/09a6136f-9c46-4627-92b0-11c299b3805f.jpg2023 | GeoStyler - One Tool for all Styles - Jan SuleimanFOSS4G 2023 Prizren When it comes to styling of geodata many tools have their own solution: SLD, QGIS-Styles, OpenLayers-Styles, Leaflet, … But what to do if you need to share the same style across different formats? GeoStyler brings the solution. With its standalone parsers, nearly any (layer based) style can be converted from one format to another - from SLD to OpenLayers, QGIS, Mapfile, and vice versa. On top of this, GeoStyler offers a library of React UI elements to easily create styles in your own WebGIS. This talk will give an overview of possible use cases for GeoStyler, its latest developments such as the new layout and the support for expressions, as well as past and upcoming community events.https://video.osgeo.org/videos/embed/f7f8e768-b7fa-4955-b050-9f9e120fd3fehttps://video.osgeo.org/w/w7RUFjPo7epVRtsvRfVYAWhttps://video.osgeo.org/lazy-static/thumbnails/ac486839-117f-40ac-9647-f626a63143d5.jpg2023 | State of the OL-Cesium library - Guillaume BeraudoFOSS4G 2023 Prizren OL-Cesium is a popular Open source Javascript library that you can leverage to add 3D to a new or existing OpenLayers application. You code the logics in a single place and it gets applied to both OpenLayers 2D map and Cesium 3D globe. The library handles the synchronization of the view, layers, styling, for you. This behaviour is customizable. Since its creation, 9 years ago, the library has attracted a large community of users. It has evolved to follow OpenLayers, Cesium and the global javascript ecosystem. This talk is about the strengths of the library, its state and the plans for the future.https://video.osgeo.org/videos/embed/f3e76124-b474-4340-b95e-88f78ea383d2https://video.osgeo.org/w/5RBCife1jcAzu8ShFrPt6dhttps://video.osgeo.org/lazy-static/thumbnails/2bb700d6-cffd-44bb-b6ca-87086882a4c4.jpg2023 | Geological Service of Kosovo - Luan MorinaFOSS4G 2023 Prizren Geological Service of Kosovo - Legal Infrastructure, Responsibilities & Technical - Analytical Research Capacities in Geology The presentation will be focused on the elaboration of the relevant legal basis of the Geological Service of Kosovo. In addition, the description of the main responsibilities will be made, as well as the elaboration of technical analytical capacities which enable the development of research in the field of geology.https://video.osgeo.org/videos/embed/2751f45d-fd8f-47ff-9307-e7ea34e9b742https://video.osgeo.org/w/xv4nkojyndBm2J6Pm5hN7phttps://video.osgeo.org/lazy-static/thumbnails/499dc41e-36d9-4cea-b7ea-ab8589b4746d.jpg2023 | EOReader - Remote-sensing opensource python library for optical and SAR sensors - Braun RémiFOSS4G 2023 Prizren EOReader is a remote-sensing opensource python library reading optical and SAR sensors, loading and stacking bands, clouds, DEM and index in a sensor-agnostic way. The main goal of EOReader is to simplify the access to a numerous offer of remote sensing data, providing easy to understand and sensor-agnostic functions to read, load and stack multiple bands and indices (and even DEM or cloud bands). For example, one important feature of EOReader is the mapping of optical bands in order to access them sensor-agnostically (i.e. with RED band, you can access the band number 4 of Sentinel-2, 8 of SENTINEL-3 OLCI, 1 of Pleiades, see here for more information) The presenters wanted also to eliminate tricky steps such as orthorectification or geocoding for SAR and Sentinel-3 data. By automating it, it allows more users to develop applications with remote-sensing data. Last but not least, the presenters want to provide an opensource library using cutting-edge technology, this is why we are using xarrays and support dask.https://video.osgeo.org/videos/embed/ff19f17b-6bc2-419f-b29a-421cda3b4b6bhttps://video.osgeo.org/w/h8GGHFXLgyHHgWVEWiJEByhttps://video.osgeo.org/lazy-static/thumbnails/203c57f9-40fc-4784-9a98-d6f9a5da89e7.jpg2023 | Scaling GeoServer in the cloud: clustering state of the art - Andrea AimeFOSS4G 2023 Prizren GeoServer deployments in the cloud and kubernetes are becoming the norm, while the amount of data published is also growing, both in terms of layers and size of data. As a result, the need for scaling up is becoming more and more common. This presentation covers GeoServer clustering approaches, comparing the available options and their suitability to different environments. We will cover: * Managing the GeoServer configuration, stable configuration with planned upgrades versus dynamic runtime changes. * Deployment options (monolithic, separate tiling, microservice oriented) * Dynamic configuration clustering with JMS, external database storage, and distributed memory. Attend this presentation to get an update on GeoServer cloud and clustering options, and pick the option that is the best match for your specific use case.https://video.osgeo.org/videos/embed/82a5822b-9e1d-47a4-8f68-efc17d1075c6https://video.osgeo.org/w/oyMyqWmBzsQiY2iKd4n429https://video.osgeo.org/lazy-static/thumbnails/fc8e201b-f8d2-44d4-936e-becf55dbdce3.jpg2023 | Comparison of GeoServer configuration deployment options - Alexandre GaconFOSS4G 2023 Prizren The goal of this presentation is to give an overview of the different options available for deploying a GeoServer configuration to different environments. In addition to the common data_dir folder deployment option, we will explore the possibilities offered by existing extensions and by the REST API, including different client libraries around it. We will also discuss the advantages that can be brought by Terraform for this use case.https://video.osgeo.org/videos/embed/b6bced8f-cea9-4382-a100-206ab7cdabe6https://video.osgeo.org/w/mfAajEqq7HJDXkvfhRjxFXhttps://video.osgeo.org/lazy-static/thumbnails/dc9d5f9e-75c6-4b5f-9cac-684b12356157.jpg2023 | The power of collective intelligence: HOT’s approach to open tech and innovationFOSS4G 2023 Prizren Presenters: Petya Kangalova & Synne Marion Olsen Are you interested in open geospatial tech for humanitarian purposes? Have you ever wondered who the people behind the geospatial technologies are? The collective brains? In this talk, we will tap into the power of the tech collective at Humanitarian OpenStreetMap Team, share our experience, excite you about joining the collective and get some hands-on input from YOU! Meet two members of the Humanitarian OpenStreetMap Team (HOT) - Petya & Synne. They are a global team that operates with four regional Open Mapping Hubs: https://www.hotosm.org/hubs/. In developing and improving open geospatial tech for humanitarian purposes, our vision is to creatively meet the needs of the communities through collective, community-centered efforts. Our mission? To amplify community-led innovation for impact through diversity, creativity & passion! Some of the stories they will share will be about our experiences and lessons learnt on collective projects and products (https://github.com/hotosm/) ranging from the HOT Tasking Manager collective , collaborating with Kathmandu Living Labs (KLL) in Nepal, to development of a Field Mapping Tasking Manager (FMTM). They will also share some of the boldest regional activities, including OpenStreetMap (OSM) Hackfest in Asia Pacific and the Ideas Lab in Eastern and Southern Africa. You will also find out how YOU can get involved by contributing to open geospatial tech. Expect a short participatory exercise [the collective brains/ power of collective intelligence] during this session!https://video.osgeo.org/videos/embed/a4003cff-5d39-4836-be0b-082ef253d649https://video.osgeo.org/w/1qyQd9NShJyautZy49oA8Mhttps://video.osgeo.org/lazy-static/thumbnails/2c12f542-cef6-4c1a-962a-f79bd696ab26.jpg2023 | How to join OSGeo (for projects) - Jody Garnett & Tom KralidisFOSS4G 2023 Prizren Welcome to the Open Source Geospatial Foundation, proud hosts of FOSS4G, and advocate for free and open source geospatial software everywhere. This is a call out to open source software developers; please join OSGeo and help us help you! Join OSGeo today: - Even just listing your project on the osgeo.org website is a great first step. Help us promote your technology so users can discover and enjoy your software. - The OSGeo “community program” gives project teams a chance to join the foundation with an emphasis on supporting innovation and new projects. The foundation provides some direct support, assistance along with endorsement and recognition from our board. - For established projects please join our “incubation program” to be recognized for excellence and as a full OSGeo committee. Unlike other foundations OSGeo does not require that you give up or transfer any Intellectual Property; we simply ask that you be spatial, open-source, and open to participation. This presentation gives clear instructions on how to join OSGeo, and representatives from recent successful projects will be on hand to answer your questions.https://video.osgeo.org/videos/embed/036e155b-56ed-4f88-921a-7c99be813edbhttps://video.osgeo.org/w/e9ZcDJzvhW1PjEfy6SuoCEhttps://video.osgeo.org/lazy-static/thumbnails/732a875a-3405-4fd0-a9f8-1c9450081c82.jpg2023 | Let's defense my country using FOSS4G! - Sanghee ShinFOSS4G 2023 Prizren This talk is about the current state of MilMap and its ongoing development. MilMap is a military geo-portal system widely and successfully used in every sectors of Korean military. The system is now undergoing major change from geo-portal to military digital twin system. MilMap is developed on top of numerous open source projects such as PostGIS, GeoServer, GeoWebCache, Cesium, OpenLayers, mago3D, OpenGXT. The system provides several functionalities like POI search, geospatial data search, layer control, satellite image search and download, spatial terrain analysis, coordinates reading, and map notes, to the military officers through the intranet. Although the system provides geospatial analytics functions through OGC WPS(Web Processing Service), the current system is basically a web based 3D GIS for data viewing and printing. Thanks to MilMap, military officers can now access the huge amount of geospatial data(maps, imagery, 3D, POI, and others) in their browser without installing additional software. MilMap is now undergoing major development to be a more customized, automated, and analytical system. The future MilMap will support user data uploading for intelligence sharing, more bespoke battle field analysis and others. In the long run, MilMap is expected to be a cloud based military digital twin system for geospatial intelligence sharing and battle field analysis & simulation.https://video.osgeo.org/videos/embed/6a880108-19c5-4ef9-8713-8e442a673006https://video.osgeo.org/w/3c6jWFLwWtuxUR17VXFsGChttps://video.osgeo.org/lazy-static/thumbnails/cb416fc2-852b-464c-95df-a2733b70e115.jpg2023 | Expanding Geospatial Data Access: Lessons from Radiant MLHub& the Shift to Source CooperativeFOSS4G 2023 Prizren Presenter: Michelle Roby Radiant Earth is building a new data sharing utility called Source Cooperative that aims to make it trivially easy for data providers to publish data on the Internet. Source Cooperative is the next generation of Radiant MLHub which Radiant Earth built to share Earth observation training datasets. In this talk, we will share lessons learned about sharing data from working with NASA, Planet, Sinergise, AWS, Microsoft, and others. We will also share how we’re applying those lessons to create Source Cooperative.https://video.osgeo.org/videos/embed/11bebdcd-fe40-46cf-a578-f4c19f6b6e04https://video.osgeo.org/w/73qQN3udFfSuqAYxdRwCF2https://video.osgeo.org/lazy-static/thumbnails/6d30d029-e76e-4047-b1ec-060fda0b9fa4.jpg2023 | State of PDAL - Michael SmithFOSS4G 2023 Prizren PDAL is Point Data Abstraction Library. It is a C/C++ open source library and applications for translating and processing point cloud data. It is not limited to LiDAR data, although the focus and impetus for many of the tools in the library have their origins in LiDAR. PDAL allows you to compose operations on point clouds into pipelines of stages. These pipelines can be written in a declarative JSON syntax or constructed using the available API. This talk will focus on the current state of the PDAL Pointcloud processing library and related projects such as COPC and Entwine, for pointcloud processing. Coverage of the most common filters, readers and writers along with some general introduction on the library, coverage of processing models, language bindings and command line based batch processing. First part will be covering new features for current users. Some discussion of installation method including Docker, binaries from package repositories, and Conda packaging.https://video.osgeo.org/videos/embed/30eda0e3-f6b8-41ed-a007-21fb2cc095e7https://video.osgeo.org/w/qkuP94k5cF2R1MpLfZ4Dpqhttps://video.osgeo.org/lazy-static/thumbnails/b66e1acf-19c5-4752-a25d-c4f7e64f89a8.jpg2023 | Opensidewalkmap - Kauê de Moraes VestenaFOSS4G 2023 Prizren The interest on urban pedestrian networks is growing, with impacts centered at UN SDGs numbered 3, 11, 10 and 13: the improvement of accessibility helps in reducing inequalities and the fostering of non-motorized locomotion improves well-being and sustainability in urban scenarios. The idea behind OpenSidewalkMap is to leverage the multi-purpose OpenStreetMap data for the pedestrian network data. The structure of the project is decentralized, with localities deployed as nodes on a world web-map. At each node there’s a modular structure within a webpage, containing apps that have a different role, in order to create what is intended to be a full-fledged inventory, whose functionality can be expanded as new modules can be added. Currently there are four modules: “Webmap” containing an interactive cartographic representation of the data; “Optimized Routing” that uses the data to create an optimized routing, currently only for a wheelchair profile based on an empiric equation; “Dashboard” featuring statistical charts to look at the bigger picture of the data, mainly focused on value percentages, thus giving attribute completeness, also giving a look at the data aging and number of revisions; “Data quality tool” looking at most common possible errors on data, giving direct link to editors, being at this point focused on finding invalid values, with geometrical and topological error detection planned to be included; there are 4 planned modules: “data watching” to monitor changes on data, to track and combat possible vandalism against data since OSM data is universally editable; “Tiles” giving raster and maybe vector tiles; “API” giving features on request; “Surveying And Validation” to list projects in different platforms/editors to expand and validate available data. This way the inventory will include continuously the full cycle of data: creation and collection; storage, maintenance and management; application and analysis. The project is aimed t...https://video.osgeo.org/videos/embed/c5143748-9bc9-4c18-8e32-0e04e4c0decahttps://video.osgeo.org/w/iQmh8gZTrZg19CbN7jsdk9https://video.osgeo.org/lazy-static/thumbnails/cf181078-9009-471c-a910-182d928b7aaa.jpg2023 | Lidar data processing, management and visualisation in a browser using PointviewFOSS4G 2023 Prizren Presenters: Bogdan Negrea & Lasse Hedegaard Pointview is a product developed by IT34 for working with Lidar and Photogrammetry data. It gives the user the possibility to upload, process, visualize and work with data. Lidar data formats such as LAS, LAZ, E57 can be uploaded, processed and visualized in the browser. Photogrammetry: Images from drones or video from phones can be uploaded, processed into a 3d point cloud and visualized in a browser. In addition, data can be captured using our SmartSurvey app that captures video which is used for building a 3d pointcloud, together with an ortophoto and dem. The data is later available for visualization in Pointview or in QGIS though a WFS service. Moreover, the system offers a complete management system where the user can create projects for organizing the data, can share the data with other users and manage the access. The system uses various data processing workflows for data processing based on open source components such as: - PostgresSql + Postgis for storing the data and for geometry based analysis. - OpenLayers for visualizing the images and ground control points results as rasters - Geoserver for publishing data as WMS/WFS, - QGis for visualizing data, - PDAL for lidar data processing, - GDAL for raster data processing, - CloudCompare for lidar data processing, - Potree for Data Visualizationhttps://video.osgeo.org/videos/embed/906b8e11-a424-4b9a-8316-2351b7f63b76https://video.osgeo.org/w/7Z7cg4zUhiyQPwsR9NH5kRhttps://video.osgeo.org/lazy-static/thumbnails/3acebf72-4362-4e19-a0fe-1c29ed8874f4.jpg2023 | G3W-SUITE and QGIS integration: state of the art, latest developments and future prospectsFOSS4G 2023 Prizren Presenter: Walter Lorenzetti G3W-SUITE is a modular, client-server application (based on QGIS-Server) for managing and publishing interactive QGIS cartographic projects of various kinds in a totally independent, simple and fast way. Accessing administration, consultation of projects, editing functions and use of different modules are based on a hierarchic system of user profiling, open to editing and modulation. The suite is made up of two main components: G3W-ADMIN (based on Django and Python) as the web administration interface and G3W-CLIENT (based on OpenLayer and Vue) as the cartographic client that communicate through a series of API REST. The application, released on GitHub with Mozilla Public Licence 2.0, is compatible with QGIS LTR versions and it is based on strong integration with the QGIS API. This presentation will provide a brief history of the application and insights into key project developments over the past year, including: * new editing functions and greater integration with QGIS tools and widgets in order to simplify the preparation of web cartographic management systems * QGIS embedded project management * WMS-T and MESH data management and integration of TimeSeries functions * on/off management for the individual symbology categories as in QGIS * integration of the QGIS Processing API to allow the integration of QGIS analysis modules and perform online geographic analysis * structured management for log consultation on three levels: G3W-SUITE, QGIS-SERVER and DJANGO The talk, accompanied by examples of application of the features, is dedicated to both developers and users of various levels who want to manage their cartographic infrastructure based on QGIShttps://video.osgeo.org/videos/embed/38900b4b-6e17-4804-8612-b4df24554697https://video.osgeo.org/w/jqdiUgw63Qb1PErtkMo16ihttps://video.osgeo.org/lazy-static/thumbnails/2b8a15bd-1b06-4823-8be6-ffc169385cab.jpg2023 | Introducing Terra Draw: A JavaScript Library To Draw On Any Web Map - James MilnerFOSS4G 2023 Prizren If you have ever had the experience of having to write code to draw on web maps, you'll know how painful the process can be - especially when situations get more complex. Terra Draw is an open source JavaScript library that provides a new way to add drawing functionality to a host of web mapping libraries, including Leaflet, OpenLayers, Google Maps, MapboxGL JS and MapLibreGL JS. The library provides a selection of built in modes that 'just work' across different mapping libraries. These features include elementary drawing tools like point, line and polygon, as well as supporting more advanced concepts like snapping, rotation and scaling. Terra Draw is also designed to be extendable so that you can write your own custom modes and adapters (thin wrappers for each mapping library). The architecture of the library means that any mode work can work with any adapter and vice versa creating a strong multiplier affect as new modes and adapters are written. This decoupling has the added benefit that drawing libraries can be swapped out without breaking your app! The talk will examine the history of the library, how to get started, and also an opportunity to hear more about the future of Terra Draw.https://video.osgeo.org/videos/embed/9525ee8c-5baf-4e3e-8ea0-0a767e78f293https://video.osgeo.org/w/j5HC6bT2XsW6DeZLuMrmWThttps://video.osgeo.org/lazy-static/thumbnails/17f4ab6f-079b-472d-b871-f374d4ca107a.jpg2023 | Gisquick: Let’s share (Q)GIS much quicker - Jáchym ČepickýFOSS4G 2023 Prizren Gisquick (https://gisquick.org/) is an open-source platform for publishing GIS projects on the web. A GIS project is defined by a QGIS project file including data sources (files, databases, even virtual layers) and symbology defined in the QGIS desktop application using the styling tool. With the help of the Gisquick plugin for QGIS, it is possible to upload the data to the Gisquick server and host the map. Gisquick is a fully featured hosting platform, where the project administrator can fine-tune web publishing attributes, set predefined scales, bounds, or visibility. Also group permissions on the project level as well as layer level (query, edit, export) may be defined. Vector data - geometry and attributes - can be edited directly on the web. Interface between the frontend and backend is based on open standards (OGC WMS and WFS). The mapping application has standard components from the GIS point of view: decent layer switcher, attribute table, zoomable map, printing tool (based on QGIS templates), and customizable feature-detail form. All this can be tested on the demo platform https://demo.gisquick.org/ - but you can also make your own deployment via Docker images. Gisquick is open-source software published under the GNU GPL. In the presentation, various features of Gisquick and show practical examples and discuss technologies used for its development will be presented.https://video.osgeo.org/videos/embed/926d1f1f-4f51-4ee4-bcb0-08d75a2786f7https://video.osgeo.org/w/3tWjpejdiXboFvw4U9R6Cxhttps://video.osgeo.org/lazy-static/thumbnails/3e2a6184-d483-4eb6-8e00-d762bb4015b9.jpg2023 | vis.gl, the powerful framework suite behind deck.gl and kepler.gl - Alberto Asuero ArroyoFOSS4G 2023 Prizren vis.gl is a suite of composable, interoperable open source geospatial visualization frameworks (GPU powered) centered around deck.gl. During the last 4 years vis.gl has played an essential role in the development of geospatial applications during the last 4 years. With close to 100K daily downloads from npm, it’s widely used today in many areas and industries: from academics teams, to enterprise companies like Uber, Foursquare, CARTO, Google or Amazon. The open governance of vis.gl has guaranteed the evolution and maintenance of the framework, the project joined the OpenJS foundation in 2022 with the main goal of re-enforcing the open evolution of the project. This talk will do a quick and high level introduction of the most important frameworks that belong to this suite (deck.gl, kepler.gl, loaders.gl, etc.), and an update of the most important features and milestones achieved in the last year, and we’ll share the strategy and direction for the next year.https://video.osgeo.org/videos/embed/1418d553-75bd-4111-9df1-03c490f67163https://video.osgeo.org/w/6mcMcFryvkVwLU8RCj42FKhttps://video.osgeo.org/lazy-static/thumbnails/1b707a77-7a7f-446f-aa19-ef9e0de453c2.jpg2023 | State of pgRouting - Vicky VergaraFOSS4G 2023 Prizren pgRouting is evolving rapidly, many changes have been taking place. Lets catch on. The focus of this talk will be on the topology functions that were created on 2013, Its been 10 years, and its their time to go: * Why "I" don't want to use them any more * New specialized functionality has been created that substitute the work that the topology functions are doing in a very rustic way. * A quick guide on how not to use the "soon to be deprecated topology functions"https://video.osgeo.org/videos/embed/2b4fd3f6-01eb-4ec8-b900-3b055331b1fdhttps://video.osgeo.org/w/5Jpykw1hgxWMCsWAVg8P2Rhttps://video.osgeo.org/lazy-static/thumbnails/f2b8f43e-f3d0-472f-9c55-71e40f540a9f.jpg2023 | State of GeoServer - Jody Garnett & Andrea AimeFOSS4G 2023 Prizren GeoServer is a web service for publishing your geospatial data using industry standards for vector, raster and mapping. Choose additional extensions to process data (either in batch or on the fly) and catalog records. GeoServer is widely used by organizations throughout the world to manage, disseminate and analyze data at scale. GeoServer web services power a number of open source projects like GeoNode and geOrchestra. This presentation provides an update on our community as well as reviews of the new and noteworthy features for the latest releases. In particular, we will showcase new features landed in 2.22 and 2.23, as well as a preview of what we have in store for 2.24 (to be released in September 2023). Attend this talk for a cheerful update on what is happening with this popular OSGeo project, whether you are an expert user, a developer, or simply curious what GeoServer can do for you.https://video.osgeo.org/videos/embed/26504f91-f990-440d-b22b-ec7d5b87a0afhttps://video.osgeo.org/w/14bh7rNNmuMTQ46zzzs7WBhttps://video.osgeo.org/lazy-static/thumbnails/cbb97053-249e-42ac-be0d-6037d4021e8a.jpg2023 | State of GeoNetwork - Gravin Florent & Jeroen TichelerFOSS4G 2023 Prizren The GeoNetwork-opensource project is a catalog application facilitating the discovery of resources within any local, regional, national or global "Spatial Data Infrastructure" (SDI). GeoNetwork is an established technology - recognized as an OSGeo Project and a member of the foss4g community for over a decade. The GeoNetwork team would love to share what we have been up to in 2023! The GeoNetwork team is excited to talk about the different projects that have contributed with the new features added to the software during the last twelve months. Our rich ecosystem of schema plugins continues to improve; with national teams pouring fixes, improvements and new features into the core application. They will also talk about the UI revamp through the geonetwork-ui framework, and the new perspectives it could bring to your catalogs. Progress of our main branches (4.2.x), and release schedule.https://video.osgeo.org/videos/embed/007190b1-f9cc-4bd6-96ab-47a0c50c75b7https://video.osgeo.org/w/n9WnDaj4apLowGstRtNtQXhttps://video.osgeo.org/lazy-static/thumbnails/f2097caf-d127-4024-b6a9-73c08e06efdd.jpg2023 | State of GeoNode - Giovanni AllegriFOSS4G 2023 Prizren This presentation will introduce the attendees to those which are GeoNode's current capabilities and to some practical use cases of particular interest in order to also highlight the possibility of customization and integration. We will provide a summary of new features added to GeoNode in the last release together with a glimpse of what we have planned for next year and beyond, straight from the core developers.https://video.osgeo.org/videos/embed/ab4f5ee2-7203-46d1-8bff-93bcc2df7b23https://video.osgeo.org/w/mJE7pDirdktknzAPN5KjB6https://video.osgeo.org/lazy-static/thumbnails/4f26d7b7-3eaa-46c6-b068-075c8601aa6b.jpg2023 | Upgrade your Postgres and PostGIS will thank you - Felix KundeFOSS4G 2023 Prizren Every year, there's a new Postgres major release that improves on performance in certain areas and could provide new hooks for extensions like PostGIS to take advantage from them. If not planned well, upgrading your production databases can become a pain. Sooner than you think you'll be running on EOL (End-of-Life) versions because the upgrade has been postponed too many times. Don't! Did you know Postgres upgrades can be greatly automatized these days with downtimes of only a few seconds? This talk will show you how and will also present some essential features from recent Postgres and PostGIS versions to get you excited for the new upgrade.https://video.osgeo.org/videos/embed/a7eb7f7a-01f2-46f5-8355-8a2ba7d591f3https://video.osgeo.org/w/9f1bXvYBMTX7a7sm8kFQPFhttps://video.osgeo.org/lazy-static/thumbnails/b2d5645b-5a2e-43a3-bf89-d7e1f4b0b2a9.jpgFOSS4G 2023 Prizren opening sessionJoin us in the opening session of FOSS4G 2023, where we embark on a journey into the world of open-source geospatial technology and innovation.https://video.osgeo.org/videos/embed/42bda373-b29c-4970-be6e-9a31abe8cb35https://video.osgeo.org/w/bH42VkSHjSBmSsEg2ADFZChttps://video.osgeo.org/lazy-static/thumbnails/30aaf63a-6c81-4da7-93cb-008376b9956d.jpg2023 | Demystifying Re:Earth: A Technical Examination of Nocode WebGIS Platform - Shinnosuke KomiyaFOSS4G 2023 Prizren This talk offers an in-depth exploration of the technological foundations of Re:Earth, Eukarya Inc.'s open-source WebGIS platform. This 30-minute session will provide a comprehensive analysis of the underlying mechanisms that empower Re:Earth's no-code, user-friendly interface. We'll dissect the core architecture, illustrate its data handling and visualization processes, and elucidate the robust framework that facilitates plug-in development. Aimed at both technology professionals and enthusiasts, this talk offers a rigorous, detailed insight into the groundbreaking engineering that positions Re:Earth at the forefront of geospatial data interaction.https://video.osgeo.org/videos/embed/56b6c019-1bbb-4199-ba74-4d2a218009d2https://video.osgeo.org/w/rPh8TosSCpEErGVb6B6mehhttps://video.osgeo.org/lazy-static/thumbnails/7d8d0d7e-2b19-46d1-902a-f3a792aed117.jpg2023 | State of GRASS GIS - Martin LandaFOSS4G 2023 Prizren This talk gives an overview of the current state of the GRASS GIS project for both users and developers. Latest version of GRASS includes even more tools parallelized using OpenMP to speed up massive data processing. The graphical user interface is changing as the single-window layout matured and is becoming the number one choice and a default setting. This adds to a quicker startup without a need for a welcome screen and streamlined data management. The code quality of C and C++ code improved significantly in the last year, the code compiles with strict compiler settings and we are heading towards pedantic compliance. Last but not least, this summer GRASS GIS celebrates its 40th birthday!https://video.osgeo.org/videos/embed/d10e5e2a-374c-4802-963e-131108ba36eahttps://video.osgeo.org/w/ozWASJEyhsG6wYx6ShBm4Qhttps://video.osgeo.org/lazy-static/thumbnails/e4aa938b-3746-4b03-8abc-9c049d6d2df8.jpg2023 | State of GDAL (versions 3.6 and 3.7) - Even RouaultFOSS4G 2023 Prizren This talk will give a status report on the GDAL software, focusing on recent developments and achievements in the 3.6 and 3.7 GDAL versions released during the last year, but also on the general health of the project. The discussed topics will be as various as the scope of GDAL is, covering the new single CMake build system, the full open source write vector support for the Esri FileGeodatabase format, a Arrow-based columnar oriented read API for vector layers implement in the Arrow, (Geo)Parquet, GeoPackage and FlatGeoBuf drivers, new vector layer API for table relationsihp management, new raster drivers for the JPEG-XL, KTX2, BASISU, NSIDCbin formats, multi-threaded read capabilities in the GeoTIFF driver, multiple performance improvements in the GeoPackage driver, advanced API to read raster compressed data, a new vector driver for the General Transit Feed Specification (GTFS), support for the new Seek Optimized ZIP (SOZip) specification, etc.https://video.osgeo.org/videos/embed/b6e63e81-e5ac-4f39-be55-5af07c988226https://video.osgeo.org/w/n5Ke5LpmxbrFhHuF1LgWPkhttps://video.osgeo.org/lazy-static/thumbnails/cdb84b6f-4316-4140-94de-b4c07fb5087a.jpg2023 | Transit Access to Essential Services in the face of Climate ChangeFOSS4G 2023 Prizren Presenters: Kaushik Mohan and Erin Stein Data Clinic's project addresses the community impacts of climate change on public transit. They've created TREC (Transit Resiliency for Essential Commuting), an open-source tool that communicates the intersectional risks faced by transit infrastructure and community access at a local level. By considering flooding scenarios, they assess station-level vulnerabilities, provide access to essential services, and prioritize improvements. TREC aims to democratize data and promote human-centered decision-making in climate resilience planning.https://video.osgeo.org/videos/embed/aab9868f-f79a-4d4a-96c5-50c460f77e29https://video.osgeo.org/w/kNe2Q5r7AbMpDBbDiHDcTLhttps://video.osgeo.org/lazy-static/thumbnails/bc2f3664-62fc-47e6-b53b-53f008d6b6fb.jpg2023 | Development of tool for validity of decision support algorithm for EIAFOSS4G 2023 Prizren The open source based environmental impact assessment(EIA) decision support verification tool(verification tool) is a web-based tool for verifying the EIA algorithm based on the EIA review decision support algorithm using data for each Environmental Impact. This verification tool was developed using open source projects such as PostGIS, GeoServer, and Openlayers. However, the flowchart library used a commercial software called GoJS. This verification tool is intended to verify the adequacy of the implementation of the EIA algorithm developed by experts in each Environmental Impact. It is possible to support comprehensive decision-making, including opinion gathering, by operating the review decision-making algorithm based on data by Environmental Impact and environmental impact analysis results. The spatial analysis required to verify the algorithm was developed using OpenGXT of the OGC WPS service. It includes a way to visualize the result processed through this spatial analysis function. This paper is based on the findings of the research project “Development of integrated decision support model for environmental impact assessment project,”(2023-003(R)) which was conducted by the Korea Environment Institute (KEI) and funded by research and development project (Project No. 2020002990003) of the Environmental Industry & Technology Institute (KEITI) and the Ministry of Environment (MOE).https://video.osgeo.org/videos/embed/a051e101-601a-49fb-9dfe-83459c0c847ehttps://video.osgeo.org/w/e7y3Usnn2iqA1NwbT1UKrFhttps://video.osgeo.org/lazy-static/thumbnails/adfbd832-d7b3-4313-bc2f-d7caa062a592.jpg2023 | Editable topologies in pgRouting - Christian BeiwinkelFOSS4G 2023 Prizren pgRouting, a PostGIS extension containing algorithms and tools for working with graph data, has become a highly flexible member of the FOSS routing engine family. In this talk, it will demonstrated just how flexible it can be by showing how routable networks (called 'topologies' in pgRouting) can be made editable. The presenter will take the audience from theoretical conception of editable topologies (how can edits, insertions and deletions be handled in PostGIS?) through its implementation. In the end, a demonstration of a fully editable topology in a web mapping application based on a real world example using OpenStreetMap data will be show cased.https://video.osgeo.org/videos/embed/6a31044a-6f63-44de-822a-fa7fbaa2195dhttps://video.osgeo.org/w/u6hP53zfteF6Z9ERvtoqCfhttps://video.osgeo.org/lazy-static/thumbnails/f01fd8d6-0d5e-48ab-9509-99e5990bbdd6.jpg2023 | River Runner: navigating and indexing hydrologic data with open standards and dataFOSS4G 2023 Prizren Presenters: Benjamin Webb The Hydro Network-Linked Data Index (NLDI) is a system that can index data to a hydrographic network and offers a RESTful web service to discover indexed information upstream and downstream of arbitrary points along the stream network. This allows users to search for and retrieve geospatial representations of stream flowlines, catchments, and relevant water monitoring locations contributed by the water data community - without downloading the national dataset or establishing links themselves. This is done by data providers publishing open information about the locations of their data within the context of the U.S. stream network. Data linked to the NLDI includes various federal, state and local water infrastructure features and water quantity and quality monitoring locations. The NLDI is being developed as an open source project and welcomes contributions to both its code and indexed data, with the main implementation currently being maintained by the U.S. Geological Survey. The community of practice surrounding the NLDI extends to R and python developers working on clients that allow scientists to quickly retrieve data relevant for specific hydrologic analyses. As the NLDI community grows, a similar concept could be applied at a global scale, facilitating the development of downstream tools and applications. While the NLDI is limited to the US, global work would be possible by leveraging global stream network datasets such as MERIT-Hydro. A proof-of-concept global River Runner allowing discovery of the flowpath downstream of arbitrary points anywhere on Earth has already been implemented using MERIT-Hydro and OGC-API Processes in pygeoapi. This session includes demonstrations of the NLDI and the global River Runner.https://video.osgeo.org/videos/embed/e37cf639-6c2a-4cee-a834-b6245029e616https://video.osgeo.org/w/mhGckouxW43T9XVM5ChobShttps://video.osgeo.org/lazy-static/thumbnails/9e3dbce7-0da0-4890-a82e-6bb0d75f5450.jpg2023 | Many Data Sources, One Web Map: Data cleaning and optimization with FOSS - Will FieldFOSS4G 2023 Prizren The Long Island Zoning Atlas is an interactive web map that displays zoning data, public services, and demographic data for municipalities all across Long Island excluding New York City. The app focuses on statistics that help affordable housing advocates plan housing projects. This year we rebuilt the Long Island Zoning Atlas using our new FOSS stack. The project presented a problem very common to GIS projects: transforming data from many different sources, in this cases towns. They were given the data in many different formats and needed to transform it all into clean, usable data which is organized to our needs and renders quickly and efficiently on the web.https://video.osgeo.org/videos/embed/a44b71e0-2762-4802-ba72-c3ba00130b8ehttps://video.osgeo.org/w/c4XBfg9AdMfEeUb2epR56qhttps://video.osgeo.org/lazy-static/thumbnails/85a71fc0-8a93-46b1-a5d3-d8ec445d273e.jpg2023 | Self-hosted CMS maps for everyone - Pirmin KalbererFOSS4G 2023 Prizren Privacy aware Content Managment System (CMS) operators don't let their viewers accept cookies from an external map provider. But creating a map used to require specialized GIS knowledge and hosting a map server is not everyone's cup of tea. This talk explains how non-experts can serve a map based on OpenStreetMap vector tiles from a CMS. A MapLibre GL JS based Wordpress plugin displaying a self-hosted PMTiles dataset is shown as an example.https://video.osgeo.org/videos/embed/59a206a9-92fe-4d2e-9170-a82cb73a6a42https://video.osgeo.org/w/xvBp1KysdMmaZGvaYAa67Phttps://video.osgeo.org/lazy-static/thumbnails/8b434a2c-70d5-4bd2-82a1-b4151cf80da2.jpg2023 | Look, how we build geospatial CMS without using GeoServer and EAV! - Edgars KošovojsFOSS4G 2023 Prizren Using generic or standard content management system (CMS) like Wordpress or Strapi for managing geospatial data isn't an optimal solution. Since object geometry isn't just one of many data fields, it requires special handling for setting the data (e.g., on the map), storing data, transforming data for various needs (geometry output format, CRS etc.) and using them for spatial analysis. When talking about a geospatial CMS, one would think that using GeoServer should be a must. How else would you vizualize a non-trivial amount of data on the map, right? Although Geoserver might be a good answer, that's not the only one. The presenter and their company have developed their custom geospatial CMS using the OpenLayers mapping library on the frontend and PostgreSQL (with PostGIS, of course) on the backend, using PHP Laravel and GeoJSON as middle man between the data store and the frontend. CMS platforms frequently have one specific feature. Different objects may have various attributes. Using the EAV (entity-attribute-value) model is one of the methods that is frequently utilized, although this choice usually comes with a number of issues, such as querying and storing the data. The possibility to swap out the EAV model for a straightforward json field in their CMS was used. This talk will present what choices were made to build solution in such way and what some of the challenges were.https://video.osgeo.org/videos/embed/ff2dae8c-3c04-4f61-bc64-fac8815f7487https://video.osgeo.org/w/at63FctijgUjuBAUZ7fkxMhttps://video.osgeo.org/lazy-static/thumbnails/d6bd19a9-fb53-4607-8079-0f7b91696d67.jpg2023 | MOOC EOODS - Massive Open Online Course for earth observation and open data scienceFOSS4G 2023 Prizren Presenter: Peter James Zellner The Massive Open Online Course - Earth Observation Open Data Science (MOOC EOODS) teaches the concepts of data cubes, cloud platforms, and open science in the context of Earth Observation (EO). It aims at Earth Science students, researchers, and Data Scientists who want to increase their technical capabilities onto the newest standards in EO cloud computing. The course is designed as a MOOC that explains the concepts of cloud native EO and open science by applying them to a typical EO workflow from data discovery, data processing up to sharing the results in an open and FAIR way. The EO College platform hosts the course and hands-on exercises are carried out directly on European EO cloud platforms, such as Euro Data Cube or openEO Platform, using open science tools like the Open Science Data Catalogue and STAC to embed the relevance of the learned concepts into real-world applications. The MOOC is an open learning experience relying on a mixture of animated lecture content and hands-on exercises created together with community renowned experts. After finishing the course, the participants will understand the concepts of cloud native EO, be capable of independently using cloud platforms to approach EO related research questions and be confident in how to share research by adhering to the concepts of open science. The MOOC is valuable for the EO community and open science as there is currently no learning resource available where the concepts of cloud native computing and open science in EO are taught jointly to bridge the gap towards the recent cloud native advancements in EO. The course is open to everybody, thus serving as teaching material for a wide range of purposes including universities and industry, maximizing the outreach to potential participants. This talk will give an overview of the MOOC at the current status.https://video.osgeo.org/videos/embed/4caa7084-7309-475a-9355-59befd010b0fhttps://video.osgeo.org/w/iAh2NTveFJ7ByQQaNm79Schttps://video.osgeo.org/lazy-static/thumbnails/67b56367-884d-4abf-be71-5e597f3936c5.jpg2023 | Introduction to Coordinate Systems - Javier Jimenez ShawFOSS4G 2023 Prizren Introduction to basic but important concepts about Coordinate Reference Systems (what is doable in 20 min ) - Geographic Coordinate (Reference) Systems - Different Datums/Ellipsoids - Projections (Mercator, UTM, LCC, ...) - EPSG catalog - WKT (well known text) description - Reference to PROJ.org library The purpose is to explain basic concepts to have a good basis to understand later more complex problems. The presentation will have a lot of links to go deeper into any area of interest.https://video.osgeo.org/videos/embed/8e748664-1f22-4416-8fe5-07a2a9a355afhttps://video.osgeo.org/w/h6qiUsj5pobJDYHLcVfFqWhttps://video.osgeo.org/lazy-static/thumbnails/652f808c-6da2-4407-ac12-c2222cbe935e.jpg2023 | DGGSs and you! - James BantingFOSS4G 2023 Prizren Discrete Global Grid Systems (DGGS) are gaining popularity as a new method of geospatial data representation. This presentation will provide an overview of the concept of DGGS and its advantages over traditional geospatial data representation methods. It will explore the similarities and differences between these different DGGS frameworks, including their cell shapes, grid resolutions, and ability to handle different types of geospatial data. The benefits of using DGGS in geospatial data applications, such as remote sensing, climate modeling, and environmental monitoring will be discussed. Overall, this presentation will provide a comprehensive overview of the concept of DGGS and its potential applications in geospatial data analysis and visualization. Attendees will gain a deeper understanding of the advantages and challenges associated with different DGGS frameworks and will gain insights into the ongoing research efforts in this field.https://video.osgeo.org/videos/embed/8253eb0d-963c-4766-add5-ef200c6aca02https://video.osgeo.org/w/q8mNSSBUKHJgD4Y3ikk6cBhttps://video.osgeo.org/lazy-static/thumbnails/ce77b179-235d-499f-a3a3-30c4c8968492.jpg2023 | Training the future with FOSS4G - Elisa HanhirovaFOSS4G 2023 Prizren The use of free open source software is catching on and (at least) in Finland governmental institutions are making the big switch to open source software from other solutions. This opens up the need and possibility for training. Training needs may differ from no previous training or knowledge to advanced GIS professionals so customising the training and exercises are important. Some might need to start with basic GIS and spatial information in general and continue to hands-on learning and multiple different exercises to help them learn the use of different tools and workflows in QGIS. For more advanced users, training and helping with different programs for example GeoServer and QField or deepening the knowledge of different workflows such as visualisation or Python in QGIS are more in order. FOSS4G has also been catching on and spreading in schools and universities. These new professionals that have used FOSS4G from the very beginning of their studies can be more efficient and skillful using these different programs. They may also demand more from the software and think of new ways to modify and perfect their workflows and produce new innovations. They can be a new and very important resource for developing different areas of FOSS4G. Training new and more experienced professionals in FOSS4G is a very important step for implementing new tools and workflows into different industries and businesses. Training also works both ways, through discussion and hands-on exercises some new and interesting needs may emerge and those could be possible to develop further into new tools or plugins. The more institutions, businesses and other users are interested in switching to FOSS4G, the more new opportunities and needs for different tools and working methods arise. This in turn helps to develop the software further.https://video.osgeo.org/videos/embed/c3625b95-d05b-4b1a-844e-3635fa78769dhttps://video.osgeo.org/w/g1LSw7upzUCnC71ewZYL9ghttps://video.osgeo.org/lazy-static/thumbnails/a77ae39c-a8d8-4eef-b274-7613cff7a2dd.jpg2023 | Graph-based geo-intelligence - Francesca DrăguțFOSS4G 2023 Prizren This talk describes how the presenter developed a free graph-based geo-intelligence engine that serves fast, scalable, and reliable data analysis. The engine's value lies in its flexibility and applicability to any relational dataset, as well as its integration of open-source technologies and libraries. They chose to build their geo-intelligence engine on a graph infrastructure to enable faster, index-free queries and better support for interconnected data. To showcase the capabilities of our engine, a geo-financial software that provides users with a powerful tool for analyzing financial scores of companies based on geo-location was developed. Businesses can quickly and easily analyze data to gain valuable insights into competitors, potential partnerships, and market trends. This software presents the results of the analysis in a user-friendly and visually appealing format, making it accessible even to non-technical users. Their geo-financial analysis software is based on user-specified location and range. The user interacts with an Angular frontend, which incorporates the Leaflet library for map interaction and an OpenStreetMap basemap. The backend is based on Golang, which handles authentication and message queueing interaction with a Python analysis tool. The data retrieved for Python processing comes from a Neo4j graph database, which is accessed through Cypher queries and networking algorithms. All of the software components are located in separate containers, promoting flexible and independent scalability achieved with Docker Compose and orchestrated by Kubernetes. In this presentation, their graph-based geo-intelligence engine will be discussed, which is the backbone of our application. The geo-financial analysis application itself, providing a demo and demonstrating how it can be used for business geo-intelligence analysis will be show cased.https://video.osgeo.org/videos/embed/7994bb8e-dae8-4360-8bdc-2a4a9633615fhttps://video.osgeo.org/w/9Vspq4jLURs6cXffVPSsbnhttps://video.osgeo.org/lazy-static/thumbnails/eaa9e097-907e-49e2-9ed7-2fb94658399c.jpg2023 | Supercharging deck.gl layers with extensions - Felix PalmerFOSS4G 2023 Prizren deck.gl is a popular open source data visualization library that uses the power of WebGL to render huge amounts of data performantly in the browser. A collection of versatile layers allows the user to create many different types of visualizations, with excellent support for geospatial data in particular. The core layers can be extended by the means of deck.gl extensions to create interactive experiences which are not possible in other data visualization frameworks. This talk will give an overview of deck.gl, including some of the core layers and will then focus on three of the latest extensions: - The CollisionFilterExtension avoids collisions between features on screen. This can be used to selectively show large cities in preference to small ones on a map when they would otherwise overlap or laying out labels. - The MaskExtension implements realtime masking of data by an arbitrary spatial boundary. An example use case is clipping a set of roads and places of interest to the boundary of a city. -The TerrainExtension offsets the 3D component of features by referencing a separate 3D layer. For example, a set of pins on a map can be placed at the correct height relative to a 3D terrain layer.https://video.osgeo.org/videos/embed/483fcd0b-10e3-4593-bc20-0cd5a7732761https://video.osgeo.org/w/dB3YcE54KuCWDvKsYhqaSvhttps://video.osgeo.org/lazy-static/thumbnails/e1d262f3-8e69-44b7-a879-45785c9a62ee.jpg2023 | Road condition assessment and inspection using deep learning - Bogdan NegreaFOSS4G 2023 Prizren Road Surface Inspector is a system developed by IT34 with the purpose of speeding up the process of road damage registration by using deep learning. The time consuming process of inspection and registration of road damage is reduced significantly by using our Road Scanner Inspector app that can be placed in the windshield of any vehicle. The app records a video and gps coordinates, which are later processed in order to find different types of damage - potholes, cracks, damaged markings using deep learning. The system can also detect other types of assets such as traffic signs, traffic lights, manholes and others that can be used in fx digitalization tasks. The results of the image analysis are presented on a webgis portal as heatmaps presenting the condition of the road in the areas that were inspected using the app. The heatmaps are further used by the decision makers in order to prioritize the road maintenance work. While using the app, Gps logs are built in realtime based on the positions sent by the phone while driving. These are further used for street inspection documentation.https://video.osgeo.org/videos/embed/6612868b-c4d1-4714-a3cf-422f137b7e75https://video.osgeo.org/w/j2UispVsULifg4URNQrwhHhttps://video.osgeo.org/lazy-static/thumbnails/8cd9eece-3d03-4229-b7de-807c1649b3ec.jpg2023 | Modernising Tasking Manager infrastructure using Terraform, cloud-native tools & good senseFOSS4G 2023 Prizren Presenter: Yogesh Girikumar Learn how Humanitarian Openstreetmap Team uses modern tools like Terraform, AWS serverless, and other tools to modernise the collaborative mapping tool - Tasking Manager. The talk will focus on balancing infrastructure costs, cloud vendor lock-in, performance and DevOps processes. Tasking Manager is an important collaborative mapping tool that is considered a public good. In recent times, the tool has left a lot to be desired in terms of performance and availability. The HOT Tech team set out to overhaul the architecture, and deployment processes of Tasking Manager. This talk will discuss the soon-to-go-live improvements that touch upon Terraform, AWS Serverless, CircleCI, Observability processes, and Developer Experience.https://video.osgeo.org/videos/embed/920878a4-65b1-426e-a3ce-bf64dca8eee9https://video.osgeo.org/w/mFxG2Bde75TkCT7B29mTAzhttps://video.osgeo.org/lazy-static/thumbnails/a6c2956c-27e6-4635-bf92-6568e3dddab4.jpg2023 | Project PLATEAU ～The initiative of Digital Twin in Japan～ Uchiyama YuyaFOSS4G 2023 Prizren Project PLATEAU is an initiative led by the Ministry of Land, Infrastructure, Transport and Tourism of Japan (MLIT), to develop and utilize 3D city models compliant with CityGML standards. MLIT aims to establish rules of creation of 3D city models as part of general operations in each local government, and also to release them as open data to promote utilization for urban planning and business creation.https://video.osgeo.org/videos/embed/a77c4f5a-1179-4035-b9be-1fb54bf5a801https://video.osgeo.org/w/w9bhoHL5pmL63tWbkiq2Xxhttps://video.osgeo.org/lazy-static/thumbnails/bf0f700e-89c8-4fcb-86cd-46579df51a78.jpg2023 | Developing a real-time quality checker for the operators on QGIS - Olli RantanenFOSS4G 2023 Prizren The National Land Survey (NLS) of Finland embarked on developing a national topographic data production system using open-source technologies, primarily QGIS client. Their goal is to launch the Minimum Viable Product (MVP) of the application for NLS operators by early 2025. A significant recent advancement is the creation of a user-friendly data quality management system, designed to offer easy adaptability for quality rule changes and comprehensive insights. The NLS developed a tool named "Quality Management Tool" to achieve this. While some QGIS tools like geometry checks were utilized, the NLS found that the existing QGIS tools were not easily customizable or extensive enough for their specific quality demands. This prompted them to manually select and configure quality tools, a process consuming valuable operator time. The core principle guiding their quality management approach is to provide real-time feedback to operators, enabling them to address errors within their standard workflow, thus eliminating the need for separate quality control phases. Furthermore, the NLS ensures that users can save their work to their local database without workflow interruption, even if errors exist. Although the graphical user interface for visualizing quality check results has been released on GitHub, this presentation aims to showcase the tool's broader functionality. It will include use case videos to demonstrate its capabilities on a larger scale, discussing its architecture and future development plans.https://video.osgeo.org/videos/embed/f4167264-8eeb-4e32-ad9f-f8bb6df91ee9https://video.osgeo.org/w/2G3CBDZaHCRiTU8GMaPzKchttps://video.osgeo.org/lazy-static/thumbnails/78f8960a-aa35-4538-9b27-ad86c2f8d903.jpg2023 | Locality-Sensitive Hashing with the Hilbert Curve for fast reverse geocoding - Ervin RuciFOSS4G 2023 Prizren 3geonames.org is a free api for fast reverse geocoding, using a new technique of locality-preserving hashing of 2d/3d spatial points to 1d integers via a combination of Hilbert curve and bit interlacing. This talk expands on the use-case and the performance/accuracy advantages of this technique.https://video.osgeo.org/videos/embed/0db082d4-1f01-4b3b-873e-5095a17efcf5https://video.osgeo.org/w/tYUaCruHaEyeuL8WbncEJ1https://video.osgeo.org/lazy-static/thumbnails/ac10f668-2dd3-43c0-b3ed-32af0e449807.jpg2023 | Improving QGIS plugin developer experience - Antero KomiFOSS4G 2023 Prizren The National Land Survey of Finland (NLS) has developed a solution for sharing common QGIS plugin code among various plugins while maintaining a good developer experience. The challenge arises from the uncertainty of the runtime environment when sharing library code across different QGIS plugins. Python's import machinery doesn't readily support multiple versions of dependencies, limiting the available version of a library to the first-run code and making code sharing and API changes challenging. To overcome these limitations, NLS has created tools that improve the development process and enable easy sharing of QGIS plugin code using standard Python libraries. This streamlined workflow includes virtual environments, dependency management, debugger sessions, and runtime dependency reorganization during build-time, enhancing developer feedback and simplifying QGIS plugin development. NLS's approach involves initializing a QGIS plugin's development environment using a virtual environment and installing dependencies, enabling developers to launch QGIS with the plugin and its dependencies configured. This method simplifies testing, debugging, and code changes by providing a quicker feedback cycle. Additionally, runtime dependencies are reorganized during build-time, ensuring that the exact packaged version of a dependency is used at runtime, thus avoiding version conflicts. The tool also generates metadata files compatible with standard Python packaging tools, enabling code to be shared both as a Python library and a QGIS plugin. This approach offers an efficient and streamlined way to handle QGIS plugin development and code sharing, enhancing the overall developer experience and compatibility.https://video.osgeo.org/videos/embed/e2988b1b-1a51-469b-bb8e-423c5e455a24https://video.osgeo.org/w/joTEDLYvtgkoCeV5qpZEwzhttps://video.osgeo.org/lazy-static/thumbnails/b1a2a201-5e51-4fbb-bb78-7c5d5bf1d7e2.jpg2023 | Open data of digital twin city models in CityGML format and their import into OpenStreetMapFOSS4G 2023 Prizren Presenter: Taichi Furuhashi In recent years, 3D city models have gained popularity for supporting urban planning, citizen engagement, and research. As technology and infrastructure have improved, many cities and countries now use 3D models to address urban issues, encourage participation, and inform decision-making. The Japanese government, including the Ministry of Land, Infrastructure, Transport and Tourism's Project PLATEAU, have promoted open 3D city models and 3D point cloud data. Over 100 cities are currently developing and releasing open digital twin data in CityGML format as of February 2023. Binyu et al. published the results of these efforts, which are also highlighted in the 3D City Index benchmarking report. The report shows that seven out of 40 cities (18%) compared were Japanese cities. This report discusses the current state of open digital twin data in Japan, which is compatible with the open database license ODbL. The data can be imported into popular tools such as OpenStreetMap, and converters have been developed for this purpose. Since 2022, import work has been conducted on an experimental basis in collaboration with national and international communities. Sharing the results and challenges of this work is expected to promote the use of 3D city model data globally.https://video.osgeo.org/videos/embed/94f6b309-fd69-42bb-bb47-d9d76be49b1dhttps://video.osgeo.org/w/myf4wLxmsh5tAHsj3diWK2https://video.osgeo.org/lazy-static/thumbnails/20bc49ff-9a75-4780-bf13-3bb3891ed92a.jpg2023 | Gleo Feature Frenzy - Ivan SanchezFOSS4G 2023 Prizren Gleo is a nascent javascript WebGL mapping library. It aims to find a niche alongside Leaflet, OpenLayers, MapLibre and Deck.gl. This library was presented at FOSS4G 2022, with an emphasis on its architectural foundations: geometry/reprojection/antimeridian handling, and object-oriented abstractions for WebGL data structures. This session provides a tour of the features developed during the last year. These include, among others: - Work done as part of the OSGeo-OGC codesprints (OGC API clients, experimental symbols) - Animated symbols (render loop) - Symbol class decorators (ability to add more functionality to a cartographic symbol class during runtime) - Flexibility of scalar field manipulation (symbols that render as a magnitude instead of a colour, then the field renders as e.g. a heatmap)https://video.osgeo.org/videos/embed/a6773d39-86ba-4393-a93b-b492b81c9e7fhttps://video.osgeo.org/w/sAn8ovFgLcvioUjkD7s5PNhttps://video.osgeo.org/lazy-static/thumbnails/46ce83f6-7140-45fa-9dfd-4761e8fc5e7f.jpg2023 | How to get points of interest from OSM - Ilya ZverevFOSS4G 2023 Prizren This talk is exactly what it says on the tin: the presenter wants to extract restaurants or shops or train stations from OpenStreetMap. Or every POI there is. How do they do that and why extraction is so damn hard? This talk is not exactly a one-two-click instruction: we will see how data gets into OSM and why it is not easy to get it out.https://video.osgeo.org/videos/embed/d759e9de-7e69-44d1-bdfb-aaa64c2f55b4https://video.osgeo.org/w/nYCkR7169SqpFX1cjovSWXhttps://video.osgeo.org/lazy-static/thumbnails/2e4f8371-261e-4766-8a6f-58eac3b83669.jpg2023 | AR: Why open map data is critical to the future of computing - Edoardo NeerhutFOSS4G 2023 Prizren Use cases should drive product development, not the other way around. Maps and the products we use to consume them have the biggest impact on the world when these principles are adhered to. How many government portals have you visited where a carefully curated map is presented that hardly anyone sees let alone uses? Presenting the data to the user in an intuitive way that helps them make a decision or take action is essential. Large paper maps of the 1700s were well suited to a captain’s desk as their ships traversed the oceans. Road atlases of the 20th century helped to spur family adventures and weekend getaways as highway networks were constructed around the world. The small computers in our pockets today allow us to see when the next train will arrive and which one will get us home sooner. These examples took the technology of the day and used it to make products with significant impact on society. The mobile internet in particular changed mapping in one of the most notable ways since humans started abstracting 3D space on 2D surfaces. We’re on the cusp of another great shift in the way maps are used with many exciting use cases awaiting discovery. The technology powering this potential is Augmented Reality (AR). This talk will explore some of the use cases that AR is supporting and where it might be useful in future. We’ll look at how AR can be accessed and how the medium of access affects its utility. With these use cases in mind, we’ll assess how open tools and map data enable AR. Some of the data and tools we’ll look at include: - Geometries of pedestrian ways - Associated attributes: Incline, safety, lighting, access, surface type, accessibility features - Building entrances - 3D building data - VPS for localisation - Routing algorithms The talk will conclude with a summary of Meta’s approach to map building and how open source geospatial technology powers the maps we build for today and the years ahead.https://video.osgeo.org/videos/embed/b1f7f5ab-5889-4ba3-80d1-54da35894663https://video.osgeo.org/w/iWNYZniPBs6bzoR62t19EKhttps://video.osgeo.org/lazy-static/thumbnails/c4b60942-4b7d-4e8b-913a-cbb17cbed56e.jpg2023 | Selection of noise measurement points based on road network using PyQGIS - Choi Hyeong-gwanFOSS4G 2023 Prizren This is a plug-in created using pyQGIS, and an example of using it as basic data for decision-making on noise measurement station selection policy will be presented. As data for use in decision-making by public institutions, we introduce cases in which basic public data are utilized and processed to ultimately be used as core data for decision-making. It will be time to talk about how text-based data held and provided by public institutions is being used for their spatial expression and policy making, and why the opening of public data will play a more important role in the future.https://video.osgeo.org/videos/embed/9152798e-f62b-4571-976c-4c1c33bac9f7https://video.osgeo.org/w/pkDvJSUj7LS7VBqjqCLQ3dhttps://video.osgeo.org/lazy-static/thumbnails/caf716e5-698d-4aa5-b123-53743ed018fb.jpg2023 | loginOpen Source Basded 3D City Model Visualization - A LH Urban Digital Twin CaseFOSS4G 2023 Prizren Presenter: Cheun-gill Park The LH Urban Digital Twin Platform is a comprehensive solution for new town planning and development that utilizes open source digital twin technology. The platform combines real-world data with spatial information context to offer a three-dimensional sharing/collaboration integration support system. Developers will appreciate the platform's flexibility and scalability, which are based on a microservice architecture that connects multiple modules independently and loosely. The platform utilizes open standards WMS, WFS, WCS, WPS OGC Web Service standard features through GeoServer and GeoWebCache, a tile cache server that accelerates map delivery built into GeoServer. Additionally, the platform supports visualization of data in various formats using mago3D, F4DConverter, and Smart Tiling. The platform offers a range of services, including automatic apartment building placement, construction site safety management, 3D urban landscape simulation, environmental planning simulation, and underground facility visualization simulation. The platform also features real-time monitoring and visualization of IoT-based data, which is of particular interest to developers interested in smart city development. Firstly, the presentation will show how open source based digital twin visualize the complex 3D city models in a web browser. Secondly it will showcase the platform's features and data, including actual system's functions and service UI/UX through a video. Attendees will gain insights into how the platform can be used to support rational decision making during complex urban planning, design, development, and operation stages.https://video.osgeo.org/videos/embed/bd007059-2fda-434d-9216-40eadee36ce0https://video.osgeo.org/w/qtXReFihVCnzTN69ujZqyWhttps://video.osgeo.org/lazy-static/thumbnails/8943a07d-66d6-4905-a108-eff5c2da33ca.jpg2023 | Introducing decentralized geospatial digital twins: merging all LiDAR datasets in the world.FOSS4G 2023 Prizren Presenter: Charlie Durand How do you create a near-real-time source of 3D geospatial data from around the world? The French Institute of Cartography and start-up Extra are collaborating to develop a decentralized protocol for this purpose. The Circum protocol will merge LiDAR datasets from various providers, sell this data source to consumers, and redistribute the value back to the original providers. Circum uses blockchain technology and 3D surface reconstruction algorithms to carry out its mission. Learn about the protocol’s key mechanisms with the team at this conference.https://video.osgeo.org/videos/embed/c642d3e6-5308-4200-8244-f5897a2d0cdehttps://video.osgeo.org/w/tj29qvXtY6EnttxBqe17sWhttps://video.osgeo.org/lazy-static/thumbnails/d8fa4e96-bd64-48cc-9c44-22e783cd5249.jpg2023 | Implementing Digital Twin City in MapLibre with the integration of varied information sourcesFOSS4G 2023 Prizren Presenters: Ariel Anthieni & Sebastian Lopez Use case for the implementation of a platform that supports data that contributes to the publication and management of Digital Twins, based on the use of MapLibre as a web viewer and at the same time consuming information from different geospatial sources, including Mesh, Raster, DEM; and near real time data sources such as OneBusWay or OpenTripPlanner based on GTFS formats, for the comparison and analysis of information.https://video.osgeo.org/videos/embed/dd2ad662-db96-4021-b6e6-9502658fd302https://video.osgeo.org/w/4J6nD81GLiK48f2q4X4hfVhttps://video.osgeo.org/lazy-static/thumbnails/d5ccab6a-3b69-4c1d-9acf-9ed741577238.jpg2023 | A review of Mapillary Traffic Sign Data Quality and OpenStreetMap CoverageFOSS4G 2023 Prizren Presenters: Yunzhi Lin & Said Turksever Traffic signs are a key feature for navigating and managing traffic safely, affecting all of us on a daily basis. However, traffic sign datasets are lacking on open government data portals as well as OpenStreetMap (OSM). Mapillary’s computer vision capabilities can extract more than 1,500 classes of traffic signs globally from street-level imagery. Generated traffic signs are available on iD Editor, Rapid and JOSM Mapillary plugin to enrich OpenStreetMap data. Our team wanted to know how the accuracy of traffic signs detected by Mapillary compared with the reality on the ground (the ground truth). To answer this question we collected more than thousands ground truth data in San Francisco and used this information to produce the recall, precision, and positional accuracy of our machined generated traffic sign data. This provided some interesting insights in OpenStreetMap and the level of completeness and gaps of that dataset. In this talk, Mapillary’s traffic sign extraction capabilities, Mapillary generated traffic sign data against ground truth data and OSM’s traffic sign coverage in San Francisco’s downtown will be covered. It will be also addressed how data quality can be improved using various data collection techniques and the role of post-processing with Structure from Motion and control points annotations.https://video.osgeo.org/videos/embed/1e2bf732-6621-4a7b-b24f-b78433ba2be9https://video.osgeo.org/w/5nkEnFuu1x1qoVKU64dk73https://video.osgeo.org/lazy-static/thumbnails/51832a1b-a966-41d2-90d9-b85664dbea8d.jpg2023 | #30DayMapChallenge with Open tools - Raymond LayFOSS4G 2023 Prizren 30DayMapChallenge is a daily map making challenge which is held since 2019 every year in november on social network. This challenge has become year after year popular for the mapmakers community, and more than 8000 maps have been posted in 2022 session. In this talk it will be presented how this challenge has been completed and especially which open tools has been used to make the 30 maps.https://video.osgeo.org/videos/embed/235f4a6c-1d2a-4354-b5e2-72123ea951bahttps://video.osgeo.org/w/o5tdNdUShw3xup6BbWPb8Nhttps://video.osgeo.org/lazy-static/thumbnails/93f89ad1-aadf-45d1-9fb9-a3ff310eb2bc.jpg2023 | Time series raster data in PostgreSQL with the TimescaleDB and postgis_rasterFOSS4G 2023 Prizren Presenter: Jashanpreet Singh Raster data is a type of digital image data that is stored and processed as a grid of cells, each of which represents a specific area or location in the image. This grid is known as a raster or pixel grid, and each cell contains a value that represents a characteristic of the corresponding area or location in the image, such as color, elevation, temperature, or other attributes. Depending upon the resolution of the data these raster file sizes can vary from a few MBs to few GBs. Hence reading data from a large set of raster dataset which has time dimension associated with it is challenging. PostgreSQL can be used to store time series raster datasets, which are raster datasets that have a time dimension associated with them. This can be useful for storing and analyzing raster data that changes over time, such as satellite images, climate data, or land cover change data. To store time series raster datasets in PostgreSQL, we will use the postgis_raster extension, which provides support for storing and manipulating raster data in the database, and the TimescaleDB extension to add time series functionality to PostgreSQL, allowing us to store and query raster data with a time dimension. Using the TimeScaleDb extension we will partition the raster table by converting it to hypertable which is what TimescaleDB uses to optimally store and process time series data. This can help us to optimize query time. For aggregated values from raster data over time and space, we will use the Continuous aggregate feature of TimescaleDB which is a form of materialized view to pre-compute and store raster data over time. Moreover, TimescaleDB allows compression of data which can be very helpful in cases where the data is huge which is usually the case with raster datasets in postgres saving us space in the Database and optimizing some queries.https://video.osgeo.org/videos/embed/b2c8cd08-a781-424e-b804-92a52380f664https://video.osgeo.org/w/8pVyiNcCuNwVZ9NafKHAkuhttps://video.osgeo.org/lazy-static/thumbnails/10d02c83-437b-48fb-ac8f-7d89f2838ee1.jpg2023 | GeoNode at work: how do I do this, how do I do that? - Giovanni AllegriFOSS4G 2023 Prizren GeoSolutions has been involved in a number of projects, ranging from local administrations to global institutions, involving GeoNode deployments, customizations and enhancements. A gallery of projects and use cases will showcase the versatility and effectiveness of GeoNode, both as a standalone application and as a service component, for building secured geodata catalogs and web mapping services, dashboards and geostories. In particular the recent advancements in data ingestion and harvesting workflows will be presented, along with the many ways to expose its secured services to third party clients. Examples of GeoNode’s builtin capabilities for extending and customizing its frontend application will be showcased.https://video.osgeo.org/videos/embed/3c071540-5356-44f3-80ea-615ad20a854ahttps://video.osgeo.org/w/mtt4xHyK8gSr3WUFYJyo4Ghttps://video.osgeo.org/lazy-static/thumbnails/1d61c7be-42ea-4288-8f6f-fc8f93d4f761.jpg2023 | Lessons from Successful Enterprise GIS Implementations with QGIS & PostGIS - Santtu PyykkönenFOSS4G 2023 Prizren This talk will share some practical tips and tricks for managing an enterprise GIS workflow with QGIS and PostGIS. I'll showcase some real-world examples to highlight the benefits of using a centralized spatial database to manage GIS data, and walk through the steps to set up a QGIS project for creating, updating, and deleting data directly from QGIS. The presenter`s goal is to help organizations that are planning to set up a PostGIS-powered QGIS workflow and are looking for innovative ways to maximise the benefits of the joint powerhouse of QGIS and PostGIS. As we dive deeper, this presentation will explore some of the key technical aspects of using QGIS and PostGIS for enterprise GIS. Some tips for configuring and integrating the tools, and showcase how to set up an easily accessible end-user workflow for creating and editing data in QGIS using QGIS forms will be shared. Throughout the talk, some stories from different projects to illustrate how these tips and tricks have been successfully applied in practice will be discussed.https://video.osgeo.org/videos/embed/a5cc8832-4c3d-4708-8a1f-b993246bca4ehttps://video.osgeo.org/w/93kDB31BBaNk5aZmLYbZ5Lhttps://video.osgeo.org/lazy-static/thumbnails/fe96bacc-28ff-4176-bb9c-28f83b806243.jpg2023 | More correct maps/data with Postgis Topology rather then Simple Feature - Lars OpsahlFOSS4G 2023 Prizren The presentation discusses the utilization of Postgis Topology for updating land resource maps in Norway, particularly the AR5 map. The ease of use and security provided by Postgis Topology are highlighted, with focus on advantages like traceability and data security. The talk also delves into a related project involving ST_Intersection and ST_Diff operations on extensive Simple Feature layers covering Norway. Despite facing issues with Topology exceptions and performance using other tools like JTS OverlayNG, transitioning to Postgis Topology shows promising results. The presentation emphasizes how a Postgis Topology database model improves data normalization and comparison to Simple Feature models is drawn, likening the latter to using a spreadsheet model without foreign keys. The speaker explains the benefits of employing Postgis Topology in enhancing user-friendly and secure tools for updating land resource maps. Additionally, the challenges faced in previous projects involving spatial operations and their resolution through adopting Postgis Topology are discussed. The presentation underscores the advantages of normalized data storage and highlights how Postgis Topology offers a more efficient and effective approach compared to conventional methods like Simple Feature models.https://video.osgeo.org/videos/embed/411cb49e-7988-43c0-b90d-8040cc43d728https://video.osgeo.org/w/2hR7svoGrowB1xELe7Xcq4https://video.osgeo.org/lazy-static/thumbnails/5ffd0df9-318f-4b82-b050-6956cefe6ca9.jpg2023 | Leveraging the Power of Uber H3 Indexing Library in Postgres for Geospatial Data ProcessingFOSS4G 2023 Prizren Presenter: Jashanpreet Singh The Uber H3 library is a powerful geospatial indexing system that offers a versatile and efficient way to index and query geospatial data. It provides a hierarchical indexing scheme that allows for fast and accurate calculations of geospatial distances, as well as easy partitioning of data into regions. In this proposal, we suggest using the Uber H3 indexing library in Postgres for geospatial data processing. Postgres is an open-source relational database management system that provides robust support for geospatial data processing through the PostGIS extension. PostGIS enables the storage, indexing, and querying of geospatial data in Postgres, and it offers a range of geospatial functions to manipulate and analyze geospatial data. However, the performance of PostGIS can be limited when dealing with large datasets or complex queries. This is where the Uber H3 library can be of great use. By integrating Uber H3 indexing with Postgres, we can improve the performance of PostGIS, especially for operations that involve partitioning of data and distance calculations. This presentation will demonstrate the use of Uber H3 indexing library in Postgres for geospatial data processing through a series of examples and benchmarks. It will showcase the benefits of using Uber H3 indexing for geospatial data processing in Postgres, such as improved query performance and better partitioning of data. The potential use cases and applications of this integration, such as location-based services, transportation, and urban planning will be discussed. This talk will be of interest to developers, data scientists, and geospatial analysts who work with geospatial data in Postgres. It will provide a practical guide to integrating Uber H3 indexing with Postgres, and offer insights into the performance gains and applications of this integration.https://video.osgeo.org/videos/embed/0a734e0e-a7aa-4bd6-a6e5-d259c1ff9917https://video.osgeo.org/w/cC5DwnWvXYTD8joaUtp84Khttps://video.osgeo.org/lazy-static/thumbnails/92852a28-95fa-4042-afa6-ab199c94261c.jpg2023 | Aircraft trajectory analysis using PostGIS - Benjamin Trigona HaranyFOSS4G 2023 Prizren PostGIS supports geometries with a Z dimension and geometries with M (measure) values, but there are not a lot of examples of both of these being used together. One use case is the analysis of airplane tracks which requires both - that is to say every vertex has an altitude and a timestamp. This talk will show how live positional data transmitted from aircraft can be accessed in a PostGIS database. I will then show how a sequence of these positions can be represented effectively as LINESTRINGZM geometries which can be analyzed as trajectories using native PostGIS functions. With spatial SQL, we can do things such as determine anomalous changes in an aircraft's velocity or altitude and find the exact point in time at which two aircraft came closest to one another. The focus on the talk will be showing how future work on large datasets of ADS-B data can be done using PostGIS and other open-source geospatial tools.https://video.osgeo.org/videos/embed/5e1e2a2e-78f0-4c5d-ae7c-a286925c6eddhttps://video.osgeo.org/w/ugQ5xgRZNjdyZbFMQLdcJohttps://video.osgeo.org/lazy-static/thumbnails/17767ffd-f933-4bcb-a49c-81aa1ce03a3d.jpg2023 | G3W-SUITE and QGIS integration: state of the art, latest developments and future prospectsFOSS4G 2023 Prizren Presenter: Walter Lorenzetti G3W-SUITE is a modular, client-server application (based on QGIS-Server) for managing and publishing interactive QGIS cartographic projects of various kinds in a totally independent, simple and fast way. Accessing administration, consultation of projects, editing functions and use of different modules are based on a hierarchic system of user profiling, open to editing and modulation. The suite is made up of two main components: G3W-ADMIN (based on Django and Python) as the web administration interface and G3W-CLIENT (based on OpenLayer and Vue) as the cartographic client that communicate through a series of API REST. The application, released on GitHub with Mozilla Public Licence 2.0, is compatible with QGIS LTR versions and it is based on strong integration with the QGIS API. This presentation will provide a brief history of the application and insights into key project developments over the past year, including: - new editing functions and greater integration with QGIS tools and widgets in order to simplify the preparation of web cartographic management systems - QGIS embedded project management - WMS-T and MESH data management and integration of TimeSeries functions - on/off management for the individual symbology categories as in QGIS - integration of the QGIS Processing API to allow the integration of QGIS analysis modules and perform online geographic analysis - structured management for log consultation on three levels: G3W-SUITE, QGIS-SERVER and DJANGOhttps://video.osgeo.org/videos/embed/e4f5ab16-7514-47b1-bda3-984437804786https://video.osgeo.org/w/tC4Z4hkpncYZGYdqAa61Vyhttps://video.osgeo.org/lazy-static/thumbnails/21e462fd-29dc-4ffa-935e-8a72a461199d.jpg2023 | Routing Machine, state and side-effects - Marin NikolliFOSS4G 2023 Prizren The routing machine is about the route track a user can take from one point to the other with directions after reaching each point. For paid services such as Google maps, this already exists, and Google has applied a centralized model of usage. In this talk, we will talk about the type of libraries and already existing implementations that are almost deprecated but we can keep alive, since for the open source community, the ability to customize and change, they are essential. There are no active Open Source or community versions of the routing machine for maps. We need to change that. We can do that by improving a couple of things that already exist. Having more wrappers for different types of implementations, say Vue, or React, and finally Svelte. The routes should be updated and the selection of the type of route, car, bike, or walking should reflect the data received from maps. And define a safer business model. Open Source is more active and strong than paid and centralized services. We need to make sure that what we are offering and implementing as services to our clients can reflect a similar dedication the first have.https://video.osgeo.org/videos/embed/dfaff97f-969a-4454-934e-49411c2153bahttps://video.osgeo.org/w/iaCabUkMAAsMwsWzM4BwTMhttps://video.osgeo.org/lazy-static/thumbnails/dde209bc-794e-424f-946e-2af681928d01.jpg2023 | View Server - EO Data Visualization in a Cloud Native Way - Lubomir DolezalFOSS4G 2023 Prizren The View Server (VS) is MIT licensed, Docker based, cloud-native, scalable software stack providing external services for searching, viewing, and downloading Earth Observation (EO) data. Services implementations are following OGC Web services standards STAC, OpenSearch, WMS, WMTS, WCS. Having EOxServer and MapCache as core components, enables EO Data publication in a modular and configurable way. The process starts with data harvesting, preprocessing and metadata ingestion and ends with serving pre-cached and on demand rendered images through an attached Web client based on OpenLayers and EOxC libraries or on individual service endpoints. EOxServer allows dynamic generation of visual images from multi-spectral data. In this way, specific bands or channels of the original images can be selected as the grey or red, green, and blue output colour channels. It also supports flexible rendering based on previously extracted image statistics, pansharpening on the fly, filtering the long time periods of products intersecting with the query in CQL syntax utilizing metadata parameters and more. VS provides both S3, OpenStack Swift, HTTP and local files support when considering data storage and can be deployed in Docker Swarm environment via docker-compose templates or in Kubernetes environment as a set of Helm charts. The software stack was and is used by EOX in a quite a number of operational deployments for ESA, like the VirES projects, Copernicus Space Component Data Access system (CSCDA), or more recently Earth Observation Exploitation Platform Common Architecture.https://video.osgeo.org/videos/embed/8b0355a5-f8ad-4109-8c9d-ee09d4c3ccfbhttps://video.osgeo.org/w/nxEHRUQ2qpZ6NsipRPCtbuhttps://video.osgeo.org/lazy-static/thumbnails/86d7836e-3b51-4e17-ab18-7e312fa6ddb8.jpg2023 | Geoconnex.us: a standards based framework to discover water dataFOSS4G 2023 Prizren Presenters: Benjamin Webb & Tom Kralidis The Web has an increasing number of web applications being developed to freely provide their information and is a hub for open data publishing. For this to happen as a self-sustained ecosystem, data must be findable, accessible, interoperable, and reusable to both humans and machines across the wider web. This session delves into Web Best Practices for publishing data using open source and standards-based solutions. The geoconnex.us project is about providing technical infrastructure and guidance to create an open, community-contribution model for a knowledge graph linking hydrologic features in the United States as an implementation of Internet of Water principles. This knowledge graph can be leveraged to create a wide array of information products to answer innumerable water-related questions. Implementation has two parts: persistently identified real world objects and organizational monitoring locations that collect data about them. Both must be published to the Web using persistent URIs and communicated with common linked data semantics in order for a knowledge graph to be constructed. The Internet of Water Coalition supports the first part with a Permanent Identifier Service and reference hydrologic reference features (e.g. watersheds, monitoring locations, dams, bridges, etc.) within the US. In support of the second part, geoconnex.us takes advantage of pygeoapi using the OGC API - Features standard to publish structured metadata resources about individual hydrologic objects and the data about them. pygeoapi supports extending this standard by incorporating domain-specific structured data into the HTML format at the feature level, and allowing for external HTTP URI identification. In addition, pygeoapi’s flexible plugin architecture enables for custom integration and processes. This means that individual features from various sources can have structured, standardized metadata harvested by se...https://video.osgeo.org/videos/embed/ae7bd4f3-d874-47d0-aa74-04e251c4709chttps://video.osgeo.org/w/hr2jscbHpwnS3Q2UwLXKZkhttps://video.osgeo.org/lazy-static/thumbnails/1b3bbab5-01c5-4a71-a0f6-d39f9273d06e.jpg2023 | UNDP's one stop shop for cloud based geospatial data visualisation and analytical toolFOSS4G 2023 Prizren Presenter: Jin Igarashi United Nations Development Programme (UNDP) is a United Nations agency tasked with helping countries eliminate poverty and achieve sustainable economic growth and human development. Recent advances in technology and information management have resulted in large quantities of data being available to support improved data driven decision making across the organization. In this context, UNDP has developed a corporate data strategy to accelerate its transformation into a data-driven organisation. Geo-spatial data is included in this strategy and plays an important role in the organization. However, the large scale adoption and integration of geo-spatial data was obstructed in the past by issues related to data accessibility (silos located in various country offices), interoperability as well as sub-optimal hard and soft infrastructure or know-how. All this issues have been addressed recently, when UNDP SGD integration started developing a geospatial hub - GeoHub - to provide geospatial data visualisation and analytical tools to UNDP staff and policymakers. UNDP GeoHub is a repository of a wide array of data sets of the most recent time span available at your fingertips! It is a centralized ecosystem of geospatial data and services to support development policymakers. It allows users to search and visualise datasets, compute dynamic statistics and download the data. In addition, GeoHub provides a feature to share their maps with the community easily. With our repository, you can also upload to share your valuable data to share with the community! It connects geospatial knowledge and know-how across the organization to enhance evidence-based decision-making with relevant data-led insights. Geohub ecosystem consists of sveltekit & maplibre based frontend web applications and various FOSS4G software in the backend side. PostgreSQL/PostGIS, titiler, pg_tileserv and martin are deployed in Azure Kubernetes (AKS) to provide a...https://video.osgeo.org/videos/embed/8510a008-f984-4cef-a7b0-09b3b6b16ba1https://video.osgeo.org/w/uXPCAYgwMRw8S4TpMk84Z6https://video.osgeo.org/lazy-static/thumbnails/13cd0c26-b015-461c-9d2c-f2ca5d081f43.jpg2023 | Smart Maps for the UN and All - keeping web maps open - Hidenori Fujimura & Yui MatsumuraFOSS4G 2023 Prizren Do you want to broaden your horizons by learning about geospatial support for the United Nations operations? Or are you interested in developing highly efficient and portable geospatial apps which make use of PMTiles, COPC, COG, Raspberry Pi, and a cool Web3 technology named IPFS (Inter-planetary File System)? We are doing both in the Domain Working Group 7 (DWG 7) on Smart Maps of the UN Open GIS Initiative. In this participatory and voluntary DWG established in Firenze in August 2023, participants bring in their objectives and combine efforts within the Partnership for Technology in Peacekeeping to bring greater involvement to peacekeeping through innovative approaches and technologies that have the potential to empower UN global operations. In addition to our core objective to support the use of UN Vector Tile Toolkit in the UN Global Service Centre, DWG 7 is supporting domestic and campus-level service operations, and supporting 3D geospatial data such as point clouds and 3D city models. We are combining efforts to define and implement the concept of Smart Maps. The presenters will share with you their new effort named Model UN Development and Operations (MUNDO) that simulates geospatial support for the United Nations operations by making use of existing open geospatial data and our Smart Maps technologies. MUNDO project is not only useful for demonstrating the technology for the UN staff, but also useful for learning about the situation and the UN’s effort. They are happy to share with you their new concept of WebMaps3, which introduces Web3 technology for web maps. By combining IPFS and cloud optimized formats like PMTiles, COPC, and COG, we were successful in hosting a vector tiles service from a newly released nation-wide cadastre dataset on a Raspberry Pi, within 10 days after the release, by producing a 14GB PMTiles file.https://video.osgeo.org/videos/embed/ea8b24be-4ddd-4569-acb3-df4a2cb5cb03https://video.osgeo.org/w/wYizQhNbe6UMm3ZaRupYG4https://video.osgeo.org/lazy-static/thumbnails/a4460ff3-3ef1-4d38-ac57-f8dcbd7c31cd.jpg2023 | Offline web map server "UNVT Portable" - Taichi Furuhashi & Shogo HirasawaFOSS4G 2023 Prizren UNVT Portable is a package for RaspberryPi that allows users to access a map hosting server via a web browser within a local network, primarily for offline use during disasters. It is designed to aid disaster response by combining aerial drone imagery with OpenStreetMap and open data tile datasets. "UNVT Portable" is a map server that allows you to freely use web maps from devices such as smartphones even in an offline environment. It is mainly designed to work in an offline environment in the event of a major disaster, and various open data tiles are prepared in advance, such as drone aerial images taken after a disaster, OpenStreetMap, and satellite images released for free by JAXA（Japan Aerospace Exploration Agency）, etc. Combine sets to create the maps you need in times of disaster. We envision a use case for municipalities, etc. to understand the situation after a disaster and to respond to disasters. It is built using open source software such as Apache and MapLibre and Raspberry Pi, and is completely open source. Unlike tools such as Google Maps, which are difficult to use for secondary purposes, it is being developed as open source so that it can be released in a form that can be easily used by anyone, including local governments, international organisations and private companies.https://video.osgeo.org/videos/embed/facea5a3-7c29-4f54-aa2d-c2b4981d90abhttps://video.osgeo.org/w/bxfWJZHzaYViCsA48GJcCKhttps://video.osgeo.org/lazy-static/thumbnails/47602f63-71a7-40ee-b0bb-7713ca9a9c41.jpg2023 | Disaster Mapping Prioritization in OSM - Honey FombuenaFOSS4G 2023 Prizren One of the primary motivations for the Open Mapping Hub Asia-Pacific to increase the quantity and quality of OpenStreetMap (OSM) data in the region is the region's high exposure to multiple types of hazards. Apart from assisting response efforts following a disaster event by providing access to critical geospatial information, the hub aims to ensure that OSM data is already available in high-risk areas, even before a disaster occurs, to be used in critical anticipatory action such as developing early warning systems and mitigation plans. It is critical to have a systematic method for determining the OSM mapping requirements in these disaster hotspots. Although some tools separately assess the Completeness of OSM Data and the Disaster Risk Level of a location, a new tool that combines these assessments is required to highlight the areas that should be prioritized for mapping in OSM. The Open Mapping Hub Asia-Pacific created a data-driven method for determining which areas in OSM disaster mapping should be prioritized. The resulting method is deployed as a QGIS plug-in and distributed to OSM communities for offline assessments to identify disaster-prone areas that have not yet been mapped in OSM.https://video.osgeo.org/videos/embed/5558a725-fc53-4071-9e74-0064625ecb0fhttps://video.osgeo.org/w/kCkQ4B1SynZ3jtmwdyiGgThttps://video.osgeo.org/lazy-static/thumbnails/d8000cb6-03db-482b-879e-d8a0fd21ea1a.jpg2023 | Redmine Geo-Task-Tracker (GTT) Plugin - Taro MatsuzawaFOSS4G 2023 Prizren Redmine Geo-Task-Tracker (GTT) Plugin provides geospatial support for Redmine. Redmine is a well-known OSS issue management system. GTT Plugin enables to attach geospatial information(Point, Polyline and Polygon) to each issues. It is effective in management many issues based on geospatial infromation(ex. Road and park management). This talk introduces features and some use cases.https://video.osgeo.org/videos/embed/9ef0a14e-8115-4544-ad7a-087313f72fe1https://video.osgeo.org/w/2JYjkMZYhiRAMfab7JdsEQhttps://video.osgeo.org/lazy-static/thumbnails/f9a53558-0794-4cb5-b243-962166f9b14a.jpg2023 | MapComponents for your React application - Mathias GröbeFOSS4G 2023 Prizren MapComonents is an open-source framework extending React for mapping applications. It can be used to develop browser-based applications that do not require any backend, as well as web clients that use an arbitrary number of backend services. MapComponents uses MapLibre for rendering, raster, and vector tiles. It provides working defaults wherever possible enabling the usage with minimal parameters. At the same time, it exposes the entire MapLibre API allowing very granular control of the result where it is needed. Solutions for more complex and common requirements such as PDF export, a feature editor, layer tree, WMS loader, measure tools, or bookmarks are provided as ready-to-use and highly configurable drop-in components. Exotic requirements include the swipe tool, the magnifying glass that partially shows two synchronized MapLibre instances or components that render 3D meshes or deck.gl. Layers on the map are covered by several components and example codes in our lab repository. It can be combined with a backend for managing a more extensive data set. In addition, it also works as a progressive web app offline with most functions. Creating dashboards and complex user interfaces that combine maps and diagrams MapComponents is more straightforward than traditional approaches, given the declarative nature of React and its vast ecosystem of existing components. This presentation will show and explain an actual example and its function. MapComponents framework is available under the MIT license and developed by WhereGroup GmbH.https://video.osgeo.org/videos/embed/0e191546-a1b0-43da-88a6-41f7a98e7bb4https://video.osgeo.org/w/x9sYocPYpvzqhmQj7wBohkhttps://video.osgeo.org/lazy-static/thumbnails/30ff5551-367b-4489-8617-4bcf4f9d4e1f.jpg2023 | Processing & publishing Maritime AIS data with GeoServer and Databricks in Azure -Andrea AimeFOSS4G 2023 Prizren The amount of data we have to process and publish keeps growing every day, fortunately, the infrastructure, technologies, and methodologies to handle such streams of data keep improving and maturing. GeoServer is an Open Source web service for publishing your geospatial data using industry standards for vector, raster, and mapping. It powers a number of open-source projects like GeoNode and geOrchestra and it is widely used throughout the world by organizations to manage and disseminate data at scale. We integrated GeoServer with some well-known big data technologies like Kafka and Databricks, and deployed the systems in Azure cloud, to handle use cases that required near-realtime displaying of the latest AIS received data on a map as well background batch processing of historical Maritime AIS data. This presentation will describe the architecture put in place, and the challenges that GeoSolutions had to overcome to publish big data through GeoServer OGC services (WMS, WFS, and WPS), finding the correct balance that maximized ingestion performance and visualization performance. We had to integrate with a streaming processing platform that took care of most of the processing and storing of the data in an Azure data lake that allows GeoServer to efficiently query for the latest available features, respecting all the authorization policies that were put in place. A few custom GeoServer extensions were implemented to handle the authorization complexity, the advanced styling needs, and big data integration needs.https://video.osgeo.org/videos/embed/fc39deeb-4b0a-4d29-bcb7-b2334d0ff663https://video.osgeo.org/w/2ydZ4CVv8jsfGqVumMFVcFhttps://video.osgeo.org/lazy-static/thumbnails/2d8b3423-be4e-4e2d-a101-abcbada677d7.jpg2023 | ESA-NASA-OGC Open Science Persistent Demonstrator - Piotr ZaborowskiFOSS4G 2023 Prizren The Open Science Persistent Demonstrator (OSPD) is a long-term inter-agency initiative aiming to enable and communicate reproducible Earth Science across global communities of users and amplify inter-agency Earth Observation mission data, tools, and infrastructures. This talk will highlight the status and roadmap of the initiative (kicked off in 2023) and will provide an outlook on the first pilot activities of the demonstrator, as well as opportunities for participation for the FOSS4G community. In the scope of this activity, ESA, NASA and OGC work together on the development of a long-term Open Science framework (e.g., a permanent open science demonstrator) in which participating organisations provide data, tools, and infrastructure in a coordinated approach, building on existing investments where appropriate. In the frame of this activity, the OGC supports the Open-Source and Open Science Community by developing a persistent demonstrator that makes Open Science more tangible to a bigger audience, helps in exploring new forms of communication of scientific results to stakeholders, and helps develop the necessary standards to ensure the highest levels of interoperability across participating organizations. At the same time, it makes Earth Observation results available to other disciplines and communities, creates attention beyond the Earth Observation community, and directly impacts decision makers and political agendas. The goal here is to demonstrate interoperable, collaborative research that allows reuse of existing components. These other resources are either offered as part of emerging Open Science Environments or in the form of either directly accessible “cloud-native” data/functions or by means of Web APIs. To reach this goal, it is essential to empower communities of practice to share FAIR (Findable, Accessible, Interoperable, Reusable) descriptions of their resources and capabilities. To allow this system to scale, it is crucial t...https://video.osgeo.org/videos/embed/0c98f0dd-3701-4c8b-8714-c34c65f65f01https://video.osgeo.org/w/tL3m8YoWw6KvsU8FBs4LKRhttps://video.osgeo.org/lazy-static/thumbnails/c3537e67-e3a4-4bfe-b8c0-c0765e371296.jpg2023 | Open Data Analytics API in GeoNetwork - Gravin FlorentFOSS4G 2023 Prizren In the OGC world, you have a catalog to look for metadata/datasets, and the OGC API Features to fetch the data, paginate, filter and so on. The use cases have evolved since then and data consumers expect more complete abilities from their data catalogs. Nowadays we want to analyze, understand and reuse our datasets and providing such tools is a great way to encourage data owners to share and open their warehouse. A data API could then offer: - Full text search on data points - Data fetching, paging, sorting and filtering - Data analytics, aggregation, computation - Data joining - And those operations should perform in an optimized and scalable manner. - It's what GeoNetwork has offered for decades now, and GeoNetwork is taking the move to opendata to address all those use cases. You might have heard about columnar formats, and columnar vector formats such as Arrow, Parquet… After an introduction of the context and the expectation of a well shaped data API, we’ll present different approaches and types of flow architectures - Warehouse formats - Static files (parquet) - Index - Databases (PostGIS, Cytus) - Api models and implementation - OGC API Features limitation - Duck DB - Pure SQL And compare the different stack in terms of efficiency depending on various use cases.https://video.osgeo.org/videos/embed/e0ccea8c-d701-47c6-b303-da165bfe9457https://video.osgeo.org/w/eLQkxfPree4MipPStKq2Akhttps://video.osgeo.org/lazy-static/thumbnails/53b9cf2b-75ed-4d5c-a120-6e0149b9fdb0.jpg2023 | Implementation of Statistical Geoportals in Latin America and the Caribbean - Walter ShilmanFOSS4G 2023 Prizren Based on the implementation of the Global Statistical and Geospatial Framework (GSGF) proposed by the UN and implemented in Latin America and the Caribbean by the Economic Commission for Latin America and the Caribbean (ECLAC), a set of specific technological components were developed, such as a geoportal, a statistical manager and an API with the possibility of consuming information from different applications. At the same time, components already existing in the community were implemented such as Kobo Toolbox, GeoNode, Airflow, MapLibre, Nominatim and Metabase for the integration of information from the collection in the territory to the publication of the data. The project was initially carried out with a group of countries: Argentina, Paraguay, Honduras, Guatemala, Dominican Republic, Costa Rica and Ecuador.https://video.osgeo.org/videos/embed/6f89512e-b501-4494-8165-1c8525fa953bhttps://video.osgeo.org/w/8NCDiXsXzsKaLcowJ7BS9Whttps://video.osgeo.org/lazy-static/thumbnails/ba939e46-126d-4a58-8d71-761c97f6bf43.jpg2023 | Land of 60000 zoning plans - QGIS to the rescue! - Ville HamunenFOSS4G 2023 Prizren This project was a pilot of a larger upcoming project, where the aim is to produce a national interoperable data model for every valid zoning and city plan in Finland. The project is part of the development of the Finnish Environment Institute’s Built Environment Information System and the harmonization of national land use planning information. The aim of this presentation is to present the overall workflow of the project and the transition from proprietary data towards an open source national database with common spatial and descriptive information. Currently the data used in municipal decision making processes in Finland consists of proprietary data that is lacking spatial information or is outdated. The transformation of the zoning and city plans from two different data providers created a lot of topological errors and unmatched geometries. QGIS was a key tool for fixing these errors - the digitizing and geometry repair tools were used in solving these issues. This pilot project was implemented in Southern Savonia, Finland. In the region, zoning has been executed for approximately 80 % of the whole land area. The focus of the project was to investigate the compatibility of the base data and how to automate the processes of merging, fixing, updating and comparing the data. The data was in vector format and was provided by the National Land Survey of Finland and municipalities of Southern Savonia. The automation processes were built with a python script and the quality control was made with manual digitization. The official documentation of the zoning and city plans were included in the borderline vector data. The final product was uploaded to a GitHub repository. The project also managed to produce a timeline for the upcoming nationwide project and the distribution between automated and manual workload in similar projects.https://video.osgeo.org/videos/embed/3f32c429-65e4-4ed8-a28f-e3c7727e22a6https://video.osgeo.org/w/3dP5m7ENdY1wVCCFWHUdnehttps://video.osgeo.org/lazy-static/thumbnails/4540f16c-05b9-4db3-b939-50093145fd84.jpg2023 | A Soft Transition to FOSS in a Decentral Administration - Thomas Marti & J.Wolfgang KaltzFOSS4G 2023 Prizren The public administration of the Swiss canton Aargau chose to use OSS for the publication of all open WMS, using GeoServer-Cloud and PostgreSQL. Meanwhile, the decentral offices, which gather geographical data and style this data are used to using proprietary software for this purpose. The strategy chosen was to provide a soft transition to OSS, by providing automated conversion processes based on a new FOSS project and by improving existing OSS with regards to styling conversions towards SLD.https://video.osgeo.org/videos/embed/11fc36a9-9d4e-4061-8159-cacea46ce5afhttps://video.osgeo.org/w/7UF39FqYRrh9TJZsndkLPjhttps://video.osgeo.org/lazy-static/thumbnails/89a713ba-56b4-4eef-afb4-e56839e17d5b.jpg2023 | Evaluation and assessment of open source projects - Tero RönkköFOSS4G 2023 Prizren The National Land Survey of Finland (NLS) is a government agency that maintains finnish property register and uses various administrative information systems that handle crucial data. To develop, manage, and maintain these systems, NLS follows a Business Technology Standard model and aims to publish its own production applications as open source software and use open source applications in development when possible. During the development of new information systems, NLS follows an agreed and approved management model and uses only components and software that meet development guidelines. Examples of such components are QGIS and PostgreSQL. However, if NLS needs to adopt and evaluate components that are not yet included in the development guidelines, it must evaluate associated open source projects, record and process considerations, and accept them in accordance with the change management process. To evaluate the maturity of open source projects, NLS has developed a tool that continuously evolves to reflect the needs of the organization. The tool is a checklist of criteria that can be used to assess the maturity of a project and compare it to similar products. The presentation explains the items in the tool and their significance as part of the metrics. The tool that NLS has developed could be valuable for individuals and companies in similar positions when evaluating open source projects for their needs. The experiences gained by NLS can also help improve weak points that open source software producers may not have considered in their own projects.https://video.osgeo.org/videos/embed/37f190c0-fcdd-437e-8a60-385c78f3c1c0https://video.osgeo.org/w/2MRLo7fsZYdA6RCeAQxzP3https://video.osgeo.org/lazy-static/thumbnails/77f9c6f4-7b06-4d82-aefd-f74e6db06990.jpg2023 | Integrated modeling with k.LAB... and QGIS - Andrea AntonelloFOSS4G 2023 Prizren The Knowledge Laboratory, in short k.LAB, is a software stack that embraces the FAIR principles: findable, accessible, interoperable and reusable. Its objective is to support linked knowledge across the borders of the domains of single modelers and scientists. k.LAB’s fascinating novelty is the use of semantics to create a natural language to describe the models and the qualities that want to be observed. Modelers can develop their models and publish them to the network. Publishing makes them findable and accessible within the network. Since everything in the network is observable, when running a model, k.LAB looks for the best knowledge unit able to resolve the particular request. Interoperability is build and reusability is a natural consequence. The k.LAB software stack is free and open source and relies on various projects of the Osgeo community as Geoserver, Openlayers and the Hortonmachine. It has been in development for almost 2 two decades and got a particular visibility boost in 2021, when the Statistics Division of the UN Department of Economic and Social Affairs and the UN Environment Program, in collaboration with the Artificial Intelligence for Environment & Sustainability at the Basque Centre for Climate Change, launched the Artificial Intelligence powered application for rapid natural capital accounting: the ARIES for SEEA Explorer. Lately a python client that allows interaction with k.LAB has been released. This opens up to new ways to observe the world from within common GIS tools as for example QGIS. In this talk, an overview of the state of the art of the project will be given.https://video.osgeo.org/videos/embed/0e8046f6-8d30-45aa-a655-d64610a7ffa4https://video.osgeo.org/w/44PhKGAMWHGT65ZmWCgDSDhttps://video.osgeo.org/lazy-static/thumbnails/283cbf09-7efa-4c98-8827-d530f060f9a7.jpg2023 | geoserverx - a new CLI and library to interact with GeoServer - Krishna LodhaFOSS4G 2023 Prizren Geoserverx is a modern Python package that provides an efficient and scalable way to interact with Geoserver REST APIs. It leverages the asynchronous capabilities of Python to offer a high-performance and reliable solution for managing Geoserver data and services. With geoserverx, users can easily access and modify data in Geoserver, such as uploading and deleting shapefiles, publishing layers, creating workspaces, styles, etc. . The package supports asynchronous requests along with synchronous method to the Geoserver REST API, which enables users to perform multiple tasks simultaneously, improving performance and reducing wait times. Apart from being implemented in Python Projects, geoserverx also provides CLI support for all of it's operations. Which makes it useful for people who want to avoid Python all-together. This talk will discover for the very first time about how geoserverx work and underlying code ideology. Along with that some light on upcoming modules to be integrated in geoserverx will be spread.https://video.osgeo.org/videos/embed/18d3ca42-bc87-47ce-b684-d8a353b39585https://video.osgeo.org/w/6u5jtPPAn3jszJCybGu1Arhttps://video.osgeo.org/lazy-static/thumbnails/0896122e-d21f-4640-8232-c1691fb0c360.jpg2023 | GeoServer Orientation and Demo - Jody GarnettFOSS4G 2023 Prizren Welcome to GeoServer, a popular web service for publishing your geospatial data using industry standards for vector, raster and mapping. If the previous sentence made no sense to you, or if you are new to foss4g, or even just new to GeoServer, attend this talk to get pointed in the right direction! This presentation provides a gentle introduction to FOSS4G and we will do our best to say the quiet part out loud: - Demo: We have learned from experience, and will introduce GeoServer using a demo. - Usage: Concepts using both a demo, and diagrams to connect to your data and publish as a spatial service. - Checklist: Preflight check-lists capturing common oversights when deploying GeoServer for the first time. - Value: What role GeoServer plays in your organization and what value the application provides. - Community: How the project is managed, and a discussion of the upcoming activities.https://video.osgeo.org/videos/embed/2c692e28-3ff1-48a4-80a3-0d8553c024edhttps://video.osgeo.org/w/fyYS3kTioWYNkiYErpZNwxhttps://video.osgeo.org/lazy-static/thumbnails/4e7179c4-38f5-4846-9b66-eb9a082bda20.jpg2023 | GeoServer Cloud in depth - Gabriel RoldanFOSS4G 2023 Prizren A typical GeoServer deployment involves exposing it as a front service to publish a number of layers directly to the internet, where a single instance, or even a couple, and an on-premise deployment model is enough. Within larger companies though, more often than not GeoServer is a critical component of a more significant infrastructure, used to host tens of thousands of layers to accommodate organization requirements across various departments and workflows that involve several other systems, and complex cloud deployments. These scenarios are where GeoServer Cloud shine, enabling devOps teams to set up clusters of GeoServer pods that are scalable, have improved resiliency, security, and resource utilization; and increased observability and integration with telemetry systems for monitoring, debugging, and tracing. This talk will explore in depth how GeoServer Cloud achieves these goals, from technology and design choices to detailed overviews of technical improvements that were required, supported by success stories of current CampToCamp customers that got GeoServer Cloud in production.https://video.osgeo.org/videos/embed/75fac8e8-ec51-4782-aa27-4a89f196afdbhttps://video.osgeo.org/w/hKeF84zg13G2E7eLSGdLTMhttps://video.osgeo.org/lazy-static/thumbnails/39ffd70b-6a96-41ba-92b4-2f047712e389.jpg2023 | GeoServer Feature Frenzy - Andrea Aime & Jody GarnettFOSS4G 2023 Prizren GeoServer is a web service for publishing your geospatial data using industry standards for vector, raster and mapping. It powers a number of open source projects like GeoNode and geOrchestra and it is widely used throughout the world by organizations to manage and disseminate data at scale. What can you do with GeoServer? This visual guide introduces some of the best features of GeoServer, to help you publish geospatial data and make it look great! GeoServer has grown into an amazing, capable and diverse program - attend this presentation for: A whirl-wind tour of GeoServer and everything it can do today. A visual guide to some of the best features of GeoServer. Our favorite tricks we are proud of!https://video.osgeo.org/videos/embed/879ba0bd-4238-4f0e-8033-31a96bcbed0bhttps://video.osgeo.org/w/uFkAE3U4PQhod71nSxmoiFhttps://video.osgeo.org/lazy-static/thumbnails/84ebed54-7869-4a43-a404-3ce44fc690f9.jpg2023 | Mapping COVID-19 epidemic data using FOSS - Paolo ZatelliFOSS4G 2023 Prizren This talk focuses on comprehending spatial and temporal patterns of the COVID-19 pandemic in the Trentino region, Italy. To achieve this, a comprehensive database has been developed and continually updated. The region's significance lies in its role as a transportation corridor and a popular tourist destination, both of which have influenced the virus's spread. The dataset captures COVID-19 cases, recoveries, deaths, and age groups on a daily basis at the municipal level from March 2020 to 2022. The project emphasizes privacy, aggregating data weekly and applying a threshold to protect small numbers. The use of official data from the local Health Authority ensures data validity and patient confidentiality. The data management system is powered by a free and open-source relational database system (MySQL), ensuring geographic data processing and storage. A user-friendly WebGIS interface has been developed, prioritizing clear data presentation on both large screens and mobile devices. This interface enhances user exploration while distributing processing load between server and client sides. Geospatial data from the OpenStreetMap project underpins the cartography, and a virtual machine integrates software and data on the server side. Leaflet Javascript libraries enable data rendering, ensuring flexibility across various devices. Data exchange between server and client is facilitated through geojson tables, dynamically generated based on user requests. Overall, the project aims to support decision-making through data-driven insights into COVID-19 spread and its temporal evolution.https://video.osgeo.org/videos/embed/e83df787-5bf6-4d88-ac6e-c97a37cd77a9https://video.osgeo.org/w/scagETJ6f2cqFdK7nG6QL7https://video.osgeo.org/lazy-static/thumbnails/db178d02-778d-4d83-b156-69b8d0150eb2.jpg2023 | Fostering Knowledge Sharing through Interlinked Spatial Knowledge Graphs - Nathan McEachenFOSS4G 2023 Prizren This talk will present the approach for implementing GKI requirements and GeoPlatform.gov interoperability use cases using open-source software. This will include the Common Geo-Registry concept for managing the authoritative and interoperable requirements, the Data Mesh framework for making the solution distributed and transitive, and the spatial knowledge graph repository for managing temporal, and versioned dependencies. We will also present the metamodel architecture used by GeoPrism Registry for managing graph dependencies, facilitating interoperability, publishing, and how it currently is being used as a graph repository.https://video.osgeo.org/videos/embed/d41c7fe4-9fdb-461e-a76f-68ced726a726https://video.osgeo.org/w/apJnAuv1iRKHoWNC5nzfZmhttps://video.osgeo.org/lazy-static/thumbnails/c2fccc32-6e46-4aba-8de2-17f406b44455.jpg2023 | GIS-based intelligent system for infectious disease disaster response- Min Young LeeFOSS4G 2023 Prizren This study addresses the lack of disaster response systems for medical and biological emergencies, aiming to develop a GIS-based platform for effective response to infectious diseases. The platform integrates pathogen detection, risk assessment, epidemiological investigation, and situational awareness using artificial intelligence and big data technologies. It leverages satellite and sensor data to analyze water pollution, providing real-time insights on contamination levels and affected areas. The system comprises seven layers for data management, interoperability, application, and security, enabling users to access geographic information and statistics. The platform's effectiveness was demonstrated through pilot case studies. In Limassol, flash floods polluted a reservoir, and the platform tracked pollution levels over time using satellite imagery and sensor data. In a Korean case, African swine fever spread near a river due to high precipitation. The platform helped assess ASF cases, plan containment strategies, and monitor tap water quality in real-time. The platform's AI-driven information database enhances infectious disease response, empowering first responders with quick detection and informed decision-making. As the system evolves and data analysis deepens, its potential for reducing industrial accidents through pattern recognition and machine learning becomes apparent.https://video.osgeo.org/videos/embed/4c3277af-77a9-4580-81e8-2f350695aeeehttps://video.osgeo.org/w/rnRjHrKpVP2HSm6ek8FJBbhttps://video.osgeo.org/lazy-static/thumbnails/d0e018a6-fe34-4c2c-a25b-6dc6862d971d.jpg2023 | Developing FOSS4G Walkable Living Area Planning to Aid Korean 15-Minute City - Junyoung ChoiFOSS4G 2023 Prizren The concept of 15-minute cities, aiming for accessible amenities within a short walk, has gained traction. In Korea, Chrono-Urbanism supports walkable neighborhood planning where essential services align with residents' living spaces. By evaluating walkability, bike accessibility, and transit, this study develops a FOSS4G-based tool for urban amenity distribution. The tool integrates multiple accessibility aspects to determine optimal urban amenity locations, using a network-based approach to minimize travel costs. It's designed using QGIS and Python, considering resident population, existing amenities, and urban environment. The tool's application assists officials, planners, and researchers in 15-minute city projects, identifying amenity needs, enhancing walkability, and aiding sustainable urban development. By leveraging FOSS4G, this tool promotes data-driven amenity placement, encourages sustainable transportation, and contributes to equitable urban development. It aligns with the 15-minute city vision, enhancing citizens' quality of life and fostering transparency and collaboration between planners and the public.https://video.osgeo.org/videos/embed/cd817b59-fc5a-4b80-8dcc-9caadf506c08https://video.osgeo.org/w/58gSsEf3TpTMuAtFkyJGtNhttps://video.osgeo.org/lazy-static/thumbnails/379ae19d-b7b0-40ef-9d3d-8937dae8e6fa.jpg2023 | Traffic speed modelling to improve travel time estimation in openrouteserviceFOSS4G 2023 Prizren Presenter: Christina Ludwig The talk discusses the challenge of incorporating real-time traffic speed information into open-source routing systems that use OpenStreetMap (OSM). Most open-source routing engines rely on static driving speeds for different road types due to the lack of comprehensive and open traffic speed data. The presentation introduces a method to model hourly traffic speeds for street networks in ten global cities and their integration into the openrouteservice routing engine. Existing traffic speed datasets often lack openness, consistent formats, or OSM integration. Uber Movement offers a valuable dataset, but it only covers roads with sufficient Uber user data. The study proposes a model for traffic speed based on OSM tags, an adapted betweenness centrality indicator, and Twitter data. A gradient boosting regression model is trained and evaluated using Uber traffic speed data as reference. The model's performance is assessed using metrics like R2, RMSE, and MAE. To use the modelled traffic speed data, an experimental traffic integration is implemented in openrouteservice. The effect of external traffic speed data on travel time estimation is evaluated by comparing it to the Google Routing API and the original openrouteservice. The study emphasizes the need for further research on transferability, deep learning approaches, and integrating data from other social media platforms as Twitter has become a paid service. The presentation highlights the potential of leveraging open data and open-source tools for addressing real-time traffic challenges in routing services.https://video.osgeo.org/videos/embed/21688a90-1792-48ba-aced-0f9c9b01e09chttps://video.osgeo.org/w/aADr3kxa7QET5VarhP4Jeghttps://video.osgeo.org/lazy-static/thumbnails/9b73f3eb-6c32-4921-8b89-d33e93357317.jpg2023 | Methods & challenges in time-series analysis of vegetation in geospatial domain - Agata EliaFOSS4G 2023 Prizren This talk discusses leveraging global, historical, and high-frequency remote sensing data to monitor and analyze environmental variables, particularly focusing on ecosystem resilience in forests. Forest ecosystems' importance in the carbon cycle and climate change mitigation strategies is highlighted. The study emphasizes the need to account for climate-related confounding factors in analyzing vegetation anomalies and predicting resilience. A machine learning model is introduced to explore relationships between environmental metrics and forest resilience indicators. The workflow involves processing time-series of vegetation, climate, and other environmental data, addressing challenges like deseasonalization, detrending, and confounding effects removal. It emphasizes open data and tools, using Google Earth Engine and the Joint Research Centre Big Data Analytics Platform for data processing. The study showcases the diversity of data sources, formats, and tools employed. The ultimate goal is to present a workflow for handling vegetation-related time-series data in a geospatial context, emphasizing the role of open data and open-source tools in enabling such analyses.https://video.osgeo.org/videos/embed/4db89aaf-a4c3-4234-8bca-3c6591a24d11https://video.osgeo.org/w/hMr51umrJ1QLXejFL9dzqKhttps://video.osgeo.org/lazy-static/thumbnails/0e3cb167-00b4-435f-95d0-e79b1002e809.jpg2023 | End-to-end deep learning for boundary regularization & vectorization of building footprints.FOSS4G 2023 Prizren Presenter: Simon Šanca This paper addresses the demand for automatic methods to manage and update public information stored in spatial databases, focusing on building footprint extraction and vectorization. Building footprints are vital for diverse applications like disaster management, urban monitoring, and cadaster updates. The paper presents an end-to-end workflow using deep learning, combining semantic segmentation with boundary regularization for building footprint extraction. Four convolutional neural network architectures are employed for binary semantic segmentation: U-Net, U-Net-Former, FT-UNet-Former, and DCSwin. The workflow begins with semantic segmentation using the trained models, followed by boundary regularization applied to the segmentation masks. The projectRegularization method combines semantic segmentation and boundary regularization through a generative adversarial network (GAN). The approach aims to create regularized building footprints with more consistent boundaries for cartographic and engineering applications. The workflow extends into developing an efficient vectorization methodology using open-source software solutions, aiming to make the results applicable in any GIS environment. The method is tested using the MapAI dataset and is intended to improve building footprint representations for practical use. The regularization and vectorization workflow is developed into a QGIS plugin, enhancing QGIS functionality. Overall, the paper seeks to advance convolutional neural network research for automatic building footprint extraction, contributing to open-source GIS software and improving the representation of building footprints.https://video.osgeo.org/videos/embed/87ea2339-a454-4296-8d88-055b9bae74dfhttps://video.osgeo.org/w/9jJLQK15NWjYZxq8j9gpEfhttps://video.osgeo.org/lazy-static/thumbnails/909918db-5ac4-4339-b9c7-db4b925c5ea4.jpg2023 | Site Calibration with PROJ and WKT2 - Javier Jimenez ShawFOSS4G 2023 Prizren in various surveying projects, the use of local coordinate reference systems (CRS) tailored to project sites is common, especially when stringent accuracy requirements cannot be met by standard GNSS surveying techniques. Creating such local systems involves complex processes, often necessitating specialized tools and skills like point triangulation with total stations. However, not all project tasks require such precision; many can be performed using GNSS receivers with real-time kinematics (RTK) or post-processing kinematics (PPK), which reduces costs and time. Nonetheless, coordinates still need to be aligned with the project's local system, leading to the concept of site calibration – establishing a correspondence between a well-known CRS and the local system. This paper introduces an interoperable and open-source solution for site calibration. Unlike proprietary algorithms tied to specific software, this solution is based on open standards and can be fully implemented using open-source software. The authors outline the workflow to mathematically solve the site calibration problem and represent it as a self-contained coordinate reference system. They detail how the Eigen open-source library and the OGC 18-010r7 standard (WKT version 2) are employed. This approach ensures compatibility and interoperability among various applications. A significant contribution of the paper lies in comparing and analyzing two mathematical methods to derive WKT2 representations for site calibration. The first method generates a derived projected system using a PROJ-specific 3D transformation, while the second method splits the problem into horizontal and vertical components, resulting in a compound coordinate reference system. The paper discusses the advantages and drawbacks of each approach in terms of solution clarity and sensitivity to measurement errors, particularly in the vertical axis. Overall, the paper outlines a comprehensive, open-source solution...https://video.osgeo.org/videos/embed/4366db64-b4f5-4066-952d-39f288358dbehttps://video.osgeo.org/w/jbT2gE8mJFXDz9wAvunAtmhttps://video.osgeo.org/lazy-static/thumbnails/206f1311-2ec2-4ad3-8ea5-5b3c85b9b2f2.jpg2023 | Bulldozer, a free open source scalable software for DTM extraction - Dimitri LallementFOSS4G 2023 Prizren In this paper, the authors present a scalable software called "Bulldozer," designed for extracting Digital Terrain Models (DTM) from Digital Surface Models (DSM). The motivation stems from the increasing availability of 3D data, particularly from LiDAR and spatial Earth Observation missions, which prompted the French spatial agency CNES to develop tools to process such data at scale. Bulldozer operates as a modular pipeline and encompasses preprocessing, DTM extraction, and post-processing steps. To address challenges like noisy data and outliers, the pipeline employs strategies for outlier detection, hole filling, and DTM enhancement. The authors emphasize that Bulldozer's innovation lies in its ability to process DSMs of arbitrary size and from various sources. By introducing a stability margin and employing a tiling strategy, the algorithm ensures memory-efficient and parallel processing, with scalability based on Python 3.8's shared memory features and multi-processing paradigm. Bulldozer's accessibility has been enhanced through interfaces, including a QGIS plugin for novice users, a Command Line Interface (CLI) for advanced users, and a Python API for developers. This software demonstrates impressive performance, extracting high-quality DTMs from substantial input DSMs in less than 10 minutes, making it potentially valuable to the FOSS4G community.https://video.osgeo.org/videos/embed/9349607f-2864-4fa0-940e-a9f4a44898a2https://video.osgeo.org/w/2yV8Mr4XKxsCL7AL3qmAaihttps://video.osgeo.org/lazy-static/thumbnails/aeb7462e-d1cf-4caf-ae92-22e3a8e49a57.jpg2023 | Collaborative mapping without internet connectivity - Volker MischeFOSS4G 2023 Prizren This talk is about a prototype that enables collaborative mapping without the need of any internet connectivity, only a local network is required. It runs fully in the browser, hence is cross-platform, it basically runs on any smartphone. The users form a peer-to-peer network in order to exchange their data. It can be used in situations where there either is no internet infrastructure, it's spotty or it was destroyed. In the disaster response case, only a local network, without any server infrastructure, would be needed. In the talk you'll learn about content-addressing, WebRTC and peer-to-peer networks and of course experience a live demonstration of the prototype.https://video.osgeo.org/videos/embed/0cb1af35-91b2-44d7-b8d4-6f6def6216c3https://video.osgeo.org/w/6B1FCQX5bU7Nuv91jZfPp1https://video.osgeo.org/lazy-static/thumbnails/ca3419c4-4746-425f-9b18-ffee04131b68.jpg2023 | Application of FOSS4G for improving the environmental impact assessment process- Sanghee ShinFOSS4G 2023 Prizren Because environmental impact assessment(EIA) process is a combination of detailed fields that require a lot of expertise (e.g., noise, air pollution, odor, water pollution, ecological environment, living environment, etc.), despite its long history, the process is still complex and slow, and it is not easy to break away from the document/drawing-centered work process. Since the nature of the environment involves many geographic/spatial context, if it can be assisted with a spatio-temporal system, it can be expected to show very high efficiency compared to the current process. To verify the feasibility of such a system, we adopted a FOSS4G-based approach and developed a pilot system in this study. Specifically, we used GeoServer and Postgresql/PostGIS for handling and providing data spatially, and Cesium for 3D geospatial based visualization. We focused on the design and implementation of APIs to assemble the sub-processes of EIA, as well as the visualization and UI of the pilot system. This system demonstrates how the noise propagate during and after the construction in an interactive way. We expect the system will increase the non-expert stakeholder's understanding of noise propagation visually. Through this presentation, we will discuss our findings implemented in a EIA process centered on the noise, from the first step of applying for approval from the civil/construction operator to the last step of deriving the final evaluation opinion by the noise expert in charge, and provide clues to the future of Digital EIA.https://video.osgeo.org/videos/embed/2d612579-c57d-4941-9da3-8bf7fc83bbd2https://video.osgeo.org/w/ndUtTSwscdJ26ytpNmBqwAhttps://video.osgeo.org/lazy-static/thumbnails/9178683e-8161-4501-b905-5b3458207958.jpg2023 | Development of maplibre applications in sveltekit - Jin IgarashiFOSS4G 2023 Prizren Recently, sveltekit is becoming a more popular framework for developing web application. It has been released as v1.0.0 last December. However, there are still not many use cases of developing maplibre applications in sveltekit compared to other frameworks like react. The author is involved in developing maplibre application with sveltekit in United Nations Development Programme (geohub), and also developing sveltekit based Web-GIS applications for water asset management at Eastern African countries (watergis). Hence, several useful maplibre boilerplate and components were developed in sveltekit during those projects' work. watergis/sveltekit-maplibre-boilerplate is a template which can start developing maplibre application in sveltekit with minimuum source code. Furthermore, watergis/svelte-maplibre-components consists of various useful maplibre components to add more functionality easily to your web application (all components are documented here). For instance, this component library provides you features of exporting maps, adding legends, styling maps, sharing maps, measuring distance and integrating with Valhalla api, etc. In this talk, these maplibre boilerplate and components will be briefly introduced.https://video.osgeo.org/videos/embed/abdd2dfb-fb25-41ba-bb71-da51c998df06https://video.osgeo.org/w/6BRyrQE7c2cWBDU7RyYJaZhttps://video.osgeo.org/lazy-static/thumbnails/1e02d9e5-cf4f-4aa3-8034-ec8a54b57268.jpg2023 | OpenDataCube Fast Deploy using Docker (Fast Cubing) -J. R. Cedeno JimenezFOSS4G 2023 Prizren Geospatial information from satellites is increasingly being used by decision-makers and scientists alike. However, there are two fundamental issues with this kind of data and related handling technologies. Firstly, data processing typically requires long time and a-priori expert knowledge compared to traditional data sources. Second, integrating satellite data into processing pipelines can be expensive in terms of software and application development efforts. The OpenDataCube (ODC) was created to help users solve these issues. Although ODC offers an alternative to being used as a data management application, its deployment is typically challenging for inexperienced users. Therefore, the primary purpose of this work is to provide potential ODC users with a ready-to-use, portable instance of this software. The software is produced and published in a Docker container. In comparison to the traditional installation and configuration of the ODC, the tool proposed here provides an environment where the ODC database is already set up. It helps to avoid occasional conflicts that are common in SQL and Python installations. Even though other ODC implementations are available as a Docker container, the proposed solution has some advantages. Specifically, Python geospatial libraries are integrated in the container to support data manipulation. While available ODC instances are designed to process satellite images only (mainly Sentinel and Landsat data), the tool contains scripts to automatically adapt and ingest non-satellite data (e.g. raw ground-sensor network data, land cover/soil maps, etc.) by creating also metadata files when they are missing. The proposed solution makes available processing pipelines to re-grid, georeference and import datasets into the ODC. Both scripts and pipelines can be used through Jupyter notebook interfaces, which allow users also to perform exploratory analyses on the ingested data. The source code is available at (htt...https://video.osgeo.org/videos/embed/2d7f446e-fce8-401c-97cb-580ce8e4030bhttps://video.osgeo.org/w/wrtfcr8XZbs9HTjicoeyjjhttps://video.osgeo.org/lazy-static/thumbnails/8e400d62-ae79-4f1d-9439-5d9446a0317e.jpg2023 | Elephant in the room - Dennis BauszusFOSS4G 2023 Prizren There are no Free (as in Beer) and Open Source Cloud Datastores. Let's have an opinionated look at some of the better alternatives to store and modify, private and public data for spatial applications. Having build FOSS cloud interfaces 4 Geo since forever the presenter decided to look at the current state of data stores. We have pretty much figured out how to do serverless in the cloud. Data at rest though is a completely different beast. The going gets tough the closer you work to the metal. There is an overwhelming multitude of formats, models and standards to chose from. Should we consider relational, document, and/or [column orientated] data files? With too many to discuss we put the spotlight on some exciting new players such as bit.io and geoparquet. A recent Panorama (BBC) report asked; Is the cloud damaging the planet? Is it? Is there anything we can do? We want to share some best practices in regards to building data store interfaces as well as running these services at scale, and in production.https://video.osgeo.org/videos/embed/f6808b53-5c1b-4d27-98f8-fe7348775e2ehttps://video.osgeo.org/w/t3hfnkkX37UUqLYMDdwEh6https://video.osgeo.org/lazy-static/thumbnails/9daa4928-f19a-49cd-a59d-e94c4da38a4c.jpg2023 | Algorithm Talk: How to Re-project a Raster at Warp Speed - Daniel J DufourFOSS4G 2023 Prizren We will discuss the algorithms inside geowarp, a high-performance and very low-level JavaScript library for reprojection, resampling and cropping of data from GeoTIFFs and other rasters. This talk will be at the abstract algorithmic level and is suitable for everyone. Here are some of the various algorithms that will discussed: - proj-turbo: fit an unknown reprojection function to a simple affine transformation - fast-min/fast-max: calculating the range of your raster data leveraging the theoretical limits of the data types - near-vectorize: automatically determining the optimal resampling algorithm based on relative pixel size - dufour-peyton-intersection: calculate the pixels of an arbitrary raster inside an arbitrary polygon - various resampling techniques including nearest, bilinear, vectorization, and box-based statistical methodshttps://video.osgeo.org/videos/embed/daf83e8f-43f3-43d0-a111-e5e3152e95cdhttps://video.osgeo.org/w/99aeqWXzx3xGa9G4hkXuH4https://video.osgeo.org/lazy-static/thumbnails/7b940433-6ad0-43fb-a32c-34307c70687c.jpg2023 | Measuring Water Level Changes in Reservoir using Jason-3 Altimetry Mission - Aman BagrechaFOSS4G 2023 Prizren This talk will describe the usage of Jason-3 Altimeter data, which records the topographic height of the surface of the earth every ~10 days, to help measure the changes in water level of reservoirs across the globe. The use of NASA Common Metadata Repository (CMR) API to download and subset is described along with navigating the maze of various Jason-3 Level-2 Products depending on the use-case. This talk introduces to this open dataset and various other altimetry missions, to allow for multi-mission monitoring of reservoirs of the world. It further uses Free and Open Source Software (CMR Specification, Xarray) to pre-process the data for use.https://video.osgeo.org/videos/embed/41ecbfa3-68e8-4b6a-9dd6-270342e98ac5https://video.osgeo.org/w/a7a4m6VWEYjp73sgy2pv6phttps://video.osgeo.org/lazy-static/thumbnails/4e963e92-cb9d-44f6-aebb-753367ef8ba0.jpg2023 | Using Nix to build development environments as you always wanted - Ivan MinčíkFOSS4G 2023 Prizren This talk is going to reveal the secret of building and running development or user environments as you always wanted. Each of your projects can run in isolated, fully self contained environment, using the latest, or really old, or heavily customized geospatial packages regardless of Linux distro or Mac version you use. You can have as many environments as you want, and the environment will change as you change between your projects, branches or commits.https://video.osgeo.org/videos/embed/49be4ae5-96e6-4628-8277-f0c1329fd1b5https://video.osgeo.org/w/9Xcmh4rwfdXqnmzjrMK4SNhttps://video.osgeo.org/lazy-static/thumbnails/9e42b053-8937-4e85-9545-4421e8f82ed3.jpg2023 | Packaging Geospatial Software for Debian and Ubuntu Linux - Felix DelattreFOSS4G 2023 Prizren This presentation will delve into the intricacies of packaging geospatial software for Debian Linux and its derivatives, including Ubuntu, OSGeoLive, and others. It will begin by contrasting the differences between packaging for an operating system and application-level package managers. The presentation will then provide an introduction to the Debian GIS Team and their established practices for packaging, including resources for finding information. The focus will then shift to the crucial steps involved in preparing the software for distribution, such as creating metadata and dependencies, building the package, testing its functionality, and ultimately making it available to end-users for easy installation and use.https://video.osgeo.org/videos/embed/487e02d5-8127-42c6-88a7-747ce27b9916https://video.osgeo.org/w/6pZFhMKprggzHa3VELJLrohttps://video.osgeo.org/lazy-static/thumbnails/18d8068e-c6d8-4938-aec7-ab42a87bfdac.jpg2023 | Quality Assurance in open source: insights from GeoTools, GeoWebCache & GeoServer-Andrea AimeFOSS4G 2023 Prizren Working in large open source projects, with several people contributing to the code, can be challenging, especially trying to keep everyone on the same page, and generating code that has enough similarities to allow shared maintenance. The advent of platforms like GitHub also made it easier for one time contributors to donate small and large bits of code to the platform, generating in the process a fair amout of “review stress” in the project maintainers. The presentation covers how pull request checks, formatting and static analysis tools have been used to streamline basic checks in the code: - Testing the code on a variety of operating systems, Java versions and integrations with data sources before the code can be contributed to the project - Enforcing common formatting - Adding basic checks with CheckStyle - Locating obvious errors, leftover code, basic optimization issues using the Java compiler linting, ErrorProne, PMD and SpotBugs - Improving readability of the code as well as enforcing best practices and common approaches with the same tools. - Effects on the dynamics of code reviews The presentation will cover all those aspects, with examples from the author’s experience with the GeoTools, GeoWebCache and GeoServer projects.https://video.osgeo.org/videos/embed/2bd75850-2d58-4764-aa70-63b76f57c640https://video.osgeo.org/w/9MpjJunVFNV6qSmcaLnQDAhttps://video.osgeo.org/lazy-static/thumbnails/13b89fd7-244b-4cac-aed0-13e4951d4fee.jpg2023 | How I discovered, tested and fixed a bug in GeoDjango - Stefan BrandFOSS4G 2023 Prizren Here comes a developer story about contributing to GeoDjango. An unfortunate combination of a valid, but unconventional spatial reference on the one hand, and "smart" logic for a mixed-geometry dataset: Geometries supposed to be located in Austria ended up in the Near East. Investigation showed that GeoDjango's behaviour for returning the SRID of the dataset was not according to its documentation (see Django ticket #34302). While fixing the issue, additionally, an incorrect type cast from None to string was discovered. In this talk you will also learn: 1. How to set up the GeoDjango test suite with a PostGIS docker container 2. How the Django code review process looks likehttps://video.osgeo.org/videos/embed/471ff3c4-f6fb-4f22-889a-476e6d20faachttps://video.osgeo.org/w/emcH29BagbqDstf2w6LrPVhttps://video.osgeo.org/lazy-static/thumbnails/655edd51-1d41-43a4-aef2-26ee0a241276.jpg2023 | Visualization of accidental chemical release simulation - Kim JinhoFOSS4G 2023 Prizren Chemical incidents, such as accidents at heavy chemical plants or large-scale toxic gas leaks, are difficult to assess accurately because of the large spatial extent of the damage and the rapidly changing scope/level/target of the damage over time. These characteristics also make it hard to conduct experiments to recreate or simulate large-scale chemical incidents in real world. In the case of large-scale chemical accidents or release, post-incident damage assessment is as important as prevention, but spatial ambiguity makes it difficult to assess the extent of damage to victims, and there is little way to identify fake victims from real ones. In this 5 year-long study, we aim to combine the results of a chemical diffusion model and the location data of mobile service subscribers on the incident spot over time. For this, FOSS4G based 3D geospatial web service using GeoServer, Postgresql/PostGIS, Cesium, etc. will be developed to assess the level of chemical exposure of each victim and calculate the level of damage based on it. In 2022, the first year of the study, we developed a prototype that combines the time-dependent output of the chemical diffusion model with the time-dependent location data of individuals and successfully visualized it in a Web 3D globe. In the coming year, we'll further develop this system into an integrated risk assessment platform for chemical accidents by combining chemical exposure assessment model and damage calculation model.https://video.osgeo.org/videos/embed/6c18e48f-f46e-48d1-b5b0-51088d06088fhttps://video.osgeo.org/w/bBvKi7gUz72JvKjHM2gGu2https://video.osgeo.org/lazy-static/thumbnails/d7fe1824-0403-4d0f-8b29-e00d10c86bab.jpg2023 | QGIS Data Versioning with Kart - Robert CoupFOSS4G 2023 Prizren Maybe you've heard of Kart, the great new geodata versioning tool from the team at Koordinates? But did you know that Kart also has a QGIS plugin so you can do real data versioning without needing to leave QGIS? In just 5 minutes, this talk demonstrate how to import data into a new Kart repository, make and review some changes, merge a branch, and push everything to a remote server. All from QGIS!https://video.osgeo.org/videos/embed/55f0c01e-2a13-4d88-a793-7e47c20160c1https://video.osgeo.org/w/bLdj9prhk353Jz3FysY2Edhttps://video.osgeo.org/lazy-static/thumbnails/e4e98694-cd92-42ca-af58-2c7e6e2c8d2a.jpg2023 | Synchronising data updates with Kart version control - Robert CoupFOSS4G 2023 Prizren Do you get regular data-drops from suppliers, and struggle with viewing changes between releases and keeping everything synchronised? In this talk it will be explained how from both a consumer and a publisher point of view you can use Kart to make your life easier. — We’re drowning in data, but the geospatial world lags badly behind in versioning tools compared to our software counterparts. Kart (https://kartproject.org) is solving this with a practical open tool for versioning datasets, enabling you to work more efficiently and collaborate better. Kart allows you to quickly and easily manage history, branches, data schemas, and synchronisation for large & small datasets between different working copy formats, operating systems, and software ecosystems. Modern version control unlocks efficient collaboration, both within teams and across organisations meaning everyone stays on the same page, you can review and trace changes easily: ultimately using your time more efficiently.https://video.osgeo.org/videos/embed/5727b356-86a3-42f6-93fc-b29de37d6bechttps://video.osgeo.org/w/8pcqLkavo32aBvg1cM5ypqhttps://video.osgeo.org/lazy-static/thumbnails/2f2c5a12-f984-44a5-ae61-2e28609b2a31.jpg2023 | An Analysis of Capital Bikeshare Trips in Washington D.C. with Open-Source Geospatial ToolsFOSS4G 2023 Prizren Presenter: Max Lindsay In this presentation, a unique approach to analyzing Capital Bikeshare trips in Washington D.C. using Open-Source Geospatial (FOSS4G) tools and technologies is show cased. This project involved loading trip data into a PostGIS database, utilizing the Valhalla routing engine and OpenStreetMap data to find the optimal routes between each pair of stations, and then constructing a topogeometry table to represent these routes. Using this topogeometry table, we are able to estimate the number of Capital Bikeshare trips that occur on each road in Washington D.C. The use of FOSS4G tools and technologies allowed us to perform this analysis in a cost-effective and efficient manner, while also providing high-quality results. The results of this analysis have important implications for urban planning and mobility research, as they can be used to understand the patterns and impacts of bike-share usage in cities. This presentation will provide an overview of the methodology used in our project, as well as a discussion of the results and their implications. Experiences using FOSS4G tools and technologies and provide insights on how these tools can be used in similar projects will be shared. This presentation is of interest to geospatial professionals, urban planners, and anyone interested in using FOSS4G tools for data analysis and mobility research.https://video.osgeo.org/videos/embed/3bed1e94-574d-4e29-9d1c-afe11b82c09ehttps://video.osgeo.org/w/dLTjQT2gZByNVTD3jsEbNShttps://video.osgeo.org/lazy-static/thumbnails/f8bad8ef-4b0c-4c59-a705-20bbce66d15c.jpg2023 | A QGIS plugin for local weather sensor data - Emanuele CapizziFOSS4G 2023 Prizren Ground-based weather sensor networks are essential in monitoring local weather patterns and climate. Integration of such data into GIS environments is critical to supporting manifold applications including urban planning, public health studies, and weather forecasting. These networks use scattered geolocalized sensors to measure multiple atmospheric variables (e.g. air temperature, wind speed, precipitations). Often, data is distributed online by network managers which can be either local/national authorities, private companies, or volunteers. Due to the diversity of data providers, both formats and access patterns of meteorological sensor data are heterogeneous and the preprocessing tasks (e.g. temporal aggregations, spatial filtering) are generally time-consuming. Given the above and to increase end-users exploitation of such sensor data, we present the development of an experimental QGIS plugin facilitating access and preprocessing of openly available data from ground-based sensor networks and enabling their direct use in QGIS. The plugin is designed to implement REST APIs connections and HTTP requests to download data. A user interface allows for selecting time intervals and types of observation to be downloaded. Once data is retrieved, the plugin provides options for filtering, outliers removal, time aggregation with summary statistics as well as observation mapping into a standard GIS layer. These functionalities are only partially available in similar existing QGIS plugins. The plugin leverages FOSS Python libraries for data handling including Pandas. The Dask parallel computing library is also exploited to speed up I/O operations on raw data. The current version of the plugin is developed to retrieve and process weather sensor data provided by the Environmental Protection Agency of Lombardy Region (ARPA Lombardia), Northern Italy. The data retrieval is based on the Sodapy Python library, a Python client for the Socrata Open Data A...https://video.osgeo.org/videos/embed/67720516-b8b8-41cd-9972-26998a14d6d6https://video.osgeo.org/w/vx5msSZzrZnRoUVkLH1RANhttps://video.osgeo.org/lazy-static/thumbnails/315d3383-b974-4cfe-89b8-ae928e5190bc.jpg2023 | BikeDNA: A tool for Bicycle Infrastructure Data & Network Assessment - Anastassia VybornovaFOSS4G 2023 Prizren Access to high-quality data on existing bicycle infrastructure is a requirement for evidence-based bicycle network planning, which can support a green transition of human mobility. However, this requirement is rarely met: Data from governmental agencies or crowdsourced projects like OpenStreetMap often suffer from unknown, heterogeneous, or low quality. Currently available tools for road network data quality assessment often fail to account for network topology, spatial heterogeneity, and bicycle-specific data characteristics. To fill these gaps, BikeDNA, an open-source tool for reproducible quality assessment tailored to bicycle infrastructure data will be introduced. BikeDNA performs either a standalone analysis of one data set or a comparative analysis between OpenStreetMap and a reference data set, including feature matching. Data quality metrics are considered both globally for the entire study area and locally on grid cell, thus exposing spatial variation in data quality with a focus on network structure and connectivity. Interactive maps and HTML/PDF reports are generated to facilitate the visual exploration and communication of results. BikeDNA is based on open-source python libraries and Jupyter notebooks, requires minimal programming knowledge, and supports data quality assessments for a wide range of applications - from urban planning to OpenStreetMap data improvement or transportation network research. In this talk will introduce how to use BikeDNA to evaluate and improve local data sets on bicycle infrastructure, examine what BikeDNA can teach us on the current state of data for active mobility, and discuss the importance of local quality assessments to support increased uptake of open and crowd-sourced data.https://video.osgeo.org/videos/embed/ef2fc2b2-0700-42dd-a900-f07843b56a16https://video.osgeo.org/w/nYYMCgps4JQjfRygBcRjNthttps://video.osgeo.org/lazy-static/thumbnails/19042488-f2f5-45bc-83d0-23546a5e139d.jpg2023 | TiPg: a Simple and Fast OGC Features and Tiles API for PostGIS - Vincent SaragoFOSS4G 2023 Prizren Following the work we did with TiTiler (a python module which is designed to create Raster services), we decided to develop the same kind of project but for Vector. Using Postgres/PostGIS as datasource and FastAPI/Pydantic for the web framework, TiPG is a lightweight application which user can include into their own FastAPI application and easily customized. The design principle of the TiPg python module and also show some of its great features will be presented in this talk.https://video.osgeo.org/videos/embed/b2048f1a-1416-410b-86d3-687d62e93007https://video.osgeo.org/w/k8mw2tWUxaRt7P9jaDL98yhttps://video.osgeo.org/lazy-static/thumbnails/3ec01af9-da30-4186-bd50-a756f8109ac2.jpg2023 | Faster, easier, more powerful map tile creation with Tippecanoe 2.0 - Erica FischerFOSS4G 2023 Prizren Development of Tippecanoe, a widely-used open-source C++ tool for creating vector map tilesets, has moved to Felt, where it is a key component of the zero-configuration data ingestion pipeline that processes Felt’s public data library layers as well as uploads from external users. Version 2 of Tippecanoe improves its automatic choice of zoom levels, and makes visual improvements to coordinate rounding, small polygons, and the distribution of points in low zoom levels. It now runs faster and uses less memory and disk space. There are new options to generate label points for polygons, to order features by attributes, and to use Visvalingam line simplification. Tippecanoe now accepts FlatGeobuf input as well as GeoJSON and CSV, and can generate output in PMTiles as well as MBTiles.https://video.osgeo.org/videos/embed/9ae47c43-3555-4dbd-ae0e-6b2e0de7a326https://video.osgeo.org/w/352x4W7tw6cy98LuRrY9ukhttps://video.osgeo.org/lazy-static/thumbnails/f6cc7f92-3e43-4d7d-8343-f553c77fabe2.jpg2023 | Mapillary: The path to 2 billion images - Christopher Beddow & Edoardo NeerhutFOSS4G 2023 Prizren Mapillary is an open platform for street-level imagery and map data that began in 2013. Since then around 1.8 billion images have been contributed from around the world. Imagery has been contributed from horseback in Kyrgyzstan, boats in the canals of Amsterdam, and bicycles on the streets and trails of Sydney. As Mapillary approaches 2 billion images, we’d like to summarize the latest features, acknowledge some of the amazing contributions, and hint at some of the updates that are coming. Some of the things that we have been working on include: Desktop Uploader improvements including support for videos and popular cameras. Improvements to Mapillary Tools, command line scripts for working with and uploading geotagged imagery and video. Mobile app updates including multi-tasking, redesigns, multi-language support, and upload improvements. Camera Grant programs in the US and Europe, providing 360º cameras for people interested to map pedestrian infrastructure. Integrations with Rapid Editor, an AI powered OpenStreetMap editor which we will demo in more detail at a workshop. Updated Help Pages to make capturing, uploading, and using street-level imagery far easier. After walking through the latest Mapillary improvements, we will take a look at case studies of organizations contributing and using imagery. We’ll zoom in on an NGO, a government agency, and a commercial entity, each of which are using Mapillary in different ways. We’ll finish our talk with an exploration of upcoming Mapillary features and projects.https://video.osgeo.org/videos/embed/10c232e3-2f92-42f8-acbe-d653ea140e7bhttps://video.osgeo.org/w/p2FmTRtGXFEHfTQivzGeoBhttps://video.osgeo.org/lazy-static/thumbnails/04cd7afd-b7c4-4ac3-92f1-f498ca8880dd.jpg2023 | Dynamic Tiling: From Cloud Optimized Raster to Map tiles - Vincent SaragoFOSS4G 2023 Prizren Over the recent years, Cloud Optimized Raster format have gain popularity not only because they ease access but also because the enable fast visualisation of the data. During this talk the presenter go over the principles of dynamic tiling and talk about the different cloud optimized raster format. The latest news about TiTiler will be presented.https://video.osgeo.org/videos/embed/ba7e3087-0a4b-424b-9d3d-439eeabeeda3https://video.osgeo.org/w/eV1vu6urYc7DP6LiJNhSfJhttps://video.osgeo.org/lazy-static/thumbnails/a7c2bd64-5ae5-4726-88a4-029ea5c85ea0.jpg2023 | MapStore, a year in review - Stefano BovioFOSS4G 2023 Prizren MapStore is an open source product developed for creating, saving and sharing in a simple and intuitive way maps, dashboards, charts and geostories directly online in your browser. MapStore is cross-browser and mobile ready, it allows users to: - Search and load geospatial content served using widely used protocols (WMS, WFS, WMTS, TMS, CSW) and formats (GML, Shapefile, GeoJSON, KML/KMZ etc..) - Manage maps (create, modify, share, delete, search), charts, dashboard and stories directly online - Manage users, groups and their permissions over the various resources MapStore can manage - Edit data online via WFS-T with advanced filtering capabilities - Deeply customize the look&feel to follow strict corporate guidelines - Manage different application contexts through an advanced wizard to have customized WebGIS MapStore viewers for different use cases (custom plugins set, map and theme) You can use MapStore as a product to deploy simple geoportals by using the standard functionalities it provides but you can also use MapStore as a framework to develop sophisticated WebGIS portals by reusing and extending its core building blocks. MapStore is built on top of React and Redux and its core does not explicitly depend on any mapping engine but it can support both OpenLayers, Leaflet and Cesium; additional mapping engines could be also supported (for example MapLibre GL) to avoid any tight dependency on a single engine. This presentation will give the audience an extensive overview of the MapStore functionalities for the creation of mapping portals, covering both previous work as well work for the future releases. Eventually, a range of MapStore case studies will be presented to demonstrate what our clients (like City of Genova, City of Florence, Halliburton, Austrocontrol and more) and partners are achieving with it.https://video.osgeo.org/videos/embed/70ad8921-d777-4880-97a8-f5408baf133ehttps://video.osgeo.org/w/dpQCdNWCLTWojqMy1Q2uQEhttps://video.osgeo.org/lazy-static/thumbnails/d35532b8-8d40-4d2f-a164-c384c8e3c569.jpg2023 | Serverless Planet-scale Geospatial with Protomaps and PMTiles - Brandon LiuFOSS4G 2023 Prizren Protomaps is a simple, self-hostable system for tiled vector datasets. In the year since last FOSS4G, we've rolled out a new compressed specification (V3), added support for tile generation tools, and open sourced key integrations with content delivery networks. This talk will give an overview of: - Why you might want to, or not want to, deploy Protomaps for your application - PMTiles write support in the popular Tippecanoe and Planetiler tools - The new open source integrations of Protomaps with AWS Lambda and Cloudflare - Overview of real-world deployments for users in web GIS, journalism and the public sectorhttps://video.osgeo.org/videos/embed/6481bc8d-f55e-4590-85a3-210ce2e38c9ehttps://video.osgeo.org/w/kkwUgaqY2wpVFCyvpWjRYAhttps://video.osgeo.org/lazy-static/thumbnails/7bbc98d9-526d-4fed-a5bb-7ca4804f7689.jpg2023 | GeoMapFish Project Status - Yves BologniniFOSS4G 2023 Prizren GeoMapFish is an open source WebGIS platform developed in close collaboration with a large user group. It targets a variety of uses in public administrations and private groups, including data publication, geomarketing and facility management. OpenLayers and an OGC architecture allow the use of different cartographic engines: MapServer, QGIS Server, GeoServer. Recently new features have been added such as vector tiles integration, from raw data to visualization. In order to get rid of the AngularJS dependency, a roadmap has been established for a migration to a web components architecture. K8S support is evolving with the implementation of the necessary tools for Azure environments. A highly integrated platform, a large number of features, fine grained security and a mature reporting engine are characteristics of the GeoMapFish solution. In this talk, the key usages, the state of the migration process to web components and latest functional developments, including backend - frontend decoupling allowing to plug in multiple front-end WebGIS clients will be presented.https://video.osgeo.org/videos/embed/9c97cf43-858a-40ae-a675-ec9ce8ef6586https://video.osgeo.org/w/tmVyXwKPGfsmxWNetkkk7mhttps://video.osgeo.org/lazy-static/thumbnails/7243dbb6-6500-4a67-bfa5-73a4c9831d38.jpg2023 | Valhalla Routing Engine - Nils NoldeFOSS4G 2023 Prizren Valhalla proved, since its inception in 2015, to be a valuable part of the OSM software universe, occupying an important niche in the routing section. It's arguably one of the most feature-rich open-source routing engines, serving many different use cases and integrations/deployments. However it's a fairly complex system which is hard to comprehensibly document and new users or developers are often overwhelmed. So, I'd like to introduce its general architecture, capabilities and showcase "new" features (the last talk was given in 2016 on FOSS4G NA), as well as the accompanying open-source software, like various libraries, clients and docker image(s).https://video.osgeo.org/videos/embed/dd92a1be-a4ac-4666-8431-f22fcbe85c64https://video.osgeo.org/w/hH8J89yBR6L9KMnvcv4uSshttps://video.osgeo.org/lazy-static/thumbnails/6c79d2af-b7c6-4fe9-8a7d-3e83e39dcaae.jpg2023 | Get most out of STAC Browser - Matthias MohrFOSS4G 2023 Prizren STAC Browser is a full-fledged web interface for browsing and searching static STAC catalogs and STAC APIs. It has been rewritten from scratch with a lot of new functionality. This talk will introduce STAC Browser, showcase new functionality and uncover some unexpected gems such as the broad range of customization possibilities. Lastly, the presentation will guide you through a set of best practices for your static STAC catalog or STAC API so that you get the most out of STAC Browser with regards to functionality and user experience.https://video.osgeo.org/videos/embed/8750797f-ef22-42fd-91d1-d5633af41f46https://video.osgeo.org/w/rHjWR8ptCjxKdjFwWNL31shttps://video.osgeo.org/lazy-static/thumbnails/937d638c-1a85-4c11-9cfd-0b3138bf3666.jpg2023 | An overview of Cloud-Native Geospatial - Matthew HansonFOSS4G 2023 Prizren “Cloud-Native Geospatial” is a new paradigm for performing efficient data access and compute the cloud in an interoperable way in order to achieve scalable and repeatable analysis of geospatial data. The last few years have seen major developments in open standards and open software that make this possible, supporting full end to end interoperable workflows on remote sensing data, starting from data discovery to publishing of derived products. This talk will provide an overview of what Cloud-Native geospatial is and why it is important for building scalable architectures. It will cover the current state of the Spatio Temporal Asset Catalog (STAC) specifications, and the landscape of cloud-optimized file formats, for raster, vector, and point-cloud data formats (COG, GeoZarr, GeoParquet, COPC).https://video.osgeo.org/videos/embed/d039a301-0401-491c-8391-741866a644e2https://video.osgeo.org/w/aa4wBZkCruR3JJ1vubwRb6https://video.osgeo.org/lazy-static/thumbnails/a25aa410-e562-4fe6-bde5-4d14bf72d020.jpg2023 | State of GeoRasterLayer (for Leaflet) - Daniel J DufourFOSS4G 2023 Prizren In this talk it will be discussed the state of GeoRasterLayer, a JavaScript library that renders GeoTIFFs directly on a LeafletJS map without a server. This will include an introduction of new features, including the following: - shifting warping off the main thread to a pool of web workers - improved support for extent calculations by increasing vertex density of polygon representations of bounding boxes - high-resolution support by using geowarp We will also look to the future and discuss the following: - support for raster types other than GeoTIFF/COG - geozarr support - similar integrations into other web mapping librarieshttps://video.osgeo.org/videos/embed/4a261db4-ca48-4312-9293-e7fcb7e50a3dhttps://video.osgeo.org/w/3bVRQEfwQAgKoqX1uiwGYJhttps://video.osgeo.org/lazy-static/thumbnails/9d82a39a-43b5-48fc-a076-7322ce5ce9b8.jpg2023 | Standardized Data Management with STAC -Batuhan Kavlak & Sam EglingtonFOSS4G 2023 Prizren STAC is a well-known and acknowledged spatiotemporal metadata standard within the community. There are many applications with open-source data; however, there are few adoptions by premium satellite imagery providers. At UP42, we adopted STAC as the core metadata system within our applications and provided STAC API for users to manage their data easily. The ongoing adoption challenges with multiple data providers taught many takeaways that we would like to share with the community. - UP42: a short introduction - Data management challenges at UP42 - Solution with STAC & cloud-native asset format - STAC implementation: lessons learned - Current state and way forwardhttps://video.osgeo.org/videos/embed/11b8e830-615b-443b-9ae8-58663571803ahttps://video.osgeo.org/w/8REPGMqnXicmDfaGngqTGdhttps://video.osgeo.org/lazy-static/thumbnails/9a34975a-f39b-4717-8d01-2753643abe06.jpg2023 | Earth-Search: A STAC API of Open datasets on AWS - Matthew HansonFOSS4G 2023 Prizren Earth-Search is a publicly available SpatioTemporal Asset Catalog (STAC) API providing an index for some of the public datasets available through the AWS Registry of Open Data (RODA) and has been shown to be a valuable resource for accessing the Sentinel-2 archive as Cloud-Optimized GeoTIFFs. A new version of Earth-Search is an update and enhancement of the Sentinel-2 metadata as well as new Collections of data available on AWS, including Landsat Collection 2, NAIP, and Sentinel-1. This talk will include a summary of the STAC catalog, what STAC extensions are used and how the data is best accessed based on file formats. We will also dive into the datasets that are available through the API and will present the architecture for indexing including a discussion of data latency. We will provide resources and tutorials for how to get started with public geospatial datasets on AWS.https://video.osgeo.org/videos/embed/3f9f572e-066c-4215-b2a9-bbb677f34598https://video.osgeo.org/w/fYPHg49bckLh7zzmTovtM6https://video.osgeo.org/lazy-static/thumbnails/a07cab09-2837-4f56-858d-6bbd174fa22e.jpg2023 | The STAC JavaScript Ecosystem + CNG Excursion - Matthias MohrFOSS4G 2023 Prizren The SpatioTemporal Asset Catalog (STAC) (and Cloud Native Geospatial ecosystem) for/in JavaScript has evolved in the last year. This talk will update you on the current state of the ecosystem and gives an outlook on what is missing. For STAC talk will cover libraries such as stac-js, stac-layer, stac-browser, stac-node-validator, and more. We'll dive into what the libraries do, how they relate to each other and give you some hints how you get started. At the end, a short excursion into the cloud-native geospatial ecosystem in JavaScript for COG, geoparquet, geozarr and other file formats will be provided as well.https://video.osgeo.org/videos/embed/794efedb-88a0-4c96-8ba3-b8ab4575964bhttps://video.osgeo.org/w/j2e4i3Aax2NkJAB8Y8FnXRhttps://video.osgeo.org/lazy-static/thumbnails/2bbee324-0bb4-46fa-8885-78a93e306054.jpg2023 | Geo enabling your APIs with the location building blocks - Rob AtkinsonFOSS4G 2023 Prizren The need to integrate geospatial data into products and services has resulted in a proliferation of Free and Open Source web APIs which often do not adopt any standards, thus requiring more development time and a lack of interoperability between solutions. For instance a bounding box has been written in multiple ways, depending on whether developers use the coordinates of the four corners, only upper left and lower right, latitude or longitude first, or some other variation. The good news is that the Open Geospatial Consortium, a neutral, consensus-based organization, has been developing open standards for geospatial information. These standards are developed as building blocks, which means they could be easily incorporated into existing applications in order to enable a piece of geospatial functionality. The location building blocks are freely available to anyone to download and use. In this presentation the conceptual model for the existing building blocks, which uses semantic annotations to define the different components will be described. We also describe a practical example of how a building block could be integrated into an application and provide some resources for developers who want to build applications with the location building blocks.https://video.osgeo.org/videos/embed/91f04943-4bc8-44e8-9831-cf1041468063https://video.osgeo.org/w/cN8cSwQX7CvMH4XtAcVeQFhttps://video.osgeo.org/lazy-static/thumbnails/0013dafc-f42b-4c01-9747-2f3950edc825.jpg2023 | Standardizing Satellite Tasking for Consumers - Matthew HansonFOSS4G 2023 Prizren One decade ago, we saw the launch of the first earth observation cubesats by Planet Labs. In the years since we have seen hundreds of satellites launched, and dozens of startup companies launching taskable satellites. While this has led to incredible opportunities to leverage multiple sensors and sensor modalities, the massive increase of data has also created challenges in data management, discovery, and usage. The community driven SpatioTemporal Asset Catalog (STAC) specification was an important step forward in exposing data to users in a standard way that enables cloud-native workflows and has been successful across government and industry. The process of actually tasking satellites, however, is still very much non-standard; each data provider exposes a unique API, if at all. Some data aggregators have created a single tasking API that proxies and translates to multiple data provider APIs, but this is still non-standard, and proprietary. Element 84 has been leading an effort to create a community standard API around how users order future data and how providers respond to those requests. Working with government groups, commercial satellite operators, and data integrators, we have hosted working sprints to develop a specification and open-source tooling demonstrating the power of a tasking API specification. This talk will cover the current status of the community tasking API specification, future plans, and a demonstration of how to use the API to order data.https://video.osgeo.org/videos/embed/5f852dc0-9031-41ec-ab3a-f87d360e4253https://video.osgeo.org/w/iohqKeW7Fc45o8Mzev1N7thttps://video.osgeo.org/lazy-static/thumbnails/99201dc8-4b9a-4728-b1ff-7f7754c3f729.jpg2023 | How to secure pygeoapi and streamline protected OGC APIs - Francesco BartoliFOSS4G 2023 Prizren Securing a modern API in an effective way is critical to prevent unauthorized access and ensure the privacy and integrity of data. In general, there are three common mechanisms that can be used for API security: API keys, OAuth2/OpenID Connect, and JSON Web Tokens (JWT). Each of these mechanisms provides a different level of security and flexibility, depending on the requirements of the API. Modern OGC APIs are agnostic and rely completely on the adoption of OpenAPI security schemes so the implementers can use the mechanism that perfectly fits with their requirements. fastgeoapi is a new open-source tool designed to be an authentication and authorization layer on top of a vanilla pygeoapi that offers out-of-the-box a secured infrastructure easily pluggable and configurable through the a standard OpenID Connect protocol. This talk aims to describe the recipe to configure and protect a vanilla pygeoapi with Keycloak and Open Policy Agent in order to publish secured OGC APIs in a standard manner.https://video.osgeo.org/videos/embed/8cc7d7eb-ba28-4812-bc36-cd9a559e139fhttps://video.osgeo.org/w/uWqpvhuAhd6WUBVDkA6U2uhttps://video.osgeo.org/lazy-static/thumbnails/5e57a01a-bc44-4ca3-a01d-ab06d2e88742.jpg2023 | Demystifing OGC APIs with GeoServer: introduction and status of implementation - Andrea AimeFOSS4G 2023 Prizren The OGC APIs are a fresh take at doing geo-spatial APIs, based on WEB API concepts and modern formats, including: - Small core with basic functionality, extra functionality provided by extensions - OpenAPI/RESTful based - JSON first, while still allowing to provide data in other formats - No mandate to publish schemas for data - Improved support for data tiles (e.g., vector tiles) - Specialized APIs in addition to general ones (e.g., DAPA vs OGC API - Processes) - Full blown services, building blocks, and ease of extensibility This presentation will provide an introduction to various OGC APIs and extensions, such as Features, Styles, Maps and Tiles, STAC and CQL2 filtering. Some have reached a final release, some are in draft: we will discuss their trajectory towards official status, as well as how good the GeoServer implementation is tracking them, and show examples based on the GeoServer HTML representation of the various resources.https://video.osgeo.org/videos/embed/ea591619-f6a5-40f5-b862-dcce73a4c42ehttps://video.osgeo.org/w/6w74hGMEdHkd8LcxqirgQkhttps://video.osgeo.org/lazy-static/thumbnails/eebf2c0c-a0ad-48ac-bb8d-610386d981f6.jpg2023 | Open resources and open standards for multi source marine twinning - Piotr ZaborowskiFOSS4G 2023 Prizren Spatial data interoperability has been on the spot among the Open Geospatial Consortium members for almost 30 years, but the current moment is notable for several reasons. An enormous amount of data is growing exponentially due to the novel sensors that bring observations from previously inaccessible areas in such resolution. We can observe and explore the global ocean with modern computational resources and AI models. Federated Data Spaces initiatives emerge with the paradigm of multi-source data integration harmoniously supporting heterogeneous models. Speakers will present recent advancements in the data mesh methods based on two environments endorsing open source implementations used for the integrations. First is the Federated Marine SDI (FMSDI) Pilot, which focuses on advancing the implementation of open data standards, architecture, and prototypes for use with the creation, management, integration, dissemination, and onward use of marine and terrestrial data services for the Arctic. Use cases developed in the recent phase of the FMSDI pilot further demonstrated the capabilities and use of OGC, IHO and other community standards in response to a grounding event and the evacuation of a cruise ship or research vessel in the Arctic.The approach collated with Iliad - Digital Twin of the Ocean and its interoperability patterns model. Based on the specific requirements for data transfer, access and computation, it looks to generalise core architectural patterns with standard implementations. These patterns address the core issues of data publishing, aggregation and extensive analyses close to the data. Together, they enable a viable overall digital twin ecosystem. Data mesh of observations with data lakes and assembly are essential building blocks that allow the flow and synchronisation of data between different data owners. A open, common information model, defined on the domain-specific and well-known generic ontologies, Analysis Ready Data...https://video.osgeo.org/videos/embed/2cb1bd2c-f804-4fe5-87e4-a603044b7247https://video.osgeo.org/w/rtfnEzXixStv3aMceNYZozhttps://video.osgeo.org/lazy-static/thumbnails/5816a40a-d1e8-44e5-a81e-6bbfcf2c2002.jpg2023 | Geo-Spatial meets Linked Data: open source solutions for semantic spatial data exchangeFOSS4G 2023 Prizren Presenter: Luís M. de Sousa The Ontology discipline made its way into the Computer Science domain in the 1990s, filling a gap in the architecture aspect of a still infant engineering domain. Its most visible impact happened around the industry consortium Object Management Group (OMG), leading first to the Unified Modelling Language (UML) and later to the Model Driven Architecture (MDA). MDA became the base infrastructure of data architectures and exchange mechanisms specified by institutions such as the Open Geo-spatial Consortium (OGC) or the European Commission (through the INPIRE directive). However, a parallel path has been treaded by the World Wide Web Consortium (W3C). First with the specification of the Resource Description Framework (RDF), a new paradigm for data encoding leveraged on the WWW, and later with the Web Ontology Language (OWL), a pragmatic approach to ontology encoding, building on RDF. This infrastructure developed by the W3C became known as the Semantic Web, and also as Linked Data, for the innovative paradigm through which it connects disparate data sources and data domains. The OGC would eventually approach the semantic web, specifying GeoSPARQL in 2013, an ontology and query language for linked geo-spatial data. However, technologies supporting this new standard were slow in materialising. More recently, the specification by the OGC of a new set of data standards based on the OpenAPI technology set out a clear path for the convergence of geo-spatial data with the Semantic Web. New software is emerging, opening an entirely new world to geo-spatial data provision, a clear step forwards in practically, usability and semantics. This address starts by reviewing the core concepts of the Semantic Web and then reviews state-of-the-art software for the management, publication and exploration of linked geo-spatial data. This addressed is targeted at SDI professionals and data scientists wishing to upgrade the semantics ...https://video.osgeo.org/videos/embed/ce426803-23af-42cd-acee-2d7f33b3c321https://video.osgeo.org/w/oLVBGBeJmrgPqok5q11BHKhttps://video.osgeo.org/lazy-static/thumbnails/7de89f35-b49e-49ea-9b9f-711d578e03f7.jpg2023 | Overview of draft OGC Styles & Symbology "SymCore" 2.0 models & encodings - Jerome St LouisFOSS4G 2023 Prizren An overview of the Core Models and Encodings for Styling and Symbology - Part 1: Core ("SymCore") 2.0 draft candidate Standard. In comparison to the current OGC Symbology Conceptual Model: Core Part ("SymCore") version 1.0, the new draft candidate Standard aims to better reflect its classification as an OGC Implementation Standard by including the requirements classes needed to enable the implementation of interoperable encodings, renderers (e.g., OGC API - Maps / OGC API - Tiles) and systems parsing and/or generating style definitions (e.g., OGC API - Styles, visual style editors, style transcoders). It does so by featuring: -A modular logical and conceptual model for styling capabilities, -A minimal Core requirements class including clear extension mechanisms, through the definition of abstract Selectors, Symbolizers, and Expressions, - a basic Vector Styling requirements class, -a basic Coverage Styling requirements class, -requirements classes providing additional styling functionality, - a JSON encoding of the conceptual and logical model facilitating machine readability, -a CSS-inspired encoding of the conceptual and logical model facilating hand-editing. The latest version of the draft is available in HTML (https://opengeospatial.github.io/ogcna-auto-review/18-067r4.html) or PDF (https://opengeospatial.github.io/ogcna-auto-review/18-067r4.pdf). The official GitHub repository is at: https://github.com/opengeospatial/styles-and-symbologyhttps://video.osgeo.org/videos/embed/b86ed171-77b7-4577-9e01-e35bb97ee6e1https://video.osgeo.org/w/3AWnUUPeT5qUmoHoVYxeBohttps://video.osgeo.org/lazy-static/thumbnails/90581daf-ce46-4de1-be1d-a014c81527c2.jpg2023 | SOZip: using directly (geospatial) large compressed files in a ZIP archive! - Even RouaultFOSS4G 2023 Prizren SOZip (Seek-Optimized ZIP) is a new open specification on top of the ZIP archive format to compress one or several files organized and annotated such that a SOZip-aware reader can perform very fast random access (seek) within a compressed file. SOZip makes it possible to access large compressed files directly from a .zip file without prior decompression. It is not a new file format, but a profile of the existing ZIP format, done in a fully backward compatible way. ZIP readers that are non-SOZip aware can read a SOZip-enabled file normally and ignore the extended features that support efficient seek capability. We will present how SOZip works under the hood and discuss about SOZip implementations, in particular in GDAL, which make it possible for its downstream users, in particular QGIS, to read seamlessly and efficiently large compressed files in GeoPackage, FlatGeoBuf, or shapefile formats.https://video.osgeo.org/videos/embed/151313b6-d16a-43e5-b4d9-eb50dca1d950https://video.osgeo.org/w/wB1PobD771SwxK27K5ho6rhttps://video.osgeo.org/lazy-static/thumbnails/7e95fbba-2c81-43ec-aae0-7e81248b1eb4.jpg2023 | Cartographic design for vector tiles: Best practices and open-source recipes for mapsFOSS4G 2023 Prizren Presenter:Petra Duriancikova Vector tiles are changing the way we create maps. Client-side rendering offers endless possibilities to the cartographer and has introduced new map design tools and techniques. Let’s explore an innovative approach to modern cartography based on simplicity and a comprehensive vector tiles schema. Take a tour of vector tiles cartography basics and learn about the latest trends through a number of examples illustrated with the MapTiler maps. Get an overview of best practices and learn about simple open-source recipes, towards advanced combinations of fills, patterns, fonts, and symbols. Selected layer parameters and style expressions will be discussed in a visual way and explained with basic syntax that you can take away.https://video.osgeo.org/videos/embed/f7d5b1f9-0adb-4513-9cf8-ac5b941fa3f3https://video.osgeo.org/w/wbHmG7PxK7vZHG9qo3snhahttps://video.osgeo.org/lazy-static/thumbnails/381c6e11-f281-4644-810a-40ddba8abd28.jpg2023 | "Map it! Cartographic interaction, user-map dialogue mediated by a computing device"FOSS4G 2023 Prizren Presenter: Niene Boeijen These days we have an incredible amount of (open-source) geo-spatial data, remote sensing data and insights, plus the tools to share them with the world! But when building a web map application or dashboard we often end up with too cluttered visualizations, confusing jargon, scary technology or struggle in communicating with the geo-data illiterate. GIS technology can be hard to understand. How do we design and build a map application showing a huge amount of geo-data accompanied by the elaborate functionality to discover it? As GIS experts we think from a technological perspective, adding more and more buttons, layers, panels, pop-ups, legends, draw tools, scale-bars. But these GIS terms makes an application confusing, scary and technically hard to understand for the user.. On the other hand, UX and IX designers think about usability, smooth experiences and helping users to easily navigate, see, use and interpret an application. But they lack the understanding of specific map related design requirements and map related interactivity. Here, the map is taken for granted and is often not well designed.. In this talk will be given some clear useful examples of what is Interactive Cartography and what can we learn from it?https://video.osgeo.org/videos/embed/f47115a2-1415-4f57-823e-ab83593c9d8dhttps://video.osgeo.org/w/t9MaMb6XUd93QkVWo4fQEVhttps://video.osgeo.org/lazy-static/thumbnails/162d9001-31d5-4bda-bfdb-2de98c72a774.jpg2023 | Creating Global Edge-Matched Subnational Boundaries - Maxym MalynowskyFOSS4G 2023 Prizren FieldMaps.io is a personal initiative originally created to develop offline interactive reference maps for humanitarian actors. However, in short time, it transitioned to helping develop common operational datasets that form the foundation for humanitarian response planning. Over the past 2 years, enormous effort has gone into releasing a high-resolution composite dataset able to be updated daily from multiple sources. This talk will cover 3 aspects of the project. Algorithm Edge-matching resolves gaps and overlaps between hundreds of separate national data sources, requiring an algorithm that can perform at global scale. The resulting methodology uses something akin to a euclidean allocation raster applied to vector space, free of the compromises other approaches like generalization and snapping make. If you've ever been challenged by topology or data cleaning, you might find some insights into solving your own problems with the ideas contained here. Pipeline The edge-matching algorithm involves multiple complex and computationally intensive steps. Although Geopandas and GDAL usually come to mind when building multi-step geoprocessing scripts, PostGIS ended up being the fastest and best scaling tool for transforming gigabytes of vector data. I'll challenge your assumptions of how it can be used to create pipelines on both desktops and in the cloud, and make a case for why you should include it in your next project. Sources A composite dataset is only as good as the foundations it builds upon, and great care was taken in selecting which sources were used in this project. For international boundaries, I'll go into detail about how I used only public domain sources to create an ISO 3166 compliant dataset. At the subnational level, I'll highlight two projects that each curate updated administrative boundaries: one by the United Nations, another by an academic institution. Whether you're a remote sensing specialist in search of the best to...https://video.osgeo.org/videos/embed/dbe087b5-e41d-4807-9db0-efa83b1709b1https://video.osgeo.org/w/r6BwmnajvV8k9bzGqzWaqPhttps://video.osgeo.org/lazy-static/thumbnails/0c8d6436-939d-4692-9358-73ecc5016212.jpg2023 | Cartographic generalization with Open Source - Mathias GröbeFOSS4G 2023 Prizren Generalization is a crucial topic in the map production process, describing the derivation of a map of a smaller scale from another one. It combines maintaining essential features and removing less important ones to offer a readable map. Often, this complex topic is reduced to a selection of attributes, creating label geometries, and simplifying line and area geometries. This presentation shares the knowledge of the cartographer's toolkit by introducing the whole set of available generalization operators and showing less-known approaches for creating better maps. The entire collection of operators consists of simplification, smoothing, aggregation, amalgamation, collapse, merging, refinement, exaggeration, enhancement, and displacement, which can be implemented by algorithms. The goal is to go behind the standards of creating centroids for labelling and using a Douglas-Peucker Algorithm for line simplification. A showcase of polygon simplification and creating label geometries are shown, demonstrating how to implement the operators using PostGIS with OpenStreetMap data. Several existing and working solutions for simplifying geometries and labels are presented to showcase possibilities.https://video.osgeo.org/videos/embed/cb3d13cd-bf25-433d-bab7-bf1f4ccb58e3https://video.osgeo.org/w/31vN6Vz24LHmKEfdEsZSaWhttps://video.osgeo.org/lazy-static/thumbnails/2b4944bb-305b-4009-8386-44f9543b7a82.jpg2023 | Investigating war crimes, animal trafficking, and more with open source geospatial dataFOSS4G 2023 Prizren Presenter: Logan Williams At Bellingcat, a non-profit investigative organization in the Netherlands, we research war crimes, find tiger smugglers, monitor environmental degradation and track extremist hate. To do this, we use "open sources", including public databases, social media posts, and a wide range of geospatial data and tools. The use of these new online sources has dramatically changed investigative journalism and humanitarian accountability research in the past five years, and there remains tremendous potential for further development, especially in the geospatial realm. In this talk, Bellingcat data scientist Logan Williams will present case studies from our research to illustrate how invaluable open source geospatial tools and data are for "open source" investigative research. Some of the most useful tools for investigators are designed for very different purposes, from academic meterology to outdoor recreation. Additionally, some of Bellingcat's own FOSS geospatial tools, based on Open Street Map and Copernicus satellite data, will be showcased. Finally, the talk will discuss opportunities for deepening the connections between the open source geospatial community and the open source investigation community.https://video.osgeo.org/videos/embed/1044a399-462a-4105-899a-976d9230e990https://video.osgeo.org/w/shiBWhUANBSdgY6w3WMbaShttps://video.osgeo.org/lazy-static/thumbnails/922431ac-2213-471c-8c3e-89a441d0e925.jpg2023 | An Investigation in Updating the Building Stock Data for Municipalities in Baden-WürttembergFOSS4G 2023 Prizren Presenter: Franz Josef Behr In the submitted paper, the topicality of the building stock in municipalities in Baden-Württemberg, part of the Federal Republic of Germany, is examined. Three municipalities were selected and included in the study according to the spatial type concept of the Federal Office for Building and Regional Planning (BBSR 2023): rural town 2,000-5,000 inhabitants, small town 5,000-20,000 inhabitants, medium-sized town, 20,000-100,000 inhabitants. The analysis concept is explained and the quantitative and qualitative results of the project, which is currently in its final phase, are presented. The aim is to use these results to derive and communicate recommendations for action for the municipalities, but also for the public surveying administration, in order to contribute to timely and effective action by municipal decision-makers and citizens through faster provision of geospatial data.https://video.osgeo.org/videos/embed/d4d45d2a-eba9-4667-afa9-5b0ce61d894chttps://video.osgeo.org/w/jNENJJAdxGdtUYgn9utPcihttps://video.osgeo.org/lazy-static/thumbnails/cfea47d5-d6d6-4784-b0bf-375ba04b163d.jpg2023 | Oskari Embedded Maps and integrations with RPC API - Timo AarnioFOSS4G 2023 Prizren Oskari (https://www.oskari.org, https://github.com/oskariorg) provides a super-easy-to-use tool for creating mobile friendly maps that can be embedded onto websites or used as is. When embedding the maps on existing websites one can utilise the RPC API to further leverage the capabilities of Oskari. The API allows for integrating with existing services and external data sources so that the end result will be a seamless spatially enabled service running on any modern web browser. While creating maps with Oskari requires no expertise in programming, utilising the RPC API requires basic knowledge of JavaScript. This talk will present the possibilities of Oskari RPC API among with some examples of live services created using it.https://video.osgeo.org/videos/embed/98489fcd-67e3-48d1-9646-24d8641195e3https://video.osgeo.org/w/ivGB99FoBfh1EhJ5yAbVUyhttps://video.osgeo.org/lazy-static/thumbnails/bde90412-f272-42da-9d20-529a08e3e9f4.jpg2023 | State of Oskari - Sami MäkinenFOSS4G 2023 Prizren Oskari is used world wide to provide web based map applications that are built on top of existing spatial data infrastructures. Oskari offers building blocks for creating and customizing your own geoportals and allows embedding maps to other sites that can be controlled with a simple API. In addition to showing data from spatial services, Oskari offers hooks for things like using your own search backend and fetching/presenting statistical data. This presentation will go through the improvements to existing functionalities and new features introduced in Oskari during the last year including: - Theme support - UI rewrite progress - Cloud compatibility improvements You can try some of the functionalities Oskari offers out-of-the-box on our sample application: https://demo.oskari.org.https://video.osgeo.org/videos/embed/8dd0f368-1439-4f4d-9910-4146907c380chttps://video.osgeo.org/w/t11KgvAgTPa5BydbGpWfx4https://video.osgeo.org/lazy-static/thumbnails/f9f16b5a-f1a5-4321-bf88-4fdec38ed988.jpg2023 | Suomi.fi-maps - national service implementation with Oskari platform - Arto SinkkonenFOSS4G 2023 Prizren Suomi.fi-maps offers to the public administration and government agencies a centralized service for utilizing maps and location data. In the Suomi.fi-maps service, a user may compile their own map views from the map layers available in the service, as well as from their own objects and materials provided by service interfaces of their own organization. Oskari platform is used to implement the Suomi.fi-maps system. Suomi.fi-maps is used to enable all the Finnish residents to use maps and the location data to find about the services they are interested in. In addition to other open data the open materials of the National Land Survey may also be used: various terrain and background maps, property boundaries and aerial photographs. User may connect their own interfaces to the Suomi.fi-maps service or add their own objects to the map to be published. This presentation describes with examples, how the Oskari platform and its features are used used to implement the Suomi.fi-maps service and lessons learned.https://video.osgeo.org/videos/embed/daa7341c-01bc-42e5-94c6-8d60dd334361https://video.osgeo.org/w/2VDwgBqiuTvdVEN2QqtCCyhttps://video.osgeo.org/lazy-static/thumbnails/c7ca30a1-43cf-4aa8-bf0d-dfdd6e3b2ce7.jpg2023 | eoAPI - The Earth Observation API - Vincent SaragoFOSS4G 2023 Prizren eoAPI is an open source project which aims to create a full Earth Observation API, combining STAC metadata API (stac-fastapi), a Raster dynamic tile service (TiTiler) and a Vector Tiles service (TiPg). Using eoAPI AWS CDK template you're almost two command lines away of setting your own Earth Observation services.https://video.osgeo.org/videos/embed/0f96aea1-7795-48c5-b0e8-5424b57ea450https://video.osgeo.org/w/vxhtBZWgW8QFvNF2ELLCyDhttps://video.osgeo.org/lazy-static/thumbnails/cfd0e42c-e534-4fa6-b582-775d186a88a7.jpg2023 | Offline web map server "UNVT Portable" - Shogo HirasawaFOSS4G 2023 Prizren UNVT Portable is a package for RaspberryPi that allows users to access a map hosting server via a web browser within a local network, primarily for offline use during disasters. It is designed to aid disaster response by combining aerial drone imagery with OpenStreetMap and open data tile datasets. "UNVT Portable" is a map server that allows you to freely use web maps from devices such as smartphones even in an offline environment. It is mainly designed to work in an offline environment in the event of a major disaster, and various open data tiles are prepared in advance, such as drone aerial images taken after a disaster, OpenStreetMap, and satellite images released for free by JAXA（Japan Aerospace Exploration Agency）, etc. Combine sets to create the maps you need in times of disaster. We envision a use case for municipalities, etc. to understand the situation after a disaster and to respond to disasters. It is built using open source software such as Apache and MapLibre and Raspberry Pi, and is completely open source. Unlike tools such as Google Maps, which are difficult to use for secondary purposes, it is being developed as open source so that it can be released in a form that can be easily used by anyone, including local governments, international organisations and private companies.https://video.osgeo.org/videos/embed/ef373b59-df13-4e18-9919-dace0a89df95https://video.osgeo.org/w/sApVKf4z4NhmvsBMQhB8fnhttps://video.osgeo.org/lazy-static/thumbnails/035f809d-8456-4539-a8bf-d3c657a0eaf0.jpg2023 | Surface Runoff Processes and Design of Erosion Control Measure in Landscape&Artificial SlopesFOSS4G 2023 Prizren Presenters: Petr Kavka, Ondřej Pešek & Martin Landa Surface runoff is one of the processes with direct impact on water erosion. Surface runoff has two basic components: a) sheet runoff and b) rill runoff. Observation of these phenomena at various scales and then using mathematical models to describe their observations plays a key role for soil protection. One of the models developed to compute these phenomena is SMODERP, used for example in the flexible and adaptive approach to land management and landscape planning called Model of Living Landscape project. Innovative application of the SMODERP model (https://github.com/storm-fsv-cvut/smoderp2d) named SMODERP Line is presented in this contribution. SMODERP Line is accessible through various interfaces including OGC Web Processing Service (WPS) which can be easily integrated into user-defined processing pipelines or web applications. Usage of SMODERP2D Line will be demonstrated in the QGIS environment through a new OWSLib-based QGIS WPS Client Plugin (https://github.co/OpenGeoLabs/qgis-wps-plugin).https://video.osgeo.org/videos/embed/d75ba37f-3bfe-4600-9b05-b7c8736e7675https://video.osgeo.org/w/hVqLBpeHCKcgFh6e8Vj526https://video.osgeo.org/lazy-static/thumbnails/dcc4d87a-c69c-4a69-b648-5704d2d90053.jpg2023 | Evaluating geometric accuracy: Madagascar's 1:100,000 base map vs. CASEF ortho image.FOSS4G 2023 Prizren Presenter: Marie Anna Baovola The quality of geospatial data is generally measured by its logical consistency, completeness, positioning quality, semantic quality, temporal quality and genealogy [1]. In fact, concerning the situation of geospatial data in Madagascar in the past, since 1992, the old orthophotos had been attached to the national reference system which is the international 1924 with Laborde as a projection. The first old orthophotos were achieved during the environmental program in 90s. Inother hand, the remain old orthophotos were produced with the mission as national securing land tenure. However, the geometric accuracy and details of all the old orthophotos are different as well as they do not cover the national territory. If they cover a large area for about 60 000 km2, some users have noticed discrepancies of a few meters or even more than a dozen meters on certain points, even though the field of application is land. In December 2019, a ministerial order was developed to define the technical specifications of photogrammetric work in the country. In this specification, according to Chapter 4, Section 14, the accuracy of the orthophoto / orthoimage is estimated by the planimetric root mean square deviation (emqXY) calculated from the differences between the ground coordinates and measured orthoimage coordinates of certain clearly identifiable topographic features. For the orthophoto / orthoimages in urban areas, the emqXY must be better than 1 m CE90 which is the circular error at the 90th percentile. For the rest of the territory other than the urban area, it must be better than 3 m CE90 [2]. Therefore, not only is it crucial to be able to measure this quality, but also to control, to improve, and finally to guarantee it [3]. The basic map in Madagascar is the topographic map at the scale of 1 : 100 000. However, the average age of these maps is 60 years. Consequently, the contained information no longer meets the need...https://video.osgeo.org/videos/embed/8907e724-4571-42ed-9342-1fc2ff19470fhttps://video.osgeo.org/w/rUmuvzjEhLNubw7nPA3YjVhttps://video.osgeo.org/lazy-static/thumbnails/b22cb85c-912a-435f-b580-cda96ddd7b23.jpg2023 | Why is popularity the biggest enemy of WMS? - Marcin NiemyjskiFOSS4G 2023 Prizren The Web Map Service (WMS) is the most popular standard of sharing data remotely. It is commonly used as a basemaps, a way of presenting governmental spatial data, and as a data source when creating vector datasets. Creating a WMS requires original data to be read and then rendered. This process can be slow, especially if the source data is heavy and not optimized. This is the case, for example, with Sentinel 1 global satellite data, which is a collection of daily revisions with a total volume of 250 GB per one day. Here we demonstrate an efficient way to share such a very large data set as WMS using Mapserver scaled with Kubernetes. Mapserver is used as engine of our WMS, because of it speed and ease of automation. In order to optimise the performance of the service and therefore the user experience, it is recommended to store the data in the right format, with the right file structure also being aware of limitations of storage, bucket or disk read speed. GDAL provides a set of options that can be executed in a single command to overwrite the original data with new, cloud optimized. It is usually good practice to store selected zoom levels as a cache, but for time series data that is enriched daily, the cache is not overwritten as new data arrives, but is incremented. Despite its popularity and advantages, WMS as a standard of serving data has its limitations. The potentially large disk read time is multiplied by the number of users sending requests. Tests using JMeter (100 users sending 100 GetMap requests in a loop) have shown that on a relatively strong processor (32CPU), the greatly increased traffic acts as a distributed denial-of-service (DDoS) - the server stops responding. This problem is solved using Kubernetes (K8s) which allows metric-based automatic horizontal scaling of containerised applications, in this case – Mapserver. Prometheus as a K8s cluster monitoring tool allows custom metrics to be defined e.g., number of http requ...https://video.osgeo.org/videos/embed/d1c3c55a-1b28-4909-b7d8-54db2c5cd139https://video.osgeo.org/w/ckgkKFiQHYZjywp7Qt8hA5https://video.osgeo.org/lazy-static/thumbnails/29c585a7-d274-46ca-a256-2534599c643f.jpg2023 | Get your own OpenStreetMap dataset running in a Geoserver instance in 2 steps - Jose MacchiFOSS4G 2023 Prizren Get your preferred OSM dataset (ie. country) running in a local Geoserver instance with only 2 commands and avoid any dependence on an external provider. Simple, fast, clean solution. Lowering the barrier to entry to geospatial technology use and development. Docker-compose setup which assembles the necessary components to implement a Geoserver instance that publishes the OpenStreetMap (OSM) layers locally on a single host/machine (Postgis is required to store the OSM layers). Instructions for this project are based on this repository OSM-Styles, but make a much simpler execution plan. The steps and scripts are intended to run in the context of Linux, Mac and Windows environments.https://video.osgeo.org/videos/embed/5bc51c60-cd72-4485-8b14-6fa0fdbf64c0https://video.osgeo.org/w/x3NNJNM76Tc3ayWJLEnydUhttps://video.osgeo.org/lazy-static/thumbnails/c39b4eae-3c1e-4727-8bfd-86d29ce0b725.jpg2023 | Mapping Japan cultural heritages with OpenSource based architecture - IGUCHI KanahiroFOSS4G 2023 Prizren Japan fascinates the world with its rich culture, materialized with a full of cultural sites in its territory as example. To protect it, the Law for the protection of cultural properties established a “cultural heritage” designation system, where designated places should be preserved. With the collaboration of the Nara National Research Institute for Cultural Properties, Japan cultural heritages has been mapped as a WebGIS tool where more than 100,000 places can be visualized. In this talk will be presented tool functionalities and technically its OpenSource based architecture.https://video.osgeo.org/videos/embed/fb6fa190-d5d7-4c87-93fd-969fb7380c14https://video.osgeo.org/w/rHnA6QcWGcVSEnVFXDmqmQhttps://video.osgeo.org/lazy-static/thumbnails/18ce821c-b461-4ba7-98e4-6d9359fe5fe3.jpg2023 | Catasto-Open: open-source tools for the Italian Cadastre -Chiara Sammarco & Louis AndrianaivoFOSS4G 2023 Prizren Catasto-Open is an open-source set of tools for the Italian Cadastre that manages geospatial data in a user-friendly and efficient manner. The tool is designed to store, retrieve and manipulate cadastral data, including property boundaries, ownership information, and other relevant details. By leveraging GeoServer and MapStore technologies, it allows for the integration with existing GIS systems, making it a versatile and valuable resource for managing geospatial data in an OGC-compliant pipeline. The tool is accessible to a wide range of users, including government agencies, private companies, and individual property owners, also Catasto-Open can be easily customizable to meet the specific needs of different users.https://video.osgeo.org/videos/embed/d03b43de-4a45-49e8-91d6-b8c1f571c528https://video.osgeo.org/w/mjwU3LcGhhiPh2M9Drg6C8https://video.osgeo.org/lazy-static/thumbnails/96914208-6b49-4384-8d25-69d3985b6193.jpg2023 | A Modern Nolli Map: Using OpenStreetMap Data to Represent Urban Public Spaces - Ester ScheckFOSS4G 2023 Prizren More than 250 years ago, Giovanni Battista Nolli, an Italian architect, engineer and cartographer, was concerned with how and where space is or is not publicly accessible. In his map 'La nuova topografia di Roma Comasco', he mapped publicly accessible interior and exterior spaces of Rome with an impressively high level of detail as a figure-ground map. Since Nolli’s time, both the character and diversity of public spaces as well as cartographic technology have changed. In my Master thesis, I aim to adapt Nolli's underlying idea for today’s circumstances on the basis of open data, and seek to develop methods for processing volunteered geographical information from OpenStreetMap (OSM) to identify, categorize, and map public spaces based on thematic and geometric information. First, it has to be clarified what is considered public space and what is not. Given the data available via OSM as well as in terms of feasibility, I focus on the aspect of public accessibility and exclude indoor spaces. Data processing is implemented as a Python script based on existing OSM and geospatial Python packages. The code is available as Open Source on GitHub. The application of the framework and methods is tested in two case studies in Vienna, Austria. The result can be visualized as 'contemporary Nolli map'. In this talk, insights into the methodology and framework for data analysis developed as part of the speaker`s Master thesis will be given.https://video.osgeo.org/videos/embed/a48d33c6-26fe-47e4-8e7f-3c98fa1f486bhttps://video.osgeo.org/w/7q7f1a3EzE2oq5oiWhBFjShttps://video.osgeo.org/lazy-static/thumbnails/60108115-667f-44fa-8f59-833598abab4b.jpg2023 | Tools for linking Wikidata and OpenStreetMap -Edward BettsFOSS4G 2023 Prizren Editors of OpenStreetMap can use my software to search for a place or region, generating a list of candidate matches from Wikidata, which can then be checked and saved to OpenStreetMap. Linking the two projects isn't without controversy. They use different licenses which raises questions about what information from one project can be copied to the other. This presentation will give details of a new version of the editing tool. The benefits of linking, the process of finding matches, the community response - including the controversy - and how people can get involved will be discussed.https://video.osgeo.org/videos/embed/33f48763-0d61-4e1f-a34e-782f627c3e3ahttps://video.osgeo.org/w/dGxVBR8UHdvEgGQMxaeZSghttps://video.osgeo.org/lazy-static/thumbnails/83a2f253-75c9-41f0-b846-6075667ea3cf.jpg2023 | The template for a Semantic SensorThings API with the GloSIS use case - Luís M de SousaFOSS4G 2023 Prizren The work of the Spatial Data on the Web Working Group (SDWWG) challenged the traditional approach of the Open Geospatial Consortium (OGC), prompting a shift towards modern API frameworks. They proposed a five-point strategy to enhance spatial data infrastructures, making them more linked, parseable, and understandable. With the adoption of OpenAPI, a semantic layer has been introduced to digital environmental data, fostering better results for children. The SensorThings API, an OGC standard, facilitates the interconnection of Internet of Things resources with both semantic and syntactic interoperability. It aligns with the ISO/OGC standard Observations & Measurements (O&M), enabling the exchange of observation data of natural phenomena. The glrc software, a lightweight server, translates SPARQL queries into Linked Data web APIs compliant with OpenAPI, providing a user-friendly interface for developers. The use case of GloSIS exemplifies the potential of the SensorThings API to exchange harmonized soil data as Linked Data, aligning with the Global Soil Partnership's vision for a sustainable agriculture future.https://video.osgeo.org/videos/embed/66d716bf-93ac-414a-95fc-faeb5622ff9fhttps://video.osgeo.org/w/pkCxKfkU8zsrppKoibgBathttps://video.osgeo.org/lazy-static/thumbnails/491813d1-8d72-44f4-bb51-ff618105ec21.jpg2023 | Digitizing and improving GIS for Global Health - Céline BassineFOSS4G 2023 Prizren In Cameroon, the planning and monitoring of a measles vaccination campaign is implemented in an open source software called Iaso built on a Python based backend combining Django and Postgres/Postgis ; the frontend is React based. Iaso aims to provide a number of core functionalities to support ongoing geospatial data management: a mobile application, a web dashboard, a mapping function to merge various data sources, a user-friendly API for data science and scripting, and a seamless bi-directional integration with DHIS2 (standard health information system in low- and middle-income countries). Iaso is articulated around three essential components : a central georegistry interface, a mobile data collection tool and a micro planning interface. Those tools are integrated seamlessly with each other to provide a powerful platform to manage, update, merge and validate multiple data sources and structured information collected. Geospatial data from GPS collection to the management of multiple reference lists of organization units (Health, Administrative or School pyramid) are Iaso's foundation. Those features allow interconnecting collected data to existing hierarchical features coupled with planification and collection of survey campaigns in the field through the mobile application and the web platform. Iaso exposes a full API providing various endpoints allowing data scientists to integrate data analysis pipeline through external analytic platform. As a geospatial data management platform, it provides versioning of every dataset and is designed to keep a full history of all the changes on the data of interest from the forms to the geometry or metadata of the organization units. It also features seamless integration with QGIS and other desktop applications through a templated Geopackage format. In this presentation, the tool is explained and described from the planning of the vaccination campaign in Cameroon to the near real-time monitoring of the...https://video.osgeo.org/videos/embed/bcffd80a-51d7-4dcf-9b5c-574f230126a9https://video.osgeo.org/w/hCKVNXK6CDvVYBwoyzzfNghttps://video.osgeo.org/lazy-static/thumbnails/43aa88ff-ffc8-4c81-83a5-fc346402cd85.jpg2023 | Community Activation for the Kahramanmaraş Earthquake Response via OpenStreetMap - Can UnenFOSS4G 2023 Prizren On February 6, 2023 a sequence of major earthquakes with magnitudes 7.8 and 7.5 have struck Southern Turkiye and Northern Syria, causing massive damage and very high number of casualties in both countries. The sequence of earthquakes were followed with hundreds of aftershocks within the month following the earthquakes, as well as triggering other major earthquakes, such as the 6.4 magnitude earthquake that had struck Antakya on February 20. Humanitarian OpenStreetMap Team (HOT), with Yer Çizenler (YÇ), HOT’s local partner within the Turkish OSM community, have activated to map the missing road and building base data with the help of regional and global OpenStreetMap communities. More than 7 thousand contributors from these communities, together, have contributed to the addition of more than 1.4 million buildings, 70,000 km of roads into OpenStreetMap for the use of field volunteers and organizations worldwide. In this talk, the audience will be informed about the coordinated efforts within this mapping activation, the impact of the data created with some example use cases within the response activities. The audience will be informed about various open data sources that were used to enhance the existing OSM data, and their licensing and compatibility considerations during the mapping process. The presenters will also describe the validation, data quality assurance and monitoring methods, approaches and tools utilized for ensuring the OSM data is reliable, current and is able to meet community standards within both short and long terms.https://video.osgeo.org/videos/embed/86b410d2-fdc8-429b-af0a-10ba15d0082bhttps://video.osgeo.org/w/vdvN1QFqjYUBg19JTqegVMhttps://video.osgeo.org/lazy-static/thumbnails/70b99f63-6c57-4caf-84ac-a1996e81a10d.jpg2023 | IdeaMap Sudan - Building a geodata community in a data scarse context - Andre da Silva ManoFOSS4G 2023 Prizren IDeAMapSudan is a 2.5-year project finishing in March 2023. The project aims to develop a community-led geospatial database for mapping deprived urban areas (e.g., informal settlements) that will support the decision-making process for displacement and socio-economic reconstruction in Khartoum, Sudan. To that end, nine trainers from different governmental and non-governmental organizations were selected to be trained by a team of international experts from the Faculty ITC of the University of Twente, The Netherlands; the Universite Libre de Bruxelles, Belgium; and from the African Population and Health Research Center Kenya. These nine trainers were taught the essential competencies in using Free, and Open Source Geospatial Software to produce, compile, curate and distribute spatial data. Once the training of the nine trainers was completed, a series of community workshops were organized so that the trainers could train local community actors in tasks related to spatial data curation in close relation to their communities. The datasets produced from this process were then used to create a deprivation model and additional open data sets that can be used to help local communities and actors to take actions to mitigate several types of deprivations: Unplanned urbanization - e.g. small, high-density, disorganized buildings Social risk - e.g. no social safety net, crime Environmental risk - e.g. flood zone, slopes Lack of facilities - e.g. schools, health facilities Lack of infrastructure - e.g. roads, bus service Contamination - e.g. open sewer, trash piles Land use/rights - e.g. non-residential zoning This talk will describe three significant aspects of the project: the curriculum of competencies and the software tools used to teach these competencies; the phases and challenges of assembling a team and infusing it with a sense of community and participation; and the importance of disseminating results and evaluate the social impact open sourc...https://video.osgeo.org/videos/embed/ec984ea3-baa9-4f2b-8142-88746db9fa33https://video.osgeo.org/w/4YS7Wd4Qr94P5hvxiTD98ihttps://video.osgeo.org/lazy-static/thumbnails/6d910e3c-eebd-42d2-9034-43bd24d95272.jpg2023 | Openness as a strategic advantage in modern geospatial - James Banting & Will CadellFOSS4G 2023 Prizren In the last decade, 5 complementary assets have intersected, creating a series of new capabilities for our community. Modern geospatial did not exist even five years ago, and openness - the combination of open standards, open data all glued together with open source code is a key contributing factor. This talk will present the case for openness being a competitive advantage for a modern, innovative technology company.https://video.osgeo.org/videos/embed/203bf452-19ba-4f2e-b3b3-adc24886ba9fhttps://video.osgeo.org/w/aV6jxbbfA3yYq5TW55h8Pmhttps://video.osgeo.org/lazy-static/thumbnails/a1ed07e9-082e-4b9d-9129-0c108b97b8d4.jpg2023 | Tiling big piles of raster data using open source software and MapTiler Engine - JachymFOSS4G 2023 Prizren When publishing (raster and vector) data in the form of a web mapping application, the first step is always to prepare a cache of the data. Currently, tiled images seem to be the industry standard - and the internal format of the tiles is either PBF (for vector data) or PNG/JPEG/WebP or similar raster data formats supported by current web browsers and desktop mapping applications (e.g. QGIS). Most of the tools out there are going to store the raster tiles in a file-system structure, using directories for the Z and X tile coordinates and file names for the Y coordinate. This is limiting for practical purposes as on some filesystems you can exceed the maximum number of files easily. While for the vector data, the OpenMapTiles project seems to be well established, along with Tippecanoe and Planetiler, for the raster data tiles, the field of tiling possibilities is wide open. The tiling process can be very demanding on hardware resources and time-consuming. Having the possibility to parallel process the data or even use a cluster of machines for faster tiling could be crucial for some applications. In this talk, you will get an overview of the current possibilities for tiling, focused (but not exclusively) on the raster data tiles. Gdal2tiles, QGIS tile generating tools, mapproxy-seed, mapcache_seed, and others. Each of the tools has its place in the geospatial data provider ecosystem, and so does MapTiler-Engine. With MapTiler-Engine, users can process large amounts of geospatial data and store them in various output tile formats. It supports many input data formats and adds modifications such as output color, resolution, and more. It also supports different tile matrix sets. MapTiler-Engine has a graphical user interface for easy usage, but it also has a command line interface, so you can make it part of a larger toolchain.https://video.osgeo.org/videos/embed/504bf232-20d4-4bb3-acdd-b9a2efd650f6https://video.osgeo.org/w/7U4SvHCKNb39fQBwhnFWHjhttps://video.osgeo.org/lazy-static/thumbnails/26ab57fb-049e-4f61-b8fc-6d503e3d39be.jpg2023 | DigiAgriApp: the app to manage your agricultural field - Luca DelucchiFOSS4G 2023 Prizren DigiAgriApp is a client-server application to manage different kinds of data related to farming fields. It is able to store information about crops (specie, farming forms/system...), any kind of sensor data (included sensors and device hardware, weather, soils...), irrigation information (system type, openings...), field operations (pruning, mowing, treatments...), remote sensing data (taken from different devices as mobiles, drone, satellites) and production quantities. The DigiAgriApp server is composed of a PostgreSQL/PostGIS database and a REST API service to interface with it. The server is developed using Django and the Django REST framework extension with other minor extensions are used to create the REST API. This service plays the key interface between the database and the client. We choose a nested way to create the API, of which the main element is the farm; this way the user can see only the farms related to him and from there he can look to other nested elements, first of all the farm’s fields and later other elements like sensor and remote data or other sub-fields like rows and plants. The REST API is using JavaScript Object Notation as input and output format to simplify and standardize the communication with it. To obtain data from the sensors the server is also composed of a growing number of services to work with data providers, of which currently only a few are implemented. The Message Queue Telemetry Transport provider is a demon listening continuously to a broker (backend system to coordinate different clients) and several topics to obtain data as soon as they are provided; the second provided that is already implemented is related to remote sensing data and uses the SpatioTemporal Asset Catalogs specification to obtain the data. STAC is a common language to describe geospatial information, so it can more easily be worked with, indexed and discovered. The client side instead is developed using Flutter, an open-source U...https://video.osgeo.org/videos/embed/37dbe4be-4bb6-4d80-81e7-9957ad03ae5chttps://video.osgeo.org/w/fk7c37WRhaURbC9nqGn6BThttps://video.osgeo.org/lazy-static/thumbnails/f67bd639-3689-4370-8565-6f055835c6fd.jpg2023 | SMASH and the new survey server - state of the art - Andrea AntonelloFOSS4G 2023 Prizren SMASH , the digital field mapping application for android and IOS that superseded the well known app geopaparazzi has been around for some years now. The last two years were a positive development storm after a quite calm year and brought many fixes as well as enhancements. Examples are better postgis and geopackage support, but also some hidden gems like geocaching. The big news is on the serverside though. A new survey server has been developed in tight cooperation with a local government agency to best create effective surveying workflows and tools for survey teams. To attract a wider developer community to contribute to the project, the django framework was chosen for the server backend. This presentation will give an overview of everything happened lately in the SMASH field mapping world.https://video.osgeo.org/videos/embed/740ae344-cf60-45ec-a4f5-18b4570c13ddhttps://video.osgeo.org/w/xvAKfHbT76K5eyMRC2m6SWhttps://video.osgeo.org/lazy-static/thumbnails/21ffc5f8-3dcc-4547-bf64-be2827e864a4.jpg2023 Keynote | Leveraging geospatial tech, UNICEF improves results for children - Jan BurdziejFOSS4G 2023 Prizren “Whether it is to know where children are, what access they have to facilities (education, health, transportation), what environment they live in (water, air), where risks exist (hazards, diseases), where events happen or where services and resources are available; most of the operational data used by UNICEF is geospatial” (UNICEF Geospatial Roadmap, 2019). At UNICEF we realize that we need to leverage geospatial information to enhance decision-making and optimize resource allocation and drive effective interventions. Geo-enabling UNICEF’s data, systems and processes aims at transforming data into easily accessible, readily available, and actionable geospatial information that can address key questions, such as: “How many children have been affected by a flood?”, “Where children have limited access to schools and limited access to health services?”. This information is critical to support decision-making to ultimately drive better results for children. UNICEF has recently adopted a hybrid corporate geospatial architecture, which aims at bringing together the advantages of both commercial and open-source GIS world. This keynote aims at discussing how UNICEF is leveraging modern open-source geospatial solutions to address some of the key data-management challenges. Specifically, two open-source geospatial projects developed by UNICEF will be showcased and discussed: GeoRepo and GeoSight. GeoRepo is a web-based system that will help us store, manage and share a commonly agreed, versioned, official set of administrative boundaries and other core geospatial datasets. It will help us ensure that geospatial data is used consistently across all internal systems and will also strengthen our interoperability with external systems. GeoSight, on the other hand, is a web geospatial data platform developed by UNICEF to bridge the gap between web mapping systems and the Business Intelligence / data analytical platforms. GeoSight is specifically designed t...https://video.osgeo.org/videos/embed/ff2d47d6-b9fb-424c-8bfa-34c7233dc4aehttps://video.osgeo.org/w/2EoXF6ZFK4Dv2vBjYN423vhttps://video.osgeo.org/lazy-static/thumbnails/564059a2-f1cd-4d94-9aa0-6c9d9ae9290b.jpg2023 Keynote | Revolutionizing Solar Potential Assessments in Kosovo - Lorik HaxhiuFOSS4G 2023 Prizren Imagine a future where entire communities can harness the power of the sun to fuel their homes and businesses, reducing their dependence on traditional energy sources and helping to build a more sustainable world. In this keynote, you will witness a groundbreaking project that is making this vision a reality in Kosovo, using the latest geospatial technology. Through the USAID funded Kosovo Energy Security of Supply (KESS) activity, DT global is working to promote sustainable energy solutions in Kosovo. A partnership between DT Global and DevGlobal, are leveraging the power of drones, GIS software, and open-source machine learning models to revolutionize the way we evaluate the solar potential of individual structures. By accurately delineating the boundaries of rooftops using drone imagery, we can then apply cutting-edge photogrammetry analytics to determine the optimal placement of solar panels. But we're not stopping there. By training the Ramp* open buildings model to successfully identify and delineate rooftops in Kosovo, using data obtained from the Kosovo Cadastral Agency's 2023 high-resolution aerial survey campaign, we are laying the groundwork for a national-level approach to mapping building footprints that can be utilized for a range of applications beyond evaluating rooftop solar potential.https://video.osgeo.org/videos/embed/0d758d2c-8d3b-4a32-ae20-63d40421330dhttps://video.osgeo.org/w/9izAdHCgTLjPjRkyXPgELvhttps://video.osgeo.org/lazy-static/thumbnails/c2057832-b27f-446d-aa4e-1892d5ee5f73.jpg2023 Keynote | Open-Source Solutions: Expanding our Humanity with Data Stories - Bonny McClainFOSS4G 2023 Prizren Geospatial analysis welcomes an audience to interact with complex interactions and dynamic shifts in ecosystem balance. Location intelligence collected as data layers mirror a symphony or chapters in a book. In this keynote you will explore the potential risks of vulnerable cities by exploring the environment, economics, built infrastructure, and how they intersect. We build the story or music over time while exploring the tensions we create. Let’s examine the edges of eco-geomorphic frameworks and listen for a narrative.https://video.osgeo.org/videos/embed/433d7435-1846-4541-83ab-88e449701195https://video.osgeo.org/w/2N4QZk3TPGpnNTkT59rhN7https://video.osgeo.org/lazy-static/thumbnails/dcad6ecc-d194-4c4f-8a6e-feaf172bd6c9.jpg2023 Keynote | Geochicas: From SOTM to FOSS4G, a Geospatial journey - Miriam GonzalezFOSS4G 2023 Prizren Geochicas is a initiative born in State of the Map Sao Paolo and adopted by FOSS4G communities over the past years. In this keynote you will have the chance to disscus what had happened in the last couple of years and what is foreseen in the future of the initiative. How Geochicas is part of a larger ecosystem of siblings organizations working towards having a more balanced presence of women and minority groups in the Geospatial communities.https://video.osgeo.org/videos/embed/0e87b8ae-ba75-43a1-a4b0-dd32c9787adahttps://video.osgeo.org/w/9tuyhngVdw5p7QhhwzpeBvhttps://video.osgeo.org/lazy-static/thumbnails/8731a2f1-ebec-46fb-a2a7-a4d6b82a6565.jpg2023 Keynote | Türkiye and Syria Earthquakes Mapping Response - Said TurkseverFOSS4G 2023 Prizren Powerful earthquakes hit southern Turkey and Syria on 6 February 2023. These earthquakes in Turkey and Syria caused thousands of casualties and destroyed cities. Geospatial infrastructure is critical to respond to these earthquakes during rescue operations, humanitarian effort as well as planning recovery activities. Yercizenler coordinated mapping activation with the collaboration of Humanitarian OpenStreeMap team to improve open geodata infrastructure in the earthquake affected region and supporting humanitarian response in the scope of mapping.Türkiye Earthquakes Mapping Response aims to complete open map data infrastructure before and after the event in affected areas. This response is structured with following workstreams; Remote Mapping, Post-disaster Field Data Collection, Global Community Activation and Geo-data Integration. In this keynote you will have the chance to see how open data and community activation helped save lives after earthquakes, what challenges were faced and what was learnt during the Türkiye Earthquakes mapping Response effort.https://video.osgeo.org/videos/embed/449fca29-5937-448d-b240-1661d2335847https://video.osgeo.org/w/vYbqeqo6WcTPKPXrKcEp4chttps://video.osgeo.org/lazy-static/thumbnails/63b0ae5a-9baf-4eaf-abb6-a06a9f484549.jpg2023 Keynote | The Importance of Seeding - from 3 ECTS to Shaping a better world - Marco BernasocchiFOSS4G 2023 Prizren In this keynote, you will explore the significance of seeding in the context of open-source software. Using QField as an example, you will explore the steps needed to turn a student's project into the leading fieldwork app that helps hundreds of thousands of people with their work and can help address many of the Sustainable Development Goals. The challenges faced during the initial stages of development and what steps played a crucial role in overcoming them will be discussed. The importance of community and industry involvement and how these helped QField reach global success and over 800K downloads is highlighted. Through this keynote, you will gain insights into the role of seeding and commitment in developing and growing open-source software, highlighting its impact on innovation, collaboration, and sustainability.https://video.osgeo.org/videos/embed/f2b117aa-8ee8-4af5-8ad3-e581322ff135https://video.osgeo.org/w/b3sD7awQWakWntVH3Q2omDhttps://video.osgeo.org/lazy-static/thumbnails/e599c0e3-4a00-4de2-a0e6-350af19dff54.jpgBack from the Geocamp venueA quick clip of the trip from the San Simón island where Geocamp 2023 was held.https://video.osgeo.org/videos/embed/51534a9e-4435-4ffd-b326-12f1778747edhttps://video.osgeo.org/w/uwNLLf9y5kACe4FsNswTzBhttps://video.osgeo.org/lazy-static/thumbnails/5138227b-c43a-4796-818b-3bf01419c1ff.jpgPostGIS Day 2023: PostGIS Surprise ExtensionsRegina Obe from Paragon Corporation brings us 'PostGIS Surprise Extensions'. This talk will cover various extensions that extend PostGIS. You'll learn what kinds of problems each extension is designed to solve and we'll showcase examples of their surprising use. Slides: https://postgis.us/presentations/PostGISDay2023_SurpriseExtensions.html and the code link https://postgis.us/presentations/postgisday_2023.sql.https://video.osgeo.org/videos/embed/e70d050b-a3d4-4925-b9a8-7d96ff562dd9https://video.osgeo.org/w/vCBiwfAtJ4WSHutGkVLjm6https://video.osgeo.org/lazy-static/thumbnails/47d5e56c-0ec4-4e18-91c9-ff35192a0e26.jpgGetting Started with QGISIn this video I cover creating a new QIS project, adding an OpenStreetMap layer, panning & zooming, finding locations, creating spatial bookmarks and setting up a basic print layout. 0:00 - Intro 0:26 - Overview 0:44 - Versions Used 0:56 - Creating Project Folders 1:17 - Creating a New Project 2:20 - Adding an OpenStreetMap Layer 2:57 - Panning & Zooming 3:53 - Finding Locations 5:22 - Zoom History 5:47 - Spatial Bookmarks 7:07 - Print Layout 11:48 - Summary --- Buy me a Coffee: https://ko-fi.com/lostmapper Mastodon: https://mapstodon.space/@lostmapper Web site: https://lostmapper.com Email: brian@lostmapper.comhttps://video.osgeo.org/videos/embed/eff58d73-e1a4-40a7-8e9c-ef7ef9d382a5https://video.osgeo.org/w/nvReXKVMFuYY7f1Lc9dZVThttps://video.osgeo.org/lazy-static/thumbnails/499498dc-917a-46b4-84c5-65c600b15ed7.jpgAdding Google Maps to QGISIn this video I cover 3 different ways you can add Google Maps to your QGIS projects. 0:00 - Intro 0:15 - Versions 0:22 - Overview 0:32 - Getting Started 1:20 - Method 1 - Manual Entry 2:30 - Method 2 - Connections File 4:01 - Method 3 - QuickMapServices Plugin 5:35 - Floating Head Shout Out Download Google QGIS XYZ Tiles from https://lostmapper.com/qgis-xyz-tiles/ Get the Floating Head app at https://apps.apple.com/us/app/floating-head-show-yourself/id1565946661 --- Buy me a Coffee: https://ko-fi.com/lostmapper Mastodon: https://mapstodon.space/@lostmapper Web site: https://lostmapper.com Email: brian@lostmapper.comhttps://video.osgeo.org/videos/embed/ae3ad3ac-e8e3-4bd9-96d2-5a5e15c62679https://video.osgeo.org/w/gC2wLZyMZJbydGQSVY1cVjhttps://video.osgeo.org/lazy-static/thumbnails/ddfa8589-5025-46a2-a12a-edcdeb55cf40.jpgWorking with GPX Files in QGIS - Part 1In this video I cover how to download, add, style and label GPX files and features in your QGIS projects. 00:00 - Intro 00:18 - What is a GPX file? 01:27 - Project Setup 02:08 - Download an example GPX file 02:33 - Adding GPX files to QGIS 04:16 - Styling GPX layers 05:16 - Using Attribute Tables 07:15 - Labeling features 09:47 - Downloading GPX files from Strava 11:18 - Outro - GPX Example File: https://www.topografix.com/fells_loop.gpx - GPX Format: https://www.topografix.com/gpx.asp - Strava: https://www.strava.com - Working With GPX Files in QGIS - Part 2: https://youtu.be/CKt1oqcNkdg --- Buy me a Coffee: https://ko-fi.com/lostmapper Mastodon: https://mapstodon.space/@lostmapper Web site: https://lostmapper.com Email: brian@lostmapper.comhttps://video.osgeo.org/videos/embed/7e80cc84-6a82-44f4-88aa-444625aa72c0https://video.osgeo.org/w/mbDn48A2AGMDvFHdRrvXKkhttps://video.osgeo.org/lazy-static/thumbnails/48f2d11b-07d6-4049-a4a5-82771b6bf1ec.jpgWorking with GPX Files in QGIS - Part 2In this video I cover how to download an archive of Strava activities, merge multiple GPX files into one, clip a layer to only the features you want and how to style a layer based on attributes. 00:00 - Intro 00:50 - Downloading your Strava Archive 02:50 - QGIS Project Setup 03:26 - Merging GPX Files 04:13 - Merging GPX Files with GPSBabel 06:49 - Exploring Feature Attributes 07:58 - Merging GPX Files with Batch GPS Importer 11:16 - Merging GPX Files with Lost Mapper Tools 13:24 - Clipping Features 14:33 - Clipping Selected Features 16:34 - Clipping with Geoprocessing Tools 19:34 - Making Temporary Layers Permanent 21:44 - Attribute-based Styling 24:51 - Outro - Strava: https://www.strava.com - GPSBabel: https://www.gpsbabel.org - Batch GPX Importer: http://www.datumhelper.com/products/batch-gps-importer - Lost Mapper Tools: https://tools.lostmapper.com - Working with GPX Files in QGIS - Part 1: https://youtu.be/UgZ3WPIY-Xc --- Buy me a Coffee: https://ko-fi.com/lostmapper Mastodon: https://mapstodon.space/@lostmapper Web site: https://lostmapper.com Email: brian@lostmapper.comhttps://video.osgeo.org/videos/embed/a3733c96-2be3-40be-95df-aad4babb8bc5https://video.osgeo.org/w/rvBstLZxrwHZxu6yFP67tehttps://video.osgeo.org/lazy-static/thumbnails/424f1d07-3f7d-45cf-b649-a08caceb4d86.jpgWorking with Point Layers in QGISIn this video I show you how to create points layers and how to add, edit, move, delete and style points. 00:00 - Intro 00:26 - When to use Point Layers and Points 01:08 - Project Setup 01:42 - Creating a Point Layer 05:16 - Adding Points 10:05 - Adding Attributes 11:54 - Moving Points 13:00 - Deleting Points 13:43 - Using Graduated Symbology 15:05 - Outro - GeoPackage File Format: https://www.geopackage.org --- Buy me a Coffee: https://ko-fi.com/lostmapper Mastodon: https://mapstodon.space/@lostmapper Web site: https://lostmapper.com Email: brian@lostmapper.comhttps://video.osgeo.org/videos/embed/ce96e2fe-663d-4c5f-ba25-679a8d08539bhttps://video.osgeo.org/w/cyngHyHLW9gU5gTGrytET1https://video.osgeo.org/lazy-static/thumbnails/d2bc72c1-79c9-47f0-857a-1c5e661ccf22.jpgWorking with Line Layers in QGISIn this video I show you how to create lines layers and how to add, edit, move, delete and style lines in QGIS. 00:00 - Intro 00:26 - When to use Line Layers and Lines 01:24 - Project Setup 02:22 - Creating Line Layers 04:56 - Adding Lines to a Line Layer 07:00 - Editing Lines 09:39 - Removing & Adding Attributes 12:29 - Styling Lines by Category 14:18 - Deleting Line Features 15:11 - Outro --- Buy me a Coffee: https://ko-fi.com/lostmapper Mastodon: https://mapstodon.space/@lostmapper Web site: https://lostmapper.com Email: brian@lostmapper.comhttps://video.osgeo.org/videos/embed/5d996f42-41e3-42d4-b632-f114dd59f03ehttps://video.osgeo.org/w/aXR6PpGH3gexgDtb7rjWythttps://video.osgeo.org/lazy-static/thumbnails/4d27d74a-48fa-4a2f-b448-9cc7574f8ab7.jpgWorking with Polygon Layers in QGISLearn how to create Polygon Layers and how to add, edit, move, delete and style Polygons in QGIS. I also go over Snapping and Topological Editing. 00:00 - Intro 00:30 - When to use Polygon Layers and Polygons 01:22 - Project Setup 01:32 - Creating a Polygon Layer 03:22 - Adding Polygons to a Polygon Layer 05:42 - Editing Polygons 06:55 - Adding Holes (Rings) to Polygons 07:52 - Editing Rings 08:35 - Filling Rings 10:10 - Snapping & Topological Editing 12:08 - Reshaping Polygons 13:54 - Snapping Vertices 15:59 - Styling Polygons 17:35 - Outro --- Buy me a Coffee: https://ko-fi.com/lostmapper Mastodon: https://mapstodon.space/@lostmapper Web site: https://lostmapper.com Email: brian@lostmapper.comhttps://video.osgeo.org/videos/embed/50ae6a17-be4b-4486-ba6c-10725bd4c513https://video.osgeo.org/w/q6EN9meEuk6EZZMUS16JEDhttps://video.osgeo.org/lazy-static/thumbnails/dff8df17-07c8-4661-8b31-84275c719fe5.jpgWorking with Multipart Features in QGISIn this video I’ll be showing you how to create and edit multipart features in QGIS. We’ll be covering multipart polygons, lines and points. 00:00 - Intro 00:09 - Overview 00:19 - Using QGIS 3.28 LTR 00:46 - What is a MultiPart Feature? 01:01 - Multipart Polygons 04:04 - Multipart Lines 04:53 - Multipart Points 05:40 - Enabling the Advanced Digitizing Toolbar 06:02 - Creating MultiPolygon Layers 07:47 - Adding Parts to a MultiPolygon Feature 09:49 - Creating MultiLine Layers 11:26 - Adding Parts to a MultiLine Feature 12:19 - Creating MultiPoint Layers 13:14 - Adding Parts to MultiPoint Feature 14:25 - Deleting Parts from a Multipart Feature 15:12 - Splitting Parts in a Multipart Feature 16:14 - Converting Multipart Layers to Singlepart Layers 18:51 - Outro - Unofficial QGIS Discord Server - https://discord.gg/9eA7P6U - US States and Territories Shapefile - https://www.weather.gov/gis/USStates - Shapefile must die! - http://switchfromshapefile.org - 3 Ways to Convert Singlepart Layers to Multipart Layers in QGIS: https://youtu.be/Unh064Y8x3Y --- Buy me a Coffee: https://ko-fi.com/lostmapper Mastodon: https://mapstodon.space/@lostmapper Web site: https://lostmapper.com Email: brian@lostmapper.comhttps://video.osgeo.org/videos/embed/c325f48f-c381-40a4-b020-5d5dc3601d31https://video.osgeo.org/w/cqEYeW3ouE4NeetqmoDD4Uhttps://video.osgeo.org/lazy-static/thumbnails/9dcbb669-ed57-4cbc-a650-57f475594ba8.jpg3 Ways to Convert Singlepart Layers to Multipart Layers in QGISLearn how to convert Singlepart Layers to Multipart Layers using Promote to Multipart, Collect Geometries and Aggregate in QGIS 00:00 - Intro 00:09 - Overview 00:47 - Project Setup 02:10 - Method 1: Promote to Multipart 03:28 - Method 2: Collect Geometries 05:17 - Method 3: Aggregate 08:52 - Outro - US States and Territories Shapefile - https://www.weather.gov/gis/USStates - Working with Multipart Layers in QGIS: https://www.youtube.com/watch?v=Gkc2s0dBwY8 --- Buy me a Coffee: https://ko-fi.com/lostmapper Mastodon: https://mapstodon.space/@lostmapper Web site: https://lostmapper.com Email: brian@lostmapper.comhttps://video.osgeo.org/videos/embed/5c866442-de49-4dd2-9d56-1c3a83965f3ehttps://video.osgeo.org/w/71QAeqJhK1by18fYiYYc5Rhttps://video.osgeo.org/lazy-static/thumbnails/d1b11f6e-378c-47ee-8c3c-725d388267ef.jpg30 Day Map Challenge 2023: Day 1 - PointsEager to participate in the #30DayMapChallenge but have limited time? Follow this video and learn how to make a Point map of California National Parks using QGIS in under 20 minutes. Pick your own state and show me what you made! - https://30daymapchallenge.com/ - https://public-nps.opendata.arcgis.com/search?collection=Dataset&q=boundaries - https://www.census.gov/geographies/mapping-files/time-series/geo/carto-boundary-file.html --- Buy me a Coffee: https://ko-fi.com/lostmapper Mastodon: https://mapstodon.space/@lostmapper Web site: https://lostmapper.com Email: brian@lostmapper.comhttps://video.osgeo.org/videos/embed/30b4c6d8-0119-48bd-9017-d1103b90bd85https://video.osgeo.org/w/b6p8xAdMRy9GsUuaza9QXqhttps://video.osgeo.org/lazy-static/thumbnails/05837114-2aa1-441f-b055-e5a289329503.jpg30 Day Map Challenge 2023: Day 2 - LinesToday’s theme is Lines and I show you how to make a map of the Longest US Interstates in under 14 minutes with QGIS. I use things like Collect Geometries, Layer Filters, Field Calculator and Map Legends. - https://30daymapchallenge.com/ - https://catalog.data.gov/dataset/tiger-line-shapefile-2019-nation-u-s-primary-roads-national-shapefile - https://www.weather.gov/gis/USStates --- Buy me a Coffee: https://ko-fi.com/lostmapper Mastodon: https://mapstodon.space/@lostmapper Web site: https://lostmapper.com Email: brian@lostmapper.comhttps://video.osgeo.org/videos/embed/51bc5c20-5496-4c29-99ff-dab2b23d29fehttps://video.osgeo.org/w/fmbzYt1Ur7PtKZHeJZNp2whttps://video.osgeo.org/lazy-static/thumbnails/c3dd8fa2-7b53-4932-bb70-4582fb1cb2bb.jpg30 Day Map Challenge 2023: Day 3 - PolygonsThe theme for Day 3 of the #30daymapchallenge is Polygons! In this video I show you how to make a map of postal codes and use Graduated Symbology to represent their attributes. - https://30daymapchallenge.com/ - https://data-algeohub.opendata.arcgis.com/search?groupIds=f9d89eb1c7c64ed39ab92c2e541369c4&type=feature%20layer --- Buy me a Coffee: https://ko-fi.com/lostmapper Mastodon: https://mapstodon.space/@lostmapper Web site: https://lostmapper.com Email: brian@lostmapper.comhttps://video.osgeo.org/videos/embed/74315720-8f80-4860-86ea-4bc59462b154https://video.osgeo.org/w/7pnurbbZEzYoy5rYiNcmNLhttps://video.osgeo.org/lazy-static/thumbnails/4401e30e-1805-48dc-aea7-5e18f5ce23cf.jpg30 Day Map Challenge 2023: Day 4 - A Bad MapIn this video I use a lot of drop shadows and fight the urge to make improvements to a map. It's Day 4 of the #30daymapchallenge - make a bad map! - https://30daymapchallenge.com/ - https://en.wikipedia.org/wiki/Big_Audio_Dynamite --- Buy me a Coffee: https://ko-fi.com/lostmapper Mastodon: https://mapstodon.space/@lostmapper Web site: https://lostmapper.com Email: brian@lostmapper.comhttps://video.osgeo.org/videos/embed/33da2eb8-7a7b-4e7b-af15-ea403a132a20https://video.osgeo.org/w/eZ8XrYTGY5rSyM2hza984Xhttps://video.osgeo.org/lazy-static/thumbnails/9cf2919e-8af1-4380-a0df-3b66c4119415.jpg30 Day Map Challenge 2023: Day 5 - AnalogI take an alternate definition of the word "analog" and make a map of the real world locations found in the game #Fallout76 for #30daymapchallenge. I use an Expression to get a two-line label and a Raster Image Marker to put screenshots of the game next to those labels. - https://30daymapchallenge.com/ - https://wvtourism.com/insiders-guide-to-real-world-wv-locations-in-fallout-76/ - https://www.weather.gov/gis/USStates - https://catalog.data.gov/dataset/tiger-line-shapefile-2019-nation-u-s-primary-roads-national-shapefile - https://fallout.fandom.com/wiki/Category:Fallout_76_locations --- Buy me a Coffee: https://ko-fi.com/lostmapper Mastodon: https://mapstodon.space/@lostmapper Web site: https://lostmapper.com Email: brian@lostmapper.comhttps://video.osgeo.org/videos/embed/714119bc-3c28-497e-95d7-86b7e37478d1https://video.osgeo.org/w/tD7sEot4hGFPe5yKUF8MQahttps://video.osgeo.org/lazy-static/thumbnails/68fe9267-de37-4c5f-8a0b-cd3fa78249fc.jpg30 Day Map Challenge 2023: Day 6 - AsiaLet's make a map of the 10 most populated places in Asia using Natural Earth data for Day 6 of the #30daymapchallenge. We'll duplicate layers and style them differently, filter data, dissolve a bunch of countries together for a nice shadow and make a full size layout to top it all off - all in #QGIS! - https://30daymapchallenge.com/ - https://www.naturalearthdata.com --- Buy me a Coffee: https://ko-fi.com/lostmapper Mastodon: https://mapstodon.space/@lostmapper Web site: https://lostmapper.com Email: brian@lostmapper.comhttps://video.osgeo.org/videos/embed/dfd53e86-130b-4372-b12c-ff3bfe01da05https://video.osgeo.org/w/s84joXmKezLtXZCz2bmFb2https://video.osgeo.org/lazy-static/thumbnails/72ed369f-f688-4a11-9b27-7ba5e19540ba.jpg30 Day Map Challenge 2023: Day 7 - NavigationFor #30daymapchallenge Day 7 (Navigation) I’m revisiting adding images to Labels and make a map of businesses in my town. This time I use a Geometry Generator for better positioning control and the Blob type to store images as Feature Attributes. #QGIS for the win! - https://30daymapchallenge.com/ - https://www.mentonealabama.gov - Mentone Inn Photo by Brad Lackey: https://www.lookoutphoto.com - https://gis.stackexchange.com/questions/469661/setting-a-layers-raster-image-marker-x-y-location-based-on-the-x-y-coordinates - https://gis.stackexchange.com/questions/367296/how-to-display-image-from-sqlite-database-at-each-point-qgis Geometry Generator Expression: make_point("auxiliary_storage_labeling_positionx", "auxiliary_storage_labeling_positiony") Raster Image Expression: 'base64:'||to_base64("image") --- Buy me a Coffee: https://ko-fi.com/lostmapper Mastodon: https://mapstodon.space/@lostmapper Web site: https://lostmapper.com Email: brian@lostmapper.comhttps://video.osgeo.org/videos/embed/d389db17-80a2-416f-b7e9-992b2b8b9961https://video.osgeo.org/w/3qXHTCsY5ZbeR5mUYy3kMUhttps://video.osgeo.org/lazy-static/thumbnails/55913ba9-5d6c-4a88-b008-17b0ea694fcf.jpg30 Day Map Challenge 2023: Day 8 - AfricaLearn how to use Balloon Callouts and synchronize Symbology/Label coloring in #QGIS. That’s right - it’s Day 8 of #30daymapchallenge and we’re mapping western African countries for fun and learning! - https://30daymapchallenge.com/ - https://www.naturalearthdata.com --- Buy me a Coffee: https://ko-fi.com/lostmapper Mastodon: https://mapstodon.space/@lostmapper Web site: https://lostmapper.com Email: brian@lostmapper.comhttps://video.osgeo.org/videos/embed/13ae77c5-35e4-450e-9963-f4f6d10c3e62https://video.osgeo.org/w/6dkjJ4FNE24yED6sXRDymkhttps://video.osgeo.org/lazy-static/thumbnails/eb9c1b5a-b1b1-443f-b7d9-d8d65e032a96.jpg30 Day Map Challenge 2023: Day 9 - HexagonFor Day 9 of #30daymapchallenge we're collecting point data into a hexagon grid and styling it based on the number points using #qgis. - https://30daymapchallenge.com/ - https://www.naturalearthdata.com --- Buy me a Coffee: https://ko-fi.com/lostmapper Mastodon: https://mapstodon.space/@lostmapper Web site: https://lostmapper.com Email: brian@lostmapper.comhttps://video.osgeo.org/videos/embed/2a3686d3-c1cd-4187-b2f3-79820c7ad653https://video.osgeo.org/w/7w9PcpQZrNqN8nnbWFXZ8Hhttps://video.osgeo.org/lazy-static/thumbnails/91d4701c-fd1c-4fba-a90f-e1c6e477be9b.jpg30 Day Map Challenge 2023: Day 10 - North America (Livestream)Today I livestreamed on Windows! I used #QGIS to create a map of the countries & sovereignties that make up the Caribbean Sea. Lots of data filtering, labels using expressions, customized callouts, layout struggles and pronunciation learning in this one. #30daymapchallenge - https://30daymapchallenge.com/ - https://www.naturalearthdata.com --- Buy me a Coffee: https://ko-fi.com/lostmapper Mastodon: https://mapstodon.space/@lostmapper Web site: https://lostmapper.com Email: brian@lostmapper.comhttps://video.osgeo.org/videos/embed/34cc93a3-cfcc-4580-a8ef-704da90e588bhttps://video.osgeo.org/w/dCTFNcMDRF6WG3GNAZC9Mrhttps://video.osgeo.org/lazy-static/thumbnails/918c9592-d6d0-4143-8a71-dfe49d9e06b8.jpg30 Day Map Challenge 2023: Day 11 - RetroIt's Day 11 of #30daymapchallenge and the theme is "Retro". In this video I show you how to make a map like the ones featured in the 80s classic "WarGames" using #QGIS. That means lots of glowing lines, simple geometric symbols, console fonts and secret military data! Or maybe just public military data... - https://30daymapchallenge.com/ - https://www.youtube.com/watch?v=ijVEvzTzlNo - https://www.naturalearthdata.com - https://www.census.gov/geographies/mapping-files/time-series/geo/carto-boundary-file.html - https://www.arcgis.com/home/item.html?id=9df5e769bfe8412b8de36a2e618c7672 - https://public.opendatasoft.com/explore/dataset/military-bases/information/ --- Buy me a Coffee: https://ko-fi.com/lostmapper Mastodon: https://mapstodon.space/@lostmapper Web site: https://lostmapper.com Email: brian@lostmapper.comhttps://video.osgeo.org/videos/embed/66544ad8-245a-47be-a3dc-8753fde34e5bhttps://video.osgeo.org/w/uXFwbLxvyQqVdnmEwPXXwxhttps://video.osgeo.org/lazy-static/thumbnails/eb10d340-d2f7-4a02-8b40-79ec9147a492.jpg30 Day Map Challenge 2023: Day 12 - South AmericaIt's #30daymapchallenge Day 12 - South America and we're making a map of the continent using the flags of each country. France also makes an appearance. - https://30daymapchallenge.com/ - https://www.naturalearthdata.com - https://en.wikipedia.org/wiki/South_America - https://en.wikipedia.org/wiki/French_Guiana --- Buy me a Coffee: https://ko-fi.com/lostmapper Mastodon: https://mapstodon.space/@lostmapper Web site: https://lostmapper.com Email: brian@lostmapper.comhttps://video.osgeo.org/videos/embed/ea862529-b4bc-4bee-8be3-2c525d69076fhttps://video.osgeo.org/w/6LUq3GwHiESkhJ5VjyFzmJhttps://video.osgeo.org/lazy-static/thumbnails/14ebb261-b293-4adc-96d3-6e7573b5808e.jpg30 Day Map Challenge 2023: Day 13 - ChoroplethFor Day 13 - Choropleth I take the map we made on Day 3 - Polygons and improve it using advice from the book "Making Maps". #30daymapchallenge - https://30daymapchallenge.com/ - https://www.guilford.com/books/Making-Maps/Krygier-Wood/9781462509980 --- Buy me a Coffee: https://ko-fi.com/lostmapper Mastodon: https://mapstodon.space/@lostmapper Web site: https://lostmapper.com Email: brian@lostmapper.comhttps://video.osgeo.org/videos/embed/2ec2b887-cad4-4fa4-a767-caa05a6a14eehttps://video.osgeo.org/w/vhsySzBjgdQhPZYTeMmcW5https://video.osgeo.org/lazy-static/thumbnails/e656c320-5de0-4ef1-b21e-74cb294d2236.jpg30 Day Map Challenge 2023: Day 15 - OpenStreetMapWe’re working with OpenStreetmap for Day 15 of the #30daymapchallenge. We’ll learn how to use the QuickOSM plugin for #QGIS to download data and then style that data similarly to the OpenStreetMap tiles. Happy #GISDay!https://video.osgeo.org/videos/embed/ed254b36-f028-4c9c-b8e5-5f824a13569chttps://video.osgeo.org/w/pxcBCc4oHhAZvUi9NdWxXfhttps://video.osgeo.org/lazy-static/thumbnails/5839de7e-4cc6-4449-b444-3e08d20f8981.jpgGetting Started with PostGIS in QGIS on macOSThis video will get you up and running with #PostGIS in #QGIS. I show you how to install a convenient version of PostGIS, connect to it through QGIS, create tables and import data from a #Shapefile. 0:00 - Intro 0:25 - What is PostGIS? 0:48 - Installing Postgres.app 2:27 - Enabling PostGIS Extensions in PostgreSQL 4:17 - Connecting to PostGIS from QGIS 5:02 - Creating Schemas and Tables in PostGIS 6:13 - Adding Data to a PostGIS Table/Layer 7:03 - Importing Data into PostGIS 9:50 - Summary and Suggested Books - https://www.postgresql.org/ - https://postgis.net/ - https://postgresapp.com/ - https://www.weather.gov/gis/USStates --- Buy me a Coffee: https://ko-fi.com/lostmapper Mastodon: https://mapstodon.space/@lostmapper Web site: https://lostmapper.com Email: brian@lostmapper.comhttps://video.osgeo.org/videos/embed/be9d674f-a15d-4315-8d34-e14c33b3a650https://video.osgeo.org/w/bRrjXpTBKLWN17LNHj7LXqhttps://video.osgeo.org/lazy-static/thumbnails/a9c41fb0-a5f8-444c-9b65-f4ac0bea314e.jpgGetting Started with PostGIS in QGIS on WindowsIn this video we''ll use EnterpriseDB and StackBuilder to get you up and running with #PostGIS on Windows. Then we'll connect to PostGIS from QGIS and make a table! 0:00 - Intro 0:18 - Installing PostgreSQL 1:38 - Enabling PostGIS with StackBuilder 3:05 - Creating a Database User 4:40 - Connecting to PostGIS from QGIS 6:40 - Connecting to PostGIS with pgAdmin - https://www.enterprisedb.com --- Buy me a Coffee: https://ko-fi.com/lostmapper Mastodon: https://mapstodon.space/@lostmapper Web site: https://lostmapper.com Email: brian@lostmapper.comhttps://video.osgeo.org/videos/embed/57e27085-6352-43e6-b64a-c29c1dcda8eehttps://video.osgeo.org/w/9cZiX3fMCtpPwhZgRw3oqahttps://video.osgeo.org/lazy-static/thumbnails/10c9313a-610f-4bf9-a7f4-11884f31668a.jpgRunning PostGIS with Docker on Windows, Mac & LinuxLearn how to run #postgis on Windows, Mac and Linux using #docker & Docker Compose, then connect with #qgis to create tables and layers! 0:00 - Intro 0:22 - What is Docker? 0:52 - Installing Docker 1:21 - Docker Compose Configuration 4:42 - Starting PostGIS with Docker Compose 5:38 - Connecting to PostGIS from QGIS 7:08 - Hiding ID Fields 7:48 - Stopping PostGIS with Docker Compose 8:40 - Outro - https://www.docker.com - https://github.com/postgis/docker-postgis - https://wiki.osgeo.org/wiki/DockerImages - https://github.com/lostmapper/postgis-dockerized --- Buy me a Coffee: https://ko-fi.com/lostmapper Mastodon: https://mapstodon.space/@lostmapper Web site: https://lostmapper.com Email: brian@lostmapper.comhttps://video.osgeo.org/videos/embed/42759be4-f4c9-45e5-bd98-96a396d45aa1https://video.osgeo.org/w/i9ttYLvusKZ835n2Ja7keRhttps://video.osgeo.org/lazy-static/thumbnails/dd3df1df-63ea-4012-83d3-700a0eaacdd6.jpgpr-2599-driving-distance-cleanupThought and development process for pull request [#2955](https://github.com/pgRouting/pgrouting/pull/2599)https://video.osgeo.org/videos/embed/8ada3e77-29b9-4481-9767-7a099eea2a4fhttps://video.osgeo.org/w/71jdfG2UuGBpZj5EiA2wy9https://video.osgeo.org/lazy-static/thumbnails/9a38d430-89b5-442e-b36a-456d670d5466.jpgGiro3D app demoThis video showcases Giro3D-app, an application for 3D web visualization of Geospatial data. It supports multiple data types, including BIM data such as IFC files.https://video.osgeo.org/videos/embed/30a20e17-be50-46db-a632-f2aa0e029ee8https://video.osgeo.org/w/473r4EfDrwkZA2e2tBU5Mvhttps://video.osgeo.org/lazy-static/thumbnails/d04e0400-a9bd-49c3-88c2-4dad42e8d28c.jpgpr-2606-standarizing-output-spanningTree-functionsReview of PR 2606 * analyzing commit by commit * Q&A with participantshttps://video.osgeo.org/videos/embed/192360a0-78d7-4420-99ca-b79759393fcfhttps://video.osgeo.org/w/kwLPEWg3RZfvBdzVWPRQ3Jhttps://video.osgeo.org/lazy-static/thumbnails/f433fac7-9246-4659-b796-215a9448d153.jpgpr-2607-read-postgresql-data-on-cppReview of PR [2607](https://github.com/pgRouting/pgrouting/pull/2607) - Explanation of the current code - Reviewing commit by commit - Things done before moving code from C to CPP - By directory move the code from C to CPPhttps://video.osgeo.org/videos/embed/9e2991f3-f650-4056-8f74-ad253c318276https://video.osgeo.org/w/kxPWpDguTNsq4SV8sfEa4mhttps://video.osgeo.org/lazy-static/thumbnails/17b3e241-6523-4104-a895-4abfdc6866db.jpgPiero - Fully-configurable open-source web application for BIM/GIS 3D visualization.Piero is a free and open-source collaborative web application to visualize 2D and 3D geospatial data, such as basemaps, terrain, BIM (building information model) and many other data sources.https://video.osgeo.org/videos/embed/9e4f3bfa-76ed-4f20-a848-0f0a3a2a6a56https://video.osgeo.org/w/xjTeSqhRYuKoXGLnVzKsE4https://video.osgeo.org/lazy-static/thumbnails/1e00b0e5-81e3-44b8-a229-15a906fc255e.jpgCalcul d'itinéraire avec indoorGMLNous avons réalisé un POC de calcul d'itinéraire, ayant pour objectif de déterminer le trajet le plus rapide entre deux points à l'intérieur d'un environnement complexe. Pour cela, nous avons utilisé le standard indoorGML.https://video.osgeo.org/videos/embed/fdae4378-32b0-4344-bc7c-6ef444ba6b6fhttps://video.osgeo.org/w/mX8bifwLFj5MuBeethoELRhttps://video.osgeo.org/lazy-static/thumbnails/54f400fe-a54a-421d-b8d4-a99bf9b5c7bd.jpg3D Building reconstruction from PointCloudsThis video showcases our 3D reconstruction data pipeline, allowing to reconstruct 3D geometries of buildings from PointCloud data. It leverages various opensource software components. This video presents work achieved thanks to support from the France Relance fund.https://video.osgeo.org/videos/embed/a9a91a97-0806-4df4-b739-b8aa43abde91https://video.osgeo.org/w/dcDi1ehPtfFRYa3CMXJEkahttps://video.osgeo.org/lazy-static/thumbnails/dde709e4-0948-416c-b1cc-566e3bf602f0.jpgnoWANland_2020noWANland_2020https://video.osgeo.org/videos/embed/62cdd3ff-e5c2-4753-8b0c-e4b316d4a8cfhttps://video.osgeo.org/w/mg3YLvwYFmJ9cQyMgpnes7https://video.osgeo.org/lazy-static/thumbnails/e5e7c82f-bd03-4e3c-bde7-f632c9f4a059.jpgNISAR_LaunchAndDeploy_JPLCL_2020Launch and Deploy Animation of the NASA-ISRO SAR (NISAR) spacecraft https://nisar.jpl.nasa.gov/mission/quick-facts/ ©2020 California Institute of Technology, US Federal Government Sponsorship This work was sponsored by NASA. therefore one may use NASA imagery, video and audio material for educational or informational purposes, including photo collections, textbooks, public exhibits, and Internet web pages.https://video.osgeo.org/videos/embed/a410c3f5-c096-4231-997e-33354ad4ae16https://video.osgeo.org/w/7hqknneRbHmFm3ibmed7zHhttps://video.osgeo.org/lazy-static/thumbnails/5691d14b-ee88-4b9b-8e87-5bdea0684b6c.jpgweblate-osgeoliveTranslating with weblate basics. Focus on [OSGeoLive in Weblate](https://weblate.osgeo.org/projects/osgeolive) - Different checks and how to fix them - OSGeoLive: - OSGeoLive quickstarts: Are about OSGeoLive, please do them first - Overviews: In general, are smaller - Quickstarts: In general, are larger Questions? Ask them in [discourse](https://discourse.osgeo.org/c/osgeolive/7) You will need to register to discourse. - If you have, use your OSGeo ID to register https://video.osgeo.org/videos/embed/32e1ba85-a635-4acc-ae76-1794d05951abhttps://video.osgeo.org/w/f84KbRrE3gpah5k84as6jQhttps://video.osgeo.org/lazy-static/thumbnails/3eb6ab03-7023-4e09-aad5-02fca15f999b.jpgRétrospective 2023 des contributions sur le dépôt du site GeotribuVidéo réalisée avec le logiciel [Gource](https://gource.io) à partir de l'historique Git du dépôt <https://github.com/geotribu/website> en suivant le tutoriel <https://contribuer.geotribu.fr/internal/video_contributions_gource/>. Merci aux personnes ayant contribué en 2023 : - Julien Moura - Florian Boret - Guilhem Allaman - Nicolas David - Florent Fougères - Delphine Montagne - Quy Thy Truong - Aurélien Chaumet - Mathilde Ferrey - Gabriel Poujol - Arnaud Vandecasteele - Maël Reboux - Jérémy Garniaux - Jérémie Hanke - Loïc Bartoletti - Michaël Galien - Yann Chambon - Benoît Blanc - Christian Quest - Jérémie Prud'homme - Olivia Guyot - Pierre-François Blin https://video.osgeo.org/videos/embed/725c7490-2c2e-44e7-8afe-624c1f6ac7b8https://video.osgeo.org/w/bJooU6xBDQWmGJJswPE9Cdhttps://video.osgeo.org/lazy-static/thumbnails/e5d6d5f0-94d3-46a5-91c7-9cc8b6e7582a.jpgRétrospective 2023 des contributions sur le dépôt du site Geotribu (version brute sans musique)Rétrospective 2023 des contributions sur le dépôt du site Geotribu (version brute sans musique)https://video.osgeo.org/videos/embed/56e66d1c-fde3-4ff8-86c6-5ca8b0ea9774https://video.osgeo.org/w/d4eBqUHsS9JVohdhSbd77whttps://video.osgeo.org/lazy-static/thumbnails/079c9d02-292e-40f7-ba7c-f36d51ab4686.jpgQGIS 3 - Easter EggsJoyeuse Pâques sur QGIS - À la découverte de easter-eggs dissimulés dans le widget de saisie des coordonnées. Vidéo réalisée dans le cadre de l'article : [Quand QGIS nous régale d'Easter eggs](https://geotribu.fr/articles/2022/2022-04-18_easter_eggs_qgis_regale/)https://video.osgeo.org/videos/embed/61a14880-d728-4c01-ba73-681cb7ba7812https://video.osgeo.org/w/ezbnkuxFrzkogFMHapnXnxhttps://video.osgeo.org/lazy-static/thumbnails/0fccf533-7cfe-4d73-84fc-c532c51d818b.jpgPrésentation de Geotribu sur la chaîne Twitch des Reclus aux ConfinsPrésentation du projet Geotribu par Florian Boret sur l'émission Twitch "Les Reclus aux Confins". En savoir plus sur Geotribu : <https://geotribu.fr/team/>.https://video.osgeo.org/videos/embed/6de8bc85-89e9-4b82-bbf6-5cbc2b2691b5https://video.osgeo.org/w/vtDJiF25DPAVsrfP1kwpB1https://video.osgeo.org/lazy-static/thumbnails/007b71d5-e8b4-4d0e-a066-cc382817662f.jpgPointcloud deformation / resetting using giro3dThis video shows the deformation feature of giro3d, allowing to reset a pointcloud according to a reference for instance.https://video.osgeo.org/videos/embed/eeb55ac0-1276-48ee-8c1a-4c6ee644a8cahttps://video.osgeo.org/w/ggiCPR9Se7hkkWQtLaxaiXhttps://video.osgeo.org/lazy-static/thumbnails/2ea7b77f-312a-401b-9b0b-cefbe796f342.jpgGiro3D - Globe infinite zoomGiro3D - Globe infinite zoomhttps://video.osgeo.org/videos/embed/7b9c1ab6-c19b-48ad-ac2c-a6efc877c2fdhttps://video.osgeo.org/w/8qcAaa6wWNxFhNzvXszfc8https://video.osgeo.org/lazy-static/thumbnails/15a199a9-774a-4fcc-b3c6-a65ad3dea9b7.jpgFOSS4G 2022 | Photogrammetric processing and fruition of products in open-source environment…Photogrammetric processing and fruition of products in open-source environment applied to the case study of the Archaeological Park of Pompeii Photogrammetric processing and fruition of products in open-source environment applied to the case study of the Archaeological Park of Pompeii The geomatic strategy for the survey campaign, data processing and product fruition in an archaeological context is presented and discussed. The case study is the Domus V situated in the Archaeological Park of Pompeii (Regio VII, Insula 14), which was surveyed in September 2020 by the Geomatics Laboratory of Genoa University in collaboration with the archaeologist group of the same University, under the ministerial concession DG 553 Class 34.31.07/246.7 of 26 January 2016 and its renewal on 9 April 2019 (34.31.07/3.4.7/2018). The survey campaign involved the following integrated geomatic techniques: - UAV photogrammetry, performed with DJI Mavic 2 Pro. The shooting geometry was nadiral with two different altitudes of 40 m and 15 m. An additional survey with a tilting angle of 45° at a flight altitude of 15 m was performed along concentric paths around the site. The UAV dataset is composed of 1400 images. The photogrammetric surveys are framed thanks to temporary Ground Control Points (GCPs), surveyed with GNSS in Network Real Time Kinematic (NRTK) positioning strategy. - Terrestrial photogrammetry, 7000 images of the internal vertical walls were taken with a Canon Eos 40D camera at a shooting distance of about 2 m following a bottom-to-top trajectory. - Terrestrial laser scanning, using the Z+F 5006h phase difference instrument. The integrated survey allowed to move from a general view of the entire site to an increasingly detailed one, mainly aimed at the vertical walls, thanks to the global framing provided by the UAV survey. The UAV and terrestrial photogrammetry campaigns were processed through the open-source software MicMac [1] to create the dense point clouds, and CloudCompa...https://video.osgeo.org/videos/embed/3c10f689-34fa-401d-9c24-6fe194716465https://video.osgeo.org/w/6zqADp2GniLnhgMD74ukoahttps://video.osgeo.org/lazy-static/thumbnails/448aff50-1075-4d68-bda3-5a8b852a62b7.jpgFOSS4G 2022 | Landslide susceptibility assessment: soil moisture monitoring data processed by an…Landslide susceptibility assessment: soil moisture monitoring data processed by an automatic procedure in GIS for 3D description of the soil shear strength Landslide susceptibility assessment: soil moisture monitoring data processed by an automatic procedure in GIS for 3D description of the soil shear strength Slope stability is strongly influenced by soil hydraulic conditions, affected by the meteoric events to which the site is subject. With particular reference to shallow landslides triggered by rainfalls, the stability conditions can be influenced by the propagation of the saturation front inside the unsaturated zone. The soil shear strength varies in the vadose zone depending on the type of soil and the variations of soil moisture. In general, monitoring of the unsaturated zone can be done by measuring suction and/or water content. The measurement of the volumetric water content can be performed using low-cost instrumentation, such as the Waterscout SM100 capacitive sensors (Spectrum Tec.), distributed over the study areas. Such sensors provide data in near-real time and are relatively easy to install and replace. However, it is essential to perform a site-specific calibration of the instrumentation, since previous work (Bovolenta et al. 2020) has shown that the factory settings lead to a general overestimation of the actual volumetric soil water content. Therefore, following a sampling of the analyzed soil and a specific laboratory procedure, it is necessary to define the calibration curve that allows the transition from raw data, meant as the ratio between sensor output voltage and input voltage, to soil water content. Then, the knowledge of soil water content allows the estimation of the suction parameter, thanks to a Water Retention Curve (WRC), and consequently the definition of the soil shear strength in partly saturated conditions. Several methodologies for landslide susceptibility assessment, based on global Limit Equilibrium (LEM) or Finite Element...https://video.osgeo.org/videos/embed/2d286577-25a7-40b9-be2b-7699b96936c1https://video.osgeo.org/w/miqcpMD5JMeEcMYxToipmqhttps://video.osgeo.org/lazy-static/thumbnails/a1730a8f-69de-425e-a9c3-48f624e96116.jpgFOSS4G 2022 | RINX: A Solution for Information Extraction from Big Raster DatasetsProcessing Earth observation data modeled in a time-series of raster format is critical to solving some of the most complex problems in geospatial science ranging from climate change to public health. Researchers are increasingly working with these large raster datasets that are often terabytes in size. At this scale, traditional GIS methods may fail to handle this processing and new approaches are needed to analyze these datasets. The objective of this work is to develop methods to interactively analyze big raster datasets with the goal of most efficiently extracting vector data over specific time periods from any set of raster data. In this paper, we describe RINX (Raster INformation eXtraction) which is an end-to-end solution for automatic extraction of information from large rasters datasets. RINX heavily utilizes open source geospatial techniques for information extraction. It also complements the traditional approaches with state-of-the-art high-performance computing techniques. This paper will discuss details of achieving this big temporal data extraction including methods used, code developed, processing time statistics, project conclusions, and next steps. The input for RINX is a set of rasters from which the information has to be extracted and a set of data point locations for which the information needs to be extracted. The output for RINX is a structured representation of extracted information from the raster datasets for each data point in CSV text format. The loading and pre-processing of the input datasets to RINX is accomplished using a combination of Bash and SQL scripting techniques for automation. This pre-processed input is then fed into the open source spatial database PostGIS to extract the required information by using multiple spatial techniques. Finally, the extracted output is post-processed for deduplication and standardization of extracted information for research use. RINX is designed in a way that makes it easy to deploy and scale on...https://video.osgeo.org/videos/embed/a465543c-c272-455c-a01a-9e23e3e3c684https://video.osgeo.org/w/crxab93vmaeTS89GTRnTz9https://video.osgeo.org/lazy-static/thumbnails/4ce61b4d-240b-488e-85d8-bb0bf7a87a8a.jpgFOSS4G 2022 | Exploring jittering and routing options for converting origin-destination data into…Exploring jittering and routing options for converting origin-destination data into route networks: towards accurate estimates of movement at the street level Exploring jittering and routing options for converting origin-destination data into route networks: towards accurate estimates of movement at the street level Introduction Origin-destination (OD) datasets provide information on aggregate travel patterns between zones and geographic entities. OD datasets are ‘implicitly geographic’, containing identification codes of the geographic objects from which trips start and end. A common approach to converting OD datasets to geographic entities, for example represented using the simple features standard (Open Geospatial Consortium Inc 2011) and saved in file formats such as GeoPackage and GeoJSON, is to represent each OD record as a straight line between zone centroids. This approach to representing OD datasets on the map has been since at least the 1950s (Boyce and Williams 2015) and is still in use today (e.g. Rae 2009). Beyond simply visualising aggregate travel patterns, centroid-based geographic desire lines are also used as the basis of many transport modelling processes. The following steps can be used to convert OD datasets into route networks, in a process that can generate nationally scalable results (Morgan and Lovelace 2020): ``` OD data converted into centroid-based geographic desire lines Calculation of routes for each desire line, with start and end points at zone centroids Aggregation of routes into route networks, with values on each segment representing the total amount of travel (‘flow’) on that part of the network, using functions such as overline() in the open source R package stplanr (Lovelace and Ellison 2018)``` This approach is tried and tested. The OD -＞ desire line -＞ route -＞ route network processing pipeline forms the basis of the route network results in the Propensity to Cycle Tool, an open source and publicly available map-based web ...https://video.osgeo.org/videos/embed/5ca55248-df28-4a18-92bc-8bb603d486e6https://video.osgeo.org/w/5pLCCCPwbqD8VPJwNA9HLwhttps://video.osgeo.org/lazy-static/thumbnails/f5734316-8222-45b3-8ee4-1928d2d7f681.jpgFOSS4G 2022 | Laying the foundation for an artificial neural network for photogrammetric riverine…Laying the foundation for an artificial neural network for photogrammetric riverine bathymetry Laying the foundation for an artificial neural network for photogrammetric riverine bathymetry The submerged topography of rivers is a crucial variable in fluvial processes and hydrodynamics models. Fluvial bathymetry is traditionally realised through echo sounders embedded on vessels or total stations and GNSS receivers whether the surveyed riverbeds are small streams or dry. Besides being time-consuming and often spatially limited, traditional riverine bathymetry is strongly constrained by currents and deep waters. In such a scenario, remote sensing techniques have progressively complemented traditional bathymetry providing high-resolution information. To date, the peak of innovation for bathymetry has been reached with the use of optical sensors on uncrewed aerial vehicles (UAV) systems, along with green lidars (Vélez-Nicolás et al., 2021). The main obstacle in optical-derived bathymetry is the refraction of the light passing the atmosphere-water interface. The refraction distorts the photogrammetric scene reconstruction, causing in-water measures to be underestimated (i.e., shallower than reality). To correct these distortions, radiometric-based methods are frequently applied. They are focused on the spectral response of the means crossed by the light and are typically built on the theory that the total radiative energy reflected by the water column is function of the water depth (Makboul et al., 2017). The primary goal of the research on submerged topography is to understand the relationship between the water column reflectance and the water depth using statistical and trigonometrical models. The spread of artificial intelligence has given a new light of interest on spectral-based bathymetry by investigating the non-linear and very complex relationship between variables (Mandlburger et al., 2021). To train artificial intelligence models, large amounts of data are ...https://video.osgeo.org/videos/embed/23b62aa2-41dc-480b-bba4-2ea6b616de7ahttps://video.osgeo.org/w/4xeM3G56djuhZZYGQaCkzJhttps://video.osgeo.org/lazy-static/thumbnails/5855b145-f791-4684-8c04-ca9c17311471.jpgFOSS4G 2022 | Who speaks for the forest? Participatory mapping and contested land cover…Who speaks for the forest? Participatory mapping and contested land cover classification in Central Bali, Indonesia Who speaks for the forest? Participatory mapping and contested land cover classification in Central Bali, Indonesia Overview: This presentation will discuss the ongoing effort to map, in unprecedented detail, a forested area in Central Bali, Indonesia, the use and ownership of which is currently a contested question. The presentation will outline the historical and political reasons for the contested nature of the land area under investigation, and then discuss participatory field mapping methods and a collaborative analysis pipeline developed to represent via formal GIS methodologies the land and its use with the needs of different and differing stakeholders in mind. Background: Our research approach is informed by current approaches to community mapping in general [Cochrane2020] and specific to emerging economies, with a particular focus on the conditions in Indonesia [Sulistyawan2018]. In particular, we are studying an area is Central Bali in the vicinity of the Taman Wisata Alam (TWA) Buyan -Tamblingan comprising 1,491 hectare of forest area including Alas Merta Jati [Suryawan2021], part of the Batukaru nature reserve which is estimated to contain sufficient springs to meet Bali’s water needs [Zen, 2019] (Fig. 1). The Alas Merta Jati is contested as it is currently claimed as ancestral lands (or “customary forest”) by the Tamblingan people and at the same time claimed as a state forest by the Indonesian government. While both entities claim to want to protect the forest along fashionable “sustainable” principles [Strauss2015], each entity interprets the responsibilities and benefits of sustainable actions in different ways. Subjecting the area to GIS compliant analysis approaches is one way by which differences and commonalities across stakeholders can become tractable. Collaboration framework : Our work is coordinated and overseen by a local N...https://video.osgeo.org/videos/embed/1ca7f688-7338-4c5a-833b-0b52720f1b80https://video.osgeo.org/w/38Byezk5pxzwkWpVhqV98Xhttps://video.osgeo.org/lazy-static/thumbnails/ccb150ac-c92d-4c0e-8ce3-79d6151b9824.jpgFOSS4G 2022 | Client-side Web Mapping system for vineyard suitability assessmentCurrently, various kinds of geospatial data are provided as open data/or map tile data. This implies that geospatial data have become easier to obtain and use than older data with traditional licenses and formats. By combining map tile data with Web Mapping clients, such as Open Layers and Leaflet, we can browse maps of any location without complicated procedures, i.e., downloading data, transforming coordinate system, extracting area of interest, and installing software. These web mapping technologies have been developed mainly in the field of human interpretation of map images. In addition, there has been the development of technologies for usage of map tiles not only background image of Web Mapping, but also processing and visualizing data in a client-side Web browser. The Geological Survey of Japan (GSJ) has proposed Data PNG and related format (1) for distributing data as map tiles. This format provides data in the PNG format which allows retaining numerical attributes, such as temperature, elevation, and geological classification. It is also possible to develop web applications with good responsiveness to user requests and promote diverse data use (Nishioka, 2019). The GSI published a demonstration site for the Data PNG tile (2) (3). Kitao (2020) developed a Web application for visualizing mapping point cloud data provided as Data PNG. Mapbox Terrain-RGB provides elevation data in PNG format and Mapbox GL JS visualizes these data as a 3D map. These applications were implemented with the capabilities of WebGL. WebGL is a cross-platform, open web standard JavaScript API for 2D and 3D graphics in modern Web browsers that allows the GPU-accelerated usage of image processing without the use of plug-ins. As described above, there are many applications for client-side data visualization using WebGL. However, an implementation of data analysis using WebGL, especially the map algebra function, has not been progressively developed. This paper aims to develop map alge...https://video.osgeo.org/videos/embed/1142654e-4023-44ae-b0ba-063510ef3975https://video.osgeo.org/w/3jzGsmdi1qjq6NkUBgfCGxhttps://video.osgeo.org/lazy-static/thumbnails/8efae43c-8d0c-4cc3-b275-17fa481811ff.jpgFOSS4G 2022 | Development of a graphical user interface to support the semi-automatic semantic…Development of a graphical user interface to support the semi-automatic semantic segmentation of UAS-images Development of a graphical user interface to support the semi-automatic semantic segmentation of UAS-images Image semantic segmentation focuses on the problem of properly separating and classifying different regions in an image depending on their specific meaning or use, e.g. belonging to the same object. It is worth to notice that in general segmentation is a ill posed problem: it is not possible to provide a unique solution to such problem, different solutions can typically be acceptable, depending on the segmentation criterion which is applied. Nevertheless, regularization techniques are typically used to reduce the issues related to ill posedness, hence ensuring the computability of a unique solution. In the case of semantic segmentation, ill posedness is also reduced by the specific data and object interpretation that shall be included in the semantic part of the data. It is also worth to notice that image semantic segmentation tools can be useful in many several applications, related both to the interpretation of images themselves, but also of other entities related to such images. The latter is for instance the case of a point cloud, whose objects and areas are also described by some images. In this case, a proper image semantic segmentation could be back projected from the images to the point cloud, in such a way to exploit such process to properly segment the point cloud itself. Automatic image semantic segmentation is a quite challenging problem that nowadays is usually handled by taking advantage of the use of artificial intelligence tools, such as deep learning based neural networks. The availability of reliable image segmentation datasets plays a key role in the training phase of any artificial intelligence and machine learning tool based on the image analysis: indeed, despite artificial intelligence tools can currently be considered as the st...https://video.osgeo.org/videos/embed/12ca6e97-32c4-46f4-8a74-6b2e66dbb5bfhttps://video.osgeo.org/w/rkFVfCU6SC6sNiWVrjrRZMhttps://video.osgeo.org/lazy-static/thumbnails/d369c49b-4777-45e1-9281-7cf464d47127.jpgFOSS4G 2022 | Developing a privacy-aware map-based cross-platform social media dashboard for…Developing a privacy-aware map-based cross-platform social media dashboard for municipal decision-making Developing a privacy-aware map-based cross-platform social media dashboard for municipal decision-making # Developing a privacy-aware map-based cross-platform social media dashboard for municipal decision-making ## Introduction Users of location-based social media networks (LBSN), such as Instagram, Flickr, or Twitter, have produced an unprecedented base of data over the past decade. According to ILIEVA & MCPHEARSON (2018: 553), "the enormous scale and timely observation are unique advantages of [social media data]" and therefore hold enormous potential for various application purposes such as urban planning, among others. Most notably for Instagram, as one of the largest LBSN, encouraging the sharing of locations when creating content, offers completely new and promising application purposes, through the combination of the spatial component with timestamps and the actual content (image & text). Public social media (SM) data have shown their potential examining the increasingly relevant social problems of Spatial (In-) Justice, spatial (in-) equality and spatial (in-) equity (Cf. SOJA 2013: 47). However, few research attempts were made to make these results available broader in practice and accessible to laypersons in an understandable way. LBSN data could contribute significantly to creating a better information base for municipal decision-making processes, reaching especially younger target groups. Until now, specifically these groups were difficult to reach in common participation processes (Cf. SELLE 2004), while bearing consequences of municipal policies for the longest period of time. Our stated research goal is therefore to provide citizens, laypersons and municipal decision-makers with an unprecedented LBSN Dashboard, as a simple open-source platform for spatial multi-purpose LBSN analysis. ## Problem Statement Such an undertaking raises certain ethic...https://video.osgeo.org/videos/embed/cd3432d4-d3e3-434c-afb5-e89c80dd15e3https://video.osgeo.org/w/41XYJsKWeBFpzu5EPKKxeRhttps://video.osgeo.org/lazy-static/thumbnails/db32decc-6bf5-44a9-8c3c-daba05d9abf5.jpgFOSS4G 2022 | Geospatial data exchange using binary data serialization approachesData-driven innovation, as outlined by Granell et al. (2022), has seen recent advances in technology driven by the continuous influx of data, miniaturization and massive deployment of sensing technology, data-driven algorithms, and the Internet of Things (IoT). Data-driven innovation is considered key in several policy efforts, including the recently published European strategy for data, where the European Commission acknowledged Europe’s huge potential in the data economy by leveraging on available data produced by all actors (including public sector, private sector, academia and citizens). Technologies currently used for the management, exchange and transmission of data, including geospatial data, must be evaluated in terms of their suitability to efficiently adapt to streams of larger data and datasets. As more users access data services through mobile devices and service providers are faced with the challenges of making larger volumes of data available, we must consider how to optimise the exchange of data between these clients and servers (services). For many years JSON, GeoJSON, CSV and XML have been considered as the 'de facto' standard for data serialisation formats. These formats, which enjoy near ubiquitous software tool support, are commonly used for the storage and sharing of large amounts of data in an interoperable way. Most Application Programming Interfaces (APIs) available today facilitate data sharing and exchange, for a myriad of different types of applications and services, using these exchange formats (Vaccari et al., 2020). However, there are many limitations to approaches based on JSON and XML when the volume of data is likely to be large. Potentially the most serious of these limitations is related to reduced computational performance, when exchanging or managing large volumes of data where there are high computational costs associated with (de)serializing and processing these data. Against this background, binary data serialization approa...https://video.osgeo.org/videos/embed/186de9ea-7b97-4dc3-ae11-9031dd915ac7https://video.osgeo.org/w/gvqhVimD6RWpPt3jBCFvV6https://video.osgeo.org/lazy-static/thumbnails/bd7216b7-f749-42b2-9fce-0be6fb5db5b5.jpgFOSS4G 2022 | The Role of Open Standards in Digital Building Permitting, 3D Registration of…The Role of Open Standards in Digital Building Permitting, 3D Registration of Condominium, and Update of 3D City Models The Role of Open Standards in Digital Building Permitting, 3D Registration of Condominium, and Update of 3D City Models Digitalization is being adopted in many public services to increase the efficiencies of the required operations. Regarding this, there is an important interest in digitalizing the current building permit procedures since most of the buildings are designed digitally and as three-dimensional (3D). In addition, several countries are making an effort to realize the transition from two-dimensional (2D) cadastre to 3D cadastre. This is because 2D delineation of the legal rights may remain incapable to reflect the reality with respect to property ownership in multipartite buildings. The 3D city models should also be kept updated to effectively manage the occasions (e.g., natural disasters) and services (e.g., waterworks) in the living areas. In this sense, the open data standards have a vital role to enable interoperability between different domains such as AEC and Land Administration. In this sense, this paper first aims to show the current situation and opportunities on how to efficaciously benefit from open data standards for three significant issues. The issues can be listed as, 1) digitalizing the building permit procedures, 2) registering the condominium as 3D, and 3) updating the 3D city models. It then presents an approach for integrating open standards for 3D registration of condominium rights in Turkey context. The integration of GIS and BIM, GeoBIM, has gained importance in terms of digital building permitting since there are rules to be checked with respect to the built environment; for example, the availability of bicycle parks. Besides, zoning plans that are essential for building permitting are generally formatted with GIS-based data. There are studies in the literature that aim to carry out the building permitting by ...https://video.osgeo.org/videos/embed/7d949e99-3aeb-44e4-a6c8-252fbb1852d3https://video.osgeo.org/w/n9de55VKvuNhZSYGtMQ4YWhttps://video.osgeo.org/lazy-static/thumbnails/dede402f-3e45-49d5-9cf0-c7fbe0aca263.jpgFOSS4G 2022 | Serving Geospatial Data using Modern and Legacy Standards: a Case Study from the…Serving Geospatial Data using Modern and Legacy Standards: a Case Study from the Urban Health Domain Serving Geospatial Data using Modern and Legacy Standards: a Case Study from the Urban Health Domain Urban planning and design play an important role in amplifying or diminishing built environmental threats to health promotion and disease prevention (Keedwell 2017; Hackman, et al. 2019). However, there is still a lack of good evidence and objective measures on how environmental aspects impact individual behavior. The eMOTIONAL Cities project (eMOTIONAL Cities - Mapping the cities through the senses of those who make them 2021) sets out to understand how the natural and built environment can shape the feelings and emotions of those who experience it. It does so with a cross-disciplinary approach which includes urban planners, doctors, psychologists, neuroscientists and engineers. At the core of this research project, lies a Spatial Data Infrastructure (SDI) which assembles disparate datasets that characterise the emotional landscape and built environment, in different cities across Europe and the US. The SDI is a key tool, not only to make the research data available within the project consortium, but also to allow cross-fertilisation with other ongoing projects from the Urban Health Cluster and later on, to reach a wider public audience. The notion of SDIs emerged more than 20 years ago and has been constantly evolving, in response to both technological and organisational developments. Traditionally, SDIs adopt the OGC W_s service interfaces (e.g.: WMS, WFS, WCS), which are based on SOAP, the Simple Object Access Protocol. However, in recent times, we have seen the rise of new architectural approaches, which can be characterised by their data-centrism (Simoes and Cerciello 2021). Web-based APIs have numerous advantages, which speak for their efficiency and simplicity. They provide a simple approach to data processing and management functionalities, offer differen...https://video.osgeo.org/videos/embed/ab35656a-cb0d-4f80-a04f-0825a2afa182https://video.osgeo.org/w/wNrbfQU2VB9heus5gSg3oEhttps://video.osgeo.org/lazy-static/thumbnails/d63f4473-12a3-4cf5-a4c0-1f424c2f4d2b.jpgFOSS4G 2022 | Development of a collaborative platform for intelligent territorial mapping of the…Development of a collaborative platform for intelligent territorial mapping of the city of Oran Development of a collaborative platform for intelligent territorial mapping of the city of Oran In developing countries, sustainable development and territorial intelligence are of greater interest to public authorities and citizens. In Algeria, the combination of resources with technological innovation goes in the direction of building a productive territorial intelligence. This translates into a process aiming at developing a systemic approach of the territory in order to analyse its physical, social and economic dimensions in order to exchange the different points of view of the territorial, social and economic actors and to make the policies more coherent. In this contribution, we have focused the research on studies related to decisional computing used by governmental entities, especially in the field of public services. It turned out that the use of collaborative web platforms involving several actors belonging to different spheres (government, economy, social, etc.), constitutes a tool for the development of territorial intelligence thanks to the availability of data which allows a considerable saving of time and cost. Indeed, the construction of a territorial information system makes possible the networking of these actors, to elaborate clear and reliable schemes of urban planning for a liveable environment, which led us to think about the implementation of a web platform for exchanges, collections, production and dissemination of data and social animation to reach equitable consensus. This will allow, among other things, the development of project management through the formalisation of objectives and collaborative work for the planning and optimisation of tasks. Geographical information is a crucial element in most of the daily uses thanks to the intelligent applications put online and exploited by different categories of connected people. Therefore, the int...https://video.osgeo.org/videos/embed/f96de394-da0c-4d67-9c13-0c2f4a818142https://video.osgeo.org/w/2UQTRPvGt6qcwCrovKCWVphttps://video.osgeo.org/lazy-static/thumbnails/4a7d40b8-2817-4776-8f01-8da0b2a00cc4.jpgFOSS4G 2022 | Creating a land use/land cover dictionary based on multiple pairs of OSM and…Creating a land use/land cover dictionary based on multiple pairs of OSM and reference datasets Creating a land use/land cover dictionary based on multiple pairs of OSM and reference datasets 1. Background OpenStreetMap (OSM) can supply useful information to improve land use/land cover (LULC) mapping (Arsanjani, 2013; Schultz, 2017; Zhou, 2019). A dictionary is needed to convert each OSM tag into an LULC class. However, such a dictionary was mostly created subjectively or with only one pair of OSM and reference datasets. As a result, the existing dictionaries may not be applicable to other study areas. This study designed four measures: sample count, average area percentage, sample ratio and average maximum percentage; and used multiple pair of OSM and reference datasets to create a dictionary. 50 pan-European metropolitans were involved for testing and 1409 different OSM tags were found. We further found that: 1) Only a small proportion of OSM tags play a decisive role for LULC mapping. 2) An OSM tag may correspond to multiple different LULC classes, but the issue that which and how different LULC classes correspond to each OSM tag can be determined. Moreover, not only the proposed dictionary is useful for various applications, e.g., producing LULC maps, obtaining training and/or validation samples, assessing the quality of an OSM dataset, but also the approach to creating this dictionary can be applicable to different study areas and/or LULC datasets. 2. Data OSM datasets of the 50 metropolitans were acquired for free from http://download.geofabrik.de/index.html in June 2020. Corresponding reference datasets (called urban atlas or UA) were available from https://land.copernicus.eu/local/urban-atlas/urban-atlas-2012/# in June 2020 freely. 3. Methodology The tenet of our approach is to use multiple pairs of OSM and reference datasets for creating an OSM-LULC dictionary. In each pair of datasets, an OSM tag may correspond to different LULC classes, it is therefo...https://video.osgeo.org/videos/embed/0f79f25f-a57e-42e0-b1c2-d8807f438021https://video.osgeo.org/w/7Ggjj4jtYw4NNsVdus4kf1https://video.osgeo.org/lazy-static/thumbnails/22401f9a-2105-4aa2-bd3b-50c299fd75f8.jpgFOSS4G 2022 | Mainstreaming metadata into research workflows to advance reproducibility and open…Mainstreaming metadata into research workflows to advance reproducibility and open geographic information science Mainstreaming metadata into research workflows to advance reproducibility and open geographic information science Free and open source software for geospatial analysis (FOSS4G) supports burgeoning possibilities for practicing open and computationally reproducible human-environment and geographical research (Singleton et al 2016). Open and reproducible research practices may accelerate the pace of scientific discovery and enhance the scientific community's functions of knowledge verification, correction, and diffusion (Rey 2009, Kedron and Holler 2022). Geospatial metadata provides the foundation for reproducibility and open science and accordingly, requires more support in open source geospatial software. Following Wilson and others' (2021) five star guide for reproducibility, researchers can achieve four stars by conducting research with open data and software and documenting metadata according to the standards of the International Organization for Standardization (ISO) and OGC (Open Geospatial Consortium). For Tullis and Kar (2021), metadata is the key to documenting the provenance of research data artifacts, preserving information about every detail of data creation and transformation. Wilkinson and others' (2016) FAIR Guiding Principles for scientific data management enumerate functions for metadata in each of the principles for research: findable, accessible, interoperable, and reusable. However, open source geospatial software platforms generally lack the tools necessary for mainstreaming geospatial metadata into the full research workflow in support of more efficient research work and enhanced reproducibility and open science. This research on metadata is part of a larger human-environment and geographical sciences reproducibility and replicability (github.com/HEGSRR) project aimed at conducting formal reproduction and replication studies in t...https://video.osgeo.org/videos/embed/3636057a-adda-4f61-9ad1-4be032bd49f0https://video.osgeo.org/w/uWqBEF7PQ3yUYiR9xVMPxDhttps://video.osgeo.org/lazy-static/thumbnails/dd20145e-09aa-4147-a0e9-25f0eb2f531b.jpgFOSS4G 2022 | Semantic querying in earth observation data cubesEarth observation (EO) imagery has become an essential source of information to better monitor and understand the impact of major social and environmental issues. In recent years we have seen significant improvements in availability and accessibility of these data. Programs like Landsat and Copernicus release new images every day, freely and openly available to everyone. Technological improvements such as data cubes (e.g. OpenDataCube), scalable cloud-based analysis platforms (e.g. Google Earth Engine) and standardized data access APIs (e.g. OpenEO) are easing the retrieval of the data and enabling higher processing speeds. All these developments have lowered the barriers for utilizing the value of EO imagery, yet translating EO imagery directly into information using automated and repeatable methods remains a main challenge. Imagery lacks inherent semantic meaning, thus requires interpretation. For example, consider someone who uses EO imagery to monitor vegetation loss. A multi-spectral satellite image of a location may consist of an array of digital numbers representing the intensity of reflected radiation at different wavelengths. The user, however, is not interested in digital numbers, they are interested in a semantic categorical value stating if vegetation was observed. Inferring this semantic variable from the reflectance values is an inherently ill-posed problem, since it requires bridging a gap between the two-dimensional image domain and the four-dimensional spatio-temporal real-world domain. Advanced technical expertise in the field of EO analytics is needed for this task, making it a remaining barrier on the way to a broad utilization of EO imagery across a wide range of application domains. We propose a semantic querying framework for extracting information from EO imagery as a tool to help bridge the gap between imagery and semantic concepts. The novelty of this framework is that it makes a clear separation between the image domain and the real-wor...https://video.osgeo.org/videos/embed/ea59372e-d64f-459b-8033-d9578e6b21ffhttps://video.osgeo.org/w/a2jMFB5YeKn83Co321nD1Mhttps://video.osgeo.org/lazy-static/thumbnails/a900557c-60f7-48ae-b4ac-aabf4c230b57.jpgFOSS4G 2022 | The STAGA-Dataset: Stop and Trip Annotated GPS and Accelerometer Data of Everyday Life## Motivation & Contribution Part of the development of an analysis pipeline for mobility studies using GPS data is benchmarking its performance on both the raw data accuracy and the analysis pipeline itself. When we started to develop our algorithm for stop and trip classification, it became clear that we needed a precisely annotated dataset containing accurate stop and trip labels as a ground truth. Apart from validating our development, we wanted to have a reference point for comparing our analysis methods with existing libraries. For the study, we planned to equip participants with a smartphone to collect movement data in form of GPS and acceleration data for several days in a row. To prolong battery time, we chose a lower sample frequency. Our special focus was to create ground truth for stop and trip detection algorithms, hence the annotation focused on this. Through this manuscript, we contribute a comprehensive dataset providing accurate start and end timestamps for stops over 126 days. The STAGA dataset is an unprocessed table of GPS coordinates, annotated with a timestamp, altitude, GPS accuracy, and class label ("stop" or "trip"). Each sample labeled as a "stop" further contains the GPS coordinates of the location it's attributed to. The acceleration data is provided as a separate file, but covers the same time frame and contains a triple (x, y, z) of acceleration sensor readings for each given timestamp, sampled at 1 Hz. The STAGA~dataset is provided publicly and free to use. We further provide the iOS app used to create the diary data for simple stop/trip annotation while on the go. All this is made available under CC BY 4.0. ## Method #### Diary To create the dataset, we first tried a traditional diary approach: four researchers were taking notes, writing down addresses and times whenever they stopped. While this provided some first samples, it was a tedious and error-prone process, since taking notes is impractical in everyday life. Furthermore, it...https://video.osgeo.org/videos/embed/491191eb-9e48-421e-babb-30c21d4fc0c9https://video.osgeo.org/w/bHJM1JnUFVVNxVrCjiwA2whttps://video.osgeo.org/lazy-static/thumbnails/2afe31f3-1d24-4f51-9ab3-b1d2b7ebce97.jpgFOSS4G 2022 | Simulation of the effects of possible regulations for the location of wind and…Simulation of the effects of possible regulations for the location of wind and photovoltaic power plants in the Lazio Regional Administration (Italy) Simulation of the effects of possible regulations for the location of wind and photovoltaic power plants in the Lazio Regional Administration (Italy) The need to make electricity production increasingly sustainable requires careful planning of production plants, mainly for wind and photovoltaic energy conversion. Planning areas correctly, while respecting existing environmental constraints, is not an easy task and requires the collaboration of a panel of experts with different skills. The need to search for new sites to be allocated to renewable energy generation plants is dictated by the most pressing current events, the search for non-impacting energy sources to whose research and development specific points of the National Resistance and Resilience Plan are dedicated, to which are added the consequences of the newborn Ukrainian conflict that has definitively discovered the problematic relationship-dependence of Italy and Europe with energy supplies from non-European countries. Both issues are pushing the country towards a rapid search for new energy strategies for environmental reasons and to make up for natural shortages that require massive imports of gas and other resources from abroad. In particular, the National Recovery and Resilience Plan (PNRR), part of the European Next Generation EU (NGEU) programme, a 750 billion euro package allocated by the European Union to counteract the economic damage caused by the Covid-19 global pandemic, is an economic plan worth 248 billion euro that Italy can use in the five-year period from 2021 to 2026 to implement various reforms and repair the damage created by the pandemic crisis. The plan, presented to the EU under the name 'Italia Domani', envisages investments along three main axes: digitalisation and innovation, ecological transition and social inclusion. These eco...https://video.osgeo.org/videos/embed/56cf3e2c-6cf3-42ed-a782-e3dfd85065a0https://video.osgeo.org/w/sHMLTmKJisdp7rDkLhcrnHhttps://video.osgeo.org/lazy-static/thumbnails/f72551dc-8b18-4fc9-aad3-e2596c369718.jpgFOSS4G 2022 | OSGeo, Persistent Identifiers and the shape of things to comeThis article is a work in progress report on the introduction and exploitation of persistent identifiers (PID) within the OSGeo Foundation and its software project communities. Following an introduction to the topic of Persistent Identifiers (PID), an overview of the currently achieved states and emerging new opportunities, but also new challenges is given. The latter enables the OSGeo project communities to actively participate in the further development of data-driven open science and the evolution of the FAIR (Findable, Accessible, Interoperable, Reusable) Guiding Principles for scientific data management and stewardship from the original data focus to research software and community software projects. With the rise of the Internet and World Wide Web, Universal Resource Locators (URL) have become common practice to reference web resources. A URL specifies its location on a computer network and a mechanism for retrieving it. However, URLs are not a sustainable practice for scientific citation because they will break once the referenced resource is transferred to another web address; i.e., the original URL cannot be resolved anymore and an error message is returned instead (e.g., HTTP error 404). To counter this, persistent identifiers have been introduced as long-lasting references to web resources, including research data, source code, audiovisual content, and also human individuals or communities. Persistence is always achieved by infrastructure services which resolve the references to their target objects. This requires open standards, operation of infrastructure services and best practices for sustainable long term use. The adoption of PID use in the OSGeo Foundation continues for different application areas, with increasing synergy effects forming the foundation of a greater whole. The introduction of PID in OSGeo started in 2014 for a newly discovered version of the historical GRASS GIS informational video from 1987, which is preserved in the AV Portal of...https://video.osgeo.org/videos/embed/d8634f13-6e05-4f79-be44-82cd870901e7https://video.osgeo.org/w/siB9zpGAnsMseLckhoPWgEhttps://video.osgeo.org/lazy-static/thumbnails/2cc5d097-ef39-4408-a3a9-f61976c665e1.jpgFOSS4G 2022 | Deployment of AI-enhanced services in climate resilience information systemsProducing and providing useful information for climate services requires vast volumes of data to come together that further requires technical standards. Beside ordinary base processes for climate data processing like polygon subsetting, there is the special case of extreme climate events and their impacts, where scientific methods for appropriate assessments, detection or even attribution are facing high complexity for the data processing workflows. Therefore the production of climate information services requires optimal science based technical systems, named in this paper climate resilience information systems (CRIS). CRIS like the Climate Data Store (CDS) of the Copernicus Climate Change Service (C3S) are connected to distribute data archives, storing huge amounts of raw data themselves and containing processing services to transform the raw data into usable enhanced information about climate related topics. Ideally this climate information can be requested on demand and is then produced by the CRIS on request by the user. This kind of CRIS can be enhanced when scientific workflows for general climate assessment or even extreme events detection are optimized as information production service, accordingly deployed to be usable by extreme events experts to facilitate their work through a frontend. Deployment into federated data processing systems like CDS requires that scientific methods and their algorithms be wrapped up as technical services following standards of application programming interfaces (API) and, as good practice, even FAIR principles. FAIR principles means to be Findable within federated data distribution architectures, including public catalogs of well documented scientific analytical processes. Remote storage and computation resources should be operationally Accessible to all, including low bandwidth regions and closing digital gaps to ‘Leave No One Behind’. Aggreeing on standards for Data inputs, outputs, and processing API are the necessary ...https://video.osgeo.org/videos/embed/d502e8ee-83c8-4dfa-8c82-98320a16e81chttps://video.osgeo.org/w/iMqtNZQ5Fd32jJB9axGJhwhttps://video.osgeo.org/lazy-static/thumbnails/4df59e02-7712-4624-8435-b463a2621092.jpgFOSS4G 2022 | Remote mapping of soil erosion risk in IcelandSoil erosion is a major global land degradation threat. Improving knowledge of the probable future rates of soil erosion, accelerated by human activity and climate change, is one of the most decisive factors when it comes to making decisions about conservation policies and for earth-system modelers seeking to reduce uncertainty on global predictions [1]. In this context, the use of remote-sensing based methods for soil erosion assessment has been increasing in recent years thanks to the availability of free access satellite data, and it has repeatedly proven to be successful [2, 3]. Accurate information about it is, however, usually known only at the local scale and based on limited field campaigns. Its application to the Arctic presents a number of challenges, due to peculiar soils with short growing periods, winter storms, wind, and frequent cloud and snow cover. However, the benefits of applying these techniques would be especially valuable in arctic areas, where ground local information can be hard to obtain due to hardly accessible roads and lands. Here we propose a hybrid solution, which uses ground truth samples to calibrate the processed remote images over a specific area, to then automate the analysis for larger, less accessible areas. This solution is being developed for soil erosion studies of Iceland specifically, using Sentinel 2 satellite data combined with local assessment data from Iceland’s Soil Conservation Services department, Landgræðslan. Their historical data is more extensive than usual, since they are the oldest soil erosion department in the world. Available data includes parameters of bare ground cover, which can be calculated from satellite images alone, after using information from observationally correct areas without vegetation for calibration; Icelandic soil profiles, to be analyzed to find how the profile relates to soil erosion intensity; as well as the parameters of agriculture use and arable land data including plant species in ...https://video.osgeo.org/videos/embed/9002e9b3-2c0a-4003-9507-f7b9ac56acf6https://video.osgeo.org/w/wiC9Vu6ueAYEXpHwhUK47khttps://video.osgeo.org/lazy-static/thumbnails/28991a26-15af-4f99-9cb4-6064f5fb7260.jpgFOSS4G 2022 | An approach for real-time validation of the location of biodiversity observations…An approach for real-time validation of the location of biodiversity observations contributed in a citizen science project An approach for real-time validation of the location of biodiversity observations contributed in a citizen science project Motivation: Because of technological advancements, public participation in scientific projects, known as citizen science, has grown significantly in recent years (Schade and Tsinaraki 2016; Land-Zandstra et al. 2016). Contributors to citizen science projects are very diverse, coming from a variety of expertise, age groups, cultures, and so on, and thus the data contributed by them should be validated before being used in any scientific analysis. Experts typically validate data in citizen science, but this is a time-consuming process. One disadvantage of this is that volunteers will not receive feedback on their contributions and may become demotivated to continue contributing in the future. Therefore, a method for (semi)-automating validation of citizen science data is critical. One way that researchers are now focusing on is the use of machine learning (ML) algorithms to validate citizen science data. Methodology: We developed a citizen science project with the goal of collecting and automatically validating biodiversity observations while also providing participants with real-time feedback. We implemented the application with the Django framework and a PostgreSQL/PostGIS database for data preservation. In general, the focus of biodiversity citizen science applications is on automatically identifying or validating species images, with less emphasis on automatically validating the location of observations. Our application's focus, aside from image and date validation (Lotfian et al. July 15-20, 2019), is on automatically validating the location of biodiversity observations based on the environmental variables surrounding the observation point. In this project, we generated species distribution models using various machin...https://video.osgeo.org/videos/embed/f56815a0-6c2e-4b05-ba8c-8648b4f2fdd3https://video.osgeo.org/w/5cPeJMftFTMVaTjRoi8ueqhttps://video.osgeo.org/lazy-static/thumbnails/12038f6a-793c-4989-b138-bf65f96ea8ce.jpgFOSS4G 2022 | Geo Collector Bot: A Telegram-based open toolkit to support field data collectionThe collection of georeferenced information on the field has become an established and popular practice allowing professionals, volunteers and citizens to contribute to mapping objects or reporting events. Field data collection is essential to a variety of domains [1] including many scientific and humanistic disciplines, humanitarian and rescues operations, locations reviews and professional engineering surveys, to mention a few. The spread of mobile devices that can record location coordinates, media and features while on the go (and share them through the web) is primarily accountable for such diffusion. As a result, a number of mobile apps and software frameworks (both proprietary as well as free and open-source) have been developed and released to perform data collection on the field. Most of these frameworks allow developers or data collection promoters to customize collection forms according to the characteristics of each collection task and manage both users and records through web dashboards or database management systems. From the user perspective, mobile client apps are available to access selectively the collection forms and contribute to the data collection on the field using mainly smartphones or tables. Focusing on general-purpose data collection software frameworks, some of the most popular free and open-source solutions are the Open Data Kit (ODK, https://opendatakit.org), the KoBoToolbox (https://www.kobotoolbox.org) and Epicollect (https://five.epicollect.net). Other relevant examples of free and open-source frameworks implementing a more technical approach to field data collection are e.g. QField (https://docs.qfield.org), Geopaparazzi and SMASH (https://www.geopaparazzi.org). Proprietary or pay-per-use solutions developed by major GIS firms are also available on the market but they were not considered in the benchmark analysis carried out in this work. The outlined free and open-source software frameworks provide client and server modules and ...https://video.osgeo.org/videos/embed/220ad8cb-90c3-404d-b8a8-92b4484f5c22https://video.osgeo.org/w/7qpfgNJXvCPKskrTSK4ZxJhttps://video.osgeo.org/lazy-static/thumbnails/52374c88-02be-4358-b161-2c9733c47dea.jpgFOSS4G 2022 | Analysis of the spatiotemporal accumulation process of Mapillary data and its…Analysis of the spatiotemporal accumulation process of Mapillary data and its relationship with OSM road data: A case study in Japan Analysis of the spatiotemporal accumulation process of Mapillary data and its relationship with OSM road data: A case study in Japan Japan's open infrastructure map development using OpenStreetMap was triggered by the Great East Japan Earthquake in 2011, which led to a widespread understanding of the activity, and by the end of September 2019, more than 35,000 unique users had made some kind of contribution, and the data is still being updated daily. The data is still being updated daily. In addition, the Mapillary project (Juhász and Hochmair, 2016; Mahabir et al., 2020) which started in April 2014, is a location-based landscape photo-sharing service that, like OSM, is crowdsourced and allows users to post photos of places around the world, not just on roads. This activity has started to spread in Asia, especially in Japan, where the number of contributors and the number of photos taken is rapidly increasing (Ma et al., 2020). These voluntary crowdsourcing activities are a great incentive to work on the creation of micro-scale road data, especially those that cannot be maintained or updated by public agencies. On the other hand, most of the research on Mapillary to date has been concerned with technical methodologies, such as the study of ground object extraction based on deep learning of images using Mapillary data, and approaches such as local comparison of data generated by contributors, as is commonly done in OSM research, have not made much progress. This study was conducted in September 2014. In this study, we obtained about 41.7 million log data through the Search Images API of Mapillary API ver3 taken in Japan from September 2014 to September 2019. Then, together with the line data of OSM roads at the same point in time, the maintenance status of Mapillary and OSM road data in municipal units in Japan was spatially analyze...https://video.osgeo.org/videos/embed/33ff0222-dc01-4a80-be49-17d563cd0ddchttps://video.osgeo.org/w/p2Re1Pa5XFvAWRcmMYGreAhttps://video.osgeo.org/lazy-static/thumbnails/8f7484ae-76ad-4dcf-999d-b37247f282b2.jpgFOSS4G 2022 | An open-source-based workflow for DEM generation from Sentinel-1 for landslide volume…An open-source-based workflow for DEM generation from Sentinel-1 for landslide volume estimation An open-source-based workflow for DEM generation from Sentinel-1 for landslide volume estimation Digital elevation models (DEMs) are a representation of the topography of the Earth, stored as elevation values in regular raster grid cells. These data serve as basis for various geomorphological applications, for example, for landslide volume estimation. Access to timely, accurate and comprehensive information is crucial for landslide analysis, characterisation and for understanding (post-failure) behaviours. This information can subsequently be used to effectively assess and manage potential cascading hazards and risks, such as landslide dam outburst floods or debris flows. Freely available DEM data has been an important asset for landslide volume estimation. Earth observation (EO) techniques, such as DEM differencing, can be leveraged for volume estimation. However, their applicability is reduced by high costs for commercial DEM products, limited temporal and spatial coverage and resolution, or insufficient accuracy. Sentinel-1 synthetic aperture radar (SAR) data from the European Union's Earth observation programme Copernicus opens the opportunity to leverage free SAR data to generate on-demand multi-temporal topographic datasets. Sentinel-1 A & B data provide a new opportunity to tackle some of the problems related to data costs and spatio-temporal availability. Moreover, the European Space Agency (ESA) guarantees the continuity of the Sentinel-1 mission with the planned launch of another two satellites, i.e., Sentinel-1 C & D. Interferometric SAR (InSAR) approaches based on Sentinel-1 have often been used to detect surface deformation; however, few studies have addressed DEM generation (Braun, 2021). For example, Dabiri et al. (2020) tested Sentinel-1 for landslide volume estimation, but highlighted the need to further research and systematically assess the accurac...https://video.osgeo.org/videos/embed/ba8444bf-cb26-42de-9452-0308dbc627f8https://video.osgeo.org/w/mS1hVSYVDK92sG4hkqurQthttps://video.osgeo.org/lazy-static/thumbnails/489483c8-7cb9-4257-a96a-7b1d3b461a25.jpgFOSS4G 2022 | How to grow? -Modeling land use change to develop sustainable pathways for settlement…How to grow? -Modeling land use change to develop sustainable pathways for settlement growth in the hinterland of Cologne, Germany How to grow? -Modeling land use change to develop sustainable pathways for settlement growth in the hinterland of Cologne, Germany Urban sprawl is associated with negative environmental impacts such as the loss of habitat and the loss of most fertile soils for agriculture. The hinterland of Cologne, Germany is facing these challenges. The area is expected to face a population increase by 200,000 inhabitants in the next twenty years. Given past development trends, this population increase will have to be mainly absorbed by the cities and villages in the hinterland. While this provides ample economic opportunities, negative impacts on ecosystems as well as on agriculture have to be assumed due to urban sprawl and increasing fragmentation. The region is known as as one of the most productive agricultural regions in Central Europe. As highest fertile soils are located in the direct neighborhood of existing settlements, urban sprawl will lead to strong trade-offs with agricultural production. The aim of the scientific project NACHWUCHS is to identify alternatives to the continuation of existing development patterns. Therefore, we developed a baseline land use model and compare it to scenarios that assume different brownfield development activities. Stakeholder involvement is at the core of the project, as policies for alternative pathways cannot be successfully implemented without the support by farmers, real estate companies, environmental stakeholder , the municipalities and the district administration. The most important aspect of land use change in the region is the allocation of new housing areas. This is modeled by a tool-chain based on a free software stack, that uses PostgresSQL with a Postgis extention, Python and QGIS. The allocation model for new housing areas is currently based on a random forest classifier that has been train...https://video.osgeo.org/videos/embed/a8f2243e-5728-4d53-9af9-198fdcbfc7bfhttps://video.osgeo.org/w/nkZqt3DDQBnYBPtEEhwjUjhttps://video.osgeo.org/lazy-static/thumbnails/1d4144a3-a8a8-48b1-8ccd-0ae66f2ceaf1.jpgFOSS4G 2022 | Speed-related traffic accident analysis using GIS-based DBSCAN and NNH clusteringTraffic accidents are a significant problem facing the world, as they result in many deaths and injuries every year. Generally, the probability of traffic accidents occurring at any point is not random. Factors such as the condition of the road, where the accidents occurred, and the general structure of the land play an essential role in the accidents that will occur at one point. For this reason, traffic accidents tend to occur intensively in areas where these factors are different from usual. It is critical to identify such areas and take the necessary measures to ensure road safety and reduce traffic accidents. Identifying the different geographic locations where traffic accidents occur can help prevent more traffic accidents, personal injuries, and fatal accidents and understand the different accident occurrence conditions. When the literature is considered, it is seen that many studies in this field are handled with different methods. Analyzing the locations where traffic accidents occur by considering the hot spots with spatial clustering methods plays a very active role in examining the tendency of traffic accidents to occur. In this study, it is thought to deal with detecting traffic accident hot spots by using the GIS-based Nearest Neighbor Hierarchical Clustering Method (NNH) and Density-based clustering Method (DBSCAN). Nearest Neighbor Hierarchical Clustering Method (NNH) is a hot spot spatial clustering method that detects accident hot spots. This method considers two types of criteria for spatial mapping clustering of spatial point data: the threshold distance (d), which is the Euclidean distance between each pair of data points, and the minimum number of points that must be present in a cluster (nmin) (Kundakci E, 2014; Kundakci and Tuydes-Yaman, 2014; Levine, 1996; Levine et al., 2004; Ture Kibar and Tuydes-Yaman, 2020). At the point of realizing this method, the crime stat program, which was developed especially for hot spot clustering analysis o...https://video.osgeo.org/videos/embed/acda6e52-d80b-48bb-a673-776a09be0dd2https://video.osgeo.org/w/1JPGm29JzHMetVNazWXfVBhttps://video.osgeo.org/lazy-static/thumbnails/aef2ad9c-2952-4ab9-a508-ccec18513640.jpgFOSS4G 2022 | OGC API State of Play - A practical testbed for the National Spatial Data…OGC API State of Play - A practical testbed for the National Spatial Data Infrastructure in Switzerland OGC API State of Play - A practical testbed for the National Spatial Data Infrastructure in Switzerland # Context and purpose OGC standards shape a backbone within the OSGeo community in defining a pathway to software implementation toward the standardization of geospatial information and related services ensuring interoperability between FOSS4G software. Since 2016, the OGC has initiated the specification of a new generation of standards based on the OpenAPI so as to facilitate integration in modern web applications and systems. Underpinning the OGC API roadmap, the development of all these standards represents a significant amount of activities carried out by various OGC working groups, testbeds and pilots from the OGC Innovation Program. Some standards have been approved, many are still under development and it is therefore not always easy to follow the progress. Indeed, while some geodata infrastructures involving national entities are already deploying this new generation (e.g. Canada MSC GeoMet), some initiatives run a phase of experimentation (e.g. Geonovum Testbed Platform for the Dutch geoportal). From a practical perspective, how can organizations and institutions anticipate to leverage this new generation of standards to deploy a geospatial data infrastructure? This issue is what this article is about, introducing a project that seeks to address it by running an OGC API testbed platform with a special focus to the Swiss context. This project is embedded in the Resources for the NSDI Program (related to the Swiss Geoinformation Strategy) with the purpose to contribute to the upcoming revision of e-government standards regarding geoinformation (e.g. eCH-0056 Geoservices application profile). The project is about a study jointly carried out by swisstopo and complementary academic partners (HEIG-VD, SUPSI, UNIGE). # Approach As a result of the above men...https://video.osgeo.org/videos/embed/05faa1bd-c313-4288-a08e-5a5ec19527f5https://video.osgeo.org/w/ewr4BjyjpQSfVwVGLW6iYmhttps://video.osgeo.org/lazy-static/thumbnails/7e5e5c5c-0c7d-454c-b8f0-6010b26cd965.jpgFOSS4G 2022 | Making Sense of the Noise: Integrating Multiple Analyses for Stop and Trip…Making Sense of the Noise: Integrating Multiple Analyses for Stop and Trip Classification Making Sense of the Noise: Integrating Multiple Analyses for Stop and Trip Classification ### Motivation & Contribution Mobility researchers using GPS first obtain raw coordinates and timestamps from GPS instead of the variables they're interested in. Conversion is needed to acquire, for example, the time spent out of home, the number of revisited places, or the total time spent on the go. All of these rely on the ability to precisely identify stops and trips and are therefore fundamental when it comes to mobility research. The commonly adopted strategy involves a combination of a distance and a time threshold to identify significant places (Ash- brook and Starner, 2002, Ye et al., 2009). Here, GPS records are grouped together, if they lie within such a pre-defined radius and time. When we planned the technical basis for a mobility intervention study, we tested several existing systems based on this approach. We observed, on the one hand, significant segmentation of the identified stops, due to the relatively large amount of signal noise. On the other hand, we could only identify stops having a duration greater than a pre-defined time threshold, usually five minutes. Hence, the temporal resolution of this analysis was sub-optimal. Reduced this threshold, lead to an increased number of falsely identified stops (false positives) and segmentation. To solve this, we developed a modern stop and trip identification algorithm. For a human annotator, this task is fairly easy: when dwelling on a spot, the GPS records scatter around the true position because of its imperfect signal. Records obtained from a trajectory through an environment are clearly distinguishable - although the imperfect signal diverges from the true position similarly. This observation inspired us to create a new algorithm around the idea of investigating the signal patterns, and therefore the geometric properti...https://video.osgeo.org/videos/embed/6d868f92-2760-45f1-8749-10f7bd449650https://video.osgeo.org/w/8HV8sQ6Pfz5sSWPJoTWxk5https://video.osgeo.org/lazy-static/thumbnails/c647f719-a2d6-4ca8-a7fd-8c2274432c47.jpgFOSS4G 2022 | Automatic assessment of lake health status using an open source approach: Lugano lake…Automatic assessment of lake health status using an open source approach: Lugano lake case study Automatic assessment of lake health status using an open source approach: Lugano lake case study Lakes are a fundamental resource with a number of environmental benefits and with a not negligible influence on the local economy and on the quality of life. They work as a storage of water when floods or droughts occur, in the first case, they are useful to laminate the excessed flux of water, in the second as water supply during shortages. In addition, they influence the filling of groundwater and they play a role in the preservation of the general habitat biodiversity. From an economical point of view, they are an attraction for tourism, residential living as well as a source of recreation and of work for fishers. Unfortunately, climate changes together with human activities are more and more threatening such resources modifying the known dynamics and affecting the general health status of lakes (Fenocchi et al. 2018; Free et al. 2021; Lepori et al. 2018). In this context, the INTERREG project SIMILE (System for the Integrated Monitoring of Insubric Lakes and their Ecosystems), born from the collaboration between Italy and Switzerland, aim at developing an information system using an open source approach and based on innovative technologies to help decision maker in the management and evaluation of the status of the transboundary and sub-alpines lakes such as Lake Maggiore, Lugano and Como. The SIMILE project wants to intensify the monitoring of these lakes by creating an open real-time monitoring system and by integrating data coming from different sources in order to create the possibility to fully exploit the potential with the heterogeneity of the available information and better studying the resource. The work presented in this paper is focused on the achievements reached by the research carried out on lake Lugano in the context of the SIMILE project after two yea...https://video.osgeo.org/videos/embed/3e8a34f6-f24c-49f7-b7e4-13c0b0882c0ehttps://video.osgeo.org/w/ibvJx3YK1ovm1V1wZCBm85https://video.osgeo.org/lazy-static/thumbnails/b53f9cdb-5296-4f2a-ab38-d129e065c3bf.jpgFOSS4G 2022 | Earth Observation DataCubes Multi-visualization ToolboxContext It is said that data visualization is as important as the data itself. As the amount of data generated from Earth observation (EO) satellites – i.e. Copernicus program (Jutz and Milagro-Pérez, 2020) – is getting bigger and bigger, we need more efficient tools to deal with this onslaught of data. To help data scientists better extract relevant information from datacubes, we noticed that an under-exploited computer graphics tools could bring new perspectives to specialists. Datacubes are known to be the reference format to handle EO data; several techniques such as Web WorldWind developed by NASA exist to process and interact with them. Recent works have shown focus on the preparation of largescale geospatial data (Mazroob Semnani et al., 2020), a highly technical subject, could benefit from optimizations. QGIS is another tool frequently used in the field, that can be enhanced by plugins and can retrieve data from Web platforms. A modern approach to process efficiency is the use of GPUs. Still, when reviewing the use of GPUs to process geospatial data, the emphasis is often put on the parallel processing of geospatial datasets rather than focusing on their visualization (Saupi Teri et al., 2022). Objectives One of the main contributions of this paper is to consider geospatial data using GPU resources for intermediate computation and visualization. Considering the increasing interest to interact with this data directly using Web pages or Notebooks, this article presents tools allowing a program to run on the GPU and display the desired datacubes using the WebGL API. This can result in high performances thanks to its low-level control and possibility to use GPGPU algorithms. WebGL running natively on most web browsers, another benefit will be the end-user ease of use. The end goal is to display even large (i.e. 1024^3) datacubes rendered on the fly in real time on a PC, still well-equipped. Methodology To keep our applied research efforts focused, we have set up ...https://video.osgeo.org/videos/embed/8b231e67-0010-4ff9-b4e4-c9fdf324cb42https://video.osgeo.org/w/osiPJ7FgPxsiAkM4yC9XFdhttps://video.osgeo.org/lazy-static/thumbnails/e50cd27b-66bd-4996-8d68-ba97c858eb46.jpgFOSS4G 2022 | Analysis of Local and Remote Mappers’ Open Geographic Data Contribution to Oil Spill…Analysis of Local and Remote Mappers’ Open Geographic Data Contribution to Oil Spill Disaster Response in Niger Delta Region, Nigeria Analysis of Local and Remote Mappers’ Open Geographic Data Contribution to Oil Spill Disaster Response in Niger Delta Region, Nigeria Open mapping leverages on volunteer mappers mobilized and engaged from the public. volunteers most often are trained and coordinated virtually to carry out dedicated mapping task, irrespective of their geographic location, professional and academic background. In this study volunteer mappers engaged are categorized into two namely: the Local Volunteer Mappers (LVM) comprising of all the potential and actual mappers resident in Nigeria and the Remote Volunteer Mappers (RVM) comprising of all potential and actual mappers not resident in Nigeria. The study sampled 2 Local Government Areas (LGAs) of River State from the 4 vulnerable oil spill disaster LGAs of Ogoni land communities. Ogoni land is a major oil spill disaster vulnerable area of Nigeria, being the major host communities of crude oil exploitation in the Niger Region of Nigeria. Following the hazardous impact and damage of Ogoni land by oil Spill disaster over the years of oil exploitation in Niger Delta, UNEP assessed that the environmental restoration of Ogoni land would require coordinated efforts on the part of government agencies at all levels, industry operators and communities. UNEP also presented its recommendations as a major opportunity to bring new investment, employment opportunities and a culture of cooperation to Ogoni land in addition to driving improvements in the environmental and health situation on the ground. To effectively implement the UNEP recommendations for restoration of Ogoni land, there is a need for a geographic data that provides critical building footprint in the area, especially, to identify and access the vulnerable oil spill communities. Maps produced would be used by government agencies and other stakeholder...https://video.osgeo.org/videos/embed/b5d55f4d-1768-49cf-bafe-ba2c57d4cd5ehttps://video.osgeo.org/w/2ffCNzguF1R9U3uayEDvEhhttps://video.osgeo.org/lazy-static/thumbnails/44ea4b98-7d55-4e2f-9efa-b79a38b34d1a.jpgFOSS4G 2022 | Tackling the challenges of software provision1. Introduction For most end-users, the term ‘software’ is equivalent with executing a given application to obtain a desired result. Moreover, the highest importance is usually attributed to the software being free to use. Besides intuitive use, a key requirement for success and wider acceptance of a software application is easy access, which is often facilitated though open-source projects. While users naturally only care about stability and functionality of the software, software developers often see their task completed once the application reaches a certain degree of maturity and its source code is made available. However, in addition to ease of use and targeted software development, a third component in the life cycle of software design [Vogt 2019] is the software provision. The importance of adequate software dissemination entails a wide range of aspects, which are often undervalued but are crucial to best meet end-user expectations and to achieve the highest application acceptance. In this manuscript, we outline a perspective on approaches to appropriately address issues of software provision aimed at promoting software in an efficient way. We illustrate the motivation and features of various aspects of software provision on the recently published software GWB [Vogt et al., 2022] [1] and its implementation on the FAO cloud computing platform SEPAL [2]. 2. Software provision This section summarises reflections on various aspects when disseminating a software application. - Source code: The provision of the source code is often perceived as a final product delivery. However, most end-users cannot make any use of the source code because they do not understand the programming language, do not know how to compile it or how to properly link required dependencies. The large number of Linux distributions provides an additional challenge due to varying inter-dependencies of distribution-specific compiled libraries and packaging policies. Packaging - the conversion ...https://video.osgeo.org/videos/embed/0a1691fe-abe8-4908-bb79-3313f81cc228https://video.osgeo.org/w/n45N44sW72FvTC8K8eGf16https://video.osgeo.org/lazy-static/thumbnails/ff7973cd-ad5f-4cad-a7f0-5e6f01b66646.jpgFOSS4G 2022 | Monitoring landslide displacements through maximum cross-correlation of satellite…Monitoring landslide displacements through maximum cross-correlation of satellite images Monitoring landslide displacements through maximum cross-correlation of satellite images In the last years we have witnessed a huge increase in the availability of free and open multispectral, multitemporal and global coverage satellite imagery. At the same time, new open software tools for exploiting these images have arisen. Given the availability of short-revisiting time open satellite images, this study focuses on the analysis of satellite imagery using free and open source GIS software to identify displacements of single landslides. In particular, the Ruinon landslide was selected as the subject for this analysis. It is situated in Northern Lombardy, Italy, and it is one of the most active landslides of the Alps. The landslide is situated at the base of a Deep-seated Gravitational Slope Deformation, that affects the entire slope up to the summit at 3000 m a.s.l. Two major scarps can be identified: the upper one is a sub-vertical rock cliff of about 30 m in height, while the lower one is characterized by a more widespread debris cover. The general strategy employed in this work for obtaining landslide displacements in terms of direction and magnitude is to apply a local maximum cross-correlation on a multitemporal images stack. This was achieved using GRASS GIS and custom Python scripts. The images were selected from both the Sentinel-2 catalogue, which is free, and the Planet catalogue, available for free for research purposes. The main preprocessing steps are: creation of a suitable multi-temporal stack, clipping the satellite images to the selected AOI and applying cloud masking and an atmospheric correction; image co-registration to ensure that the images become spatially aligned so that any feature in one image overlaps as well as possible its footprint in all other images in the stack; histogram matching to transform one image so that the cumulative distribution fu...https://video.osgeo.org/videos/embed/aa7e18fb-58ec-43b0-86d4-ecd945bc13adhttps://video.osgeo.org/w/8J8jGa4YAN8R768JSMXA1ohttps://video.osgeo.org/lazy-static/thumbnails/bcf05a0e-b11d-4788-b1a7-c9fe44f6dcea.jpgFOSS4G 2022 | Morphological Spatial Pattern Analysis: Open Source ReleaseIn this section, we describe the main routines of the MSPA code with reference to the morphological image analysis operations they rely on with links to their implementation in the open source Morphological Image Analysis Library (MIAL) recently released on GitHub at github.com/ec-jrc/jeolib-miallib by the first author. All morphological image analysis operators at the basis of MSAP are described in [Soille, 2004]. We briefly present the main MSPA foreground classes with reference to source code of the main morphological function used to compute them: core, boundaries, islets, connectors, and branches. The actual pseudo-code will be added in the final version of this paper and will include details on the computation of all MSPA feature classes including those of connected components of background pixels. The underlying code in the C programming language is available on GitHub at github.com/ec-jrc/jeolib-miallib/blob/master/core/c/mspa.c # Performance The performance of the algorithm is evaluated on images of increasing size as well as for on-the-fly computation for interactive analysis and visualisation. We demonstrate experimentally that the complexity of the proposed implementation is linear. That is, the computational time increases linearly with the number of pixels. We also show that the algorithm can handle images up to 2^64 pixels. For example, a Global MSPA map of forest cover in equal area projection and with a pixel resolution of 100 meter (400,748 x 147,306 pixels) was processed on the JRC Big Data Analytics Platform [Soille et al. 2018] in 12 hours. Processing large images is very much needed to mitigate dependencies with regards to the image definition domain because pixel classes may depend on the observation domain. As for the on-the-fly computation for interactive analysis and exploratory visualisation based on Jupyter notebooks [De Marchi and Soille, 2019], we show that the proposed implementation is fast enough for integration in JupyterLab with...https://video.osgeo.org/videos/embed/3e91b8b2-aeb6-4c10-9d46-09b2f08a6f86https://video.osgeo.org/w/dBgXCwiZGeC2vA67U6wDGthttps://video.osgeo.org/lazy-static/thumbnails/5b4dc6ba-4da0-4934-979b-eb5d03d4914a.jpgFOSS4G 2022 | Development of Multi-dimensional Array Database Based Massive Satellite Information…Development of Multi-dimensional Array Database Based Massive Satellite Information Processing and Analysis System: KIWI-Sat Development of Multi-dimensional Array Database Based Massive Satellite Information Processing and Analysis System: KIWI-Sat Information and communication technology (ICT) is mainly applied to finance, telecommunications, and public sectors. However, since the early 2010s, there have been efforts to apply ICT to various fields such as aerospace, life science, energy, and automobiles. Recently, artificial intelligence and big data technologies have also been applied in the aerospace field, among others. In the field of aerospace, earth observation attracts the most interest. Recently, the number of satellites for earth observation is increasing every year. As small satellites can be manufactured at low cost, the number of small satellite constellation for temporal and spatial resolution is increasing. urban change detection, disaster monitoring, and traffic analysis are typical applications. These applications will be increasing more. When performing earth observation using satellite images, it must process a large amount of satellite information in real time and analyze satellite images with artificial intelligence. These studies are being conducted in a variety of ways, and especially, the area of interest in this study is processing technology for storing and retrieving massive satellite images. As a technology for handling massive satellite information, a multi-dimensional array database plays an important role. Representative examples based on open source software are Rasdaman and SciDB. In 2018, we started developing KIWI-Sat, a system for processing and analyzing massive satellite information for especially supporting Korean satellite images such as KOMPSAT-2, KOMPSAT-3, KOMPSAT-5 etc. KIWI-Sat supports GeoTiff, HDF 5, and JP2 which are main data types of representative satellite images. It is mainly being developed to support Korean...https://video.osgeo.org/videos/embed/661a87f1-e6cc-43d2-b2ab-62cd89afc7dfhttps://video.osgeo.org/w/3NbGXBkL5mn5gJkPhFubPPhttps://video.osgeo.org/lazy-static/thumbnails/05f4acec-52b5-44d6-b34f-4e89dee51ff9.jpgFOSS4G 2022 | Effect of water level on bird habitat at lake MaggioreLake Maggiore and the Ticino River are water bodies shared by Italy and Switzerland: they are important resources for drinking water, irrigation and hydroelectricity generation as well as for tourism and biodiversity. The cross-border character and the often conflicting needs of the different users make the shared management of this resource very complex, but of great importance. The `‘Parchi Verbano Ticino´’ project, funded by Regione Lombardia / EU – INTERREG Italia Svizzera 2014/2020, aims to study the effects of water levels of the lake on various environmental components with a particular focus on protected natural areas. The level of the lake is regulated by a dam located at the southern shore of the lake. In this framework, this study aims to analyse the effect of water level on bird migration by: 1) Calculate the inundated bird habitat using a simulation based on measured water level; 2) calculate the inundated habitat from Sentinel-1 remote sensing imagery 3) Use the flooded area derived from S1 as ground truth to validate the previous simulation 1). The study area is centerend around Bolle di Magadino (Switzerland, 8°51’56.90”E, 46°9’42.17”N, a protected wetland located on the north shore of lake Maggiore at the confluence with the Ticino river. The area is a recognized nesting and stopover site for birds, listed as a Ramsar Wetland of International Importance and as Important Bird and Biodiversity Area (IBA). We defined the habitats of interest using a vegetation map provided by Fondazione Bolle di Magadino. The vegetation types collected from a phytosociological field study were aggregated into ten land cover classes that described the habitat types and land use. The final habitat map covers an extent of 6.7 km², including the 1500 ha of wetland called Bolle di Magadino. Daily passage of migrant birds have been recorded at Magadino ringing station and since 2019, traditional net captures were coupled with an Avian Vertical-looking Radar In this study...https://video.osgeo.org/videos/embed/16a516b2-8450-498a-bda4-9df01780f74dhttps://video.osgeo.org/w/tjgTRDRzUkbcbBkvwkCzMfhttps://video.osgeo.org/lazy-static/thumbnails/c73d7d93-0b4b-4db5-8fae-9d4d92c7e5d2.jpgFOSS4G 2022 | Design and implementation of an Open-Source Web-GIS to manage the public works of…Design and implementation of an Open-Source Web-GIS to manage the public works of Abruzzo Region: an example towards the digitalization of the management process of Public Administrations Design and implementation of an Open-Source Web-GIS to manage the public works of Abruzzo Region: an example towards the digitalization of the management process of Public Administrations According to the goals of the European Communications "2030 Digital Compass: the European way for the Digital Decade" and “Open Source Software Strategy 2020 – 2023” regarding the digitalization and the use of the Open-Source solution inside the Public Administrations, this paper presents the approach followed for the realization of an Open-Source Web-GIS to transfer all the information assets related to the public works, that must be judged by the Regional Technical Administrative Committee (C.R.T.A). The developed Web-GIS consists of a platform to support the “Civil Engineering” authority of the Abruzzo Region in the management of the public works during their whole administrative process. In particular, the main aims of the Web-GIS are: - to manage in a unique shared geospatial database the public works, that must be judged by the C.R.T.A. of the Abruzzo Region; - to monitor the activities and the life-cycle of the public works; - to share information related to the public works both with other regional authority offices and with citizens. In general, the creation of a WebGIS starts from a project created on the client side which, in a subsequent phase, will be loaded on a server to allow the visualization, interaction and distribution of the information among multiple users at the same time. In this case, the creation of GIS project for the management of geo-referenced territorial and alphanumeric information for their description required a careful study of the needs of the “Civil Engineering” authority of the Abruzzo Region and a definition of the contents of the GIS platform, passing th...https://video.osgeo.org/videos/embed/dd33ed3f-6536-4e0d-bb20-0e66bf8fda34https://video.osgeo.org/w/jycC1asn3bhmmSkZ8xJ8yWhttps://video.osgeo.org/lazy-static/thumbnails/e406bc86-c983-4663-9e05-bb5919835181.jpgFOSS4G 2022 | Using Sentinel 2 images to quantify agricultural encroachment in Burkina Faso’s…Using Sentinel 2 images to quantify agricultural encroachment in Burkina Faso’s protected livestock reserves Using Sentinel 2 images to quantify agricultural encroachment in Burkina Faso’s protected livestock reserves In many parts of Burkina Faso, competition over land use has increased tensions and often conflicts between farming and herding communities. Allocating land for farming or grazing is increasingly perceived as a zero-sum calculation among these communities. As a response, the government of Burkina Faso created “Pastoral Zones” across the country as reserves for livestock herders where animals could graze without the risk of entering cropland. Farming in these areas is typically prohibited unless done by herders residing within the reserve. However, farms have appeared in pastoral zones over the years, reducing resources available to herders and exacerbating already fraught tensions between herding and farming communities (Nébie et al 2019). This study uses Sentinel 2 imagery to quantify to what extent agricultural growth is encroaching on two such pastoral zones in Southern Burkina Faso, Niassa and Sondré-Est. This study found a significant growth of agricultural cultivation in both zones between the period of 2016 and 2021. To map agricultural growth, Sentinel 2 imagery was used in Google Earth Engine (GEE). Reproducibility and accessibility were prioritized, hence the use of a free platform and open EO data was prioritised. Google Earth Engine stood out as an accessible cloud platform to easily access the imagery and run the analysis (Gorelick et al, 2017). To visualise agricultural areas, the “3 Period Timescan” (3PTS) Method was employed. This method uses a series of NDVI Images from the Sentinel 2 satellite throughout a growing season to isolate areas of active cultivation. This product consists of a Red-Green-Blue composite of Sentinel-2 Images where the red band represents the maximum NDVI value during the first period of the growing season, ...https://video.osgeo.org/videos/embed/96437543-08d6-43c8-96df-946e08d37012https://video.osgeo.org/w/rsk9HNUScZw7cBQR8hZBArhttps://video.osgeo.org/lazy-static/thumbnails/33950a5c-9cd1-4bce-95cc-7a0bc7ee2f45.jpgFOSS4G 2022 | A method for universal superpixels-based regionalization (preliminary results)Generalization is one of the fundamentals of scientific research. In the context of spatial information, generalization needs to allow for finding common properties but also for spatial contiguity. Therefore, such generalization is often made through regionalization - partitioning of space into spatial clusters or regions. This process is vital for environmental studies, where many patterns and processes are autocorrelated spatially. Examples of regionalizations include delineation of ecoregions, detection of homogeneous zones for precision agriculture, definition of climate regions, and so on. Traditionally spatial generalization was performed manually, often based on a compilation of pre-existing, independently conducted studies. This approach lack of quantitative framework, and thus no systematic checks, modifications or objective updates are possible. Currently, the abundance of remote sensing spatial data, such as satellite imagery, gridded climate data, or land cover maps, allows fast extraction of relevant spatial information on regional and global scales, making possible studies rooted in a clear quantitative framework. Such data, however, still requires spatially-aware generalization to formulate general concepts or claims. Remote sensing data stores information as a set of raster cells, where a single cell is unaware of its spatial context. This is often not enough to understand underlying objects or processes. (Geographic) object-based image analysis (OBIA) (Blaschke 2010) is frequently applied to resolve this issue. It is an approach to partition space consisting of raster cells into homogeneous objects and thus make spatial regionalization possible. Several generalization techniques were developed for OBIA, including a superpixels approach that proved to perform best for image processing and remote sensing data analysis (Csillik 2017). The main idea of superpixels is to create connected groupings of cells with similar values (Ren and Malik 2003; Acha...https://video.osgeo.org/videos/embed/ce219b39-9f4a-4670-9329-9a3440cad241https://video.osgeo.org/w/9tdyVPoCxHGBs5Vw7Ji553https://video.osgeo.org/lazy-static/thumbnails/0c26018c-8af2-4aff-931d-81cc4dd7d88a.jpgFOSS4G 2022 | Tourism, natural protected areas and Open Source Geospatial technologiesThe Covid-19 outbreak has greatly impacted society behaviours fostering proximity tourism and valorising the social role of peri-urban natural protected areas as key locations for outdoor activities [1]. This shift in habits calls for an adaptation in the next years of the offerings and management of these areas to respond to users' expectations of positive experience opportunities in near-by locations [2]. In the context of digital transformation and peri-urban protected areas, this research investigates the contribution that open geospatial technologies can provide in the creation of new economic, social and cultural values to propose solutions and identify gaps or open issues. The adopted methodology is the “case study approach”, in which real cases are used to design, develop, implement, collect and analyse data to extrapolate information that contributes to a deeper knowledge of the matter. This research is framed in the context of the Interreg INSUBRI.PARKS (www.insubriparksturismo.eu) and among the project’s parks the selected case studies for technological testing are the Parco Gole della Breggia and the Collina del Penz. While being two natural protected areas closely located in the southern part of Switzerland, in the Canton Ticino, they greatly differ for in-place management structure, available offers and users’ type and therefore represents different needs. From the discussion with local tourism organisations and park administrators we have identified three specific aspects that are of particular concern: (a) the creation of 3D digital products, (b) the monitoring of touristic fluxes and (c) the conduction of parks management activities. This work presents the intermediate results of the development and testing of different selected solutions which describes the approach, the issues and the potential of explored solutions with respect to the open source software. 3D digital products - In addition to a more traditional use for conservation scopes and ...https://video.osgeo.org/videos/embed/4495efab-0ddd-42d4-b05a-55504eb3c482https://video.osgeo.org/w/2u3sH3uqmXRh5HpTMNmWYLhttps://video.osgeo.org/lazy-static/thumbnails/6d9c0ba6-58af-4478-8ffc-60b23c2ed432.jpgFOSS4G 2022 | Scaling-up deep learning predictions of hydrography from IFSAR data in Alaska1. INTRODUCTION In a new initiative to deliver higher-quality data and support improved geospatial analysis, the U.S. Geological Survey (USGS) is upgrading the elevation and hydrography datasets into the 3D National Topography Model (3DNTM), which will include fully integrated hydrography and elevation. The USGS 3D Elevation Program (3DEP) recently completed acquisition of interferometric synthetic aperture radar (IfSAR) elevation data at 5-meter spatial resolution for Alaska (USGS, 2022). Other parts of the United States are being mapped at higher resolution with lidar-derived elevation data. Under the 3DNTM, new hydrography data are acquired through methods that derive or extract the features directly from best available 3DEP elevation data to ensure proper integration of the hydrography and elevation layers. By applying specifications for deriving 1:24,000 or larger scale hydrography from high resolution elevation data (Archuleta and Terziott, 2020; Terziotti and Archuleta, 2020), a tenfold increase in the number of features in the National Hydrography Dataset (NHD) is expected. Consequently, highly automated machine learning methods to extract and validate the hydrography data collection are being investigated. Xu et al. (2021) demonstrated that the U-net fully convolutional neural network (Ronneberger, Fischer, and Brox, 2015) is capable of extracting hydrography from lidar elevation data with 80 to 90 percent accuracy. Stanislawski et al. (2021) applied a similar U-net model using several IfSAR and IfSAR-derived input layers to predict hydrography for a 50-watershed study area in northcentral Alaska, where 68 percent average F1-score accuracies were achieved on test watersheds. Further work to refine U-net predictions of hydrography using IfSAR for the same 50-watershed area in Alaska achieved average F1-scores for test watershed of better than 80 percent (Stanislawski et al., 2022). Research presented in this paper builds upon this earlier work by testing ...https://video.osgeo.org/videos/embed/0c037b04-d553-4ad8-a332-f4f4d5865cd4https://video.osgeo.org/w/6ModvsAjGHuswHx5RURKLehttps://video.osgeo.org/lazy-static/thumbnails/02db4243-6d6e-4ddf-ad2f-646456aff26a.jpgFOSS4G 2022 | Mapping Mt. Ushba – How to create a high-quality topographic map from open data using…Mapping Mt. Ushba – How to create a high-quality topographic map from open data using free software Mapping Mt. Ushba – How to create a high-quality topographic map from open data using free software Mt. Ushba is situated in the Greater Caucasus in Georgia, next to the Russian border. With its nearly symmetrical double peak appearance, it is iconic and a symbol of the historic Svaneti region in Georgia, famous for its mountains, botany, and century-old defense towers. Svaneti is becoming an increasingly popular tourist destination in summer and winter. Therefore, the German Alpine Club is interested in providing a new map for this region, which will be produced by the Institute of Cartography of the TU Dresden. In the age of open data, it is consequential that OpenStreetMap will be an essential source of the new map. It should make the project more sustainable and inspire people to use free and open-source software for map production. One basis of each topographic or touristic map is fieldwork, which means organized mapping and editing with OpenStreetMap aiming to verify and to complement map content and coverage[1], carried out by the Institute of Cartography in Mestia (Georgia) in the summer of 2021. Preparing for this work, a comparison with older maps was conducted to identify possible shortcomings and errors in the data. A draft was created using OpenStreetMap and the SRTM elevation model, preparing for the fieldwork. It helped to evaluate the current state of the data, gave a first impression of the mapping area, and was an ostensive basis for data capturing in field. A field book was produced for each participant, containing the map draft as an atlas and information on which data should be collected and which the specific attributes were required. Finally, the data was contributed to OpenStreetMap, and from there, the draft was updated again. In the case of land cover, creating an own classification seemed beneficial in distinguishing between typical vege...https://video.osgeo.org/videos/embed/2ed3da94-ca87-42e5-95eb-cd612612f719https://video.osgeo.org/w/vLPuPiu9Qj4TXPEVkF6znChttps://video.osgeo.org/lazy-static/thumbnails/1bf34853-f5c1-4e9e-83a9-daf1b7f60a7f.jpgFOSS4G 2022 | OpenStreetMap Element Vectorisation - A tool for high resolution data insights and…OpenStreetMap Element Vectorisation - A tool for high resolution data insights and its usability in the land-use and land-cover domain OpenStreetMap Element Vectorisation - A tool for high resolution data insights and its usability in the land-use and land-cover domain # Introduction OpenStreetMap (OSM) has evolved to one of the most used geographic databases. It is a major knowledge source for many geographic topics addressed by researchers, professionals and the general public. To satisfy these diverse needs and capabilities, the linked communities surrounded the project with an ever growing ecosystem of analyses tools (e.g. OSM Contributors, 2022). The most prominent analysis topic is data quality (Senaratne et al. 2015) where e.g. intrinsic indicators are used to estimate completeness (Brückner et al. 2021). Furthermore the community is also interested in insights such as leader-boards or activity reports (e.g. Neis, 2022). In recent years analyses have also more and more shifted towards doing large scale analyses (e.g. Herfort et al. 2021). This diversity of tools can be a challenge for data users who will find themselves in a universe of highly specialised or complex tools using different programming languages, platforms, interfaces, output formats etc. While there have been efforts to provide users with higher level data insight and analyses platforms, these still mostly concentrate on or are limited to certain topics or regions. To our knowledge no tool exists to analyse and combine topic independent aspects of the data at the highest possible resolution: single OSM elements. The presented software (available at https://gitlab.gistools.geog.uni-heidelberg.de/giscience/ideal-vgi/osm-element-vectorisation) sets out to bridge this gap by integrating multiple aspects of the OSM ecosystem into one workflow that allows the quantitative assessment of selected OSM elements or all elements in a defined region. This enables new insights in a formalised and easy to...https://video.osgeo.org/videos/embed/f11b0499-ffb4-4b90-ac6f-578db92c34e2https://video.osgeo.org/w/aQ7H7ippSsyG47HB8FEJWKhttps://video.osgeo.org/lazy-static/thumbnails/85e7c56a-7174-4e63-b1c5-572afcd16c56.jpgFOSS4G 2022 | 2D/3D soil consumption tracking in a marble quarry districtComplex quarry districts like Apuan Alps’ marble quarries require remotely sensed high resolution data for soil consumption monitoring over the years: extractive activities lead to environmental challenges that require accurate environmental controls issued by the Tuscan Regional Environmental Agency (ARPAT). The Regional Environmental Information System office (SIRA) over the last 5 and 10 years has developed methods and techniques suitable for both 2D and 3D soil consumption monitoring by using free aerial and satellite images and Open Source Geo-spatial Software for data processing and data dissemination useful in controls’ planning and management. Aerial images and LiDAR acquisition, satellite data, RPAS acquisitions have been tested in order to evaluate their suitability in deriving both 2D and 3D indicators with proper resolution to address required spatial-temporal constraints, i.e. yearly monitoring of high resolution changes (spatial resolution between 50cm and 1m). Due to the size of the Area of Interest (AOI) of the Carrara basins, up to 2.5km x 2.5km, stereo satellite and aerial images can be used to obtain precise terrain models by photogrammetric reconstruction useful in 3D soil consumption monitoring, while middle-resolution (10m) multi-spectral satellite images and high-resolution aerial images (50cm-1m) can be used in 2D soil consumption monitoring and quarries’ area regulations by public bodies (natural soil loss, exhausted areas restorations, debris removals and new disposals). Open-access Sentinel-2 multi-spectral satellite images with 10m of spatial resolution have been used to assess coverage changes; the results have been subsequently refined by manual interpretation over 5 years (2016-2021). Both semi-automatic methods based on spectral distances and machine learning techniques have been used to identify areas affected by extraction activities in QGIS 3.x environment over Sentinel-2 images. Free OGC Web Map Services (WMS) made available by...https://video.osgeo.org/videos/embed/4f9a1554-d89c-424c-9385-10153cd1a84fhttps://video.osgeo.org/w/kGTGRV44rWUmYv1Dv7Q29Xhttps://video.osgeo.org/lazy-static/thumbnails/ab4b4455-6e19-426c-a473-15b573ec855a.jpgFOSS4G 2022 | Mapping the Chatter: Spatial Metaphors for Dynamic Topic Modelling of Social Mediaopic modelling is a branch of Natural Language Processing that deals with the discovery of conversation topics in a document corpus. In social media, it translates into aggregating posts into topics of conversation and observing how these topics evolve over time (hence the “dynamic” adjective [Murakami, 2021]). Conveying the results of topic modelling to an analyst is challenging since the topics often do not lend themselves naturally to meaningful labelling, where relationships between them can involve hundreds of dimensions. Furthermore, the popularity of topics is itself subject to change over time. In this paper, we propose a spatialization technique based on open-source software that reduces the intrinsic complexity of dynamic topic modelling output to familiar topographic objects, namely: ridges, valleys, and peaks. This offers new possibilities for understanding complex relationships that change over time, that overcomes issues with traditional topic modelling visualisation approaches such as network graphs [Karpovich, 2017]. Spatialization [Fabrikant, 2017], a technique that uses spatial metaphors to aid cognitive tasks, has been a research field since the early ‘90s. It can be used to make sense of vast amounts of information by reducing them to a physical landscape. In this work, we consider spatialization of topics in a 3D space where the X-axis is the similarity of topics posted on the same day, the Y-axis is the similarity of topics across time and how their relationships evolve, and the Z-axis is a measure of the topic popularity. With this approach, a topic is therefore reduced to a single point in a 3D space, and the interpolated surface constructed out of these points becomes a landscape with peaks, ridges, and valleys. More precisely, the “valleys” represent less popular topics, while “peaks” are the more popular ones and flat surfaces indicate the average topics. Our team is working on the Australian Data Observatory project, which has been col...https://video.osgeo.org/videos/embed/9f933fd6-6fcd-4894-be47-f825f1e2bc6bhttps://video.osgeo.org/w/39ghF7ZDXNxe8YdJrKXz5Yhttps://video.osgeo.org/lazy-static/thumbnails/79d9bdc2-a26c-49bc-9978-503fb4c4bcf1.jpgFOSS4G 2022 | A knowledge graph prototype for national topographic dataSpatial data infrastructures prioritize data interoperability to serve their diverse communities. Geospatial knowledge graphs (GKG) are a form of database representation and handling that aim to meet the challenges of data interoperability, reasoning for information storage and knowledge creation, and user access that provide coherent spatial context to a domain of information. This paper discusses the development of a prototype GKG based on national topographic databases. Geospatial data are used to test interoperability aspects of ontology creation, faceted search and retrieval using GeoSPARQL (Open Geospatial Consortium, 2022), and user interface for data visualization and evaluation. The challenges are to capture and represent geographic semantics inherent in the source data, to integrate data from outside sources through SPARQL Protocol and RDF Query Language (SPARQL) queries and to visualize the data using a cartographic user interface. Poore (2003) identified four levels of data interoperability: articulation, sharing, integration, and alignment. These concepts are carried into the semantic technology design and application. Called the Map as Knowledge Base (MapKB), the approaches use software components to build a system architecture aligned with available standardized vocabularies and is composed entirely of free and open-source software for geospatial data The application was created in the context of The National Map of the U.S. Geological Survey (USGS). For purposes of data interoperability, the GKG ontology, queries, and visualization were studied for the system. Data pre-processing involved creating a GKG ontology. The ontology was semi-automatically transformed from source databases through the application of rules on schema attribute, domain, and metadata files to create classes, properties, and other triple resources of Resource Description Framework (RDF) and Web Ontology Language (OWL) (Hayes and Patel-Schneider, 2014; Hitzler and others, 2012)...https://video.osgeo.org/videos/embed/1159a613-3f96-477f-ad17-e4930684be2chttps://video.osgeo.org/w/nuQNgLnFpfxA4BGwq4kNBKhttps://video.osgeo.org/lazy-static/thumbnails/aa5fd2ba-69a9-4272-b740-b4d2aa27cb22.jpgFOSS4G 2022 | Analysis of Free and open Land Cover maps for agricultural land use planning at the…Analysis of Free and open Land Cover maps for agricultural land use planning at the local level Analysis of Free and open Land Cover maps for agricultural land use planning at the local level The area of agricultural land for food production is limited and is constantly decreasing both in the world and in Bosnia and Herzegovina. According to the National Action Plan in Bosnia and Herzegovina (B&H), up to 1,600 ha of land are lost annually (NEAP BiH 2003). The prevention of degradation and sustainably controlled land use should be the most important parts of the land protection policy of every country and the local community. In order for this policy to be implemented properly, relevant indicators of the state of land resources are necessary (Predic et al. 2021). According to the Law on Agricultural Land of the Republic of Srpska, municipalities and cities are obliged to prepare a planning document “Groundwork for Agricultural Land Protection, Use and Restructuring (The groundwork)”. The Groundwork is made according to the FAO (Food and Agriculture Organization) model which consists of an inventory of land and climate resources, agro-ecological zoning, and economic-ecological zoning. With GIS modeling of existing data (pedology, digital elevation model, climate data,...) new relevant data were created (bonity, agro-ecological zoning, suitability of cultivation…). It is intended for municipal authorities in decisions making in the process of land use and protection. GIS layer of the current condition of land cover and land use (hereinafter LC/LU) is one of the most important GIS layers for creating Groundwork. It is necessary to make a precise GIS layer on a large scale in order to obtain relevant data on agricultural land and land use. The most precise method of making LC/LU is manual mapping of LC/LU classes with orthophotos and high-resolution satellite images combined with field verification. The critical point of this method is that it is time consuming. On t...https://video.osgeo.org/videos/embed/ae16cf64-6f64-4b47-89c9-8b4a6f4ab439https://video.osgeo.org/w/ouc8ukWVrVVskFSs2cpDRphttps://video.osgeo.org/lazy-static/thumbnails/64a42b89-85d9-4844-bbff-8e3f7ec77405.jpgFOSS4G 2022 | Computing Global Harmonic Parameters for Flood Mapping using TU Wien’s SAR Datacube…Computing Global Harmonic Parameters for Flood Mapping using TU Wien’s SAR Datacube Software Stack. Computing Global Harmonic Parameters for Flood Mapping using TU Wien’s SAR Datacube Software Stack. Synthetic Aperture Radar (SAR) backscatter is adept in differentiating standing water, due to its low signal, compared to most non-water surface cover types. However, the temporal transition from non-water to water is critical to identifying floods. Hence objects with permanent or seasonally low backscatter become ambiguous and difficult to classify. TU Wien's flood mapping algorithm utilizes a pixel-wise harmonic model derived from SAR datacube (DC) (Bauer-Marschallinger et al., in review) to account for these patterns. Designed to be applied globally in near real-time, our method applies Bayes inference on SAR data in VV polarization. In this method, the harmonic model generates the non-flooded reference distribution, which we then compare against flooded distribution to delineate floods within incoming Sentinel-1 IW GRDH scenes. In the harmonic modeling, we estimate each location's expected temporal backscatter variation, explained by a set of Fourier coefficients. Following recommendations in the literature, a seven coefficient formulation was adopted (Schlaffer et al.,2015) and is here on referred to as our harmonic parameters (HPARs). The HPARs include the backscatter mean and three iterations of two sinusoidal coefficients. This model acts as a smoothened proxy for the measurements in the time series, thus allowing for a seasonally varying backscatter reference to be estimated for any given day-of-year However, generating the harmonic model at a global scale and with high resolution presents significant logistical and technical challenges. Therefore, harmonic modeling of remotely sensed time series is often performed on specialized infrastructures (Liu et al., 2020), such as Google Earth Engine (GEE) (Gorelick et al., 2017) or other highly customized setups (...https://video.osgeo.org/videos/embed/b618bc11-6aaf-4d1b-bf5b-707bf3cbf4cdhttps://video.osgeo.org/w/9ceAi1rrJY65y9D6d6pcmThttps://video.osgeo.org/lazy-static/thumbnails/4b17e872-a1c6-4767-9a1b-6e9a2dd63a8f.jpgFOSS4G 2022 | Efficient three-dimensional survey techniques and their comparison in open software…Efficient three-dimensional survey techniques and their comparison in open software in the archaeological test site of "Ninfeo maggiore" and "Ninfeo minore" of Formia (latina, Italy) Efficient three-dimensional survey techniques and their comparison in open software in the archaeological test site of "Ninfeo maggiore" and "Ninfeo minore" of Formia (latina, Italy) The survey took place in part of the so-called Roman Villa of Caposele, also known as Villa Rubino (Giuliani and Guaitoli 1972; Cassieri 2015). The Villa, built by the Dukes of Marzano and subsequently passed into the hands of Charles of Ligny, Prince of Caposele, was purchased by Ferdinand II of Bourbon in 1845, with the aim of making it a luxurious summer residence. The building overlooks the inlet of Caposele, where there must have been a small harbour, and is squeezed between the Via Appia and the sea. To the west of the small port are the remains of an imposing structure with a central courtyard, datable to the 1st century B.C., which scholarly tradition has identified as Cicero's Academy or School, although it is probably a horreum, testifying to the utilitarian vocation of this area of the villa. In later phases, while retaining its intended use, the horreum would be incorporated into a residential building complex together with other structures further to the west that, too, may have served as warehouses in the earlier phase. To the east of the marina is the residential area, the area in which the survey operations were concentrated. Here, on a front about 140 metres long, there are a series of rooms with barrel vaults that were probably part of the basis villae of the building. In two of these rooms are the so-called minor and major nymphaea. The first consists of an almost quadrangular room with a roof supported by four Doric brick columns; on the back wall, in a large niche, spring water gushes out. The wall decorations include stucco, shells and incrustations of glass paste and small stones....https://video.osgeo.org/videos/embed/425aaaaa-6f37-4e6a-9d63-836abe11776fhttps://video.osgeo.org/w/uJW6H1wCoVATK8PZioymVzhttps://video.osgeo.org/lazy-static/thumbnails/964771cd-8a42-49f6-bf17-4ea8cee6b9ec.jpgFOSS4G 2022 | Geo-ICTs for Good: a MOOC on GIScience for Climate JusticeThe last two decades have seen the development and diffusion of new technologies and digital ecosystems for managing geographic data. These include, among others, smartphones, drones and open access satellites on the one hand, and the web 4.0, GIS, WebGIS, geo-app and georeferenced data, both open-source or proprietary, on the other. This great variety of tools, accompanied by the sharing of new digital knowledge and skills, have made the creation and management of spatial information much more accessible than it was in the past. This has led to a proliferation of processes for exploring, creating and sharing geographical data from below as a way for citizens, that assume the role of neo-geographers or prosumers, to take part in decision-making in different kind of processes, such as territorial, environmental and climate change issues (Goodchild, 2009; Capineri et al., 2016; See et al., 2016). However, these are ongoing processes that have still to face technological, cognitive and economic barriers. Universities with the use of open-source geo-information and communication technologies (Geo-ICTs) in enhance geographical learning should be a primary actor in supporting students and citizens in developing their own spatial thinking in a more efficient and engaging way (Käyhkö et al., 2021). In fact, this is remarked also in objective 4 of the Sustainable Development Goals "to guarantee quality, inclusive and equitable education and to promote lifelong learning opportunities for all” and many universities have signed the Higher Education Sustainability Initiative (HESI) which commits them to integrate the concepts of sustainable development into the curricula. In this framework is involved also University of Padova (Italy) with its Jean Monnet Centre of Excellence on Climate Justice (Jean Monnet Erasmus+ project 2021-2023) led by the research group “Climate change, territories, diversities” (https://www.climate-justice.earth/). The Centre is trying to respond to t...https://video.osgeo.org/videos/embed/e8be75cb-d8ba-4478-ae30-77b4ef8389b3https://video.osgeo.org/w/6pTRbGY8iesVrZGNgKWzTLhttps://video.osgeo.org/lazy-static/thumbnails/60f16a04-9dbc-4dcb-8bf7-2325186745f1.jpgFOSS4G 2022 | From QGIS to Python: comparison of free and open tools for statistical analysis of…From QGIS to Python: comparison of free and open tools for statistical analysis of cultural heritage and data representation From QGIS to Python: comparison of free and open tools for statistical analysis of cultural heritage and data representation Thankfully to the European Commission initiatives such as INSPIRE (2007) and other governmental policies, spatial data are available publicly on different national, regional and municipality geoportals for further use. When it comes to the cultural heritage and Italian context, based on the decree of the Ministry of Culture (MiBACT, 2008), different activities concerning heritage has been assigned to the ICCD (i.e., Central Institute for Catalogue and Documentation) such as research and technical-scientific collection of the documentation and coordination of cataloguing of cultural heritage and its digitalization. These regulations allowed the public entities to share substantial information about geographical and spatial data with a wider audience. Specifically in the region of Lombardy, data about cultural heritage are catalogued in SIRBeC (i.e., Regional information System for Cultural Heritage) that has been promoted since 1992 and continues collecting, managing, and publishing a vast amount of information. Vector shapefiles are freely available for download on the Geoportale Lombardia. The scope of the research was collecting information about cultural heritage in Lombardy that is freely accessible online. Data downloaded are point and polygon features files of the position of the cultural heritage. Furtherly, the methodology developed deals with the use of QGIS, as the open and free software together with the Python console integrated into the software and finally using the online software of the integrated development environment (IDE) named Replit that is free, open, collaborative and in-browser Python coding application. The methodology is based exclusively on free and open sources, starting from the collect...https://video.osgeo.org/videos/embed/2bd3c0a2-a114-4f43-ad57-648035f5325ehttps://video.osgeo.org/w/ioXzr86FJ2LscNwv39pfCfhttps://video.osgeo.org/lazy-static/thumbnails/f5ef98cf-a0a7-4ddd-b177-10961eae15c3.jpgFOSS4G 2022 | Classifying American Viticultural Areas Based on Environmental DataIntroduction: Legally defined appellation areas are used by governments throughout the world to demarcate geographic areas that produce agricultural products, such as wine, cheese, or preserved meats, with a specific quality or set of characteristics. In the United States, the American Viticultural Areas (AVAs) define wine growing areas that are distinctly different from others. These boundaries are created by the US Alcohol and Tobacco Tax and Trade Bureau (TTB) through a legal process and the definitions are published in the United States Federal Register in narrative form defined using United States Geological Survey (USGS) topographic maps for their landmarks. Despite their geographic definition, a full spatial dataset of these boundaries following the legal definitions did not exist until they were created by a team of researchers led by the University of California Davis’ (UC Davis) library. The purpose of the dataset is to produce open data suitable for use in research and cartography following a well-documented set of methods that represents the official boundary descriptions with as high fidelity as possible. Using the UC Davis AVA dataset alongside datasets defining environmental characteristics such as soils, climate, and elevation, we seek to understand how the characteristics present within the AVA boundaries are similar to each other using a hierarchical clustering process. Through this case study, we will describe the UC Davis AVA boundary dataset and demonstrate a use case for the data. Data: The UC Davis AVA dataset was created by digitizing the boundary narrative onto the USGS topographic maps described in the legal documents (officially known as the “approved maps”) for each AVA by a team of collaborators at UC Davis, UC Santa Barbara, and Virginia Tech University, as well as community volunteers. For each boundary, we recorded attributes including an identifier, the official name of the AVA, any synonyms for the name, the dates the AVA officia...https://video.osgeo.org/videos/embed/8cdff869-1d0e-4ed5-b520-95a4da6ba1c6https://video.osgeo.org/w/54AbL2E15rsYwRkhGBCkkahttps://video.osgeo.org/lazy-static/thumbnails/03bde9f6-cb47-4093-a2b7-2355eee13e49.jpgFOSS4G 2022 | Maplibre-rs: Toward portable map renderersMap renderers play a crucial role in various applications deployed in Web, desktop, mobile, and embedded environments. For instance, we rely upon them to travel, commute, find the best hotels and restaurants, and locate our closed ones. More digital applications emerge in various areas, such as urban planning, transportation, or even pandemic monitoring, as they get adopted. Beyond digital environments, it is worth noting that maps also get printed in books, reports, or pieces of urban furniture. In this context, code portability, i.e., the ability to use the same codebase on various platforms, is a common problem. For instance, Mapbox and Maplibre both maintain a JavaScript codebase for the Web (e.g., maplibre-gl-js) and a C++ codebase for native platforms (e.g., maplibre-gl-native). These codebases enable their renderers to run in all major browsers (thanks to WebGL), in the main desktop and mobile environments, on servers (e.g., for headless rendering), and in cars, planes, or embedded settings. Guarantying that these renderers behave similarly and produce the same outputs on all these platforms is hard, costly, and slows down the ability of development teams to innovate and improve renderers. In this paper, we review the most popular map renderers from a portability point of view. We show that the existing codebases written in Javascript, C++, and Java fail at least in one area or another at producing a portable map renderer. Additionally, we present a state of the art for code portability, and we describe emerging standards and technologies that promise to enable truly portable and high-performance map renderers written in C++ or Rust to emerge. Among these emerging technologies, we find: - *Rust -* Rust is a high-level programming language designed for safety and high performance. The project started at Mozilla and is now developed by the Rust foundation. Its compiler targets native architecture, enabling it to compile applications for desktop (x86) and mob...https://video.osgeo.org/videos/embed/20e4da7f-e5f8-4208-a22f-b9776e8b5e53https://video.osgeo.org/w/u4Dk3MnydmfNvQtbYkU7AMhttps://video.osgeo.org/lazy-static/thumbnails/1dc9f287-6655-4cfd-a631-47564502d928.jpgFOSS4G 2022 | Assessing land surface temperature in urban areas using open-source geospatial toolsLand surface temperature (LST) in urban areas is an important environmental variable considered a reliable indicator of the urban heat island (UHI) phenomenon. LST is affected by various factors such as solar irradiance, cloudiness, wind or urban morphology. Traditionally, LST is observed and recorded by thermal remote sensors. For example, thermal satellite sensors are very popular for assessing the UHI effect on a global scale such as MODIS, Sentinel 3, ASTER, Landsat 7 ETM+, or Landsat 8 TIRS. However, these sensors provide rather low spatial (60 m to 1000 m) and temporal resolutions (several hours to days) of satellite observations that limit the accurate estimation of LST in urban areas for local studies and specific time periods (Mushore et al., 2017), (Hu and Wendel, 2019). Airborne or terrestrial remote sensing can be viewed as another option for capturing higher spatial resolution of thermal data but it is not feasible to be used for large urban areas with increased periodicity. However, the increasing availability of the high-resolution geospatial data and adequate modeling techniques provide an alternative approach to high-resolution estimation of LST in urban areas. Several studies showed the potential of geographic information system (GIS) tools, digital surface models (DSM) and 3-D city models for the estimation of solar radiation in urban areas (e.g., Hofierka and Kaňuk, 2009; Hofierka and Zlocha, 2012; Freitas et al., 2015; Biljecki et al., 2015). Solar irradiance is a key factor affecting LST during daylight periods, especially under clear sky situations. Nevertheless, LST assessment requires a physical model combining surface-atmosphere interactions and energy fluxes between the atmosphere and the ground. Properties of urban materials, in particular, solar reflectance, thermal emissivity, and heat capacity influence the LST and subsequently the development of UHI, as they determine how the Sun’s radiation energy is reflected, emitted, and absorb...https://video.osgeo.org/videos/embed/e3421e45-1747-4d2b-8eb6-6c6166b51e09https://video.osgeo.org/w/6K4GsuA1HdXdk9k41aBkQZhttps://video.osgeo.org/lazy-static/thumbnails/fc252bca-70f1-4dc8-b348-864aa78feb9f.jpgFOSS4G 2022 | How much “15-minutes” is your city? Using open data to measure walking proximityThe challenges posed to the current urban mobility model by pollution-related and urbanisation issues have resulted in significantly increasing the importance of urban resilience. Mobility management, pandemics’ spreading, equal access to services and climate crisis are just some of the crucial issues that falls within the definition of urban resilience. One very promising solution aiming to solve many of these issues has been presented in 2016 by Professor Carlos Moreno under the name of “15-minutes city”. The paradigm is based on the idea that every citizen should be able to reach the essential services (supermarkets, shops, parks, etc) walking not more than 15 minutes from their home. The model is being tested in some metropolitan cities around the world (e.g. Paris). However, reorganizing the city so that it presents a 15-minutes structure is not an easy task. It requires large resources and a careful planning based on data, to make sure that the project undertaken will actually have a positive effect on the urban mobility and no asset is wasted on useless projects. The Business Innovation team of Dedagroup Public Services used Open Street Map data to develop an index to detect the local level of proximity within the city, showing both the areas that already conform to the 15 minutes model and the ones that do not, where taking action would improve the quality of life of the citizens living there. The presentation will be focused on this proximity index, describing the assumptions behind its definition, such as the choice of city services to be considered essential, the nature of the road network used to compute walking distances and the area tiling chosen for the task. The index will be then showcased on the city of Florence, together with an analysis of the city from a proximity point of view and a what if scenario: how would the index change if the municipality (and other relevant stakeholders) decided to make interventions on low proximity areas? The case...https://video.osgeo.org/videos/embed/2e80f43f-8326-4994-b99d-a6478b16260dhttps://video.osgeo.org/w/eZrPD3YNnwcYPgCqjoWTuhhttps://video.osgeo.org/lazy-static/thumbnails/091e47a6-9fcb-4f95-8413-72c1c0539d4f.jpgFOSS4G 2022 | The use of open source software for monitoring bee diversity in natural systems: the…The use of open source software for monitoring bee diversity in natural systems: the BEEMS project The use of open source software for monitoring bee diversity in natural systems: the BEEMS project This work wants to highlight the results obtained during the BEEMS (Monitoring Bee Diversity in Natural System) project, which the main goal was to answer the following question: Which biotic and abiotic indicators of floral and nesting resources best reflect the diversity of bee species and community composition in the Israeli natural environment? To this end, the research was oriented towards the cost-effectiveness analysis of new aerial geomatics techniques and classical ground-based methods for collecting the indicators described above, based only on open-source software for data analysis. The study involved the Israeli and Italian teams, focusing the attention on two complementary study systems in central Israel, the Alexander Stream National Park, an area undergoing an ecological restoration project in a sandy ecosystem, and the Judean foothills area, to the South of Tel Aviv. In each study system, different surveys of bees, flowers, nesting substrates and soil, using classical field measurement methods have been conducted. Simultaneously, an integrated aerophotogrammetric survey, acquiring different spectral responses of the land surface by means of Uncrewed Aerial Vehicle (UAV) imaging systems have been performed. The multispectral sensors have provided surface spectral response out of the visible spectrum, while the photogrammetric reconstruction has provided three-dimensional information. Thanks to Artificial Intelligence (AI) algorithms and the richness of the data acquired, a methodology for Land Cover Classification has been developed. The results obtained by ground surveys and advanced geomatics tools have been compared and overlapped. The results are promising and show a good fit between the two approaches, and high performance of the geomatics tools in...https://video.osgeo.org/videos/embed/714c1c46-4c80-42f9-abe8-b85a67c98aa4https://video.osgeo.org/w/g2MVgES9VAiJ8VpBMjwck8https://video.osgeo.org/lazy-static/thumbnails/b2435b32-a1e8-4dde-af88-3b01a93ecc53.jpgFOSS4G 2022 | The Growth of OSM Communities in Tanzania Through Community MicrograntsThe growth of OpenStreetMap communities (OSM) in Tanzania is taking shape as most organizations, institutions, and communities in general, are recognizing the importance of using and contributing to OpenStreetMap data. To support the growth of OSM communities in Tanzania, OpenMap Development Tanzania with her partner the Humanitarian OpenStreetMap Team (HOT) awarded microgrants to seven OSM communities in Tanzania - See the supported communities here. The grants provided are supporting these communities to leverage the use of OSM and mapping to help solve different community challenges by facilitating training/workshops, purchasing tools and equipment, supporting staff, and other logistics. Most communities work in peripheral regions with a minimal understanding and use of open data and mapping technologies like OpenStreetMap, OpenDataKit QGIS, etc. The first phase of project implementation ended with great successes and lessons learned from these communities. The general success of the microgrants so far include the following: 1. Transforming communities from using traditional data collection to digital open source tools such as ODK and Kobocollect has greatly improved data management and analysis. For instance, Agri Thamani Foundation and LAVISEHA are among microgrant recipients who are new to OpenStreetMap and other open mapping technologies for generating open data; however, they now use different tools, i.e. Kobotoolbox, OpenDataKit, OSM, and Tasking Manager, to collect data for their interventions in nutrition and gender-based violence. 2. Connecting OSM communities in Tanzania and encouraging collaboration in various tasks and opportunities. The grant provided an opportunity for local OSM communities in Tanzania to work together; a good example is Hope for Girls and Women in Tanzania, giving training to LAVISEHA on how communities can use open source tools like ODK to report the cases of GBV for rescue. 3. Creating awareness about OSM and other com...https://video.osgeo.org/videos/embed/79b91f36-351d-43c1-aabc-f29c89678511https://video.osgeo.org/w/fEjrFNfaqoDvvd6k7ymNw4https://video.osgeo.org/lazy-static/thumbnails/898c477d-438d-4d78-8566-2fa4cd968ed7.jpgFOSS4G 2022 | Mapping Historical "Street View" Images of New York City: Visualizing Geotagged…Mapping Historical "Street View" Images of New York City: Visualizing Geotagged Archival Photos Street-level photographs of New York City from the early 1900s show how people used to live, from their clothes and vehicles to their stores and advertisements. Several open source projects have mapped archival “street view” images of New York, relying on various collections of photos with locations. These interactives, primarily built with Mapbox GL JS, are instructive when visualizing a newly-digitized archive, in this case a set of over 60,000 photos from the construction of the NYC subway between 1900 and 1950 with approximate coordinates. 1. “Street View, Then & Now: New York City's Fifth Avenue” (http://publicdomain.nypl.org/fifth-avenue) compares 1911 wide-angle photographs from the New York Public Library to 2015 Google Street View imagery. A mini-map shows each photo’s location and field of view, and a visitor to the site can “go south”, “go north”, or “cross the street” using the arrow keys. The project came out of the NYC Space/Time Directory (http://spacetime.nypl.org), an initiative to communicate the history of the city using historical maps, geodata, and open source tools. Code: https://github.com/nypl-publicdomain/fifth-avenue. 2. “1940s.NYC” (https://1940s.nyc) places digitized photos of most buildings in the five boroughs of New York City, collected from 1939 to 1941 by the Tax Department with help from the Works Progress Administration, on a map. Zooming in loads georeferenced scans of historical maps, and clicking on a marker opens a panel displaying the historical photos. “80s.NYC” (http://80s.nyc) remixed the site, using more recent images from the Department of Finance. Code: https://github.com/jboolean/1940s.nyc, https://github.com/bdon/80s.nyc. 3. “A Stroll Down Flatbush Avenue circa 1914” (https://stroll-down-flatbush.chriswhong.com) strings together 65 photographs, captured approximately every 50 feet, from the New-York Historical Soci...https://video.osgeo.org/videos/embed/76b99200-6f49-4909-81f7-f8ac8a285767https://video.osgeo.org/w/u5brXDVsDagrdVcW1PDVithttps://video.osgeo.org/lazy-static/thumbnails/01194c35-4082-435f-bb7e-e4cfe3fb7d34.jpgFOSS4G 2022 | The Africa Knowledge PlatformThe Africa Knowledge Platform is a one-stop-shop for the European Commission (EC)’s scientific knowledge on Africa. Developed by the Joint Research Centre, this open, visual, and interactive platform brings together a wealth of geospatial scientific information on Africa’s social, economic, territorial and environmental development. The Africa Knowledge Platform is developed using open-source geospatial technologies and the whole platform is open to the public, so that its potential value extends to academia and to stakeholders from the public, private and non-profit sectors in both Europe and Africa. The platform brings together information across 62 topics within 10 broad themes: natural resources, sustainable growth and jobs, food and agriculture, climate change, human demography, health, security, economy, energy and digital transformation. This covers all 17 of the United Nations Sustainable Development Goals. We will be taking a tour and in-depth look at the workflow used to develop and publish the platform and the technologies behind it. Luca Battistella https://talks.osgeo.org/foss4g-2022/talk/SQVEU3/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/e3554bcd-c714-4951-8fe3-205a0f352821https://video.osgeo.org/w/4nanB43CRot8f4fxV4hgAzhttps://video.osgeo.org/lazy-static/thumbnails/ff151034-9b56-45bb-adf9-d3b76cccfb71.jpgFOSS4G 2022 | Modeling of forest landscape evolution at regional level: a FOSS4G approachIn the last decades the European mountain landscape, and in particular the Alpine landscape, has dramatically changed due to social and economic factors (Tattoni et al. 2017). The most visible impact has been the reduction of the population for mid and high altitude villages and the shrinking of part of the land used for agriculture and grazing. The result is a progressive reduction of pastures and meadows and the expansion of the forested areas. Forest plots become also more compact, with the loss of ecotones. The study of this phenomenon is important not only to assess its current impact on the ecological functionality of forest ecosystems including biodiversity and natural hazards, but also to build future scenarios, taking into account also the climate change issues. The limit of the mountain treeline is gradually shifting upwards and the monitoring and modeling of these changes will be crucial to plan future interventions and try to implement effective mitigation plans. For these reasons, a dataset describing the forest, meadows and pasture coverage for the Trentino region, in the eastern Italian Alps, has been created. A set of heterogeneous sources has been selected so that maps and images cover the longest possible time span on the whole Trentino region with the same quality, providing the necessary information to create a LULC (Land Use/Land Cover) map at least for the forest, meadows and pasture classes. The dataset covers a time span of more than 160 years, with automatic or semi-automatic digitization of historical maps and the LULC classification from aerial images. The first set of maps includes historical maps from 1859 to 1936, with an additional map from 1992 which was not available in digital format and has been digitized for this project: Austrian Cadastral (1859, 13297 sheets, scale 1:1440), Cesare Battisti’s map of forest density published in his atlas ”Il Trentino. Economic Statistical Illustration” (1915, single sheet, 1: 500 000), Italian ...https://video.osgeo.org/videos/embed/1b3fcfa7-9f03-439d-8a5e-e45db7ffc881https://video.osgeo.org/w/nRswUW6go3jfWE6A3EvU5fhttps://video.osgeo.org/lazy-static/thumbnails/de9f1d7d-bcb6-466b-8d2c-087b6ad139b2.jpgFOSS4G 2022 | Environmental monitoring management of waste from large excavations due to…Environmental monitoring management of waste from large excavations due to infrastructure buildings Environmental monitoring management of waste from large excavations due to infrastructure buildings Large infrastructure building like the Florence Railway Station designed for high-speed rails requires a proper management of the huge quantity of waste originating from excavation activities. Such waste amounts require large areas for disposals, making abandoned areas or exhausted quarries and mines ideal sites for hosting the excavated wastes. A rectangular area of 500x70m delimiting the railway station has been excavated in two steps causing the removal of a 10m-thick soil layer per step: the amount of construction waste, as stated in the approved management project by public authorities involved in environmental management plans, would be used for the environmental restoration of an area of 400x350m located near a former exhausted lignite quarry) located in the proximity of the Santa Barbara village near Cavriglia (Arezzo). The Tuscan Regional Environmental Agency (ARPAT) have been involved in monitoring both the terrain transportation and disposals’ operations according to the approved management plan: while the Environmental Evaluation Office (VIA-VAS) was responsible of the waste sampling for further chemical analysis to assess the acceptable waste chemical composition, the Environmental Regional Information System Office (SIRA) was asked to evaluate volume balancing between all the waste management cycle, with included: (a) waste extraction from railway station site building, and (b) waste disposal final destination (exhausted Santa Barbara lignite quarry). A phase difference terrestrial LiDAR have been used in acquiring the 3D point cloud at the railway site at the following stages: (a) initial stage, before excavation activities’ starting (b) step 1 stage, after the first 10m-thick layer excavation (c) step 2 stage, after completion of excavation works. Va...https://video.osgeo.org/videos/embed/b0f7b547-2f68-4421-8c7e-02368985116ehttps://video.osgeo.org/w/ekVFdqYAiJfGWWPsK7kQG5https://video.osgeo.org/lazy-static/thumbnails/ee887e72-40f6-420f-8b10-80c4ab850174.jpgFOSS4G 2022 | Multiobjective analysis of open areas invaded by forest with open source software:…Multiobjective analysis of open areas invaded by forest with open source software: the case of the SATURN project Multiobjective analysis of open areas invaded by forest with open source software: the case of the SATURN project In northern Italian mountainous regions, forests are invading pastures and abandoned cultivated surfaces leading to an important land-use change phenomenon and reducing those open areas that are fundamental for ecological purposes [1]. The research here presented, focuses on a multiobjective and contemporary assessment methodology of two or more multicriteria analyses applied in the identification of the most suitable areas for agricultural purposes between those surfaces that have been invaded by forests carried out using Free and Open Source Software for Geospatial (FOSS4G) software. The analysis of the areas was determined by taking into account their intrinsic characteristics and their spatial location in relation to the territory and started from previous studies on land use in the Autonomous Province of Trento (Italy). The pilot areas are three municipalities that are part of Trento’s Province: the municipality of Trento - the Province’s capital, the municipality of Pergine Valsugana and seven municipalities that are part of the Piana Rotaliana region. Almost 88% of the Municipalities are located at an altitude of more than 600 m above sea level reflecting the peculiar topography of the province made up of valleys and high mountains with high percentages of steep slopes [2]. In Trento, the overall density is 742 inhabitants per square kilometers and the pressure on urban and peri-urban areas is nine times higher than the rest of the province [51]. 20% of Trento’s territory is classified as agricultural and 50% as forest or pasture land. About 70% of the territory is covered by silvopastoral -agricultural areas, the remaining 30% is categorized as urban. The repartition of the province’s surface is similar to the one of the city of T...https://video.osgeo.org/videos/embed/6c0f0366-cc8a-45aa-9a97-0c74d3be930chttps://video.osgeo.org/w/vidCbkCpTRDNHSWdHJuL9Whttps://video.osgeo.org/lazy-static/thumbnails/3784ff80-8f73-4a6c-87a2-e455b4c00576.jpgFOSS4G 2022 | Crowdsourced acoustic open data analysis with FOSS4G tools## Introduction NoiseCapture is an Android application developed by the Gustave Eiffel University and the CNRS as part of a participatory approach to environmental noise mapping. The application is open-source and all its data are free. The study presented here is a first analysis of the first three years of data collection, through the prism of noise sources. The analysis only focused on the labels filled in by the users and not on the sound spectrum of the measurement, which will be studied later. The aim was to determine whether known dynamics in environmental acoustics could be recovered using collaborative data. This preparatory work having to be consolidated and extended thereafter, and with the will to include this study within the framework of the Open Science, an attention was brought on the reproducibility aspect of the analysis. This one was entirely realized with free software and literate programming techniques. The context of the study, the tools and techniques used and the first results obtained will be presented as well as the benefits of using literate programming in this type of preparatory work. ## Data An article presenting this dataset was published in 2021 (Picaut et al. 2021). It details the structure of the database and the data, the profile of the contributors and the contributions but does not analyze the content of the data. This is what this article proposes to begin. The data used in this study correspond to contributions made between August 29, 2017 and August 28, 2020. During this period, nearly 70,000 unique contributors allowed the collection of more than 260,000 tracks for a total of about 60 million seconds of measurement. A trace is a collected recording, it contains the sound spectrum (1 second, third octave) recorded by the phone coupled with its GPS positioning (1 second). This information can be enriched by the contributor with labels. There are 18 labels and the user can select one or more of them for each of the traces ma...https://video.osgeo.org/videos/embed/ed4071e4-f73e-4e55-9b3b-3488deb849d6https://video.osgeo.org/w/beC9CMumQ9rAWAp2aKxPNXhttps://video.osgeo.org/lazy-static/thumbnails/8345c76c-5512-4145-8166-8acc2e88e68f.jpgFOSS4G 2022 | InforSAT: an online Sentinel-2 multi-temporal analysis toolset using R CRANRemote sensing via orbiting satellite sensors is today a common tool to monitor numerous aspects related to the Earth surface and the atmosphere. The amount of data from imagery have increased tremendously since the past years, due to the increase in space missions and public and private agencies involved in this activity. A lot of these data are open-data, and academics and stakeholders in general can freely download and use it for any type of application. The bottle-neck is often not data availability anymore, but the processing resources and tools to analyse it. In particular multi-temporal analysis requires stacks of images thus digital space for storage and processing workflows that are tested and validated. Processing image by image is often not a viable approach anymore. Several solutions have been created to support centralized and automated processing of multiple images. Software as a service (SaaS) is becoming more common among users. The most popular to this day is probably Google Earth Engine (GEE), which gives users Petabytes of data at their fingertips, access to processing resources and an interface that provides a large number of tools for data processing via Javascript or Python programming environments (Gorelick et al., 2017). What took before days if not months can now be run in a few minutes or hours. GEE is available and free for academics as of today, but it must be noted that it is not to be taken for granted in the future. Other initiatives such as Copernicus RUS project that has closed at the end of 2021 also provided access to data (Copernicus data) and computing resources, to promote uptake of Copernicus data via educational and research activities. Moving towards SaaS solutions usually requires a provider that puts software on the cloud and a channel, usually a web portal, for accessing data and tools. The R CRAN programming environment has all the “ingredients” that are needed to create such SaaS in a local machine or on a server. We ...https://video.osgeo.org/videos/embed/52e25548-a883-4353-ab22-b39851527927https://video.osgeo.org/w/cSZ8qxbgJDoExB3xAzJw2jhttps://video.osgeo.org/lazy-static/thumbnails/5f387a14-18d0-411d-9132-3b3b2bd77999.jpgFOSS4G 2022 | Pangeo Forge: Crowdsourcing Open Data in the CloudGeospatial datacubes--large, complex, interrelated multidimensional arrays with rich metadata--arise in analysis-ready geopspatial imagery, level 3/4 satellite products, and especially in ocean / weather / climate simulations and [re]analyses, where they can reach Petabytes in size. The scientific python community has developed a powerful stack for flexible, high-performance analytics of databcubes in the cloud. Xarray provides a core data model and API for analysis of such multidimensional array data. Combined with Zarr or TileDB for efficient storage in object stores (e.g. S3) and Dask for scaling out compute, these tools allow organizations to deploy analytics and machine learning solutions for both exploratory research and production in any cloud platform. Within the geosciences, the Pangeo open science community has advanced this architecture as the “Pangeo platform” (http://pangeo.io/). However, there is a major barrier preventing the community from easily transitioning to this cloud-native way of working: the difficulty of bringing existing data into the cloud in analysis-ready, cloud-optimized (ARCO) format. Typical workflows for moving data to the cloud currently consist of either bulk transfers of files into object storage (with a major performance penalty on subsequent analytics) or bespoke, case-by-case conversions to cloud optimized formats such as TileDB or Zarr. The high cost of this toil is preventing the scientific community from realizing the full benefits of cloud computing. More generally, the outputs of the toil of preparing scientific data for efficient analysis are rarely shared in an open, collaborative way. To address these challenges, we are building Pangeo Forge ( https://pangeo-forge.org/), the first open-source cloud-native ETL (extract / transform / load) platform focused on multidimensional scientific data. Pangeo Forge consists of two main elements. An open-source python package--pangeo_forge_recipes--makes it simple for users to...https://video.osgeo.org/videos/embed/6032eb8d-b130-4c17-8e26-e257ffdbdb24https://video.osgeo.org/w/24PCaL27Rer2mdnPo3iYVqhttps://video.osgeo.org/lazy-static/thumbnails/78479ed0-e866-40da-9c49-a180a8472db5.jpgFOSS4G 2022 | European (Inspire) Data TourThis talk provides concrete tips on how to improve your open data accessibility and discovery. We use real world analysis of what Europe has today, rather than specifications, guidelines, or theory. We recently investigated the linkage between Metadata (CSW Dataset and Service Metadata records) and actual downloadable/viewable data (WFS, WMS, WMTS, and Atom). We also looked at other linkages between the documents (for example, metadata document links, "operatesOn" links, Inspire "ExtendedCapabilities", and other MetadataURL links). Following links isn't as simple as just taking the given URL and resolving it - we will look at "fixing" the URL as well as setting request headers. We will also investigate comparing two different metadata documents (from different URLs) to see if they are "the same" even if they aren't really equivalent. If you are responsible for an INSPIRE catalogue or web service, attend this talk to learn what works (and does not work) based on real world analysis rather than theory. Or just attend to be sure you did not show up in the examples. david blasby https://talks.osgeo.org/foss4g-2022/talk/QR7XQZ/ #foss4g2022 #generaltrack #OpenDatahttps://video.osgeo.org/videos/embed/08a1b813-b1e4-4a8c-9c46-3478260190c2https://video.osgeo.org/w/hw1th8A1e1S445v5yFuGA1https://video.osgeo.org/lazy-static/thumbnails/18fb8455-6e28-4ee0-88c6-8357c8461818.jpgFOSS4G 2022 | Classroom GIS in South AfricaThe introduction of technology in the education sphere has brought about improvement regarding the quality of education young and old individuals receive. A country’s development plays a huge factor in the quality of services its people receive, therefore not every country will receive the same quality of services. Classroom GIS has changed how Geography as an academic subject is taught. It has sparked interest in the practical component of the subject and gives more understanding to the strong relationship between theory and map work. This leads to the concept of spatial thinking and how it has allowed geography educators around the world, some without basic GIS education, to see the importance of including more GIS concepts in the high school geography curriculum. Several GIS software packages are available that educators can use to teach their students. But taking into account the availability of resources when focusing on the African continent, it is probable that free software and hardware plays a key role in the development of GIS concepts being included in the geography curriculum. It is affordable, and learning resources are readily available, in terms of tutorials, documentation and more. “This inclination towards GIS textbook lecturing has largely jeopardized the quality of GIS education”. - (Fleischmann and van der Westhuizen, 2020 found in The Journal of Geography Education in Africa) Advocacy to include GIS practices and strategies in geography education across Africa have been documented, but has not received the necessary exposure it needs from its governments. The majority of GIS teaching has been textbook-based, making the introduction of GIS technology and education a frightening phase that educators may not want to engage in. To overcome the fears behind understanding and grasping basic GIS concepts in the classroom, interactive GIS tutorials may help to remove these fears and make the adoption of GIS simple, especially within countries where s...https://video.osgeo.org/videos/embed/85c2d24d-d4e1-4936-a8db-75a439b43aa4https://video.osgeo.org/w/xsgE8XsVm5AJ8dEwQYAbNQhttps://video.osgeo.org/lazy-static/thumbnails/01070fc1-4d39-4bc1-9f54-34c13d1ab8cb.jpgFOSS4G 2022 | Open Tech Collective: sharing HOT's journeyAt the beginning of 2022, HOT_tech started a collaboration with Kathmandu Living Labs on the Tasking Manager. This followed our ambition to facilitate an open collaborative process in building and improving our open source technology by forming a ‘collective’. The idea of a ‘collective’ is to bring people with shared purpose together on shared ground to achieve a shared goal. A lot to be shared! In this context the shared goal is the development of the Tasking Manager. Our vision is for creating with, for, and by the community for making the product more impact-driven and user friendly. The Tasking Manager has proven itself over the years to be not just a software but a platform to bring the different individuals, communities, organizations who share a common goal towards not only humanitarian effort and crisis response but identifying local resources and needs through mapping and data. So whether you are a mapper, a validator, a designer or an open source developer with an interest in the Tasking Manager, you can join the collective. During this talk we will share our journey in building the collective. You will hear an open and honest reflection on what worked, what didn’t work, what we have learned and what we hope to do going forward. We want this talk at FOSS4G to open a conversation with other open source and geospatial communities on best ways for designing, creating and implementing open, diverse and inclusive spaces for thriving and healthy collectives and communities. Petya Kangalova Ichchha Moktan https://talks.osgeo.org/foss4g-2022/talk/HS3RL9/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/feb64928-e109-449a-97be-b256595c9554https://video.osgeo.org/w/17FhgMwDwcGA15gJKfALRehttps://video.osgeo.org/lazy-static/thumbnails/ee16aa2a-93f5-49fe-9550-3fc233335d9d.jpgFOSS4G 2022 | Hardening a GeoNode Project – Some considerations about container security and…Hardening a GeoNode Project – Some considerations about container security and optimization The GeoNode, according to the project's website, is a platform for managing and publishing geospatial data. It brings together mature and stable open source software projects into a consistent, easy-to-use interface, allowing non-specialist users to share data and create interactive maps. In Brazil there is a growing use of GeoNode, observed mainly in governmental institutions and universities. One of the main ways of installing and configuring GeoNode is the so-called Geonode Project. It consists of a custom Django Project template, which contains, in addition to the main project files, a set of Dockerfiles of GeoNode components, such as GeoServer, Nginx (reverse proxy) and PostGIS. From a detailed analysis of the components of the GeoNode Project created, it was found that the original dockerfiles contain a series of security holes and also unnecessary packages for the execution of the stack, not recommended for production environments. A Dockerfile that follows best practices eliminates the need to run privileged containers (as root), the use of unnecessary packages, leaked credentials, like mail passwords or database DSNs, or anything that could be used for an attack. Removing known risks in advance will reduce security management work and service overhead. The objective of this talk corresponds to discuss the possible security holes found in the Geonode Project and, with the application of best practices in Dockerfiles, to make it leaner and safer for production environments. For demonstration purposes, there will have a project to be used as an example and will be hosted at https://github.com/geonode-br/hardening-geonode-docker. Carlos Eduardo Mota https://talks.osgeo.org/foss4g-2022/talk/ZG7CUV/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/00eeab8d-195d-41dc-9fa6-312ff3377f67https://video.osgeo.org/w/uCsdqjGyKQHxuN4HrWqEcRhttps://video.osgeo.org/lazy-static/thumbnails/cef4a242-a44f-46b4-ae7b-bd10a8aec234.jpgFOSS4G 2022 | UN Maps: OpenStreetMap supporting Peace and serving HumanityUN Maps is a program led by the United Nations Department of Operational Support in support of several peacekeeping and political missions such as UNSOS, MONUSCO, MINUSCA, MINUSMA and UNISFA. By leveraging internal and crowdsourcing capabilities, UN Maps aims not only to enrich topographic and operational data in UN mission areas but also to provide peacekeeping and humanitarian actors with topographic maps, operational geo-information, search and navigation tools, and imagery and street-level base maps, leveraging OpenStreetMap, the Wikipedia of maps. In order to achieve its goals, the UN Maps Initiative is building a thriving community around the collection, validation, usage, and dissemination of open geospatial data. This community is called UN Mappers. It benefits from the established crowdsourcing activities, such as mapathons, training opportunities and other collaborative events involving several stakeholders as the UN staff on the field (peacekeeping and agencies, funds and programs), academia (high schools and universities in Africa, EU and US), local communities and remote volunteers. Together, the UN Mappers community give substantial support not only in the production of maps and web services but also in the development of innovative applications using virtual reality and data analytics. Some of the results obtained with open data to these applications will be presented during the intervention. Furthermore UN Mappers are working on translating and updating OSM documentation material in all 6 UN official languages, which is distributed with open license. Michael Montani Diego Gonzalez Ferreiro https://talks.osgeo.org/foss4g-2022/talk/UEHJ8Y/ #foss4g2022 #generaltrack #OpenDatahttps://video.osgeo.org/videos/embed/e7d6d02f-cbac-4def-809b-a2310037b187https://video.osgeo.org/w/4NZ4wrQNkQSV5YiLJ15J8xhttps://video.osgeo.org/lazy-static/thumbnails/983be764-7714-43e2-bef2-0c4f26a2c37b.jpgFOSS4G 2022 | Maintaining a national Aerial Image Registry with QGISThe National Land Survey (NLS) of Finland maintains a registry of aerial imagery in Finland containing metadata of imagery since 1932. As part of the NLS' strategy of moving towards FOSS software, a novel registry management tool is being developed as a QGIS plugin. This talk describes the process of designing and implementing the new registry management software and explores the suitability of QGIS as a platform for creating highly customised spatial data management tools. While the registry management tool is developed for QGIS, the registry is migrated from Oracle to a PostGIS database, following a redesign of the data model. In 2020, the NLS announced it aims to build its technological environment based on open source technologies. As a result, there is an ongoing effort of re-designing and implementing various existing processes and systems using open-source technologies. One such system is the national Aerial Image Registry. The registry is managed by a group of NLS employees and metadata is used in various workflows for publishing new data products from captured images and planning new aerial imaging missions. The current registry management software is a technically dated solution based on Visual Basic 6 and an Oracle database. Key features of the new registry management tool include the ability to query the image registry and show the search results on map, editing and archiving existing data in the registry, importing new data to the registry, creating data extracts to PDF maps and spatial formats, and validating plans for aerial imaging missions. QGIS provides an user-friendly platform that is already familiar to many GIS experts that can be easily extended with plugins that provide custom functionality and features. The NLS has prior experience of designing and developing tailored QGIS plugins to support their unique workflows, including plugins for maintaining the topographic database of Finland and the national point cloud registry. These project...https://video.osgeo.org/videos/embed/1edacb5a-a212-4608-802a-ec399d7907fdhttps://video.osgeo.org/w/oVWcKyJM7mchTKVTZBNQbmhttps://video.osgeo.org/lazy-static/thumbnails/720917dc-1318-4700-ac97-d511e98b2b7d.jpgFOSS4G 2022 | Mapping impacts of Covid-19 in NairobiThe Covid-19 pandemic has had many impacts beyond health - economic, social, etc. The Cities Covid Mitigation and Mapping (C2M2) project, from the US Department of State's MapGive initiative, sought to map and help direct policy around these secondary impacts of Covid in several countries globally. Map Kibera and GroundTruth Initiative worked to track these impacts in Nairobi, focusing on the themes of education, water and sanitation. This talk will present the outcomes of the project, which focused on the mapping in OSM of schools, water points, and toilet facilities in the informal settlements of Kibera and Mathare. These updates to existing OSM data help show how the pandemic affected these sectors by looking historically at changes. Additionally, individual surveys about access to water during shortages and impacts of school closings and disruptions help paint a picture of how Nairobi's lower income residents have been particularly impacted by the pandemic. There is also a strong gender component to the impacts which will be highlighted. The project used a combination of tools, which will also be presented: Kobo Toolbox for mapping and individual survey collection, OSM for map data, and data analysis in QGIS. The Kenya team was supported by many other team members from the C2M2 project for data analysis. Additionally, participants in Africa included Bukavu in the DRC and Pemba in Mozambique; we will briefly share their map outcomes as well. The "Africa Hub" which included Nairobi, Pemba and Bukavu showed that across the continent, economic and social impacts of Covid-19 on vulnerable groups were particularly challenging. Zacharia Muindi https://talks.osgeo.org/foss4g-2022/talk/BV7GX8/ #foss4g2022 #generaltrack #OpenDatahttps://video.osgeo.org/videos/embed/b9b0dfb6-15f2-4824-994f-6ab77a1c8258https://video.osgeo.org/w/2Peu4gKKXsGW2QC6kCCfgPhttps://video.osgeo.org/lazy-static/thumbnails/c814d79f-0a8c-4f67-8f14-ac8f0bc2c16f.jpgFOSS4G 2022 | Sea water turbidity analysis from Sentinel-2 images: atmospheric correction and bands…Sea water turbidity analysis from Sentinel-2 images: atmospheric correction and bands correlation Sea water turbidity analysis from Sentinel-2 images: atmospheric correction and bands correlation Sea water turbidity is a measure of the amount of light scattered by particles in water. It is due to the presence of suspended particles, which it is operationally defined as the fraction in water with less than 2 µm in diameter. Plankton can also generate turbidity, but high turbidity events are dominated by high concentrations of inanimate inorganic particles. High levels of suspended sediments in coastal regions can occur as consequence of high sediment load from rivers, from bottom sediment resuspension due to wave actions or due to anthropogenic activities, such as dredging operations or bottom resuspension from ship propellants. The increase of turbidity can determine negative environmental effects both on the biotic and abiotic marine ecosystem. In highly anthropized coastal marine systems, like harbours, sediments represent a sink for contaminants and resuspension can contribute to propagate pollution to unpolluted areas (Lisi et al., 2019). Many marine water quality monitoring programmes measure turbidity. Traditional methods (e.g., in situ monitoring) offer high accuracy but provide sparse information in space and time. Earth Observation (EO) techniques, on the other hand, have a potential to provide a comprehensive, fast and inexpensive monitoring system to observe the biophysical and biochemical conditions of water bodies (Caballero et al., 2018; Saberioon et al., 2020; Sagan et al., 2020). Hence, some of the authors are developing a semi-empirical model for predicting water turbidity by combining Sentinel-2A data and machine learning methods using samples collected along the North Tyrrhenian Sea (Italy). Field data collected at the study site from April 2015 to December 2020 were made available by ARPAL, even though most of these data refer to low turbidit...https://video.osgeo.org/videos/embed/0eb167ce-7dc1-44ea-bfa4-6b9db65fb58dhttps://video.osgeo.org/w/roGSg2zjE4Tc1mXuddecM7https://video.osgeo.org/lazy-static/thumbnails/2cbdf68e-922d-464e-a5f0-d7edee2dcfa4.jpgFOSS4G 2022 | Collaborative validation of user-contributed data using a geospatial blockchain…Collaborative validation of user-contributed data using a geospatial blockchain approach: the SIMILE case study Collaborative validation of user-contributed data using a geospatial blockchain approach: the SIMILE case study Decentralized applications are a fundamental element for internet development, not only because they are safer but also because they make data accessible to more people than centralized applications. One of the most important architectures of decentralized applications is blockchain, a computing infrastructure capable of sharing data obeying consensus and in an immutable way. The most popular blockchain applications belong to the financial sector, and developments are still missing in other areas that can take advantage of this technology. An area that can benefit from blockchain characteristics is citizen science, which, as its name specifies, is the research activity performed by a community of citizens. Due to the requirements to this extent, this work studies the feasibility to use a blockchain architecture in citizen science, specifically for ecosystem monitoring. Additional to this, this work helped to understand the advantages and disadvantages of using this technology in this area. Current state-of-the-art applications that propose partially a solution to citizen science are FOAM and CryptoSpatial Coordinates. FOAM [1] is a geospatial web application that builds a consensus-driven globe map using the blockchain Ethereum protocol. To achieve network verification, it employs a cryptographic software utility token, where cartographers verify if points added to the network are false or correct. This removes the need for a central authority to regulate and verify the points. The voting mechanism uses FOAM tokens to avoid spamming from the participants. The system works by mapping a blockchain address to a physical location, which can be registered with a spatial resolution of 1m by 1m. CryptoSpatial Coordinates (CSC) [2] is an Ethereum sma...https://video.osgeo.org/videos/embed/cda003ab-9d53-4296-9bf3-c229265d478chttps://video.osgeo.org/w/vdkEzGQhg93hZPwysocCb6https://video.osgeo.org/lazy-static/thumbnails/4d0ff716-8dc4-454e-98a0-04ecf2ed6ae8.jpgFOSS4G 2022 | Buses moving on the map - use case of building web mapping portalThis presentation will be a real story about the process of building webmapping portals with usefull public transport information and the quality of air. Two portals will be shown one from Warsaw and one from Cracow (https://gdziejestautobus.pl/mapa/, https://www.mapakrakow.pl/). This will be an use case of using opensource software and open data for building the web mapping portal. The challenges will be presented by constructing layers with live positions of public transport vehicles and the state of air quality in Poland. The technical details will be presented along with the logistic and an business aspects. Following points will be covered: used development software, user experience challenges, design of project, project organization, effort, cost, legal issues. There will be shown the sources of data from open public API services in Poland. The one is the open API with vehicles location data of public transport office in Warsaw. The second is the data coming from public office responsible for environment protection and monitoring. Both presented portals shows the live position of public transport vehicles in the capital of Poland. The portal for Cracow will also show the live state of air pollution in the city. The pollution data come from sensors located in Poland collection the quality of air. Both portals are the examles of: how to connect opensource Web-GIS tools and open public data to build an interesting web mapping site showing usefull data in the convenient spatial way. Bartlomiej Burkot https://talks.osgeo.org/foss4g-2022/talk/E8ELHS/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/ec9210c3-97c6-46f2-9bd7-5cfbda17d8b1https://video.osgeo.org/w/sKzRxqvjiLwE9gxucWWiLwhttps://video.osgeo.org/lazy-static/thumbnails/28f9dcd3-d01f-488d-921a-6b39ac99a84c.jpgFOSS4G 2022 | Multi-Sensor Feeder: Automated and Easy-To-Use Animal Monitoring Tool for CitizensEnvironmental changes can have different causes on local level (e.g. soil sealing) as well as on global level (e.g. climate change). To detect these changes and to find patterns in the reasons for them it is necessary to collect broad environmental data, temporally and spatially. Thereto citizens can play an essential role to collect the data (Goodchild, 2007). In particular, we developed a system which enables citizens to monitor the occurrence and distribution of birds and provides the collected data to the public in order that both researchers and citizens can derive conclusions from them. With our automated approach we want to support other citizen science solutions like eBird (Sullivan et al. 2014) where contributors manually report their sightings. Therefore, we built a prototypical bird feeder equipped with several sensors and the infrastructure to process the data collected by the feeder. The feeder is easy to reproduce at a reasonable price by following an open available manual. This allows anyone to build the feeder on their own, enabling a large distribution at many locations. The feeder automatically detects when a bird is visiting it, takes an image of the bird, determines the species and connects the observation with environmental data like the temperature or light intensity. All the collected data are published on a developed open access platform. Incorporating other surrounding factors like the proximity of the feeder station to the next forest or a large street allows it to pursue various questions regarding the occurrence of birds. One of them might ask, how does the immediate environment affect bird abundance? Or do sealed surfaces have a negative effect compared to a flowering garden? The developed weatherproof bird feeder is attached with multiple sensors. Thereby the standard equipment includes a motion sensor to detect if a bird is currently visiting the feeder, a camera to take images of the birds, a balance to weigh the birds and a sensor...https://video.osgeo.org/videos/embed/d8a3735d-4adc-4658-97bf-85ea0347f8aahttps://video.osgeo.org/w/dw5JMMJg8G5pTDrCcegQHRhttps://video.osgeo.org/lazy-static/thumbnails/93ff2c16-993b-4337-b0b3-20173880ba9e.jpgFOSS4G 2022 | Multi-branch Deep learning Based Transport Mode Detection using Weakly Supervised…Multi-branch Deep learning Based Transport Mode Detection using Weakly Supervised Labels Multi-branch Deep learning Based Transport Mode Detection using Weakly Supervised Labels Mobility data, based on global positioning system (GPS) tracking, have been widely used in many areas. These include analyzing travel patterns, investigating transport safety and efficiency, and evaluating travel impacts. Transport Mode Detection (TMD) is an essential factor in understanding mobility within the transport system. A TMD model assigns a GPS point or a GPS trajectory to a particular transport mode based on the user's activity and medium of travel [1]. However, the complexity of the prediction procedure increases with the number of modes that need to be predicted. For example, it is comparatively easy to predict whether a user is 'static' or 'slow moving' or 'fast moving' but it's hard to predict detailed transport modes such as walk, bike, car, bus, train, boat, etc. Therefore, this study proposes a multi-branch deep learning-based TMD model which can predict multi-class transport modes. Two major challenges need to be addressed in order to generate a state-of-the-art deep learning model. The first is to prepare ground-truth data. There are insufficient open-sourced ground-truth data available for transport modes in Japan. Hence, we proposed a transport mode label generation approach using snorkel [2]. Snorkel is a weakly supervised labeling function, a first-of-its-kind system that enables users to train state-of-the-art models without hand labeling any training data. Instead, experts write labeling functions that express arbitrary heuristics based on the logic that can be drawn from understanding the data and the physical actions they represent. In this study, we used snorkel for generating the ground truth data for transport mode. Initially, we considered publicly available road networks, railway networks, bus routes, etc., for creating road, bus, train labels by overlayi...https://video.osgeo.org/videos/embed/6560e592-2a94-4643-9ef5-ed3504a6d6c3https://video.osgeo.org/w/nTr58wj9kji2TseZENQ7bDhttps://video.osgeo.org/lazy-static/thumbnails/b4102c01-4fbd-4860-b829-9d37b3cc09da.jpgFOSS4G 2022 | The Freshwater Biodiversity Information System (FBIS) – mobilising data for…The Freshwater Biodiversity Information System (FBIS) – mobilising data for monitoring freshwater ecosystems Access to long-term biodiversity datasets is vital for monitoring, managing, and protecting freshwater ecosystems. Detecting critical ecosystem changes, such as losing unique biodiversity and ecosystem services, is dependent on access to data. A wealth of biodiversity data exists for river ecosystems in South Africa, but an operational information system to access these data is currently not available. To address this knowledge gap, the Freshwater Biodiversity Information System (FBIS) has been developed. FBIS is a platform for hosting, visualizing, and sharing freshwater biodiversity information for South African rivers. The project seeks to mobilize and import to the system baseline biodiversity data, identify strategic long-term monitoring sites, and train key organizations on how to use the information system. Using map-based visualizations, user-friendly dashboards and rapid data extraction capabilities, the system will improve knowledge of freshwater biodiversity and long-term river health trends, thereby supporting better-informed river management decisions and conservation planning projects. Dimas Ciputra https://talks.osgeo.org/foss4g-2022/talk/U3KWWY/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/b13e4b78-7575-488a-a901-0e1956de6821https://video.osgeo.org/w/szd39WpUB2auyKSsnEZkk5https://video.osgeo.org/lazy-static/thumbnails/d09cbd98-bb46-404e-b6c7-81c4ded52dcf.jpgFOSS4G 2022 | spatialEpisim: an open-source R Shiny app for tracking COVID-19 in low- and middle-…spatialEpisim: an open-source R Shiny app for tracking COVID-19 in low- and middle-income (LMIC) countries It is essential to understand what future epidemic trends will be, as well as the effectiveness and potential impact of public health intervention measures. The goal of this research is to provide insight that would support public health officials towards informed, data-driven decision making. We present spatialEpisim, an R Shiny app (https://github.com/ashokkrish/spatialEpisim) that integrates mathematical modelling and open-source tools for tracking the spatial spread of COVID-19 in low- and middle-income (LMIC) countries. We present spatial compartmental models of epidemiology (ex: SEIR, SEIRD, SVEIRD) to capture the transmission dynamics of the spread of COVID-19. Our interactive app can be used to output and visualize how COVID-19 spreads across a large geographical area. The rate of spread of the disease is influenced by changing the model parameters and human mobility patterns. First, we run the spatial simulations under the worst-case scenario, in which there are no major public health interventions. Next, we account for mitigation efforts including strict mask wearing and social distancing mandates, targeted lockdowns, and widespread vaccine rollout to vaccinate priority groups. As a test case Nigeria is selected and the projected number of newly infected and death cases are estimated and presented. Projections for disease prevalence with and without mitigation efforts are presented via time-series graphs for the epidemic compartments. Predicting the transmission dynamics of COVID-19 is challenging and comes with a lot of uncertainty. In this research we seek primarily to clarify mathematical ideas, rather than to offer definitive medical answers. Our analyses may shed light more broadly on how COVID-19 spreads in a large geographical area with places where no empirical data is recorded or observed. Crystal Wai https://talks.osgeo.org/foss4g-...https://video.osgeo.org/videos/embed/d7309156-2425-4f42-8178-62b21cc009e6https://video.osgeo.org/w/s9zT1uPhm477dh3bN6PBtrhttps://video.osgeo.org/lazy-static/thumbnails/73259cd3-d68f-4250-9a54-a961c292ec19.jpgFOSS4G 2022 | UN Open GIS Initiative: Geopaparazzi Survey Server and SMASH for Mobile Data…UN Open GIS Initiative: Geopaparazzi Survey Server and SMASH for Mobile Data Collection in a UN Peacekeeping Mission (MONUSCO) The project “Geopaparazzi Survey Server (GSS) and SMASH for Mobile Data Collection in a UN Peacekeeping mission (MONUSCO)” aimed to operationalize the use of GSS and SMASH to support field data collection in MONUSCO. This talk will cover the endeavours of this project, introducing the background, user requirements and use cases, the implementation of the online GSS at a UN central data centre as well as the project outcomes and recommendations. MONUSCO GIS: MONUSCO GIS Unit uses mobile devices, GPS, mini UAV, satellite imagery from commercial providers, to ensure availability of detailed topographic and up-to-date mission operational data for the various GIS end products (cartographic maps, imagery, infographics, interactive web map applications, geodatabases). Having a central server for mobile data collection will ensure constant availability of standardized, quality controlled and up-to-date operational data, which is key for the provision of quality GIS products & services and consequently data-driven decisions and actions for the Mission. From the beginning, there hasn't been a centralised infrastructure readily available to all the geographically dispersed UN Mission users in the DR Congo for field mobile data collection. This project marked the genesis of it. UN Open GIS Initiative: Established in March 2016, is to identify and develop an Open Source GIS bundle that meets the requirements of UN operations, taking full advantage of the expertise of contributing partners (Member States, international organizations, academia, NGO’s and private sector). Geospatial Information Systems (GIS) have played a substantial role in providing timely and effective geospatial information products (maps and dynamic tools) to ensure the United Nations operations are equipped with suitable information to support the UN mandates through informed pl...https://video.osgeo.org/videos/embed/d3c06f2c-d0a3-4694-af66-936ebc17570bhttps://video.osgeo.org/w/1XggFUYL1jbEefRLD4mBB8https://video.osgeo.org/lazy-static/thumbnails/065ca1ec-08cc-423e-8509-fcfdd6758b57.jpgFOSS4G 2022 | What is new in Giswater 3.5Giswater (www.giswater.org) is a open source software aimed at being a corporate tool in water utilities with which to manage network assets in an excellent way and at the same time have the assets ready for hydraulic simulation, a feature that today Today it is known how to have a digital clone of network assets. Technologically, it uses a set of Open Source technologies such as EPANET, SWMM, PostgreSQL, PostGIS or QGIS, all of them mature and proven, which give it a very powerful base for growth and consolidation. Its 'database centric' architecture gives it enormous potential with which maintenance operations (network outages) can be managed in an integrated way, longitudinal profiles can be made, events inventoried, among others. It has a data model with dual-face architecture, which allows full integration of inventory and hydraulic model data, both for drinking water networks (https://github.com/Giswater/giswater_dbmodel/wiki/epanet- dual-dbmodel) and for urban drainage and sanitation networks (https://github.com/Giswater/giswater_dbmodel/wiki/swmm-dual-dbmodel) , giving full flexibility to the modeler to work with hydraulic capacities without any impact on inventory data for each asset item. The EPA file export module has certain "on the fly" transformations to make the two different geometries (remember the dual-face) of the inventory elements compatible for both EPANET (https://github.com/Giswater/giswater_dbmodel/ wiki/epanet-on-the-fly-transformations) how to for SWMM (https://github.com/Giswater/giswater_dbmodel/wiki/swmm-on-the-fly-transformations). It allows you to work with different scenarios to create different modeling conditions in order to check the worst case scenario or check how the network will respond in future scenarios. For Water Supply networks it is possible to work with demand scenarios (https://github.com/Giswater/giswater_dbmodel/wiki/epa-demand-scenarios) and for Urban Drainage projects it is possible to work with DWF scenari...https://video.osgeo.org/videos/embed/07b75170-6231-45a2-89ca-48fcfe4a63d1https://video.osgeo.org/w/hXj3tAwPXweqPfy1UPT3p7https://video.osgeo.org/lazy-static/thumbnails/a48fdf4e-c142-4240-b09b-05abc6ef9d8a.jpgFOSS4G 2022 | Contributing to Geospatial Cloud Native SolutionsOver the last years, new architecture arose with the aim of easing the deployment and the usage of geospatial data and software in the cloud. Large accounts are starting to leverage the power of Kubernetes in public clouds such as AWS or Azure associated with traditional OSGEO software such as GeoNetwork and GeoServer. In this talk we'll present our experience and results of working with large institutions in the public sector (civil defence, judiciary) or in the private sector (insurances, telecoms). We'll demonstrate how working the agile way with open-source software and high-level contributors allow to tackle successfully even the most ambitious challenge. As a result of these efforts (multiple 100-man days contributed to the communities), we could participate significantly in developing GeoServer cloud as well as GeoNetwork microservice. Both projects aim to solve the cloud native challenge and are well underway of succeeding. After such an initial effort, we encourage every party using open-source software to participate in the maintenance and contribute to open-source development. Only with a real open-source engagement can we as a community achieve producing sustainable best of breed open-source software. Finally, we recommend customers to make sure their service providers have a positive impact in the communities. Emmanuel Belo https://talks.osgeo.org/foss4g-2022/talk/G3TA9F/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/894b3ebf-88b1-48fc-8dfc-0dc06ca18bechttps://video.osgeo.org/w/6eD8buoZh7fUKXC239yRNEhttps://video.osgeo.org/lazy-static/thumbnails/17ec8240-7513-4928-aeb1-24d98b8d5372.jpgFOSS4G 2022 | Implementation of the Chinese Postman Problem in the Valhalla Routing EngineThe Routing Engine Valhalla has been extended with a solution of the Chinese Postman Problem (CPP). This means that the most efficient route to travel all roads and paths in the area can now be calculated within a defined polygon. The CPP is a well-known problem from graph theory, where the goal is to visit every edge in a graph while minimizing the distance traveled. In theory, a graph can be either directed, undirected, or mixed. In this implementation, the CPP has been implemented for directed graphs, as this corresponds to the representation of graphs in Valhalla and the data structure of OpenStreetMap (OSM). The latter forms the data basis for the calculation of the CPP route. The CPP is solved using the following set of algorithms: the Floyd-Warshall algorithm, the Hungarian method, and the Hierholzer method. After successfully implementing the theoretical code base of the CPP, the main challenge was to make the route calculation executable using real-world road networks (OSM). A key problem with the implementation of the theoretical CPP is that in real-world graphs, not every edge is always reachable by all other edges. Therefore, various extensions had to be made to allow the computation of a CPP route using OSM data. For example, within a larger area, rarely all road segments are accessible exclusively via the roads located in the area. It is often necessary to leave the area to access these otherwise inaccessible parts of the road network. Eventually, we were able to create a working prototype of the CPP in Valhalla. In addition to the function of freely selecting the area to be traveled, restricted zones, so called no-go areas, can also be defined. After selecting the vehicle type (car, bicycle, pedestrian, etc.), the CPP route can be calculated, which also includes turn-by-turn navigation. Andreas Jobst Ismail Sunni https://talks.osgeo.org/foss4g-2022/talk/GRFEHG/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/2a653d9c-82b4-4585-9684-08fecfedfc76https://video.osgeo.org/w/61LwZfot4GDHah296apGM4https://video.osgeo.org/lazy-static/thumbnails/ce62fb2b-3c82-4046-a28b-55b84fc7718c.jpgFOSS4G 2022 | MapFish Print, the classic printing component, a project updateMapFish Print is a mature Java-based open source software (BSD-2 license) for printing maps. Opposed to frontend solutions such as inkmap (https://github.com/camptocamp/inkmap), MapFishPrint runs server side and is integrated in several open source GIS frameworks like GeoMapFish ( for creating geoportal applications) or geOrchestra (spatial data infrastructure). The classic approach to deploy MapFish Print is using a WAR-file in a Servlet Container (for example Tomcat), while it can also be integrated into cloud environments with prebuilt Docker images. Alternatively, MapFish Print’s core printing library can also be integrated into other projects programmatically. MapFish Print supports the common data formats and standards (WMS, WFS, WMTS, GeoJSON, etc.) and provides access to rich cartographic features like rotations, grids, north-arrow or legends and multi-page printing. The layout is defined by a JasperReports template and a YAML configuration file. The template allows users to define the layout, include elements for maps, legends, grids and alphanumeric tables. Clients request a concrete print-out with a JSON-Request, providing along information like bounding-box, map layers and other data. The final report will be rendered by MapFish Print either as PDF or as a raster image and returned to the client. We will present a summary of existing features as well as new (e.g. tiled WMS with buffered tiles for rendering large areas without label conflicts) and planned features of the MapFish Print open source project. Andreas Jobst https://talks.osgeo.org/foss4g-2022/talk/XF9UH3/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/28992375-8b86-4574-843f-6f7383c2159dhttps://video.osgeo.org/w/j49RzkQmg25UjTmU9VXRzZhttps://video.osgeo.org/lazy-static/thumbnails/3de5adee-1707-4b73-b331-7be141a9257b.jpgFOSS4G 2022 | An Open-Source Mobile Geospatial Platform for Agricultural Landscape Mapping: A Case…An Open-Source Mobile Geospatial Platform for Agricultural Landscape Mapping: A Case Study Of Wall-to-Wall Farm Systems Mapping in Tonga An Open-Source Mobile Geospatial Platform for Agricultural Landscape Mapping: A Case Study Of Wall-to-Wall Farm Systems Mapping in Tonga AN OPEN-SOURCE MOBILE GEOSPATIAL PLATFORM FOR AGRICULTURAL LANDSCAPE MAPPING: A CASE STUDY OF WALL-TO-WALL FARM SYSTEMS MAPPING IN TONGA Pacific Island Countries (PICs) such as Tonga rely on landscape services to support communities and livelihoods in particular smallholder and commercial agriculture. However, PICs are increasingly vulnerable to climatic and environmental shocks and stressors such as increasing cyclone occurrence and landscape conversion. Spatially explicit, timely, and accurate datasets on agricultural and other land use at the community scale are an important source of information for land use policy development, landscape management, disaster response and recovery, and climate-smart sustainable development. However, such datasets are not available or readily accessible to stakeholders engaged in landscape management in PICs. Household surveys, participatory GIS (PGIS), and remote sensing are approaches that have previously been used to capture community-scale landscape uses in PICs; however, these approaches are challenged by data collection and management burdens, mismatched scales, timely integration of databases and data streams, aligning system requirements with local needs, and various socio-technical issues associated with developing and deploying applications in new domains. Such data collection approaches only provide single time-steps representations of landscape uses and fail to capture the highly dynamic and spatially diverse nature of PIC landscapes. We have addressed these challenges by developing, integrating, and deploying a tool for agricultural landscape monitoring at a local scale. This tool is composed of a stack of open-source geospatial applications and...https://video.osgeo.org/videos/embed/92352f22-43e4-4a48-ba85-64b62b66e97fhttps://video.osgeo.org/w/bgrSdn8k6RaJDXAmzHQ3VQhttps://video.osgeo.org/lazy-static/thumbnails/cad1a849-f545-4eef-b9cb-b45a3d46659d.jpgFOSS4G 2022 | OpenMapTiles 3.14 - vector tiles from OpenStreetMap & Natural Earth DataOpenMapTiles is an open-source set of tools for processing OpenStreetMap data into zoomable and web-compatible vector tiles to use as high-detailed basemaps. These vector tiles are ready to use in MapLibre, Mapbox GL, Leaflet, OpenLayers, QGIS as well as in mobile applications. Dockerized OpenMapTiles tools and OpenMapTiles schema are being continuously upgraded by the community (simplification, performance, robustness). The presentation will be demonstrating the latest changes in OpenMapTiles. The last release of OpenMapTiles greatly enhanced cartography and map styling possibilities, especially for roads such as adding new tags (expressway, access, toll). But also adding concurrent route labels or motorway junctions. Improvements were also done in the countryside by adding important tracks and paths (displaying from zoom 12), cliffs, aretes, and ridges. Another enhancement is the possibility to show mountain heights in customary units (feet in the US). OpenMapTiles is also used for generating vector tiles from government open-data secured by Swisstopo. Tomáš Pohanka https://talks.osgeo.org/foss4g-2022/talk/RAUZWM/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/53237bc5-6d91-4bd1-8fda-7b4aa1514a2ahttps://video.osgeo.org/w/u81tJecfiGkZiuna9KUdrphttps://video.osgeo.org/lazy-static/thumbnails/bfdb8e89-f952-4c23-8d4c-f15d96de9cd4.jpgFOSS4G 2022 | Using Terraform to manage HOTOSM's infrastructure as codeHumanitarian Openstreetmap Team (HOT) administers several free-software applications with varied deployment architectures on multiple cloud platforms. As an organization that values openness and transparency, we actively seek out open source tools that help us enact our principles of open participation and collaboration. In that vein, we chose Terraform as the tool for managing infrastructure at HOT. Using HOT's experience managing OSM Galaxy infrastructure using Terraform, this talk describes our use of Terraform to manage infrastructure at scale in order to improve DevOps processes with infrastructure reproducibility, security, cost and change management. We will present these advantages in the context of our own team's experiences and the challenges we faced trying to build a scaling technology stack and compare Terraform with popular Infrastructure as Code (IaC) alternatives. The talk will use OSM Galaxy API (galaxy.hotosm.org) as a case study to describe the process of porting infrastructure to Terraform in order to manage infrastructure continuously at enterprise scale - which is particularly relevant for non-profits and organizations that develop compute-intensive technology. DK Benjamin Yogesh Girikumar https://talks.osgeo.org/foss4g-2022/talk/NMQQT9/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/e3ba622c-7407-4faf-bf98-1657a7eed901https://video.osgeo.org/w/7ELYqRYVZ3S47KC9uouzkBhttps://video.osgeo.org/lazy-static/thumbnails/21af7f61-9a9b-4882-93e2-5f543ba1c999.jpgFOSS4G 2022 | Cluster Analysis: a comprehensive and versatile QGIS plugin for pattern recognition…Cluster Analysis: a comprehensive and versatile QGIS plugin for pattern recognition in geospatial data Cluster Analysis: a comprehensive and versatile QGIS plugin for pattern recognition in geospatial data As geospatial data continuously grows in complexity and size, the application of Machine Learning and Data Mining techniques to geospatial analysis is increasingly more essential to solve real-world problems. Although, in the last two decades, the research in this field produced innovative methodologies, they are usually applied to specific situations and not automatized for general use. Therefore, both generalization and integration of these methods with Geographic Information Systems (GIS) are necessary to support researchers and organizations in data exploration, pattern recognition, and prediction in the various applications of geospatial data. The lack of machine learning tools in GIS is especially clear for what concerns unsupervised learning and clustering. The most used clustering plugins in QGIS [1] contain few functionalities beyond the basic application of a clustering algorithm. In this work we present Cluster Analysis, a Python plugin that we developed for the open-source software QGIS and offers functionalities for the entire clustering process: from (i) pre-processing, to (ii) feature selection and clustering, and finally (iii) cluster evaluation. Our tool provides different improvements from the current solutions available in QGIS, but also in other widespread GIS software. The expanded features provided by the plugin allow the users to deal with some of the most challenging problems of geospatial data, such as high dimensional space, poor quality of data, and large size of data. In particular, the plugin is composed of three main sections: - feature cleaning: This part aims to provide some options to reduce the dimensionality of the dataset by removing the attributes that are most likely bad for the clustering process. This is important to ach...https://video.osgeo.org/videos/embed/3600cf8d-e877-4591-8a0a-bbab49aa9e55https://video.osgeo.org/w/gwQoG5ULQeWgwQ5daCwuXGhttps://video.osgeo.org/lazy-static/thumbnails/c2a8100d-83e5-4888-9759-5b85d80436b9.jpgFOSS4G 2022 | Open Source geospatial applications for energy and environment integrationThe use of GIS to support energy planning is now widespread and well consolidated, as evidenced by the numerous studies available in the international literature. Many companies and governmental institutions have transferred their data and results into open source web platforms or tools for public access. Within the broad topic of the interaction between renewable energy and environment, over the last years RSE S.p.A. has faced the necessity to develop and maintain WebGIS and online platforms related to various aspects of the energy system, in order to characterize the territory and its possible influences on renewable energy sources integration in the energy system, thus supporting the decision-making process towards energy transition. One of the most significant products is the Integrated Atlas for the National Energy System and Renewable Sources, a WebGIS platform which represents on a national scale significant variables of the energy sector (resources, demand, installed plants, territorial constraints) under a system view, with the principal aim of supporting energy planning. From a technical point of view the Integrated Atlas is developed on TerriaMap, a catalogue-based web geospatial visualisation platform developed by the Australian research centre CSIRO. TerriaMap uses the JavaScript library TerriaJS together with other open source libraries as React JS, Leaflet and Cesium, for 3D visualization. Besides standard WebGIS functionalities, the Integrated Atlas provides the access to TOTEM (Territory Overview Tool for Energy Models), an advanced open source tool for the energetical characterization of the territory, essential for supporting multi-energy modelling. Starting from spatial and energy data, the TOTEM tool estimates electrical and heat demand, wind and solar resource and other significant energy variables on hourly and provincial scale. Concerning technical details, the tool and its web interface are developed in Python and use libraries such as...https://video.osgeo.org/videos/embed/7dc73714-3c6c-4ed7-b68a-d9a1e838d31ehttps://video.osgeo.org/w/w9CD7igfjJuErajBUnGTwYhttps://video.osgeo.org/lazy-static/thumbnails/83063f54-0e49-46c3-b402-486528966c20.jpgFOSS4G 2022 | Datahub: the confluence of open data and geo dataOpen data movement has been very active and trendy lately. Many solutions brought fresh air in the metadata ecosystem. Nevertheless, no one really pushed forward the confluence of the open data world and the geo metadata world (often powered by ISO or INSPIRE standards). Actually, many organizations still use both systems, which leads to confusion for the end users: datas are duplicated, metadatas are harvested in both directions, many websites aim to serve the same goal. Overall, this split does not help to easily find your data. It can also give headache to platform administrators, developers and architects who try hard to keep all catalogs synchronized. Based on this analysis, we are convinced that an ultimate solution could take the advantages of both ecosystems. Complex ISO standards, INSPIRE rules and opendata light schemas can co-exist in the same catalog. All new great ideas like quick data visualization or dataviz widgets can be supplied for any kind of data. The datahub literally came out from the need to centralize any kind of public dataset within the same platform. Thought as a backend API agnostic solution, the datahub first implementation has started based on the GeoNetwork 4 api, with an ElasticSearch backend. The search is fast, accurate, multilingual and customizable. The solution has been designed from use cases: how do you want to help the end users to find, use and value their datas. It brings a new experience to old fashion INSPIRE catalogs and aims to embrace modern challenges like the community, vote, favorites, publishers, usages of the datasets, dataviz and so on. Leveraging technical challenges to merge open data and metadata, the datahub emphases on a pure, intuitive and fluent user experience. Olivia Guyot Florent Gravin https://talks.osgeo.org/foss4g-2022/talk/WECPGY/ #foss4g2022 #generaltrack #OpenDatahttps://video.osgeo.org/videos/embed/f426b0a6-8090-4a35-8590-d77867683500https://video.osgeo.org/w/vpVDSLTTgFC3xEeHDXyqG3https://video.osgeo.org/lazy-static/thumbnails/a22c1200-fdd9-437f-8962-f706f4e27801.jpgFOSS4G 2022 | Introducing Wayfarer - a Python Routing LibraryCompass Informatics [1] is pleased to announce the open sourcing of its routing library Wayfarer [2][3]. Wayfarer is a pure Python library that allows spatial features to be loaded into a NetworkX [4] network format. Once in this format the data can be manipulated and analysed using the huge range of graph algorithms in NetworkX. The Wayfarer library provides a number of helper functions for example to calculate routes, split edges, find ends of paths, and retrieve features by keys. The talk will outline the use cases for the library, and when it may be suitable to use rather than alternatives such as pgRouting. Case studies will be presented including Wayfarer’s use in Ireland's Pavement Management System to help designate works and surveys on the road network. Wayfarer is also currently used for an Environmental Protection Agency project to create fully connected river networks in Ireland. [1] https://compass.ie/ [2] https://pypi.org/project/wayfarer/ [3] https://github.com/compassinformatics/wayfarer [4] https://networkx.org/ Seth Girvin https://talks.osgeo.org/foss4g-2022/talk/EBJSBX/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/ee303154-d696-4985-ae71-a8156c7ae4c2https://video.osgeo.org/w/wfQZpNR3phG6KupkWL5MX6https://video.osgeo.org/lazy-static/thumbnails/f2f26a6d-f613-4c16-8f2e-3dea69901f98.jpgFOSS4G 2022 | Examination of Metro Stations Equal Accessibility for All using Open Data Kit (ODK)…Examination of Metro Stations Equal Accessibility for All using Open Data Kit (ODK) Applications: A Case Study of Noida City in India Examination of Metro Stations Equal Accessibility for All using Open Data Kit (ODK) Applications: A Case Study of Noida City in India Nowadays, the need is felt to create a sustainable and inclusive urban environment accessible to all, which requires a people-centered urban planning approach. Along with alleviating environmental problems and minimizing traffic congestion, the public transit system serves as a means of providing equal access (Rossetti, et al., 2020). This paper attempts to re-evaluate the isochrones prepared to access public transport stops particularly transit nodes across Noida city using a GIS-based approach and Open Data Kit (ODK) approach. The isochrones predict the time to reach any area from a transport node like a transit station based on the shortest path model, however, not all roads and streets offer equal access to all (Lei & Church, 2010). In this study, macro-built-environment attributes responsible to increase pedestrian distance length and time to reach metro stations were identified using a GIS-based approach by integrating land-use and transportation data. However, the micro-built environment attributes like pedestrian behaviour, preference of travel modes, and purpose and frequency of transit trips made by the transit users were gathered by conducting metro station user surveys using the ODK app linked with its ODK aggregate server. The ongoing transport and urban planning methods hardly give any importance to the understanding origin and destination to reach important places with more ease and mobility (Bhatt & Minal, 2022). Urban researchers have not investigated any studies to evaluate equal accessibility to effectively and smoothly use public transit services by easily accessing transit stations (Yang, et al., 2019). The objective of this study is to map the pedestrian permeability and imperm...https://video.osgeo.org/videos/embed/f504c37d-d378-4c93-a1cf-55c29c59692fhttps://video.osgeo.org/w/kR536R8coifYiPfPYxy6jhhttps://video.osgeo.org/lazy-static/thumbnails/49a8ab65-7962-4d50-824f-e9ab1c81e491.jpgFOSS4G 2022 | Curated Major Map Features LibraryA team of experienced mappers and language experts at Meta has reviewed a dataset of major map features from OpenStreetMap(OSM), and used the curated results on one of their validation processes to check for quality issues of the Daylight and OSM maps. The dataset of the curated results is considered as a reference library of major map features with their key information. During the validation process, this library is used to compare against Daylight and OSM data to look for suspicious changes on features included in the library. With such reference library, the Meta Basemap Team is able to keep a stable quality on major map features in an efficient manner. To ensure the data in this library is up-to-date and comprehensive, systematic approaches to continuously improve the library are also developed. In our talk, we will share more details about this curated library and processes, and how we maintain the freshness of the library. Yunzhi Lin https://talks.osgeo.org/foss4g-2022/talk/DMSDM9/ #foss4g2022 #generaltrack #OpenDatahttps://video.osgeo.org/videos/embed/a0b79111-e480-4887-a1c1-c7dc566f5c88https://video.osgeo.org/w/2ouL8r4QDAGawVgX3REhchhttps://video.osgeo.org/lazy-static/thumbnails/f94bf3ad-7bf9-433e-aab4-736c9a2fd797.jpgFOSS4G 2022 | Building Footprint Extraction in Vector Format Using…Building Footprint Extraction in Vector Format Using pytorch_segmentation_models_trainer, QGIS Plugin DeepLearningTools and The Brazilian Army Geographic Service Building Dataset Building footprint extraction is a popular and booming research field. Annually, several research papers are published showing deep learning semantic segmentation-based methods to perform this kind of automated feature extraction. Unfortunately, many of those papers do not have open-source implementations for public usage, making it difficult for other researchers to access those implementations. Having that in mind, we present DeepLearningTools and pytorch_segmentation_models_trainer. Both are openly available implementations of deep learning-based semantic segmentation. This way, we seek to strengthen the scientific community sharing our implementations. DeepLearningTools is a QGIS plugin that enables building and visualizing masks from vector data. Moreover, it allows the usage of inference web services published by pytorch_segmentation_models_trainer, creating a more feasible way for QGIS users to train Deep Learning Models. pytorch_segmentation_models_trainer (pytorch-smt) is a Python framework built with PyTorch, PyTorch-Lightning, Hydra, segmentation_models.pytorch, rasterio, and shapely. This implementation enables using YAML files to perform segmentation mask building, model training, and inference. In particular, it ships pre-trained models for building footprint extraction and post-processing implementations to obtain clean geometries. In addition, one can deploy an inference service built using FastAPI and use it in either web-based applications or a QGIS plugin like DeepLearningTools. ResNet-101 U-Net Frame Field, ResNet-101 DeepLabV3+ Frame Field, HRNet W48 OCR Frame Field, Modified PolyMapper (ModPolyMapper), and PolygonRNN are some of the models available in pytorch-smt. These models were trained using the Brazilian Army Geographic Service Building Dataset (BAGS Data...https://video.osgeo.org/videos/embed/0b3d39e1-1daa-4be7-8640-0cc787cd1c4ehttps://video.osgeo.org/w/p4JbGmUGVR31Fp5gb5qyGqhttps://video.osgeo.org/lazy-static/thumbnails/4e088093-f3ef-4ebd-9d2a-ee99bbfbafca.jpgFOSS4G 2022 | Developing an UI for historical orthophotos timeseries dataIn 2020 National Land Survey of Finland had scanned and digitized over 100.000 historical orthophotos from 1931 to 2020. This unique dataset had been open for a couple of years via a WMS-T API service but was not well known to the public at the time, and not truly available to less technically oriented users. Hence, there was a need to get them findable and easily accessible with a web browser. Instead of building a completely new service, the images were to be published with the Open Source based national geoportal of Finland - Paikkatietoikkuna. The geoportal is built with Oskari Map Application Platform which was enhanced for this use case to support timeseries data. The historical orthophotos are scattered both in time and in geography. To improve end-user experience and make discovering data easier an OGC API Features service was used for metadata. The final result was received with quite a bit of enthusiasm: after publishing the data in Paikkatietoikkuna geoportal in June 2021, the visitor numbers soared to new records. Nearly all of the feedback has been positive, and now it is possible for anybody to benefit from this extremely valuable and fascinating historical data. The code is fully open source and can be easily used in any Oskari instance – all you need is the data, which, obviously, isn’t the easiest part of this all. Sini Pöytäniemi https://talks.osgeo.org/foss4g-2022/talk/L8BQFK/ #foss4g2022 #generaltrack #OpenDatahttps://video.osgeo.org/videos/embed/bac76ae5-0526-425d-99f2-57de9d0062a8https://video.osgeo.org/w/oyEAo3pBWoFmuRjzXKwcZQhttps://video.osgeo.org/lazy-static/thumbnails/6c817724-134e-47bf-92b3-0d31415ecd2d.jpgFOSS4G 2022 | The best practices of Open Source GIS base applications on Türkiye General…The best practices of Open Source GIS base applications on Türkiye General Directorate of Hihgways Traffic Safety Application: In the data preprocessing phase, data quality assessment and dirty data were determined on the accident data by using desktop GIS applications such as QGIS,SAGAGIS,JOSM,GeoDa. OpenSource GIS applications and programming languages such as R language and python were used in data cleaning, exploratory analysis and data processing. Statistics for accident data have been extracted. OpenSource map server such as GeoServer is used for sharing, editing and organizing accident maps and base maps produced in GIS applications. Python software language was used in the server side of the project. For geospatial data analysis, accident points were verified by using geopandas and shapely libraries. PostgreSQL database was used to store geo-based accident data and the PostGIS extension was used. PostGIS adds spatial capabilities to PostgreSQL so it can store, query, and manipulate spatial data. On the server side scripting, GeoAlchemy(an extension of SQLAlchemy) is used for working with spatial databases and geospatial queries. For the client side, Turf was used for any spatial operations. It is a geospatial engine, and it includes spatial operations and helper functions. MapboxGL-WebGL-powered library is used for interactive vector maps on the web application. To render more than 100k of accidents with high performance, WebGL powered geospatial visualization framework DeckGL was used. NebulaGL provides geospatial drawing and editing tools for lines, polygons etc. It was added for selecting analysis regions from the map. Osm-Nominatim is a geocoding library. It allows users to find accident locations from an address. OpenSource GIS Tools: ● GIS software for data visualization, processing and analysis: QGIS, GRASSGIS, JOSM, SAGAGIS, OrbisGIS ● GIS Servers: GeoServer, MapServer, Mapnik, MapGuide, QGIS Server ● Backend(Python) :Geopandas, Shapely, Po...https://video.osgeo.org/videos/embed/b6b8a281-c43d-4329-bfb8-fa626925e1a6https://video.osgeo.org/w/q5qNCuY91LYBqvqUWCuDAAhttps://video.osgeo.org/lazy-static/thumbnails/86e97fae-682d-4634-9eb0-021b6d177fbe.jpgFOSS4G 2022 | FOSS4G and Open Data to the rescue: a European story!Neither the open (geo)data initiative and, needless to say, the open source for geospatial one, are the new kids on the block anymore. Crucial steps have been taken all over the world in establishing the framework of openness, collaborative development and transparency ranging from hands-on events - such as code sprints or collaborative data gathering - mapathons - to funding opportunities and legislative measures. In this context, we present a 3 years-old EU supported initiative founded on open source and open data and that has reached maturity. In our talk, we present the potential support that such initiatives have in the wider framework of environmental monitoring and reporting across Europe - Geo-harmonizer. Geo-harmonizer stands for EU-wide automated mapping system for harmonization of Open Data based on FOSS4G and Machine Learning. The project unfolded between 2019 and 2022 and was co-financed under Grant Agreement Connecting Europe Facility (CEF) Telecom project 2018-EU-IA-0095 by the European Union. Ilie Codrina https://talks.osgeo.org/foss4g-2022/talk/BRLCXX/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/c2f996c2-18c9-4490-8697-62781bff4a6ahttps://video.osgeo.org/w/iCm9vAw9tSm9SJVxMQqoyRhttps://video.osgeo.org/lazy-static/thumbnails/f201ba9d-07da-4523-8bac-ac692d5ae0ac.jpgFOSS4G 2022 | Rural water supply mapping by using FOSS4G application in RwandaWater and Sanitation Corporation (WASAC) (https://wasac.rw/) started mapping rural water supply system in Rwanda since 2018. WASAC conducted the data collection by using QGIS, QField and PostGIS all over the country of Rwanda, and now all GIS data is available as open data and visualized in this website (https://rural.water-gis.com/) by using Mapbox Vector Tiles. WASAC is trying to achieve universal access to water in SDGs Goal 6 by keeping updating and utilizing GIS data. We are developing GIS system as open source, and all of source code was developed in Github through WASAC organization repositories here (https://github.com/WASAC) under the collaboration with The United Nations Vector Tile Toolkit (https://github.com/unvt/) team. Our approach uses quite low-cost technologies which are more sustainable in low and middle-income countries. All our data is also available in OpenAFRICA (https://africaopendata.org/organization/water-and-sanitation-corporation-ltd-wasac). Our achievements of the project were presented in previous global conference of FOSS4G 2019 Bucharest (https://media.ccc.de/v/bucharest-30-case-study-of-data-collection-data-sharing-for-rural-water-supply-management-in-rwanda) and FOSS4G 2021 Buenos Aires (https://www.youtube.com/watch?v=1Y2HbWkapDA). In FOSS4G 2022, we would like to update our current situation of the GIS system to the community. Jin Igarashi IRANKUNDA Moise Dusabe Larissa https://talks.osgeo.org/foss4g-2022/talk/WGLMQ8/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/8ebe8c7e-51ca-40fd-8f8b-358f8e57e8a9https://video.osgeo.org/w/mCvQA97zFdc1WxktZ8joeehttps://video.osgeo.org/lazy-static/thumbnails/60cab83f-c540-4bb9-be21-55ce0c3f5bb7.jpgFOSS4G 2022 | OpenSource to the rescue: the future of MapLibreThe story and the future of the MapLibre community - the project that continues to develop various browser and native technologies for map tile visualization ever since Mapbox changed their licensing on the amazing Mapbox gl js technology that sadly became proprietary restricted to Mapbox own service. This talk will cover existing lib capabilities, how the project grew to include native, navigation, routing, 3D, and other features. How the project was able to quickly migrate to typescript with lots of additional testing and stabilization efforts. How we became a large non-centralized collective of mapping technologies covering web, android and ios devices. How hundreds of small and large donations from developers and companies have helped with extra incentives. Some possible future projects and ideas will be presented by individual feature owners, including the possibility of uniting all library efforts using a cross platform compilation from the common Rust code (web assemblies + native libs) and additional styling features. Yuri Astrakhan https://talks.osgeo.org/foss4g-2022/talk/SNZWWJ/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/a70fefe4-4a83-468f-a6be-376bfb346a37https://video.osgeo.org/w/dbjFJpw2gPaaWDFkuMfVYNhttps://video.osgeo.org/lazy-static/thumbnails/e55b38a9-1031-4a06-8efe-f231aa441595.jpgFOSS4G 2022 | A Graph-Based Road Conflation Method Preserving ConnectivityConnectivity of roads in a map is essential for many use cases including navigation. We present a graph-based solution to the road conflation problem which takes into account the connectivity of the road network. First, we generate a road network graph in both sources based on bifurcation points. Second, we carry out node and edge matching between the graphs where we follow shortest distance as a matching criterion. This is followed by the merging stage where graph edges with matching end nodes get conflated. Newly added roads are connected with the graph based on node and edge matching. We carry out experiments on conflating open source footway datasets from multiple cities with the OSM. The resulting conflated map contains up to 16x map feature improvements per city with geometrically accurate and smooth results around road junctions. Future work involves using different graph matching criteria to improve on the conflated output. Esra Cansizoglu Yunzhi Lin https://talks.osgeo.org/foss4g-2022/talk/773JU8/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/629e9dde-3b8d-454e-8f30-17783b104a12https://video.osgeo.org/w/tHrruegPqwuZDg2ad7CTachttps://video.osgeo.org/lazy-static/thumbnails/82a24365-a6db-4b45-9e71-b399cf1509f5.jpgFOSS4G 2022 | The story of OSGeo in OceaniaOSGeo has existed in Oceania in various forms for quite a while now. Some of the major contributors to projects such as QGIS are based in Oceania and open geo events have been organised in the region for many years. It is only in more recent times however that we have started to support these efforts through the creation of a local chapter. When a group of us came together to organise Oceania’s first regional FOSS4G SotM conference in Melbourne, 2018, it became clear structure was needed to sustain the momentum we had created. Structure was established by forming an entity and completing all the tasks that go along with that. This included creating a constitution, financial policies, forming a board of directors, establishing a membership policy, consulting with the community, working out what the entity’s primary purpose is and so much more. We’ve made plenty of mistakes along the way, but we’ve also learned a lot. There are many successes too, such as the establishment of a Microgrant program to support initiatives across the region, the continuation of annual regional conferences, funding travel so that people without the financial means to do so could attend conferences, and the welcoming of new members from far and wide. This talk is an insight into the journey of OSGeo Oceania. It is not meant to be a how to guide or a pat on the back, but rather a chance to facilitate discussion among the FOSS4G community so that we can find ways to support the use and understanding of open geospatial software in our respective regions. Edoardo Neerhut Elisa Puccioni https://talks.osgeo.org/foss4g-2022/talk/CYU7AW/ #foss4g2022 #generaltrack #TransitiontoFOSS4Ghttps://video.osgeo.org/videos/embed/e06fea7e-83e2-403f-a5c0-5088c8e47781https://video.osgeo.org/w/rbt6rr7n5ogxRbqmbDSQUkhttps://video.osgeo.org/lazy-static/thumbnails/4498bf90-dbf9-4325-ade8-f1df85cf14cd.jpgFOSS4G 2022 | Exploring the World’s Open Data Portals - Discovery, Visualisation and Analysis of…Exploring the World’s Open Data Portals - Discovery, Visualisation and Analysis of Open Data with TerriaJS TerriaJS is an open-source framework for web-based geospatial catalogue explorers. It uses Cesium and Leaflet to visualise 2D and 3D geospatial data, and it supports over 50 different Web APIs, file formats and open data portals. It is almost entirely JavaScript in the browser, meaning it can even be deployed as a static website, making it simple and cheap to host. TerriaJS is used across the globe to create next-generation Digital Twin Platforms for open geospatial data discovery, visualisation and sharing - it is used to drive - National Map (https://nationalmap.gov.au/) (Australian Gov) - Digital Earth Australia Map (https://maps.dea.ga.gov.au/) - Digital Earth Africa Map (https://maps.digitalearth.africa/) - Pacific Map (https://map.pacificdata.org/) - NSW Spatial Digital Twin (https://nsw.digitaltwin.terria.io/) (Australian State Gov) - and many others Supported formats/protocols include: - Imagery services like WMS/WMTS and ArcGis Imagery/Map Service - Feature/vector services like WFS, ArcGis Feature Service, Mapbox vector tiles, GeoJSON, Shapefile, KMZ, GPX, GeoRSS - 3D sources like Cesium 3d-tiles, GLTF and CZML - Tabular/sensor data: CSV, SDMX, GTFS, SOS, Socrata and Opendatasoft - Open Data portals: CKAN, CSW, Socrata, Opendatasoft, Magda, THREDDS, WMS/WFS Servers, ArcGis Portal and SDMX - Geoprocessing with WPS - With plans to support new and upcoming services like OGC APIs and STAC in the future. In this talk, I will show how TerriaJS can connect to Open Data Portals to - Discover open datasets - Visualise datasets in 2D and 3D - Perform aggregation/analysis on datasets - Create/share maps with the world! https://terria.io/ https://github.com/TerriaJS/terriajs Nick Forbes-Smith https://talks.osgeo.org/foss4g-2022/talk/GPWMC7/ #foss4g2022 #generaltrack #OpenDatahttps://video.osgeo.org/videos/embed/cbea99f0-9198-48ed-a645-e195b39c6afbhttps://video.osgeo.org/w/tPtVhqgdvhfJ3pwTgxwioShttps://video.osgeo.org/lazy-static/thumbnails/fce9bc63-a3a8-4c59-aa73-20566222f95d.jpgFOSS4G 2022 | An open API for 3D-georeferenced historical picturesApproach and concepts 3D-georeferenced historical pictures have a high potential for the analysis of different landscape features such as melting glaciers, the effects of urbanization or natural hazards. Moreover, historical pictures have a higher temporal and spatial resolution than satellite imagery and therefore allow for analyses that go farther back in time. A 3D georeferenced picture can for instance be combined with a digital terrain model (DTM) and other reference data to calculate the exact footprint of the picture and to generate a list of visible toponyms that can be used to find pictures of a specific place or region. The utilization of historical pictures is unfortunately still difficult: 1. historical pictures need to be digitized 2. collections are often spread across several places in different archives and collections 3. metadata is often not available. In the ongoing open-source project Smapshot (Produit et al. (2018), https://smapshot.heig-vd.ch/) over 150’000 digitized historical pictures have been georeferenced in 3D by more than 700 participants. In the web-platform Smapshot a participant can georeference a picture using monoplotting (Bozzini et al, 2012): ground-control-points (GCP) are digitized both in the historical picture and in a virtual globe that displays recently updated data. These GCP allow for the calculation of the exact position from where the picture has been taken (3D point) and the three angles that define the direction of view: roll, pitch and yaw. Once the position and the direction of view has been calculated a footprint of the picture is generated using a DTM. Results In order to make the pictures and the metadata from Smapshot available to the public, an open API for 3D-georeferenced historical pictures has been created. The goal was to offer free access to all the data in the Smapshot database and to allow for different types of queries such as retrieving the footprints of the photos, fetching metadata for a picture (...https://video.osgeo.org/videos/embed/e147e810-a02f-4ce1-b2b0-637629cc0b52https://video.osgeo.org/w/fXC7kJd4A9iJrZQWMFnnckhttps://video.osgeo.org/lazy-static/thumbnails/0dbf8756-a33a-4949-b662-3dbbcc3f19f3.jpgFOSS4G 2022 | OSM planet data to vector tiles in a few hours: OpenMapTiles & PlanetilerConverting OpenStreetMap planet data into vector tiles has been a complex and costly process, but now, thanks to the Planetiler project, it has become possible to do on a single powerful machine in just a few hours – over two orders of magnitude speed up! OpenMapTiles is a mature customizable tile generation framework and layer specification that can be tailored to specific tile generation needs. It has existed for many years, and allowed users to generate their own layers, optimizing for size or completeness. Over the years it moved to PostGIS-based ST_AsMVT approach, and made numerous small improvements. The biggest downside of OMT was the extensive hardware requirements. Recently Mike Barry rewrote core functionality of the OMT stack as a single monolithic app, making it possible to generate entire planet data in just a few hours on a single machine. Now the OMT community is actively adapting this new approach, researching if Rust would be even better approach, and experimenting how to make the process customizable and support real-time updates. Yuri Astrakhan https://talks.osgeo.org/foss4g-2022/talk/KJAEP8/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/79241a0b-ec29-4a31-8cd3-8954c99342ddhttps://video.osgeo.org/w/k1iEDoR67MNRV5K32AhWQshttps://video.osgeo.org/lazy-static/thumbnails/71bcaa96-5714-4304-aabd-9e9ab50b57d1.jpgFOSS4G 2022 | Closing SessionClosing session with Sol Katz 2022 announcement, FOSS4G 2023 presentation an much more Luca Delucchi https://talks.osgeo.org/foss4g-2022/talk/AYWDJG/ #foss4g2022 #generaltrackhttps://video.osgeo.org/videos/embed/99e88593-2a1c-46e4-a178-3b1f28ce3ed2https://video.osgeo.org/w/aPiPdgM2XsM73vDNG7hZsWhttps://video.osgeo.org/lazy-static/thumbnails/6a7fa02e-86cf-4545-b084-d4728e3a2c32.jpgFOSS4G 2022 | ARCOS Platform for Monitoring of Arctic RegionThe objective of ARCOS is to design and implement an early-warning system providing continuous monitoring of the Arctic Region. Designed to generate actionable products in the security domain by processing and fusing multi-sensor data, the system integrates available information from space, non-space sources and products available from multiple Copernicus services. ARCOS generates information at three different levels of scale and user interaction: 1. Level 1: Automatic Early-warning System. Integration of space and non-space data sources for the triggering of alarms on the region when certain conditions happens. Automatic early-warnings are generated in case anomalous behaviours are detected. For this wide-area monitoring, automatic extraction of analytics and AI techniques are applied. 2. Level 2: User-Driven Alert System, where space and non-space data is processed on specific locations provided by the user. The alarms can be configured based contextual information based on the user input. 3. Level 3: Geospatial Intelligence Products. Following early-warnings generated in Level 1 or 2, geospatial intelligence products requiring human intervention are provided upon user request. The system is developed using GeoNode (https://geonode.org/) as a Core component and integrates OpenEO services (https://openeo.org/) for the generation of innovative contents from open datasets like Copernicus Sentinels data, Copernicus Services data, AIS data and Social media. Marco Corsi https://talks.osgeo.org/foss4g-2022/talk/EMCDLQ/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/4f7d2ef2-d90c-470b-a9ba-6b830a9e59fehttps://video.osgeo.org/w/e9Bxq8TZwEZYHjyRZSgj2Zhttps://video.osgeo.org/lazy-static/thumbnails/576e9e23-8051-4198-a66c-b153af538c40.jpgFOSS4G 2022 | Demystifing OGC APIs with GeoServer: introduction and status of implementationThe OGC APIs are a fresh take at doing geo-spatial APIs, based on WEB API concepts and modern formats, including: Small core with basic functionality, extra functionality provided by extensions OpenAPI/RESTful based JSON first, while still allowing to provide data in other formats No mandate to publish schemas for data Improved support for data tiles (e.g., vector tiles) Specialized APIs in addition to general ones (e.g., DAPA vs OGC API - Processes) Full blown services, building blocks, and ease of extensibility This presentation will provide an introduction to various OGC APIs and extensions, such as Features, Styles, Maps and Tiles, DAPA, STAC and CQL2 filtering. While some have reached a final release, most are in draft: we will discuss their trajectory towards official status, as well as how good the GeoServer implementation is tracking them, and show examples based on the GeoServer HTML representation of the various resources. Andrea Aime https://talks.osgeo.org/foss4g-2022/talk/JUYKAX/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/6a7aa7f3-d956-4cce-964c-56046d3f7953https://video.osgeo.org/w/aDiyBryDkH1TpzxYHw69Kchttps://video.osgeo.org/lazy-static/thumbnails/695f0143-9220-4a76-8708-f8ea2596f4ca.jpgFOSS4G 2022 | Better productivity for QGIS plugin developersDeveloping a plugin for QGIS is both as simple as one of the countless tutorials and as complicated as a software engineering job facing with the dynamism of the project (maintenance requirements), the size of the APIs and constraints that need to be taken into account (Windows, etc.). At Oslandia, we create and maintain many plugins for our clients, which leads us to streamline their development... and especially their maintenance! Historically, many extensions were created using the amazing Plugin Builder and the underlying tool (pb_tool) but it no longer fit our needs. We present here our QGIS Plugin Templater (https://oslandia.gitlab.io/qgis/template-qgis-plugin/), based on Cookiecutter (https://cookiecutter.readthedocs.io/) and the related work on developer tools (tests, documentation, code structure, formatting, linter...). We will also mention the other tools we are using or following closely (the 3Liz toolbelt, the other template from Gispo Coding...). Yet Another Plugin Generator? Probably but we think it's worth it! Julien Moura https://talks.osgeo.org/foss4g-2022/talk/MZTDHF/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/4e17972e-bb6c-4368-a7c6-c84d89224ab1https://video.osgeo.org/w/kREWiYGYDZ5gSvwammtsrFhttps://video.osgeo.org/lazy-static/thumbnails/5dc0a24f-da52-427d-b961-a46d87337194.jpgFOSS4G 2022 | pgRouting optimization: from technical to functionalDue to its SQL-based engine, the OpenSource Software pgRouting is the most flexible routing engine available. A common misconception is that pgRouting is the least performant routing engine. So how to keep both performance and flexibility with pgRouting ? Many factors should be taken into account. To begin with, the use cases. What level of precision do you need ? Will you be computing short or long routes ? Will there be many routes computed at the same time ? Simplification is the most common way to deal with performance issues. However, when accuracy is at the core of decision making, a minimum level of precision must be kept. Reducing the number of rows the routing engine will have to process is the number one tip to enhance performances. But there are many other technical and functional optimizations that can make pgRouting run much faster. We will look at some choices we had to make in various projects. How the data is the first key to optimization. But also how to help the routing engine make the best of it. Which algorithms are best used for which use cases, and how fine tuning the database can help too. Laure-Hélène Bruneton https://talks.osgeo.org/foss4g-2022/talk/JKV73V/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/a0cd131d-4a5a-47cd-bb0a-e3dca47cc3b1https://video.osgeo.org/w/vzhAHT4CK56iK3ytDbFgKLhttps://video.osgeo.org/lazy-static/thumbnails/9373e019-8a76-48f3-ab42-f176b86de931.jpgFOSS4G 2022 | Micronutrient Action Policy Support (MAPS) - A decision support tool for…Micronutrient Action Policy Support (MAPS) - A decision support tool for investigating the scale and geographic distribution of micronutrient availability in sub-Saharan Africa Micronutrient deficiencies (MNDs), so-called ‘hidden-hunger’, can have serious ramifications for the health of individuals affected and the economy of the country in which they live. MNDs are a global problem but disproportionately affect populations in low-income countries. Work to alleviate these deficiencies aligns with the UN’s Sustainable Development Goals (SDG), especially SDG2 – access to adequate safe and nutritious food. Data which can support the understanding of the scale and location of these deficiencies can be fragmented in their availability and accessibility, creating a barrier to their use in planning interventions by stakeholders in the very nations where the impacts of MNDs are most severe. The Micronutrient Action Policy Support (MAPS) tool is a web-hosted open access platform providing a unique enabling environment for the wider agriculture-nutrition community and beyond which allows users to view and explore MND risks at various spatial and temporal scales. The tool can provide users with dietary micronutrient supply estimates of all nations in sub Saharan Africa using national-scale and subnational-scale data. Preprocessing steps to clean these data in R language are made available through the open github repository, so that any user can replicate the data used in the tool. Priorities for the data and functionality have been co-designed with key users from project proposal stage. Stakeholder feedback is used in continued iteration as richer content, supporting material, and functionality is planned, developed and released. The platform is built on open-source technologies utilising Postgres and PostGIS to store, combine and interrogate a range of heterogeneous datasets to calculate micronutrient supply estimates, node.js for data APIs and web map services using G...https://video.osgeo.org/videos/embed/ef7ecb7a-51a5-4225-bc72-2ba00cccd29ehttps://video.osgeo.org/w/e2DJziExRXVvvgmLiEAXomhttps://video.osgeo.org/lazy-static/thumbnails/bad71955-7163-481f-aef9-3ed55fec37dd.jpgFOSS4G 2022 | State of GDALWe will give a status report on the GDAL software, focusing on recent developments and achievements in the 3.4 and 3.5 GDAL versions released during the last year, but also on the general health of the project. In particular, we will present new drivers such as the one handing Zarr datasets (format for the storage of chunked, compressed, N-dimensional arrays) or the Spatio-Temporal Asset Catalog Items driver to create virtual mosaics from STAC items, and potential future additions such as a new JPEG-2000 based driver using the Grok library, a driver for the SAP Hana database or driver for columnar storage format such as Apache Parquet and Arrow. The topic of coordinate epochs in geospatial datasets and how we’ve addressed it in various formats (GeoTIFF, GeoPackage, FlatGeobuf) will also be mentioned. As well as other improvements such as the JPEG-XL codec for the GeoTIFF format, or support for 64-bit integer data types in rasters. We will present the new CMake build system, the roadmap for its implementation, and its advantages for users and developers. Even Rouault https://talks.osgeo.org/foss4g-2022/talk/SB7PQE/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/6981ccff-bb51-4bc0-8ee7-6e0ce2ba231chttps://video.osgeo.org/w/5yFe3kK4i89yFWD4DigeJZhttps://video.osgeo.org/lazy-static/thumbnails/e41486b5-f7ed-4abf-8f4f-84527d326ff6.jpgFOSS4G 2022 | How to Mapillary - Getting started with Street-level MappingMapillary is the platform that makes street-level images and map data available to scale and automate mapping. There are many tools available within Mapillary’s ecosystem, as well as many real world use cases where Mapillary can have an impact. In this talk, we will give an overview of the state of the Mapillary platform in 2022. This will include a look at compatible camera devices, upload methods, data and imagery management, download methods, integrations, and stories about users who apply Mapillary to solve a challenge. You should walk away from this talk knowing how you want to use Mapillary to improve maps important to you, and what tools you need to get started. If you are interested in improving OpenStreetMap, contributing to open data, capturing imagery in your community, or leveraging Mapillary street-level imagery and GIS data into your professional work, this talk is for you. No coding or technical experience is necessary, and the tools and features available can be adapted to any skill level. Join us! Christopher Beddow https://talks.osgeo.org/foss4g-2022/talk/S99HMM/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/24f48748-0334-4b84-ba74-ea7f29ef4e59https://video.osgeo.org/w/2YJcz5Tbjjoi7fttLpUpH2https://video.osgeo.org/lazy-static/thumbnails/78648e95-09b7-4e5a-bcef-1171bb04954a.jpgFOSS4G 2022 | Easily publish your QGIS projects on the web with QWC2QWC2 (QGIS Web Client 2) is the official web application of QGIS, that allows you to publish your projects with the same rendering, thanks to QGIS Server. The environment is composed of a modern responsive front-end written in JavaScript on top of ReactJS and OpenLayers, and several server-side Python/Flask micro-services to enhance the basic functionalities of QWC2 and QGIS Server. QWC2 is modular and extensible, and provides both an off-the-shelf web application and a development framework: you can start simple and easy with the demo application, and then customize your application at will, based on your needs and development capabilities. This talk aims at introducing this application and to show how easy it is to publish your own QGIS projects on the web. An overview of the QWC2 architecture will also be given. It will also be an opportunity to discover the last new features that have been developed in the past year and ideas for future improvements. Sandro Mani https://talks.osgeo.org/foss4g-2022/talk/WDPKKP/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/1004cbcf-cf66-46e2-8809-c920e9542dd7https://video.osgeo.org/w/46HtziXeXg7BDCGRsFqqeZhttps://video.osgeo.org/lazy-static/thumbnails/9fc28558-106f-42b2-b385-66bc011f3be0.jpgFOSS4G 2022 | G3W-SUITE: an OS framework dedicated to the publication and management of QGIS…G3W-SUITE: an OS framework dedicated to the publication and management of QGIS projects as WebGis services G3W-SUITE is a modular, client-server application (based on QGIS-Server) for managing and publishing interactive QGIS cartographic projects of various kinds in a totally independent, simple and fast way. The suite is made up of two main components: G3W-ADMIN (developed through Python, using Django ) as the web administration interface and G3W-CLIENT as the cartographic client., developed using a modular approach and is based on a “reactive programming” paradigm using Vue.Js, Javascript framework and OpenLayer3. This components communicate through a series of API REST. The application is compatible with QGIS 3.22 LTR and it is based on strong integration with the QGIS API. It is released on GitHub with Mozilla Public Licence 2.0 Many graphic/functional aspects of the WebGis publication derive directly from QGIS projects as, first of all, the general and OGC services capabilities. The suite automatically inherits aspects related to the project (themes, 1: N relations, simple and atlas print layout, filter on legend based on map content, layer display order and activation status ...) and related to individual layers (activation scale, interrogability, published attribute fields, join attributes, attribute form, editing widgets ...) . Of particular interest is the strong integration with the QGIS DataPlotly plugin. QGIS projects can be published as WebGis services via direct upload (no plugins needed) on the Administration component. The granular system of permissions and the subdivision into roles of users (individuals or groups) allows the management of services to be delegated to second and third level administrative users. It is also possible to define consultation permissions on individual WebGis services and editing permissions on individual layers with different editing powers per user. Finally, it is possible to define geographic and alphanumeric constr...https://video.osgeo.org/videos/embed/1917b1e9-3b85-4a80-a0a9-1fd031d62a3bhttps://video.osgeo.org/w/9Gf3931JVwQMMc1VHAFRSThttps://video.osgeo.org/lazy-static/thumbnails/b9f36224-f784-4994-9e62-48e3a5ff1b72.jpgFOSS4G 2022 | Norwegian National SensorHub - sharing IoT data with open standards and technologySensordata (IoT) is widespread in both private and public sector. However, making use of sensordata across different sectors and applications is challenging - in particular with respect to a geospatial application across different use cases. This encompasses both enviroment/climate sensors, like water-level sensors to smart-building monitoring and water pipe sensors. An interdisciplinary team from diverse sectors is working towards building national standards, an open architecture and implementing proof-of-concepts on a national sensorhub for sharing streams and archives of sensordata in Norway. The team builds upon the very successful open data ecosystems (SDI) that exists in Norway for standardized geospatial data. The project is funded from a range of partners including municipalities, the mapping authority and the maritime ports of Norway. The working group includes open source tech expertise on sensor technology alongside user and demand expertise from the different sectors. This talk will focus on the technological advances made from the team both on software and architecture. There will be particular focus on the open architecture and software prototyping that has been developed in the working group. Both of which will be available under an open license. Alexander Salveson Nossum https://talks.osgeo.org/foss4g-2022/talk/ESLMWH/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/466782b7-47d4-4788-a70f-71f8a5b35a83https://video.osgeo.org/w/csBoidTq46ti5SX8PzpuJihttps://video.osgeo.org/lazy-static/thumbnails/13883608-7a61-4495-831d-7043cceb0627.jpgFOSS4G 2022 | swissgeol.ch - Geology in 3D: new featuresGeological data usually suffer from very low visibility because they are specialized data that are only accessible to a few people and can only be visualized and processed using special software. The swissgeol.ch portal, newly launched by swisstopo (Swiss Federal Office of Topography), aims to change this by making the data accessible on the Internet in a low-threshold and simple way using 3D visualization based and promoted with open-source technology and code. swissgeol.ch is a web application for the visualization and analysis of geological sub-surface data. It has been publicly available at https://viewer.swissgeol.ch since 2020, and the open source code is can be downloaded at https://github.com/swissgeol/ngm. In addition to the geo-portal of the Swiss Confederation (https://map.geo.admin.ch) which focusses on 2D spatial data, swissgeol.ch extents its functionality to 3D data above, on and below the surface. For this, it relies on 3D visualization on the web, which is based on CesiumJS and offers numerous expert tools. CesiumJS is the most widespread open source 3D globe library and is used worldwide in many different applications. It not only visualizes large-scale global data, but also very detailed data at the local scale, such as buildings in the 3D view of map.geo.admin.ch. With the development of swissgeol.ch, an underground navigation option was developed in CesiumJS for the first time, which allows the visualization of 3D objects below the terrain. In addition to navigating underground, it is also possible to see through the earth's surface using transparency settings, as well as to slice the 3D-scene vertically. With the use of 3D tiles and precise terrain (2m precision), the data is delivered in an optimized format for the web. At the same time, the download of original data of entire layers or individual objects in the layer is offered. After the positive echo of last year’s talk, we are going to present this year selected features and data in gr...https://video.osgeo.org/videos/embed/5ccbab72-1698-4ca0-86c8-8bffb3e6edcdhttps://video.osgeo.org/w/7dHuyf5EQDm4Py5GDDtrYuhttps://video.osgeo.org/lazy-static/thumbnails/f2a1cfc6-b639-4c2c-8cd9-6e1e89eff1d2.jpgFOSS4G 2022 | GeoMapFish status: vector tiles!GeoMapFish is an open source WebGIS platform developed in close collaboration with a large user group. It targets a variety of uses in public administrations and private groups, including data publication, geomarketing and facility management. OpenLayers and an OGC architecture allow to use different cartographic engines (MapServer, QGIS Server). Recently new features have been added such as vector tiles integration, from raw data to visualization. In order to get rid of AngularJS dependency, a roadmap has been established for a migration to a web components architecture. Everything has been planned so that our users can continue to develop their projects during this process. K8S support is evolving with the implementation of the necessary tools for Azure environments. Highly integrated platform, large features scope, fine grained security, reporting engine, top performances and excellent quality of service are characteristics of the GeoMapFish solution. In this talk we ll present the key usages, web components migration process and latest developments, including vector tiles support. Yves Bolognini https://talks.osgeo.org/foss4g-2022/talk/BSG7EL/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/325d53e8-686e-490f-903b-a7ad296f80f8https://video.osgeo.org/w/4aG3R6Z85k65Y3hfpvqrLFhttps://video.osgeo.org/lazy-static/thumbnails/70b6d817-05bd-43e3-9ee5-ee06da287f4a.jpgFOSS4G 2022 | Implementing OGC APIs using Elasticsearch and pygeoapiThe Open Geospatial Consortium API family of standards (OGC API) are being developed to make it easy for anyone to provide geospatial data to the web, and are the next generation of geospatial web API standards designed with resource-oriented architecture, RESTful principles and OpenAPI. In addition, OGC APIs are being built for cloud capability and agility. pygeoapi is a Python server implementation of the OGC API suite of standards. The project emerged as part of the OGC API efforts started in 2018 and provides the capability for organizations to deploy OGC API endpoints using OpenAPI, GeoJSON, and HTML. pygeoapi is open source and released under an MIT license. pygeoapi is built on an extensible plugin framework in support of clean, adaptive data integration (called "providers''). Elasticsearch (ES) is a search engine based on the Lucene library. It provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents. The Elasticsearch data provider for pygeoapi is one of the most complete in terms of functionalities and it also includes CQL support with the CQL-JSON dialect, which allows you to take extra advantage of the ES backend. This presentation will provide an overview of OGC APIs, pygeoapi and Elasticsearch integration, and demonstrate usage in a real-world data dissemination environment. Tom Kralidis Francesco Bartoli Antonio Cerciello Joana Simoes https://talks.osgeo.org/foss4g-2022/talk/KXSW83/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/19a5ca81-1461-470f-8992-221f69432c13https://video.osgeo.org/w/nmwuyugfQkGNcha4VadfjDhttps://video.osgeo.org/lazy-static/thumbnails/178891bd-53e9-4091-be93-2016f21b4944.jpgFOSS4G 2022 | Use of remote sensing and GIS processing for mapping Chestnut stands decline in…Use of remote sensing and GIS processing for mapping Chestnut stands decline in Piemonte Region Chestnut stands in Piemonte are presently suffering a severe decline due to the concurrence of climatic and silvicultural factors. A project funded by Piemonte region involving the Regional Chestnut Centre and IPLA S.p.A. started in 2018 with the aim of defining technical guidelines for proper interventions in declining stands. The present contribution deals with the activities of spatial monitoring of declining areas through satellite images interpretation and GIS analysis making use of QGIS and Grass tools. Methodological approach was based on the selection of Sentinel 2A e 2B images taken at the beginning and at the end of the summer season in 2017, 2018 e 2019 on a test area. Those images were then processed calculating some indexes with raster functions implemented in QGIS. NDWI Normalized Difference Water Index (B8-B12/B8+B12) resulted the more sensible to the presence of declining stands Accurate mapping of areas suffering different degree of damages on the whole Region was then carried out starting from a preliminary analysis of experimental parcels surveyed on the field. Fabio Giannetti https://talks.osgeo.org/foss4g-2022/talk/KQJTPH/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/aced9431-6668-41e2-840e-637c410f4d01https://video.osgeo.org/w/5dMPneq42FmBPZJf92vgBPhttps://video.osgeo.org/lazy-static/thumbnails/ced08072-c814-4fcd-8132-d1091c38d2d2.jpgFOSS4G 2022 | ETF testing framework: past, present and futureETF is an open source testing framework for validating data and APIs in Spatial Data Infrastructures (SDIs). It is used by software solutions and data providers to validate the conformity of geospatial data sets, metadata and APIs. For example, ETF is the underlying framework used by the INSPIRE Reference Validator to validate INSPIRE metadata, datasets and services against the requirements of the INSPIRE Technical Guidelines. ETF is also used extensively in Germany by the Surveying Authorities of the Laender to validate their datasets. This includes Real Estate Cadastral data, Topographic data, Control Points, 3D Building Models, House Coordinates and Building Polygons. In the test environments of the German Laender, a comprehensive series of attributive, relational, geometric, and topological tests are performed on the data, in addition to interacting with APIs and checking for errors in the interface contracts. Other European Union (EU) Member States are also reusing ETF to allow their data providers to test resources against national requirements. Finally, some software tools such as GeoNetwork open source include validation based on the ETF API in their workflow. Goals in designing the ETF software were to create test reports that are user-friendly and self-explanatory as well as to be able to validate large amounts of data, which can be several hundred GB in size. In order to cover different validation tasks and present them in a unified report, the architecture is modular and different Test Engines can be used. Currently the following Test Engines are supported: SoapUI for testing web services, BaseX database for testing XML data, Team Engine to validate WFS and OGC Web APIs using the OGC CITE tests, NeoTL Engine for testing WFS, OGC Web APIs and datasets. As a horizontal and reusable tool, which could be extended to satisfy the needs of different communities and domains, ETF is currently considered as a component of the so-called Common Services Platfo...https://video.osgeo.org/videos/embed/222db724-4af2-4c09-bbcf-a97247e52951https://video.osgeo.org/w/bNSaicQcNiCg6wbobJxGWUhttps://video.osgeo.org/lazy-static/thumbnails/a96de1ea-3c2c-41e5-94d2-c22b801a8bd4.jpgFOSS4G 2022 | From photographic survey to street-level imagery integration in an OpenSource webgis:…From photographic survey to street-level imagery integration in an OpenSource webgis: complete workflow For several years Gter has been involved in the development and maintenance of the webGIS related to the management of the road network of the Province of Piacenza. Recently, the client requested the integration of the images, deriving from the photographic survey of about 520 Km of routes, in the existing webGIS (an instance of Lizmap Web Client which public version can be found here https://catastostrade.provincia.pc.it/lizmap/lizmap/www/index.php/view/map/?repository=progettipubblici&project=catasto_strade_pub). In this case, the Public Administration needed the photographic survey in order to update a set of old images sparsely distributed along the network and to have a customized tool similar to services like Google Street View. Therefore, an integration of the Mapillary viewer in Lizmap Web Client has been proposed and developed; hence the survey was performed with a camera that uses front and back optics to have 360-degree photos. The workflow consisted of four main tasks. The first step involved the photographic survey of the road network using a GoProFusion360 mounted on a car that took photos of the surrounding environments. The next step consisted in the processing of the images, stitching the front and the back photos in order to obtain a 360-degree panoramic image. This step has been automated through the development of a Python script together with the use of the available software of the camera from the command line. About 50000 photos were uploaded on the Mapillary platform. Images have been integrated into the Lizmap Web Client webGIS through the Mapillary viewer and utilities. The integration was achieved by developing a new feature for Lizmap Web Client based on Mapillary JS, an Open Source library provided by Mapillary that helps developers interact with the Mapillary API. The final result is a tool that makes the Public Administration ab...https://video.osgeo.org/videos/embed/5786832c-4e73-4cac-a934-06fe1782e048https://video.osgeo.org/w/sDmYLUaMccrsmoYmqTD5zehttps://video.osgeo.org/lazy-static/thumbnails/aed93be6-3d9a-4ea9-aa8a-52d90e0767da.jpgFOSS4G 2022 | A high performing data retrieval system for large and frequently updated geospatial…A high performing data retrieval system for large and frequently updated geospatial datasets ECMWF is a research institute and a 24/7 operational service, producing global numerical weather predictions and other data for a broad community of users. To achieve this, the centre operates one of the largest supercomputer facilities and data archives within the meteorological community. ECMWF also operates several services for the EU Copernicus programme to provide data for Climate Change, Atmospheric monitoring and Emergency services. As part of ECMWF's Open data initiative, more and more meteorological data and web services are freely available to a wider community. ECMWF's web services include an interactive web application to explore and visualize its forecast data, a Web Map Service (WMS) server and many graphical products including geospatial weather diagrams so called Ensemble (ENS) meteograms and vertical profiles. ENS meteograms and vertical profile diagrams are among the ECMWF's most popular web products and presents ECMWF's multi-dimensional real-time ensemble forecast data for a given position globally. They are freely available through various ECMWF web services, and integrated on ECMWF's GIS based interactive web application. Datasets powering the dynamically generated diagrams are formed from a rolling archive of 10 days data, updated twice a day and each update consists of data around half a Terabyte. An upcoming update on ECMWF's forecasting system will increase the data size by a factor of 3-4 times in the near future. In addition to ECMWF's forecast data, similar services are requested as part of various Copernicus projects producing different datasets. This talk presents migrating legacy data structure used for ENS meteogram datasets to a more flexible, extensible, and high performing one fit to be used by GIS systems by using Free Open Source Software (FOSS). The new data structure uses Python ecosystem. The data preparation workflow as well...https://video.osgeo.org/videos/embed/d7c50da7-4f4a-4873-8f7f-47c206de6c0fhttps://video.osgeo.org/w/j2Nn9sV3NdbPaQGReHnL56https://video.osgeo.org/lazy-static/thumbnails/7f04ce45-f3c8-464e-b3c4-e413804c0532.jpgFOSS4G 2022 | Helping to Land a Mars Rover using FOSS4G ToolsSince landing on Mars in February of 2021, the Mars 2020 Perseverance Rover has been exploring Jezero crater to investigate an ancient delta looking for the evidence of past microbial life and to better understand the geologic history of the region. In support of Terrain Relative Navigation (TRN), which enables the Mars 2020 spacecraft while landing to autonomously avoid hazards (e.g., rock fields, crater rims), the USGS Astrogeology Science Center generated two precision mosaics: 1) the Lander Vision System (LVS) map generated from three Context Camera (CTX) orthorectified images that was used onboard the spacecraft and was the “truth” dataset that TRN used to orient itself relative to the surface during Entry, Decent, and Landing; and 2) a High Resolution Imaging Science Experiment (HiRISE) orthomosaic which was used as the basemap onto which surface hazards were mapped. The hazard map was also onboard the spacecraft and used by TRN to help identify the final, hazard-free landing location. This talk will present the workflow used by the USGS Astrogeology Science Center to generate these critical data products including the use of FOSS4G tools like GDAL. Other open-source packages used will also be shared. Trent Hare https://talks.osgeo.org/foss4g-2022/talk/YF7EPR/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/9204d016-5193-4a3f-9286-6abf173dd555https://video.osgeo.org/w/1aLj75SMWHFtmV1xXYQDExhttps://video.osgeo.org/lazy-static/thumbnails/8a6385d7-0720-453f-8070-e1df92c54266.jpgFOSS4G 2022 | State of Lizmap - Past / Present / FuturLizmap is an opensource server application to publish QGIS project on the web without any coding skills needed. It's using QGIS Server in the backend so users have the same rendering between their QGIS Desktop and the web version of their project. QGIS Server and Lizmap are reading QGIS project to publish layers with their legend, forms, print layout, layer relationships... Some additional Lizmap configuration can be added to have dataviz capabilities, decide or not to publish the attribute table or to configure the feature filter form. No coding skills are required, all the configuration is done using QGIS Desktop user interface. The QGIS project is adapted for web browsers and have a responsive UI. Lizmap include some Access Control List at different levels such as project, layer or even features. The goal of this presentation is to show the state of this opensource project hosted on GitHub and to explain the roadmap. Boisteault Nicolas Etienne Trimaille René-Luc Dhont https://talks.osgeo.org/foss4g-2022/talk/CWGULA/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/015d0094-6d5c-4a0a-8066-53047303aa0fhttps://video.osgeo.org/w/tGuST1WtbH7jk9utyMpmwWhttps://video.osgeo.org/lazy-static/thumbnails/be0f5837-2ee8-4f12-a74b-1f29c9f40cde.jpgFOSS4G 2022 | SensorThings API in practice: the AIR-BREAK project in FerraraIn the city of Ferrara (Italy) Dedagroup Public Services and other partners are involved in AIR-BREAK project (https://airbreakferrara.net/) to implement a set of geo-ICT tools for supporting an improved identification and monitoring of urban air quality. Different datasets from heterogeneous sources have been already interconnected and integrated in the Spatial Data Infrastructure of the Municipality of Ferrara, based on (geo)standard protocols for data interchange sourced by: • 173 authoritative AQ monitoring stations from 3 regional environmental agencies, ARPAE Emilia-Romagna (52), ARPA Veneto (33) and ARPA Lombardia (88), for their own whole regional areas; • 2 private AQ monitoring stations managed by private companies located in Ferrara; • 14 new AQ monitoring stations installed by Lab Service Analytica (project partner) in the territory of Ferrara For integrating and sharing dynamic hourly data about air quality and other themes, we adopted the OGC Sensor Things APIs (STA) as the reference standard protocol [1]. STA is based on the OGC/ISO 19156:2011 [2] and provides an open and unified framework to interconnect IoT sensing devices, data, and applications over the Web. It is an open standard addressing the syntactic interoperability and semantic interoperability of the Internet of Things. It complements the existing IoT networking protocols such CoAP, MQTT, HTTP, 6LowPAN. While the above-mentioned IoT networking protocols are addressing the ability for different IoT systems to exchange information, STA is addressing the ability for different IoT systems to use and understand the exchanged information. In AIR-BREAK project, FROST solution (FRaunhofer Opensource SensorThings-Server) [3] has been deployed in the GIS server farm of the Municipality of Ferrara to complement Geoserver and other technologies already providing services for viewing/accessing data based on OGC standards. Indeed, among the final objectives of the project, the implementation of a sta...https://video.osgeo.org/videos/embed/e04e4a74-fde0-4bdf-b5ee-758550a573fahttps://video.osgeo.org/w/mS1YxEwzSSo3a5sW9PmtS4https://video.osgeo.org/lazy-static/thumbnails/65ac9d0a-44ee-475c-91b9-e5b830a6e96a.jpgFOSS4G 2022 | Where Is Everyone?: The Global Impact of COVID on Road TrafficThis presentation examines the global impact of COVID-19 on traffic across 40 cities in Europe, South East Asia, Australia, and North America. I analyzed monthly rush hour traffic from 2019 to 2021 with GeoPandas, leafmap, and HERE's Traffic Analytics data. In addition, I correlated traffic volume with COVID positivity, mortality, and vaccination rates to examine how these factors influence the resumption of pre-pandemic traffic patterns. Because of the volume of the traffic data (billions of records), desktop GIS software, including spatially enabled databases, could not reliably process it on a desktop computer. Online solutions, such as Google Colab, would have been a costly alternative given the amount of data. However, GeoPandas and Jupyter notebook on notebook computer was able to process the traffic data and enhance the spatial road data and support joining the result to the road network for visualization. The method for processing the data will be discussed in detail. In summary, open source tools give researcher unprecedented abilities to process large amounts of data. Sophia Parafina https://talks.osgeo.org/foss4g-2022/talk/JVFVCS/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/a8f29001-6bde-475c-8e4f-837d6372f4b3https://video.osgeo.org/w/w5xLcRUzJrVVafF5xT5CUmhttps://video.osgeo.org/lazy-static/thumbnails/cbf81015-0280-4ec4-9a48-5c7e1b3bb579.jpgFOSS4G 2022 | 3D Tiles Next"3D Tiles Next" is a major update of the "3D Tiles" OGC Community Standard 1.0. 3D Tiles are designed by Cesium GS, Inc. for streaming massive heterogeneous 3D geospatial datasets. 3D Tiles Next is a set of extensions in the following areas: - direct use of glTF models - using glTF for point clouds and glTF extensions for texture compression additional 3D tiles functionality - semantic metadata stored per tileset, feature, vertex and more - implicit spatial indexes (quadtree, octtree, S2 subdivision) This presentation gives an overview of the current "3D Tiles" format and shows new features in the "3D Tiles Next" specification. It also covers other existing 3D OGC (community) standards like CityJSON or «Indexed 3D Scene (I3S)». Important further topics are : - overview of viewers for 3D Tiles on the web and in native and mobile applications using game engines - data processing tools for producing data in these formats - building a community for creating 3D tiles for GIS and OSM data Pirmin Kalberer https://talks.osgeo.org/foss4g-2022/talk/KW7SQD/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/f394b580-e26a-450b-a288-13aed047bc9chttps://video.osgeo.org/w/jfPkewJwBa8TcoB6jiQpEPhttps://video.osgeo.org/lazy-static/thumbnails/380d0c14-0878-42a9-a927-af2c0da77e55.jpgFOSS4G 2022 | Creating vector tiles with osm2pgsqlFor over a decade now osm2pgsql has been the standard tool for importing OpenStreetMap data into a PostgreSQL/PostGIS database for rendering of raster tiles and many other use cases. Thanks to several improvements in the last years centered around a flexible configuration language and new geoprocessing capabilities, osm2pgsql is now also a great base for creating a vector tile toolchain. It can easily handle imports of a small country in a few minutes as well as scale to a planet-sized database with minutely updates from OSM. The talk will introduce some of the new features that allow you to customize the database table layout and contents. It will outline the few steps needed to create your very own custom vector tiles based on OpenStreetMap data. We'll see how you can use the configuration language to clean up OSM data on import and prepare it for fast access with a vector tile server like T-Rex. Jochen Topf https://talks.osgeo.org/foss4g-2022/talk/UYJAMC/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/93d613ea-aefd-4969-8b49-87eb89b73897https://video.osgeo.org/w/dzUodpq4k29GMynvjXuiAWhttps://video.osgeo.org/lazy-static/thumbnails/522b61f1-707a-40c3-853c-b9cd8eedd924.jpgFOSS4G 2022 | We are Open! OGC and OSGeo CollaborationThe Open Geospatial Consortium (OGC) and the Open Source Geospatial Foundation (OSGeo) have a long and natural tradition of collaborating. In 2022, the Memorandum of Understanding between both organizations was updated - to pay tribute to ongoing and future activities. In the initial MoU (2008), OGC and OSGeo agreed to work closely to coordinate with each other’s memberships regarding new standards developments and standards changes that may be required as a result of open source programs. Another important aspect of the relationship is to keep each other well informed of the respective activities and directions. Both aspects have proven to be of great importance. One goal was and is to coordinate activities in such a way as to maximize the achievement of both organizations’ mission and goals. That includes to identify open source technologies that can be used as reference implementations for and validate compliance tests developed for OGC adopted standards. Since the first MOU, there has been an increase in OGC on developer focus and engagement of software communities and activities. Increased collaboration has also occured by way of the OGC API code sprints. In addition, key opportunities for cross pollination have evolved given shared missions (FAIR data) and the viewpoint that FOSS4G software is beneficial for all software. The development of the OGC API suite of standards is an excellent example on how the MoU works in practical terms. The OGC APIs are a family of Web APIs that have been created as extensible specifications designed as modular building blocks that enable access to spatial data that can be used in data APIs. These revolutionary APIs make location information more accessible than ever before through the use of RESTful principles, and the OpenAPI specification for describing interfaces. OGC APIs have been tested in close collaboration with the global developer and end user communities through hackathons, sprints, and workshops to provide a m...https://video.osgeo.org/videos/embed/65e97d91-595f-490c-9908-82515787ab1ehttps://video.osgeo.org/w/9fb2ksfSskEFbprEmx1Uojhttps://video.osgeo.org/lazy-static/thumbnails/8e9ec5ed-bb78-478c-9fdc-4fdb6e871f08.jpgFOSS4G 2022 | The GreenUr project: creating an application in QGIS to manage the impacts of urban…The GreenUr project: creating an application in QGIS to manage the impacts of urban green spaces on human health Globally, the population living in urban areas is increasing with a strong impact on land use patterns, particularly on the availability and use of green spaces. The impact of green spaces is beneficial to health, for example, by reducing mortality or improving mental health. These effects are also related to different ecosystem services provided by green spaces, such as regulating temperature, modifying air pollution and noise levels, and offering more opportunities for physical activity. GreenUr is a plugin for QGIS that aims at putting together knowledge and information on the impacts of green space on health. It is developed as a prototype representing a work in progress coordinated by the World Health Organization (WHO) to provide an educational tool to introduce the relation between green spaces, health, and well-being and raise awareness of the importance of green spaces in cities globally. The tool can also be used as ‘quickscan’ for urban spatial planners that would like to orientate on possible effects of current and new green space design. The plugin has been tested with different experts and locations, and it will be downloadable via the QGIS Plugin manager from the project website. The GreenUr tool allows the users to estimate the impacts of green spaces on health in a given population. The main questions addressed by the current version of the GreenUr prototype are the following: - How much green space is available for the population of a specific city? - Which are the pathways through which green spaces relate to health? - Where within a city are health-related benefits of green spaces the largest? - Which are hypothetically different land-use scenarios for green spaces? - What would be the magnitude of the change in health impacts if future green space would be changed in cities? All calculations performed by GreenUr are based...https://video.osgeo.org/videos/embed/42c3b2ef-8fa9-4791-887a-68a9d7d540cehttps://video.osgeo.org/w/ibHD6UsRTEzUAhCcSUbqZXhttps://video.osgeo.org/lazy-static/thumbnails/c3270a2d-43fa-45f7-bc9d-45720ebec139.jpgFOSS4G 2022 | A tool for mapping fire burn severity and extent in watersheds for flood risk…A tool for mapping fire burn severity and extent in watersheds for flood risk assessment As climate change progresses, we are experiencing an increase in the frequency and severity of extreme weather events in many parts of the world. Climate models predict the frequency and severity of these weather events to continue to increase in the future as surface air temperatures rise. In 2021, the Canadian province of British Columbia (BC) experienced one of the most severe fire seasons on record which destroyed communities and ecosystems across the province. In the same year, an “atmospheric river” precipitation event led to widespread flooding causing severe damage to roads and communities across BC. There is a correlation between severe wildfires and increased runoff following precipitation events in some regions. There is a need for better prediction, monitoring, and management of fire and flood events to mitigate the damages caused by post-wildfire flooding. Remote sensing data and analysis techniques play a key role in monitoring climate-related natural disasters and helping understand and mitigate risks to communities, ecosystems, and infrastructure in areas that may be exposed to flooding. Free remote sensing datasets along with free and open source software can greatly reduce the costs and increase availability of this monitoring capability, increasing stakeholder access to geospatial intelligence. This talk presents a tool developed at Sparkgeo for automated mapping of burn severity and extent within watersheds of interest. The tool uses multi-source public remote sensing data in a cloud-based workflow, taking advantage of recent open source initiatives including the SpatioTemporal Asset Catalog (STAC). The tool can help assess flood risk from significant rainfall events and may offer essential flood mitigation and risk management knowledge. We present the tool’s deployment to map 2021 wildfires in several British Columbia watersheds. Gordon Logie https:...https://video.osgeo.org/videos/embed/8b2a74cf-4e32-48c9-a4d6-934d523e8951https://video.osgeo.org/w/hb9urNnKE4Qv2jdu4AXrZWhttps://video.osgeo.org/lazy-static/thumbnails/cab96ec8-d479-47f7-bf5e-17afffaae68b.jpgFOSS4G 2022 | geotiff.js - efficient GeoTIFF exploration in the browser and servergeotiff.js is a reusable library to abstract remote (Geo)TIFF files. With it, both rich visualization frontends or statistical or data access services can be implemented, as it is possible to inspect the geospatial metadata and the full spectrum raster values of the original data, instead of only 8-bit RGB(A). Due to its file abstractions, it is possible to only read the relevant portions of a file, thus greatly reducing bandwidth and response times. This effect can be further increased when reading Cloud Optimized GeoTIFF (COG) files. The library tries to be as feature complete as possible in terms of file layout, raster cell values, RGB transformation, image data compression and metadata. This talk will detail the features of geotiff.js, as well as its most recent additions. Additionally, it will shed light on the greater ecosystem of geospatial libraries and applications where geotiff.js is embedded or building the foundation of. Fabian Schindler-Strauss https://talks.osgeo.org/foss4g-2022/talk/K8JQMZ/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/82fce380-0146-41f7-9909-3391a982ee3chttps://video.osgeo.org/w/rxzxnBTgjhtcSx1X77fzBphttps://video.osgeo.org/lazy-static/thumbnails/934c2ecb-c917-4c44-90a4-44dc726f4986.jpgFOSS4G 2022 | Supporting precision farming with GeoServer: past experiences and way forwardThe amount of data available from drones, earth observation as well as machinery itself (i.e. telemetry data) plus the advent of cloud infrastructure has given a huge impulse to innovating the way we used to support farmers and farming in general, democratizing access to data and capabilities like never before through precision (or digital) farming solutions. Precision farming (or digital farming) has therefore become one of main use cases for GeoServer deployments over the past years and at GeoSolutions we have worked with many clients, from NGOs to large private companies (like Bayer), from startups to organizations like DLR in helping them to support their client to make sense of data and information through GeoServer and other geospatial open source technologies at scale, in the cloud. This presentation will condense 10 years of GeoSolutions in ingesting, managing and disseminate data at scale in the cloud for the precision farming industry covering items like: - Proper optimizations and organization of raster data - Proper optimizations and organization of vector data - Modeling data for performance & scalability in GeoServer and PostGIS - Deployment guidelines for performance and scaling GeoServer - Styling to create NDVI and other visualizations on the fly At the end of the presentation the attendees will be able to design and plan properly a GeoServer deployment to serve precision farming data at scale. Andrea Aime Simone Giannecchini https://talks.osgeo.org/foss4g-2022/talk/SJTQTK/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/cedd3195-a227-480c-a985-f544ba0006b9https://video.osgeo.org/w/c8556htnvJYwDNykEXiJV1https://video.osgeo.org/lazy-static/thumbnails/f98d451a-d101-4bd2-a7f3-8edf7e1fd1a6.jpgFOSS4G 2022 | State of GeoServerGeoServer is a web service for publishing your geospatial data using industry standards for vector, raster and mapping, as well as to process data, either in batch or on the fly. GeoServer powers a number of open source projects like GeoNode and geOrchestra and it is widely used throughout the world by organizations to manage, disseminate and analyze data at scale. This presentation provides an update on our community as well as reviews of the new and noteworthy features for the latest releases. In particular, we will showcase new features landed in 2.20 and 2.21, as well as a preview of what we have in store for 2.22 (to be released in September 2022). Attend this talk for a cheerful update on what is happening with this popular OSGeo project, whether you are an expert user, a developer, or simply curious what GeoServer can do for you. Andrea Aime Jody Garnett https://talks.osgeo.org/foss4g-2022/talk/3CZH8X/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/5a113d7e-3477-4924-b60d-233a8c272382https://video.osgeo.org/w/qD3JsyTrvP8Ktpu8J1TDSehttps://video.osgeo.org/lazy-static/thumbnails/4a0d09d5-2c0a-4eb2-9b00-b8b0139b0136.jpgFOSS4G 2022 | Realtime multi-user mapping with MUDrawMapping is a private operations. It is done with several different local tools and usually by one person at a time. Yet we are used to have realtime multiuser editing of spreadsheets, documents and presentations. MUDraw tries to define a protocol to enable multiuser editing of features on a map and make it available as a library for both Leaflet as well as Maplibre (and enabling cross-library data editing) in order to make map editing a group activity. It relies on the client(s) and a server part written in Python/FastAPI that can be used independently from the infrastructure in which the communication is used and can set up a persistence layer taht is connected directly to github or other storage facilities.The idea of this tool is to be able to integrate it into UMap in order to make it a more fun to use tool, but also in a longer perspective, part of the Public History Toolkit OpenHistoryMap is developing. Marco Montanari https://talks.osgeo.org/foss4g-2022/talk/KTDUZE/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/c78787f0-0861-4537-a61d-c941792d0e8dhttps://video.osgeo.org/w/8faK69kcrNxvZVUeEo5Pp7https://video.osgeo.org/lazy-static/thumbnails/a26a7fd6-ad5d-4395-831c-dad4fdf25d92.jpgFOSS4G 2022 | State of GeoRasterLayer: A LeafletJS Plugin for Visualizing GeoTIFFs (and soon other…State of GeoRasterLayer: A LeafletJS Plugin for Visualizing GeoTIFFs (and soon other rasters) GeoRasterLayer is a LeafletJS Plugin for visualizing GeoTIFFs. This presentation will show live demos of new features and discuss the roadmap for the next couple of years. ### Features - Support for nearly all projections, thanks to proj4-fully-loaded (https://github.com/danieljdufour/proj4-fully-loaded) and epsg.io (https://epsg.io/) - Super faster rendering thanks to a simple nearest neighbor interpolation - Use of web workers means seamless integration that doesn't block main thread - Loads large geotiffs greater than a hundred megabytes - Supports custom rendering including custom colors, directional arrows, and context drawing - Doesn't depend on WebGL ### Videos - Edge Compute: Cool Stuff You Can Do With COGs in the Browser (https://www.youtube.com/watch?v=XTkNhGpfmB8&amp;t=4190s) - 2019 - Algorithm Walk-through: How to Visualize a Large GeoTIFF on Your Web Map (https://www.youtube.com/watch?v=K47JvCL99w0) ### Examples - Loading the georaster-layer-for-leaflet library along with GeoBlaze via a script tag. You can view the source code here (https://github.com/GeoTIFF/georaster-layer-for-leaflet-example/blob/master/examples/load-via-script-tag-with-geoblaze.html) and the live demo here (https://geotiff.github.io/georaster-layer-for-leaflet-example/examples/load-via-script-tag-with-geoblaze.html). - Combining two Cloud Optimized GeoTIFFs together to create an NDVI map. You can view the source code here (https://github.com/GeoTIFF/georaster-layer-for-leaflet-example/blob/master/examples/ndvi.html) and the live demo here (https://geotiff.github.io/georaster-layer-for-leaflet-example/examples/ndvi.html). - Identifying Wildfires from a Landsat 8 Scene. You can view the source code here (https://github.com/GeoTIFF/georaster-layer-for-leaflet-example/blob/master/examples/identifying-wildfires-with-landsat.html) and the live demo here (https://geotiff.gith...https://video.osgeo.org/videos/embed/3aaa633f-07cf-4343-a4a8-0fa6ec436ad8https://video.osgeo.org/w/gfM3tmCZxb2CKehpEkFrbfhttps://video.osgeo.org/lazy-static/thumbnails/21a2088a-e451-46ce-bd47-f2d811b96054.jpgFOSS4G 2022 | Cloud Optimized Point Cloud: Compressed, Geospatial, Lossless and Compatible Data…Cloud Optimized Point Cloud: Compressed, Geospatial, Lossless and Compatible Data Organization for Analysis Ready Point Cloud Data Point cloud data are an important component of geospatial data workflows, but software and formats to manage it often have compromises that work against efficient storage and processing of data. While commonly seen characterizing topographic information in LiDAR applications, point cloud data are an important driver of change detection applications in SAR workflows and provide important raw data to bring the physical world to the augmented one through handset capture on devices like the iPhone 12+. COPC.io is an open specification by Hobu, Inc. for organizing point cloud data in LAZ that allows it to be streamable over HTTP, selectable for resolution or spatial window, and adaptable to existing point cloud workflows in a backward compatible way. We will discuss the design choices and evolution of COPC, demonstrate its use in PDAL and QGIS scenarios, and show how COPC can be used in the cloud for management of massive point cloud collections. Howard Butler https://talks.osgeo.org/foss4g-2022/talk/VPDKN7/ #foss4g2022 #generaltrack #AI4EOChallengesAndOpportunitieshttps://video.osgeo.org/videos/embed/7b89404d-29c9-4a07-82dd-26480fd66f9ehttps://video.osgeo.org/w/bLnkcoHBaoCXP5Q6QSXfnLhttps://video.osgeo.org/lazy-static/thumbnails/2ebaa136-9ae8-4f38-b331-5be60609fdeb.jpgFOSS4G 2022 | Building the Bloomberg for Climate Data with FOSSI am the Founder and CTO of Blue Sky Analytics, a Climate-Tech Startup using satellite-derived climate intelligence to power financial decisions. We provide datasets through API spanning flood, drought, wildfire, heat risk for monitoring, measuring and mitigating climate risk which can be leveraged for various use-cases. In 2 years, we have analyzed TBs of data, delivered 5 datasets & built platforms for data visualisation and distribution from scratch using FOSS technology. This has been a rocket-ship of a journey, chasing our mission of building a ‘Bloomberg for environmental data’. However, the not-so-secret sauce to achieving these milestones has been FOSS. We are often asked how we procure raw geospatial data and how much we spend on it. Thanks to the abundance of open data, our data acquisition cost has been 0. Due to the generous open data policy of amazing organisations like NASA & ESA, we have been able to build a business collecting TBs of data daily & crunching them into useful insights. This helped us scale our vision to build a global environmental data stack for tracking climate change in real-time. Moreover, before this data can be applied to climate mitigation, it needs to be analysed. This is true for any big data and today, less than 1% of global data is analysed. Given that satellite data is the most significant source of tracking climate variables, it became imperative to tap this source. We discovered that the path to providing environmental datasets was by building a powerful geospatial data refinery along with SpaceTime™ (https://spacetime.blueskyhq.in/) and our dev portal (http://developer.blueskyhq.in). There was limited infrastructure available to support the delivery of geospatial datasets so we built it, leveraging open-source tools like Postgres, QGis, GDAL, k8s etc. While we have proprietary layers to our models, as a team of young developers, data scientists and designers, many self-taught, our cultural ethos stands firmly wi...https://video.osgeo.org/videos/embed/572d4216-b1e3-4d7c-a5cf-9c799a3113dehttps://video.osgeo.org/w/wTAmUkKmYj2tXGEEPAFhJPhttps://video.osgeo.org/lazy-static/thumbnails/6d005efa-e1e5-4b1a-926c-e5a08a965513.jpgFOSS4G 2022 | Maps in Motion: Introduction to the STAC Video ExtensionThis talk will introduce a new Spatiotemporal Asset Catalog (STAC) extension for geospatial video assets. The extension is designed to standardize the metadata for all types of overhead geospatial video assets, including those collected by satellite, UAV, or airborne sensors, while accommodating situations in which the sensor moves throughout the video. The talk will include a brief overview of the STAC ecosystem (elements and extensions), and explain the Video extension’s schema. In addition, there will be a complete end-to-end demonstration including data preprocessing and STAC item creation (entirely using FOSS tools), and a FOSS method for displaying STAC Video extension-enabled items on an interactive map. The audience need not prepare in any way for this introductory presentation, although some background in STAC and geospatial video might be beneficial. Otherwise, this talk has a broad appeal for data professionals through to frontend developers who are keen to add some motion to their maps! Darren Wiens https://talks.osgeo.org/foss4g-2022/talk/SBVBVU/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/fa264474-fff0-4187-9181-d4837e683b0bhttps://video.osgeo.org/w/ahs7oABEg56rWD5gi9MY6Bhttps://video.osgeo.org/lazy-static/thumbnails/4dd1043e-985c-4198-97bd-93ad6da1f687.jpgFOSS4G 2022 | Deploying and operating GeoServer: a DevOps perspectiveCloud computing is revolutionizing the way companies develop, deploy and operate software and GeoSpatial software is no exception. With benefits of cloud based deployments range from cost savings to simplified management, flexibility, lower downtime and scalability of dynamic environments it is easy to understand why more and more companies are migrating their on premise systems to the cloud but cloud based setups have their own set of hurdles and challenges. The migration of the series itself can be challenging. Monitoring, debugging and scaling of applications are very much different than what you are used to. In this presentation we will share with you the lessons we have learned at GeoSolutions to tackle these problems and share some common patterns for the migration of on premise GeoServer clusters to the cloud. We'll share with you tips on: - best practices to migrate your existing GeoServer cluster to the cloud - insights on your geoserver cluster using centralized logging and Monitor plugin - avoid common bottlenecks to best set up a distributed scalable GeoServer cluster - work containers and container orchestrators like Kubernetes Alessandro Parma https://talks.osgeo.org/foss4g-2022/talk/3RQZ73/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/4b2e3d3d-9877-495e-9e6c-41c50ced270dhttps://video.osgeo.org/w/e4GmRZz1yvNhwW8JqD2xrMhttps://video.osgeo.org/lazy-static/thumbnails/5b79387c-7cd3-43ff-bde9-44a4706f6801.jpgFOSS4G 2022 | How to deal with a massive geographic database when surrounded by datascientists ?The Scientific and Technical Center for Building (CSTB) built the first French database of buildings and houses to address climate change challenge, helping knowledge and decision making for massive retrofit. The pipeline factory intersects massive datasets (21 Millions buildings, ＞400 descriptors) and keeps adding new predictions and external datasets all the time. It allows to run analyses and predictions for all the climate change related indicators, such as housing price and energetic performance relation, heat wave impact, solar potential, etc.. While the first versions where a direct image of the classical datascientist’s approach -ie a massive dataframe driven by massive yaml config files and cryptic meta-templated scripts– ease of use and access performance soon became a limiting factor. This is a major concern since this dataset will be one long term foundation of derived information systems. Between brute force approach based on scaling resources up, and the old fashioned « data diet » normalization and optimization process, the truth is not easy to find. Abusing from cartoonish humor, this talk will try to explore the benefits of normalizing back hugely redundant geographic datasets and making public interfaces (public SQL model, API’s, vector tiles, OGC API’s) so that both end users can analyze efficiently this dataset, and the data manager team can rely on more stability using those good old’ database constraints. Régis Haubourg https://talks.osgeo.org/foss4g-2022/talk/3Z3TQY/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/69cae80b-e8bd-45f0-a5e0-e611454793abhttps://video.osgeo.org/w/goqXzyk5YKeqjJZi5DLPeihttps://video.osgeo.org/lazy-static/thumbnails/fe60c403-5db8-4789-9098-e4beeb22e5ec.jpgFOSS4G 2022 | Serverless GeospatialMore and more geospatial operations are happening in the cloud and often these processes are serverless. Whether your focus is on transportation logistics, agriculture, climate change analytics, or real estate; it is now possible to do geospatial computing in the cloud for both small and large projects. With serverless cloud compute options for data storage, compute, and desktop; we can now host our entire infrastructure completely serverless. Let's review the current state of geospatial serverless cloud infrastructure by exploring a stack consisting of OGC publishing, QGIS Desktop for cartography and client-side processing, TiTiler tile server, STAC data catalog, and a combination of data storage options. For OGC publishing, we'll review MapServer and Koop using Lambda plus API Gateway. Similarly TiTiler can also be built with Lambda and API Gateway. QGIS Desktop can now be run in the cloud through AWS Workspaces or AppStream. For our data storage, we can use a combination of S3, Aurora PostGIS, and Redshift. Dave Bianco https://talks.osgeo.org/foss4g-2022/talk/P9TKKA/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/7c9ad2eb-ae41-4111-a62a-00e969be5c0fhttps://video.osgeo.org/w/qXVLHkRVzLGNdFRQj5X4F2https://video.osgeo.org/lazy-static/thumbnails/79551c04-754b-4751-8adb-2e6b00ad544c.jpgFOSS4G 2022 | Vector tiles cartography tips and tricksVector tiles are changing the way we create maps. Client-side rendering offers endless possibilities to the cartographer and has introduced new map design tools and techniques. Let’s explore an innovative approach to modern cartography based on simplicity and a comprehensive vector tiles schema. After a short introduction or useful reminder to vector tiles, take a tour of their graphic capabilities through a series of original map design compositions. A variety of cartographic examples will be illustrated during this talk, with a particular focus on map display and performance. Rendering issues and technical limitations will also be put in perspective with pragmatic solutions or design alternatives. Get an overview of best practices for vector tiles cartography and learn about simple open-source recipes, towards advanced combinations of fills, patterns, fonts, and symbols. Selected layer parameters and style expressions will be discussed in a visual way and explained with basic syntax that you can take away. Nicolas Bozon https://talks.osgeo.org/foss4g-2022/talk/3KMLVC/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/ca2a5f68-a741-43e5-bf4e-d492dd014ddbhttps://video.osgeo.org/w/oC99o792hM6xwkE7nVMneMhttps://video.osgeo.org/lazy-static/thumbnails/84fc8127-6496-49de-b431-da211a315b9d.jpgFOSS4G 2022 | An introduction to deck.gl for data visualizationdeck.gl is one of the most advanced open-source libraries for data visualization. In this session we will discuss how its WebGL-powered engine can be used to perform visual exploratory data analysis of large datasets. This library is quickly becoming one of the most used in the FOSS4G world due to its open governance model and compatibility with other mapping libraries like MapLibre GL JS. We will learn how a deck.gl visualization is structured and what the main concepts are: views, layers and accessors. We will discuss its reactive architecture and how it can be used to build simple scripting prototypes and complex applications with modern JavaScript frameworks like React, Angular or Vue.js. We will present different examples ranging from simple layer visualizations to thematic and choropleth maps to advanced interactive 3D visualizations including animations. Finally we will focus on specific use cases for large data visualization, from datasets with hundreds of thousands of features with data formats like GeoJSON to datasets with billions of features using advanced tiling schemes. Borja Muñoz https://talks.osgeo.org/foss4g-2022/talk/CAPMXK/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/b734d870-916d-4306-80e6-d11c982d720bhttps://video.osgeo.org/w/wGr3TayU6KLwU9cWpMmGxghttps://video.osgeo.org/lazy-static/thumbnails/f0201353-88e4-4252-987e-440173b33d2c.jpgFOSS4G 2022 | GeoServer-cloud: Cloud Native GeoServer in production environmentsIn this presentation, we show how GeoServer-Cloud has matured into a production ready, cloud-native micro-services application. It has already been successfully deployed in production for three major organizations in their respective kubernetes environments. GeoServer-Cloud is a spring-boot/spring-cloud based micro services application built on top of GeoServer. The main goal of this implementation is to have an effective and easy way to scale the different services horizontally, splitting GeoServer geospatial services and API offerings into individually deployable components. All the services communicate with each other via a messaging queue. There’s no wait-time between configuration changes and their reflection across all services in the cluster, nor the need to reload the applications. The last year has not only been spent hardening the code, but also a lot of emphasis has been put on the deployment procedures. In this presentation we will explain how to deploy GeoServer-Cloud in a kubernetes environment. We will showcase the official helm chart that can be used to install it everywhere. GeoServer-Cloud allows per-service auto scaling and server resource dimensioning, hence optimizing each service based on its performance characteristics. We will discuss how to achieve good load balancing based on service metrics. Andrea Borghi https://talks.osgeo.org/foss4g-2022/talk/Q3VRNT/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/f8975917-e882-4cb1-8ede-6ae26766fa05https://video.osgeo.org/w/mX3RZdHaU2jRWndQ7nVp7Hhttps://video.osgeo.org/lazy-static/thumbnails/30cae48e-e2b6-4386-86a5-efe921764f45.jpgFOSS4G 2022 | Developing a topographic data production system based on open sourceThe National Land Survey (NLS) of Finland decided in the fall of 2020 to develop a national topographic data production system based on open source technologies and especially on QGIS client. Since then, many significant steps have been taken for us to be able to implement the MVP of the application for the mappers of the NLS at the start of 2024. Later on, we are planning to replace our digital elevation model production system with similar technologies which would enable us to replace the current mapping system by 2026. In this presentation I will talk about our system's architecture, the tools we are developing and furthermore, some insights that we have learned during this project. The application's architecture is based heavily on Postgres, where we run the main database from which the national topographic maps are made. The operators can access the main database via Job management-plugin and modify the database objects on the client (QGIS). These modifications (inserts, updates, deletes) are saved in the operators' work database, from which they can register these changes to the main database. Our first challenge was to design how more than 150 operators of the NLS are able to work using the same main database. We decided to use the client-web service architecture. The benefit of that is that we can use QGIS as such as it is and we can build all of the functions required for job management into the backend application. The job management plugin communicates with the web service and the conflicts between the different work databases are handled by a separate tool. With the tool, an operator can solve conflicts that are created by another operator editing the same objects. Currently, we are integrating stereo compilation with QGIS, which will enable the operators to measure objects from 3D aerial stereoscopic photos. The next steps are to develop comprehensive tools for quality assurance and to improve basic QGIS tools for selecting, editing and digitizing...https://video.osgeo.org/videos/embed/a9a671b8-5cb1-4974-8388-d0c142a80d19https://video.osgeo.org/w/3PN9mLNRYLQjpWX48cJ7PNhttps://video.osgeo.org/lazy-static/thumbnails/c0fce7e2-f6be-4859-b720-97eb7181380c.jpgFOSS4G 2022 | State of MovingPandas: analyze all those tracks (not just GPS)This talk presents the current state of MovingPandas (http://movingpandas.org) and related movement data analysis tools. MovingPandas has been growing steadily since its first publication in 2018 (with more than 24 contributors to date). Building on GeoPandas and GeoViews, MovingPandas provides movement data analysis tools that support efficient exploratory data analysis through interactive (visual) analysis. Early functionality and demos were focused on dealing with GPS tracking data (including vehicle and animal tracks). This talk presents recent developments towards supporting other track data, including examples from sports tracking (movement in real space, extracted from video footage) and eye or mouse tracking (movement in virtual space). Among many other details, this includes support for local coordinate systems, integration of context beyond geographic base maps, as well as trajectory generalization, segmentation, and distance measures. Finally, we revisit the origins of MovingPandas: the QGIS plugin Trajectools; and review the steps necessary to bring MovingPandas' trajectory analysis tools to QGIS. Anita Graser https://talks.osgeo.org/foss4g-2022/talk/XP3YS3/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/16deabfc-c498-4b6a-8794-18f253ff538chttps://video.osgeo.org/w/nUuLXyD4kx8vFqwU6EZxDGhttps://video.osgeo.org/lazy-static/thumbnails/048000b1-ff7b-465e-84ed-0a0245303526.jpgFOSS4G 2022 | QGIS & PostGIS : Tips & TricksQGIS and PostGIS are now renown as one of the best combination to setup a GIS application. The support of PostGreSQL and PostGIS in QGIS have grown very mature and offers great features to deal with your database stored geographic data. It allows to create powerful business application easily without any advanced programming language skills, only plain SQL and a well configured QGIS. This presentation will showcase some of the interesting features you should be aware of in order to build the perfect GIS user application. I'll explain how to: - Properly configure relations between layers/tables, - Enable transactions (and whether or not you should do it), - Communicate from PostGreSQL to QGIS using notifications, - Deal with triggers using data dependencies, - Store your QGIS project and style information in a PostGIS database, - Output your processing result directly to your database, - Manage your database directly from the browser. These will be some of the key features that will be demonstrated along with a given use case. Julien Cabieces https://talks.osgeo.org/foss4g-2022/talk/ZGCKEE/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/b164523a-b606-40b3-959b-8bf2e7a5394ehttps://video.osgeo.org/w/mLYJeWc8SFMkAFfzbMguvQhttps://video.osgeo.org/lazy-static/thumbnails/ff09fbdd-de7a-476e-9d0d-4f39c6d08f4f.jpgFOSS4G 2022 | "Earth in Colour" with EarthDaily AnalyticsEarthDaily Analytics is building a powerful new constellation that will collect scientific-grade, 5 meter resolution imagery of the planet in a unique combination of 22 spectral bands using 3 different camera types, covering a broad spectral range from visible to thermal wavelengths. The mission will be launched in 2023 and will allow us to see the Earth’s global land mass each day in a wholly new way with more spectral bands, higher revisit, and at a higher resolution than ever before. It will allow us to monitor, detect changes, alert, and predict what is happening anywhere on the planet to help with some of world’s most pressing challenges in agriculture, Environmental, Social and Governance (ESG), and disaster prevention and recovery. This mission has been made possible by a near-perfect convergence of three major technology breakthroughs in the last 10 years: 1) lower cost satellite launch and manufacturing, 2) advancements in computer vision and machine learning to support automation of petabyte scale processing, and 3) cloud compute power and storage necessary to drive the processing and calibration of trillions of pixels each day. Together these three emerging technologies are key to driving next generation geospatial insights, but to bring them together requires a software solution capable of handing the complexity of raw satellite with automation driven by machine learning, and cloud-based Big Geo Data pipelines for cost-effective scale and latency. At EarthDaily Analytics, our software solution has been made possible by leveraging many open source software packages to form the backbone for our satellite processing, calibration and quality services called the EarthPipeline. Together with open source packages and custom machine learning and computer vision approaches, we are working on delivering true scientific satellite image products that can be applied directly to algorithms without the need for very costly (and dreaded) end user data normalizat...https://video.osgeo.org/videos/embed/a83e7589-2fdf-414a-8ead-b416a4bac35ahttps://video.osgeo.org/w/rqKfzT9zqhFXkZT4oSGtNchttps://video.osgeo.org/lazy-static/thumbnails/f0f863dc-ffda-44b1-b3df-e0bac5e91293.jpgFOSS4G 2022 | OGC API Standards: Past, Present, and Towards an Exciting FutureOver the past several decades a significant number of geospatial datasets have been published on the Web. Many of those datasets were published through implementations of classic OGC Web Service standards. As time has gone past, the architecture of web applications has evolved, propelled by new Web and Internet standards. This evolution of web application architecture has led to a revolution in how geospatial datasets are published on the Web. To ensure that the revolution in geospatial data publication has interoperability at its core, the Open Geospatial Consortium (OGC) has developed a series of Web Application Programming Interface (API) standards. The OGC API suite of standards is a family of specifications that have been designed as modular building blocks that spatially enable Web APIs that offer access to spatial data and implementations of geospatial algorithms. These revolutionary APIs make location information more accessible than ever before through the use of the OpenAPI specification for describing interfaces. The use of the OpenAPI specification means that implementations of OGC API Standards can describe themselves to levels of detail previously unachievable through the classic OGC Web Service standards. Such an ability to self-describe is significant because it has enabled software developers from a variety of disciplines to implement OGC API Standards to address the needs of their communities. This presentation will provide an overview of the background, current status, and future plans for the development of OGC API Standards. The presentation will describe plans for the development of resources that improve the ability of developers to implement OGC API Standards. The presentation will also present a selection of case studies of open source software that has been implemented or enhanced during OGC Innovation activities such as testbeds, hackathons, and sprints (including the 2022 Joint Code Sprint organised by OGC, OSGeo and the Apache Softw...https://video.osgeo.org/videos/embed/cde8f8bc-fa9b-44d1-b84e-e8827062d1a3https://video.osgeo.org/w/gqtw7sBe89pULN7TVpfzaghttps://video.osgeo.org/lazy-static/thumbnails/bec3d0d7-57af-4ff5-beef-e9ae4d8cbde6.jpgFOSS4G 2022 | Use of open source tools to estimate global GHG emissions.Hey everyone, my name is Saheel Ahmed. I work as a senior data scientist at Blue Sky Analytics. We are a climate tech startup primarily focused on creating environmental datasets for better monitoring and climate risk assessment for various stakeholders across the globe. To achieve this, we are leveraging the potential of geospatial analytics by creating a catalogue of comprehensive and accurate climate data to drive sustainable decision-making. And all this is only possible because of the open-source tools & knowledge made publicly by the good folks organising the event. Greenhouse gas (GHG) emissions from biomass burning (which includes the combustion of forests, savannas, and croplands) play an important role in regional air quality, global climate change, and human health. In the year 2021, all the continents except Antarctica witnessed major wildfires. These enormous blazes some the size of a small country aren’t just destroying native forests and vulnerable animal species. They’re also releasing billions of tons of greenhouse gases into the atmosphere, potentially accelerating global warming and leading to even more fires. Accurate assessment of biomass burning emissions is paramount to understanding and modelling global climate change. By combining open-source tools with geospatial data, we present a global dataset that estimates the total GHG emissions due to biomass burning globally. We achieved this by linking satellite-based fire observations, aerosol optical depth (AOD), and vegetation type (based on land cover classification) to directly estimate how much carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O) were emitted from each fire. We conducted further analysis of estimated emissions by comparing our estimates with existing datasets from NASA's global fire emissions database and ESA's Copernicus global fire assimilation system. Overall, our estimates agree well against both of these sources with an R2 score of 0.91, 0.71, and MAE score ...https://video.osgeo.org/videos/embed/7ce3e3c1-1fac-4ac3-94b2-6af9df75143dhttps://video.osgeo.org/w/kik2Du9Q8xdBcz5dYsVEyThttps://video.osgeo.org/lazy-static/thumbnails/61e23c38-48ce-48e6-b8c0-66ea5c5d038e.jpgFOSS4G 2022 | State of deegree: What's new in 2022This presentation provides a summary of new features added to deegree in the latest releases of deegree webservices and deegree OGC API together with a glimpse of what we have planned for next year and beyond. Initiated in 2002 the OSGeo project deegree has developed over the last 20 years to an important building block for Spatial Data Infrastructures (SDI). As the implementation of the INSPIRE directive is fully underway it requires stable and mature software solutions based on OGC standards such as GML, WFS and WMS. One of the goals of the deegree project is to provide implementation of those standards. In this talk we will focus on the recent improvements available in deegree webservices and our updated roadmap for full Java 11 support comming with version 3.5. We will show how the support for OGC API - Features Core, part 1 and 2 has been implemented and can be used with existing configurations. Finally we will show the directions for the project and what future developments are currently planned. Torsten Friebe https://talks.osgeo.org/foss4g-2022/talk/7Z9ERN/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/9c49015a-9455-4aaf-bb16-36e12ac723b3https://video.osgeo.org/w/3F54bmL1SS4dhESPpA2K7fhttps://video.osgeo.org/lazy-static/thumbnails/b4d61f86-46f0-4b68-a0ea-1e2ef9cc44c3.jpgFOSS4G 2022 | Open Back-End for Vector Tile Based Web AppsThe Mapping Service at the Center for Urban Research at the City University of New York (CUNY) Graduate Center engages with foundations, government agencies, businesses, nonprofits, and academics to use spatial information and analysis to develop research projects. Our most recent set of web maps focus on the decennial redistricting process in the United States. Redistricting is often a complex and complicated process. Delays in publishing data from the 2020 Census due to COVID-19 shortened the time frame for redrawing legislative lines in many states. Given the often rushed nature of redistricting it was crucial to provide fair district advocates, journalists, and lawmakers with accurate maps and data shortly after the proposed districts became publicly available. In previous projects, we relied on proprietary back-end stacks using ArcGIS, Microsoft SQL, and the .NET framework. These products afforded a viable but inflexible solution to our GIS needs. The online mapping platform for ArcGIS is not as elegant as its open source counterparts, Microsoft SQL did not provide a solution for directly serving vector tiles, and each upgrade of Windows, IIS, and Visual Studio presented unique challenges. Last year we implemented a new back-end stack to connect our spatial databases to our web sites using FOSS solutions: QGIS, PostGres with PostGIS, Mapbox, and Nodejs. The result is a free, fully customizable solution that is easy to update, maintain, and migrate. We are currently using it in about a dozen applications to serve vector tiles and query demographic and other data. With our new workflow we were able to quickly upload dozens of map proposals, calculate metrics to analyze the potential impacts of each one, and present them on our website within hours of the data being made available to us. Will Field https://talks.osgeo.org/foss4g-2022/talk/DCY839/ #foss4g2022 #generaltrack #TransitiontoFOSS4Ghttps://video.osgeo.org/videos/embed/15a6c880-87ce-4afb-b237-1fd7b0fd5edehttps://video.osgeo.org/w/7moXZ6ZEUZ4bkwLAPg5vpphttps://video.osgeo.org/lazy-static/thumbnails/e1d743db-dab4-4d2b-8d0c-dafb862a048b.jpgFOSS4G 2022 | From a national map publication platform to infinity. And beyond, of course.For over a decade, there has been an open source map publication platform in the Netherlands, known as Tailormap (formerly Flamingo). That project is maintained largely by one company, B3Partners. Currently, Tailormap is being overhauled. Nah, not overhauled, I’d say completely rebuild. And this rebuild comes with a new approach on how to distribute this software project, and how to make it accessible to other developers to contribute, to organizations to roll out independently, and to other companies to use in their customer solutions. What we aim for in the long run is an online geospatial platform that is easy to use for all. For now, we publish an easy to install online GIS and mapviewing application, with features like mobile editing capabilities so that it can be used for maintenance purposes as well as for data dissemination. And here, at the FOSS4G in Firenze, we will celebrate this with our international launch presentation (and party in a not yet disclosed bar). We’d like to invite you to join us in this journey. We’re extremely happy to have been able to start this development without outside funding, and we’re looking for partners to grow Tailormap together. We’re currently looking into the OSGeo Community project program, to see if we can join. We’ll be at the B2B meeting as well, but this presentation is where we’ll show the goodies. Erik Meerburg https://talks.osgeo.org/foss4g-2022/talk/TSUFJ8/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/336fdc35-f89d-4140-b054-d55e1c80a5d1https://video.osgeo.org/w/64UfayZFxe2YuBc8s9vcRKhttps://video.osgeo.org/lazy-static/thumbnails/cc24968c-d5cc-4fe0-a6d0-782125f37dd8.jpgFOSS4G 2022 | Are you lost? Get pgRouting to find your waypgRouting not only allows to get routes for any kind of transportation, from 0 wheels to 18 wheeler. A road is closed? Calculate how can traffic be diverted. Don't get a result? Check if your graph is connected. Need to deliver to several clients? Traveling Salesperson problem helps to determine the route. Find out what is planned for version 4.0 that is a work in progress. Learn about the spin off for vehicle routing problems. pgRouting extends the PostGIS / PostgreSQL geospatial database to provide geospatial routing functionality. Advantages of the database routing approach are: - Data and attributes can be modified by many clients, like QGIS through JDBC, ODBC, or directly using Pl/pgSQL. The clients can either be PCs or mobile devices. - Data changes can be reflected instantaneously through the routing engine. - The “cost” parameter can be dynamically calculated through SQL and its value can come from multiple fields or tables. Vicky Vergara Ashish Kumar https://talks.osgeo.org/foss4g-2022/talk/G9SWET/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/29091f0a-b00f-4877-ab79-aba47b18ff59https://video.osgeo.org/w/7hHuybfByGNgi5TYRxEPPghttps://video.osgeo.org/lazy-static/thumbnails/659b92d1-c00c-416d-8665-0cebe6cc052b.jpgFOSS4G 2022 | Processing and publishing big data with GeoServer and Azure in the cloudThe amount of data we have to process and publish keeps growing every day, fortunately, the infrastructure, technologies, and methodologies to handle such streams of data keep improving and maturing. GeoServer is a web service for publishing your geospatial data using industry standards for vector, raster, and mapping. It powers a number of open source projects like GeoNode and geOrchestra and it is widely used throughout the world by organizations to manage and disseminate data at scale. We integrated GeoServer with some well-known big data technologies like Kafka and Databricks, and deployed the systems in Azure cloud, to handle use cases that required near-realtime displaying of the latest received data on a map as well background batch processing of historical data. This presentation will describe the architecture put in place, and the challenges that GeoSolutions had to overcome to publish big data through GeoServer OGC services (WMS, WFS, and WPS), finding the correct balance that maximized ingestion performance and visualization performance. We had to integrate with a streaming processing platform that took care of most of the processing and storing of the data in an Azure data lake that allows GeoServer to efficiently query for the latest available features, respecting all the authorization policies that were put in place. A few custom GeoServer extensions were implemented to handle the authorization complexity, the advanced styling needs, and big data integration needs. Nuno Oliveira https://talks.osgeo.org/foss4g-2022/talk/KZBJ3M/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/32ec4d86-7550-42c8-a3a2-16bf205cce51https://video.osgeo.org/w/vgQC24Ub5fN7DLndQ3YVRmhttps://video.osgeo.org/lazy-static/thumbnails/8300023b-abed-4d30-bba2-6c696444df8c.jpgFOSS4G 2022 | OpenLayers Feature FrenzyA decade ago, OpenLayers was the number one choice for a web mapping library. With the rewrite in 2012 and the rising competition of Leaflet and Mapbox GL JS, there was a phase when the project lost popularity. Today, it has found its niche as a full-featured, flexible, and high-performance geospatial JavaScript library that users can count on for the long haul, especially when their mapping needs get more complex. This talk will provide you with a tour of the latest features in the library, including daring live demonstrations. We will present our recent and ongoing work on adding new features and making the library more fun to work with. Whether you're a developer or decision maker, come to this talk to learn about the current status of OpenLayers. We’ll provide you with a glimpse into the future of the library and leave you motivated to get mapping with OpenLayers. Tim Schaub Andreas Hocevar https://talks.osgeo.org/foss4g-2022/talk/WZRGKK/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/ed0f2436-0e3b-4761-82ad-47b53a43e202https://video.osgeo.org/w/4rGCB2AitJK7qfyhv1gih1https://video.osgeo.org/lazy-static/thumbnails/13359eb0-c221-4bd4-ba20-43530f11face.jpgFOSS4G 2022 | Re3gistry: Your interoperable open source tool for managing and sharing reference…Re3gistry: Your interoperable open source tool for managing and sharing reference codes The Re3gistry is an open source software for creating, managing and sharing reference codes in a consistent way. Released under the European Union Public License (EUPL) v.1.2 (https://github.com/ec-jrc/re3gistry), it is a key component ensuring interoperability in data infrastructures. The Re3gistry supports organizations in managing and updating “reference codes” through unique identifiers. Reference codes can be used for example to define sets of permissible values for a data field or to provide a reference or context for the data being exchanged. Examples are enumerations, controlled vocabularies, taxonomies, thesauri or simply ‘lists of things’. The Re3gistry provides a means to assign identifiers to such items and their labels, definitions and descriptions in different languages. It provides a user-friendly interface where labels and descriptions for reference codes can be easily browsed by humans and retrieved by machines, including the possibility of downloading them in different formats and exploiting the information using a REST API. The European Commission’s Joint Research Centre (JRC) started the development of the Re3gistry in 2014 to satisfy the interoperability requirements set by the INSPIRE Directive. In 2020, considering the high reusability of the tool beyond INSPIRE, the JRC released the code as open source. So far, the development of the Re3gistry has been supported by the European Commission under the interoperability actions ARE3NA and ELISE and, more recently, by the National Land Survey of Finland. In 2021, a second version of the Re3gistry software was released. This version v2.0, complemented by subsequent minor releases, introduced several new features such as a management interface to add and modify the status of items, and the capability to trace the full lifecycle of items following the workflow defined by ISO 19135 standard. The current stable r...https://video.osgeo.org/videos/embed/1be20ccf-2df3-43b3-8dd4-021795d6e07chttps://video.osgeo.org/w/qBUEorGBWWAQQaaEtXhXAVhttps://video.osgeo.org/lazy-static/thumbnails/eff26989-f3d8-4020-bf6e-6a6cdf9b474a.jpgFOSS4G 2022 | GeoServer Feature FrenzyGeoServer is a web service for publishing your geospatial data using industry standards for vector, raster and mapping. It powers a number of open source projects like GeoNode and geOrchestra and it is widely used throughout the world by organizations to manage and disseminate data at scale. What can you do with GeoServer? This visual guide introduces some of the best features of GeoServer, to help you publish geospatial data and make it look great! GeoServer has grown into an amazing, capable and diverse program - attend this presentation for: - A whirl-wind tour of GeoServer and everything it can do today; - A visual guide to some of the best features of GeoServer; - Our favourite tricks we are proud of! New to GeoServer - attend this talk and prioritize what you want to look into first. Expert users - attend this talk and see what tricks and optimizations you have been missing out on. Andrea Aime Jody Garnett https://talks.osgeo.org/foss4g-2022/talk/ULHR8N/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/c75ed055-78b9-4d42-a2f6-74a3ed477875https://video.osgeo.org/w/ixF1EKr1xVuVsuoz8achf3https://video.osgeo.org/lazy-static/thumbnails/4f466dec-2ec6-4ed0-b041-7c68e5996ad4.jpgFOSS4G 2022 | QGIS Feature Frenzy - What's New in the Last Year?QGIS releases three new versions per year and each spring a new long-term release (LTR) is designated. Each version comes with a long list of new features. This rapid development pace can be difficult to keep up with, and many new features go unnoticed. This presentation will give a visual overview of some of the best new features released over the last calendar year. This will be a mixture of important/popular features along with those which are easily overlooked or missed. Each highlighted feature will not simply be described, but will be demonstrated with real data. The version number for each feature will also be provided. This will let you know which new features are included in the LTR. If you want to learn about the current capabilities of QGIS this talk is for you! Potential topics include: Annotation layers * GUI enhancements * New Expressions * Point cloud support * Print layout enhancements * New renderers and symbology improvements * Mesh data algorithms * 3D * Editing Kurt Menke https://talks.osgeo.org/foss4g-2022/talk/WNHTN7/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/8e1774ae-cfb8-4429-a3d2-61e7ea993b56https://video.osgeo.org/w/iJzAS96Mhft5VLSV8QdEXPhttps://video.osgeo.org/lazy-static/thumbnails/8362ddb2-ad06-4107-b7bb-777bbfe918aa.jpgFOSS4G 2022 | OSGeo AGMThe OSGeo Annual General Meeting https://talks.osgeo.org/foss4g-2022/talk/XMJZGY/ #foss4g2022 #generaltrackhttps://video.osgeo.org/videos/embed/8f9d4d90-2358-40c5-86f2-e6f88f9b327dhttps://video.osgeo.org/w/3Nwk5NEe1K4rjQ9X2GKNN6https://video.osgeo.org/lazy-static/thumbnails/515f116e-163d-4f7a-aa8e-9a193b8402a1.jpgFOSS4G 2022 | State of Bridge for QGISGeoCat Bridge for QGIS is a Python plugin that enables users to publish map layers as OGC data services (WM(T)S/WFS/WCS) to GeoServer or MapServer. It can also publish layer metadata to the GeoNetwork spatial catalog (CSW), linking service to metadata and vice versa, so that users can easily bind to a service from a catalog search result or find the relevant metadata for an exposed dataset. Bridge can also export metadata, symbology and geodata to local files, so you can modify them and/or upload them manually. Since its first official release at the FOSS4G in Bucharest (2019), GeoCat has been gradually improving the plugin. One of the most requested and anticipated changes to Bridge for 2022 relates to GeoServer workspace publication. The next upcoming major release involves some major UX changes, which will allow more control over a workspace. For example, users can soon add (or overwrite) single layers to an existing workspace, whereas in older versions all workspace data was removed prior to publication. We would like to take the opportunity to discuss the upcoming release, highlighting this and other new features and improvements. Sander Schaminee https://talks.osgeo.org/foss4g-2022/talk/3R9CQK/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/16b12e81-379f-43b5-b557-e369e6e56781https://video.osgeo.org/w/om7GvYhqf2riY1sMXmazGJhttps://video.osgeo.org/lazy-static/thumbnails/e85b7e01-c77d-4eed-b517-2cf3354db64a.jpgFOSS4G 2022 | 20 Years of QGIS [community]QGIS turned twenty this year. The first lines of code were written in mid-February of 2002 and the first time the code compiled and ran, it could do one thing: Connect to a PostGIS database and draw a vector layer. Quoting Gary Sherman - "The mythical man of QGIS that no one has ever met": This was the humble beginning of one of the most popular open-source GIS applications. GRASS GIS is of course the granddaddy of open source GIS, but the 20th birthday of QGIS is a testament to its longevity and commitment of all those who have made it what it is today. In this talk I'll share a walkthrough of the most game-changing features and events that shaped QGIS and its community in the past 20 years making it one of the top ten most important C++ open-source projects [1] and an overall amazing project to represent :) Happy Birthday QGIS! [1] https://www.phoronix.com/scan.php?page=news_item&px=OpenSSF-Criticality-Score Marco Bernasocchi https://talks.osgeo.org/foss4g-2022/talk/UHRWMX/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/b4f80dd6-a8f4-42c5-84b2-cf01953de726https://video.osgeo.org/w/6RTsdLQJDdwaDpnMyAAzcRhttps://video.osgeo.org/lazy-static/thumbnails/3d8446e4-d0ee-4e7d-9b07-dc44fe389b7a.jpgFOSS4G 2022 | Building a common building's(!) open dataset using FOSS4G, open data and open…Building a common building's(!) open dataset using FOSS4G, open data and open governement. Climate change is here. heating, construction, cooling is estimated to contribute to 30% of the C02 emissions for France. And yet, we don't really have a database of those buildings. We have footprints by the French National Geographic institute, tax raising datasets on cadastral parcels, many derived datasets for energy consumption, performance certificates, but all of them are far away from a usable and centralized reference dataset. The national adress geolocation (BAN) project unlocked the key pivot database between all them. The Scientific and Technical Center for Building (CSTB) a public industrial and commercial company, decided to dedicated efforts to build a permanent reference dataset, and push it as an open database. The full stack is using open source technologies (Pandas / GeoPandas, to PostGIS, Apache Spark, MLflow, QGIS, MapLibre ...), and with massive datasets (21 Millions buildings, ＞400 descriptors). It allows to run analyses and predictions for all the climate change related indicators, such as housing price and energetic performance relation, heat wave impact, solar potential, etc.. As the first versions are now published, the next challenges are : - make the data easier to reuse - Push toward a official common identifier of each building, housing and parcels, through the BatID project and Etalab open government initiatives - Enrich the dataset with new statistics and predictions twice a year - Consolidate its economic rationales to make this viable on the long run This talk will also show cool dataviz and geoviz stuff for geonerds audience :) Régis Haubourg https://talks.osgeo.org/foss4g-2022/talk/WWSCVM/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/2f74d8b3-fdf8-4a0b-ae28-8426b00c4083https://video.osgeo.org/w/tskSzS47omNZnXDN1vgGcShttps://video.osgeo.org/lazy-static/thumbnails/fe2c83dd-ebb3-4ee7-9dc2-0eb0854bd655.jpgFOSS4G 2022 | Speeding up the RapiD map editor with WebGL and PixiJSRapiD is an advanced Open Source map editor for OpenStreetMap built by the MapWithAI team at Meta. RapiD makes it simple to work with openly licensed geodata and AI-detected road, building, and landform features. For years the RapiD editor was based on a SVG rendering engine built with D3.js. As our users map the world in increasing levels of detail, and as more open data sources become available, our rendering tech has struggled to keep up with the massive amounts of data that we’re asking it to display in a browser-based JavaScript application. Our team recently converted this legacy rendering engine to instead use WebGL technology by leveraging the popular Open Source PixiJS game engine. The conversion from SVG to WebGL yielded a considerable performance boost, and the new WebGL-based renderer is up to the task of working with massive world-scale datasets and handling the increasing data density of OpenStreetMap. In this talk we share our progress on bringing new datasets into RapiD, tell the story of how we built a modern map editor on top of an Open Source game engine, and share our roadmap for the future of mapping. Bryan Housel Benjamin Clark https://talks.osgeo.org/foss4g-2022/talk/VSEAKD/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/de545417-2577-4344-94b9-02e4c35f2478https://video.osgeo.org/w/7KC6aFhXL2FHrjRUpPtFQUhttps://video.osgeo.org/lazy-static/thumbnails/74b69721-a27e-4d46-8689-70057a2599b8.jpgFOSS4G 2022 | Advanced QGIS forms into the web with LizmapYou would like many people from your team or crowdsourcing to fill data in your geodatabase. One way to do that is to make appealing, easy to use and well-constructed forms avoiding wrong inputs. Also, you do not want people to give up filling because the form is too long while in the same time you could automatically fill some entries based on others. With QGIS Desktop, it is possible to make great maps but also advanced forms by using expressions to control field visibility, default values, proposed values, constraints and more. It is very powerful but now how to share those forms to anybody whatever their device or operating system? Could it be possible to share a link for people to open and fill those forms in their web browser? Let’s see how you can get most of these features for your forms in web browsers thanks to QGIS Server and Lizmap. Boisteault Nicolas https://talks.osgeo.org/foss4g-2022/talk/VVXS3Q/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/36ae0e04-9e2e-4d00-a895-302b31f75498https://video.osgeo.org/w/fj5ioSbghaikNrqCDTu2fKhttps://video.osgeo.org/lazy-static/thumbnails/2e48a3fe-2fdd-4c04-a443-7d4edac785ee.jpgFOSS4G 2022 | TiTiler: Not just a tile serverDuring the last 2 years we've been working on TiTiler (https://developmentseed.org/titiler/), a dynamic raster tile server. Built on top GDAL/Rasterio, TiTiler is written in python and use FastAPI (https://fastapi.tiangolo.com) framework. TiTiler is an application that let you create raster tiles dynamically from raster datasets (e.g Cloud Optimized GeoTIFF) but also from Spatial Temporal Asset Catalog (STAC) or Mosaic (using MosaicJSON). It is also a set of python modules which can be used independently to create custom services. During this talk we'll explain the concept of dynamic tiling, what is TiTiler (and the libraries powering it), how it works and more important how users can customize and built their own dynamic tile server. We will also present project like TiTiler-PgSTAC (https://github.com/stac-utils/titiler-pgstac) which enables the creation of Mosaic tiles dynamically from a Spatial Temporal Asset Catalog (STAC) database, or eoAPI (https://github.com/developmentseed/eoAPI) which is a full Earth Observation data service combining STAC database, STAC-FastAPI and a TiTiler in one easily deployable project. Vincent Sarago https://talks.osgeo.org/foss4g-2022/talk/TSQK8Z/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/73e5faa0-3ed8-4ca4-9c57-df3ecbaacd2bhttps://video.osgeo.org/w/sAhSsW3Ek3GWbtsn2h7QSRhttps://video.osgeo.org/lazy-static/thumbnails/eabc34db-a7f3-4427-94af-47f80c1e29b0.jpgFOSS4G 2022 | pyotb: a pythonic extension of Orfeo ToolBoxOrfeo ToolBox (OTB) is an open-source project for state-of-the-art remote sensing, made for large-scale image processing. It is written in C++ and a Python interface is available. However, the use of plain OTB in Python requires a lot of code; more than what a Python user is used to! pyotb aims at making the use of Orfeo ToolBox easy in Python. In this talk, discover: - how to run any application of OTB in just one line of code - how to build complex processing chains containing several applications in an intuitive way. - how to interact easily with NumPy and Tensorflow. - some pythonic features made for user convenience. - some functions written to mimic the behavior of some well-known NumPy functions: `pyotb.where`, `pyotb.clip`, `pyotb.all`, `pyotb.any`... and counting! OTB has an amazing pool of applications and can run on all types of computers: from resource limited laptops to high performance clusters. With pyotb, unleash the power of OTB in Python! We will make you love the way you can use OTB in Python. You can find more info on the project on the pyotb repository: https://gitlab.orfeo-toolbox.org/nicolasnn/pyotb Nicolas Narçon https://talks.osgeo.org/foss4g-2022/talk/YK3V9E/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/d7574a36-6924-44bc-8a2c-6f736cc0f115https://video.osgeo.org/w/stmvJCRcAQ5ZSLFQ7EK8k7https://video.osgeo.org/lazy-static/thumbnails/028b3578-fd99-4f17-b838-868cce2e0467.jpgFOSS4G 2022 | TOSCA – A Novel GIS-Toolkit in Support of Sustainable Urban DevelopmentTOSCA, also known as Toolkit for Open and Sustainable City planning and Analysis, was implemented by the Digital City Science group at Hafencity University Hamburg (HCU) as a joint venture with the German Association for International Cooperation (GIZ). The project – which has won the Hamburg Open Science Award in year 2020 –works very closely together with academic and local governments in India and Ecuador in order to develop use cases in the context of urban upgrading, disaster prevention, and participatory planning. The WebGIS application uses modern state-of-the art technologies like Docker, View.js, PyWPS, GrassGIS and Geoserver. The source code of the open source solution is hosted on Git repo. Moreover, user and admin manuals plus several step-by-step video tutorials were uploaded on the Vimeo video portal. In terms of analysis functionalities, TOSCA is equipped with buffer area, time map (service area analysis), query module (filter by categorical and numeric attributes) and volcanic eruption scenario analysis (equivalent with intersect: select features by geolocation). This project has been successfully implemented in India and Ecuador since October 2019. It supports investigations not only in regards to Indian slum upgrading issues, but also volcanic disaster mapping challenges in Ecuador. Further applications of TOSCA in Palestine has been kick-start in May this year. TOSCA can be deployed on multi-touch table or on virtual machine - through cloud hosting, and is designed for usage by non-GIS specialists. It targets diverse user groups ranging from local citizen to experts, the former implying participatory workshops and the later focusing on urban scenarios decision-making processes. TOSCA Git Repo: https://github.com/digitalcityscience/TOSCA Vimeo Tutorial Site: https://vimeo.com/user127753830 In order to promote the TOSCA Toolkit further, we encourage developers co-work with us to further develop on modules of the Toolkit. Juiwen Chang Qasem SAFAR...https://video.osgeo.org/videos/embed/d65f540d-b621-406c-8356-47e58c87a0a8https://video.osgeo.org/w/75z1nrESrFUHhEwzSFhk29https://video.osgeo.org/lazy-static/thumbnails/f0b56372-3333-4e5f-838e-0455c635a8c0.jpgFOSS4G 2022 | ZOO-Project: News about the Open WPS PlatformZOO-Project is a WPS (Web Processing Service) platform which is implemented as an Open Source project and following the OGC standards, it was released under an MIT/X-11 style license and is currently in incubation at OSGeo. It provides a WPS compliant developer-friendly framework to easily create and chain WPS Web services. This presentation gives a brief overview of the platform and summarizes new capabilities and enhancement available in the new version. A brief summary of the Open Source project history with its direct link with FOSS4G will be presented. The new release comes up with a brand new ZOO-Kernel Fast Process Manager and, with the approved standard OGC API - Processes part 1: core. The new functionalities and concepts available in the latest release will be presented and described, also highlight their interests for applications developers and users. Apart from that, various use of OSGeo software, such as GDAL, GEOS, PostGIS, pgRouting, GRASS, OTB, SAGA-GIS, as WPS services through the ZOO-Project will be presented. Then, the ongoing developments and future innovations will be explored. Rajat Shinde Gérald Fenoy https://talks.osgeo.org/foss4g-2022/talk/ZPKH3Y/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/313a25df-716d-4893-8f63-e47f9a0dd65ehttps://video.osgeo.org/w/pjSXnwekgU27QkG9EmiWYyhttps://video.osgeo.org/lazy-static/thumbnails/02775a52-cf66-4bb7-a7e7-31ce8f908d74.jpgFOSS4G 2022 | Enrich styles and enhance styling process with OpenMapTilesVector tile map is now industry standard and general-purpose schema is available on OpenMapTiles project. But if the features that people focus on in your own country are different from the default schema? We developed styles to cover and highlight Japanese authentic geographic attributes such as railways, hot springs, and religious facilities with an improved OpenMapTiles schema. The styles are available on MapTiler Cloud as MIERUNE styles globally. In the process, we developed some useful tools for vector tile styling. One is a style-competing tool that makes it cartographers easy to compare two versions of styles interactively. Another is a kind of style management tool using git that visualizes diff of style.json and takes screenshots automatically. Structured approaches of planning and implementation of vector tile styling are not much shared. In this talk, we will speak about how to enrich the styles for your own country and enhance the styling process for vector tile cartographers. Mitsuha Miyake Yuen Pakhin https://talks.osgeo.org/foss4g-2022/talk/HVUKHK/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/bce4fa9d-f882-43f6-8f6f-d65ced897310https://video.osgeo.org/w/vKFXdyPZmF3CkVYc8enCcEhttps://video.osgeo.org/lazy-static/thumbnails/eaf94cbe-7c11-4b57-aa84-7ef555eadbdf.jpgFOSS4G 2022 | Vision and Challenge of Re:Earth - an open source WebGIS platform using CesiumThe Re:Earth project grew from the idea of, "What would be possible if anyone, anywhere could access the digital Earth's potential?". To make this a reality, we knew Re:Earth needed to be a no-code solution. But more than that, we needed to make sure hardware and OS requirements wouldn't get in the way, which is why Re:Earth is a fully web-based application. _*Re:Earth allows you to manage, edit, compute and visualize a multitude of geographic information including 3D data with no coding required.*_ We knew projects as well as data would need to be shareable so we have both project publishing and data exporting. Publishing a project is easy and gives users the chance to opt-in or out of SEO, change their URL and setup publishing to their own domain. Exporting data is easy and supports many of the most common file formats seen in GIS. It is also the first WebGIS to feature a plug-in system that runs in the browser. Today, we are focused on solving a problem people face in maintaining, organizing, and managing a wide variety of data, by developing Re:Earth into a general-purpose data management system that can handle all types of data, and one that can be integrated with the user's existing systems. Our desire has always been to open Re:Earth to the OSS community, to build a global community around the vision of Re:Earth, and to provide and disseminate the value we create with our contributors to the wider society. The first step to making this happen was Resium, a popular OSS package that allows developers to use Cesium with React. With Resium we have been able to write Re:Earth's codebase with React and Typescript on the front end. As the main backend language we chose Go. By using these modern languages we have kept Re:Earth highly maintainable and scalable and hope that other developers will find contributing to it easy. xu cong https://talks.osgeo.org/foss4g-2022/talk/NWHWED/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/f0f29fe2-9a93-496a-8437-5c3561f005echttps://video.osgeo.org/w/8T11LDBk1qTSGJ7oAQVFNfhttps://video.osgeo.org/lazy-static/thumbnails/169b3e55-e05e-4e2d-92be-e8d4f2690bc6.jpgFOSS4G 2022 | State of MapServer 2022MapServer is one of the founding OSGeo projects, and is used for publishing spatial data and interactive mapping applications to the web [1]. This talk provides an overview of new developments for existing users, and to show the potential of MapServer for those yet to try the software. We'll review migrating to the new MapServer 8.0 release [2], using the new OGC API, highlighting lesser-known features, optimizing performance, and reporting news from the MapServer ecosystem. MapScript [3], a scripting interface to MapServer provided in several languages such as Python, PHP, and C#, will also be covered. This talk will give an overview of current and planned development for MapServer and its related project MapCache, a tile server that speeds up access to map layers [4]. Finally, we'll look at how to become involved in the MapServer community both as a user and as a developer. [1] https://mapserver.org/ [2] https://github.com/mapserver/mapserver/wiki/MapServer-8.0-Release-Plan [3] https://mapserver.org/mapscript/index.html [4] https://mapserver.org/mapcache/ Seth Girvin https://talks.osgeo.org/foss4g-2022/talk/CBVAT9/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/3fcee93b-d70d-4dce-9542-36326d25e9fehttps://video.osgeo.org/w/ov3TvEP41wnAbgeCFLgNTVhttps://video.osgeo.org/lazy-static/thumbnails/cfd76bc1-0a4f-4adf-a436-d174bebd9596.jpgFOSS4G 2022 | Use of FOSS4G at Gojek to automate map error detection at scaleOur digital maps are not always up to date with the real world. New road constructions and road blockages could reduce the accuracy of the map data. In a logistics company like Gojek that serves millions of users per day in South East Asia, the core undertaking revolves around routing and ETAs. Any inaccurate local map data can lead to a direct negative impact on business metrics. So how do we ensure that map inconsistencies are detected and fixed promptly to minimise interference of our services? When manual detection is labor intensive and not scalable to millions of road networks in vast regions, how can we effectively automate this at scale? This talk is a story of how we, at Gojek, built a pipeline that uses bad customer experience as the trigger to identify potentially faulty data in OpenStreetMap. Our solution makes use of noisy GPS traces and Overpass, an open source tool, to automate this detection. This solution enabled us to identify 100s of potential issues per day, categorise them, associate business impact to each map issue and allow our map analysts to fix them seamlessly. Sriram Ravichandran Chia Li Juan https://talks.osgeo.org/foss4g-2022/talk/Z3HJLM/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/b6376654-4076-41bb-a834-7865e03e6733https://video.osgeo.org/w/5mAN3j26fGtxSpKSSR2KSNhttps://video.osgeo.org/lazy-static/thumbnails/6b9ee2ce-f6d0-4158-bbe2-c4f57babe36c.jpgFOSS4G 2022 | yeoda - providing low-level and easy-to-use access to manifold earth observation…yeoda - providing low-level and easy-to-use access to manifold earth observation datasets In recent years, several Python packages (e.g. xarray, rasterio) have evolved around more basic software libraries such as netCDF4 or GDAL for accessing geospatial data. These packages allow to work with all kind of data formats (e.g. GeoTIFF, NetCDF, ZARR) providing the data in array format (NumPy, xarray) and constitute a fundamental part of any scientific analysis or operational task. However, they do not offer full flexibility when working with Earth Observation (EO) datasets. The multidimensional complexity of EO data (i.e. space, time, bands) is often resolved by distributing dimensions across many files and thus not always easy to access. An important step forward to streamline EO data access has been the Open Data Cube (ODC) toolbox, which utilizes predefined dataset configurations and file-based indices stored in a database. With this setup, ODC enables an easy and uniform access to multidimensional geospatial datasets. Still, users are often confronted with a great variety of data formats, and files being distributed over different systems. This can pose a hurdle when working with ODC, especially if one wants to process a new stack of geospatial data, where the extra overhead of a database can stall swift progress. In order to close this gap, the yeoda (''your earth observation data access'') Python software package aims to resolve this shortcoming by offering a similar interface as ODC, but allowing to interact with geospatial data on a lower level. It relies on two other Python software packages developed by TU Wien: geospade (definition of geospatial properties of a dataset, e.g. geometries), and veranda (read/write access to a variety of raster and vector data formats, e.g. GeoTIFF). This modular setup ensures a clear separation of concerns, specifically between geospatial operations and I/O tasks, yielding a homogenized interface independent from the actual ...https://video.osgeo.org/videos/embed/2344df5a-8756-429e-bc9e-a797f4fe4f06https://video.osgeo.org/w/tKZCBGQZoCWyw6vrPgEV4ehttps://video.osgeo.org/lazy-static/thumbnails/632a34db-5a13-47d1-8bdd-5aa8e56bdd2a.jpgFOSS4G 2022 | Building a data analytics library in PythonThe Data Operations Systems and Analytics team at NYC DOT’s primary mission is to support the data analysis and data product needs relating to transportation safety for the Agency. The team’s work producing safety analysis for projects and programs typically involves merging data from a variety of sources with collision data, asset data, and/or program data. The bulk of the analysis is performed in PostgreSQL databases all with a geospatial component. The work necessitates ingesting input data from other databases, csv/excel files, and various geospatial data formats. It is critical that the analysis be documented and repeatable. Moving data around, getting external data into the database, transforming it, geocoding it etc., previously occupied the bulk of the team’s time before, reducing capacity for the actual analysis. Additionally the volume of one-off and exploratory analyses resulted in a cluttered database environment with multiple versions of datasets with unclear lineage and state of completeness. Modeled on the infrastructure as code idea, we began building a python library that would allow us to preserve the entire analysis workflow from data ingestion to analysis and to output generation in a single python file or Jupyter notebook. The library began as a way to reduce the friction and standardize the process of ingesting external data into the various database environments utilized. It has since grown into the primary method to facilitate reproducible data analysis processes that includes the data ingestion, transformation, analysis, and output generation. The library includes basic database connections, and facilitates quick and easy import and export from flat files, geospatial data files, and other databases. It provides both inferred and defined schemas, to allow both quick exploration and more thoroughly defined data pipeline processes. The library includes standardization of column naming, comments, and permissions. There are built in databa...https://video.osgeo.org/videos/embed/e0cb3e13-516f-4274-b148-8b0a998c852fhttps://video.osgeo.org/w/bsyKaf3jPTuUUM62E2pcg3https://video.osgeo.org/lazy-static/thumbnails/19226c0d-d09d-4902-8dd1-72ffa80db757.jpgFOSS4G 2022 | The most accurate cameras to generate map data from street-level imageryMapping is time-consuming and requires a high volume of a workforce when it comes to keep maps up to date periodically. This brings the need of finding alternative approaches to keep maps up to date. Mobile mapping is the process of collecting geospatial data from a mobile vehicle using a 360º camera, laser scanner, GPS/IMU positioning system, and other sensors. Many devices now include a geotag for every photo captured, and GPS accuracy can have major effects on the quality of street-level imagery and derived data. Join us in an exploration of the different accuracy levels of GPS-enabled cameras, where we will take a look at how different devices compare, and what varied levels of GPS accuracy look like both for image location and for data extracted using computer vision and structure from motion. Understanding the differences between devices is an important step in planning street-level imagery capture, as it will align your expectations with the advantages and limitations of the hardware you use. We tested various devices and will share the results of our investigation, with the aim of equipping you to capture street-level imagery with the tools and methods that fit your needs. Christopher Beddow Said Turksever Edoardo Neerhut https://talks.osgeo.org/foss4g-2022/talk/7UAP8S/ #foss4g2022 #generaltrack #OpenDatahttps://video.osgeo.org/videos/embed/54b0e766-5020-41d2-9a69-4498d00c001chttps://video.osgeo.org/w/3fmXzVobsnkFgBDFagj2HThttps://video.osgeo.org/lazy-static/thumbnails/5844ce1c-adab-43df-840e-9e649a01a619.jpgFOSS4G 2022 | Agile Geo-Analytics: Stream processing of raster- and vector data with dask-…Agile Geo-Analytics: Stream processing of raster- and vector data with dask-geomodeling We present _dask-geomodeling_: an open source Python library for stream processing of GIS raster and vector data. The core idea is that data is only processed when required, thereby avoiding unnecessary computations. While setting up a dask-geomodeling computation, there is instant feedback of the result. This results in a fast feedback loop in the (geo) data scientist’s’ work. Big datasets can be processed by parallelizing multiple data queries, both on a single machine or on a distributed system. ### Abstract In geographical information systems (GIS), we often deal with data pipelines to derive map layers from various datasets. For instance, a water depth map is computed by subtracting the digital elevation map (DEM) from a water level map. These procedures are often done using open source products such as PostGIS and QGIS. However, for medium to large datasets (＞ 10 GB) the extent of these analyses are costly due to memory restrictions and computational cost. As a rule, these issues are tackled by manually cutting the dataset into smaller parts. However, this is a tedious and time-consuming task. In case one needs to this regularly, this is not feasible. We present the open source Python library _dask-geomodeling_ [1] to solve this issue. Instead of a script, dask-geomodeling requires a so-called “graph”, which is the definition of all operations that are required to compute the derived dataset. This graph is generated by plain Python code, for instance: ``` plus_one = RasterFileSource('path/to/tiff') + 1 ``` Note that these operations are lazy: there is no actual computation done and therefore the above line executes fast. Only when actual data is requested: ``` plus_one.get_data( bbox=(155000, 463000, 156000, 464000), projection='epsg:28992', width=1000, height=1000 ) ``` An array containing the data is computed. No need to load the whole TIFF-file in ...https://video.osgeo.org/videos/embed/12339b2c-7fd2-490a-8d5a-d42821ed5941https://video.osgeo.org/w/oKZTJhRRnvcWer8Tuuts9mhttps://video.osgeo.org/lazy-static/thumbnails/b29ec0cb-8092-4aa5-b452-b8cafd78775b.jpgFOSS4G 2022 | Fast rendering from vector tiles in deck.glThe shift to using vector rendering has enabled maps to take a leap forward compared to using raster data. It is now possible to offer a much richer experience by performing styling, processing and filtering directly in the client. Coupled with tiled rendering, it is now feasible to work with huge datasets directly in the web browser. This presentation will look at how applications can be built using the open source deck.gl library, with a focus on displaying vector tilesets, styling and filtering data on the client, with acceleration provided by the GPU. We will look at how deck.gl elegantly works with vector tiles and show how maps and visualisations can be styled using a few lines of code. We will also explore tools provided by the CARTO platform, which bring these features to those without programming experience, via a web-app. A brand new feature of deck.gl will be presented: the MaskExtension is a powerful tool that allows one dataset to act as a geospatial mask for another. For example this can be used to let the user select features on a map using a lasso tool, or to select map features based on a geospatial bound. All at 60fps on the client. Felix Palmer https://talks.osgeo.org/foss4g-2022/talk/8KUJXV/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/b84db5b3-75ee-41a2-a4cb-b2f7cccbb844https://video.osgeo.org/w/bP4sbS369aSJ6FTPE5KKFJhttps://video.osgeo.org/lazy-static/thumbnails/9a7ce649-0183-49bd-93dc-18cce15d0d4b.jpgFOSS4G 2022 | FunctionalScope - Interactive real-time simulation tool for neighborhood planningThe FunctionalScope software builds on the concept of the CityScope, developed by the MIT Media Lab City Science Group. The FunctionalScope supports urban planners in the functional planning phase of new neighborhoods, the phase in which a competition design proposal is refined in preparation for creating a binding land use plan (Bebauungsplan).  The tool offers a 3D view of the new urban design, vector(ized) data of the architectural designs, embedded into a MapLibre based application in the browser. Several near-to-realtime APIs offer the opportunity to evaluate a neighborhood’s design performance in terms of pedestrian flows, wind-comfort and traffic noise. Each simulation allows the user to set custom scenario criteria to enable to, for example, assess different policy and design strategies for the neighborhood such as pedestrian access to private land, speed limits on city streets, or simulate wind-comfort in for various wind conditions. In addition to the web-interface for detailed planning stages, we have developed a tangible table, which allows users to iteratively generate new spatial configurations using 3D-printed buildings. Simulations are run for the designs created on the table, too. The entire stack is built on open-source software. We have used this tool in cooperation with the City of Hamburg (HafenCity GmbH) during the planning process of a new waterfront-neighborhood, Grasbrook. The FunctionalScope is designed to in a generic manner and twill be used in the planning of at least one new neighborhood-scale urban development project in Hamburg. This talk will present the tech stack behind the tool: starting from the translation of architectural into geospatial data (geojson), covering the 3D neighborhood visualization in MapLibre and presenting our open-source near-to-realtime simulation APIs. Moreover, the technology behind the tangible planning table, based on an infrared camera, ArUco markers and Unity will be explained. The talk concludes...https://video.osgeo.org/videos/embed/578d7889-fa9d-4584-927f-cac67f445b04https://video.osgeo.org/w/abvhQuvXcmG8tBDaSuRH7Rhttps://video.osgeo.org/lazy-static/thumbnails/4d590d9f-963d-4ba2-97ae-4d6ea3c647e6.jpgFOSS4G 2022 | Geo-Infographics created dynamically from PostGIS using ST_AsSVG## The Problem Let's assume you have an attribute-focused table, but you would still like to see a thumbnail of the associated geometry. Or more generally: How to dynamically render polygon geometries in a HTML page without any mapping library. *Enter ST_AsSVG (PostGIS function)!* ## Context Last year I showed how we display geo data in our webapps using vector tiles (ST_AsMVT) (https://www.youtube.com/watch?v=s_dWBOiuFiY&amp;t=139s). This year I will explain how we apply ST_AsSVG of PostGIS on database records to *create beautiful geo-infographics* in pure HTML. The result is a geo-visualization similar to this one: Comparison maps of Australian Cities (Size, Population) (https://imgur.com/OQClpbc). The trickiest part will be the sizing of the SVG objects (viewport vs. viewBox (https://webdesign.tutsplus.com/tutorials/svg-viewport-and-viewbox-for-beginners--cms-30844)). ## Content The talk will contain some theory on SVG. It will then show basic setups for FastAPI, SQLModel, Jinja2 and, of course, PostGIS. All code will be made available via GitHub. ## Aim After the talk you will master sizing of SVG and be capable of creating your own dynamic geo-infographics directly from data stored in your PostGIS database. Stefan Brand https://talks.osgeo.org/foss4g-2022/talk/NBAABN/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/4a59bc85-a7ec-4c39-9be9-3384e45f5eb9https://video.osgeo.org/w/idNe6MiifZSDxnsKD5WWfwhttps://video.osgeo.org/lazy-static/thumbnails/f4dad815-3837-49e9-8f24-b68b70b85b0a.jpgFOSS4G 2022 | Sharing EO data with farmers and herders in the West African Sahel: Lessons from the…Sharing EO data with farmers and herders in the West African Sahel: Lessons from the GARBAL program Farmers and herders in the West African Sahel are critically vulnerable to climate shocks and need access to climate information to secure their livelihoods. Herders use data on pasture and water availability to move their livestock and farmers need weather predictions to plan their planting. While satellite imagery has made much of this information readily accessible to the spatial community, few channels exist to transmit this information to herding communities. As a result, climate data has become more powerful than ever before, yet mostly inaccessible to those who depend on this information for their livelihoods. This talk goes over the lessons of a programme that seeks to bridge this gap. GARBAL is a call center that uses Copernicus Earth Observation imagery and field data to provide farmers & herders with information on pasture, water and markets in Mali, Niger and Burkina Faso. GARBAL was first developed in 2015 and this talk will provide lessons from several years of practice. The GARBAL interface is built on mapserver and uses automated scripts to download and treat imagery from Sentinel 2 and Meteosat which then display information on pasture conditions and water availability. Field data is routed through a network of local data collectors who provide weekly updates on livestock conditions and market prices. In addition to an interactive map, the interface provides user-friendly textual outputs that summarize all the layers for any area of interest on the map, which allows call center agents to quickly provide data to callers. The talk will share lessons from the technical and programmatic aspects of the project. The technical side will go over the architecture of the data treatment, demo the interface, talk about successes and failures and show how you can play with the data yourself. The programmatic side focuses more on how the user needs evolved o...https://video.osgeo.org/videos/embed/8b74c528-f1ec-46b4-af42-a25f7ebe4e72https://video.osgeo.org/w/bAah1PGZPDLHdtNceFT95xhttps://video.osgeo.org/lazy-static/thumbnails/43f158e7-aa8b-45de-b5f3-acd6ff52af5d.jpgFOSS4G 2022 | Publishing INSPIRE datasets in GeoServer made easy with Smart Data Loader and…Publishing INSPIRE datasets in GeoServer made easy with Smart Data Loader and Features Templating GeoServer is a well-established multiplatform, open-source geospatial server providing a variety of OGC services, including WMS (view services), WFS and WCS (download services) as well as WPS (spatial data processing services). Among the open-source GIS web servers, GeoServer is well known for the ease of setup, the web console helping the administrator to configure data and services, the variety of OGC services available out of the box, as well as the rich set of data sources that it can connect to (open source, such as PostGIS as well as proprietaries, such as ArcSDE, Oracle or ECW rasters). GeoServer also provides several OGC APIs, including the OGC API - Features which recently attracted the interest of the INSPIRE community. As far as the INSPIRE scenario is concerned GeoServer has extensive support for implementing view and download services thanks to its core capabilities but also to a number of free and open-source extensions; undoubtedly the most well-known (and dreaded) extension is App-Schema which can be used to publish complex data models (with nested properties and multiple-cardinality relationships) and implement sophisticated download services for vector data. Based on the feedback of App-Schema users collected over the years, a new generation of open-source mapping extensions have been implemented in GeoServer: Smart Data Loader and Features Templating, these extensions are built on top of App-Schema and ease the mapping of the data models by allowing us to act directly on the domain model and target output schema using a what you see is what you get approach. This presentation will introduce the new GeoServer Smart Data Loader and Features Templating extensions, covering in detail ongoing and planned work on GeoServer. We will also provide an overview about how those extensions are serving as a foundation for new approaches to publishing complex ...https://video.osgeo.org/videos/embed/55c06431-b889-41f8-a960-cb94f674656fhttps://video.osgeo.org/w/dBsqKHg13ecedcUZu8uhFZhttps://video.osgeo.org/lazy-static/thumbnails/bcb198b1-5bf4-4228-a376-7d126c8b2e94.jpgFOSS4G 2022 | Tips for parallelization in GRASS GIS in the context of land change modelingAlthough GRASS GIS has been used for big data processing for a while now, you may think that some esoteric knowledge is needed to take full advantage of its computational power. The purpose of this talk is to demonstrate simple ways to parallelize your computations in GRASS GIS, that are applicable whether you are working on your laptop or HPC. I will give an overview of the state of parallelization of individual tools, show benchmarks, and introduce you to other GRASS GIS parallelization tricks. I will use examples relevant to land change modeling and share our experience with simulating urban growth at 30m pixel across the contiguous United States (16 billion cells) using FUTURES simulation implemented in r.futures addon. This talk is for all levels of expertise, although basic Python or GRASS GIS knowledge will be advantageous. GRASS GIS is a well established, all-in-one geospatial number cruncher with Python interface, command line, and GUI, with new major version 8.0 released in spring 2022. FUTURES is an open source urban growth model specifically designed to capture the spatial structure of development. It can accommodate the input of a variety of datasets with different spatial extents and can be coupled to other models. FUTURES is implemented in r.futures GRASS GIS addon. Anna Petrasova Vaclav Petras https://talks.osgeo.org/foss4g-2022/talk/LXQJVU/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/6620fb61-77b5-45bf-b8d7-64636a6835dfhttps://video.osgeo.org/w/ifWb6MqqUuqG8mh9re8Hm3https://video.osgeo.org/lazy-static/thumbnails/2a72726d-19ad-4bb6-aa68-792053ce5b38.jpgFOSS4G 2022 | QGIS Data Versioning with KartMaybe you've heard of Kart (https://kartproject.org), the great new geodata versioning tool from the team at Koordinates? But did you know that Kart also has a QGIS plugin so you can do _real_ data versioning without needing to leave QGIS? In just 5 minutes we'll demonstrate how to import data into a new Kart repository, make and review some changes, merge a branch, and push everything to a remote server. All from QGIS! — We’re drowning in data, but the geospatial world lags badly behind in versioning tools compared to our software counterparts. Kart (https://kartproject.org) is solving this with a practical open tool for versioning datasets, enabling you to work more efficiently and collaborate better. Kart allows you to quickly and easily manage history, branches, data schemas, and synchronisation for large & small datasets between different working copy formats, operating systems, and software ecosystems. Modern version control unlocks efficient collaboration, both within teams and across organisations meaning everyone stays on the same page, you can review and trace changes easily: ultimately using your time more efficiently. Robert Coup https://talks.osgeo.org/foss4g-2022/talk/W8AY8A/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/8bc127ef-5158-45cb-ad4c-4121c78c60d6https://video.osgeo.org/w/581BcRQ3K15XNzeB3mZJmVhttps://video.osgeo.org/lazy-static/thumbnails/a6edd6dd-3ba4-490f-815d-dd470a131a12.jpgFOSS4G 2022 | Matico a new federated FOSS platform for spatial analysis, data management,…Matico a new federated FOSS platform for spatial analysis, data management, visualization, and app building Geospatial data and analysis is more central than ever to data science, research, and policy analyses. This is especially evident in the explosion of tools, both open source and proprietary that have been developed over the past 5 years to help users manage and gather insights from their data. However many of these powerful tools, like geopandas (analysis and modeling) and deck.gl (visualization)— are technically inaccessible to analysts and researchers without the available time or skills for advanced coding. A number of commercial ventures (Carto, ESRI etc) attempt to overcome this limitation by bringing these tools together as part of polished, graphical user interface driven platforms. While these platforms offer ease of use, they raise concerns about longevity, data ownership, and academic support. Matico is a new free and open-source platform we are developing at the Spatial Data Science center that seeks to fill the gap between open but technically focused tools and commercial platforms. Consisting of a suite of interoperable components, Matico enables organizations and individuals to manage and visualize their geospatial data while easily maintaining their own infrastructure. A backend server allows users to easily load, clean, analyze, and distribute data through APIs, queries, and in-browser data editing tools while a powerful app builder allows users to develop their own rich applications that target diverse audiences. This talk will demonstrate the current features of Matico, our future roadmap , and demonstrate relevant use cases. Matico is now and will forever be open through a permissive MIT open-source license. Learn more at https://matico.app/ Stuart Lynn Dylan Halpern https://talks.osgeo.org/foss4g-2022/talk/ALBXPD/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/215f2295-4e10-4edc-b094-f0ef7a4a9c4dhttps://video.osgeo.org/w/uYbG4pfBPYoBd5JTovnjeuhttps://video.osgeo.org/lazy-static/thumbnails/3958a610-2e1a-436f-9582-b817ac6dd13f.jpgFOSS4G 2022 | Analysis Ready (Meta)DataThe term Analysis Ready Data started as a way to describe a Landsat product that would efficiently allow time-series based analysis by providing a consistent, grid and pixel-aligned product corrected to surface-based measurements. Since then it has come to mean a wide range of things, but without a clear set of standards on how to characterize ARD there is little to no interoperability among datasets that call themselves ARD. The Analysis Ready Metadata initiative uses the SpatioTemporal Asset Catalog (STAC) spec as the vehicle for describing well-characterized data. This goes beyond the basic geospatial and temporal characteristics captured in the core STAC spec and into detail about the processing level of the data, corrections that have been applied, as well as spatial and measurement uncertainties. Having well-characterized data through it’s STAC metadata enables discovery of usable data, automated processing using interoperable workflows, and tracking of data provenance of derived products. The CEOS ARD (previously CARD4L) specifications require certain metadata and processing to be done for it to be compliant and can use this STAC metadata to automatically assess the potential for a dataset to be compliant with the needed requirements. This talk will cover elements of STAC, ARD, and the CARD4L family product specifications. Matthew Hanson https://talks.osgeo.org/foss4g-2022/talk/YPHAZB/ #foss4g2022 #generaltrack #OpenDatahttps://video.osgeo.org/videos/embed/ea981f38-8f55-4283-9c53-ba7791f6fb2ehttps://video.osgeo.org/w/6Dcv2A2gmXN762Q9Hwtmohhttps://video.osgeo.org/lazy-static/thumbnails/99bf9f8e-516d-4308-85b0-dc716580cd23.jpgFOSS4G 2022 | Baremaps studio: dynamic vector tiles map renderingBaremaps is a blazing fast vector tile server which makes your life easier regarding the publication of OSM data: import, generation and cloud storage. But Baremaps also shines and differentiates from solutions like pg_tileserv in the way you can customize your tileset and merge custom datasets. Based on this advantage, we turn Baremaps out to be a vector tiles studio api, allowing the user to easily customize the content of the vector tiles. We adopted the OGC api specification for tileset, layers and styles. Baremaps offers various entry points to manage the datasets and serve them as vector tiles. As an exemple, you can dynamically import different kinds of data sources (geojson, SHP, database) to the server which will expose them as datasets, then you can use any kind of dataset within the same tileset. You can also bring value to your data by doing aggregations (spatial, attribute, hexbin) or computation. It leverages the power of postgis functions and vector tiles specification into one solution. You can attach a style for your dataset and baremaps will serve both Mapbox style file and Vector tiles stream to render the map the way you expect. To illustrate this concept, we will showcase a studio UI which literally provides a tool to quickly create valuable maps and publish them to the web. Baremaps Studio is the solution to handle dynamic rendering and styling of your vector datas. Florent Gravin https://talks.osgeo.org/foss4g-2022/talk/9YQXW7/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/2daf4cda-647c-4326-b2dc-9b9d35e3b194https://video.osgeo.org/w/1XpGing1dhWA4ZAHGgmPwrhttps://video.osgeo.org/lazy-static/thumbnails/d8a18ef5-2f1b-4f36-a850-fa744ec047f9.jpgFOSS4G 2022 | Elevation data support in QGIS: 3D, profiles, point clouds and more!For many years QGIS has been focused on 2D spatial data and support for 3D data was very limited. This has changed in the last couple of years and QGIS is getting a full suite of tools to work with 3D data. QGIS development team has been actively working on better support for data with elevation - such as point clouds, raster digital elevation models, 3D vectors or meshes. This has been possible mainly thanks to the successful crowdfunding campaign run in autumn 2021: https://www.lutraconsulting.co.uk/crowdfunding/elevation-pointcloud-enhancements-qgis/ In this talk, we will show outcomes of these development efforts including: - a brand new profile tool for detailed inspection of elevation data - new 2D/3D visualization options for data - great improvements to the usability of 3D map views - support for Cloud Optimized Point Cloud (COPC) format We will also discuss the plans for future releases and how QGIS can even better fit requirements of users with the ever increasing supply of 3D data. Martin Dobias https://talks.osgeo.org/foss4g-2022/talk/VUECWC/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/07bc8282-43f4-4503-8bcc-bfb0ae35c4d1https://video.osgeo.org/w/aYc1zfsX4qhjnAuQYJRaN9https://video.osgeo.org/lazy-static/thumbnails/c8b83d33-03af-4123-b0cc-f777b174ed8f.jpgFOSS4G 2022 | New OS: @vcmap/coreIn the current web GIS ecosystem, 3D is nothing new. It is currently fairly simple to create a 3D web application for rendering geospatial data using open source software, the same can be said for 2D GIS. But in some use cases, you do not wish to have to decide between one or the other. Enter @vcmap/core, a new OS project developed by virtualcitySYSTEMS GmbH of Berlin. With a number of high level abstractions, this slim open source library allows you to create web applications which are able to represent the same data in 2D, 3D and even oblique imagery. By abstracting layers, maps, interactions and styling, your data becomes renderer agnostic. Additionally, a parameterized approach to 3D allows you to easily create cuboid 3D representations from simple 2D representations. A feature which has proven useful in urban planning scenarios. Furthermore, the @vcmap/core comes with a powerful serialization mechanism. All runtime objects can be serialized and stored using JSON. This way, you can easily develop a web gis framework which allows a quick deployment of multiple applications which only differ in data. And this is not all, the @vcmap/core is still not finished, with geometry editors on the roadmap and a further open source project, the @vcmap/ui to follow this year. The @vcmap/ui is an accompanying UI which integrates smoothly with the @vcmap/core and provides a powerful plugin API. This plugin API allows for fast development of custom tools with which to enhance, analyze and use your geospatial data without the need to fully implement an entire web GIS. Ben Kuster https://talks.osgeo.org/foss4g-2022/talk/LZYESJ/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/50baaf23-ecb0-46bc-9216-593cbfeae000https://video.osgeo.org/w/3CsRdKmX9KFyVh1o9ZpnXqhttps://video.osgeo.org/lazy-static/thumbnails/89aa7ffa-7134-4904-8ccd-cd5f96c043dd.jpgFOSS4G 2022 | Open Data in OpenStreetMap’s RapiD EditorThe MapWithAI RapiD editor for OpenStreetMap offers a variety of open data to improve OpenStreetMap. This web-based map editor presents the user with various sources of open data to validate and add to OpenStreetMap, including MapWithAI roads, Microsoft buildings, and various open datasets shared via Esri. In addition to these past data offerings, the user can now validate and add sidewalks and crosswalks derived from both Mapillary street-level imagery, as well as derived from various organizations who provide footway open data. Finally, Mapillary point data derived from imagery can also now be verified and directly converted into map data, thanks to a more efficient and rapid workflow. We will explore all that open data available in the RapiD editor, with a specific focus on how footways are generated from Mapillary, validated from open datasets, conflated against existing OpenStreetMap data, and presented to the user for improved maps of pedestrian walkability. Christopher Beddow https://talks.osgeo.org/foss4g-2022/talk/DUB7EE/ #foss4g2022 #generaltrack #OpenDatahttps://video.osgeo.org/videos/embed/1549995d-d659-4a38-b762-98d05469732ahttps://video.osgeo.org/w/adSeFxfhwYkz8rqneNYh7Ghttps://video.osgeo.org/lazy-static/thumbnails/9a302ffd-fb10-423b-bb89-402cfedeb4bd.jpgFOSS4G 2022 | QGIS and Community: The QGIS Open DayThe QGIS Open Day are organised on the principle of self-organisation and community participation. The monthly sessions are open to anyone in the opensource community and cover various topics from presenting new developments and releases, tutorial style work-flows and interactive open sessions. In the year the channel has been active, QOD has generated over 50 videos obtained 4000 subscribers and on average QOD channel receives Approximately 5000 views each month. Most QOD viewers are from the United States, Germany, India, France and the UK and 94% of QOD viewers are male. The most popular video on the channel is “A geological map work-flow in QGIS with Chris Lambert with” 5277 views. Looking forward, the QOD channel aims to be the official platform to show the functionality of the new QGIS releases, plugins, work-flows, and opensource GIS platforms. The channel aims to increase support, viewership and participation from a wider, more diverse audience and encourage different regions to contribute. Join the QOD community and let’s learn from each other. Amy Burness https://talks.osgeo.org/foss4g-2022/talk/WL9KWS/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/4aae21d4-7332-480c-a326-6a7d03eae8c4https://video.osgeo.org/w/hnuxJ7e8aKHmmZ5X54pRy9https://video.osgeo.org/lazy-static/thumbnails/f7a570a7-1ba7-4203-b394-06559fefb224.jpgFOSS4G 2022 | Mapserver layer handling, production, and management in larger scale environmentManaging hundreds of layers from different sources in a Mapserver production is extensive work. Keeping them up to date, scalable and in constant deployment takes time and effort. Not to mention monitoring all of it. By combining a configuration management tool (open-source Progress Chef in our case) and Mapserver, we have a continues deployment cycle. Mapserver’s map file is divided into pieces that Chef puts together. All the layer files are separate entities which are easily manageable and changeable. Different map files can be produced combining different layers to keep map files smaller but still all in one place for management. It also enables to switch off or turn on layers easily. This also gives the benefit of keeping development environment different from production. Through MapProxy seeding process we also provided our thousands of users with their base map services and serve them WMS, WFS and our own produced Vectortiles. All of it is also under constants monitoring and the logs are processed to produce simple statistics to see which applications are requesting, which layers are being accessed the most. We have built a notification system that notifies us immediately through hooks if our services are down or there are errors in any of the Mapserver layers requests. It brings us back to the point of how to make your Mapserver layer handling, production, and management smoother and more straightforward. Let us share our insight! Sander Pukk Kaido Irdt https://talks.osgeo.org/foss4g-2022/talk/CXXKVU/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/84926e31-8c2a-44bf-932b-71cf0c40ed34https://video.osgeo.org/w/dUrdZCc5AYjPUeoDCM7GVMhttps://video.osgeo.org/lazy-static/thumbnails/e5f07923-d274-41d8-bf80-d5961d843142.jpgFOSS4G 2022 | Not too big, not too small: open source geospatial units that are just rightPublicly available data tends to be spatially aggregated to administrative units, limiting the feasibility of nuanced analyses that reflect the natural state of communities and provide actionable insights for a wide range of stakeholders. While higher resolution data is generally available within government agencies, access for external researchers is limited due to well-established privacy concerns. Inspired by our own use case of developing a regional quality of life metric for neighborhoods in Denmark, our team at Aalborg University’s Department of the Built Environment, in collaboration with data.org’s Growth and Recovery Challenge, and Data Clinic, set out to develop and open source not only foundational granular spatial units and data that adhere to privacy laws, but also the accompanying methodology that has the potential for broad applicability in other countries. In this presentation, we will demonstrate the methodology’s generalizability, particularly across common European land use and geographical features, and show how the resulting high-resolution shape files and community data can become crucial tools for government decision-makers, community organizations, and researchers in their efforts to increase transparency and engage in practical, actionable research. Focused initially on our Denmark use case, we algorithmically create spatial units with minimum household and population counts from country-wide hectare cell level data. Our approach uses data on road networks and administrative boundaries to create socially meaningful component polygons. This is achieved by developing tools based on already existing open source packages available in R and Python. The hectare cells are then mapped onto the polygons and clustered using the max-p regionalization algorithm with constraints on the minimum population and household counts to arrive at the final set of spatial units. To improve the accessibility of this data to not just researchers but also admin...https://video.osgeo.org/videos/embed/687fe283-73b3-4e48-8b1d-43f596703c4fhttps://video.osgeo.org/w/iL29VG8kqutp5B2UtSfuNGhttps://video.osgeo.org/lazy-static/thumbnails/c15a6808-9405-467e-9188-b676aa54bf11.jpgFOSS4G 2022 | Dataviz in QGIS and on the web#### QGIS and Dataviz Creating plots is out of the main scopes of QGIS but thanks to the simple Python API, it is easy enough to create additional scripts and plugins. The DataPlotly plugin has been developed for QGIS(the first release was created in 2017 while nowadays the plugin has been downloaded more than 100,000 times). It's today a well maintained Python plugin with a growing community of developers, users and testers. DataPlotly allows creating D3 like plots from spatial data. It is build on top of Plotly.com, a JavaScript library which offers an easy API for many languages such as Python, R, Matlab etc. The plots are completely interactive so that plot elements are directly linked with map items; therefore the user is able to query map items from the main plot canvas. Thanks to a crowdfunding campaign, the functionalities of DataPlotly were extended: a complete refactoring of the code, more plots but especially the creation of plots in the layout composer, also for atlas layouts. The plugin is also compatible for QGIS server. Lizmap Web Client is an opensource server application to publish QGIS project on the web without any coding skills needed. It’s using QGIS Server in the backend so users have the same rendering between their QGIS Desktop and the web version of their project. Thanks to the DataPlotLy plugin installed on QGIS Server and to the Lizmap application, it allows users to print PDF with plots from in their web-browser. Matteo Ghetta Etienne Trimaille https://talks.osgeo.org/foss4g-2022/talk/9DWW3N/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/8fd0cb51-6735-41f4-b3ec-1f245be5ec34https://video.osgeo.org/w/hLQZcvJwPzMfo3bV1oigwnhttps://video.osgeo.org/lazy-static/thumbnails/b1d573e0-780a-434b-8720-c313ae41e8af.jpgFOSS4G 2022 | Data integrity risks when using simple featureWhen you care about data integrity of spatial data you need to know about the limitations/weaknesses of using simple feature datatype in your database. For instance https://land.copernicus.eu/pan-european/corine-land-cover/clc2018 contains 2,377,772 simple features among which we find 852 overlaps and 1420 invalid polygons. For this test I used “ESRI FGDB” file and gdal for import to postgis. We find such minor overlaps and gaps quite often, which might not be visible for the human eye. The problem here is that it covers up for real errors and makes difficult to enforce database integrity constraints for this. Close parallel lines also seems to cause Topology Exception in many spatial libraries. A core problem with simple features is that they don't contain information about the relation they have with neighbor features, so integrity of such relations is hard to constraint. Another problem is mixing of old and new data in the payload from the client. This makes it hard and expensive to create clients, because you will need a full stack of spatial libraries and maybe a complete locked exact snapshot of your database on the client side. Another thing is that a common line may differ from client to client depending on spatial lib, snapTo usage, tolerance values and transport formats. In 2022 many system are depending on live updates also for spatial data. So it’s big advantage to be able to provide a simple and “secure” API’s with fast server side integrity constraints checks that can be used from a standard web browser. When we have this checks on server side we will secure the equal rules across different clients. Is there alternatives that can secure data integrity in a better way? Yes, for instance Postgis Topology. The big difference is that Postgis Topology has more open structure that is realized by using standard database relational features. This lower the complexity of the client and secures data integrity. In the talk “Use Postgis Topology to secure...https://video.osgeo.org/videos/embed/87d5221c-7062-42b9-9f1b-032652348a45https://video.osgeo.org/w/tzvoCrf24dgfKSpfyKdhNFhttps://video.osgeo.org/lazy-static/thumbnails/345488e0-b69b-4292-b6d3-725d0f23af5e.jpgFOSS4G 2022 | Kart: an introduction to practical data versioning for rasters, vectors, tables, and…Kart: an introduction to practical data versioning for rasters, vectors, tables, and point clouds We’re drowning in data, but the geospatial world lags badly behind in versioning tools compared to our software counterparts. Kart (https://kartproject.org) is solving this with a practical open tool for versioning datasets, enabling you to work more efficiently and collaborate better. We will introduce you to Kart and demonstrate some of the key features, including our QGIS plugin. And we'll highlight what’s coming next on our roadmap. Since 2021 we have added support for Raster and Point Cloud datasets, and we'll be showing how we build on Kart's versioning and spatial filtering techniques to efficiently navigate, access, and use large and small datasets. Kart allows you to quickly and easily manage history, branches, data schemas, and synchronisation for large & small datasets between different working copy formats, operating systems, and software ecosystems. Modern version control unlocks efficient collaboration, both within teams and across organisations meaning everyone stays on the same page, you can review and trace changes easily: ultimately using your time more efficiently. Robert Coup https://talks.osgeo.org/foss4g-2022/talk/8FEBED/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/df54668a-4cea-40d4-a25a-6208e9c3e563https://video.osgeo.org/w/pukJxQNKSdwyR8PPDwU4knhttps://video.osgeo.org/lazy-static/thumbnails/58dce615-8d52-461e-96a6-16e0a72d3ad3.jpgFOSS4G 2022 | MapMint: The service-oriented platformMapMint is a comprehensive task manager for publishing web mapping applications. It is a robust open source geospatial platform allowing the user to organize, edit, process and publish spatial data to the Internet. MapMint includes a complete administration tool for MapServer and simple user interfaces to create mapfiles visually. MapMint is based on the extensive use of OGC standards and automates WMS, WFS, WMT-S, and WPS. Most of the MapMint core functions are run through WPS requests which are calling general or geospatial web services: vector and raster operations, mapfiles creation, spatial analysis and queries and much more. MapMint server-side is built on top of ZOO-Project, MapServer and GDAL and its numerous WPS services are written in C, Python and JavaScript. MapMint client-side is based on OpenLayers and Jquery and provides user-friendly tools to create, publish and view maps. MapMint architecture and main features will be introduced in this presentation, and its modules (dashboard, distiller, manager, and publisher) will be described with an emphasis on the OGC standards and OSGeo software they are using. Some short but relevant case studies and examples will finally illustrate some of the key MapMint functionalities. Rajat Shinde Gérald Fenoy https://talks.osgeo.org/foss4g-2022/talk/GUNEVQ/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/be372d0e-a7cf-4082-a36e-016fe977082fhttps://video.osgeo.org/w/n5xPzmTGiPZ2cccUhcMVb1https://video.osgeo.org/lazy-static/thumbnails/3cd0fa29-2e05-4862-8f43-61873bb57f86.jpgFOSS4G 2022 | GC2/Vidi: What’s new in spatial data infrastructure projectGC2/Vidi: What’s new in spatial data infrastructure project The GC2/Vidi platform helps you build a spatial data infrastructure quickly and easily. Powered using open source components for a scalable solution focused on freedom rather than fees. GC2/Vidi comprises two software projects: - GC2 – makes it easy to deploy PostGIS, MapServer, QGIS Server, MapCache, Elasticsearch, GDAL/OGR. And offers an easy-to-use browser application to configure the software stack. - Vidi – a modern take on browser GIS. It is the front-end client for GC2. The GC2/Vidi project is released under GPL and accepted as an OSGeo Community Project in 2018. The talk gives a brief overview of the platform and summarizes the capabilities it has to offer. A new CLI tool (Command Line Tool), which enables administration, import/export of data, starting MapCache seed jobs, running SQLs and more will be introduced. In addition, the new "GC2/Vidi User Group" will be introduced. It is a non-profit organization whose mission is to promote the adoption of GC2/Vidi and the underlying technologies as well as knowledge sharing. The organization was founded in 2020 and has about 15 members, including municipalities, public transport and private companies. Martin Høgh https://talks.osgeo.org/foss4g-2022/talk/WEUVFZ/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/aab27f33-0dc6-4a7e-b26d-29fb70fb5af0https://video.osgeo.org/w/6J6FdV22z1zFvxiU7BgUExhttps://video.osgeo.org/lazy-static/thumbnails/68ff753a-86bf-4d4d-8ad6-43f45bd968b8.jpgFOSS4G 2022 | EOEPCA - An Open Source Exploitation PlatformExploitation platforms offer a cloud-based virtual work environment where expert users can access data, develop algorithms, conduct analysis close to the data and share their value-adding outcomes. We now have a complementary ecosystem of platforms, data sources and cloud services. To fully exploit the potential of these complementary resources we anticipate the need to encourage interoperation amongst the platforms, such that users of one platform may consume the services of another directly platform-to-platform. The goal of the EO Exploitation Platform Common Architecture (EOEPCA) project is to define and agree a re-usable exploitation platform architecture by identifying a set of common building blocks that provide their services through open interfaces (e.g. OGC), to encourage interoperation and federation within this Network of Resources. We are also developing an open source Reference Implementation, to validate and refine the architecture, and to provide an implementation to the community. The Reference Implementation comprises a set of open source components that are available on GitHub, and provided with helm charts for Kubernetes deployment. The components can be used together as an integrated platform, or individually for specific capabilities - which include: - Application Deployment and Execution Service (ADES) - processing engine for execution of user defined applications via OGC API Processes interface - Processor Development Environment (PDE) - integrated web tooling to develop, test and package apps for ADES execution - Resource Catalogue - metadata catalogue for data/applications which provides OGC CSW, API Records, STAC and OpenSearch interfaces - Data Access - standards-based access to both platform and user-owned data (OGC WCS, WMS, WMTS) - Workspace - centralises the user’s management of owned resources through personal Resource Catalogue and Data Access services, integrated with platform S3 object storage - Identity and Access Mana...https://video.osgeo.org/videos/embed/2e5e6e04-6bc1-447c-b5f1-be7342d633d3https://video.osgeo.org/w/27FUfzZ6WT8XJsFYKAsiXbhttps://video.osgeo.org/lazy-static/thumbnails/b003c056-724c-441d-88ba-b3468112deae.jpgFOSS4G 2022 | United Nations Mission in South Sudan GeoStoriesThe United Nations Mission in South Sudan (UNMISS) is a United Nations peacekeeping mission for South Sudan, which became independent on 9 July 2011. UNMISS was established on 8 July 2011 by United Nations Security Council Resolution 1996 (2011) and as of March 2021, it is composed of 19,075 total deployed personnel including 14,222 troops; 217 experts on mission; 1,446 police personnel; 2,228 civilians; 387 staff officers and 388 UN Volunteers, where, it is headquartered in the South Sudanese capital of Juba. Under Chapter VII of the Charter of the United Nations, UNMISS is therefore authorized to use all necessary means to implement its mandate which includes: (a) Protection of civilians (b) Creating conditions conducive to the delivery of humanitarian assistance (c) Supporting the Implementation of the Revitalized Agreement and the Peace Process (d) Monitoring, investigating, and reporting on violations of humanitarian and human rights law The mission has decided to extend its public outreach activities in a different method by utilizing geospatial information and using open geospatial tools and data for showcasing some of its important activities in support of above-mentioned mandates, and for this purpose contracted a service provider through bidding exercise and procurement protocols. In this general session talk, speaker(s) will give their presentations on below topics: - UN Open GIS Initiative Background - UNMISS GeoStories architecture, FOSS4G tools and data - Preventing mis/dis-information by extending public outreach - Review selected Geostories in support of UNMISS mandate Taro Ubukawa Gakumin Kato Akbar Amini https://talks.osgeo.org/foss4g-2022/talk/VEXSFH/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/090830ea-55d7-4a04-958e-f34d93ab0b74https://video.osgeo.org/w/sLr4vkptMzt5UE9WNzDeDMhttps://video.osgeo.org/lazy-static/thumbnails/657646aa-595e-4b48-9288-5cff8aed45a2.jpgFOSS4G 2022 | Creating GIS Rest APIS using Geodjango under 30 minutesWe're living in the world of APIs. CRUD operations are base of lot of operations. Many smart frameworks such as Django, Flask, Laravel provides out of the box solutions to filter the data, which covers almost all needs to separate data based on column values. When it comes to Geospatial data, we expect to filter data based on their location property instead of metadata. This is where things get complicated, if you are using framework that doesn't have package, library built to handle such use cases, you are likely to be dependent on either database or any external package to handle it. Fortunately Geodjango[https://docs.djangoproject.com/en/4.0/ref/contrib/gis/] (Django's extension) allows us to create databases which understands geometry and can process it[https://docs.djangoproject.com/en/4.0/ref/contrib/gis/geoquerysets/#gis-queryset-api-reference]. It also provides support to write APIs using Rest Framework extension [https://pypi.org/project/djangorestframework-gis/] which takes this to next level allowing user to output the data in various formats, creating paginations inside geojson, create TMSTileFilters, etc. In this talk we'll scratch the surface of this python package and see how to build basic CRUD APIs to push, pull GIS data along with filtering it to the PostgreSQL database krishna lodha https://talks.osgeo.org/foss4g-2022/talk/BJFCHK/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/d8c1c66c-1e01-4f8c-b35d-8bf24264187bhttps://video.osgeo.org/w/kq6kp2sBp3qmr7xrSM3kQihttps://video.osgeo.org/lazy-static/thumbnails/825e98ef-bced-4421-8ee1-24ffff4e64ee.jpgFOSS4G 2022 | Kaoto: Integrate your Architecture without codingKaoto is an graphical tool to *orchestrate components* in a *visual*, low-code and no-code editor. Once you have your workflows defined, you can deploy them directly to any kubernetes compatible cloud. Kaoto both be deployed as a SaaS platform or used as a standalone application. The user interface have both a source code text editor and a drag and drop graphical space. This way users can work both no-code and low-code at the same time, simplifying the learning curve of Apache Camel to create integrations. Kaoto is *highly customizable*. It supports custom views for your specific needs, like showing manuals and helpers for your specific use cases. You can also add *your own domain specific languages* and extensions to use different underlying frameworks with the same user interface. This helps your non tech savvy users adapt to new environments. Kaoto augments your productivity, accelerating new users and helping experienced developers to build complex integrations. María Arias de Reyna Domínguez https://talks.osgeo.org/foss4g-2022/talk/SCUTFJ/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/9d3ac5c1-3888-42c6-a337-bf03126abfbdhttps://video.osgeo.org/w/bq5FMj1kSmBedGhctWDDathttps://video.osgeo.org/lazy-static/thumbnails/9258c1f8-255e-4946-954e-0f5f1c5a77fe.jpgFOSS4G 2022 | Using COMTiles to reduce the hosting costs of large map tilesets in the cloudCOMTiles (https://github.com/mactrem/com-tiles) is a streamable and read optimized file archive for hosting map tiles at global scale on a cloud object storage. Currently most geospatial data formats (like MBTiles or Shapefiles) were developed only with the POSIX filesystem access in mind. COMTiles in contrast is designed to be hosted on a cloud object storage like AWS S3 or Azure Blob Storage without the need for a database or server on the backend side. The map tiles of a COMTiles archive can be accessed directly from a browser via HTTP range requests. COMTiles are already successfully used in some projects to significantly reduce the hosting costs and simplify the handling of large tilesets in the cloud. Structure of the talk: - Basic concepts of COMTiles like the structure of the streamable index table (pyramids vs space-filling curves vs fragments) - Comparison of COMTiles to existing cloud native geospatial formats regarding the visualization of large datasets in the browser - Advantages of using a streamable archive format like COMTiles over directly hosting the map tiles in the cloud Markus Tremmel https://talks.osgeo.org/foss4g-2022/talk/FVLUDT/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/54581ff6-afea-4526-98a7-bb459ebb7221https://video.osgeo.org/w/mtLVX475VisL7d6wU32wtohttps://video.osgeo.org/lazy-static/thumbnails/be396caa-7197-469c-94d0-a5864dece90d.jpgFOSS4G 2022 | Development of Environmental Impact Assessments(EIA) Data Visualization System using…Development of Environmental Impact Assessments(EIA) Data Visualization System using FOSS4G - Phase I This talk is about the development of an Environmental Impact Assessments(EIA) data visualization system using FOSS4G. The system is being developed by Gaia3D utilizing several open source projects such as PostGIS, GeoServer, Cesium, and mago3D. Although EIA has played an important role for environmental decision-making and sustainable development, most EIA statements are published as a mix of text and tabular data that is not easily accessible to or understandable for the public. The system was designed to improve the public’s understanding of stakeholders before and after a construction project by providing visualization of key environmental elements. The final goal of the system is to improve the EIA process so that not only experts but also non-experts, citizens can participate in the EIA process and easily understand the meaning of the EIA statements with help from 3D GIS, Easy Finger real-time simulation technology. This system development is 5 years long project funded by Ministry of Environment(MOE-2020002990005), South Korea. This talk will focus on the research outcome of Phase I and future plans. The final system will be opened as an open source with permission from Ministry of Environment. Sanghee Shin https://talks.osgeo.org/foss4g-2022/talk/898PAZ/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/a5d78b4f-a1b3-4742-b17c-42cd5b347134https://video.osgeo.org/w/qx5CACRB1TW2R6F2S4ygbPhttps://video.osgeo.org/lazy-static/thumbnails/286f02dd-0bbd-4cd6-9dea-d7ba0bff8467.jpgFOSS4G 2022 | A crawler for spatial (meta)data as a base for Mapserver configurationAt our institute we manage a lot of input data and model outcomes of soil data to be shared online. We experienced that updating service configurations and metadata records can be quite a challenge, when managed manually at various locations. We've been working on tooling to help us automate the publication processes. These days data publications are set up as CI-CD processes on Gitlab/Kubernetes. These efforts resulted in a series of tools which we call the Python Data Crawler. The crawler spiders a folder of files, extracts and creates metadata records for the spatial files, as well as generates a Mapserver configuration for the data to be published as OGC services. Underneath we're building on the tools provided by the amazing FOSS4G community, such as GDAL, Mapserver, pygeometa, owslib, mappyfile, rasterio and fiona. A typical use case for this software is with many organizations maintaining a file structure of project files. The crawler would index all the (spatial) data files, register the metadata records in a catalogue and users would query the catalogue from QGIS Metasearch to find and load relevant data. We will present our findings around the project at the conference and hope to talk to institutes with similar challenges, to see if we can create an open source software project around the Python Geodata Crawler. Paul van Genuchten Luis Calisto https://talks.osgeo.org/foss4g-2022/talk/QW3NYC/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/c6b23d18-8f1e-4573-840b-79bbec6aafbfhttps://video.osgeo.org/w/f6xSiB2HJ14sySnoxqbhjvhttps://video.osgeo.org/lazy-static/thumbnails/5d321bb5-7844-4415-8df1-74881934e1a8.jpgFOSS4G 2022 | Liberate your QGIS projects out of office with Mergin MapsMergin Maps (Mergin synchronization server and the Input app) is a package of free and open-source components developed by Lutra Consulting since 2017. It allows users to seamlessly share QGIS projects with others and keep a history of the geo-data. Moreover, it allows collecting data in the field with the mobile application Input, fully based on the QGIS core engine. No more paper for the collection of vital data in the field! We will briefly present published case studies to show the capabilities and features of the solution. We will talk about the recent development of the product. In the Input app, where we focused on improving the field survey experience by allowance to use of precise external GPS receivers, stake-out navigation mode or attaching multiple photos to a single feature. On the server-side, in the Mergin, we will demonstrate the ability to store, version and share your geo-data with your team. You will see the new feature to show a map overview of your Mergin project on the dashboard. To fully integrate into CDI, the DB-sync tool for two-way synchronization between Mergin and PostgreSQL will be presented. Advanced features for usage in large teams, such as selective synchronization and work packages (subprojects for teams within companies) will be explained. At the end of the talk, we will uncover the upcoming roadmap for the new features coming in the second half of 2022. Peter Petrik https://talks.osgeo.org/foss4g-2022/talk/CEWFKZ/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/72264c8c-1538-4fdb-b0b8-dd8298866be1https://video.osgeo.org/w/pCbk7TsuFQC9vhmgGjeyQbhttps://video.osgeo.org/lazy-static/thumbnails/d904f32e-184b-4d4f-b34a-6f5841192ecd.jpgFOSS4G 2022 | Building a scalable tiling service using Amazon API GatewayRecent advancements in both raster and vector tile generation mean that TileJSON services can now serve tiles from on-the-fly sources as well as pre-built caches. Currently, Addresscloud uses CloudFront backed by S3 buckets to serve tile caches for its customer-facing applications. Whilst this configuration worked well for pre-built tile caches, it does not readily support on-the-fly generation and is limited by CloudFront's requirement for cookies or signed URLs for private tilesets. In this presentation we will look at the use of Amazon's API Gateway to provide a scalable interface for multiple TileJSON sources. This approach benefits from providing on-the-fly generation tile in a serverless manner and supporting multiple authorization configurations. The presentation will demonstrate the integration of API Gateway with three tile sources: (1) a Lambda function using rio-tiler for on-the-fly generation of raster tiles from a Cloud Optimised GeoTiff. (2) a Lambda function using Amazon Aurora's HTTP API for MVT generation from PostGIS. (3) a proxy interface to a pre-built cache of tile objects stored in an S3 bucket. The presentation will include publication of source code under an open license, which will be available to the community as a reference architecture. This presentation is of interest to anyone developing tiling services in the cloud. Tomas Holderness https://talks.osgeo.org/foss4g-2022/talk/P37MWK/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/bf4f54ac-db6a-4ede-858e-d098fb368152https://video.osgeo.org/w/4m5Xy9YF5cVpNPE1JfNTaahttps://video.osgeo.org/lazy-static/thumbnails/b541fc4d-6b0e-4925-96c1-cc070251194e.jpgFOSS4G 2022 | geojson-vt for Highly Efficient Geojson Rendering in Open LayersGeoJSON is one of the most common geospatial data formats. In simple terms, it is an extension of JSON with geometry property. It is text-based and designed with human readability in mind. For the sake of being eye-convenient, there is a performance trade-off when the browser renders it. GeoJSON consists of features containing redundant property keys, causing the size to be bloated as the feature size goes up. Commonly, drawing GeoJSON with the size of tens megabytes would be slow. Showing a hundred megabytes of GeoJSON data on the browser would most likely crash the browser. When we are in complete control of the system: back end, front end, or anything in between, we could probably change the source format to something more efficient like Vector Tiles. But what if we can only tweak the front end? When we can only tweak the front end, geojson-vt comes to the rescue. Initially designed for Mapbox, we can pair it with OpenLayers to render GeoJSON on the fly as Vector Tiles. We will compare the performance between direct GeoJSON rendering versus geojson-vt for different types of GeoJSON. The usage is straightforward, making it a pretty easy solution to improve our map’s performance. On top of that, we could still use Vector-specific Open Layers function like getFeatures when needed. Zulfikar Akbar Muzakki https://talks.osgeo.org/foss4g-2022/talk/7RZH79/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/1b1958c4-ddda-4eee-abf2-6ce5c095948fhttps://video.osgeo.org/w/cpXjp7DMCriskmbky3iinJhttps://video.osgeo.org/lazy-static/thumbnails/116251ac-1440-45cd-af91-578fc43fbd80.jpgFOSS4G 2022 | Building a Geocoder on top of PostGIS - a Field ReportIt seems to be conventional wisdom that a search engine for geodata is best implemented with a text search engine like OpenSearch or Solr. Most of available open-source geocoders follow that wisdom. Nominatim is the odd one out. OpenStreetMap's main geocoder was originally developed 12 years ago as a proof of concept that a geocoder can be efficiently implemented on top of a PostgreSQL/PostGIS database. Since then it has grown into mature project. And so have the PostgreSQL database and the OpenStreetMap project. In this talk, I will share some of the experiences of working with PostGIS on a growing OpenStreetMap dataset. The talk starts with a quick overview about what the Nominatim database looks like under the hood. It then goes on to present some of the lessons we have learned over the last 10 years on managing a PostGIS database with more than 270 million searchable places. We talk about features that improved performance and about some that are best avoided. The talk concludes with some general observation about implementing search on top of an SQL database. Sarah Hoffmann https://talks.osgeo.org/foss4g-2022/talk/NRSLYC/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/5c6cb8f0-38f2-445f-9b7e-6657abc9d0d8https://video.osgeo.org/w/4ViBxmrw1nM3TBQ6ApD9EUhttps://video.osgeo.org/lazy-static/thumbnails/ecce2e8a-b910-4c05-aae3-cee8bf6c7c85.jpgFOSS4G 2022 | Calculating school catchment areas - an open source solutionIn many countries, access to schooling is one of the key measures of performance of the education system. It is not always known how long learners walk to school, even if the buffer distance is set by policy. GISPO teamed up with the UNESCO International Institute of Educational Planning (IIEP) to study the problem. The result is a new QGIS plugin (“Catchment”) which allows easily calculating catchment areas based on travel time (isochrones), for all schools across a whole territory. The plugin uses the open source Graphhopper routing server and OpenStreetMap data across the globe. This allows us to easily find out how many people live e.g. 15, 30 or 60 minutes away from education in different parts of a country. Further, the development of the plugin triggered a campaign of local OpenStreetMap mapping in Madagascar, which was one of the first countries to pilot the plugin. Having more roads mapped on OpenStreetMap has an impact far beyond educational planning. Naturally, the same plugin may also be used for calculating all kinds of service catchment areas in QGIS; it was also employed to e.g. calculate access to rail transit across Helsinki metropolitan region. Riku Oja Amelie A. Gagnon https://talks.osgeo.org/foss4g-2022/talk/HR89PA/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/1fbcb0a6-ba26-4470-9cee-1d0c5c93eda8https://video.osgeo.org/w/n9RLGqP3bLyKTMCTKAeZXAhttps://video.osgeo.org/lazy-static/thumbnails/55b353d3-eb50-45dd-9456-cb0169b90e28.jpgFOSS4G 2022 | Aggregating risk with H3 and PostGISIn this talk we will look at how PostGIS and Uber's H3 index can be used for aggregating large amounts of data, in our case property insurance risk, in real-time. We will explore a number of different techniques from the H3 PostGIS extension generating GeoJSON, to generating MVTs from the database to pre-caching the H3 index and painting a vector tile layer client side. For our client side layer will use a React JS interface, Maplibre and will also look at Deck.GL for more advanced use cases. We will discuss how the stack can be deployed using a serverless architecture running on AWS Lambda and Aurora Serverless Postgres. This talk requires no prior knowledge however some experience with PostGIS and vector tiles will be useful. You will learn techniques which can be applied to any problem domain where there is the need to work with data volumes where processing individual points would not be practical. Mark Varley https://talks.osgeo.org/foss4g-2022/talk/EBQARM/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/ab4c88c5-a028-43e4-877d-897b60c16b64https://video.osgeo.org/w/1fuVXL98DkDHk9Aw3J2gG5https://video.osgeo.org/lazy-static/thumbnails/27514b01-0623-48cd-b075-18c3f35d2e47.jpgFOSS4G 2022 | MapServer - Make beautiful mapsThis talk will be about the art of beautiful digital cartography. Some of the features in Mapserver can contribute to making maps that stand out a little extra. We will focus on advanced line symbology, the layer composition pipeline and the newly added GEOMTRANSFORM "centerline". Creating very complex line symbology can be tricky. We will go into detail about how to build such symbology. The layer composition pipeline offers many exciting possibilities. We will show various examples how to achieve some stunning symbology for different feature types. The geomtransform centerline function can produce beautiful labeling possibilities. My first experiences and lessons will be shared. Other things that could come up is possibilities with “Named Styles” To summarize it will be a talk about some new features and some older features in MapServer that are described in more detail. The talk is based on practical experiments and real problems that the author has experienced. Lars Schylberg https://talks.osgeo.org/foss4g-2022/talk/SQMVXH/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/02063de3-8ba2-45a4-8296-427fb50deab8https://video.osgeo.org/w/jW5YeBUohqE1GQCqy1jDqvhttps://video.osgeo.org/lazy-static/thumbnails/468832a5-2828-40ee-a62f-e736d40d14bf.jpgFOSS4G 2022 | A Python tool for QGIS for gender recognition in street directoriesIn the last years the attention for gender equality in all context has increased all over the world. Nowadays the sensibility of Public Administrations towards the naming of streets, roads, squares and monuments after women has highlighted that, instead, the toponymy has always been oriented to the choice of male figures. In this work we present a Python script for QGIS, that allows to verify if a proper name, contained in a street directory, is of male or female gender. There are other Open Source projects that, starting from an address, verify the gender of the represented person; the most famous is the GeoChicas Project [1]; in Italy it is worth mentioning the "Toponomastica Femminile" Association [2] that manually verifies the streets dedicated to women, according to a predefined taxonomy (religious women, artists, etc.). The goal of the present work is to automate the gender reconnaissance starting from a list of names; however, unlike GeoChicas that use as a base parameter a dictionary of names with which to compare the list, we propose to make a query of DBpedia via SPARQL in order to identify the subject and derive its gender. If the address is the attribute of a spatial dataset, then it is possible to add a new attribute (the gender) to the vector layer table as a result of DBpedia query. This approach overcomes language limitations (which would require differentiated dictionaries) and the ambiguities that some names would have (for example the nome "Andrea" is used as both a masculine and feminine name). The script is created using the SPARQL language with a very simple structure, in which the triplet of data is constructed in order to obtain the gender from the name of a person through the query of DBpedia. The script can be run in QGIS environment associating the data outputs directly to the geometry or even outside of QGIS and as a result you will have a list of "genders". The process of relying on Wikipedia/DBpedia has the twofold advantage that, wh...https://video.osgeo.org/videos/embed/9951b8d9-26e6-4bac-8807-dc5b32f6f691https://video.osgeo.org/w/o3KVEQnroGy1ntxJ6anCLGhttps://video.osgeo.org/lazy-static/thumbnails/d7ceaac7-3c7e-4905-8ffd-2fd1efe29e7a.jpgFOSS4G 2022 | Geospatial data science for planning education systemsThe presentation will share how UNESCO’s International Institute for Educational Planning (IIEP) applies FOSS4G technologies to advance Ministries of Education’s use of geospatial data in planning better educational results among school children. Our work here at the IIEP-UNESCO is to design tools for educational planners all around the world, and FOSS4G has been the cornerstone of our work. Educational planners are the professionals who work in Ministries of Education –in district offices or in the central office-- that are tasked with designing the best possible strategies and interventions to make sure that all learners will get good quality access to relevant and efficient educational services. For decades, planners have been using geospatial insights with minimal computing capacity and- to be honest- very little spatial data. Over the last few years, we have been completely refurbishing the methods and the data that we use as planners, and working with the FOSS4G community has been instrumental in fulfilling our mission. This talk is about sharing concrete applications and use cases of geospatial data in educational planning. For example, we spatialize the number of students that will enrol in each grade in different communities, we plan for the training, recruitment, deployment, and retention of the teaching staff, we lead suitability analyses to check where to best build a new school or where to refurbish existing ones. So in this presentation we will show you examples of application of tools and methodologies all built on FOSS: - Spatialized school-age populations in Jamaica - Routing optimization of inspection circuits in Finland - Geographically-weighted regressions for improving learning in Colombia - School infrastructure and natural hazard risk model in Indonesia - Sea level rise and historical floods in Viet Nam - School catchment areas based on travel time (check out the presentation submitted by Riku Oja from GISPO, it’s our joint work!)...https://video.osgeo.org/videos/embed/b28b9ba6-946a-4048-9ea1-8e3aaf327328https://video.osgeo.org/w/tdqhuJyLjxcgtxVWBZMFX9https://video.osgeo.org/lazy-static/thumbnails/4c1b7455-7ccd-443e-9ee0-dc1847bfa82e.jpgFOSS4G 2022 | Introducing WIS 2.0 in a box: an open source and open standards platform for…Introducing WIS 2.0 in a box: an open source and open standards platform for international weather, climate and water data discovery, access, and visualization The World Meteorological Organization (WMO) Information System (WIS) is a coordinated global infrastructure responsible for telecommunications and data management functions and is owned and operated by WMO Members. WIS 2.0 will provide users with seamless access to diverse information from a wide range of sources and will enable weather, water and climate information to be related to socioeconomic and other contexts. Through an open ecosystem of tools, applications and services, WIS 2.0 will allow all information providers to manage, publish and share their data, products and services, and will allow all users to develop value-added services and new products. The WIS 2.0 principles highlight and promote the value of standards, interoperability and the Web/mass market. This will extend the reach of weather/climate/water data for a number of societal benefits. WIS 2.0 is being designed to have a low barrier to entry for data providers. This will also result in enabling infrastructure and provide great benefit for less developed countries (LDCs). There is a strong motivation to provide LDCs easy to use tools and sustainable workflow for data exchange to 1./ ease the burden of exchanging data 2./ continue to provide valuable weather/climate/water data in WIS 2.0 over time. The WIS 2.0 in a box (wis2box) project enables LDCs free and open source onboarding technology to integrate their data holdings and publish them to WIS 2.0 in a manner consistent with the architecture for plug and play capability, supporting discovery, access and visualization. This presentation will provide an overview of the project and current capabilities highlighting the use of numerous FOSS4G tools and PubSub driven implementation of OGC API standards. Tom Kralidis Benjamin Webb David Berry https://talks.osgeo.org/foss4g-2022/t...https://video.osgeo.org/videos/embed/dc62a285-ded3-4136-a965-08a84cf32272https://video.osgeo.org/w/o4PToDcS9QiFEoSPGh48ezhttps://video.osgeo.org/lazy-static/thumbnails/3ffc87da-d092-470c-ac57-fbd1ddb048b6.jpgFOSS4G 2022 | Liven up your webmaps with custom microanimationsMicro animations are small animations on a website that support the user by attracting focus to where we want their attention. They can also be used to support relationships between elements in a web application, for example a list element and a map feature, or simply to spark a little joy. Users today have come to expect these animations in their online experiences. How can we provide these features in a web map? Map libraries gives you some animations out of the box today, but what if you want something custom? This presentation will give examples on how small animations can be used in web maps to support interactivity. We will walk through building our own, custom animation that can be used as a starting point for many types of animations in web maps. The technique is library-agnostic, so we’ll show examples in both MapLibre GL JS, Leaflet and OpenLayers. John Wika Haakseth https://talks.osgeo.org/foss4g-2022/talk/ZH8WAJ/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/b2b1caeb-2cbd-4aff-bff6-5cea61836847https://video.osgeo.org/w/pET1Fk3wd8oQiQYVn8PgJQhttps://video.osgeo.org/lazy-static/thumbnails/118c1647-94e9-44b4-9daa-a9a50c4f178b.jpgFOSS4G 2022 | A new SQL library to enable spatial analytics in SparkIn this talk, we'll review the major milestones that have defined Spatial SQL as the powerful tool for geospatial analytics that it is today. From the early foundations of the JTS Topology Suite and GEOS and its application on the PostGIS extension for PostgreSQL, to the latest implementation in Spark SQL using libraries such as the CARTO Analytics Toolbox for Databricks, Spatial SQL has been a key component of many geospatial analytics products and solutions, leveraging the computing power of different databases with SQL as lingua franca, allowing easy adoption by data scientists, analysts and engineers. The CARTO Analytics Toolbox is a comprehensive library that provides advanced geospatial functionality through Spark SQL. It enables Spatial SQL analytics at scale providing the foundational tools for analyzing and visualizing geospatial data. In this talk we'll cover the technical aspects of the library implementation using Open Source technologies, as well as demonstrating the installation and practical usage with a real-life example. Our talk will go through some of the geospatial operations that can be performed directly in Spark and we will demonstrate how users of the Analytics Toolbox can create beautiful map visualizations leveraging the latest Open Source rendering tools; and how to address a wide variety of spatial use cases using other products built on top of open source technologies, like CARTO and Databricks. Borja Muñoz Ernesto Martínez Becerra https://talks.osgeo.org/foss4g-2022/talk/TLJESF/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/bfafe3b7-02b2-4436-845c-7287e87cfef8https://video.osgeo.org/w/kNBJEHhj7S75mDzwj1RSdMhttps://video.osgeo.org/lazy-static/thumbnails/f0e2d2a0-1a2f-47a2-84ff-5328ae372b8a.jpgFOSS4G 2022 | What’s new in geospatial ElasticsearchElasticsearch (https://www.elastic.co/elasticsearch/) is a well-known and mature NoSQL database providing search and analytics services for big datasets. The “elasticity” of its name comes from the distributed design and easy scalability capabilities that have made it an industry leader for more than ten years. In this talk we will present two exciting new features that have been added recently to the product related with the geospatial topic: vector tiles support and line and hexagon aggregations. Vector tiles have become an industry standard to encode large amounts of data to be displayed in the browser by web mapping libraries like MapLibre or OpenLayers. Elasticsearch analytics & geo team has added a new API endpoint (https://www.elastic.co/guide/en/elasticsearch/reference/current/search-vector-tile-api.html) that renders search and aggregation queries as zipped protobuffers (https://developers.google.com/protocol-buffers), allowing developers to retrieve right from the datastore assets that are ready to be sent to the user's browser without much further processing. This will speed up the rendering of large datasets by avoiding transferring JSON assets from Elasticsearch to application middleware. Elasticsearch geospatial aggregation capabilities have been extended recently by two new methods, one is to allow combining related points into a new line geometry (https://www.elastic.co/guide/en/elasticsearch/reference/current/search-aggregations-metrics-geo-line.html) (think of a vehicle track) and the other is to aggregate geometries into an hexagon grid (https://www.elastic.co/guide/en/elasticsearch/reference/8.1/search-aggregations-bucket-geohexgrid-aggregation.html). The new geo-line aggregation will be very useful for asset tracking use cases where the second enables Elasticsearch to perform powerful analytics combined with the extensive support for metric aggregations. In this talk we will present this project, going through the different use cases with ...https://video.osgeo.org/videos/embed/a05fdeee-f7db-4695-8c97-acb705195dd5https://video.osgeo.org/w/u2oLXLuEfja2ToN1kDjwqihttps://video.osgeo.org/lazy-static/thumbnails/7bdf3f55-859d-4847-bed5-4b9b2f431a0e.jpgFOSS4G 2022 | State of PDALPDAL is Point Data Abstraction Library. It is a C/C++ open source library and applications for translating and processing point cloud data. It is not limited to LiDAR data, although the focus and impetus for many of the tools in the library have their origins in LiDAR. PDAL allows you to compose operations on point clouds into pipelines of stages. These pipelines can be written in a declarative JSON syntax or constructed using the available API. This talk will focus on the current state of the PDAL Pointcloud processing library and related projects such as COPC and Entwine, for pointcloud processing. Coverage of the most common filters, readers and writers along with some general introduction on the library, coverage of processing models, language bindings and command line based batch processing. First part will be covering new features for current users. Some discussion of installation method including Docker, binaries from package repositories, and Conda packaging. For more info see https://pdal.io Michael Smith https://talks.osgeo.org/foss4g-2022/talk/333STX/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/e2f1a976-7f0a-402a-8d63-73a4592157b9https://video.osgeo.org/w/w2GFURG1oAacZhACGpwyKdhttps://video.osgeo.org/lazy-static/thumbnails/9798963f-c42e-4c53-8d51-513b250327f8.jpgFOSS4G 2022 | pygeoapi project status 2022pygeoapi is an OGC API Reference Implementation. Implemented in Python, pygeoapi supports numerous OGC APIs via a core agnostic API, different web frameworks (Flask, Starlette, Django) and a fully integrated OpenAPI capability. Lightweight, easy to deploy and cloud-ready, pygeoapi's architecture facilitates publishing datasets and processes from multiple sources. The project also provides an extensible plugin framework, enabling developers to implement custom data adapters, filters and processes to meet their specific requirements and workflows. pygeoapi also supports the STAC specification in support of static data publishing. pygeoapi has a significant install base around the world, with numerous projects in academia, government and industry deployments. The project is also an OGC API Reference Implementation, lowering the barrier to publishing geospatial data for all users. This presentation will provide an update on the current status, latest developments in the project, including new core features and plugins. In addition, the presentation will highlight key projects using pygeoapi for geospatial data discovery, access and visualization. Tom Kralidis Francesco Bartoli Angelos Tzotsos Just van den Broecke https://talks.osgeo.org/foss4g-2022/talk/KABLGQ/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/f32efa80-2eba-4a4e-b7ea-844685e9806ahttps://video.osgeo.org/w/bc5r4WJtiCEXyLi3DwxQVZhttps://video.osgeo.org/lazy-static/thumbnails/1778bf53-625b-4bdc-bfde-81cc26a6c52f.jpgFOSS4G 2022 | State of OSM in QGISQGIS is one of the most used Open-Source GIS Software. It is possible to display, edit, analyse, process different kind of data such as vector, raster, mesh, point clouds etc. QGIS has some native functionalities to work with OSM data. Either with raster layer as a basemap, or with vector, QGIS can deal with OSM data. Depending on the amount of data to work with, the need to "refresh" the data (from the main OSM database), the extent of the coverage, different plugins or technologies are possible. This presentation will try to give an overview how it's possible to use OpenStreetMap data within QGIS according to different situations (Geocoding, TMS/WMS, Overpass-API, Docker, PostgreSQL…). The presentation will show how you can contribute to QuickOSM to add some default « map preset » to QuickOSM core on GitHub. This feature in QuickOSM allows users to have a set of vector layer with styles in QGIS which are ready to be used, with a symbology. Etienne Trimaille https://talks.osgeo.org/foss4g-2022/talk/9ARVQD/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/52874cac-f969-46c7-8a84-8e7c1de82cd3https://video.osgeo.org/w/xxdPPqafssG4iLKhMpeCmxhttps://video.osgeo.org/lazy-static/thumbnails/40e4c8b3-e0d8-4c44-8050-1880c1bb70f0.jpgFOSS4G 2022 | QGIS MapTiler plugin v3- vector basemaps & global DEM for 3D terrainThe MapTiler plugin is the easiest way to load styled vector tiles into QGIS. The plugin allows anybody to easily load map data of the entire planet (from OpenStreetMap project), with details down to the street level from Cloud or any other URL. The version 3.0 of MapTiler plugin brings several new features, maps and datasets. A new global DEM of the entire planet is ideal for terrain spatial analysis. New maps - both in vector and raster - OpenStreetMap (popular OSM Carto finally in vectors!) and a Winter map for all wintertime activities. A new Satellite map based on our new 2021 cloudless satellite imagery with 10m resolution for the entire planet. The plugin offers maps of the entire world in vector or raster tiles, but can also open maps from any other URL. You can load high-resolution aerial imagery, hillshading, global terrain data and contour lines for outdoor maps or official government open data from various countries. A ready-to-use list of beautiful map styles is available to QGIS users. Those who prefer customized maps can make their own map design in a few clicks using the Customize tool. Users can set their own colors, fonts, or choose the language of map labels. Use the power of QGIS and reproject, rotate and export vector tiles to various formats (including PDF, SVG or DWG) or use Print Composer to create beautiful high-detailed maps to fit your needs. The plugin is an open-source project with code available at GitHub repository and open to any contribution from developers and users. Adam Laza https://talks.osgeo.org/foss4g-2022/talk/PEXWC9/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/ff674238-4ed5-4b71-9a89-ce1bdeda64cfhttps://video.osgeo.org/w/j7e5H1ph1wBAMzZCY5jdRqhttps://video.osgeo.org/lazy-static/thumbnails/1dcb049f-bb12-4e59-8744-6bebe61400db.jpgFOSS4G 2022 | How to get a good response on stackexchangeI often hear complaints that the stackexchange sites are too mean to new users, that moderators are too quick to close a question that doesn't fit the guidelines or nitpick the questions to death. Also, that they didn't get a good answer anyway so what is the point. This talk will give you an introduction on how to ask a “good” question on gis.stackexchange.com from an experienced moderator of the site. As a bonus, you will also find out how to file a useful bug report (either internally or to an external project). This talk will cover the things that you might not think are useful but are in fact vital to someone who is trying to help you. I will discuss how the site works and how to make it work well for you, what sort of questions are “good” questions and which ones are better asked somewhere else. I will also cover what the difference between closing and deleting a question is and how to get your question reopened if it is closed. How the review queues work and how you can help improve the site for other users. Ian Turton https://talks.osgeo.org/foss4g-2022/talk/TNMMMF/ #foss4g2022 #generaltrack #Educationhttps://video.osgeo.org/videos/embed/92a30521-e254-4d58-b072-56a7c079d972https://video.osgeo.org/w/hxycKGnPNrxWEHSzPYxN7Bhttps://video.osgeo.org/lazy-static/thumbnails/0a1e678b-b3e9-4e48-9ab3-b5f1cf595d0e.jpgFOSS4G 2022 | OpenPlains - Is it the new web GRASS?OpenPlains - Is it the new web GRASS? Corey White https://talks.osgeo.org/foss4g-2022/talk/BHVKEZ/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/85fa1efa-d095-4898-85cb-730b5f477cefhttps://video.osgeo.org/w/iLvwMMCpBst1k1WRh4Jhiphttps://video.osgeo.org/lazy-static/thumbnails/c209c37e-678e-4a20-8f85-3693349adc30.jpgFOSS4G 2022 | The benefits of COG (Cloud Optimized GeoTIFF) outside the cloudThis is a technical feedback about why the COG (Cloud Optimized GeoTIFF) format is valuable outside the cloud and can speed up productivity in many ways. During first months, remote work and COVID, IT department was overbooked and has to face to many issue such bandwidth limitation. Images display was suffer in GIS client. Of course, webservice was always available but user has to control on band order or radiometry settings. WCS is supposed to be the solution. Unfortunately, it offered degraded performance. COG is supposed to be serve from HTTP server or S3. But we’ve simply test from a network drive / mount point and it offer great performance. Depending internet connection, it could be as fast as it is in local ! COG advantage must be consider outside of the cloud as remote work tends to develop more and more. It could avoid to deploy heavy webservice infrastructure for only raster visualization. From other side, benchmark between publish some other format compare to COG in GeoServer. From Regional Data Infrastructure, it’s streamline storage data between raster format as input file for webservices and opendata raw downloading services as open archives. Finally, I will give some feedback and tips and tricks to find best parameters to convert orthophotography, DEM or DSM, etc. to COG. Nicolas Rochard https://talks.osgeo.org/foss4g-2022/talk/7MKQK7/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/8fe24839-f063-48aa-8277-67c3bfe41131https://video.osgeo.org/w/aw9ZVSpm4z1XCKSGwSwK4Zhttps://video.osgeo.org/lazy-static/thumbnails/021e798d-c70b-4c92-b6d0-5be9a523d131.jpgFOSS4G 2022 | State of GeoBlaze: A Blazing Faster Raster Analysis Engine in Pure JavaScript*GeoBlaze (https://geoblaze.io)* is a blazing fast raster analysis engine written in pure JavaScript. With geoblaze, you can run computations ranging from basic statistics (min, max, mean, median, and mode) to band arithmetic and histogram generation in either a web browser or a node application. ### presentation This presentation will go over recent updates to GeoBlaze, including the addition of support for Cloud-Optimized GeoTIFFs. We will also discuss the roadmap for the next couple years. ### use cases GeoBlaze can be used wherever vectors and rasters meet. You can use it to calculate the hectares of wheat in a country, the change in daily median earth temperature, and identify wildfires in satellite imagery. ### environment Because GeoBlaze is written in pure JavaScript it can be run in various environments, on an EC2 server, Lambda function, Cloudflare worker, or in the browser. It performs calculations using the CPU, so it is not restricted only to environments where a GPU is available. ### notable dependencies GeoBlaze is built on top of the following open-source projects: dufour-peyton-intersection (https://github.com/GeoTIFF/dufour-peyton-intersection), georaster (https://github.com/geotiff/georaster), geotiffjs (https://github.com/geotiffjs/geotiff.js), and calc-image-stats (https://github.com/danieljdufour/calc-image-stats). ### sample notebooks: - Time Series Analysis with GeoBlaze: Mean Daily Air Temperature for the Month of May: https://observablehq.com/@geosurge/time-series-analysis-with-geoblaze-mean-daily-air-temperat - Identifying Carr Wildfire with Landsat 8: https://observablehq.com/@geosurge/identifying-carr-wildfire-with-landsat-8 - Hectares of Rainfed Wheat in Ukraine: https://observablehq.com/@danieljdufour/hectares-of-rainfed-wheat-in-ukraine Daniel J. Dufour https://talks.osgeo.org/foss4g-2022/talk/3JQNXL/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/4d181b52-ab5c-4628-9d94-74319aafc283https://video.osgeo.org/w/j3KsaqMGd8REouUtNbNMJLhttps://video.osgeo.org/lazy-static/thumbnails/dabd2bce-5fef-42af-b678-0798a29ca396.jpgFOSS4G 2022 | Scaling down web maps for the final userWebGIS publishing platforms like MapStore, are usually very feature-rich, to cover a lot of different scenarios, from the QGIS-like do-it-all web application, to a simple interactive map for a company website. This comes with an important trade-off: even when removing most of the unneeded functionalities for the simplest use case, the cost of the platform needed to run your maps can be overwhelming. The problem here is that a single platform is not always the best choice for every kind of usage. This talk shows how to use the popular MapStore platform as an application builder, to publish interactive maps that can run on a very light engine, de facto scaling down a quite heavy platform to the needs of performance and simplicity that better suit a lot of general user oriented applications and websites. We will start by creating a map from different data sources, using MapStore, then we will export the map and publish it to our alternative light engine. We will then highlight all the advantages this approach can offer. Finally we will give some insights on the technical aspects of this project. Mauro Bartolomeoli https://talks.osgeo.org/foss4g-2022/talk/JUKEPT/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/9226c2d7-556f-4644-9016-ca493b34e454https://video.osgeo.org/w/vZ56uZSpNMtAkH1dDmySKehttps://video.osgeo.org/lazy-static/thumbnails/e7eb04df-6a14-4a5a-bbe8-643981c15bad.jpgFOSS4G 2022 | Lidar classification, accuracy and change detection using the Norwegian open lidar…Lidar classification, accuracy and change detection using the Norwegian open lidar data archive. Three dimensional representations of surface terrain and structure is essential for a range of widespread applications and forms a base dataset that underlies many decision making processes. A few examples include land use planning, areal overview, operational analysis, emergency handling, route and transport planning, geographical and meteorological modelling etc. Recently, the Norwegian Government and the Norwegian Mapping Authority tasked the acquisition of high resolution Light Detection and Ranging (LIDAR) data covering the entire mainland with a minimum of 2 point measurements per meter. In addition, all aerial lidar acquisitions that were tasked by the government since the early 2000s are also publically available for download. In this work using FOSS, we discuss the height accuracy of ground classified datasets (i.e. Digital Terrain Models, Digital Surface Models) with varying original acquisition ground point densities. We create classification pipelines that allow us to calculate derivative products such as a “normalized” vegetation density and further compare these over time. This work in progress discusses our experience with open source tools on open source data and some of the challenges we encountered scaling our methods for big data. Christopher Nuth https://talks.osgeo.org/foss4g-2022/talk/JSC7EV/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/f2d0f086-c51a-4419-919f-3fe162701733https://video.osgeo.org/w/i7ZhGuAcX7beyHBo5xjxzUhttps://video.osgeo.org/lazy-static/thumbnails/605d6e46-8acc-44fe-9b52-d7666db76ee2.jpgFOSS4G 2022 | Gleo: Reinventing WebGL mapsWebGL has enabled fast rendering of maps on the web (including MapLibreGL and OpenLayers renderers), but from the software development point of view, is a notoriously cumbersome technology to work with. This session introduces Gleo, a JavaScript+WebGL map display library aiming to cover similar use cases than Leaflet, OpenLayers, MapZen and MapLibreGL. A few architectural features of Gleo will be outlined, including: - "One GL shader per type of cartographic symbol" rendering & framebuffer compositing approach - Object-oriented design: symbols as instances; allocation/deallocation of GPU resources for each symbol - ES6 javascript features: classes, modules, private fields; symbol as DOM EventTarget; deprecation of mouse/touch events in favour of pointer events - Sliding window algorithm in a wrapped WebGL texture for tile caching - On-the-fly reprojection enabled by updating just one WebGL data structure - On-the-fly CRS offsetting to prevent floating-point precision artifacts - Coordinate wrapping and display tessellation to avoid antimeridian artifacts ivansanchez https://talks.osgeo.org/foss4g-2022/talk/KV3XUW/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/8aa51ff0-68d6-4218-a0f6-35632cf7074ahttps://video.osgeo.org/w/pJDBu7cd4UiYiQ9ToKhFBThttps://video.osgeo.org/lazy-static/thumbnails/8d0562b9-04a3-49f9-b79b-cab63daf3a9b.jpgFOSS4G 2022 | Status of OTBTF, the Orfeo ToolBox extension for deep learningOTBTF is a remote module of the Orfeo ToolBox enabling deep learning with remote sensing images. Created in 2018, it aimed to provide a generic framework for various kind of raster-oriented deep-learning based applications. Originally, OTBTF included user-oriented applications for patches sampling, model training, and inference on real world remote sensing images, and a few python scripts to help users with no coding skills to generate some ready-to-use models. A few years later, it has been used for a wide range of applications, like landcover mapping at country scale, super-resolution, optical image cloud removal, etc. This talk will present a few selected IA based applications powered by OTBTF in the framework of research projects, public policies support, or teaching. We will present the recent features added in OTBTF and we are very happy to introduce what is next! More details on the project on the github repository: github.com/remicres/otbtf remi.cresson@inrae.fr https://talks.osgeo.org/foss4g-2022/talk/RK9QUW/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/c0369b4b-4387-4ffe-a77b-20ed4678bd4dhttps://video.osgeo.org/w/s8DjAbg9gAsjQpzBqXrGH3https://video.osgeo.org/lazy-static/thumbnails/56a6fad8-a3aa-48b9-98bb-647f4d85592e.jpgFOSS4G 2022 | Political Reapportionment: Drawing Boundaries with QGISThe process of drawing new political boundaries in representative democracies has generally been done with closed source software. However, a number of open source products are changing the way governments draw their jurisdictions. The QGIS Redistricting Plugin has been used to redistrict communities in the United States, Canada, and Australia, and other open source software such as DistrictR has been used to redistrict the United States in their previous cycle, significantly cutting the cost needed to participate in this activity and allowing individuals to make better contributions. At its core, the software is simple but powerful: it allows users to change attributes in an attribute column using selection tools and displays aggregate statistics for other selected columns. Join John Holden, the plugin's developer, and Blake Esselstyn, a geographic and political consultant, for a plugin demonstration and a discussion of how governments and citizen groups have transitioned to using open source software in this important political area. John Holden Blake Esselstyn https://talks.osgeo.org/foss4g-2022/talk/EDYALU/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/d39ecfa6-11bb-4762-bb6c-90dddf88de84https://video.osgeo.org/w/canSmZDyg8RR7eEijVUHGbhttps://video.osgeo.org/lazy-static/thumbnails/9ef525c2-c891-4397-ac09-bded638f362f.jpgFOSS4G 2022 | Web mapping at any scale: Bite-size, full-stack cartography with Protomaps + PMTiles…Web mapping at any scale: Bite-size, full-stack cartography with Protomaps + PMTiles open source tools Protomaps is a new, open source set of tools for vector cartography on the web. It’s designed to enable projects of any scale - from hobby projects of a neighborhood, to dense datasets covering the entire planet. It finally makes it simple to both host tiles and render them using web standards, and accomplishes it in the most affordable way possible. This talk will be an overview of the entire mapping stack, driven by an ethos of simplicity. Component projects include: - The OSM Express database for syncing and querying fresh OpenStreetMap data - The PMTiles cloud-optimized archive format for serverless hosting on platforms like S3 - The Protomaps JS renderer for custom cartography on the web using Canvas 2D - The relationship to complementary projects like GDAL, Leaflet, MapLibre, Tippecanoe and FlatGeobuf I’ll also describe successes and failures in adoption among users over the past two years, as well as future development plans. Brandon Liu https://talks.osgeo.org/foss4g-2022/talk/WXJKDM/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/5a63b22e-031c-4063-8247-2acb5b79cbcehttps://video.osgeo.org/w/4Z52j1muCnaUgCFB6X86nwhttps://video.osgeo.org/lazy-static/thumbnails/c86a0ab0-d5d0-4355-852a-875efdc8640c.jpgFOSS4G 2022 | Styling Natural Earth with GeoServer and GeoCSSNatural Earth is a public domain map dataset available at 1:10m, 1:50m, and 1:110 million scales. Featuring tightly integrated vector and raster data, with Natural Earth one can build a variety of visually pleasing, well-crafted maps with cartography or GIS software. GeoServer GeoCSS is a CSS inspired language allowing you to build maps without consuming fingertips in the process, while providing all the same abilities as SLD. In this presentation we’ll show how we have built a world political map and a world geographic map based on Natural Earth, using CSS, and shared the results on GitHub. We’ll share with you how simple, compact styles can be used to prepare a multiscale map, including: - Leveraging CSS cascading. - Building styles that respond to scales in ways that go beyond simple scale dependencies. - Various types of labeling tricks (conflict resolution and label priority, controlling label density, label placement, typography, labels in various scripts, label shields and more). - Quickly controlling colors with LessCSS inspired functions. - Building symbology using GeoServer large set of well known marks. Join this presentation for a relaxing introduction to simple and informative maps. Andrea Aime https://talks.osgeo.org/foss4g-2022/talk/TLCX97/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/20434a35-adad-43a7-a9df-fa6a528ade7chttps://video.osgeo.org/w/sMoiWfuhF1rf12txD9Z5Ephttps://video.osgeo.org/lazy-static/thumbnails/f872beb4-06d0-4de5-93df-9a8fb769a4ba.jpgFOSS4G 2022 | QGIS Server into the wildWith our Lizmap hosting service, we provide and monitor several hundred of QGIS servers. These QGIS Servers receive and process 3.5 million requests per week, including 3 million WMS GetMap requests. We do not control the content of these QGIS projects, which are sent by our customers on our servers. Therefore, we need to deal with projects having some various kind of issues. Some QGIS projects can have very heavy SQL views which are slow to load. Our infrastructure may host projects having hundreds of layers with complex symbology. Users can publish QGIS PDF layouts (A4 and A3) with custom logos etc. This can lead to memory problems. GIS technicians can add different data sources : vector and raster files, PostgreSQL / PostGIS database, OGC WMS, WFS and WMTS web services into these QGIS projects. We need to ensure that QGIS Server is working properly, for all customers, to execute incoming requests when some external Web Services providers are too slow to respond or are temporarily offline. We need to take care of possible errors propagated by these projects. In some circumstances, we have about 10 thousand errors per week coming from QGIS server. The goal of this presentation is to give an overview of what QGIS Server can experience into the wild and what we need to do to make the Lizmap user experience the best possible: monitoring, proxy, caching. Etienne Trimaille René-Luc Dhont https://talks.osgeo.org/foss4g-2022/talk/VC8WX9/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/d8e3d2c7-ccce-419c-b8c7-0a7060da970bhttps://video.osgeo.org/w/tprR8FMmzf1qmUxeXEzsLBhttps://video.osgeo.org/lazy-static/thumbnails/06cd8fb9-0789-42c7-8266-775c8db03e05.jpgFOSS4G 2022 | pycsw project status 2022pycsw is an OGC CSW server implementation written in Python and is an official OSGeo Project. pycsw implements clause 10 HTTP protocol binding - Catalogue Services for the Web, CSW of the OpenGIS Catalogue Service Implementation Specification, version 3.0.0 and 2.0.2. pycsw allows for the publishing and discovery of geospatial metadata, providing a standards-based metadata and catalogue component of spatial data infrastructures. The project is certified OGC Compliant, and is an OGC Reference Implementation. The project currently powers numerous high profile catalogues such as IOOS, NGDS, NOAA, US Department of State, US Department of Interior, geodata.gov.gr, Met Norway and WMO WOUDC. This session starts with a status report of the project, followed by an open question answer session to give a chance to users to interact with members of the pycsw project team. This session will cover how the project PSC operates, the current project roadmap, and recent enhancements focused on ESA's EOEPCA, Open Science Data Catalogue and OGC API - Records. Tom Kralidis Angelos Tzotsos https://talks.osgeo.org/foss4g-2022/talk/3DTFSV/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/ddecc785-5bda-4786-a362-2686c567076bhttps://video.osgeo.org/w/4gam2HnATkNAhjQGV1fMEThttps://video.osgeo.org/lazy-static/thumbnails/0dd27be2-021d-4454-a18b-4fef068c72b4.jpgFOSS4G 2022 | Geospatial and Apache Arrow: accelerating geospatial data exchange and computeThe Apache Arrow (https://arrow.apache.org/) project specifies a standardized language-independent columnar memory format. It enables shared computational libraries, zero-copy shared memory, streaming messaging and interprocess communication without serialization overhead, etc. Nowadays, Apache Arrow is supported by many programming languages. Geospatial data often comes in tabular format, with one (or multiple) column with feature geometries and additional columns with feature attributes. This is a perfect match for Apache Arrow. Defining a standard and efficient way to store geospatial data in the Arrow memory layout (https://github.com/geopandas/geo-arrow-spec/) can help interoperability between different tools and enables us to tap into the full Apache Arrow ecosystem: - Efficient, columnar data formats. Apache Arrow contains an implementation of the Apache Parquet file format, and thus gives us access to GeoParquet (https://github.com/opengeospatial/geoparquet) and functionalities to interact with this format in partitioned and/or cloud datasets. - The Apache Arrow project includes several mechanisms for fast data exchange (the IPC message format and Arrow Flight for transferring data between processes and machines; the C Data Interface for zero-copy sharing of data between independent runtimes running in the same process). Those mechanisms can make it easier to efficiently share data between GIS tools such as GDAL and QGIS and bindings in Python, R, Rust, with web-based applications, etc. - Several projects in the Apache Arrow community are working on high-performance query engines for computing on in-memory and bigger-than-memory data. Being able to store geospatial data in Arrow will make it possible to extend those engines with spatial queries. Joris van den Bossche https://talks.osgeo.org/foss4g-2022/talk/BSY973/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/1a6954f0-be64-4381-85db-8c9e43710c73https://video.osgeo.org/w/anU3p3vaQtrLzfmDCgokkJhttps://video.osgeo.org/lazy-static/thumbnails/27956292-bd95-4722-8138-44beac91ced0.jpgFOSS4G 2022 | Spatio-temporal Database - Creating a high availability easily scalable Spatio-…Spatio-temporal Database - Creating a high availability easily scalable Spatio-temporal database cluster with Postgres, PostGIS, and timescaleDB! I am working as the Technical Lead at Blue Sky Analytics, a climate-tech startup empowering the world’s decision-makers with accurate, real-time, and standardized climate data. All datasets that we are building here at Blue Sky Analytics, technically have one similarity - they all have a space and time component. We tried to build solutions like filling empty values in inconsistent temporal data, and dividing the data in specified time period chunks for faster queries, while these worked as POC, they were not easy to scale up. Working with structured data was much easier to understand, working on postgres with the addition of timescale and PostGIS gave us exactly what was needed. Building the solution at the database level with the existing open-source technologies has been an exhilarating experience. Imagine a dataset with hourly frequency going back years on a global level, with frequent inconsistencies, that not only you have to efficiently store but that should also be highly accessible in combination with other such datasets. If not for the open-source, we would not have been able to answer questions like: - How much have the lakes shrunk between the years 2010-2020 on a yearly basis? - Finding GHG emissions from biomass burning of "*all US states, for the last 10 years on a monthly, weekly, daily basis***".** Leveraging other open source solutions like h3-pg indexing also helped us to reduce the query time by an exponential factor for global level queries! While the database sounds pretty amazing, another challenge was putting it all together and deploying it on the cloud, which was a whole another challenge. The most intuitive solution was to deploy a bunch of Postgres instances. While it was not so hard to implement the basics, it became almost impossible to scale up or down, install rolling updates, a...https://video.osgeo.org/videos/embed/4bf0f04f-ffd0-4eba-881d-efb6482a1544https://video.osgeo.org/w/1mjJiCTBufoJLa7VL9FXPohttps://video.osgeo.org/lazy-static/thumbnails/23a1b7ff-c28c-4b24-a8b7-5e8d75de22ef.jpgFOSS4G 2022 | MapStore and geOrchestra, a match made in heavenWork started at the end of 2019 to integrate MapStore (https://mapstore.readthedocs.io/en/latest/) as a WebGIS viewer (https://mapstore.geosolutionsgroup.com/mapstore/#/) for the geOrchestra SDI (https://www.georchestra.org/) (a free, open source, modular and interoperable Spatial Data Infrastructure software born in 2009 to meet the requirements of the INSPIRE directive in Europe). The work, led by GeoSolutions (https://www.geosolutionsgroup.com/), was funded by Rennes Mètropole (https://metropole.rennes.fr/) with the goal to meet the expectations of the large geOrchestra community for a new, more ergonomic, modular and customizable WebGIS based on updated technologies. The project also triggered a significant evolution of the MapStore product by developing several interesting new tools and enhancements to the MapStore framework. Thanks also to this powerful integration MapStore significantly increases its strengths by opening the door to further and more advanced developments and evolutions. Below is a list of main enhancements and new features that have been part of the integration: - Application Context Manager: an administrative tool designed to build and configure MapStore's viewers - General evolutions of common existing tools in MapStore to enrich the user experience: Map viewport enhancements, CRSs management, TOC, translations, styling of layers, advanced measure tool, layer metadata, various catalog tool extensions to support additional data sources (like TMS, WFS etc), Attribute Table enhancements for the editing mode and more - Enhancements on the MapStore security tier aimed to the integration - Extension Manager: extensions are plugins that can be distributed as a separate package (a zip file), and be installed, activated and used at runtime in an existing MapStore installation - MapStore Data Directory: to make more portable and manageable the MapStore configuration and installed extensions The first integration received positive feedback...https://video.osgeo.org/videos/embed/02d66af4-573a-44c4-b142-46b475df1cd0https://video.osgeo.org/w/rvSxPEYLMbwANBpNBLXLFQhttps://video.osgeo.org/lazy-static/thumbnails/52bd8e03-4221-4c2a-ae4f-b97070008090.jpgFOSS4G 2022 | Joint ESA-NASA Multi-Mission Algorithm and Analysis Platform (MAAP)The scientific community is faced with a need for greatly improved data sharing, analysis, visualization and advanced collaboration based firmly on open science principles. Recent and upcoming launches of new satellite missions with more complex and voluminous data, as well as the ever more urgent need to better understand the global carbon budget and related ecological processes, provided the immediate rational for the ESA-NASA Multi-mission Algorithm and Analysis Platform (MAAP). This highly collaborative joint project of ESA and NASA established a framework between ESA and NASA to share data, science algorithms and compute resources in order to foster and accelerate scientific research conducted by ESA and NASA EO data users. Presented to the public in October 2021, the current version of MAAP provides a common cloud-based platform with computing capabilities co-located with the data, a collaborative coding and analysis environment, and a set of interoperable tools and algorithms developed to support the estimation and visualization of global above-ground biomass. Data from the Global Ecosystem Dynamics Investigation (GEDI) mission on the International Space Station and the Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) have been instrumental in the first products of MAAP including the first comprehensive map of Boreal above-ground Biomass and a current Global Biomass Harmonization Activity, but the platform is also being specifically designed to support the forthcoming ESA Biomass mission and incorporate data from the upcoming NASA-ISRO SAR (NISAR) mission. While these missions and the corresponding research which includes airborne, field, and calibration/validation data collection and analyses, provide a wealth of data and information relating to global biomass estimation, they also present data storing, processing and sharing challenges. The NISAR mission alone will produce about 80TB/day. These large data volumes present a challenge that would oth...https://video.osgeo.org/videos/embed/cea03002-ec22-44d5-8c0a-866f386d756ehttps://video.osgeo.org/w/haUFnoJF5ZS7FTmsxiQTpxhttps://video.osgeo.org/lazy-static/thumbnails/9f5d1cca-8572-476f-9e91-a298ccd2fc11.jpgFOSS4G 2022 | Spatial data processing with workflow enginesWorkflow engines like Apache Airflow are commonly used in data engineering nowadays. They provide an infrastructure for setting up, executing and monitoring a defined sequence of tasks, arranged as a workflow application. Tasks and dependencies are defined in a declarative way or in a programming language like Python. Airflow established using directed acyclic graphs (DAGs) to manage workflow orchestration. This talk compares a selected subset out of the huge number of available Open Source workflow engines, which are especially suited for workflows containing spatial data processing. It compares the well known Apache Airflow engine with Dagster, an other solution using DAGs and a BPMN-based workflow engine using Celery as distributed task queue. In the same space there is the new OGC API - Processes standard which is a modern REST API for wrapping computational tasks into executable processes. This talk gives an overview of the API and shows possible integrations with available workflow engines. Pirmin Kalberer https://talks.osgeo.org/foss4g-2022/talk/US3PDH/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/82f4607e-f32b-4f4b-ab5b-bbc7bc77dcf1https://video.osgeo.org/w/vWEzh3WL8hHwRqw1KQSvyZhttps://video.osgeo.org/lazy-static/thumbnails/79e0b775-ca8a-42e1-9549-c2ed9ca621eb.jpgFOSS4G 2022 | OpenAerialMap V2 Design and DevelopmentOpenAerialMap.org (OAM) was built in 2015 to serve as a platform and tools for sharing openly licensed satellite and aerial imagery. For Humanitarian OpenStreetMap Team (HOT) and its partners, open imagery has been critical for disaster response and preparedness mapping projects. Those images have traditionally been difficult to share and access because of the large file sizes and technical skills required to publish them online. Since its inception, OAM provides an easy means of contributing to and accessing a large repository of open imagery, with over 11,000 images added. The OAM browser is designed to easily index, visualize and filter images, while the data itself is stored in Cloud Optimized GeoTIFF (COG) format in the Open Imagery Network, a federated network of highly available imagery buckets from different cloud providers. OpenAerialMap is the only platform built on open-source software that allows anyone to upload and share aerial imagery of anywhere on Earth. With advances in drone mapping technologies and their proliferation in places where cost and access used to be a limiting factor, there are now massive amounts of images that can be easily made available through OAM. Once uploaded, all imagery becomes instantly accessible via scalable TMS and WMTS services for mapping in OpenStreetMap or for any other use. Since its creation, OAM has been democratizing high resolution Earth observation and promoting the sharing of aerial imagery through open data licenses. This year HOT joined with Kontur to take a fresh look at OAM and redesign the platform. Using modern, equitable, human-centered design principles, we evaluated how this tool could be used to better support HOT’s vision that everyone has access to high quality map data and can use that data responsibly to improve their lives and their communities. The development will build on and integrate emerging standards for geospatial data such as the Spatio-Temporal Asset Catalog (STAC) specification. A...https://video.osgeo.org/videos/embed/f27af4e5-ae24-4f83-9534-fae49cfa423dhttps://video.osgeo.org/w/wW6C35eMtjUz2rpfiW4ENchttps://video.osgeo.org/lazy-static/thumbnails/746654f4-d30e-4601-b4f9-ec5b0a357772.jpgFOSS4G 2022 | Postgis Topology to secure data integrity - Lars OpsahlPostgis Topology to secure data integrity, simple API and clean up messy simple feature datasets. In Postgis Topology a merge of two surfaces does not involve spatial operations, since the surface to border relation has foreign key structures in the database. This means that the border of the new object is spatially not touched/changed when two surfaces are merged. With simple feature the common border must be computed on the fly, which again may involve snapTo and cause tiny overlaps and gaps. With Postgis Topology you can easily make an API where the client only sends new borders which is a key issue to secure data integrity. This secures that old border are not are not moved by a client error or the by simple transport format, because existing points are never not passed back to the server. Postgis Topology makes it easy for the server to work with those new borders(delta), because there are standard methods for this in Postgis Topology and all relations between border and surfaces are stored in the database. Postgis Topology also has validation routines in addition to using standard database constraints to secure a healthy system. The principles that Postgis Topology is based on was used in spatial system many years ago, but one problem was to keep the border line work nice and clean and not end up in a spaghetti. So one of the first things we did together with Sandro Santilli was to create methods on top of Postgis Topology to avoid this, by throwing away any border parts that does not contribute to a new “valid” surface. Postgis Topology is built on a relational database model that is based on SQL-MM part 3. Your own domain data are easily linked to border, surface objects with more. For instance to check domain attributes on a surface on the other side of a border is not spatial query but a standard relational query. The following projects will also be touched in this talk: https://gitlab.com/nibioopensource/pgtopo_update_sql (Functions...https://video.osgeo.org/videos/embed/fa7fc9a2-48df-4e25-9842-f99c325a9d47https://video.osgeo.org/w/dZ38xVhcQXiCGmm6EtVhC9https://video.osgeo.org/lazy-static/thumbnails/6686ae7e-c6f3-48f1-929b-849a786f2ea1.jpgFOSS4G 2022 | Designing dynamic forms in QGIS Desktop with expressionsThis presentation will show tips and tricks how to design dynamic and relatively complex forms in QGIS desktop - with the help of the drag and drop form designer, widget configurations, dynamic expressions, data-defined widget visibility, default values, constraints, embedded forms, relations, actions and more. In addition, we will show how you can use spatial joins from other layers to automatically fill in data from independent but spatially related layers. You will be walked through an application developed for the management of biodiversity subsidies in the Kanton of Solothurn, Switzerland. The application allows to collect data from eligible areas in the canton's biodiversity programme. Farmers and foresters can apply for separate subsidies for biodiversity support if the areas and their management methods meet certain criteria. The QGIS based application allows to collect data, automatically assigns parcel numbers, place names, community names, etc. and allows to define usage restrictions and record maintenance measures. Interfaces exist for a reporting generator (contract generation) and an SAP based disbursement system for the payment of subsidies. In the presentation we will present the result of the development work and show some tips and tricks with forms, widgets, expressions and actions and how we stitched everything together. Andreas Neumann https://talks.osgeo.org/foss4g-2022/talk/XEZ8HX/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/69245f1f-c77c-40b4-a082-c5b2fa5d7868https://video.osgeo.org/w/qpkfgWMgJ2F6H8mcYdYtPbhttps://video.osgeo.org/lazy-static/thumbnails/c1bdad3c-7adf-4d76-b5ca-0c28eb2d5f8c.jpgFOSS4G 2022 | Write once, run anywhere: safe and reusable analytic modules for WebAssembly,…Write once, run anywhere: safe and reusable analytic modules for WebAssembly, Javascript, or more! The proliferation of client-side analytics and on-going vulnerabilities with shared code libraries have fueled the need for better safety standards for running executables from potentially unknown sources. WebAssembly (WASM), a compilation target that allows lower-level languages like Rust, C, and Go to run in the browser or server-side at near-native speeds. Much like Docker changed the way we run virtualized workflows, WASM runtimes create safe virtual environments where access to the host system is limited. In combination with a new free and open source full-stack geospatial platform, Matico, efforts are underway to enable portability across workflows and applications to more easily use WASM modules. WASM implementations of GDAL are in the works, and powerful open source Rust geospatial libraries are easily packaged for web usage through Wasm-Pack. Additional geo WASM libraries like jsgeoda provide spatial indices, binning, and autocorrelation functions. Shareable code can be a recipe for security vulnerabilities and attack vectors, potentially exposing personal or critical information, particularly if there is the opportunity to run code server-side. WASM implementation alleviates this by requiring access from the Virtual Machine (VM) to be limited and explicit, and for Javascript developers the lightweight AssemblyScript language is relatively familiar. An upcoming Javascript feature called ShadowRealms may enable even simpler and more familiar implementations to safely run Javascript code shared between module authors. These developments lay the groundwork for a hybrid front- and backend geospatial ecosystem of shareable code snippets and analytic functions, much like have emerged in the UI component Javascript ecosystem. The combination of emerging features positions web geospatial analytics and This talk explores the implementation and performance of runn...https://video.osgeo.org/videos/embed/c59d4b9e-cfd5-4b45-b9ad-189f57fdc1bchttps://video.osgeo.org/w/tCkQ2kLkp9MdoBEMqmftuihttps://video.osgeo.org/lazy-static/thumbnails/68035c07-94f3-4c83-baf2-8e9c9af48c11.jpgFOSS4G 2022 | PgMetadata - A QGIS plugin to store the metadata of PostgreSQL layers inside the…PgMetadata - A QGIS plugin to store the metadata of PostgreSQL layers inside the database, and use them inside QGIS PgMetadata is made for people using QGIS as their main GIS application, and PostgreSQL as their main vector data storage. The layers metadata are stored inside your PostgreSQL database, in a dedicated schema. Classical fields are supported, such as the title, description, categories, themes, links, and the spatial properties of your data. PgMetadata is not designed as a catalog application which lets you search among datasets and then download the data. It is designed to ease the use of the metadata inside QGIS, allowing to search for a data and open the corresponding layer, or to view the metadata of the already loaded PostgreSQL layers. By storing the metadata of the vector and raster tables inside the database: - QGIS can read the metadata easily by using the layer PostgreSQL connection: a dock panel shows the metadata for the active layer when the plugin detects metadata exists for this QGIS layer. - QGIS can run SQL queries: you can use the QGIS locator search bar to search for a layer, and load it easily in your project. The administrator in charge of editing the metadata will also benefit from the PostgreSQL storage: - PostgreSQL/PostGIS functions are used to automatically update some fields based on the table data (the layer extent, geometry type, feature count, projection, etc.). - The metadata is saved with your data anytime you backup the database - You do not need to share XML files across the network or install a new catalog application to manage your metadata and allow the users to get it. The plugin contains some processing algorithms to help the administrator. For example: - a script helps to create or update the needed "pgmetadata" PostgreSQL schema and tables in your database - a algorithm creates a QGIS project suitable for the metadata editing. This project uses the power of QGIS to create a rich user interface al...https://video.osgeo.org/videos/embed/dfb9bd2d-1a99-4995-b457-5d66228382e5https://video.osgeo.org/w/fLYAwqRLn7poJWZgxrjqXhhttps://video.osgeo.org/lazy-static/thumbnails/c71d0d1b-725a-4973-a47c-39cdece77e4d.jpgFOSS4G 2022 | pygeofilter: geospatial filtering made easy## Abstract pygeofilter (https://github.com/geopython/pygeofilter/) is a library to support the integration of geospatial filters. It is split into frontend language parsers (CQL 1 + 2 text/JSON, JFE, FES) , a common Abstract Syntax Tree (AST) representation and several backends (database systems) where the parsed filters can be integrated into queries. ## Parsers Currently pygeofilter supports CQL 1, CQL 2 in both text and JSON encoding, OGC filter encoding specification (FES) and JSON filter expressions (JFE) as input languages. Additionally pygeofilter provides utilities to help create parsers for new filter languages. The filters are parsed to an AST representation, which is a common denominator across all filter capabilities including logical and arithmetic operators, geospatial comparisons, temporal filters and property lookups. An AST can also be easily created via the API, if necessary. ## Backends pygeofilter provides several backends and helpers to roll your own. Built-in backends are for Django, SQLAlchemy, raw SQL, (Geo)Pandas dataframes, and native Python lists of dicts or objects. ## Usage pygeofilter is used in several applications, such as PyCSW (https://pycsw.org/), EOxServer (https://github.com/EOxServer/eoxserver/) and ogc-api-fast-features (https://github.com/microsoft/ogc-api-fast-features/) Fabian Schindler-Strauss https://talks.osgeo.org/foss4g-2022/talk/GPPKXW/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/77a78b91-21b6-41b5-ace2-30a0dab621e6https://video.osgeo.org/w/6PYAPV8oUc3H45sYwh2wS5https://video.osgeo.org/lazy-static/thumbnails/4a7e3448-18c0-4d8b-a5f1-30700d15fab3.jpgFOSS4G 2022 | Rockfall Quantitative Risk Assessment at a medium-large scale based on FOSS4G tools.…Rockfall Quantitative Risk Assessment at a medium-large scale based on FOSS4G tools. An example of applications in the North-Western Alps Rockfall Quantitative Risk Assessment at a medium-large scale based on FOSS4G tools. An example of applications in the North-Western Alps Rockfall risk analysis and mitigation activities are key points in land management in mountain areas and along coastal cliffs, aimed at the protection of population, structures, infrastructures and involved economic activities such as viability, industry and tourism. Rockfall is a complex landslide phenomenon, widespread over large areas and characterised by high variability. As a function of the amount of available data to describe such variability, the risk analysis can be carried out at different levels of detail, i.e. at different reference scales, each one characterised by specific objectives, procedures, and input data (Fell et al, 2008). At the detailed scale (＞ 1: 5000), in order to design risk mitigation works, it is necessary to analyse localized rockfall phenomena through specific methodologies requiring a careful identification of danger scenarios, a statistical description of the parameters, and sophisticated probabilistic calculation tools. At the medium-large scale (1: 5000 - 1: 25000), on the contrary, due to the difficulty in finding detailed information over larger slope portions, it is possible to analyse widespread instability sources based on simplified mechanical considerations and several spatial approximations. Such large scale analyses can be used as a management tool for territorial planning and can be easily implemented in GIS software. This work presents a medium-large scale Rockfall Quantitative Risk Assessment procedure fully developed within the QGIS environment. The procedure is based on the IMIRILAND methodology (Castelli and Scavia, 2008), which allows to obtain risk maps through integrated and consequential phases and simple raster calculations. The main st...https://video.osgeo.org/videos/embed/2f308821-3a25-463f-81be-8a8811510e78https://video.osgeo.org/w/4D6bgb8GmMU5GajZ3p7BMyhttps://video.osgeo.org/lazy-static/thumbnails/4c1cfce3-be57-43a9-ac83-17eecccc2d59.jpgFOSS4G 2022 | Aerial Images to Maps: Technological Advancements with OpenDroneMapOpenDroneMap is an ecosystem of free and open source software to collect, process, analyze and display aerial data. In this talk we will present an exciting overview of what's new in the ecosystem, where the project is headed and how you can benefit from using it. In particular, will first provide a brief overview of the ecosystem, what the tools are and how you can start making maps in minutes. A short introduction to the "magic" of the processing pipeline will be presented. We will then touch on state-of-the-art advancements in photogrammetry technology within ODM, how we benefit from a global team of researchers and how that has allowed us to match (and often times exceed) proprietary software results. After a presentation of the technological advancements, we will discuss the importance of people, or how prioritizing people over code and investing into the community has affected both participation and adoption. Piero Toffanin https://talks.osgeo.org/foss4g-2022/talk/LJWMZW/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/1d792038-9185-42d5-a70d-86488ecf651ehttps://video.osgeo.org/w/7ja9g4Ad2cFDzukf3PyYN1https://video.osgeo.org/lazy-static/thumbnails/59ae8ce4-d77c-4fea-aee5-80782c93576c.jpgFOSS4G 2022 | Web Mapping with Global Map ProjectionsWeb Mapping as a technology and a method is now twenty years old. Within the OSGeo Community, it has been fostered by projects such as OpenLayers and Leaflet. They evolved tightly intertwined with the framework imposed by free data providers, initially around commercial efforts like Google and later OpenStreetMap. While useful in providing an easy entry to web mapping, and convenient background layers, these data providers also triggered a regression towards centuries-old cartography techniques, in particular the Mercator projection. This has become a major hurdle to web mapping, particularly concerning global data. The Mercator map projection was created to aid sea faring in the XVI century and was rendered useless with the advent of global positioning systems. Its use in cartography may still be acceptable at large scales, neighbourhood or city level, but at smaller scales it imposes severe distortion to distances and areas. For global datasets in particular, the Mercator projection is unusable, for it cannot represent the full surface of the planet. Web mapping developers may work around this framework with libraries such as D3 or proj4js, and by setting up bespoke base layer services. But in doing so they face a different problem: the deep dependence on the CRS index created by the European Petroleum Survey Group (EPSG). Primarily concerned with the survey and extraction of fossil fuels, the EPSG leans heavily on local or regional CRSs, largely ignoring global CRSs. Hardly any of the more than 100 map projections and coordinate systems developed since the beginning of the XX century feature in the EPSG index. Landmark projections such as the Eckert series, the Homolosine, Eumorphic, Dymaxion or the Snyder series were never included in the EPSG index. Not even the classical Mollweide projection (one of the turning points towards modern cartography) appears in the EPSG index. With a FOSS4G stapple such as MapServer, this forces the leveraging of map (re-)p...https://video.osgeo.org/videos/embed/331fdaa1-aa12-4695-b143-2e0ccebe917chttps://video.osgeo.org/w/n94BGDM9N6UURd7EbBnQHShttps://video.osgeo.org/lazy-static/thumbnails/42ba40b4-5d37-4159-96af-021fb7ef0752.jpgFOSS4G 2022 | Manipulating text with PostgreSQL - lesser known PG jewelsPostgreSQL is the most advanced opensource RDBMS. As GIS folks, you most probably use it in combination with PostGIS, its Geospatial plugin. When dealing with Geospatial data, we usually focus on geometries. But most of feature attributes are text data. Of course, filtering on these text data with standard SQL capabilities is a day-to-day operation for database users. But PostgreSQL provides much more capabilities when it comes down to text data management. In this presentation, we will go through a few of them. After a quick look at standard text functions in PostgreSQL, we will discover the lesser known fuzzy matching modules : - `pg_trgm` extension allows for string searches using trigraphs to determine a similarity rank between text items - `fuzzystrmatch` extension provides fuzzy matching functions like soundex, Levenshtein, metaphone Then, we will explore *Full Text Search ( FTS )* PostgreSQL capabilities. Last but not least, we will peek inside PostgreSQL collation concept, which has nothing to do with your lunch. Collations are a powerful feature in PostgreSQL allowing to adapt the way you deal with text data according to the localization. Like trying to answer this - apparently - obvious question : is '12' before or after '2' ? And, because we can, display all of this on a map :-) Vincent Picavet https://talks.osgeo.org/foss4g-2022/talk/QEHLM7/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/ab301715-6fc7-4e55-bf9a-6b68278c5974https://video.osgeo.org/w/gqAkjd7nxbjihMhsfBMzdHhttps://video.osgeo.org/lazy-static/thumbnails/857967c4-d784-4e79-ae1e-d2356b4cbd12.jpgFOSS4G 2022 | A Moodle based complex system to teaching spatial data processingOpen-source solutions in geoinformatics have gradually come into the focus of attention over the past decades, becoming of the most well-promising opportunities in tertiary education. It is indubitable that students have to develop their skills to find, apply and contribute to the existing open-source opportunities, besides developing skills regarding coding and programming logic.  At the Budapest University of Technology and Economics, a complex system has been developed to support students on this matter. This system is fully based on open-source software and free cloud services. Consequently, all the teaching materials have creative common licenses supported by the use of open source software.  The main entry point of the educational materials is Moodle, considered as one of the most popular learning management systems. The majority of the source codes and explanation texts/notes used for teaching are published in Jupyter notebooks, stored on personalized GitHub pages. For opening and testing the Jupyter notebooks, the students can use Google Colab.  Another challenge worth mentioning is the continuous assessment evaluation format. Moodle supports the creation of tests based upon a wide variety of question types (e.g. multiple choice, true/false, drag and drop markers, etc), which are stored in a question bank. The test is generated by randomly selecting a given number of questions; therefore, taking the test a couple of times is highly recommended. As stated by many, this way of self-studying is popular among students these days and efficient in achieving remarkable progress.  Our presentation shares either the developed system or the gained experience over the recent years. Zoltan Siki https://talks.osgeo.org/foss4g-2022/talk/CQFH3J/ #foss4g2022 #generaltrack #Educationhttps://video.osgeo.org/videos/embed/7ce816be-5df4-41c1-9e68-d444599ab0fdhttps://video.osgeo.org/w/beu95t528t85yfM3JSKwu6https://video.osgeo.org/lazy-static/thumbnails/02000350-6352-4357-9986-df86c2b65709.jpgFOSS4G 2022 | Update on Modular OGC API Workflows specificationsUpdate on the status of OGC API standards and draft specifications enabling client-driven execution of processing workflows, supporting on-demand and ad-hoc selection of data and algorithms. Overview of the capabilities enabled by OGC API - Tiles, OGC API - Coverages and Processes – Part 3: Workflows and Chaining. Demonstration of both a server and a client implementing these specifications. The Workflows and Chaining draft extension specification to OGC API – Processes enables ad-hoc execution of workflows integrating processes and data available from one or more OGC API instances. The specification allows triggering processing as a result of requesting results for a specific area and resolution of interest, which provides a simple mechanism to chain geospatial data inputs and outputs. By referring to a collection of geospatial data irrespective of a particular area, resolution or date/time of interest, workflows can be defined in a generic, re-usable manner, and processing can be performed on-demand rather than (or in addition to) as a batch execution. Such on-demand processing has the advantage of optimizing the use of computing resources and speeding up the availability of the latest available data, such as for continuously captured Earth Observation satellite imagery. The initial version of the Workflows and Chaining specification was a result of a GeoConnections 2020-2021 project funded by Natural Resources Canada, which also supported the development of a unified OGC API driver in GDAL allowing to directly visualize the results of such workflows in QGIS. OGC API – Tiles is the specification succeeding to WMTS in the OGC API family, leveraging the concept of 2D Tile Matrix Sets. In addition to providing tiles of maps or imagery, Tiles can also be used to distribute raw data tiles, including coverage and vector tiles. Using tiles to deliver results and trigger execution of processing workflows can facilitate caching while allowing to efficiently select a...https://video.osgeo.org/videos/embed/52dd65a4-b1f2-4bd5-a97f-77956ef679adhttps://video.osgeo.org/w/nDLjd58daBfPsqVfVQwQCjhttps://video.osgeo.org/lazy-static/thumbnails/1146e31a-a4bf-4ab2-84bd-017c78f5a762.jpgFOSS4G 2022 | DistrictBuilder, or how TopoJSON was the cause of and solution to all of our problemsDistrictBuilder (districtbuilder.org) is a web-based, open-source tool for collaborative political boundary redistricting or redistribution. In order to support creating legally valid districts, DistrictBuilder allows advocates and legislators to define districts using geometries as small as a single census block, which are very numerous – a medium-sized state will have hundreds of thousands of them. Users can create districts from any combination of geometries, and we need to be able to generate statistics and dissolve them into district geometries in near real-time. By reformatting our data as TopoJSON, a file format and Node.js library for working with topological data, we are able to dissolve over half a million census blocks into legislative districts in only a few seconds! I’ll discuss how we use TopoJSON in DistrictBuilder; the issues we encountered when using it at scale in production and how we were able to overcome them; and the other tools we considered instead of TopoJSON and how they compared in terms of performance. I’ll also go over our strategy for displaying and calculating metrics in real-time in the browser, using typed arrays and web-workers in combination with Mapbox vector tiles to do real-time aggregation of statistics from hundreds of thousands of features. Michael Maurizi Daniel McGlone https://talks.osgeo.org/foss4g-2022/talk/AXTEJZ/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/af55bda3-d968-447e-8da6-af40ab70d8cahttps://video.osgeo.org/w/s3ywda2y1ca9EcMpgbJAsdhttps://video.osgeo.org/lazy-static/thumbnails/24f98736-57fa-4a04-ab5a-8c68cd6dc010.jpgFOSS4G 2022 | Surveying amenities for OSM at scaleOpenStreetMap editing transitions to mobile devices. There are few editing apps, and the best ones are thematical. This year I've published "Every Door": an app specifically designed to collect hundreds of shops and amenities. I've made it with the experience of mapping in OSM, making a Telegram bot of a similar purpose, and studying geospatial UX design. I've surveyed half a thousand amenities with the bot, and even more — with this new app. In this talk we'll briefly touch on the app itself and the OSM tagging model. The main attraction would be map UX design: why you should remove the most interactivity from your maps. These are hard to use even on desktop, and a small screen provides an even bigger challenge. Can we get rid of them altogether? Let's see how working with maps can be made efficient, and how the ideas behind this app can make geodata collection apps better. Ilya Zverev https://talks.osgeo.org/foss4g-2022/talk/DTJSU3/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/d2e92267-4a92-4ec9-aa25-6df1a9d2dd88https://video.osgeo.org/w/nxjBuowFbqhSXUojw5LRjDhttps://video.osgeo.org/lazy-static/thumbnails/b0e1d579-2463-4d0b-ba52-d46bfe3b14a5.jpgFOSS4G 2022 | Geospatial Indexing with Apache Lucene and OpenSearchCome have a look under the covers at the data structures that enable geospatial and multi-dimensional indexing and search at massive scale in Apache Lucene and OpenSearch. This talk will cover not only the indexing structures considered and ultimately implemented in the Apache Lucene Open Source Project but the exceptional performance improvements and centimeter spatial accuracy obtained in the latest release. As a bonus, this talk will cover new and upcoming Spatial Analysis Aggregations and Processing available in the OpenSearch Open Source project. From tessellation to multidimension encoding and block KD trees this talk will cover the algorithms and data structures written and committed to the following open source projects: Apache Lucene (specifically the release of BKD based geo indexing https://issues.apache.org/jira/browse/LUCENE-8396) Performance benchmarks for Lucene Spatial Indexing: https://home.apache.org/~mikemccand/geobench.html Finally, we will discuss the future of the project including existing and evolving support for custom coordinate reference systems and projections, spatial regression modeling and statistics, and spatial visualizations with OpenSearch Dashboards. Nicholas Knize, PhD https://talks.osgeo.org/foss4g-2022/talk/KPQ97A/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/ae6f704f-7ae9-443f-a564-35f609c3cd7dhttps://video.osgeo.org/w/psNnnRJRqTasbtGD3Dvhwkhttps://video.osgeo.org/lazy-static/thumbnails/fd6b4baf-dd18-45de-84c4-320726ad1285.jpgFOSS4G 2022 | Effortless Aerial Data Management and Sharing: The DroneDB EcosystemDroneDB is free and open source software for geospatial data storage. It provides a novel approach to store point clouds, textured models, aerial images, orthophotos and elevation models via a dynamic filesystem index. In this talk we will present DroneDB's storage approach and how you can start using it right away. We will discuss the project's architecture and roadmap. We will also perform a showcase of the project and demonstrate its most effective use cases. We will cover how DroneDB's dynamic index can be published on the web using Registry, a cross-platform open source application which provides both a friendly user interface and a RESTful API. This enables users and GIS developers alike to access and manage the underlying data. We will showcase the ddb client, a command-line interface that enables power users to manage the index and can be used to sync, share and download remote datasets in a manner inspired by git workflows. We will show how WebODM and Registry can integrate together to create a powerful and versatile workflow for 3D reconstruction using a full opensource stack. Piero Toffanin Luca Di Leo https://talks.osgeo.org/foss4g-2022/talk/RAAYEE/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/be001a53-fe54-4ff8-ae2c-070e3e190877https://video.osgeo.org/w/6PML7bWGoXv47K1Vb4Zz8ohttps://video.osgeo.org/lazy-static/thumbnails/c9b66578-f436-460c-a04b-991cebc05f28.jpgFOSS4G 2022 | EVRYMAP - An extensible web mapping framework based on Angular, NodeJS, Leaflet and…EVRYMAP - An extensible web mapping framework based on Angular, NodeJS, Leaflet and Mapserver. It started as a way to help us publish geospatial data. It quickly morphed to something quite different. You can call it scope creep. And despite this term being close to a swear word in ICT, it turned out to be very good thing. And that's because while still serving its main purpose, which is to provide an out-of-the-box web based mapping app with all the trimmings (navigation, measure, layer control and search tools), EVRYMAP also: - Provides client-side editing tools - Provides a modular design that allows you to implement custom business logic by simply writing your own apis. EVRYMAP will consume these APIs automatically by defining them in configuration as 'modules' - Implements 1-n relationships between your spatial data and other related data. Which may come from the same or external databases - Can be run as standalone or within an iframe to spatially enable third party applications (and provides the communication mechanism) Using EVRYMAP at the core, we have also deployed a few systems in production environments as commercial apps, namely: -Landify, a mini-cadastre for organizations with a real-estate portfolio. It allows users to easily review, catalogue, and manage real estate data (land parcels and buildings). -MapTheYA, a map-based information system for the management of water networks including topology checks. -Building permits/Expropriations Management Examples of not "map-first" systems, meaning that while the bulk of their functionality are text/form based (applying for electronic copies of documents) they also include embedded maps to improve user experience. This presentation will provide a brief introduction to EVRYMAP, the way it works, how you can configure and extend its functionality and what we plan for the future. And being the new kid on the block, ask the community for input and feedback! Eleni Valtopoulou https://talks.osgeo.o...https://video.osgeo.org/videos/embed/2f29d9f3-c0ea-4c6f-84ac-faea51e8fbe8https://video.osgeo.org/w/mTJXSkTby8nM2ru4YhqVQshttps://video.osgeo.org/lazy-static/thumbnails/b49afe45-45f4-45cd-b8e7-3b56961b3770.jpgFOSS4G 2022 | MDAL: mesh data in QGISMesh Abstraction Library (MDAL) has become an integral part of QGIS over the recent years. MDAL is used in QGIS to parse meteorological and hydrological data. MDAL is an open source library and recently has joined the OSGeo family as a Community project. MDAL data can be 1-dimensional, 2D or stacked 3D data. QGIS has been extended to render all those types of data in 2D and 3D map canvases. Once data are loaded in QGIS, users can easily style and explore temporal dimension of the data using QGIS generic tool. Additional plugins have been developed to leverage on mesh data in QGIS to slice and dice the mesh data. In addition to visualising the data, new tools have been developed to directly edit the unstructured mesh data in QGIS. Users can edit geometries and values of the faces and vertices of the mesh data. The built-in validation tools for mesh editing, ensure the resulting mesh is topologically correct during and after mesh editing operations. Saber Razmjooei https://talks.osgeo.org/foss4g-2022/talk/8EWA8W/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/a9302eb8-d4d0-45f9-8379-5239245c9aeehttps://video.osgeo.org/w/go1euwRqxjGnCveFQa681mhttps://video.osgeo.org/lazy-static/thumbnails/9dcc9c2d-93a3-40a9-ac65-b5dac92daf02.jpgFOSS4G 2022 | Automating Generating a Web Map from Online Tabular Data: UC Davis Potential Worksite…Automating Generating a Web Map from Online Tabular Data: UC Davis Potential Worksite Exposure Interactive Web Map Tables are a great way to store data and this format is often used to make data available for the public on websites. While these tables technically meet their intended goal of sharing data, they do not make it easy to understand the spatial and temporal patterns in the data they contain. In this talk, I will demonstrate how an automated toolchain of web scraping and text processing in R, and interactive visualization in Leaflet is automated with GitHub Actions and applied to aid data interpretation and generate new insights from a daily-updated online tabular dataset using a case study of the University of California Davis’ Potential Worksite Exposure Reporting data for COVID-19. In the United States, California Assembly Bill 685 (AB685) requires employers in the state of California to notify employees of potential worksite exposures to COVID-19 to the geographic scale of individual buildings. The University of California Davis meets this requirement by listing any potential exposures on a website, giving the date reported, the dates of the potential exposure, and the building name as reported by the employee. To make a map from this data, the dates and building names had to be standardized and joined to a vector layer of campus buildings before they can be added to an interactive Leaflet map. Because the data updates daily, the whole process needed to be automated so no one had to run the scripts every day to update the map. The result is a map that gives uses a much clearer understanding of the spatial and temporal distribution of potential exposures to COVID-19 on campus. Michele Tobias https://talks.osgeo.org/foss4g-2022/talk/DAST9N/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/7c8b9610-fc5d-4b10-9c71-64c6112bf7a8https://video.osgeo.org/w/f9jfTpvJBaCUqCPUkaWrmzhttps://video.osgeo.org/lazy-static/thumbnails/5e94779e-8be8-4721-9fd4-783c80e31750.jpgFOSS4G 2022 | Using GRASS GIS in Jupyter Notebooks: An Introduction to grass.jupyterAlthough integration of GRASS GIS with Python has been well supported for several years, using GRASS with computational notebooks such as Jupyter Notebooks was inconvenient up until recently. Computational notebooks allow users to share live code with in-line visualizations and narrative text, making them a powerful interactive teaching and collaboration tool for geospatial analytics. In this talk, we’ll introduce a new GRASS GIS package, grass.jupyter, that enhances the existing GRASS Python API to allow Jupyter Notebook users to easily manage GRASS data, visualize data including spatio-temporal datasets and 3D visualizations, and explore vector attributes with Pandas. We’ll demonstrate how to create interactive maps through integration with folium, a leaflet library for Python, and we’ll look at an example use case: using notebooks to teach an advanced geospatial modeling course for graduate students at NC State University. Grass.jupyter is still under active development but is available experimentally in GRASS version 8.0 and officially with GRASS version 8.2. Caitlin Haedrich Vaclav Petras https://talks.osgeo.org/foss4g-2022/talk/GV7AJG/ #foss4g2022 #generaltrack #Educationhttps://video.osgeo.org/videos/embed/72892478-afef-406b-bf8e-1f72dad5a88dhttps://video.osgeo.org/w/bAQBwTyvBthYNFvfWRQSVUhttps://video.osgeo.org/lazy-static/thumbnails/f92301ea-a7f7-4f50-90aa-27dc2ce19afa.jpgFOSS4G 2022 | Teaching GIS Through Geospatially Aware Agent-Based ModelingTeaching GIS Through Geospatially Aware Agent-Based Modeling. AgentScriptGIS is a web-based platform that provides a geospatially aware agent-based modeling programming environment. The goal is to enable programmers to generate geo-agent-based models with minimal barriers to entry. The platform provides a programming environment that includes an agent-based modeling library (agentscript.org), a geo-aware programming context, and a map display (leafletjs.com). The platform was designed to reduce the overhead needed for programmers to begin modeling. We want to empower modelers who come from a wide array of backgrounds with the ability to write and animate geospatial models with minimal time and effort. The intended audience of this platform are users who want to explore geospatial and agent-based modeling but may have little to no experience interacting with these types of models. We use agent-based modeling as a basis for our platform since it is a popular way to teach programming and can model a wide spectrum of problems. Popularized by NetLogo and StarLogo, agent-based modeling is used in a variety of educational contexts from elementary school studies to graduate level research. To maximize deployability, our agent-based modeling library AgentScript was written in JavaScript and built to be leveraged by the web browser. GIS software is typically professional in nature and leans on being sophisticated and precise, but is often overburdened with complexity. The hobbyist GIS programmer faces a steep learning curve when starting, including choosing appropriate tools and information sources, deciding on data formats and understanding projections. Our platform intends on removing these burdens on the user by trading versatility for simplicity and ease of use. We are preparing our platform to be used initially in academia, but can see it being applied in a variety of settings. AgentScriptGIS focuses on facilitating new ways to engage students, teachers and model...https://video.osgeo.org/videos/embed/55d8a225-0d6c-4d91-b357-c9788c97ff8ehttps://video.osgeo.org/w/xoXUa3QF7gxVG5sRQTAmEFhttps://video.osgeo.org/lazy-static/thumbnails/93130ecf-02bf-408a-a950-98c16d6f374d.jpgFOSS4G 2022 | QGIS Temporal Controller with WMS-T layersQGIS is a freely downloadable open source GIS software suite that contains a desktop option, mobile, and web component. QGIS is free to download and use, it is released with a GPL v3 license which is a non commercial license allowing users to download and use it without concerns compared to other commercial GIS software. Up to QGIS version 3.12 there was no core support for temporal data, users were required to install a plugin called TimeManager in order to visualize temporal data inside QGIS. Through a collaboration between the Canadadian Government, Kartoza and North Road, efforts were made to add core support for temporal data inside QGIS. As a result the QGIS version 3.14 was released with a Temporal Controller feature which was now responsible for handling all the temporal layers inside QGIS. The initial role out of the Temporal Controller contained support for raster, vector and WMS-T layer providers. This session will explore how to use the QGIS Temporal Controller to do animation and visualization of the WMS-T layers, this will include how to setup a standard WMS server that will be serving time based layers. In the session we will also learn about the Temporal Controller API, how to use it through QGIS python bindings and create a simple QGIS plugin that will show the API in action. Samweli Mwakisambwe https://talks.osgeo.org/foss4g-2022/talk/FCYQXJ/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/fe401c4b-c81b-4c5e-a9b8-7e9a81fd4453https://video.osgeo.org/w/22hSWgG8v66LLWUnsH7VPqhttps://video.osgeo.org/lazy-static/thumbnails/02b3f7d4-4c3c-4b15-afb3-db39d5a809cb.jpgFOSS4G 2022 | MapComponents, a new component framework for developing web map applicationsMapComponents is a new component framework to quickly and easily build dynamic geospatial web apps. It includes React front-end components for all kinds of projects, from small apps with a narrow and specific focus up to complex geospatial suites for the web. Server-side components are also planned to aid the development of flexible backend services. MapComponents - is a modular framework to create tailored geospatial web apps built upon modern webbrowser technology - can be used to visualise and analyse geo data - can be used for desktop and mobile applications (online and offline; progressive web apps (PWA)) - provides independent components which can be combined into full-fledged geospatial web applications (e.g. dashboards, WebGIS, ...) - provides a catalog of components and example applications - uses a flexible core which theoretically supports any kind of mapping library (currently supported are MapLibre, Mapbox GL JS and OpenLayers) - is easily integrated into existing stacks - makes it easy to rapidly design and deploy a map centric web app MapComponents is developed by WhereGroup GmbH and is available under the MIT license. https://www.mapcomponents.org/ We will present the project, with its current state and goals, and will show practical examples. Astrid Emde https://talks.osgeo.org/foss4g-2022/talk/YFJNLU/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/084748b3-a880-4424-9f61-72b25337a532https://video.osgeo.org/w/rt4kD2RJ1LPnFMLZMBfpCKhttps://video.osgeo.org/lazy-static/thumbnails/f58cb15b-ac5c-4436-b513-17597757a985.jpgFOSS4G 2022 | State of GRASS GISThe new GRASS GIS version 8.2 is a special edition including all new features developed during Google Summer of Code 2021. One of the enhancements is the parallelization of several raster modules by means of OpenMP, an implementation of multithreading to speed up massive data processing. Another exciting new feature is much improved, the Jupyter notebook support. Here, a new python package (grass.jupyter) is available which allows to interactively visualise maps and time series given the integration with folium (https://github.com/python-visualization/folium). The graphical user interface in version 8.0 introduced faster and more streamlined startup without a need for a welcome screen. For even more convenience, version 8.2 adds an experimental single window layout with familiar look-and-feel. Related to raster data, a new metadata class called semantic labels can now be added to raster maps. Examples of semantic labels are aerial or satellite spectral bands, dataset names in remote sensing products (ndvi, evi, lst, etc), or any custom names. At community level, we have developed a student grant program and, thanks to the move to GitHub, we have welcomed numerous new contributors. Anna Petrasova Vaclav Petras Veronica Andreo Markus Neteler https://talks.osgeo.org/foss4g-2022/talk/RU7PYN/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/ce3b9b13-dade-4b22-bf43-9af65b2f3c4fhttps://video.osgeo.org/w/nA6zZsEG3Cn7kQXFbUtBSnhttps://video.osgeo.org/lazy-static/thumbnails/9dac5beb-eb3f-4854-be09-555706600a87.jpgFOSS4G 2022 | Creating Maps in GeoServer using CSS and SLDThe presentation aims to provide attendees with enough information to master GeoServer styling documents and most of GeoServer extensions to generate appealing, informative, readable maps that can be quickly rendered on screen. Examples will be provided from GeoSolutions training material (https://docs.geoserver.geo-solutions.it/edu/en/), as well as from the OSM data directory (https://github.com/geosolutions-it/osm-styles) we shared with the community. Several topics will be covered, providing examples in CSS and SLD, including: - Mastering common symbolization, filtering, multi-scale styling. - Using GeoServer extensions to build common hatch patterns, line styling beyond the basics, cased lines, controlling symbols along a line and the way they repeat. - Leveraging TTF symbol fonts and SVGs to generate good looking point thematic maps. - Using the full power of GeoServer label lay-outing tools to build pleasant, informative maps on both point, polygon and line layers, including adding road plates around labels, leverage the labeling subsystem conflict resolution engine to avoid overlaps in stand alone point symbology. - Dynamically transform data during rendering to get more explicative maps without the need to pre-process a large amount of views. - Generating styles with external tools. Andrea Aime https://talks.osgeo.org/foss4g-2022/talk/J8AEGR/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/aed2a47f-043e-46c2-939f-ea8ba7d3cc4dhttps://video.osgeo.org/w/dRec334xCi1ro48S1fXcAxhttps://video.osgeo.org/lazy-static/thumbnails/d10e2e15-b799-473e-aa2d-6e1f0917ecd6.jpgFOSS4G 2022 | MobiDataLab - Labs for prototyping future mobility data sharing solutionsMobiDataLab is the EU-funded lab for prototyping new mobility data sharing solutions. Our aim is to foster data sharing in the transport sector, providing mobility organising authorities with recommendations on how to improve the value of their data, contributing to the development of open tools in the cloud, and organising hackathons aiming to find innovative solutions to concrete mobility problems. The project consists of following main pillars: 1. Open Knowledge Base ... a portal about open mobility data which provides informations about about practices and solutions related to legal and regulatory (s.a. licenses), governance, data privacy, technical standards (for data interoperability and accessibility), and challenges for actors in the mobility domain. 2. Transport Cloud ... a cloud-based prototype platform for sharing mobility data. It facilitate users by several tool components to find, use and interact with mobility data in an open, interoperable and privacy-preserving way. 3. Living and Virtual Labs ... are the environments for the project to interact with the reference group (mobility data providers and users), b2b and endusers (s.a. data innovators, solution providers and further stakeholders in the mobility domain) to get feedback on challenges and missing pieces in the mobility data and services assets. A set of mobility use-cases, set-up by the project stakeholders and the reference group will help to trigger practical execution, innovation, and further ideas within the labs. 4. Socio-economic impact ... identifies the the current best practices in data sharing, analyses the market potential and elaborates new data sharing services and business models on that. With the heterogeneous experts project group, we are facing the challenge of mobility data sharing from different perspectives - research, privacy, data, mobility solutions, open data, services, ... . A close work with a large ...https://video.osgeo.org/videos/embed/680d3cc8-a4a7-4431-97ce-df081be922d7https://video.osgeo.org/w/jqT6u4JKXiWDXr12h2zXRehttps://video.osgeo.org/lazy-static/thumbnails/dfcf07e0-b531-40d4-bfdd-a8ce91fbfda4.jpgFOSS4G 2022 | Pedological Information System of Piedmont Region in ItalyOver the last 35 years, the IPLA has collected data on soils, both soil samples and cartographic data, to create a database (physical and digital) that represents knowledge for all stakeholders, public and private, of the composition and state of soils. Piedmontese. in the last 25 years the SIP (Pedological Information System) has been changed several times, to meet the new needs in terms of data collection but above all to update it to the new FOSS technologies. in fact, in the last 5 years we have gone from non-connected proprietary systems (DB FoxPro and Esri geoDB personal) to a single integrated system with FOSS tools: PostgreSQL / PostGIS and QGIS. An information system has therefore been created that allows technicians on the one hand to be able to collect the field data by inserting them, with a web interface in the database, and to be able to see in real time, the cartographic themes in QGIS, based on the data.just inserted and taking advantage of the geographical component of the database. Also the implementation of the survey points can be done, using in this case internal functions of the DB, both in alphanumeric way and in QGIS in a geographic way, with real-time modification of the points based on the coordinates entered by one of the two tools. And new implementations for field survey (QFiled) are under development, for the survey of the points and their visualization on the DB in real time. The pedological observations are characterized by different levels of information among which more than 5000 soil profiles are the basic and fundamental data, subdivided into field data (descriptions and photos) and analytical data (physical-chemical determinations in laboratory). The elaboration of these data provides the main structure of the Pedological Information System, that is the description of more than 1200 Soil Types, used to build up the characterization of 7000 Geographical Units. Federico Mensio https://talks.osgeo.org/foss4g-2022/talk/WEY8CW/ ...https://video.osgeo.org/videos/embed/953dd5a1-71ff-4d26-a219-982f3fb68d5bhttps://video.osgeo.org/w/8adM35LnbcpNShMRFUE8tbhttps://video.osgeo.org/lazy-static/thumbnails/5f561f10-da04-4163-a470-71271e56b5cd.jpgFOSS4G 2022 | Geofolio: Making Environmental Data Understandable and Accessible for EveryoneGeofolio is a project aiming to make environmental data understandable and accessible for everyone. Geodata is notoriously difficult to use for non-experts. It often gets hidden away in confusing data portals, and at least some GIS expertise is a common prerequisite to find and download data, extract your area of interest and to do some simple analysis. Geofolio lowers these adoption thresholds by letting users draw an area of interest, and then a factsheet with text summaries, maps, and charts is generated automatically from various open access geodatasets. The factsheets contain information on various environmental themes such as topography, land use, hydrology, climate, and agriculture. Users can download the source data, thereby providing an easy step up for further investigation and learning using open source GIS applications such as QGIS. Geofolio makes extensive use of open source software for geospatial applications. The front-end and factsheets use the Leaflet mapping library, and the back-end and processing framework depends on GDAL and Shapely. Geodata is stored for analysis and visualization using PostGIS and Cloud-Optimized GeoTIFF files. The actual data processing takes place "on-the-fly" using GDAL-enabled AWS Lambda functions. Koko Alberti https://talks.osgeo.org/foss4g-2022/talk/XTCZDP/ #foss4g2022 #generaltrack #OpenDatahttps://video.osgeo.org/videos/embed/39f989d0-653e-4e2c-b29f-a3c5e89e4574https://video.osgeo.org/w/8PYLuy8MtzqLtHauKuoG9khttps://video.osgeo.org/lazy-static/thumbnails/d097b775-30ea-48a2-b82b-14d1d6850dda.jpgFOSS4G 2022 | OSGeoLive project reportOSGeoLive is a self-contained bootable DVD, USB thumb drive or Virtual Machine based on Lubuntu, that allows you to try a wide variety of open source geospatial software without installing anything. It is composed entirely of free software, allowing it to be freely distributed, duplicated and passed around. It provides pre-configured applications for a range of geospatial use cases, including storage, publishing, viewing, analysis and manipulation of data. It also contains sample datasets and documentation. OSGeoLive is an OSGeo project used in several workshops at FOSS4Gs around the world. The OSGeoLive project has consistently and sustainably been attracting contributions from ~ 50 projects for over a decade. Why has it been successful? What has attracted hundreds of diverse people to contribute to this project? How are technology changes affecting OSGeoLive, and by extension, the greater OSGeo ecosystem? Where is OSGeoLive heading and what are the challenges and opportunities for the future? How is the project steering committee operating? In this presentation we will cover current roadmap, opportunities and challenges, and why people are using OSGeoLive. Astrid Emde Angelos Tzotsos https://talks.osgeo.org/foss4g-2022/talk/PVRWZY/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/3f62e96a-a87b-4060-9155-799db292f313https://video.osgeo.org/w/38fXEiM24uELXgLuHRWPrAhttps://video.osgeo.org/lazy-static/thumbnails/aa49b148-d9fc-4e6f-99ea-8f5115493765.jpgFOSS4G 2022 | Usage and contribution of FOSS at GISCOGISCO, the ‘Geographical Information System of the COmmission’, is a permanent service of Eurostat that fulfils the requirements of both Eurostat and the European Commission for geographic information and related services at European Union (EU), Member State and regional levels. These services are also provided to European citizens at large. GISCO’s goal is to promote and stimulate the use of geographic information within the European Statistical System and the European Commission. One of the main lessons learned over the last years is not only to provide ‘conventional’ GIS datasets, but add a variety of distribution channels like Application Programming Interfaces (APIs), Linked Open Data (LOD) plus Human Friendly Interfaces on top. API’s for example simplify software development and innovation by enabling applications to exchange data and functionality easily and securely into a digital ecosystem. Additionally, the implementation of API’s contributes to: a) an open government approach to modernise public administration b) a modernised use of the European Interoperability framework or c) the application of the Once Only Principle. The talk will describe some of GISCOs API’s supporting European Institutions in their daily work as well as the public. For that, we are using FOSS tools in production environments. Besides, GISCO team members develop or contribute to a wide variety of software tools (e.g. eurostat-map.js, gridviz, IMAGE tool, diff and generalization tool) which will be presented for further use by the FOSS4G community. Hannes I. Reuter https://talks.osgeo.org/foss4g-2022/talk/QDYYBB/ #foss4g2022 #generaltrack #AEuropeanapproachtogeospatialopensourcehttps://video.osgeo.org/videos/embed/1135b3f3-36aa-4fb1-9c8f-6102ff798c88https://video.osgeo.org/w/dpq7nY4oJmktyx4ARLX86rhttps://video.osgeo.org/lazy-static/thumbnails/1f175374-7474-4c3d-9902-f3e61d37603e.jpgFOSS4G 2022 | From the field to the desk - end to end mobile data capture in an enterprise…From the field to the desk - end to end mobile data capture in an enterprise environment. A demonstration of how to deploy a mobile data capture platform in an enterprise setting. In this example an environmental survey has been developed for a large organisation with a team of surveyors. Consideration is made to authentication, version control and synchronisation to an enterprise spatial database for wider consumption. QGIS is used to define base mapping, context layers and the data capture layers for the mobile application. In this project it is demonstrated how QGIS can be used to define survey forms to reduce input error. In this case a tree survey layer has been defined that adheres to the Individual Tree Standard from the UK’s Forest Research, the Open University and Treework Environmental Practice. The QGIS project is then deployed to a dockerised Mergin service. Authenticated access is then granted to users of Lutra Consulting’s Input Android application. Field collected data can be created and synchronised with the Mergin service. Version control & merging allows multiple users to make asynchronous changes with the ability to rollback if required. The Mergin service internal database is synchronised with an enterprise PostGIS database to allow other users to access and edit data via desktop. Media captured in the survey such as images is extracted through Mergin’s API and made available together with the survey data through a web GIS interface. Andrew Bailey https://talks.osgeo.org/foss4g-2022/talk/UNJEXC/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/6472a101-ad31-48f9-928b-08a21961b52fhttps://video.osgeo.org/w/tcQyVbnBGzSqbXV5qRkL9Nhttps://video.osgeo.org/lazy-static/thumbnails/a794a64f-0fd1-435b-9e95-c07b459d2412.jpgFOSS4G 2022 | Redesigning GRASS GIS graphical user interface in a community-driven wayAside from many new features, GRASS GIS 8 brings an improved graphical user interface focused on better user experience. Based on a broad community discussion involving several surveys and test sessions, we developed a new startup mechanism helping the users understand the data hierarchy and guiding them in their first steps. In addition, our surveys helped to identify a number of opportunities for improvements, including a need for a Single-Window mode that could fully replace the traditional Multi-Window GUI that has been in GRASS since the first GUI version in 1999. Therefore, during the GSoC 2021 project, the first steps towards the Single-Window GUI were established, eventually leading to the friedlier GRASS GUI in version 8.2. Come and listen to the presentation describing how a community-driven approach helped to steer the development direction of the GRASS graphical user interface to satisfy both GIS beginners and advanced users. You can also look forward to the brand-new screenshots of the GUI in version 8.2 that might eventually inspire you to try GRASS on your own. Linda Kladivova https://talks.osgeo.org/foss4g-2022/talk/TREFCV/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/dc4ddb29-0a6b-4294-b4b7-33484730bcb6https://video.osgeo.org/w/rKuCdb8AkF9msF6tadAnF9https://video.osgeo.org/lazy-static/thumbnails/a40c998f-dc3a-47dd-b562-2506a24a8b5f.jpgFOSS4G 2022 | IOTA2: large scale land cover mapping operational chainThe use of remote sensing data operating in different observation domains is an undeniable asset for the realization of quality land cover products. Indeed, satellites allow to cover large areas of interest in a regular way with a durable quality. Satellite data can be of different but often complementary natures, which makes it possible to broaden the possible fields of application (water management, snow cover, crop yield, urbanization, etc.). In addition to these new data, there are recent technological developments (or old but now usable due to the evolution of computing capacities, such as the use of neural networks), and means of service provision and dissemination that allow these applications to be carried out over a longer period of time (long time series that are computed more rapidly) and in a larger space at different scales, sometimes simultaneously (stationary, local, national, continental, global scale). iota2, developed by CESBIO and CNES with the support of CS GROUP, is a response to the growing demand for the creation of an Open Source tool, allowing the production of land cover maps at a national scale that is sufficiently generic to be adapted to the different objectives of users. In addition, this project ensures the production of an annual land use map of metropolitan France [REF https://doi.org/10.3390/rs9010095], with a satisfactory level of quality, thus proving its operational capacities. iota2 integrates several families of supervised algorithms used for the production of land use maps. Supervised algorithms (e.g., Random Forests or Support Vector Machine) that process pixels that can be parameterised by the users through a simple configuration file. iota2 also offers the user the option of using a deep learning model. In addition to the pixel approaches, contextual approaches are also proposed, with Autocontext [1] and OBIA (Object Based Image Analysis). Autocontext, based on RF, takes into account the context of a pixel in a window ...https://video.osgeo.org/videos/embed/d08716c6-86b6-4edc-b75d-acb0d673fdc2https://video.osgeo.org/w/cpUjUB3CjiYJfNjT4PmFhQhttps://video.osgeo.org/lazy-static/thumbnails/35f31f72-d5df-4857-b333-aa7bedddb7b3.jpgFOSS4G 2022 | A vision for INSPIRE: from a traditional SDI to a self-sustainable data ecosystemPublished in 2007, the INSPIRE Directive has established a pan-European Spatial Data Infrastructure (SDI) to support European Union (EU) policies related to or having an impact on the environment. The Directive requires Member States public organisations to make geospatial datasets in scope (i.e. belonging to 34 cross-sector categories known as data themes) interoperable, discoverable and accessible through view and download services. Fifteen years after the entry into force of the Directive, we assess the state of play, reflect on the lessons learned and, leveraging on these while also considering the current policy and technological context, elaborate a vision for the future evolution. Through its Geoportal, which regularly harvests the EU Member States national catalogues, the INSPIRE infrastructure currently provides access to approximately 90 thousand datasets. The amount and update of those datasets is steadily increasing as is the fraction of datasets whose metadata, data models and view/download services are compliant to the legal requirements of the Directive. The INSPIRE infrastructure is currently based on three so-called central components, which in turn are implementations of reusable and mature open source software solutions: the INSPIRE Reference Validator makes use of the ETF testing framework, the INSPIRE Registry is based on the Re3gistry software (included in the OSGeo Live since 2021) and the INSPIRE Geoportal is currently being migrated to GeoNetwork . INSPIRE has also played a key standardisation role in Europe by fully promoting and relying on open standards, mainly by ISO and OGC. Finally, an active and engaged community of stakeholders, meeting at the annual INSPIRE Conference and other related ad-hoc events, has highly favoured the policy and technological development. Despite many pros, lessons learned from INSPIRE also show some cons. These include e.g. overspecification in legislation (often leading to extensions to existing standard...https://video.osgeo.org/videos/embed/5c6ae106-498a-4d09-be23-491d422023fchttps://video.osgeo.org/w/tbp7KFbZgfrk7mnVTD8ocAhttps://video.osgeo.org/lazy-static/thumbnails/55620907-3896-44ba-88bd-7a015b3fe37c.jpgFOSS4G 2022 | Introduction to Spatial Data Outputs Platform - OpenStreetMap GalaxyOpenStreetMap (OSM) Galaxy is a project that the HOT Tech Team launched in mid-April 2021 to optimise and improve availability and accessibility of OSM Data outputs for different user groups within the ecosystem. Through this project, we strive to address all the OSM data needs under one umbrella and ensure OSM data is available, accessible and ready to use for all kinds of users. We are trying to solve the high dependency on different data sources and uncontrolled platforms while focusing on fast queries and process optimisation by accessing data from HOT administered and controlled environment. As a one-liner, the vision for OSM Galaxy is to provide a single platform to address all OSM Data Needs. In OSM context, a data need is a broad term covering a variety of topics: Raw data exports Analysing completeness of Data Checking the data quality in your neighbourhood Understanding your contribution to a mapathon, to name a few Through this project we strive to: Bring together all the data needs under one umbrella Ensure OSM data is available, accessible and ready to use for all kinds of users Ramya Ragupathy https://talks.osgeo.org/foss4g-2022/talk/BNA8YX/ #foss4g2022 #generaltrack #OpenDatahttps://video.osgeo.org/videos/embed/dc1a6d72-65a2-40f9-aba9-7f86a08f98c0https://video.osgeo.org/w/wrzdxmyLf1Ziy7GupvB2MJhttps://video.osgeo.org/lazy-static/thumbnails/00c80936-bbc5-43bb-bed3-4a62abd0264e.jpgFOSS4G 2022 | Maplandscape - an open-source geospatial workflow for agricultural landscape…Maplandscape - an open-source geospatial workflow for agricultural landscape monitoring Maplandscape is a stack of open-source geospatial applications designed to enable mapping of agricultural landscapes and farm systems. It supports large team in-the-field mobile data collection, provides tools for data syncing and management, and easy visualisation and querying of spatial information for decision making and reporting. The workflow has been developed and deployed in Tonga through a collaboration between universities in Australia and the South Pacific, and Tonga’s Ministry of Agriculture, Food, Forests and Fisheries (MAFF). Maplandscape is currently being used in Tonga to map crop, livestock, agroforestry systems, and farm management practices; over 11,000 farms and four island groups have been mapped so far. This information has been used to inform agricultural planning and resource allocation, disaster response, land utilisation assessment, tracking land use changes, and monitoring of the condition of key commercial crops. The Maplandscape workflow is based on QField for in-the-field data collection and QFieldCloud for data syncing, storage, and user authentication and management. Using QField mobile GIS, key agricultural landscape features (e.g. crop parcels, paddocks, fallow land) can be spatially mapped, and rich attribute information can be captured through various widgets and flexible and complex form logic, with support of reference geospatial layers. Three cloud-based applications have been developed that build on top of the QFieldCloud API to provide geospatial data visualisation and analytics tools. These applications provide differing and complementary functionalities, and facilitate quick analysis, publishing, and reporting of data collected using QField and stored using QFieldCloud. The apps are built using Shiny, Leaflet, ggplot, and DataTables software, and are deployed using ShinyProxy and docker containers in swarm mode. These applications us...https://video.osgeo.org/videos/embed/f6843969-d011-4c2e-adff-7c6fccd91c28https://video.osgeo.org/w/4C4p4qMP9wjCnYHogK9cY5https://video.osgeo.org/lazy-static/thumbnails/e09111f0-720a-4ff2-8150-1c0a293dd6a3.jpgFOSS4G 2022 | Identifying new conservation areas: a web multi-criteria approach using Earth…Identifying new conservation areas: a web multi-criteria approach using Earth Observation and other spatial information Today Protected Areas only partly cover important sites for biodiversity and are not yet fully ecologically representative and effectively or equitably managed. Improvement of the existing networks and further expansion of conservation areas will therefore require well-defined baselines that are comparable across countries for actions prioritisation. In recent years the availability of new earth observation imagery and advances in analysis and processing have significantly improved our capabilities in terms of mapping and monitoring biodiversity variables and ecosystem services. This event will introduce the Biodiversity Analyst, a web GIS tool, developed by the European Commission - Joint Research Centre, for identifying areas of potentially high conservation value based on the available datasets such as species distribution, ecosystems services and natural state. The aim of the Biodiversity Analyst is to provide decision-makers with means to visualise and interact with the above datasets which are considered key for biodiversity conservation while allowing them at the same time to test different weighting schemes in terms of prioritisation to identify so-called "biodiversity hot-spots". Luca Battistella https://talks.osgeo.org/foss4g-2022/talk/ZH98CF/ #foss4g2022 #generaltrack #AEuropeanapproachtogeospatialopensourcehttps://video.osgeo.org/videos/embed/1d544918-4fe2-46eb-afe7-3663359e7690https://video.osgeo.org/w/2bQhNSENHnw3gRWgmCMPdjhttps://video.osgeo.org/lazy-static/thumbnails/4c020a59-c279-4289-8984-f9c4fdfb3007.jpgFOSS4G 2022 | Using QField to manage traffic sign inventoryThe new Road Traffic Act of Finland (effective since 2020) requires the road management authorities to provide information about the existing road signs, along with other similar infrastructure such as traffic lights and road paintings, to Traficom, the Finnish Transport Infrastructure Agency. The data is stored in Digiroad, the national database of open street and road data, also hosted by Traficom. To help the different actors in public sector and elsewhere fulfill this legal obligation, as well as providing tools for infrastructure management and maintenance more generally, FOSS4G software can play an important role. In this talk, we present results from our recent project related to this effort. In the project, we developed a traffic sign inventory process using QField mobile data collection app and studied its suitability for the task. There was a pre-existing conceptual data model for the road signs from Traficom, which was used as the basis for the physical PostGIS database implementation. In addition, the data collection workflow was designed to make the data collection as efficient as possible. This included configuring the data input forms and the traffic sign visualizations in the related QGIS project file, as well as other aspects of usability of the app, such as further development of the geocoding functionality. The process was then tested out in the field and improved upon in cooperation with employees from a few different-sized municipalities around Finland. The finished project report, along with the files needed to set up the data collection project are freely available in the Github repository of the project: https://github.com/finnishtransportagency/digiroad-QField Jaakko Lehto https://talks.osgeo.org/foss4g-2022/talk/JNECGN/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/099c5604-5dcf-4e14-a527-20e060227feehttps://video.osgeo.org/w/rhBNZU1YAMaVPLtMnsxQLEhttps://video.osgeo.org/lazy-static/thumbnails/7bd5066b-eedd-40a9-b5b4-1ab1e850eb07.jpgFOSS4G 2022 | 10 years in Georepublic and OSGeoTaro Matsuzawa has been working for Georepublic for 10 years now. He has had experience in many open source communities since his student days, but had not yet joined the OSGeo community until he joined Georepublic. He is now a FOSS4G specialist and has presented at FOSS4G conferences in Japan. For a ten years he has been a committer for OpenMapTiles and several OpenSource projects, and has contributed more than 20 projects to Japanese companies and municipalities. In this issue, he would like to share some of the insights he has gained from his work and the OSS community. I will mainly talk about the basics and applications of Game Tile[1] technology, a small-scale map solution using pgRouting[2], and Python3 support for the ckanext-spatial plugin[3]. 1. https://leafletjs.com/SlavaUkraini/examples/crs-simple/crs-simple.html 2. https://pgrouting.org/ 3. https://github.com/ckan/ckanext-spatial/pull/249 Taro Matsuzawa https://talks.osgeo.org/foss4g-2022/talk/JYCARU/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/ccc66f8a-affb-477f-990b-7b2628aef836https://video.osgeo.org/w/1QTnK6enytUEmn7CbQrWj1https://video.osgeo.org/lazy-static/thumbnails/16ff27c2-a863-4f87-a882-9dbc81738bdd.jpgFOSS4G 2022 | 10 years of open-source software in emergency management: the case of the European…10 years of open-source software in emergency management: the case of the European Flood Awareness Service The European Flood Awareness System and the Global Flood Awareness System (EFAS and GloFAS), are the two Early Warning Service for floods part of the Copernicus Emergency Management Service (CEMS), operated by the EU Joint Research Centre (JRC). EFAS and GloFAS aims to complement national and regional service by providing medium-range flood forecasts and hydrological outlooks for large, transboundary rivers. Data and products are accessible to eligible users through the Climate Data Store and dedicated web interfaces. ECMWF, having the role of the computational centre within CEMS, is responsible for running the forecasts and the post-processing, on top of co-developing and hosting the EFAS and GloFAS information systems. These two information systems consist on back-end/front-end web services based on OGC standards and open-source software. As it is often the case, a web-based mapviewer allows to display different layers, produced by a WMS back-end. These layers are the graphical representation of the output of the hydrological models and meteorological observations, like flood probability, soil moisture, return period, observed precipitation etc. For most layers a new forecast is produced every 12 hours for EFAS and every 24 hours for GloFAS. Unlike many similar services, however, the aim of EFAS and GloFAS is not only to offer the latest forecasts or the latest observations but also to browse through data from previous days, so that older forecasts can be compared with actual observed events. This inherently means supporting the time dimension within the WMS standard, and managing large quantity of data that accumulates every day. In the case of EFAS, for example, an additional 1.5 Gb of data is produced twice a day. It also means handling the inevitable changes in data formats and structures that arise as the service grows and new features are added, ...https://video.osgeo.org/videos/embed/06d35ca2-6ffe-4101-8d5e-46d940dfc7d4https://video.osgeo.org/w/w5p5wQKat1cw1UaLiJq4cphttps://video.osgeo.org/lazy-static/thumbnails/5de6dba5-593a-47f8-aaa7-9bc11f5b0fa0.jpgFOSS4G 2022 | Early use of FOSS4G in a space start upAs a small but scaling new space company, Satellite Vu relies heavily on open source tooling for our image production pipeline, as well as storing our image assets and conducting experiments using thermal data sources. The company prides itself on being early adopters of emerging technologies, particularly as standardization of satellite imagery access and reproducible science are at the core of what we stand for. In this talk, we’ll give an overview of the main projects we lean on for all of data engineering, data science and thermal science as well as outline the vision for Satellite Vu’s evolving role within the open source community. Specific tools we’ll comment on our use include: 1. STAC, and the related stac-fastapi, for storing and serving image collections 2. rioxarray and stackstac for scaling our use of both internal and external cloud native imagery datastores 3. The pangeo stack for running experiments and scaling data processing 4. pygeoapi, as a vector data server I’ll introduce the Satellite Vu public STAC, and talk through how we’re using FOSS4G tools to shorten the development time of new products as well as prepare for the first satellite launch in Q1 2023. James O'Connor https://talks.osgeo.org/foss4g-2022/talk/HG7RLR/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/f38f5b77-01ca-454f-8e7e-06ef5ef36781https://video.osgeo.org/w/b3ck41NW5yvaREdNEF1bdUhttps://video.osgeo.org/lazy-static/thumbnails/eed799f5-bf0f-43a1-be17-8ff091c41600.jpgFOSS4G 2022 | The Carto 2 ProjectThe Carto 2 project is part of the Geo-IDE program of the Ministries of Ecology and Agriculture in France. The objective of Geo-IDE is to provide stakeholders in the ministries with common data and tools in the field of geographic information. Since 2019, the Ministry of the Ecology and Camptocamp have been collaborating to create a new module, Carto2, that would allow data administrators to compose, publish and consult maps online and other users to search, consult or download published maps at the same time. Carto2 also had to offer a more modern and ergonomic platform, as well as possibilities to evolve the module and its functionalities in order to better meet the needs and expectations of the decentralized services. The project is developed using free solutions such as Geoserver, QGIS Server and Openlayers. This is an example of the development of a large departmental spatial data infrastructure used by about 150 services in France. We will present the software architecture and the strategies put in place to develop Carto 2 and we will describe the technical challenges we have faced during the development. Frederic Jacon Philippe Belais https://talks.osgeo.org/foss4g-2022/talk/D7GSXV/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/5149db06-5000-403d-9572-09cda1924304https://video.osgeo.org/w/kj9Wie1sTfemVrzQnfTbm6https://video.osgeo.org/lazy-static/thumbnails/83d119ec-c701-4d37-a4a6-104355cc1eba.jpgFOSS4G 2022 | OTB integration in operational processing chainsThe Orfeo ToolBox is used as development framework for satellite image processing over large dataset in several operational projects. Indeed, its image processing functionalities (multithreading, streaming, ram configuration) allow to process big images quite fast. The operational processing chains use OTB from the Python API and C++ API. Among the optical chain processing using OTB, we can list: MAJA, WASP, BIOPHY and IOTA2. MAJA (Maccs-Atcor Joint Algorithm) is an atmospheric correction and cloud screening software, based on multi temporal and multi-spectral processing. This chain uses L1C products to generate high quality L2A surface reflectance time series for Landsat8, Venus, and Sentinel 2 missions, it is mainly used by THEIA distribution center. The core algorithms of Maja are based on the Orfeo Toolbox. To process a product, the chain uses aerosol contents, cloud and shadow detection and various atmospheric effects to estimate accurate surface reflectance values. The main problem of the L2A products is the presence of clouds in time series which is why WASP was created. Indeed WASP (Weighted Average Synthesis Processor) delivers L3 products which provide monthly syntheses of cloud-free reflectance for Sentinel2 and Venus L2A products distributed by THEIA. This processor mainly includes a directional correction to normalize data and a weighted average of surface reflectance. Two other operational chains which uses OTB are BIOPHY - the goal of this processing chain is to create L2A products containing biophysical variables (FAPAR, FCOVER, LAI) related to the presence of vegetation in the image over a year – and IOTA2 - a soil occupation processor over a year of Sentinel1 and Sentinel2 data, the algorithms use the classification toolbox provided by OTB to process large areas, to determine the areas covered by buildings. OrfeoToolBox is also used for radar processing chain, like diapOTB or S1Tiling. S1TIling is a generic processing chain for Sentinel-1 time...https://video.osgeo.org/videos/embed/9c66878d-5cd2-44a6-99b1-e0b4e79a746dhttps://video.osgeo.org/w/nYmCmvevm2AZ1DhucGPZxShttps://video.osgeo.org/lazy-static/thumbnails/62279d51-9517-426e-8cdc-cb6f2b9f93b8.jpgFOSS4G 2022 | Developing with MapStore; creating a custom dashboard to map crime dataMapStore is an open source product developed for creating, saving and sharing in a simple and intuitive way maps, dashboards, charts and geostories directly online in your browser. You can use MapStore as a product to deploy simple geoportals by using the standard functionalities it provides but you can also use MapStore as a framework to develop sophisticated web gis portals by reusing and extending its core building blocks. MapStore is also integrated inside geOrchestra as well as GeoNode open source project. The presentation will focus on the use of MapStore as web gis framework to create a modular, reproducible, simple yet powerful dashboard to visualize crime data (but in reality many different types of location based data) leveraging on GeoServer and PostGIS advanced functionalities. We will describe the main steps for creating such an infrastructure leveraging on the MapStore components and framework then we will cover how the existing dashboard template can be configured to work with your own data sources (eventually touching the needed processing steps for the data itself) including GeoServer and PostGIS advanced functionalities. We will eventually discuss further improvements and new features to evolve the current capabilities to capture new and emerging requirements. The goal of this presentation is twofold, on one side we are addressing developers in order to show them advanced usage of MapStore to develop compelling applications on the other side we will be addressing power users and system administrators willing to deploy the Crime Mapping dashboard to make their own data available without writing code. Stefano Bovio https://talks.osgeo.org/foss4g-2022/talk/UEU7BR/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/b1ee4651-ec39-4127-afdd-acfbf26a79f4https://video.osgeo.org/w/wAXZ7TYiELJEntXZRjz1pjhttps://video.osgeo.org/lazy-static/thumbnails/bd35d096-ea46-44eb-827a-2d1af3d88fce.jpgFOSS4G 2022 | Development of plugins in QGIS for the management of the Multipurpose Cadastre in the…Development of plugins in QGIS for the management of the Multipurpose Cadastre in the Government of Mexico City Migration of the current tools that maintain the Cadastre of Mexico City to Open Source and free licensing technologies. The objective of the project was the development of a plugin in QGIS that optimizes the functionalities of the licensed software and allows the maintenance and management of cadastral data. Stages of the development process: a. Requirements analysis: Based on the information provided by the client, the feasibility of integrating the database engine, the API of workflow services with the transactional systems of the municipality is evaluated. b. Definition and implementation of PostGIS and QGIS: together with the client, for the integration of the tools and subsequent development. c. Design of Python and QT tools: carry out the design and development of plugin components in QGIS. d. Design of Postgres security interfaces: coordination with the permissions, automation routines with the plugin components. e. Development of functional tools from Bentley to QGIS: development of the previously detailed functionalities in the analysis and design stages of the project in order to replace the existing functionalities, accompanied by redesign. f. Test and implementation in Quality Assurance (QA) environment g. Training and technology transfer. h. Documentation of all strage of the process of the project, in order to carry out the complete transfer to our client. Ariel Anthieni Julia Martinuzzi https://talks.osgeo.org/foss4g-2022/talk/KFVAPC/ #foss4g2022 #generaltrack #TransitiontoFOSS4Ghttps://video.osgeo.org/videos/embed/f7d3f328-f715-467c-9ec5-d877f4f47df0https://video.osgeo.org/w/uvvgERed2G8hjuJ8Df4aqJhttps://video.osgeo.org/lazy-static/thumbnails/bd6aded9-8fa3-4333-a95f-bfde6b47df06.jpgFOSS4G 2022 | FOSS4G in the Solar SystemIt is well-known that Free Open Source Software is part of Space and Planetary Exploration, and the latest generation of rovers and drones on Mars embed FOSS components and frameworks. But what about Free Open Source for Geospatial software and data access and availability? We will travel the timeline of planetary cartography, from the first steps of remote and direct observation of the bodies of our Solar System to the era when Geographic Information Systems spread in Planetary Science and FOSS4G starts to play an essential role in studies and missions to environments beyond planet Earth. Alessandro Frigeri https://talks.osgeo.org/foss4g-2022/talk/9RXQFF/ #foss4g2022 #generaltrackhttps://video.osgeo.org/videos/embed/e6de7d7d-3e11-4559-9bbc-352a67fbce16https://video.osgeo.org/w/7TUg6CD8jaVAXgz7Rw9MZehttps://video.osgeo.org/lazy-static/thumbnails/44583310-b2ea-485b-9de5-a40cae42d351.jpgFOSS4G 2022 | Implementation of INSPIRE in Lithuania: experience with the transition to FOSS4GSince entering into force in May 2007, the Directive 2007/2/EC of the European Parliament and of the Council establishing Infrastructure for Spatial Information in Europe (INSPIRE directive) has been playing very important role in building spatial information infrastructures – both pan-European and at national level. Technical specifications and guidelines describe the key components of data content and of implementation of web services. However, each country decides individually how technically it will implement these requirements, what architecture and software it will choose to use. The roadmap of directive implementation has reached the last milestone in 21/10/2020 – all spatial data sets had to be provided to the INSPIRE geoportal ((https://inspire-geoportal.ec.europa.eu/). Now is the best time to share the experience how Lithuania started INSPIRE implementation path using commercial software but successfully ended with using only FOSS4G. Implementation of INSPIRE directive in Lithuania is centralized and state enterprise GIS-Centras is responsible for technical work. INSPIRE directive was implemented in 2 stages. The first stage started back in 2012 and it was dedicated to cover data sets from Annex I and Annex II (only orthophoto imagery). Back then the INSPIRE directive implementation was a new and little-known technical challenge. The decision to call a tender and use the commercial software for which there were not many viable alternatives at the time seemed quite logical. The second stage of INSPIRE directive implementation started in 2018 and ended up in 2021. This stage was dedicated to cover data sets from Annex III and part of Annex II. Instead of just calling a tender to implement the requirements with commercial software we already had we decided to implement everything by ourselves and change the commercial software to FOSS4G. At the end of the project, we have not only prepared and published all the datasets and services, but also had a team ...https://video.osgeo.org/videos/embed/37d5f885-192e-437f-8a87-d38f111e5e0bhttps://video.osgeo.org/w/8QswmWErZvuwKKN34K595mhttps://video.osgeo.org/lazy-static/thumbnails/90050181-aa04-4390-aa94-63f08692d47d.jpgFOSS4G 2022 | Towards open and accessible weather forecast dataThe European Centre for Medium-Range Weather Forecasts (ECMWF) is an independent intergovernmental organisation which is producing and disseminating numerical weather and environmental predictions to its users in national meteorological services as well as commercial customers. As of recently, ECMWF started the move towards serving data to users beyond operational forecasters in Member states and commercial customers for a charge, by adopting an open data policy which will be implemented in phases from 2020 to 2025. The first phase included opening hundreds of web forecast charts (https://apps.ecmwf.int/webapps/opencharts) and making archived data available under a Creative Commons (CC BY 4.0) open licence in 2020. The next step was in January 2022 when the production of open subset of real time medium range forecast (https://www.ecmwf.int/en/forecasts/datasets/open-data) began. This phased move towards free and open data aims to support creativity and innovation in the field of scientific research as well as weather applications. It also represents a step towards more reproducible open science. However this can not be achieved by only opening the real time data. The users need to be able to find and easily use the data and integrate it into their own research work or application workflows. Reliable access to the data is achieved by making it available both through ECMWF https service and via the Microsoft Azure cloud, where the archived data is kept as well. In order for the data to be more FAIR (Findable, Accessible, Interoperable and Reusable), additional development work is being done. This work includes the design of an API (https://github.com/ecmwf/ecmwf-opendata) to easily download the geospatial data, and the development of open source Python libraries to process (https://github.com/ecmwf/ecmwf-data) and visualise (https://github.com/ecmwf/magpye) it. These open source libraries make use of open geospatial software, such as proj to deal with different p...https://video.osgeo.org/videos/embed/3f74046a-4ed6-40bd-a2ac-2ba505bfc5cchttps://video.osgeo.org/w/q3wniu33C5KKsQZzXsL3BDhttps://video.osgeo.org/lazy-static/thumbnails/aa7cbd2a-02bb-4ce4-97d4-c8a85a7a3d3f.jpgFOSS4G 2022 | Favoring Opensource Technologies for French Fire BrigadesThe NexSIS project aims to create a digital rescue platform providing all civil protection actors in France with a complete set of cloud operational services. Open Source GIS solutions were chosen for this national project with strong technical requirements. This has a direct impact on the way data will be exploited. Each Fire Department will have to adapt and create data that will be directly used by the NexSIS software (areas that require special equipment or specialized teams for example). Currently in France each fire department has a budget depending on the size / number of people in the department. This budget is used to buy new fire extinguishers, computers, but also to hire new people, etc... Most departments currently use many different proprietary softwares for all GIS aspects. Historically, each department has made their own choices on what software they use. This talk will show how we are helping fire brigades to make the switch to Open Source without losing any functionalities and without any extra work load. Using the power of both QGIS and PostgreSQL, we will show how these tools can be used to share and publish common workflows (qgis expressions, model builders) that are often used in fire emergencies, build a common atlas (report module), edit spatial data (forms, and constraints) and so forth. Julien Waddle https://talks.osgeo.org/foss4g-2022/talk/KKQWHV/ #foss4g2022 #generaltrack #TransitiontoFOSS4Ghttps://video.osgeo.org/videos/embed/c2b587a5-b890-450e-a452-a5bf5db336fbhttps://video.osgeo.org/w/gUZLyVQMZM2R8JMAXbnXwEhttps://video.osgeo.org/lazy-static/thumbnails/a37cbcfc-a250-4bf5-9c8e-0768eab17a3e.jpgFOSS4G 2022 | Mastering Security with GeoServer and GeoFenceThe presentation will provide a comprehensive introduction to GeoServer's own authentication and authorization subsystems. The authentication part will cover the various supported authentication protocols (e.g. basic/digest authentication, CAS, OAuth2) and identity providers (such as local config files, database tables and LDAP servers). It will explain how to combine various authentication mechanisms in a single comprehensive authentication tool, as well as providing examples of custom authentication plugins for GeoServer, integrating it in a home-grown security architecture. We’ll then move on to authorization, describing the GeoServer pluggable authorization mechanism, and comparing it with proxy based solution. We will explain the default service and data security system, reviewing its benefits and limitations. Finally we’ll explore the advanced authorization provider, GeoFence. The different levels of integration with GeoServer will be presented, from the simple and seamless direct integration to the more sophisticated external setup. Finally we’ll explore GeoFence’s complex authorization rules using: - The current user and its roles. - The OGC services, workspaces, layers, layer groups. - CQL read and write filters. - Attribute selection. - Cropping raster and vector data to areas of interest. Andrea Aime Nuno Oliveira https://talks.osgeo.org/foss4g-2022/talk/RREDPC/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/80df5b63-7e02-469c-8637-e5514597aff6https://video.osgeo.org/w/vHA6uFQetC8eFrtrpWzgnwhttps://video.osgeo.org/lazy-static/thumbnails/98c4ab5b-0de4-4537-bea8-b9edbb77f864.jpgFOSS4G 2022 | Orfeo ToolBox: open source processing of remote sensing imagesOrfeo Toolbox (OTB) is a free and open-source remote sensing software. It is available on multiple platforms, Linux, Windows and MacOs, and was developed primarily by CNES (French Space Agency) and CS Group in the frame of the development of the ORFEO program (French and Italian support program for Pleiades and Cosmo-Skymed). OTB can process large images thanks to its built-in streaming and multithreading mechanisms. Its data processing schema is primarily based on ITK pipelines, and uses GDAL dependency to read and write raster and vector data. Many formats are supported by the library (at least those supported by GDAL) as CosmoSkyMed, Formosat, Ikonos, Pleiades, QuickBird, Radarsat 2, Sentinel 1, Spot5, Spot 6/7, TerraSarX or WorldView 2. OTB provides a lot of applications to process optical and SAR products: ortho-rectification, calibration, pansharpening, classification, large-scale segmentation and more. The library is written in C++ but all the applications can also be accessed from Python, command line launcher, QGIS and Monterverdi, a powerful satellite image visualization tool bundled in the OTB packages capable of manipulating large images efficiently. The library also facilitates external contributions thanks to the remote module functionality: users can add new applications without modifying the core of the library. If this new remote module is relevant, it could be added as an official remote module, like DiapOTB (differential SAR interferometric processing chain) and OTBTensorflow (multi-purpose deep learning framework, targeting remote sensing images processing). Moreover, several operational image processing chains are based on OTB: their algorithms use the framework of OTB Applications while the orchestration is written in python. Some of the chains are also open source: Let It Snow (Snow cover detection), iota2 (Large Scale Land Surface Classification), WASP (Multitemp images fusion), S1Tiling (Sentinel-1 calibration and MAJA (Maccs-Atcor J...https://video.osgeo.org/videos/embed/f0a786ff-83e5-4274-98df-a8762b3d2ea4https://video.osgeo.org/w/72iMAXD6uUZ3GPj1in7r96https://video.osgeo.org/lazy-static/thumbnails/449f33d1-89bb-4d6e-91d4-414f21a42c50.jpgFOSS4G 2022 | openEO: Open Science for Earth Observation ResearchThe open standards, open source geospatial and open science communities still have a very limited answer to the question how researchers active in applied domains such as agriculture, ecology, hydrology, oceanography or land use planning can benefit from the large amounts of open Earth Observation (EO) data currently available. Solutions are very much tied to platforms operated and controlled by big tech (Earth Engine, Planetary Computer), particular programming languages, software stacks and/or file formats (xarray, Pangeo, ODC, GeoPySpark/GeoTrellis). The openEO initiative provides an API and a set of processes that separate the “what” from the “how”: users specify what they want to compute, and back-end processing engines decide how to do this. The openEO API is OpenAPI compliant, and has client interfaces for Python, R, and JavaScript, and in addition graphical user interfaces running in the browser or in QGIS. The underlying data model is that of a data cube view: image collections or vector data may be stored as they are, but are analysed as if they were laid out as a raster or vector data cube, e.g. for raster with dimensions x, y, band and time, or for vector with dimensions geometry, band and time. Because openEO assumes that imagery is described as STAC collections and the implementation is composed of open source components, it is relatively easy to set it up and compute on infrastructure where imagery is available through a STAC interface. Having a single interface to carry out computations on back-ends with different architecture makes it possible to compare results across implementations, to verify that EO processing is reproducible. So far, over 100 processes have been defined, and user-defined functions written in Python or R extend this ad infinitum. openEO was initially developed during a H2020 project (2017-2020). It is currently continued with ESA funding that has resulted in the “openEO Platform”, an implementation run by VITO and EODC where ...https://video.osgeo.org/videos/embed/30c58972-2f5e-4d51-83f4-fec902013539https://video.osgeo.org/w/jZdyCNWKAsrWPcHfkPmY2xhttps://video.osgeo.org/lazy-static/thumbnails/a47738c3-7339-4940-aad5-568bebd2eb9e.jpgFOSS4G 2022 | Analysing access to UK public rights of way with the QGIS Graphical ModelerThe UK national walking organisation, Ramblers, are working to improve the public rights of way network, and in particular improve access to it for people who are less advantaged, and may not have access to vehicles. The research project described in this talk undertook an analysis of the national paths network using publicly available data supplied by hundreds of individual local authorities across the UK. This was done by setting up a series of models in the QGIS Graphical Modeler to generate six key indicators aggregated to census area level, including distance to nearest continuous path from each small area unit of population, length of available path within a series of buffers, and access to paths of specific types – for example those passing through protected or designated areas. The talk will look at some of the challenges of the project, including scaling the modeller to work with millions of path features and tens of thousands of point locations, and building processes to combine path segments and then disaggregate them to an appropriate level. The main goal of the project was to inform and support specific policy proposals, but it is also intended that the QGIS models should be passed on to Ramblers and used in the longer term, to monitor the impact of changes to the paths network and of population patterns over time, and also to support analysis of how additions to the network, for example by the inclusion of historic paths which are not yet official rights of way, could improve access. The intention is that these models could be run on smaller areas, and on hypothetical paths networks, to help build a case for extensions and rationalisation of the paths network at both national and local levels. Use of the Graphical Modeler rather than scripts or database processing will make it easier for Ramblers staff to run the models themselves in the future using inputs of their choice. Ant Scott https://talks.osgeo.org/foss4g-2022/talk/7URVYD/ #foss4g2022 ...https://video.osgeo.org/videos/embed/99c1a1fe-647c-4000-a1b7-bc2a6f140329https://video.osgeo.org/w/eRKGvuY66aUscb5xvtniXehttps://video.osgeo.org/lazy-static/thumbnails/b6e9ed8e-64cd-464a-8ace-7e402cc0d37a.jpgFOSS4G 2022 | Is it wrong to make money with FOSS4G technology?Spoiler alert, I believe the answer to the question posed in the title is a firm “no”. As such, this presentation will describe why a healthy commerce ecosystem is an essential component of the broader FOSS4G community. The presentation will describe several commerce models that both support open source initiatives and generate work and revenue for businesses. The commerce models presented will be complimented by real world examples of these models in action. The presentation will also describe the trend of large companies open sourcing some of the tools that they use to run their business and/or that support their products. The presentation will also describe the business importance of open source frameworks for both the broader Javascript development space (e.g., React, Angular, etc.) and the more specialized geospatial development arena (e.g., Deck.gl, etc.). Finally, while making money is appropriate within open source communities, it is always important that businesses contribute back to the open source ecosystem and best practices for being a good open source citizen will be discussed. Michael Terner https://talks.osgeo.org/foss4g-2022/talk/NMBNLT/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/70392d6b-712c-4be3-acbe-b9cb697750bfhttps://video.osgeo.org/w/qCAXBfkKDUGuvJqiTda2gShttps://video.osgeo.org/lazy-static/thumbnails/fc9e15cf-b9b4-4961-85dc-6537fc79cc24.jpgFOSS4G 2022 | Geo-commons in France : review of current initiatives*"Géocommun"* `[ʒeokɔmɛ̃]` : is it the latest buzzword in France or a large movement towards more openness in the geospatial realm ? The French National Geographical Institute (IGNF) recently started communicating its vision towards the development of Geo-commons. This sounds like a strategical change in the way the institute apprehends geo-data and geo-software production. In this presentation, we first try to give a definition of what a "geocommon" is. Then we review the initiatives currently being deployed by various actors in France to transform this word into a reality. We study the roots of these actions and their links to opendata, opensource and opengov movements. We also try to provide a mindmap of involved actors, and how they interact together : administrations, data-oriented communities or software-oriented communities. Then we anticipate the impact on free and opensource software for geomatics, and how it could affect technologies and communities in this area. Vincent Picavet Julien Moura https://talks.osgeo.org/foss4g-2022/talk/YU8XVH/ #foss4g2022 #generaltrack #TransitiontoFOSS4Ghttps://video.osgeo.org/videos/embed/c777a5cc-dbc5-4bcc-9235-56eb5d5f3a04https://video.osgeo.org/w/i6h7m3X7FczdAcSHDPf8eshttps://video.osgeo.org/lazy-static/thumbnails/5ca95664-d8f3-4b87-bc44-6cf5bb618fb5.jpgFOSS4G 2022 | GeoPrism Registry - Using Spatial Knowledge Graphs for Managing and Integrating…GeoPrism Registry - Using Spatial Knowledge Graphs for Managing and Integrating Geographic Data Over Time Across Multiple Information Systems A knowledge graph is a network that interconnects concepts, objects, or events according to domain specific relationships and terminology. Spatial knowledge graphs model locations and how they are spatially related to each other according to semantic properties and are useful for helping to automate the integration of geographic data across silos. Information systems used to make decisions often have different pictures of the geographies (i.e. people, places, and infrastructures) they respectively cover. Within a single area, different programs collect and store different geographic data in siloed systems at different times, leading to discrepancies and duplication of effort. This also results in decisions based on incomplete and out-of-date geographic data (e.g., spatial distribution of population and resources). GeoPrism Registry is an open-source Common Geo-Registry (CGR) implementation that utilizes spatial knowledge graphs to provide a single source of truth for managing geographic data over time across multiple information systems and data sources. It is used to publish, access, and manage changes over time to hierarchies and geospatial data for geographic objects such as administrative divisions, infrastructure and other relevant physical features. GeoPrism Registry uses geo-ontologies to define semantic properties and relationships that implement spatial knowledge graphs using a graph database. Changes to attribute values, relationships, and geographies are managed for different time periods. Historical views of data can be generated for any time period. The application has been released under the Lesser General Public License (LGPL) and was developed using only open-source components including OpenJDK, MapboxGL, PostgreSQL, OrientDB, Solr, GDAL, and GeoServer. This talk will demonstrate how spatial knowledge gr...https://video.osgeo.org/videos/embed/8a6800fc-0798-488c-924c-36b88b950788https://video.osgeo.org/w/hCkqRBGV5he6evq2TAnbbThttps://video.osgeo.org/lazy-static/thumbnails/b02c6579-cdce-4456-a34d-4950d0fe3eff.jpgFOSS4G 2022 | Visualizing climate risks for disaster reduction and climate resilience programs –…Visualizing climate risks for disaster reduction and climate resilience programs – Interactive open-source tools for analysts and decision makers to utilize Earth observation data Climate and vegetation indicators created from Earth observation data provide timely information to analysts and decision makers implementing disaster risk reduction and climate risk mitigation programs. The United Nations World Food Programme’s (WFP) Climate and Earth Observation unit (ClEO) works with a number of Earth observation datasets to measure and monitor climate risks across all of the regions where we work, including 90+ countries globally. The end users of this information include government institutions such as the meteorological and disaster management agencies, implementers of humanitarian assistance programs, as well as WFP field staff working on programs which build climate resilience through the development of community assets and livelihood support. To enable the creation and dissemination of monitoring indicators, WFP is in the process of deploying an instance of Open Data Cube with nearly global coverage. Leveraging the power of data cubes to measure key climate and vegetation indicators over space and time, WFP’s Open Data Cube instance will provide free and open access to a wide range of analysis-ready data products. Utilization of this data requires user-facing applications with easy to use and intuitive interfaces. One of the tools developed by WFP to provide more direct access to climate and Earth observation data is PRISM – an open-source software solution which greatly simplifies the integration of geospatial data from various systems. PRISM has been developed to easily integrate data from Open Data Cube deployments using OGC standards – providing a quick tool to display time-series raster data in an interactive dashboard. During this talk, WFP will present a brief overview of the use cases we address with Earth observation data, the role of our Open Data...https://video.osgeo.org/videos/embed/86a4f7b0-fbcd-4a98-b9d7-8ab9a98d4367https://video.osgeo.org/w/syUYsQqLS8kakpriPVbyaQhttps://video.osgeo.org/lazy-static/thumbnails/2b7b78aa-1dd7-47c3-a06b-be8dc6763aaf.jpgFOSS4G 2022 | The MAPME Initiative: Leveraging the power of open data and FOSS GIS to improve…The MAPME Initiative: Leveraging the power of open data and FOSS GIS to improve public expenditure in the development aid sector. MAps for Planning, Monitoring and Evaluation (MAPME) is an initiative founded by Geo-geeks and FOSS enthusiasts from KfW Development Bank (KfW), French Development Agency (AFD) and MapTailor Geospatial Consultants. Aid agencies such as KfW and AFD financially assist developing countries in fighting hunger, poverty, disease, illiteracy and environmental degradation around the world. Together with our partner countries we are key decision makers in the allocation of the so-called Official Development Assistance (ODA). KfW, for example, allocated 12.4 bn. EUR to assist developing countries achieving the Sustainable Development Goals (SDGs) in 2020. Geodata and geospatial technologies help us to take informed decisions to allocate funds responsibly and maximize public goods and benefits. Nevertheless, the uptake of open data and geospatial technologies within our institutions and decision-making processes is still relatively low. We think that one of the main reasons for this is missing openness in the way that we deal with data-analytic questions in our institutions. In response we founded MAPME, an open community and open-source initiative to upscale and democratize the usage of geodata and geo-spatial technologies within our own institutions as well as our partners. With this initiative we promote cultural change in our institutions by prototyping small FOSS and open-data pilot projects that illustrate the power and usefulness of these technologies to improve development aid projects. One of our outputs is the mapme.biodiversity package, which offers R-users the possibility to automatically download and process several important open-data sources for conservation science using a parallelization approach to deal with large AOIs or global conservation portfolios (https://github.com/mapme-initiative/mapme.biodiversity). We will offer a ta...https://video.osgeo.org/videos/embed/d7260d47-b711-4d6f-afdd-7c4f632f3abahttps://video.osgeo.org/w/b3prnsKTw2CdGAZRTVKvS5https://video.osgeo.org/lazy-static/thumbnails/ff089491-8fde-41c7-8532-3488e75fc57f.jpgFOSS4G 2022 | Just Enough GIS: Plugging Lightweight Mobile GIS into an Offline Field Data…Just Enough GIS: Plugging Lightweight Mobile GIS into an Offline Field Data Collection Platform In 2012, FAIMS project developed FAIMS Mobile, an open-source platform for minting Android applications for offline human-mediated data collection on multiple tablets. Originally intended for archaeology, this platform saw cross-disciplinary adoption including disciplines such as oral tradition, linguistics, ecology and geochemistry. Mobile GIS (provided by Nutiteq, Estonia) was built into the core software from the start providing the most essential geospatial functionality from management and rendering user-owned raster and vector data, to manual data creation, editing, retrieval, and rendering. Automated data collection via onboard and bluetooth sensors was also implemented to support unique identifier generation and printing, and other key tasks for field sample tracking. Navigation and spatial query facility existed. The simplified interface isolated end-users from administrators, with only the latter needing geospatial skills and domain knowledge, a division that facilitated data entry by unskilled volunteers. Many of the geospatial functions, however, required programming to customize. Given this barrier to entry, only clients with access to a programmer could create customisations for geospatially-tailored field data entry. Others had to run existing customisations, published on Github. Despite this bottleneck, FAIMS 2.6 clients created a variety of spatial data collection workflows, from simple offline shape mapping to manual map data digitisation. In 2022, FAIMS project is rebuilding the FAIMS Mobile platform to equip it with a graphic user interface for customisation, to allow cross-platform deployment, and to implement ‘round trip’ data transfer to and from existing desktop tools. We hope to retain a robust geospatial data creation capability but aim to strip away functionality that saw little use over the 10 previous years, taking a 'just-enough-GIS' a...https://video.osgeo.org/videos/embed/51515165-cc98-4dbb-bd38-1f05fe702b14https://video.osgeo.org/w/3TSN3VmuGyxbCTKSwrwDsZhttps://video.osgeo.org/lazy-static/thumbnails/35f41dd3-27c6-4655-8d00-c5ad9ac653df.jpgFOSS4G 2022 | Seamless fieldwork thanks to QFieldCloudQFieldCloud's unique technology allows your team to focus on what's important, making sure you efficiently get the best field data possible. Thanks to the tight integration with the leading GIS fieldwork app QField, your team will be able to start surveying and digitising data in no time. Discover what QFieldCloud has to offer and how, thanks to seamless integration with your SDI, it can help make your teams' fieldwork sessions pleasant and efficient. And if you want to roll out your own customized version, nothing will stop you, QFieldCloud is open source! QFieldCloud is a SaaS (software as a service) solution built by OPENGIS.ch that allows your team to seamlessly integrate field data to your SDI. QFieldCloud is written in python using the Django Web framework that encourages rapid development and clean, pragmatic designs. QField is the mobile data collection app for QGIS with more than 120K active monthly users and 500K downloads. Discover how the seamless synchronisation with QFieldCloud can help make your teams' fieldwork sessions pleasant and efficient. Marco Bernasocchi https://talks.osgeo.org/foss4g-2022/talk/QWEF8P/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/17708332-5a58-4b34-975e-ad8616230351https://video.osgeo.org/w/bNRaXKSuNihNjgFDAHyopehttps://video.osgeo.org/lazy-static/thumbnails/ec3adbd3-c14d-4dd8-8619-cc8b7c734168.jpgFOSS4G 2022 | Professional field data management with QFieldPostGIS represents the de-facto standard for managing your spatial data, while QField is the state-of-the-art application for their management in the field. Since QField 2.0 release in spring 22, the seamless data synchronisation experience is complete. QFieldCloud closes the loop between your company's fieldworkers and the GIS analysts. In this talk, we'll share _features_, _best practices_ and _pro-tips_ for managing your projects, remote teams, and permissions in a professional setting. ## About QField QField is an open-source app developed for efficient fieldwork in real-time in urban areas, with a 5G connection or with offline data. The mobile GIS app combines a minimal design with sophisticated technology to conveniently bring data from the field to the office. Seamless QGIS integration, GPS-centred, offline functionality, synchronisation capabilities, desktop configurable: “QField” is designed for fieldwork – simple but uncompromising. Link: https://qfield.org ## About QFieldCloud QFieldCloud is a spatial cloud service integrated into “QField” that allows remote provisioning and synchronisation of geodata and projects. Although “QFieldCloud” is still in an advanced beta stage, it is already being used by many groups to improve their workflows significantly. Link: https://qfield.cloud Marco Bernasocchi https://talks.osgeo.org/foss4g-2022/talk/RXW9SZ/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/5785e737-2b61-41c9-92e1-9859b8548debhttps://video.osgeo.org/w/j3WSAwEfkg2wmbpVzLA6mEhttps://video.osgeo.org/lazy-static/thumbnails/f87573d2-e200-4549-a82d-d8c0764bbdd5.jpgFOSS4G 2022 | Openness - a Strategic ChoiceThe National Land Survey of Finland has made a strategic decision to pursue increased use of open source solutions in its activities. We’ve been an active user of FOSS4G solutions for more than a decade. Further, we created an open source mapping framework Oskari, which has an active user and developer community. In autumn 2020, the National Land Survey of Finland made a major decision to build our new topographic data production system on open source components, such as QGIS and PostgreSQL/PostGIS. The decision has raised a few eyebrows and a lot of interest among other national mapping agencies as well as other institutions using geospatial software. This talk will discuss - on what grounds we made such a decision - how we are progressing with the implementation - how we are looking at engaging in collaboration with open source communities - and most importantly, why every public sector organization should consider the benefits that can be gained by using and investing in open solutions. Jani Kylmäaho https://talks.osgeo.org/foss4g-2022/talk/TJ3GWK/ #foss4g2022 #generaltrack #TransitiontoFOSS4Ghttps://video.osgeo.org/videos/embed/922dccb8-eaab-4c4f-b586-6cd6200be6d2https://video.osgeo.org/w/ef39H2Fa9FgsNfmvXREz7thttps://video.osgeo.org/lazy-static/thumbnails/82ffda2c-29d2-46a3-a13b-d3c58b205d7a.jpgFOSS4G 2022 | Google Summer of Code with OSGeoOSGeo's *Google Summer of Code * Initiative has been an inspiring and motivating platform for new contributors to join the OSGeo projects, community projects, guest projects, and incubating projects. In 2022, OSGeo is participating for the *_16th year_* in the Google Summer of Code, and it itself is a great achievement. With this talk, the OSGeo GSoC Administrators shall try to put forth the importance of GSoC with respect to the students and participating projects. The admins would focus on the development of projects with GSoC and encourage projects to be a part of the upcoming GSoC. Over the years, OSGeo's Google Summer of Code initiative has transformed into an initiative full of contributions towards geospatial software development. In the last 16 years, many OSGeo projects comprising incubating projects, community projects, and guest projects have progressed attributed to the contributions of student developers. Some of these contributors continue to participate as contributors for the projects and went on to take mentoring and organizing responsibilities. This is a true sense of FOSS4G in terms of the individual and collective growth of the developers and the OSGeo community. *In this talk, the OSGeo GSoC Admins team would try to appreciate the efforts of all the mentors and students involved till now and present the state of the GSoC 2022. The Admins would also present possibilities for new projects to be part of the GSoC with OSGeo as an umbrella organization.* Ashish Kumar Rajat Shinde Rahul Chauhan https://talks.osgeo.org/foss4g-2022/talk/NA7E9U/ #foss4g2022 #generaltrack #TransitiontoFOSS4Ghttps://video.osgeo.org/videos/embed/6b3c8a59-2979-4c65-a895-b1ebe4f60bbbhttps://video.osgeo.org/w/aCNCnd4PTt7DQiBzcBS3Yshttps://video.osgeo.org/lazy-static/thumbnails/beb924ac-f234-493d-a7e0-e030a9ea5cac.jpgFOSS4G 2022 | UN Open GIS InitiativeUN Open GIS Initiative, established in March 2016, is to identify and develop an Open Source GIS bundle that meets the requirements of UN operations, taking full advantage of the expertise of contributing partners (Member States, international organizations, academia, NGO’s and private sector). Geospatial Information Systems (GIS) has been played a substantial role in providing timely and effective geospatial information products (maps and dynamic tools) to ensure the United Nations operations are equipped with suitable information to support the UN mandates through informed planning and decision-making processes. The UN has been using proprietary GIS software for the past two decades. The rapid growth and development of open-source GIS solutions present the technological potential, operational flexibility and financial benefits as well as easy to access for UN operational partners and host nations. In view of complexity and variety of UN operational demands and the outcome and lessons learned from the UN Open GIS Initiative, it is identified to develop a hybrid GIS platform that the users should be able to access the most suitable solutions to fulfil the operational demands in flexible and cost effective manner whether the solutions are open source or proprietary, combination of both and/or complement each other. The hybrid model lets coexist two software stacks, one open source based, the other proprietary, which renders different services to end users and applications. Significant progress has been made so far in developing open source-based GIS solutions such as Hybrid Geospatial Database, GeoPortal, Analytical models/ applications, Data collection and Optimized/innovated applications for harmonizing open source technology with proprietary as well as open GIS trainings to the UN staff for smooth transition from proprietary to hybrid GIS platform technology. In particular, it will provide an overall update on what has been achieved by the UN Open GIS Initi...https://video.osgeo.org/videos/embed/4e05c231-60f1-4a29-b32a-29c8dc803cb2https://video.osgeo.org/w/2C6rNZYJPq5EWzrvp5WaE8https://video.osgeo.org/lazy-static/thumbnails/35eb00a5-48a4-4fb2-b41c-1dfb869f14d4.jpgFOSS4G 2022 | Take-Home Messages from Adding Code Quality Measures to GRASS GISThe message is not surprising: You should quality check your code, too, even if you are writing a small script for your own needs! However, maybe you wondered if all the warning messages are relevant to you or got discouraged after getting a flood of messages from tools like Pylint. Perhaps you were even annoyed by it. This talk will help you get motivated and get started and how to automate that with continuous integration tools such as GitHub Actions. In this talk, I will share my experience with adding various code and non-code checks to GRASS GIS which is primarily written in C, C++, and Python. Checking a mixed code base with over 30 years of development is not easy, but not impossible. The talk will cover code quality measures in GRASS GIS such as tests, Pylint, Black, GCC, CodeQL, and Super-Linter and how this compares to my experience with new and small organizational repositories. Vaclav Petras https://talks.osgeo.org/foss4g-2022/talk/DQPT8L/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/0d23451d-accc-433c-8609-3938dda199b7https://video.osgeo.org/w/o3yenBAuxKWy7wbC4NYo1Jhttps://video.osgeo.org/lazy-static/thumbnails/f299b6fb-ec6a-4ba4-a22c-e164b37e368c.jpgFOSS4G 2022 | SMASH, state of the art of the digital field mapping project.SMASH, the smart mobile app for surveyor’s happiness, is a slick app dedicated to digital field mapping. The open source flutter app for Android, IOS (and upon request Linux, Macos and Windows) is packed with features, as for example: Geopackage and PostGIS editing support, Kalman filter on gps logs, geo-fences, native geotiff and shapefile visualization support, SLD styling for vector datasets. SMASH’s web counterpart is the Survey Server, a web application that allows groups of surveyors to centralize data collection. Users can synchronize the data from the app, but also download dedicated forms and projects, as well as basemaps and datasets. The server is built upon the same technology as the mobile app and visualizes the data with the same look and feel. Notes serverside-versioning has been introduced to enhance synchronization of data by teams. A redmine plugin is being developed by community members to create a geo-ticketing system. This presentations gives an insight about the state of the art of the SMASH ecosystem and its current roadmap. Andrea Antonello Silvia Franceschi https://talks.osgeo.org/foss4g-2022/talk/EBANJZ/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/b284669e-1979-4419-b113-5d79fd7857c2https://video.osgeo.org/w/rujw9TTZjeMBunmo3xyAZAhttps://video.osgeo.org/lazy-static/thumbnails/135091a1-3947-4609-b2ec-74004731a638.jpgFOSS4G 2022 | OSGeo community interactionsOSGeo is an international organization, and the members are people from everywhere in the world . OSGeo is cares and loves the community. When you move from "other" G software to FOSS4G you become part of the community. This community has a range of roles like users of the geo-spacial software, conference organizers, geo-spacial software developers, committee members, and some many more. We are a complex organization. As the second objective of this talk I would like to explain our organization. The preface of the main objective: These last two years have been hard times for everyone, we have been locked down, working remotely and unable to interact in person with our colleagues, and probably on this FOSS4G some members will not be able to be face to face during this FOSS4G 2022 in Florence, Italy. The main objective: I would like to share the "autographs & good wishes" from the OSGeo community members that I've meet along these 7 years that I've been participating on the organization. Vicky Vergara https://talks.osgeo.org/foss4g-2022/talk/KWJEGF/ #foss4g2022 #generaltrack #TransitiontoFOSS4Ghttps://video.osgeo.org/videos/embed/ce68b491-77fa-4c43-b1cb-db282352dd84https://video.osgeo.org/w/12WWVpyaZKwQCXvWt5PWDHhttps://video.osgeo.org/lazy-static/thumbnails/c03085da-e26c-4584-b7c1-d1355dc6b596.jpgFOSS4G 2022 | The Copernicus Data Store (CopDS) - a reimagining of the Copernicus Climate Change…The Copernicus Data Store (CopDS) - a reimagining of the Copernicus Climate Change Service (C3S) Climate Data Store (CDS) The Copernicus Climate Change Service (C3S) Climate Data Store (CDS) is a single point of access to a wide range of free, quality-assured climate data, along with a suite of tools for performing cloud-based analysis and visualisation of very large datasets. Launched in 2018, the CDS provides over 100 datasets and 30 interactive applications for a global, interdisciplinary and intersectoral audience of over 100,000 users. The Copernicus Data Store (CopDS) project aims to reimagine the CDS, making use of modern technologies and knowledge gained during the development of the existing system to expand and streamline its functionalities and improve its performance and scalability. We present a high-level blueprint of the in-development CopDS, with an emphasis on how we plan to overcome the limitations of the original CDS. We explore our plans for the development of a new suite of open-source Python tools for performing retrieval, analysis and visualisation of climate and atmospheric data under the CopDS project, along with our plans for offering free cloud-based infrastructure for processing and visualising very large datasets through an easy-to-use Python web interface. We also discuss the development of tools for transforming simple Python code into high-quality web applications for exploring CopDS climate and atmospheric datasets, providing tools for interactive mapping, graphical user interfaces and a results cache for responsiveness. Edward Comyn-Platt James Varndell https://talks.osgeo.org/foss4g-2022/talk/BZZ78F/ #foss4g2022 #generaltrack #AEuropeanapproachtogeospatialopensourcehttps://video.osgeo.org/videos/embed/00459b23-3f8c-4887-90f0-c50e34c8389bhttps://video.osgeo.org/w/mDCmQXBUbyXWcWCBByQyf1https://video.osgeo.org/lazy-static/thumbnails/afd3f6ec-71af-4766-a27b-a58b92f8aaac.jpgFOSS4G 2022 | FAIR-ization of INSPIRE datasetsBelgian federal authorities are working on PSI/INSPIRE conversion tool. We have produced an enhanced DCAT AP 2.0 profile. We have proposed to use ATOMFeed to instantiate dcat:Distribution classes because of their semantic completeness. We have tried to keep most of the INSPIRE metadata elements in order to keep the work that has been done for some years.. Now we are working on its implementation through GeoNetwork 4.x microservices that would provide a consistent DCAT AP RDF/XML with many languages. By doing this we consider that our datasets will be more accessible through many platforms and open data portals and will become real FAIR data. This work is the result of the strong collaboration between federal belgian authorities (e.g. Cadaster, National Mapping Agency, Office of federal statistics, ...).Moreover we are involving regional authorities in order to reach a certain harmonization. Now we would like to share these developments with the opensource community. You can find more information here https://github.com/belgif/inspire-dcat. Céline Vilain https://talks.osgeo.org/foss4g-2022/talk/ZYC7RM/ #foss4g2022 #generaltrack #AEuropeanapproachtogeospatialopensourcehttps://video.osgeo.org/videos/embed/a737b330-3b1c-4cac-9838-212e9898decchttps://video.osgeo.org/w/vJWwsy7qmVAnBZ6j981JUAhttps://video.osgeo.org/lazy-static/thumbnails/bdf23907-ffe0-4290-899e-350111822c5d.jpgFOSS4G 2022 | How to join OSGeo (for projects)Welcome to the Open Source Geospatial Foundation, proud hosts of FOSS4G, and advocate for free and open source geospatial software everywhere. This is a call out to open source software developers; please join OSGeo and help us help you! Join OSGeo today: - Even just listing your project on the osgeo.org website is a great first step. Help us promote your technology so users can discover and enjoy your software. - The OSGeo “community program” gives project teams a chance to join the foundation with an emphasis on supporting innovation and new projects. The foundation provides some direct support, assistance along with endorsement and recognition from our board. - For established projects please join our “incubation program” to be recognized for excellence and as a full OSGeo committee. Unlike other foundations, OSGeo does not require that you give up or transfer any Intellectual Property; we simply ask that you be spatial, open-source, and open to participation. This presentation gives clear instructions on how to join OSGeo, and representatives from recent successful projects will be on hand to answer your questions. Tom Kralidis Jody Garnett https://talks.osgeo.org/foss4g-2022/talk/GK8T9L/ #foss4g2022 #generaltrack #TransitiontoFOSS4Ghttps://video.osgeo.org/videos/embed/f0d7dc9e-2275-4117-b596-43a8eb74bc42https://video.osgeo.org/w/i2dJizqrFfR43gHg8U9dA1https://video.osgeo.org/lazy-static/thumbnails/0c5507ca-9a74-4214-91c1-c1e05cff1050.jpgFOSS4G 2022 | EO Open Science Catalogue initiative by ESATo enable sustainable and impactful Open Science in the long-term, ESA Earth Observation looks to design and implement a comprehensive Open Science framework, which includes a dedicated set of integrated tools and common practices for effective scientific data management, seeking to support Open Innovation, advance Science and increase community participation. The framework will build on and advance existing Open Science elements and will develop new capabilities to achieve the ambitions and vision set forth in the 2025 Agenda, supporting the European Green Deal. The four main pillars of the initiative are: i) EO Digital Platforms, interoperability and standardisation, ii) Accessible and Reproducible EO Science, iii) Inclusive and collaborative research and iv) Strategic Partnerships. Contributing to the second pillar, ESA is developing an EO Open Science Catalogue tool to enhance the discoverability and use of products, data and knowledge resulting from Scientific Earth Observation exploitation studies. Adhering by design to the "FAIR" (findable, accessible, interoperable, reproducible/reusable) principles, the Open Science Catalogue aims to support better knowledge discovery and innovation, and facilitate data and knowledge integration and reuse by the scientific community. The Open Science Catalogue is based upon the EO Exploitation Platform Common Architecture (https://eo4society.esa.int/2022/01/26/interoperability-sharing-your-application-where-the-data-sit/) (EOEPCA) and shares its basic Open Source components, but extends it with additional functionalities: - The Static Catalogue is a hosted STAC Catalogue, comprised of static Catalogue, Collection, and Items that represent the Themes, Variables, Projects, and Products - The Open Science Catalogue Frontend is a Vue.js based client application, that allows the efficient browsing of the Open Science Catalogue - The Backend API allows users to make submissions to create, update, and delete Themes, Variab...https://video.osgeo.org/videos/embed/89d6f21b-e83b-4d06-9fe9-1134b0251884https://video.osgeo.org/w/74u1rsbKTbSxB2iPk49AF2https://video.osgeo.org/lazy-static/thumbnails/38f36605-73a4-491c-9d78-efdde920468a.jpgFOSS4G 2022 | Revamped INSPIRE Geoportal - Cooking the next generation of spatial data cataloguesIn force since 2007, the INSPIRE Directive has established a European Spatial Data Infrastructure to support European Union (EU) policies relevant to the environment. The INSPIRE Geoportal (https://inspire-geoportal.ec.europa.eu) constitutes its main component, being the central point of access to all datasets published by EU Member States falling under the scope of the Directive. Using the INSPIRE Geoportal, users can search for, access, visualize and download datasets published by more than 7000 data providers from across Europe. In line with the open source strategy of the European Commission and the ambition towards a sustainable evolution of the INSPIRE infrastructure based on open source components, since 2021 the INSPIRE Geoportal is has been revamped by using cutting-edge, open source applications and open standards, while redesigning the way in which information and services are offered to users. The process comprises deep changes in the Geoportal backend, totally renovating the underlying catalogue application: management interface, powerful harvesting engine, set of metadata, data and service linking tests, search engine, automatic metadata translation capabilities, containerization and deployment in a cloud environment. In addition, a new frontend (user interface) is integrated with the mentioned backend using APIs, making both layers more independent in terms of technological stack and update cycles. The application selected for achieving these goals is GeoNetwork opensource, currently constituting the catalogue choice of around 80% of Member States national geospatial data portals in the EU. Since its inception in 2001, it has been developed with a strong focus on international standards and many new features have been added over the years. During the last year, the GeoCat staff and the INSPIRE team at the European Commission’s Joint Research Centre have closely collaborated in the development of a new powerful and versatile system for delivering th...https://video.osgeo.org/videos/embed/311352d3-e343-41da-8fce-ffd894062e2fhttps://video.osgeo.org/w/cgsQEnB3ecBhNZovfgPZRBhttps://video.osgeo.org/lazy-static/thumbnails/c14c50b8-402e-4b45-b5ce-6c8f9ae656bd.jpgFOSS4G 2022 | Open source at the European CommissionThis talk by Thomas Gageik, Director Digital Business Solutions (DIGIT.B) at the European Commission will get you up to speed on the most recent actions to encourage free and open source in and around the Commission. This is an introduction to the session organised by the EC, and we will show you what has changed since the adoption of the reinvigorated open source strategy in October 2020. Our topics include: what have we done to make it easier for the Commission to share software as open source, and how can we contribute to existing free/open source software tools. We will show you how the Commission is helping to strengthen the security of open source software, and how we are networking with other organisations to help open source to progress in public services across the EU. The talk will also introduce you to the open source programme office. The EC OSPO, created in 2020, is here to help Commission projects with free/open source. Gijs Hillenius Thomas Gageik https://talks.osgeo.org/foss4g-2022/talk/QHNCVZ/ #foss4g2022 #generaltrack #AEuropeanapproachtogeospatialopensourcehttps://video.osgeo.org/videos/embed/5b3d38d0-3540-4a63-b957-cd49e3af4189https://video.osgeo.org/w/a5qqstjqUKiA69S55bjmrXhttps://video.osgeo.org/lazy-static/thumbnails/715f38b8-8ff1-4e3a-896f-fe2f4aa2ae33.jpgFOSS4G 2022 | SkinnyWMS Meteorological Web Map ServiceThe European Centre for Medium-Range Weather Forecasts (ECMWF) is an intergovernmental organisation that produces global numerical weather predictions and other data for its Member and Cooperating States and the broader community. It hosts one of the largest meteorological data archives in the world. ECMWF supports the open data community by providing data through its Public Datasets program and Open Charts. Additionally, the Centre has a long history of and extensive expertise in developing and providing software to process and visualize meteorological data. In concert with these efforts, we developed SkinnyWMS – a lightweight Web Map Service for meteorological data. SkinnyWMS is currently used in the Copernicus Climate Data Store (CDS) and Germany’s Meteorological Service (DWD) Geoportal. It provides out-of-the-box interactive visualisation for a large set of meteorological parameters. It offers built-in support for data stored in GRIB (WMO standard) and NetCDF (OGC standard) formats, which are commonly used in meteorology, climatology, and oceanography. SkinnyWMS is written in Python and is based on ECMWF’s existing free and open source software ecCodes and Magics. It is free and open source software available under the Apache License 2.0. SkinnyWMS’ code is hosted on GitHub and it's available as an Anaconda package, from PyPi and as a Docker image from Docker Hub. Eduard Rosert https://talks.osgeo.org/foss4g-2022/talk/B7WFKK/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/498045fd-cbb2-469f-b9e7-58eb35032ca1https://video.osgeo.org/w/2THDGFX8i4x7ZtRu8gZYcchttps://video.osgeo.org/lazy-static/thumbnails/a4baa7f6-82a6-4e89-b20d-84f43e049112.jpgFOSS4G 2022 | MapStore, a year in review*MapStore* is an open source product developed for creating, saving and sharing in a simple and intuitive way maps, dashboards, charts and geostories directly online in your browser. MapStore is cross-browser and mobile ready, it allows users to: - _Search_ and load geospatial content served using widely used protocols (WMS, WFS, WMTS, TMS, CSW) and formats (GML, Shapefile, GeoJSON, KML/KMZ etc..) - _Manage maps_ (create, modify, share, delete, search), charts, dashboard and stories directly online - _Manage users_, groups and their permissions over the various resources MapStore can manage - _Edit data online_ via WFS-T with advanced filtering capabilities - _Deeply customize the look&feel_ to follow strict corporate guidelines - _Manage different application contexts_ through an advanced wizard to have customized WebGIS MapStore viewers for different use cases (custom plugins set, map and theme) You can use *MapStore* as a product to deploy simple geoportals by using the standard functionalities it provides but you can also use MapStore as a framework to develop sophisticated WebGIS portals by reusing and extending its core building blocks. *MapStore* is built on top of React and Redux and its core does not explicitly depend on any mapping engine but it can support both OpenLayers, Leaflet and Cesium; additional mapping engines could be also supported (MapBox GL is in the working) to avoid any tight dependency on a single engine. The presentation will give the audience an extensive overview of the MapStore functionalities for the creation of mapping portals, covering both previous work as well work for the future releases. Eventually, a range of MapStore case studies will be presented to demonstrate what our clients (like City of Genova, City of Florence, Halliburton, Austrocontrol and more) and partners are achieving with it. Lorenzo Natali Emanuele Geri https://talks.osgeo.org/foss4g-2022/talk/G7DJ79/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/0f51bd19-868a-41ab-8db3-e564a81ce721https://video.osgeo.org/w/bpoEn7EiXamW4XvjNiC2nFhttps://video.osgeo.org/lazy-static/thumbnails/fe909a5b-8b13-4d79-9ea3-f2d907a3db1e.jpgFOSS4G 2022 | STAC Best Practices and ToolsThe SpatioTemporal Asset Catalog (STAC) specification is a common language for describing geospatial information that is flexible enough to extend across domains and use cases. In this talk, we walk through best practices for building STAC catalogs and using STAC extensions, using real world examples. These best practices are informed by documentation, conversations with STAC contributors, and discussions within the wider community. We survey the ecosystem of open-source STAC software, which includes libraries and tools written in Python, Node.js, and more. We show examples of reading, modifying, and writing STAC catalogs with a selection of software, including PySTAC and stactools, and we show which metadata to include in your STAC objects to ensure interoperability with powerful tools like xarray and pandas. Whether you are new to the STAC ecosystem or an experienced contributor, this talk will provide you with the context and tools you need to build your best STAC! Matthew Hanson Pete Gadomski https://talks.osgeo.org/foss4g-2022/talk/9RRYZM/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/543f757c-0d01-4672-9b73-740cb7904e7dhttps://video.osgeo.org/w/ePmA7QqecL4SyFj6hTRv2Ghttps://video.osgeo.org/lazy-static/thumbnails/caefaad4-93c0-4cd7-884b-a8d0f51f9d71.jpgFOSS4G 2022 | Streamlining QGIS workflows with PostgreSQL editable views and triggersWhen using QGIS as a user interface for a PostgreSQL- & PostGIS-based registry database, user experience plays a high role. The data schemas of a registry database can hold a complex set of relations and database objects which can be hard to set up within QGIS. This was the case with a waste soil transportation registry that we developed for the City of Tampere, Finland. The main goal of the registry is to optimize soil transportation from construction sites by communicating and making it visible what soil categories are available and needed where and when. The registry enables significant savings in transportation costs as well as substantial reductions in climate emissions. When the relational data model gets complex, you can deploy different strategies for setting up the workflows within QGIS. One possible solution is to use editable views and triggers for enabling user-friendly workflows in QGIS. This was the case in our soil registry project. The data model, as it was, would have forced the user to create multiple new features to the database tables when he/she just wanted to add a single soil transfer from one construction site to another. This was seen as too tedious when repeated constantly. The solution was to make a database view that the user could edit in QGIS, in addition to deploying database triggers for creating the right database features, with the proper data into the correct database tables. This presentation seeks to show how the strategy was deployed and what challenges we met during the development. Lauri Kajan https://talks.osgeo.org/foss4g-2022/talk/XAFBUK/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/6fe3729d-f4dd-4ff5-bcb6-b4a050bf168ehttps://video.osgeo.org/w/wSLiiFCEyARnDBbTjsyKHUhttps://video.osgeo.org/lazy-static/thumbnails/5ea17409-65cc-4859-8ae0-645adcec0e7b.jpgFOSS4G 2022 | News from actinia - let's STAC!„Hello again, my name is actinia. Still new to OSGeo and a Community Project since 2019, you might have heard about me already. In short I am a REST API on top of GRASS GIS to allow location, mapset and geodata management and visualization as well as execution of the many GRASS GIS modules and addons. Processing with other tools like GDAL and snappy is supported as well. I can be installed in a cloud environment, helping to prepare, analyse and provide a large amount of geoinformation. Besides these facts about me there is also a lot to tell about what happened last year! Besides vector upload, citable DOI, QGIS and python client implementations and more, I can be a Spatio Temporal Asset Catalog myself with the actinia-stac-plugin, am able to use data registered in a STAC for processing and after processing register the resulting data. With the ongoing development of the openeo-grassgis-driver, you can use this new functionality either in my native language or via openEO API. To learn about the details, come on over!“ Markus Neteler Carmen Tawalika Jorge Herrera Anika Weinmann https://talks.osgeo.org/foss4g-2022/talk/TD3HNC/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/fa08a5ec-1ced-4d3a-be7e-e69e8f2a852ahttps://video.osgeo.org/w/r3BwpVcCTbfCcanQq2YTy2https://video.osgeo.org/lazy-static/thumbnails/efde0261-9f6d-44e6-abd0-4f25096dd14f.jpgFOSS4G 2022 | State of TerriaJSTerriaJS is an open-source framework for web-based geospatial catalogue explorers. It uses Cesium and Leaflet to visualise 2D and 3D geospatial data, and it supports over 50 different Web APIs, file formats and open data portals. It is almost entirely JavaScript in the browser, meaning it can even be deployed as a static website, making it simple and cheap to host. TerriaJS is used across the globe to create next-generation Digital Twin Platforms for open geospatial data discovery, visualisation and sharing - it is used to drive - National Map (https://nationalmap.gov.au/) (Australian Gov) - Digital Earth Australia Map (https://maps.dea.ga.gov.au/) - Digital Earth Africa Map (https://maps.digitalearth.africa/) - Pacific Map (https://map.pacificdata.org/) - NSW Spatial Digital Twin (https://nsw.digitaltwin.terria.io/) (Australian State Gov) - and many others In this talk, I will give: - Background information about TerriaJS and how it is used by the community - Current state of the project for users, developers and wider community - New features - Future plans! https://terria.io/ https://github.com/TerriaJS/terriajs Nick Forbes-Smith https://talks.osgeo.org/foss4g-2022/talk/BBJNWQ/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/cad1d8c1-43bd-4fb0-b93d-6c39e61d61bdhttps://video.osgeo.org/w/c1TPLJt8yfxXavr7h1qnXDhttps://video.osgeo.org/lazy-static/thumbnails/25cc0982-1c29-4761-bbe8-6aae24866e75.jpgFOSS4G 2022 | The State of Cloud-Native GeospatialThe vision of “Cloud-Native Geospatial” is a new paradigm of performing efficient computing and data access in the cloud in an interoperable way in order to achieve scalable and repeatable analysis of geospatial data. The last few years have seen major developments in open standards and open software that are helping make this vision possible, supporting full end to end interoperable workflows on remote sensing data, from data discovery to publishing of interoperable derived products. This talk will present the current state of the Spatio Temporal Asset Catalog (STAC) specifications (stac-spec and stac-api-spec), updates in the published STAC extensions, and the latest community developments around Analysis Ready Data (ARD). We will cover the landscape of current recommended cloud-optimized file formats, for raster, vector, and point-cloud data formats (COG, Zarr, GeoParquet, COPC). Finally, we will provide recommendations for open-source client software to use to take advantage of the emerging geospatial clouds. Matthew Hanson https://talks.osgeo.org/foss4g-2022/talk/FSK8U3/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/59347674-6eb0-48d5-917e-994d0bd0354fhttps://video.osgeo.org/w/vLYVBjyjyBjGR2MeLUKwmbhttps://video.osgeo.org/lazy-static/thumbnails/b5f5f64a-bfce-49b2-b370-b77f9021d2c1.jpgFOSS4G 2022 | State of GeoNetworkThe GeoNetwork-opensource project is a catalog application facilitating the discovery of resources within any local, regional, national or global "Spatial Data Infrastructure" (SDI). GeoNetwork is an established technology - recognized as an OSGeo Project and a member of the foss4g community for over a decade. The GeoNetwork team would love to share what we have been up to in 2022! The GeoNetwork team is excited to talk about the different projects that have contributed with the new features added to the software during the last twelve months. Our rich ecosystem of schema plugins continues to improve; with national teams pouring fixes, improvements and new features into the core application. We will also talk a bit about the health and happiness of the GeoNetwork opensource team. Progress of our main branches (3.12.x and 4.0.x), and release schedule. Attend this presentation for the latest from the GeoNetwork community and this vibrant technology platform. Florent Gravin Jody Garnett Jose García Jeroen Ticheler Francois Prunayre https://talks.osgeo.org/foss4g-2022/talk/XNSHYD/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/f120d3ee-b919-48fb-9876-177ff557f702https://video.osgeo.org/w/7dNbtdUHtpoj46h6S1cBf8https://video.osgeo.org/lazy-static/thumbnails/3a32658c-26ef-48ac-b868-d0972082cd29.jpgFOSS4G 2022 | YouthMappers: a global youth movement on open mapping for humanitarian and…YouthMappers: a global youth movement on open mapping for humanitarian and development action Increasingly ubiquitous open spatial technologies offer the opportunity for new actors to participate in creating knowledge about the places where they live and work, and where they navigate the shocks and stresses of an uncertain world. This presentation offers insights about university student engagement in open mapping through the experiences of YouthMappers around the world. This inclusive international network of youth-led, faculty-mentored, and technology-enabled chapters on more than 300 campuses in 65+ countries work together to organize, collaborate, and implement mapping action that respond to needs around the globe. Specific examples will illuminate how students are creating and using spatial information that is collected using open software tools and made publicly available through open platforms, and in turn inform us about both the power and the limits of open spatial technologies in the hands of students working to build a more resilient, equitable and sustainable future. Patricia Solis https://talks.osgeo.org/foss4g-2022/talk/TZBQC9/ #foss4g2022 #generaltrack #Educationhttps://video.osgeo.org/videos/embed/32603789-e7c8-45d0-8a7e-06e33b948a57https://video.osgeo.org/w/hP9FyoTbDEsVRGQWFzfrMyhttps://video.osgeo.org/lazy-static/thumbnails/1760f0a5-7c33-48a1-bd6f-6fbabc116599.jpgFOSS4G 2022 | Opening SessionOpening session with institutional greetings. Luca Delucchi https://talks.osgeo.org/foss4g-2022/talk/YSAHS9/ #foss4g2022 #generaltrackhttps://video.osgeo.org/videos/embed/882786b8-45a1-4ad8-a8ff-872a44d68af6https://video.osgeo.org/w/jq6daNafHeya2PMSzBQoSrhttps://video.osgeo.org/lazy-static/thumbnails/d035a73b-2224-4e62-aac7-3d73d9bb0587.jpgFOSS4G 2022 | State of GeoPandas and friendsGeoPandas is one of the core packages in the Python ecosystem to work with geospatial vector data. By combining the power of several open source geo tools (GEOS/Shapely, GDAL/fiona, PROJ/pyproj) and extending the pandas data analysis library to work with geographic objects, it is designed to make working with geospatial data in Python easier. GeoPandas enables you to easily do operations in Python that would otherwise require desktop applications like QGIS or a spatial database such as PostGIS. This talk will give an overview of recent developments in the GeoPandas community, both in the project itself as in the broader ecosystem of packages on which GeoPandas depends or that extend GeoPandas. We will highlight some changes and new features in recent GeoPandas versions, such as the new interactive explore() visualisation method, improvements in joining based on proximity, better IO options for PostGIS and Apache Parquet and Feather files, and others. But some of the important improvements coming to GeoPandas are happening in other packages. The Shapely 2.0 release is nearing completion, and will provide fast vectorized versions of all its geospatial functionalities. This will help to substantially improve the performance of GeoPandas. In the area of reading and writing traditional GIS files using GDAL, the pyogrio package is being developed to provide a speed-up on that front. Another new project is dask-geopandas, which is merging the geospatial capabilities of GeoPandas with the scalability of Dask. This way, we can achieve parallel and distributed geospatial operations. Joris van den Bossche https://talks.osgeo.org/foss4g-2022/talk/7WJNCB/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/95218e98-c1a2-4ae6-9b00-3a5f290154d5https://video.osgeo.org/w/kpceBiSb7QuYbRHyMknCUjhttps://video.osgeo.org/lazy-static/thumbnails/c2a48de0-27c7-4355-ba89-fdc068761f61.jpgFOSS4G 2022 | Serving oblique aerial imagery using STAC and Cloud Optimized GeotiffsIn this talk we are going to present how the Danish Agency for Data Supply and Efficiency (SDFE) transitioned from a purely proprietary system to an open source system based on SpatioTemporal Asset Catalog (STAC) API and Cloud Optimized GeoTiffs (COGs) for servingservicing its open data collection of 5 million oblique aerial images. The new system is built partly using existing open source components and partly on newly built open source components. It uses significantly less resources and lets third party users access the data in a standardized way. An important part of the process has been to develop and propose a community STAC extension for perspective imagery. This extends the STAC base metadata with parameters which are needed to do photogrammetric calculations and measurements using the images. The potential of this extension is that it enables the community to build generic perspective imagery clients in which the user can do advanced photogrammetric measurements. To ensure support for existing clients and to lower the barrier to entry the system also supports clients without COG reading abilities. Using open source components we have built "CogTiler" a high performance tile server which serves jpeg tiles directly from the COGs. Most of the time this is accomplished without decompressing the jpeg data. SDFE required that all code written for this project be open source and easily available to anyone. Therefore, all the code is available on GitHub. Asger Skovbo Petersen https://talks.osgeo.org/foss4g-2022/talk/SQYE9A/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/9d1aaa32-e110-4724-92d1-820924b2db02https://video.osgeo.org/w/5E5cb6qydamviMwHn5C3kQhttps://video.osgeo.org/lazy-static/thumbnails/e961c250-02a8-4e59-bf90-7364efad8144.jpgFOSS4G 2022 | LERC, an innovative compression algorithm for raster dataAlthough in use for about 10 years in various Esri products and services, the LERC (Limited Error Raster Compression) raster compression algorithm has only just recently made its way into the free and open-source GIS scene by its inclusion in GDAL (3.3). LERC can perform both lossless and lossy raster data compression. To achieve its impressive compression ratios and speed LERC employs two major basic tricks: - The raster is processed and compressed in small two-dimensional blocks, taking advantage of spatial autocorrelation (neighboring values usually being more alike than others). - The raster values are quantized (absolute values are replaced by differences between neighbors) and bitstuffed to minimize the number of bits required to store them, this is especially useful for high bit depth data. For lossy compression LERC will follow a user-configurable maximum error threshold (the "limited error" in its name). Want to compress your DEM and allow up to one centimeter of error? No problemo! LERC is patented by Esri but thanks to the choice of the permissive Apache License it is freely usable by anyone. The talk will try explain the algorithm on a basic level, understandable by non-experts, and show its performance with some examples. Johannes Kröger https://talks.osgeo.org/foss4g-2022/talk/GPC8U8/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/25b566d6-d86b-4193-a28f-a64e29a8ad06https://video.osgeo.org/w/jCJnwAorUixM72c3bX7RwHhttps://video.osgeo.org/lazy-static/thumbnails/f3f25130-0e7e-4097-b049-4221c1a1d780.jpgFOSS4G 2022 | State of Oskari (for developers)Oskari is used world wide to provide web based map applications that are built on top of existing spatial data infrastructures. Oskari offers building blocks for creating and customizing your own geoportals and allows embedding maps to other sites that can be controlled with a simple API. In addition to showing data from spatial services, Oskari offers hooks for things like using your own search backend and fetching/presenting statistical data. This presentation will go through the improvements to existing functionalities and new features introduced in Oskari during the last year. The focus will be on functionalities from developer perspective like: - Improvements for working with vector features - API-improvements for embedded maps. - Rewrite of service capabilities parsing and handling - Planned developments for better theming support and mobile-device friendliness for the geoportal You can try some of the functionalities Oskari offers out-of-the-box on our sample application: https://demo.oskari.org. Link: https://oskari.org Sami Mäkinen https://talks.osgeo.org/foss4g-2022/talk/CC93KV/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/96e5623d-e413-45b0-8460-50826b3e4779https://video.osgeo.org/w/uTf7ParPWmehJzhYk6VJkShttps://video.osgeo.org/lazy-static/thumbnails/c3fc89f2-a69d-43ec-b32f-650d45923d91.jpgFOSS4G 2022 | Generation of 3D geometries with Artificial Intelligence for the prediction of…Generation of 3D geometries with Artificial Intelligence for the prediction of volumetry of the Urban Code of the City of Buenos Aires To make the Platform possible and meet the objectives set, it was necessary to work with different areas of the government involved in urban planning and systems, promoting the opening of data to generate a sustainable process over time for the automatic and dynamic system of interpretation of the Urban Code that governs the constructive and urban behavior of the city of Buenos Aires, which is the basis of this technological solution. The platform is based on the “Digital Twin” concept, that is, a virtual and digital replica of a city's urban plan. The objective is to test any initiative on this virtual model before its real implementation, in order to reduce costs and risks. The tool was developed entirely with open source resources and technologies so that other organizations can study, modify and improve its design through the availability of its source code. Regarding its architecture, the platform works from the information extracted from the datasets of the areas referred to the urban fabric and parcels. Then, from a set of processing algorithms that works with systematized rules generated from the text of the urban code regulations, this information is processed, allowing the generation of 3D graphics of each of the city parcels. The volumetry of each parcel allows to know the buildability, the maximum allowed height and the allowed construction alternatives for each parcel, which integrate the platform's viewer. Ariel Anthieni https://talks.osgeo.org/foss4g-2022/talk/NSLFQ9/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/e9e783d3-ab32-42ba-b74e-21e91e2da5e0https://video.osgeo.org/w/gS8PJTy51AkZB4Ba3zvgKfhttps://video.osgeo.org/lazy-static/thumbnails/4401ff7c-2db5-4dc2-9d63-99cc24f8c94a.jpgFOSS4G 2022 | KartAi – An open living lab for Ai in NorwayHigh resolution aerial photos combined with accurate map data represents a perfect data set for training artificial intelligence models. The ‘KartAi’ project is an innovation project in public sector aimed at developing Ai-methods that detects buildings not in the cadastre or the building map dataset. Thereafter involving the property owner/citizen in a digital dialog and validate or crowdsource more detailed data. The foundation for this is high quality datasets for training and validating the different Ai-models. High resolution aerial photos are collected in large parts of Norway on a regular basis – often yearly – in a collaboration between federal and municipal. Thereby there exists a vast amount of extremely detailed image data combined with building map data and cadastre data. However, training the Ai-models have uncovered that minor errors and ‘skewed’ photos and/or vector data affects the results of the segmentation of roof tops/buildings. Therefore the KartAi projects has made fine tuned and accurate training data sets in several geographical areas optimized for training on detecting and segmenting buildings. In several large scale experiments, a multitude of existing models, newer models and own models have been training and validated. Additionally we have included LIDAR-height data to enhance the precision of segmenting between the likes of roofs and terraces. Training the models on the existing data yields good results. However, when finetuning with the high accurate data – the models show impressing results. Spatial Ai projects like KartAi are at the mercy of volumes of good training data. Our experience show that even more accurate data sets improve the models even further. Therefore, the project has made efforts that have resulted in the release of the training data sets publicly – as well as all of the results data for the different models and approaches that have been developed. This is an effort into developing a more open living lab for Spatia...https://video.osgeo.org/videos/embed/807916ec-f0af-483e-af58-ffed07cab480https://video.osgeo.org/w/q5Ty6tSoZfWBFwGEmTqhtqhttps://video.osgeo.org/lazy-static/thumbnails/f5fd6a6c-3138-4788-b729-f4d4af5e9735.jpgFOSS4G 2022 | No-code geoAIArtificial Intelligence (AI) has made an impact in almost every field and has become an incredibly powerful technology. However, while some players in big tech and academia have access to a highly skilful workforce that can create sophisticated AI solutions, many companies, governments, public organisations, and other societal stakeholders are lacking sufficient AI expertise and know-how. Many AI and Machine Learning (ML) frameworks aim to simplify and democratise AI development, even if typically focusing on those with software engineering skills. Some of these solutions, those that provide no-code tools, get the closest to the ideal of enabling "any person without prior training”. Collectively, these could represent a major breakthrough, as it has been proven time and time again that many businesses and organisations still struggle to implement AI to its full potential and scale. Visual, often drag-and-drop, no-code AI tools can make AI less intimidating and more comprehensible to non-technical profiles and those who lack the time and resources to build such systems from the ground up. No-code AI frameworks are expected to require minimum technical knowledge to develop practical AI solutions at scale. This is an emerging field, like was previously the case with no-code web development, starting with Dreamweaver and MS Frontpage, the first WYSIWYG (what you see is what you get) solutions, both launched in 1997. The European Commission is supporting the establishment of an AI-on-demand platform that will provide easy and simple access to AI tools that are made in Europe and are ‘trustworthy’. The platform will gather all the AI resources (algorithms and tools), and make them available to the potential users, businesses, and public administration, with the necessary services to facilitate their integration. Within the context of the EU’s commitment to trustworthy AI, we are exploring the landscape of AI solutions for non-experts, including no-code, low-code, A...https://video.osgeo.org/videos/embed/c30a12e4-b959-481f-b307-bf13c7099866https://video.osgeo.org/w/qH56E3Mgmg4oVx1CECaxwEhttps://video.osgeo.org/lazy-static/thumbnails/3b16f0a8-0350-403d-b5d2-9584fafe24bb.jpgFOSS4G 2022 | Crowdsourcing the Future of Government Data: OpenStreetMap in the Public DomainIs your government utilizing OpenStreetMap data in their workflows? How can crowdsourcing be leveraged to improve the completeness, freshness, and breadth of government geospatial data? As the world’s largest crowdsourced geospatial database, OpenStreetMap is poised to serve this need. Two years ago, OpenStreetMap US formed a Government Working Group to seek out mutually beneficial relationships between the public and open data communities. As part of this effort, OSM community members and representatives from federal agencies have been investigating solutions for feature collection. This collaboration has led to the development of Public Domain Map, which connects OpenStreetMap and government datasets. Through the Public Domain Map workflow, OpenStreetMap and government open geospatial data becomes more complete, current and readily usable by government agencies and the millions of users relying on both datasets. In this session, I will share the journey of Public Domain Map, how the project is bringing together US federal agencies and open source contributors to meet this goal, and how you can be part of it. Maggie Cawley https://talks.osgeo.org/foss4g-2022/talk/ZGSGBQ/ #foss4g2022 #generaltrack #OpenDatahttps://video.osgeo.org/videos/embed/c81758fb-f310-41e6-a2ac-a68491f717b6https://video.osgeo.org/w/bhAw8HqdePZVDCyReEzt5nhttps://video.osgeo.org/lazy-static/thumbnails/5702c5e5-0744-4814-b901-0f170e328ced.jpgFOSS4G 2022 | The Open Source GIS Stack (OSGS)In the last few years, open source GIS has been developing relatively rapidly with an increase in the number of open-source GIS software available for performing various specialty functions. With this increase came the problem of managing the dependencies of different software when installing them on the same machine or getting them to work together to accomplish a task. How was the setting up process the last time you needed to make a map, share it and write about how you made the map? This is where the docker-based Open Source GIS Stack (OSGS) comes in. OSGS is a rich, integrated, and opinionated GIS Stack with a focus on configurability and ease of use built from open source components. The primary objective of the OSGS stack is to provide simple and effective end-to-end solutions based on open source geospatial technologies. Some of the key services offered by the OSGS platform are Nginx and Hugo for web publishing using static web pages, File Browser for file management, QGIS-Server for publishing web maps, PostgreSQL and PostGIS for database management, and Metabase for visualizing your data. We’ll take a look at how easy and painless making, sharing and writing about maps can be. The Open Source GIS Stack by Kartoza is maintained in the Kartoza OSGS repository https://github.com/kartoza/osgs. Victoria Neema https://talks.osgeo.org/foss4g-2022/talk/EK7KL8/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/534c8f72-5e97-4262-987c-0e4adefde0b1https://video.osgeo.org/w/jvrQjZXpyB2ej8zgMH3RsYhttps://video.osgeo.org/lazy-static/thumbnails/56c76ebe-ff22-4666-8926-4cd99d0d9f69.jpgFOSS4G 2022 | Exploring Data Interoperability with STAC and the Microsoft Planetary ComputerAs a part of its AI4Earth initiative, Microsoft has created a Planetary Computer (PC) for hosting and processing open geospatial data. In addition to publishing a wide range of datasets, including Sentinel-2, MODIS, and more, the PC provides a powerful API and compute system based on open-source geospatial tools and using STAC metadata for data query, discovery, and access. In this talk, we present the latest in open geospatial data access, discovery, processing, and visualization using a variety of datasets from the Planetary Computer. We demonstrate use of the odc-stac package, which leverages the power of the OpenDataCube computing platform without the need for a database backend, and how odc-stac can load, mosaic, and transform geospatial assets into xarray datasets. We dive into other data interoperability tasks, including scaling processing with Dask and leveraging a variety of cloud-native formats. Along the way, we provide recommendations for data providers and curators on how to ensure their data can be used in a rich, interoperable way by the latest in geospatial processing tools. Pete Gadomski https://talks.osgeo.org/foss4g-2022/talk/L3KNY8/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/95e0fc4a-1db6-4eba-8ed9-fb90ba71c240https://video.osgeo.org/w/31pLLpzeQUd43UaLeRRBsUhttps://video.osgeo.org/lazy-static/thumbnails/b2408110-ab29-464c-a6da-34b91549a635.jpgFOSS4G 2022 | Composing Software: Spatial for the JAMstack generationIn the words of Eric Elliot; All software development is composition: The act of breaking a complex problem down to smaller parts, and then composing those smaller solutions together to form your application. Inspired by Eric’s work we have begun to modularize all the things and combine your mapping libraries (Openlayers, Maplibre, et al.) with other open source libraries (Tabulator, ChartJS) for data visualizations. Having finally broken the shackles imposed on us by the restrictions of the Internet Explorer age we can finally facilitate Javascript (ES6+) to its functional best and deliver the applications we dream of. ESBuild has revolutionized the way we compile script, and dynamic imports which have long been touted as the future are finally available to us with a little help from Skypack. In addition to tried and tested server side rendering we now have powerful vanilla Web APIs to build application views on the fly and with little reflow, and repaint. This is a talk for the opinionated JS enthusiast. Dennis Bauszus https://talks.osgeo.org/foss4g-2022/talk/NUZYVC/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/1040ed5e-a31c-463f-9359-02f2ff21925chttps://video.osgeo.org/w/pekDXQ6r2JyNLaZGqBQ3Ushttps://video.osgeo.org/lazy-static/thumbnails/d2f78603-a95e-4b3f-a457-0335be4d3eec.jpgFOSS4G 2022 | The challenges and benefits of implementing OS geo within a large contracting companyWithin large construction companies GIS is widely used to store, analyse and visualise spatial data. GIS is just one of the components of an information infrastructure and has to be an integral part that can provide data and information to other departments and subcontractors as well. Van Oord as a marine contractor deals with spatial data on a daily basis. Existing disciplines like the design team and Survey team already have their way of dealing with spatial data to fulfil their task. What is it that the organisation needs additionally to work with GIS? Van Oord has chosen to use FOSS4g software as a GIS backbone. This choice has its benefits but also poses challenges. Most competitors in the business use proprietary software. Clients do not necessarily follow standards and the IT department has to support our requirements. We are very proud of our GIS backbone and definitely see the benefits of using FOSS4G. Come and listen to the solution we have chosen; the changes we make in the business and challenges we face. Irene Pleizier https://talks.osgeo.org/foss4g-2022/talk/E8BBBU/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/bc1ef881-442f-4cad-9548-0d36fdc1c75ahttps://video.osgeo.org/w/5bEu1wFa24KK81ZniTSEMJhttps://video.osgeo.org/lazy-static/thumbnails/4ce0ec9b-1ac6-494f-939d-7593ee96d755.jpgFOSS4G 2022 | Serving earth observation data with GeoServer: COG, STAC, OpenSearch and more...Never before have we had such a rich collection of satellite imagery available to both companies and the general public. Between missions such as Landsat 8 and Sentinels and the explosion of cubesats, as well as the free availability of worldwide data from the European Copernicus program and from Drones, a veritable flood of data is made available for everyday usage. Managing, locating and displaying such a large volume of satellite images can be challenging. Join this presentation to learn how GeoServer can help with with that job, with real world examples, including: - Indexing and locating images using The OpenSearch for EO and STAC protocols. - Managing large volumes of satellite images, in an efficient and cost effective way, using Cloud Optimized GeoTIFFs. - Visualize mosaics of images, creating composite with the right set of views (filtering), in the desired stacking order (color on top, most recent on top, less cloudy on top, your choice). - Perform both small and large extractions of imagery using the WCS and WPS protocols. - Generate and view time based animations of the above mosaics, in a period of interest. - Perform band algebra operations using Jiffle. Attend this talk to get a good update on the latest GeoServer capabilities in the Earth Observation field. Andrea Aime https://talks.osgeo.org/foss4g-2022/talk/CK89KG/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/21e1b551-cde2-4fa2-ae9a-7ade77b52714https://video.osgeo.org/w/7BXS5TCfRJjCUZU5BiavdAhttps://video.osgeo.org/lazy-static/thumbnails/1e8b820b-3324-455b-a34c-073b238d1485.jpgFOSS4G 2022 | Human-in-the-loop Machine Learning with Realtime Model Predictions using GroundWork…Human-in-the-loop Machine Learning with Realtime Model Predictions using GroundWork and Raster Vision Acquiring and labeling geospatial data for training machine learning models is a time-consuming and expensive process. It is made even more difficult by the lack of specialized open-source tools for dealing with the idiosyncrasies of geospatial data. At Azavea, we have encountered both of these problems before. In this talk, we will present a solution that incorporates our geospatial annotation platform, GroundWork (https://groundwork.azavea.com), with our open-source deep learning framework, Raster Vision (https://rastervision.io), to provide a human-in-the-loop active learning workflow. This workflow allows labelers to immediately see the effect of their created labels on the model’s performance, thus speeding up the labeling-training-labeling cycle and making the connection between the AI and human GIS data labelers easy and seamless. This talk will extend the hands-on experience introduced in last year’s “Human-in-the-loop Machine Learning with GroundWork and STAC'' FOSS4G workshop. We will present an enhanced active-learning workflow that allows labelers to train a model and see predictions on-the-fly as they create labels in GroundWork. The model-training and predictions will be handled by Raster Vision. This workflow will give the labelers a clear view of the model’s current strength and weaknesses at all times, and thus allow them to direct their labeling efforts more efficiently. Newly created labels will propagate back to the AI model in real time, and an asynchronous job will continue to refine the model and predictions. This loop is backed by the open-source Raster Foundry (https://rasterfoundry.azavea.com) and Franklin (https://azavea.github.io/franklin) APIs, and is compliant with the STAC (https://stacspec.org) and OGC Features (https://www.ogc.org/standards/ogcapi-features) open standards. Aaron Su Adeel Hassan Simon Kassel https://talks.osgeo...https://video.osgeo.org/videos/embed/359c4a80-dfbc-415e-b1e5-2f60fc569a46https://video.osgeo.org/w/q91FKNispBHRzgtVSd1F2shttps://video.osgeo.org/lazy-static/thumbnails/01f4d820-007a-4bf7-b590-025a888b4f0a.jpgFOSS4G 2022 | State of Oskari (for end-users)Oskari (www.oskari.org) is used around the world to provide map applications with integrations to spatial and statistical data and service APIs. Oskari can be utilized as a Web GIS with a regular browser or via embedded maps controllable with a simple API. The embedded maps are created in a easy-to-use WYSIWYG-tool enabling users to add a map component to their websites/services without any programming skills. The additional API can be used to integrate to existing APIs and services for richer functionality. This presentation will cover the basics of Oskari and new features introduced during 2021-2022. The focus will be on functionalities for end-users and administrators, such as: new styling tools, map layer analytics and diagnostics tool, metadata supported automation to statistical data visualisation, enhanced support for theming and mobile use. There will be a separate presentation about technical developments in Oskari focusing on developer experience. You can try the features of vanilla Oskari in our demo environment (demo.oskari.org), it has the newest stable version without any customisation. Timo Aarnio https://talks.osgeo.org/foss4g-2022/talk/M7J7YN/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/c379b34e-4694-4eaa-9c46-441b7c030290https://video.osgeo.org/w/vZMpBQe3V3u5sAHwYwGGzNhttps://video.osgeo.org/lazy-static/thumbnails/4d807928-5a3d-432e-8caf-575205afd892.jpgFOSS4G 2022 | GeoNetwork and a11y: Introducing accessibility in OSGeo applicationsWhen websites and web tools are properly designed and coded, people with disabilities can use them. However, currently many sites and tools are developed with accessibility barriers that make them difficult or impossible for some people to use [W3C - Introduction to Web Accessibility]. The European accessibility requirements present a new and welcome challenge for OSGeo applications. Accessibility (a11y) goes far beyond ease-of-use, with strict guidance on making web applications easily accessible to screen readers and assistive technologies. This talk provides an overview of implementing the accessibility guidelines WCAG 2.1, WAI-ARIA, and EN 301 549 (Harmonised European Standard). GeoNetwork is used as a case study here, with “hands-on” illustrations of successful guideline implementations and their technical and organisational challenges. Making OSGeo Software accessible is a rewarding task that requires broad community engagement and support. Attend this talk to learn more about meeting the a11y requirements and the impact they will have on your organisation and your software solution. Michel Gabriël https://talks.osgeo.org/foss4g-2022/talk/GMQWPY/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/f2ea6632-d0e9-4b6f-adaa-b4bd3a88ee68https://video.osgeo.org/w/rTd63aMjeLJua4nVYhcXWkhttps://video.osgeo.org/lazy-static/thumbnails/6ac2e4aa-fcdd-4517-8232-7c37aa09ed0f.jpgFOSS4G 2022 | Connecting tribes: how we connected the GRASS GIS database natively to GeoServerAll of us involved in the creation and publication of large amounts of geodata are familiar with the complexities of data management. In the case of geodata created with GRASS GIS, we asked ourselves how they could be made accessible to GeoServer without duplication. To overcome the previous limitation of GRASS GIS having its own data format, we connected the tribes and let Java and C/Python communicate with each other. So the challenge was to be able to efficiently read the GRASS GIS database directly with GeoServer. And why is that? Because this directly links the analytical capabilities of GRASS GIS with the exceptional geo service & publishing capabilities of GeoServer. Our approach is to use the existing GDAL-GRASS bridge, and add this bridge as a new extension to GeoServer. To this we add two new GRASS GIS addons (r.geoserver.style + r.geoserver.publish) to easily publish the data from a GRASS GIS session as an OGC service. The new GeoServer GRASS raster datastore allows to use GRASS raster data directly in a GeoServer instance. In this way it is now very easy to publish GRASS data as a web service via GeoServer without having to export the data from GRASS GIS to GeoTIFF or COG files. This works for both classic raster data and also for timeseries which can e.g. be inspected as a WMS Time. Markus Neteler Carmen Tawalika Marc Jansen Markus Metz Anika Weinmann https://talks.osgeo.org/foss4g-2022/talk/EFDUYY/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/d19ad8f9-790f-45f2-b0b2-700965a69f83https://video.osgeo.org/w/bZoZBUuh9g1bLiV6wmEMVshttps://video.osgeo.org/lazy-static/thumbnails/ef5c2e88-1014-4e41-98b0-064354052990.jpgFOSS4G 2022 | State of GeoWebCacheGeoWebCache is a popular open source tile cache server written in Java. GeoWebCache that can be used stand alone, working off a remote WMS or local tile layers, such as MBTiles. However, it's also integrated inside GeoServer, allowing simple and quick configuration, as well as transparent caching of WMS requests that happen to match a cached tile. This presentation will provide information on the latest development for the project, including: - Performance and scalability improvements - OGC TileMatrixSet built-in definitions - Storage of tiles in more blob stores (Swift) - MBTiles support - Integration of tile caching in OGC API - Tiles (with GeoServer integration) - Serving vector tiles and integration with the Mapbox ecosystem (e.g., style editing with Maputnik) - Continued codebase QA efforts (code clean up, dependency upgrades and the like) Attend this talk for a cheerful update on what is happening with this project, whether you are an expert user, a developer, or simply curious what it can do for you. Andrea Aime https://talks.osgeo.org/foss4g-2022/talk/8CCEVH/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/58fef3a2-5596-4f31-829b-f3037e2c5820https://video.osgeo.org/w/mwXQWF5CcmdN5yEFot8yLthttps://video.osgeo.org/lazy-static/thumbnails/7fb84d3d-9042-40e4-8924-6b80215ddf8c.jpgFOSS4G 2022 | Map Kibera Mapping Counties on OpenStreetMapThe talk will focus on how Map Kibera has empowered different Counties in Kenya to Map their projects using Open Street Map, Kobo collect and ODK. During the exercise Map Kibera collaborated with World Bank to produce large maps that are used during the participatory budgeting meetings for members of the community to decide the projects they want implemented. Map Kibera's approach is to empower the youth and some selected County officials with new mapping skills and methodologies. Members of the community are then able to make informed decisions by seeing what they already have and what might be missing. Map Kibera also helped the Four selected counties to develop a website that shows the status and the budget allocation for each and every project mapped. This helps promote transparency and accountability within the counties. Before the mapping happened, people would be asked to propose what project they wanted but it became hard without knowing what was already in existence. Now they can tell, We have a hospital we want a school for example. Joshua Ogure https://talks.osgeo.org/foss4g-2022/talk/GENPXP/ #foss4g2022 #generaltrack #OpenDatahttps://video.osgeo.org/videos/embed/a6498054-6d0e-4e44-9b0b-0f390a4104dbhttps://video.osgeo.org/w/rjTh4q1EmJfTQzqo6WTVEMhttps://video.osgeo.org/lazy-static/thumbnails/6d840944-aacf-4c0f-86d8-0bc4bd8f5402.jpgFOSS4G 2022 | Data Management in Earth Observation - The Potential of Open Digital Twins of the…Data Management in Earth Observation - The Potential of Open Digital Twins of the Earth Several ambitious initiatives, such as Destination Earth of the European Union, are harnessing large amounts of Earth Observation and other data to develop so-called digital twins of the Earth. The combination of large and diverse data assets, cloud- & HPC-computing as well as sophisticates models and AI algorithms now permit to generate predictive EO scenarios. One key aspect of Digital Twins is the possibility to employ openness as one of the key principles for all its functions. Data policy, data access, software development, processing and information management are important considerations for engaging and integrating users of all kinds. Due to their high potential for science and society the European Space Agency, with its unique geospatial data holdings, is fully engaged in the development of Digital Twins of the Earth. Nicolaus Hanowski https://talks.osgeo.org/foss4g-2022/talk/LTW3VV/ #foss4g2022 #generaltrack #AI4EOChallengesAndOpportunitieshttps://video.osgeo.org/videos/embed/cd177471-9198-4125-8fa2-bd00407e8735https://video.osgeo.org/w/oKjQBKBWyH6SjZ3456KPkohttps://video.osgeo.org/lazy-static/thumbnails/64fa1c07-a8f7-4d33-b404-a014be062489.jpgFOSS4G 2022 | HIECTOR: Hierarchical object detector for cost-efficient detection at scaleObject detection, classification and semantic segmentation are ubiquitous and fundamental tasks in extracting, interpreting and understanding the information acquired by satellite imagery. Applications for locating and classifying man-made objects, such as buildings, roads, aeroplanes, and cars typically require Very High Resolution (VHR) imagery, with spatial resolution ranging approximately from 0.3 m to 5 m. However, such VHR imagery is generally proprietary and commercially available at a high cost. This prevents its uptake from the wider community, in particular when analysis at large scale is desired. HIECTOR (HIErarchical deteCTOR) tackles the problem of efficiently scaling object detection in satellite imagery to large areas by leveraging the sparsity of such objects over the considered area-of-interest (AOI). This talk presents a hierarchical method for detection of man-made objects, using multiple satellite image sources with different Ground Sample Distance (GSD). The detection is carried out in a hierarchical fashion, starting at the lowest resolution and proceeding to the highest. Detections at each stage of the pyramid are used to request imagery and apply the detection at the next higher resolution, therefore reducing the amount of data required and processed. We evaluate HIECTOR for the task of building detection for a middle-eastern country, estimating oriented bounding boxes around each object of interest. For the detection of buildings, HIECTOR is demonstrated using the following data sources: Sentinel-2 imagery with 10 m GSD, Airbus SPOT imagery pan-sharpened to 1.5 m pixel size and Airbus Pleiades imagery pan-sharpened to 0.5 m pixel size. Sentinel-2 imagery is openly available, making their use very cost efficient. The Single-Stage Rotation-Decoupled Detector (SSRDD) algorithm is used. Given that single buildings are not discernible at 10 m GSD, a bounding box does not describe a single building but rather a cluster of buildings. The estima...https://video.osgeo.org/videos/embed/b835a460-1e62-4c6a-a49e-219bf77e3f48https://video.osgeo.org/w/thgXmEvV7djsyLdrUCdfqHhttps://video.osgeo.org/lazy-static/thumbnails/91a3e179-936f-4c03-9056-c93741b46c73.jpgFOSS4G 2022 | GeoHealthCheck - QoS Monitor for Geospatial Web ServicesKeeping (OGC) Geospatial Web Services up-and-running is best accommodated by continuous monitoring: not only downtime needs to be guarded, but also whether the services are functioning correctly and do not suffer from performance and/or other Quality of Service (QoS) issues. GeoHealthCheck (GHC) is an Open Source Python application for monitoring uptime and availability of OGC Web Services. In this talk we will explain GHC basics, how it works, how you can use and even extend GHC (plugins). There is an abundance of standard (HTTP) monitoring tools that may guard for general status and uptime of web services. But OGC web services often have their own error, "Exception", reporting not caught by generic HTTP uptime checkers. For example, an OGC Web Mapping Service (WMS) may provide an Exception as a valid XML response or in a error message written "in-image", or an error may render a blank image. A generic uptime checker may assume the service is functioning as from those requests and an HTTP status "200" is returned. Other OGC services may have specific QoS issues that are not directly obvious. A successful and valid "OWS GetCapabilities" response may not guarantee that individual services are functioning correctly. For example an OGC Web Feature Service (WFS) based on a dynamic database may return zero Features on a GetFeature response caused by issues in an underlying database. Even standard HTTP checkers supporting "keywords" may not detect all failure cases in OGC web services. Many OGC services will have multiple "layers" or feature types, how to check them all? What is needed is a form of semantic checking and reporting specific to OGC services! GeoHealthCheck (GHC) is an Open Source (MIT) web-based framework through which OGC-based web services can be monitored. GHC is written in Python (with Flask) under the umbrella of the GeoPython GitHub Organization. It is currently an OSGeo Community Project. GHC consists of two parts: (1) a web-UI app (using Flas...https://video.osgeo.org/videos/embed/dcec79f5-513d-4cb8-ac52-12c4b0201071https://video.osgeo.org/w/mLRpmaRnsWzGTbjkaW3aYohttps://video.osgeo.org/lazy-static/thumbnails/d25f2256-2d2d-4375-91ca-5e975d075e46.jpgFOSS4G 2022 | Cloud-Native Geospatial with JavaScriptThe amount of Earth Observation data we have available nowadays is exceeding the capabilities for data processing. Therefore, a lot of data is now made available in the cloud. To make digesting the data easier and more-lightweight, it is getting more and more popular to store the data in so-called “cloud-native” file formats while data processing is also moving towards the data, i.e., into the cloud. This way you only need to retrieve the actual subset of the data you are actually interested in instead of the full data set, which can be in the magnitude of gigabytes or even larger. This technology of cloud-native file formats is usually best used with Browsers, which is the users’ main interface to the internet and the cloud. There the main language is JavaScript. Therefore, this talk will give a high-level introduction about the relevant cloud-native file formats and show whether and how you can make use of these files in client-side JavaScript: - COG: Cloud-Optimized GeoTiff ( https://www.cogeo.org ) - COPC: Cloud-Optimized Point Clouds ( https://copc.io ) - Flatgeobuff ( https://flatgeobuf.org ) - GeoParquet ( https://github.com/opengeospatial/geoparquet ) - STAC: SpatioTemporal Asset Catalog ( https://stacspec.org ) - Zarr ( https://zarr.readthedocs.io ) This talk will dig into the available open-source libraries and, if JavaScript implementations are available, show their functionality based on examples. If multiple options are available, a high-level comparison will show the main differences in functionality. For COGs for example, we’ll compare the capabilities of the popular mapping libraries Leaflet, OpenLayers and MapLibre GL. Daniel J. Dufour Matthias Mohr https://talks.osgeo.org/foss4g-2022/talk/MNLFUG/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/a839f1c9-88f1-4368-ae13-8ad77e876f1ahttps://video.osgeo.org/w/7A5btoCY1MkdTu18SNvu5ghttps://video.osgeo.org/lazy-static/thumbnails/471174b5-3293-47fc-896d-e18af5380c21.jpgFOSS4G 2022 | Open Source Point Cloud Semantic Segmentation Using AI/MLAssigning semantic labels to points within a point cloud aids in both visual interpretation of the data and as a preprocessing step to other forms of analysis like building footprint extraction, hydrological modeling, and biomass estimation. Our talk will focus primarily on earth observation data and airborne lidar data sources in particular, where labels are commonly aligned with those classes specified in the ASPRS LAS specification (e.g., ground, vegetation, and building), but we are also beginning to explore the extension of these same methods to data generated by commodity, consumer-grade devices like iPhones. For many years, hand-tuned models have been developed for this segmentation task, building on reasonable assumptions about the data. For example, ground points should include those lowest elevation returns within a local window or building segments should typically be planar. Within the past decade, we have seen a surge in AI/ML powered models that are able in many cases of outperforming the prior methods, being able to learn novel features and adapt to the intrinsic variability of data. We will provide an overview of the open source ecosystem powering this trend, from benchmark datasets like US3D and DALES to machine learning frameworks (i.e., PyTorch and Tensorflow) and key libraries such as PDAL, Open3D, and PyG. Brad Chambers https://talks.osgeo.org/foss4g-2022/talk/NWCQRX/ #foss4g2022 #generaltrack #AI4EOChallengesAndOpportunitieshttps://video.osgeo.org/videos/embed/3558b24d-c3a5-4b73-8780-1d318da1c74fhttps://video.osgeo.org/w/7W4HdwPQuzHDwsiVM1gq72https://video.osgeo.org/lazy-static/thumbnails/ce2d75fb-9ee2-4450-9122-4ad2f50ccbff.jpgFOSS4G 2022The FOSS4G 2022 welcome video. Thanks to Filippo Lazzarini (https://filippolazzarini.it/) for the assembly of the welcome videohttps://video.osgeo.org/videos/embed/38234844-46a8-427f-8e13-10c7c9c061f5https://video.osgeo.org/w/6pBYfL4szrqA5XV35ZLyWZhttps://video.osgeo.org/lazy-static/thumbnails/00b59aa1-a8de-456f-981a-bac56099b574.jpgFOSS4G 2022 | MapLibre GL 2.x - JavaScript maps with React, Vue.js, Svelte or AngularWhat's new in MapLibre version 2? We'll explore all the latest features of the library, including its new 3D capabilities. We'll also show you get started with MapLibre in whichever frameworks you choose to work in. This talk will be useful for beginners through to experienced web mappers interested in MapLibre. Along with the 3D capabilities, there are new styling functions and also the move from JavaScript to Typescript to discuss. We'll show you some snippets of these new features and demonstrate the power of MapLibre. For those getting started with web mapping or learning new frameworks, we will show you how to use MapLibre in your own application. We will introduce practical code examples in React, Vue.js, Angular or Svelte, creating a simple map component. By the end of this talk, you should have all you need to get started building apps with MapLibre and the main JavaScript frameworks. Wladimir Szczerban Petr Pridal Martin Zdila https://talks.osgeo.org/foss4g-2022/talk/NBSPX9/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/2bc9f79d-c938-4f56-ba24-28332825dee5https://video.osgeo.org/w/vMnMyBmEu8o2cYS5iQyKyFhttps://video.osgeo.org/lazy-static/thumbnails/96eb27b6-cc6c-429a-a07c-939acefb70c7.jpgFOSS4G 2022 | Cleaning and processing global resource data for game developmentThis talk will describe some of the tools and tricks used by the team at Sparkgeo to gather, clean, and represent global resource data (minerals, wood, and water) for use in video game development. One of the resources collected by the team used the STAC package for the Joint Research Centre - Global Surface Water data product to deliver water occurrence as part of the end product. This talk will describe how to use a STAC package like JRC to access and transform cloud datasets before moving on to additional datasets such as limestone, gold, and forest cover. These other datasets required a different geospatial approach to ensure that the resources were appropriately represented in the video game. Nevertheless, each dataset required gathering from the internet and performing an Extract-Transform-Load (ETL) task. The use of open-source geoprocessing tools, data science methods, and data delivery formats helped ensure real-world data is used in video games. Community standards James Banting https://talks.osgeo.org/foss4g-2022/talk/JVD7YW/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/f12eeaa7-4f58-4514-bd5e-08c1f2ed6413https://video.osgeo.org/w/ibCNHFHNziAaHtR7xz9PoXhttps://video.osgeo.org/lazy-static/thumbnails/1824559e-3308-4518-a3e9-1862e0c8b57e.jpgFOSS4G 2022 | State of GeoNodeGeoNode is a Web Spatial Content Management System based entirely on Open Source tools whose purpose is to promote the sharing of data and their management in a simple environment where even non-expert users of GIS technologies can view, edit, manage, and share spatial data, maps, prints and documents attached. This presentation provides a summary of new features added to GeoNode in the year up to the latest releases of GeoNode together with a glimpse of what we have planned for next year and beyond, straight from the core developers. The purpose of this presentation is to introduce the attendees to those which are the GeoNode current capabilities and to some practical use cases of particular interest in order to also highlight the possibility of customization and integration. Finally, we will provide a summary of new features added to GeoNode in the last release up to the latest releases of GeoNode together with a glimpse of what we have planned for next year and beyond, straight from the core developers. Alessio Fabiani Giovanni Allegri https://talks.osgeo.org/foss4g-2022/talk/KCPKTX/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/8b277a24-0267-4657-a6fd-ca2055bcde7fhttps://video.osgeo.org/w/xiHhSaDVnQJCBtkidUZWuEhttps://video.osgeo.org/lazy-static/thumbnails/41884984-7cc4-42eb-b062-89d9fbf01372.jpgFOSS4G 2022 | OpenLog - Open Source drillhole data visualization in QGISMining industry professionals are in a constant need of simple and efficient software solutions for drillhole visualization, management, and edition. Although several Open Source solutions are offered to partially fulfill the need, none has propagated into common professional use. In partnership with a team of mining industry leaders including Orano, Evolution Mining, Sandfire Resources, Kenex, the University of Western Australia, NordGold, GoldSpot and the CEA, Oslandia has formed a consortium in 2021 to answer the demand. Oslandia has since then been developing a high performance drillhole data visualization QGIS plugin that combines 3D, cross-section, map, and log views into a fully synchronous system. Moreover, users are able to connect OpenLog directly to their existing drillhole databases such as Acquire, Datashed or Geotic. This talk will succinctly present the functionalities of OpenLog as well as its primary use cases, contribution to QGIS 3D data visualization technology, development roadmap, and future prospects. Evren Payuz-Charrier Jean Felder https://talks.osgeo.org/foss4g-2022/talk/MMNCZQ/ #foss4g2022 #generaltrack #Stateofsoftwarehttps://video.osgeo.org/videos/embed/fd84638e-8aa4-40a6-8440-136fffd8847ehttps://video.osgeo.org/w/2JYhPiSsyA9LBkPwM5ffFNhttps://video.osgeo.org/lazy-static/thumbnails/c2533920-b54e-42eb-822e-d828f2373df8.jpgFOSS4G 2022 | Introduction to STAC API plugin in QGISSTAC or SpatialTemporal Asset Catalog is now a popular option for providers wishing to create accessible catalogs of spatiotemporal asset data for end users. STAC aims to create a standardized and performant way for providers to expose their spatiotemporal asset data, and for users to ingest that data. A 'spatiotemporal asset' is any file that represents information about the earth captured in a certain space and time. Since the development of STAC started in 2007, the STAC ecosystem was not able to use the STAC data in desktop softwares. Recently through collaboration between Kartoza and Microsoft, a QGIS (a desktop GIS application) plugin called “STAC API Browser” was developed to bridge the gap between QGIS users and STAC data. Now using “STAC API Browser” users can access, download, analyze and use a vast amount of imagery data offered by various STAC specification providers, such as Microsoft Planetary Computer. The aim of this talk is to introduce the “STAC API Browser” plugin, give a guide on how to use the plugin inside QGIS, showcase cool things that the plugin supports and how users/developers can collaborate on the plugin project. On top of all, we will also look at how to use the QGIS temporal controller feature with the added STAC data from the plugin. Samweli Mwakisambwe https://talks.osgeo.org/foss4g-2022/talk/LQLAPC/ #foss4g2022 #generaltrack #UsecasesAndapplicationshttps://video.osgeo.org/videos/embed/0e191120-4927-43bd-b05e-67e3d1b80a8chttps://video.osgeo.org/w/1YGiDEgqK29RAo9TmtCjc1https://video.osgeo.org/lazy-static/thumbnails/3eaff7a8-9ddf-415e-8b50-de22916888b9.jpgQDuckDB : The DuckDB plugin for QGISQDuckDB : The DuckDB plugin for QGIShttps://video.osgeo.org/videos/embed/07ea7d51-9a07-4fe3-b462-ac6c03bf9e96https://video.osgeo.org/w/ixCMiPmRGLU9P6kvSXum3Xhttps://video.osgeo.org/lazy-static/thumbnails/bd23ac02-a6b5-4935-8981-45cb93ffc67b.jpgCityForge: the 3D building reconstruction plugin for QGISThis video showcases our plugin for 3D reconstruction, allowing to reconstruct 3D geometries of buildings from PointCloud data. It leverages various opensource software components. This video presents work achieved thanks to support from the French government as part of France 2030 and from the European Union - Next Generation EU as part of the France Relance plan.https://video.osgeo.org/videos/embed/8e1614cf-0731-4d67-a7d7-2c026f26d34bhttps://video.osgeo.org/w/n664ef6hUVs2XGfYpSbG12https://video.osgeo.org/lazy-static/thumbnails/5c10c491-8f85-44d0-9ea7-e1dda96bd974.jpgFOSS4GNA 2023 | Open Science in NPS Monitoring White Sands with Pangeo+Landsat - Mark IsleySummary: - Mark Isley, a data manager and physical scientist, discusses the use of open science and open data in monitoring environmental conditions at White Sands National Park. - The park is known for its unique geological features, including the largest gypsum dunefield in the world. - Open data from Landsat and open tools from the Pangeo project have been instrumental in their monitoring efforts. - Dust storms and erosion pose challenges to the park, impacting visitor experience and exposing fossil trackways. - Remote sensing imagery, specifically using the near infrared and shortwave infrared bands, is used to assess the stability and integrity of the dunefield. - Data analysis techniques, such as masking, edge detection, and watershed segmentation, are employed to separate the dunefield from the surrounding desert and analyze variations in soil moisture over time. Highlights: - 🏜️ Open science and open data are key in monitoring environmental conditions at White Sands National Park. - 🌪️ Dust storms and erosion pose challenges to the park's ecosystem and visitor experience. - 📸 Remote sensing imagery and data analysis techniques help assess the stability and integrity of the dunefield. #FOSS4GNA #openscience #open data #environmental monitoring #White Sands National Park #Pangeo project #Landsat #dust storms #erosion #remote sensing #soil moisture analysishttps://video.osgeo.org/videos/embed/aac5bf12-32f7-4783-ac0f-7eaa157984b1https://video.osgeo.org/w/wjMZDNiE3sv7gPxZ4ztcTWhttps://video.osgeo.org/lazy-static/thumbnails/fc44f3f5-8039-41ad-8c83-d5621b8698d6.jpgFOSS4GNA 2023 | Geo Unleashed: How Apache Sedona is Revolutionizing Geospatial Data AnalysisSummary: - The speaker introduces themselves as a co-founder and Chief Architect of We Robots. - They discuss the challenges of analyzing geospatial data due to its large scale. - They introduce Apache Sedona as an open-source computing engine for processing geospatial data. - Sedona provides distributed query algorithms and APIs for different programming languages. - The speaker demonstrates examples of spatial SQL queries that can be performed in Sedona. - They explain the importance of correctly calculating distances between geographic locations. - Sedona also supports raster data processing, such as analyzing temperature observations. Highlights: - Apache Sedona is revolutionizing geospatial data analysis with its scalable and efficient processing capabilities. 🌍 #GeospatialData 📊 #BigData 💻 #OpenSource 🌐 #ApacheSedona 🗺️ #SpatialSQL 📐 #Distances 🌡️ #RasterData 🌍 #ClimateChangehttps://video.osgeo.org/videos/embed/f591e478-a7b1-4ed5-a50c-a55c35530d38https://video.osgeo.org/w/jLPhybPTmek4P7VBr6vZf4https://video.osgeo.org/lazy-static/thumbnails/f6da0c1a-6c04-42f8-8460-f6d3fae3913a.jpgFOSS4GNA 2023 | Serving OGC API Features/Tiles from Postgres with TiPG - David BitnerDavid Bitner discusses TiPG, an OGC API features service that serves OGC features and tiles directly from Postgres and PostGIS databases. TiPG leverages the power of PostGIS, FastAPI, and other standard libraries, making it easy to display spatial data without extensive configuration. The project supports various OGC features, enables full filtering using CQL, and utilizes the FastAPI framework for efficient service development. Additionally, Bitner introduces EAPI, an opinionated bundle of tools, including TiPG, for seamless integration. The ease of use, templating capabilities, and support for set-returning functions make TiPG a versatile solution for spatial data services. Highlights 🌐 TiPG is an OGC API features service for serving OGC features and tiles directly from Postgres and PostGIS databases. 🛠️ Built in Python, TiPG leverages the FastAPI framework, making service development efficient and customizable. 🔄 EAPI is introduced as an opinionated bundle, combining TiPG with other tools for comprehensive spatial data services. 📊 TiPG supports various OGC features, offers full filtering using CQL, and relies on PostGIS for powerful spatial capabilities. 🚀 FastAPI eliminates the need for building authentication, security, and API documentation tools, enhancing development speed. 🌐 TiPG enables easy deployment with a simple "pip install" or Docker usage, providing instant spatial data services from a Postgres database. 🎨 Templating capabilities allow customization of the user interface around features API, providing a flexible display for spatial data. Video Tags #FOSS4GNA #SpatialData #OGCAPI #PostGIS #FastAPI #OpenSource #Geospatial #SpatialServices #TiPG #DataVisualization #GISAnalysis #SpatialQueries #EAPI #SpatialDataIntegrationhttps://video.osgeo.org/videos/embed/98065cc8-f66f-4155-a0c9-1d317dff0bebhttps://video.osgeo.org/w/1XAiELq8NFTARcMCS3tyQdhttps://video.osgeo.org/lazy-static/thumbnails/034e72a8-43f6-4f55-adaa-04dfe8ba74ab.jpgFOSS4GNA 2023 | Easy Map Apps with React and planet maps - Dan "Ducky" LittleSummary Easy Map Apps with React and Planet Maps is a presentation by Dan "Ducky" Little, introducing a React-based mapping library called Planet Maps. It aims to simplify the development of map applications using React and OpenLayers, providing a declarative approach to mapping, which is easier for React developers to understand. The motivation behind using OpenLayers is the familiarity and expertise of the presenters with the library, as well as its strengths in in-browser raster processing. The talk addresses common challenges faced when integrating OpenLayers with React, emphasizing the need for a more declarative and user-friendly approach. Highlights 🗺️ Introduction to Planet Maps, a React-based mapping library using OpenLayers. 🌐 Declarative approach to mapping, making it more accessible for React developers. 🚀 Motivation for choosing OpenLayers, including familiarity and in-browser raster processing capabilities. 🤔 Challenges with existing approaches, such as the use of refs in React and the complexity of integrating mapping libraries. Video Tags #FOSS4GNA #React #OpenLayers #MappingLibrary #DeclarativeProgramming #GIS #WebDevelopment #JavaScript #PlanetMaps #EasyMapping #CodeDevelopment #TechnicalTalk #Geospatial #OpenSourcehttps://video.osgeo.org/videos/embed/07c30c5f-332d-433f-a7d0-5bd9f6aa3384https://video.osgeo.org/w/oyQxhUk6HSbDiASmMH64xfhttps://video.osgeo.org/lazy-static/thumbnails/270bec15-38c2-47af-8f3f-181163092f0a.jpgFOSS4GNA 2023 | The future of Vector Tiles elevation 3D arrays, ADAS - Yuri AstrakhanSummary Yuri Astrakhan, co-founder of Map Libre, discusses the project's evolution from a fork of Mapbox to a community-driven initiative covering data generation, packaging, visualization, and more. The Map Libre ecosystem includes projects like Map Libre GJS, Map Libre RS, and Martin, a tile server supporting various formats. Yuri emphasizes the importance of community involvement, stability, and the challenges of maintaining both native C++ and JavaScript/TypeScript codebases. The talk explores Map Libre's achievements, goals, and advanced features like 3D terrain, contour maps, and future plans for Map Vector Tiles (MVT) with enhanced capabilities. Highlights 🗺️ Yuri Astrakhan presents Map Libre, a community-driven project evolving from a Mapbox fork. 🌐 Map Libre spans data bits to pixels, emphasizing community involvement, stability, and diverse projects. 🚀 Achievements include Map Libre GJS, Map Libre RS, Martin tile server, and successful community growth. 🌐 Challenges involve maintaining native C++ and JavaScript/TypeScript codebases for stability. 🌍 Map Libre explores advanced features like 3D terrain, contour maps, and Map Vector Tiles (MVT). 🔍 MVT enhancements include multiple M values, abandoning web mercator, and connecting with routing engines. 📈 Future goals encompass continuous development, unifying the stack, and supporting diverse font visualizations. Video Tags #FOSS4GNA #MapLibre #VectorTiles #CommunityDriven #OpenSource #MapVisualization #WebGL #3DTerrain #ContourMaps #MapVectorTiles #MapLibreRS #OpenGovernance #CommunitySupport #GIS #GeospatialDatahttps://video.osgeo.org/videos/embed/b6bec3c2-fb09-4c0a-9752-2320ac09bff8https://video.osgeo.org/w/wq3j4ay4WJZEyb2yWmnMs1https://video.osgeo.org/lazy-static/thumbnails/246e71d3-8617-433d-8c60-feb651e881d6.jpgFOSS4GNA 2023 | MapLibre Native Upgrade: A modular rendering architecture for the futureSummary: MapLibre Native underwent a significant upgrade to address technical debt and compatibility issues, specifically related to the transition from OpenGL ES to Apple's Metal rendering SDK. The upgrade was driven by a collaborative effort involving multiple contributors, including Stamen, AWS, and the MapLibre community. The project aimed to modularize the renderer, with a focus on achieving multi-SDK support, particularly for Metal. The primary goals included transitioning to direct metal rendering, moving certain operations to the GPU, addressing threading issues, and enhancing shader and layer management. Highlights: MapLibre Native underwent a major upgrade to address technical debt and compatibility issues, transitioning from OpenGL ES to Apple's Metal rendering SDK. Collaborative effort involving Stamen, AWS, and the MapLibre community, with the project aiming to achieve multi-SDK support, particularly for Metal. [⚙️] Modularization of the renderer was a key focus to enable support for multiple rendering SDKs simultaneously. [🔄] Primary goal was the transition to direct metal rendering, ensuring compatibility with modern GPUs and addressing performance issues. [🔧] Secondary goals included moving certain operations to the GPU, addressing threading issues, and enhancing shader and layer management. [🌐] The upgrade project involved a diverse team with contributions from AWS, Stamen, Meta, and MapLibre maintainers. [📆] The project was set to conclude in November, marking the completion of the initial phases of the MapLibre Native upgrade. #FOSS4GNA #MapLibre #RenderingUpgrade #MetalSDK #OpenGLES #TechnicalDebt #Collaboration #GeoSpatialRendering #GPUOptimization #MultiSDKSupport #OpenSourceDevelopmenthttps://video.osgeo.org/videos/embed/f64d6f45-e115-4e5f-815e-a4b9c4ff0c00https://video.osgeo.org/w/6pU2H96r3V8DNaUgwb3eWzhttps://video.osgeo.org/lazy-static/thumbnails/2a4fc1c2-c8d9-4475-a87e-280e92f1bdb1.jpgFOSS4GNA 2023 | An Introduction and Background to the E84 Geospatial Radar Report - Robert CheethamSummary: Robert Cheetham, Chief Strategy Officer at Element 84, discusses the development of a geospatial technology radar inspired by ThoughtWorks' technology radar. Element 84, a women-owned small business, focuses on geospatial data processing tools, software engineering, and open source contributions. The geospatial radar, unlike ThoughtWorks, combines platform and tools, drops languages, and adds data and standards as categories. They introduce a "watch" category instead of "hold" to track emerging technologies affecting the geospatial field. The radar aims to offer opinions based on experience, emphasizing open source, open data, standards, and the public good. Highlights: 🌐 Element 84, a women-owned small business, collaborates on geospatial data processing tools and software engineering. 🛰️ Geospatial technology radar inspired by ThoughtWorks, combining platform and tools, and introducing a "watch" category for emerging technologies. 💡 Radar focuses on machine learning, software engineering, data analytics, cloud architecture, and user experience design. 🔄 The radar emphasizes open source, open data, standards, and the public good, providing opinions based on experience. #Geospatial #OpenSource #TechnologyRadar #DataAnalytics #CloudArchitecture #MachineLearning #Standards #ThoughtWorks #Element84 #OpenData #UserExperienceDesignhttps://video.osgeo.org/videos/embed/2bd3dd43-74bc-40a6-996f-b83f707747a1https://video.osgeo.org/w/c7Hw9g4Ei7ck7rzDDUcCBahttps://video.osgeo.org/lazy-static/thumbnails/e63c2a47-f18b-4d92-98a4-f0b3c01e9dd6.jpgFOSS4GNA 2023 | Utilizing Open Source Technology to Enable Science at ORNL - Jessica MoehlSummary Utilizing open source technology to enable science at Oak Ridge National Laboratory is the focus of Jessica Moehl's presentation. The talk explores the evolution of geospatial science at the laboratory, highlighting advancements, challenges, and the transformative role of open source tools. Highlights 🌐 Oak Ridge National Laboratory (ORNL) engages in diverse scientific areas, with a focus on geospatial science within a team of around 100 researchers. 🛰️ Geospatial science at ORNL involves applications such as situational awareness, critical decision support, and crisis management, utilizing open source tools for data availability and model outputs. 🌍 Over the years, the availability of geospatial data has dramatically increased, influencing the types of questions scientists can ask and the tools they use. 💻 The transition from desktops to laptops, on-premises computing to cloud, and reliance on proprietary software to open source tools has reshaped the way geospatial analysis is conducted at ORNL. 🌐 Open source tools, especially in the realm of geospatial analysis, offer flexibility and the ability to address specific scientific questions effectively. 🏠 The presentation delves into examples such as LandScan population modeling and machine learning workflows, showcasing the role of open source technologies in enhancing analysis capabilities. 🔄 The collaborative approach at ORNL involves sharing code, rethinking assumptions, and making tools more accessible for peers, fostering a culture of innovation in geospatial science. #FOSS4GNA #GeospatialScience #OpenSourceTechnology #ORNL #DataAnalysis #MachineLearning #ScienceInnovation #GIS #CrisisManagement #SpatialAwareness #Geocomputationhttps://video.osgeo.org/videos/embed/5a049346-ffca-4bad-9469-3b167e0482dfhttps://video.osgeo.org/w/xnv8cW4nAbiEFdP3AJTpsnhttps://video.osgeo.org/lazy-static/thumbnails/ac7c01a9-dc4e-4282-b807-f17210ba6a64.jpgFOSS4GNA 2023 | SpaceTimeIDs : A Novel Approach for Tracking Boundary Changes Over TimeA presentation by Josh Campbell Summary The presentation introduces SpaceTime IDs, a novel approach developed by the US Department of State to enhance the accessibility and utility of boundary data. It addresses the need for quick access to relevant boundary information by policy officers and introduces SpaceTime IDs as a solution for tracking boundary changes over time. Highlights 🌐 SpaceTime IDs: A unique identifier system for the hierarchical assembly of line segments into semantically meaningful units, addressing the dynamic nature of boundaries. 🗺️ Enhanced Accessibility: SpaceTime IDs enable quick access to boundary information, crucial for policy officers who may not be boundary experts but require relevant data. 🔄 Change Tracking: The presentation emphasizes the importance of tracking changes in boundary configurations, geographic layouts, and attributes over time using SpaceTime IDs. 🌍 National Geospatial Data Asset: The US Department of State is the lead federal agency for international boundaries, maintaining the large-scale International Boundaries dataset. 🛰️ Geospatial Data Act: The talk highlights the significance of SpaceTime IDs in the context of the Geospatial Data Act, aiming for increased sophistication, scalability, and better dissemination of data. Video Tags #SpaceTimeIDs #BoundaryData #Geospatial #NationalGeospatialDataAsset #USDepartmentOfState #Geography #PolicyOfficers #DataManagement #GeospatialDataAct #SpatialAnalysis #BoundaryChanges #GIShttps://video.osgeo.org/videos/embed/fe0bddb7-4d2a-4904-b887-e9d1986cea0dhttps://video.osgeo.org/w/6LMrWLVqbp35heBV99o9gjhttps://video.osgeo.org/lazy-static/thumbnails/a9053767-36de-452d-8e54-176051ab8b53.jpgFOSS4GNA 2023 | EAGLE ITM Open Source Utility Outage Data Collect and Analysis - Aaron MyersAaron Myers, the group lead at GE Informatics Engineering Group, discusses the EAGLE ITM Open Source Utility Outage Data Collect and Analysis platform in this presentation. EAGLE Eye is the Department of Energy's operational platform for situational awareness of utility outages, covering about 93% of the US and territories. The platform transitioned from commercial off-the-shelf to open source, employing Docker, Java, Spring Boot, and Apache Airflow for scalability. The data collection process involves scraping 450 utility outage maps every 15 minutes, and the platform aims to enhance data collection efficiency using Apache Airflow. Highlights 🌐 EAGLE Eye: DOE's platform for utility outage situational awareness, covering 93% of the US. 🔄 Transition: Shift from commercial off-the-shelf to open source for sustainability and modernization. 🖥️ Technology Stack: Docker, Java, Spring Boot, and Apache Airflow for scalable and efficient operations. 📊 Data Collection: Scraping 450 utility outage maps every 15 minutes for real-time updates. 🌐 Scalability: Introduction of Apache Airflow to orchestrate data collection and enhance scalability. 📈 Milestones: Achievements include a historic archive of outage data and modeling county customers. ⚖️ Energy Justice: Utilizing data trends to evaluate energy justice and identify deviations in utility behaviors. #FOSS4GNA #OpenSource #UtilityOutage #DataAnalysis #Scalability #EnergyJustice #SituationalAwareness #ApacheAirflow #EAGLEEyePlatformhttps://video.osgeo.org/videos/embed/2ebe6d55-63db-4e77-9976-cf71f1321948https://video.osgeo.org/w/mxdzgCiJ6Z1E7XGvLAEAjnhttps://video.osgeo.org/lazy-static/thumbnails/71338a3d-839b-4f58-ac12-9c796a91b1f2.jpgFOSS4GNA 2023 | NPMap5 Next Generation Web Maps for the National Park Service - James McAndrewSummary Exploration of the next generation web maps for the National Park Service (NPS) using Map Libra and transitioning from Mapbox GJS. Emphasis on data standards, community collaboration, and avoiding a centralized API approach. Highlights 🗺️ NPS evolving web maps to Map Libra, transitioning from Mapbox GJS and Leaflet. 🌐 Focus on data standards, community collaboration, and government standards. 🏞️ NPS known for visually stunning maps of parks like Acadia and Denali. 🌍 Unigrid maps recognized but emphasis on data and community standards. 🔄 Shift from centralized API to decentralized, community-based tools. 🧩 Development of Map Libra plugins with TypeScript for accessibility and customization. 🖥️ Use of animated SVGs, scalable icons, and interactivity plugin for enhanced user experience. #tags #WebMaps #NationalParkService #MapLibra #DataStandards #CommunityCollaboration #MappingTechnology #GIS #MapLibraPlugins #NextGenMapshttps://video.osgeo.org/videos/embed/a652942e-5fbf-4875-9a88-f16948538cc1https://video.osgeo.org/w/5L8yNnSheNmY8Ke7twaVLbhttps://video.osgeo.org/lazy-static/thumbnails/814a23ef-1e52-4caa-8ea9-1c65aa484f28.jpgFOSS4GNA 2023 | Feeding Your 911 Data from QGISPostGIS - Randal HaleSummary: Feeding 911 data from QGIS/PostGIS is discussed by Randal Hale in his FOSS4GNA 2023 presentation. He shares insights into transitioning from proprietary to open-source tools, recounting experiences with a 911 proof-of-concept project in the Caribbean. The talk covers setting up PostGIS servers, overcoming challenges, and expanding GIS capabilities over time. Noteworthy aspects include leveraging GitHub for collaborative development, improving SQL scripts for efficiency, and adopting GeoPackage for streamlined data management. Highlights: 🗺️ Randal Hale recounts experiences with a 911 addressing system project using QGIS/PostGIS in the Caribbean. 🔄 Transition from proprietary to open-source tools, emphasizing cost-effectiveness and increased flexibility. 🚀 Setting up PostGIS servers, overcoming challenges, and building a solid foundation for GIS data. 🤝 Collaboration with Chad to move away from manual data passing, adopting PostGIS for efficient data management. 🛠️ Continuous improvement: Randal discusses script enhancements, GitHub collaboration, and transitioning to GeoPackage. Video Tags: #FOSS4GNA2023 #QGIS #PostGIS #OpenSourceGIS #GitHub #GeoPackage #GISDevelopment #SpatialData #911Addressing #SQLScripts #DataManagement #GISWorkflow #CollaborativeDevelopment #ProprietaryToOpenSource #GISProjectManagementhttps://video.osgeo.org/videos/embed/268df163-f3b7-47f5-bf73-c1db1ce56c9ehttps://video.osgeo.org/w/uuMzatPE3SseznxGpxjER6https://video.osgeo.org/lazy-static/thumbnails/86a2526a-4f8d-4eb0-83b8-c2ba4a53264e.jpgFOSS4GNA 2023 | Open Sourcing Farm Assessments - Joshua CarlsonSummary Josh Carlson discusses the transformation of farm assessments in Kendall County, Illinois, highlighting the transition from a cumbersome proprietary tool to an open-source, efficient, and accurate solution. The new approach ensures precision in calculating agricultural parcel values, overcoming issues like rounding errors and software dependencies. Highlights 🚜 Josh Carlson shares the journey of revolutionizing farm assessments in Kendall County, Illinois. 🔄 Transition from a costly proprietary tool with limitations to an open-source, accurate, and accessible solution. 💻 Utilization of Python, specifically geopandas, to streamline the assessment process and eliminate software dependencies. 🗺️ Carlson emphasizes the importance of accuracy in calculating property values for agricultural parcels. 🌱 Introduction of a validation step to ensure the precision of the newly developed assessment tool. 🛠️ The development process involves understanding the intricacies of farm cards, spatial operations, and the state-defined individual soil waiting method. 🌐 Open-sourcing the code for accessibility, transparency, and potential use by other counties. #FarmAssessment #OpenSource #GIS #PythonDevelopment #AgriculturalValuation #PropertyAssessment #GeoPandas #SpatialOperations #OpenData #FarmCardshttps://video.osgeo.org/videos/embed/e6c4caeb-0dcb-468e-8ec8-18a27e59ae17https://video.osgeo.org/w/3jDuiA7gxhX4Tci9sShyjGhttps://video.osgeo.org/lazy-static/thumbnails/17be50c4-a844-441f-beb2-5c97b6b08b79.jpgFOSS4GNA 2023 | Think Open Source Using QGIS to Capture Geographic UpdatesSummary: FOSS4GNA 2023 presentation on using open source software at the Census Bureau, focusing on the Geographic Update Partnership Software (GUPS), a GIS solution built on QGIS framework. The presentation covers the benefits of open source for federal government, including security, flexibility, free support, and cost savings. The GUPS system integrates QGIS, PostgreSQL, GeoServer, open layers, and more. A demo of GUPS Web showcases features like map management, user invitation, role-based access, and the boundary review tool for automatic change detection. Highlights: 🗺️ FOSS4GNA 2023 presentation on open source software at the Census Bureau, featuring GUPS. 🔄 GUPS, an agile GIS solution using QGIS framework for geographic updates. 💻 Demo of GUPS Web with map management, user invitation, and boundary review tool. 🔐 Benefits of open source for federal government: security, flexibility, free support, cost savings. 🌐 Integration of QGIS, PostgreSQL, GeoServer, open layers, and more in the GUPS system. 🏛️ Overcoming challenges, including getting open source tools approved in government settings. 🚀 GUPS Web deployed as the first Cloud-native containerized Census Bureau system. Video Tags: #FOSS4GNA #OpenSource #GIS #QGIS #CensusBureau #GUPS #GeoServer #PostgreSQL #MapManagement #CloudNative #ContainerizedSystem #FederalGovernment #Security #Flexibility #CostSavings #Demo #GeospatialData #AgileGIS #BoundaryReview #DataSecurity #CensusProgramshttps://video.osgeo.org/videos/embed/12ccc499-dd4c-487d-94ab-284ba4bcec1chttps://video.osgeo.org/w/cLCKUJLr3XniL8gsgwMARhhttps://video.osgeo.org/lazy-static/thumbnails/5caf5501-1a44-43ed-af7b-bae74ca61f5b.jpgFOSS4GNA 2023 | QGIS and Lands Management in Nunatsiavut Labrador - James WilliamsonSummary: James Williamson, GIS specialist for the Nai V government in Northern Labrador, presents on the use of QGIS in land management in Nunatsiavut Labrador. Facing challenges in Northern Canada, including poor internet connectivity, he switched from ArcGIS Pro to QGIS for its open-source capabilities and graphics possibilities. Williamson discusses three main problems that led to adopting QGIS: internet connectivity issues, open file types/methods, and the need for mature graphics capabilities. He highlights projects involving the Labrador Inlands Misalignment, Labrador New Lands Database, and drone mapping tasks, emphasizing QGIS's role in overcoming challenges and achieving accurate geospatial outcomes. Highlights: 🌐 Adoption of QGIS for land management in Northern Labrador. 🖥️ Overcoming internet connectivity issues and open file type challenges. 🗺️ Projects: Labrador Inlands Misalignment, New Lands Database, and drone mapping tasks. 🌐 QGIS's mature graphics capabilities for accurate geospatial outcomes. Video Tags: #FOSS4GNA2023 #QGIS #LandManagement #NunatsiavutLabrador #GIS #Geospatial #RemoteSensing #IndigenousIssues #ConnectivityProblems #OpenSource #DroneMapping #DataManagement #SpatialAnalysis #GraphicsCapabilities #Geostatistics #GISUse #FutureGoalshttps://video.osgeo.org/videos/embed/5f4fe74a-8238-4478-b397-cde1dbd98a3ahttps://video.osgeo.org/w/4hdsVRYZR3X51PLF4vbTT8https://video.osgeo.org/lazy-static/thumbnails/0bdfb067-f12b-4c9f-ab6a-0766d82381dc.jpgFOSS4GNA 2023 | You Can't Get There From Here Alone - Brian TimoneySummary: Brian Timoney, a prominent figure in the geospatial community, delivers a talk on community and geographic knowledge at FOSS4GNA 2023. He discusses the historical context of mapmaking, emphasizing the importance of acknowledging and preserving contributors' work. Timoney also reflects on the evolution of technology, from the first atlas to the current era of accessible spatial data. Despite the widespread use of GPS and the availability of geographic information, he points out challenges, including the increase in backcountry rescues and potential negative effects on human navigation skills. Highlights: - Brian Timoney emphasizes the importance of community and geographic knowledge. - 🗺️ Brian highlights the Atlantic Midland accent and gives a tourist tip for recognizing it. - 🌍 He discusses the history of the first Atlas and the importance of recognizing contributors. - 📱 Brian emphasizes the accessibility of spatial data and the prevalence of GPS devices. - ⚠️ He delves into the negative side effects of technology, including increased backcountry rescues and the potential weakening of our navigation skills. - 🌱 Despite these concerns, Brian acknowledges the optimism surrounding democratization and inclusive growth. #Geospatial #Community #Technology #GPS #OpenSource #SpatialData #Navigation #BackcountryRescue #HistoricalMapmaking #FOSS4GNA2023https://video.osgeo.org/videos/embed/1a8eff68-996c-4569-be01-d4de0d2383c1https://video.osgeo.org/w/p6fwodYL9dU8duTGfymU7Lhttps://video.osgeo.org/lazy-static/thumbnails/e3b8eae5-f773-4ea4-9747-eef16b76b778.jpgFOSS4GNA 2023 | What We Owe One Another: The Political Economy of Open Source - Paul RamseySummary: Paul Ramsey delivers the closing keynote at FOSS4GNA 2023, discussing the paradox of open source software's apparent lack of economic value despite its widespread use and development. He explores the tension between the open source promise of owing nothing and the economic reality of individuals needing to make a living. Paul emphasizes the role of consulting as a viable way for developers to monetize their expertise and discusses the challenges this model poses for maintaining large, critical software infrastructure. Highlights: 🌐 FOSS4GNA 2023 closing keynote by Paul Ramsey explores the economic paradox of open source software. 💼 Consulting emerges as a key means for open source developers to monetize their expertise. 📉 Tension arises from the clash between open source's non-monetary promise and economic necessities. 🔄 The perpetual growth and development of open source challenge traditional economic principles. 💰 Paul reflects on the value of his keynote, given freely in exchange for nothing, and questions its economic worth. 🤝 Open source lacks a clear economic model, involving society, relationships, and non-monetary obligations. 🚀 Despite the challenges, open source software continues to evolve and outcompete alternatives. Video Tags: #FOSS4GNA #OpenSource #Economics #Consulting #SoftwareDevelopment #CommunityEngagement #KeynoteSpeaker #Technology #DigitalEconomy #Programming #TechIndustry #Innovation #FreeSoftware #SoftwareInfrastructure #Monetization #foss4g #geospatial #geoint #gis #osgeohttps://video.osgeo.org/videos/embed/bafddbd1-ba3e-4f3c-9fbb-3d3ae47a6a38https://video.osgeo.org/w/fVVUoEH5t32BkwGJRTqUW9https://video.osgeo.org/lazy-static/thumbnails/71f29467-e29e-4f0b-8d88-aaa34337f91a.jpgFOSS4GNA 2023 - FOSS4G: A network of projects and users elevating OSGeo - Vicky VergaraSummary Vicky Vergara delivers the keynote address at FOSS4GNA 2023, highlighting the collaborative and inclusive nature of OSGeo (Open Source Geospatial Foundation). She emphasizes the role of individuals as OSGeo members and showcases various ways to participate, including project involvement, committee contributions, and community engagement. Highlights 🌐 OSGeo, the Open Source Geospatial Foundation, fosters a network of projects and users dedicated to open philosophy and participatory community-driven development. 🤝 Individuals, not just projects or companies, form the core of OSGeo, contributing as members through various avenues. 🚀 Participation goes beyond developers, extending to roles like project steering committee members, documenters, translators, and even users. 🌍 FOSS4G conferences provide platforms for attendees, speakers, and workshop contributors, organized by local committees, fostering collaboration and knowledge sharing. 🗳️ Ongoing elections for OSGeo charter members, who play a crucial role in selecting the board of directors, demonstrate the democratic and volunteer-driven nature of the foundation. 📧 Getting involved is easy; starting with joining mailing lists, contributing to wikis, translating, and potentially taking on roles in committees or local chapters. 💰 Besides volunteerism, donations from individuals and sponsorships from companies contribute to the financial sustainability of OSGeo and its events. #FOSS4G #OSGeo #Geospatial #OpenSource #CommunityDriven #Volunteerism #GIS #Keynote #Collaboration #Participation #SpatialTechnologyhttps://video.osgeo.org/videos/embed/78e79483-915b-43b6-aba2-bea5249cd3a4https://video.osgeo.org/w/bFJhpABVSyBCUPpgQdqVc8https://video.osgeo.org/lazy-static/thumbnails/cc058a54-3f16-4601-86a2-38bf2ae9d84e.jpgFOSS4G NA 2023 | Towards a Cloud Native Spatial Data Infrastructure - Chris HolmesSummary: Chris Holmes, the keynote speaker at FOSS4G NA 2023, discussed the progress made in building a queryable Earth and highlighted the need for a Cloud Native Spatial Data Infrastructure (SDI). He emphasized the importance of making geospatial data easily accessible and usable, and proposed a simplified approach to SDI called the Cloud Native SDI. Highlights: - Chris Holmes discussed the vision of a queryable Earth, where users can ask specific questions about the state of the planet and receive notifications. - He acknowledged the progress made in foundation geospatial technologies, but noted that more work is needed to make global data sets available for querying. - Chris Holmes highlighted the need for a Cloud Native SDI that simplifies the sharing and use of geospatial information. - He emphasized the importance of simplicity in the SDI architecture and mentioned the Cloud Native Geospatial standards as a step in the right direction. - Chris Holmes introduced two mature standards: PM tiles, which enables instant visualization and styling of geospatial data, and Geopar, a simple standard for geospatial columns on top of Parquet. - He discussed the potential of PM tiles for filtering and searching through large amounts of image footprints, and the benefits of Geopar in terms of smaller and faster geospatial formats. - Chris Holmes highlighted the ability of Parquet to partition huge data sets, enabling a more intuitive geospatial workflow for querying and downloading specific data. 🌍 #CloudNativeSDI #GeospatialData #PMtiles #Geopar #FOSS4GNA2023 #geospatial #gis #opensource #OSGeo #foss4g #geointhttps://video.osgeo.org/videos/embed/5687738d-8994-484c-909e-58abffb7c7b9https://video.osgeo.org/w/mXYPdmR3LV3iFh3EVx9csAhttps://video.osgeo.org/lazy-static/thumbnails/821064da-7be3-49d8-a54b-c703f6f9abc5.jpgFOSS4G NA 2023 | Open Source Mapping Library Shoot Out - Courtney Yatteau & George OwenHighlights 🌐 Courtney and George compare four open-source web mapping libraries in a shootout, covering strengths, weaknesses, and unique features. 🚀 The presentation includes a high-level comparison, performance analysis, and conclusions. 👥 Courtney is a developer advocate at Esri, while George is a product engineer at Esri, both emphasizing open source. Library Comparisons: 🗺️ Mapping Support: All libraries support 2D maps, with MapLibre and Cesium also supporting 2.5D and 3D maps. 📊 Data and Layer Support: WebGL is fully supported by MapLibre and Cesium. Various data types are supported, with Leaflet having the smallest file size. 🎨 Styling Data: Vector tiles are fully supported by MapLibre and Cesium, while Leaflet and OpenLayers offer partial support. 📦 Library File Sizes: Leaflet is the lightest, followed by MapLibre and OpenLayers, with Cesium being larger due to its 3D capabilities. 👥 Community Involvement: Leaflet is the most active library, but all have active communities, providing support on platforms like Stack Overflow and GitHub. Performance Analysis: 🕐 Library Load Times: Leaflet has the fastest load time, with MapLibre and OpenLayers closely following. 🗺️ Base Maps: Performance analysis includes raster and vector tile base maps, map tiles, and GeoJSON data types. ⚙️ Methodology: Tests conducted using Puppeteer JS and Lighthouse on a laptop, acknowledging the non-lab conditions. 📊 Results: Performance graphs show the total time in milliseconds for library load times, with Leaflet being the fastest. Video Tags: #FOSS4GNA #OpenSource #MappingLibrary #WebDevelopment #PerformanceAnalysis #Esri #Leaflet #MapLibre #Cesium #OpenLayers #WebGL #VectorTiles #GeoJSON #CommunityInvolvement #WebMapping #LibraryShootouthttps://video.osgeo.org/videos/embed/a9c7b184-d1e4-49b4-843f-321273202362https://video.osgeo.org/w/vcFvLAeE8JJBSS1dmYcSHBhttps://video.osgeo.org/lazy-static/thumbnails/473d756d-48ef-484a-921d-e0cca92bee80.jpgFOSS4G NA 2024 - Retro PromoFOSS4GNA 2024 Location: St Louis, Mo Dates: Sept 9-11, 2024 Find out more: FOSS4GNA.orghttps://video.osgeo.org/videos/embed/ec7a8db3-612a-4c9c-8d4f-07fdd05a732dhttps://video.osgeo.org/w/m4XFbRemjmx3EMkfDiFm3zhttps://video.osgeo.org/lazy-static/thumbnails/6a9a3ea9-7809-4944-88b9-5601d49fbefd.jpgFOSS4G NA 2024 - B2B Keynote - Jim McKelveyThe FOSS4G NA B2B social brings together open-source leaders from government and industry to network, discuss industry trends, and form partnerships. B2B fosters collaboration, knowledge sharing, and new business opportunities, aiming to strengthen industry connections and drive growth for participating companies. The mission of B2B is to facilitate networking and interpersonal connections that carry collaboration beyond the FOSS4G NA event and will include attendees from both industry and government. This year's event, sponsored by Greater St. Louis, featured a keynote from Square Co-Founder and Author Jim McKelvey.https://video.osgeo.org/videos/embed/a28450da-f94c-4217-b23f-12ffdfc4a9adhttps://video.osgeo.org/w/cxpbvJsFnZ4ZkW5vpdEu43https://video.osgeo.org/lazy-static/thumbnails/6a69dca1-542c-4717-bf31-e43bbcd0d732.jpgFOSS4G NA 2024 - Keynote - Brian MonheiserBrian Monheiser emphasizes the importance of relationships in the geospatial community during the FOSS4G NA 2024 keynote. He reflects on personal experiences and professional journeys that shaped his career, underlining how connections contribute to individual growth and industry development. Highlights 🎉 394 attendees from 7 countries, with 61% first-timers. 💬 Monheiser shares personal reflections on loss and the value of relationships. 🌍 He highlights the evolving geospatial landscape and community engagement. 🎖️ Monheiser’s unexpected journey into geospatial intelligence began in the Marine Corps. 🛠️ He discusses his transition from technical roles to open-source advocacy. 🤝 Emphasizes learning from others and building meaningful connections. 🎓 Acknowledges the influence of mentors and peers in his career journey. For more content like this check out www.projectgeospatial.com #FOSS4G #Geospatial #Networking #Community #OpenSource #GeospatialIntelligence #Leadershiphttps://video.osgeo.org/videos/embed/5d76de3a-c1fd-48f1-8594-8045299eeff0https://video.osgeo.org/w/fnTthdosV57qHeLVhGGG5Qhttps://video.osgeo.org/lazy-static/thumbnails/7d07211d-d672-48b5-9d86-1fd6d41057f8.jpgFOSS4G NA 2024 - Keynote - Nadine Alameh, PhDNadine Alameh, PhD, delivered an insightful keynote at FOSS4G NA 2024, emphasizing the importance of open-source geospatial technologies in addressing contemporary challenges. Highlights 🌍 Open-source geospatial technologies are vital for innovation. 🔍 Collaboration across disciplines enhances project outcomes. 📈 Data transparency fosters trust within communities. 💡 Emphasis on education and training for future leaders. 🤝 Partnerships with various sectors are crucial for growth. 🌐 Global challenges require localized solutions through mapping. 🛠️ Encouragement for developers to contribute to open-source projects. For more content like this check out www.projectgeospatial.com #FOSS4G #Geospatial #OpenSource #Innovation #Collaboration #DataTransparency #CommunityBuildinghttps://video.osgeo.org/videos/embed/746e47b6-bb86-4fcb-b6b0-46685176a9b8https://video.osgeo.org/w/spguAs2NW4TLgwFF3ea1TGhttps://video.osgeo.org/lazy-static/thumbnails/3f92b7e8-5e67-4967-a87c-216b1e7fdf21.jpgFOSS4G NA 2024 - Keynote - Michael ByrneMichael Byrne’s keynote at FOSS4G NA 2024 emphasized the interconnection between broadband investment and geospatial development. He highlighted the importance of public policy and funding in fostering these ecosystems, particularly in the context of the U.S. government’s role. Highlights 🌐 The next FOSS4G NA will be in the DC area, late October to early November 2024. 🏆 Michael Byrne has a rich history as the first Geographic Information Officer for California and the FCC. 📈 Investment in broadband can significantly enhance geospatial output and opportunities. 🤝 Open-source communities require sustained investment and collaboration to thrive. 📚 The Federal Geographic Data Committee was established by an executive order in 1994. 💰 The Federal Geospatial Data Act lacks appropriations, raising concerns about funding for geospatial initiatives. 📡 The Telecommunications Act of 1996 paved the way for modern broadband infrastructure funding through USAC. For more content like this check out www.projectgeospatial.com #FOSS4G #Geospatial #Broadband #PublicPolicy #OpenSource #Infrastructure #Datahttps://video.osgeo.org/videos/embed/d5cd4280-431b-420e-8be1-8df9792bf56ehttps://video.osgeo.org/w/mmMN6sbHDtGapWoWrzj5NXhttps://video.osgeo.org/lazy-static/thumbnails/205f2a65-5a1b-4478-974b-45a337a6696f.jpgFOSS4G NA 2024 - Bringing Geospatial Awareness to LLMs Using Open-Source Software - Nathan McEachenNathan McEachen discusses the integration of geospatial awareness into large language models (LLMs) through open-source software, emphasizing the importance of interoperability and knowledge-sharing in addressing complex societal issues. Highlights 🌍 Geospatial awareness is crucial for addressing public health and climate crises effectively. 🔗 Current data methodologies are siloed, making integration across domains challenging. 📊 Knowledge infrastructures are needed to publish data in interoperable formats for better usability. 🚨 The UN emphasizes collaboration across domains to tackle global challenges like sustainable development. 💡 Large language models can enhance data analysis but require reliable geospatial metadata. 🧩 Spatial knowledge graphs can help bridge gaps between geospatial data and LLMs by ensuring semantic relationships. ⏳ Data validity and changing boundaries pose ongoing challenges in geospatial analysis. For more content like this check out www.projectgeospatial.com #Geospatial #AI #OpenSource #DataIntegration #SustainableDevelopment #KnowledgeGraphs #PublicHealthhttps://video.osgeo.org/videos/embed/a4dddedf-b805-48d4-a859-a4e3b1271a33https://video.osgeo.org/w/jT8pPVLJmVYkdK1D8zFW9jhttps://video.osgeo.org/lazy-static/thumbnails/df9a4d4e-47d9-41ab-b3b9-627d695f0f01.jpgFOSS4G NA 2024 - AI Wrangling in the Early 21st Century - Mark MathisMark Mathis discusses the integration of artificial intelligence with geospatial data, showcasing tools and techniques to enhance data accessibility and usability. Highlights 🌍 Impact Observatory created a global land cover map using AI and convolutional neural networks. 🛠️ Natural language interfaces help users request specific geospatial maps easily. 📊 Prompt engineering is essential for effective communication with AI models. 🔧 Function calling allows AI to write code for precise data retrieval instead of generating possibly inaccurate answers. 📈 Open standards facilitate integration and interoperability in geospatial applications. ⚙️ Tools like LangChain enhance interaction with AI models for geospatial tasks. 🗂️ Asynchronous processing enables efficient handling of complex geospatial requests. For more content like this check out www.projectgeospatial.com #AI #Geospatial #FOSS4G #MachineLearning #DataScience #OpenStandards #ImpactObservatoryhttps://video.osgeo.org/videos/embed/98e7fec6-8776-47ae-b3cb-724953463042https://video.osgeo.org/w/jxDSnPQkDKbKwtGuXPZQcNhttps://video.osgeo.org/lazy-static/thumbnails/fdd3fd3c-10ad-4088-829e-ce1586ccaefc.jpgFOSS4G NA 2024 - Optimized Geospatial Indexing for Hybrid Search and GeoAI - Nicholas KnizeNicholas Knize discusses optimizing geospatial indexing and hybrid search using advanced data structures within the Lucene framework at FOSS4G NA 2024. He emphasizes reducing cloud infrastructure waste and improving geospatial data processing efficiency. Highlights 🌍 Discusses hybrid search and GeoAI advancements. 💡 Explains the evolution of geospatial data structures in Lucene. 📉 Addresses cloud infrastructure waste, estimated at $72 billion. ⚙️ Describes improvements in handling complex shapes and polygons. 🔄 Highlights collaboration between vector and geospatial indexing. 📊 Emphasizes efficiency in search data structures for better performance. 🛠️ Shares insights from experience at Elasticsearch and Lucene. For more content like this check out www.projectgeospatial.com #Geospatial #DataStructures #HybridSearch #CloudComputing #GeoAI #Lucene #FOSS4Ghttps://video.osgeo.org/videos/embed/962fe3dc-16f8-4a8a-bfae-a6919d043da4https://video.osgeo.org/w/xiQ4ogejbFtcv2s9yQLJR5https://video.osgeo.org/lazy-static/thumbnails/f777fb75-068a-4c80-a0b8-656a2d381a75.jpgFOSS4G NA 2024 - Serving Earth Observation Data with GeoServer - Andrea AimeAndrea Aime discusses how GeoServer facilitates the serving of Earth observation data, focusing on capabilities like cataloging, filtering, and image mosaicking from satellite data. Highlights 🌍 GeoServer aids in managing vast Earth observation data from satellites and sensors. 📊 The STAC API helps organize data into collections, making it easier to search. 🔍 Customizable HTML interface enhances user experience for accessing data. 🗄️ Image mosaics can be created dynamically, allowing for flexible data representation. ⚙️ Supports various data sources, including local file systems and cloud storage. 📈 Advanced filtering and sorting optimize data retrieval for specific needs. 🖼️ Coverage views enable the integration of multi-band imagery for comprehensive analysis. For more content like this check out www.projectgeospatial.com #GeoServer #EarthObservation #OpenSource #DataManagement #SatelliteData #ImageMosaic #SpatialAnalysishttps://video.osgeo.org/videos/embed/fd888f3f-0344-4559-976e-c2ceaeac42e6https://video.osgeo.org/w/v2tBKFn3p8TTqbzY85SAmqhttps://video.osgeo.org/lazy-static/thumbnails/fc1c1397-9318-4b2a-9862-4afa0bec5139.jpgFOSS4G NA 2024 - Applying Large Language Models to Geospatial Search and Analysis - Jason GilmanJason Gilman from Element 84 discusses the integration of large language models (LLMs) with geospatial data to enhance search and analysis capabilities in his talk at FOSS4G NA 2024. Highlights 🌍 LLMs can bridge the gap between geospatial data and user inquiries, enabling effective search. 🤖 LLMs function like CPUs, processing natural language but lacking real-world awareness. 🌐 A “broker” system is essential to manage LLM’s capabilities and ensure deterministic outputs. 📊 The use of JSON and vector databases facilitates efficient data extraction and manipulation. 🗺️ Natural language geocoding allows users to specify geospatial queries easily. 💻 LLMs can generate SQL queries from natural language, streamlining database interactions. ⚡ Performance optimization is crucial, balancing prompt brevity with output quality. For more content like this check out www.projectgeospatial.com #Geospatial #AI #LLM #DataAnalysis #FOSS4G #NaturalLanguageProcessing #TechInnovationhttps://video.osgeo.org/videos/embed/eb0dc8bd-74c8-41c9-b233-f9b98f5f5158https://video.osgeo.org/w/jWLnXZXJBUT7qysyEESnPuhttps://video.osgeo.org/lazy-static/thumbnails/803c0ad5-3afc-4e45-82be-1e4b01327b57.jpgFOSS4G NA 2024 - Embed All The Things: The Promise Of Geospatial Vector Embeddings - Adeel HassanAdeel Hassan discusses the significance of geospatial vector embeddings derived from imagery, highlighting their potential in the geospatial domain through open-source models and tools. Highlights 🌍 Vector embeddings are crucial for analyzing high-dimensional geospatial data. 🧠 They represent data points in a lower-dimensional space, revealing similarities and dissimilarities. 📊 Applications include clustering similar images and detecting changes over time. 🔍 Text-image embeddings enable natural language search based on image content. 🚀 Open-source models like Sky Clip enhance functionality for geospatial applications. 📈 Seasonal variations in embeddings can indicate environmental changes and events like floods. 🛠️ The technology is still evolving, presenting both opportunities and challenges. For more content like this check out www.projectgeospatial.com #Geospatial #MachineLearning #VectorEmbeddings #OpenSource #DataAnalysis #RemoteSensing #AIhttps://video.osgeo.org/videos/embed/996a0241-b3ba-4b7f-a238-ab974a8939a6https://video.osgeo.org/w/uHfFReRyhsomZL5DGbhPUshttps://video.osgeo.org/lazy-static/thumbnails/1cbcc887-1940-49c5-ba62-0125c6cb2182.jpgFOSS4G NA 2024 - Build vs Buy vs Open Source - Dan PiloneDan Pilone discusses the complexities of choosing between building, buying, or adopting open-source software, particularly in the geospatial software development context. He emphasizes the importance of decision-making criteria to mitigate risks and enhance project success rates. Highlights 💡 Understanding the importance of open-source can lead to better decision-making. 📊 Projects are often challenged, with success rates around 30%. 📉 Smaller projects tend to perform better and stay within budget. 🤝 Open-source offers a shared responsibility model, balancing risks. ⚖️ Key criteria for decision-making include cost, scalability, and integration. 🛠️ Engaging with your team on these criteria is crucial for alignment. 🔍 Evaluate all options before committing to a build or purchase. For more content like this check out www.projectgeospatial.com #OpenSource #SoftwareDevelopment #Geospatial #ProjectManagement #RiskMitigation #DecisionMaking #FOSS4Ghttps://video.osgeo.org/videos/embed/e8826da2-dcda-413b-9d30-b851deafa2dehttps://video.osgeo.org/w/uz4P3z5cBL6293f8rpyywzhttps://video.osgeo.org/lazy-static/thumbnails/8047416c-72b1-40c8-bd22-ce08e49fa859.jpgFOSS4G NA 2024 - Building a React Component Library for Geospatial Web Map Apps - Joe BurkinshawJoe Burkinshaw discusses the development of a React component library aimed at enhancing user interfaces for geospatial web applications. He emphasizes the challenges of repetitive coding and the need for modular, reusable components to streamline development. Highlights 🌍 Joe Burkinshaw, a geospatial developer, focuses on creating user interfaces for geospatial data. 🔄 Identified the need for a component library to avoid repetitive coding in web map applications. 🛠️ The library will feature customizable and reusable UI elements, enhancing development efficiency. 💡 Collaboration with the European Space Agency’s project aims to promote modular design. 📦 React’s component-based architecture facilitates building flexible and maintainable applications. 🔍 Acknowledges the importance of open-source technologies and standards in development. 🚀 The project aims to create value for customers, developers, and the open-source community. For more content like this check out www.projectgeospatial.com #Geospatial #WebDevelopment #OpenSource #React #ComponentLibrary #UserInterface #Innovationhttps://video.osgeo.org/videos/embed/e75dc68b-b047-4bed-9856-9e630224f63dhttps://video.osgeo.org/w/6CD4x3Qyb6ybBE2w2pdRxihttps://video.osgeo.org/lazy-static/thumbnails/32072f37-9390-42b1-96c6-d412ae6f322a.jpgFOSS4G NA 2024 - Geospatial Radar Report 2024 - Lauren FredericLauren Frederick, CTO at Element 84, discusses the launch of the 2024 Geospatial Tech Radar, highlighting its evolution and the growing influence of AI in geospatial technology. Highlights 🌍 Element 84 is a woman-owned business focused on geospatial data and software solutions. 📊 The Tech Radar serves as a resource for the geospatial community, showcasing trends and technologies. 🤖 AI technologies have seen a significant increase, now comprising almost half of the new 2024 blips. 🔒 Security and user experience are now integrated into the radar, reflecting broader considerations beyond just geospatial. 📈 Year-over-year comparisons show movement towards adopting new technologies. 📝 Internal and external inputs shaped the updated radar, fostering valuable discussions. 💡 The goal of the radar is to simplify the overwhelming landscape of geospatial tech. For more content like this check out www.projectgeospatial.com #GeospatialTech #AI #TechRadar #Innovation #Element84 #OpenSource #DataVisualizationhttps://video.osgeo.org/videos/embed/2d9b4f03-4fdd-43e4-85f1-a8f75cdbb8ebhttps://video.osgeo.org/w/je5Y9F3tUZdTMqhRkXRhPZhttps://video.osgeo.org/lazy-static/thumbnails/e8d1e82e-4950-4202-a1b1-ad6334d2b5c9.jpgFOSS4G NA 2024 - Interactive Analysis & Visualization of Geospatial Data with Leafmap - Qiusheng WuQiusheng Wu’s presentation on Leafmap at FOSS4G NA 2024 highlights its capabilities for interactive geospatial data visualization using Python. Leafmap simplifies data access and mapping tasks, making it ideal for users at all skill levels. Highlights 🌐 Leafmap allows browser-based geospatial data visualization without the need for desktop software. 🐍 It’s built on Python, making it user-friendly for both beginners and experienced programmers. 📊 The platform supports multiple mapping libraries and offers a unified API for ease of use. 🌍 Users can directly access and visualize open access geospatial data from various sources. ⚙️ Leafmap includes more than 95 tutorials and examples to assist users in learning and utilizing its features. 🔄 Interactive tools like time sliders and linked maps enhance data comparison and analysis. 📈 With over 500 available tools, Leafmap supports a wide range of geospatial analyses efficiently. For more content like this check out www.projectgeospatial.com #Geospatial #Leafmap #Python #DataVisualization #OpenSource #FOSS4G #GeospatialAnalysishttps://video.osgeo.org/videos/embed/93983a01-a213-4f29-86af-630eb5a0c857https://video.osgeo.org/w/tns2iG4uBnanVXY66CtXSLhttps://video.osgeo.org/lazy-static/thumbnails/00ab2c07-df2b-419a-bad2-b78082883d27.jpgFOSS4G NA 2024 - Leveraging FOSS to Develop OSINT Visual Analytics Framework - Matthew WhiteheadMatthew Whitehead discusses leveraging open-source software (FOSS) to create an Open Source Intelligence (OSINT) visualization and analytics framework. The framework aims to analyze publicly available data for decision-making and threat assessment. Highlights 🌐 Focus on OSINT: The framework is designed to gather and assess public information for intelligence. 🛠️ Extensible Architecture: Built to allow future iterations and improvements over time. 📊 Situational Awareness: Aimed at creating a unified dashboard for data visualization and anomaly detection. 🔄 Global Data Collation: Integrates various data sources for comprehensive analysis. 🚀 Live Demo: Showcases the framework’s capabilities in real-time analytics and data visualization. 🏗️ Workflow Management: Utilizes advanced tools like Metaflow for efficient data processing and management. 🔍 Anomaly Detection: Implements algorithms to identify significant changes in data patterns. For more content like this check out www.projectgeospatial.com #OSINT #OpenSource #DataAnalytics #Visualization #FOSS4G #Geospatial #DataSciencehttps://video.osgeo.org/videos/embed/dda56661-8078-4c4f-acc1-fea282201314https://video.osgeo.org/w/q4viYYoy1egrMZ9HszT7Fhhttps://video.osgeo.org/lazy-static/thumbnails/2ecd9132-989c-405a-973f-d55a69a30f03.jpgFOSS4G NA 2024 - Mapillary: An Open Platform for Street Level Imagery - Edoardo NeerhutEduardo Neerhut discusses Mapillary, a collaborative street-level imagery platform, highlighting its extensive data collection and innovative applications for mapping and urban planning. Highlights 🌐 Mapillary features 2.4 billion images, showcasing global contributions and extensive coverage since its 2013 inception. 🖥 The platform uses computer vision to create 3D reconstructions from user-uploaded images, enhancing data accuracy. 🏙 Various cities, like Detroit and Fresno, leverage Mapillary for efficient urban data management and asset tracking. 🚗 Open source and community-driven, Mapillary allows anyone to contribute imagery, contrasting with traditional methods like Google Street View. 📱 Users can easily capture and upload images using smartphones or cameras, promoting widespread participation in mapping efforts. For more content like this check out www.projectgeospatial.com #Mapillary #Street-level #imagery #Computer #vision #Urban #planning #Open #sourcehttps://video.osgeo.org/videos/embed/c2d89f42-289d-4043-826f-74ce9eebda46https://video.osgeo.org/w/jAMLUwzuQvau9iuQ3GjPN5https://video.osgeo.org/lazy-static/thumbnails/261cd474-1672-4abf-b13e-147472db7521.jpgFOSS4G NA 2024 - Maps as Art Using FOSS - Tracy HomerTracy Homer discusses the intersection of open-source mapping and art in her presentation, showcasing various artistic map projects she has completed using open-source tools and technologies. Highlights 🎨 Tracy Homer merges open-source mapping with artistic expression. 🧵 Created a unique cross-stitch map of Tennessee, demonstrating pixel art techniques. ✂️ Utilized CNC laser cutting for detailed maps of her hometown and Tennessee’s hydrology. 🖥️ Inkscape and QGIS are key tools for vector editing and data management. 🏞️ 3D printing of topographic maps highlights the importance of vertical exaggeration. 🌍 Discussed challenges in simplifying complex map data for various projects. 🔄 Shared tips on customizing patterns and optimizing designs for efficient production. For more content like this check out www.projectgeospatial.com #OpenSource #MappingArt #FOSS4G #3DPrinting #GIS #CreativeDesign #Inkscape #CommunityArthttps://video.osgeo.org/videos/embed/969ffe51-b9ce-42e0-b72a-0faba32c7b9chttps://video.osgeo.org/w/dbbuTCAU5f2gBe4B26fkCdhttps://video.osgeo.org/lazy-static/thumbnails/a25e7477-6f86-40d7-a851-6ceae8f90984.jpgFOSS4G NA 2024 - Maptivism: How GIS Takes Down Bad Guys and Preserves Truth - Jenna DolecekJenna Dolecek discusses the vital role of open GIS data in investigating human rights violations, presenting projects that leverage geospatial analysis to track detention facilities in Tibet and document the destruction of villages in Myanmar. Highlights 🌍 Open GIS data aids in global human rights investigations. 🗺️ The Tibet research project identified 85 detention facilities using crowd-sourced data. 🔍 Geospatial analysis confirmed a prison’s location through multiple data sources. 🔥 The Ochelli project documented village destruction during Myanmar’s clearance operations. 📊 Data from NASA and Google Earth was crucial for verifying incidents. 📈 Trends and patterns are visualized using maps to understand conflict dynamics. 📸 Tools like Mapillary complement existing data sources for investigations. For more content like this check out www.projectgeospatial.com #GIS #HumanRights #OpenData #Maptivism #GeospatialAnalysis #FOSS4G #DataSciencehttps://video.osgeo.org/videos/embed/62999241-3e04-4732-aece-063464308040https://video.osgeo.org/w/vZ1VFXDgiUY5dgBSFCXBBWhttps://video.osgeo.org/lazy-static/thumbnails/25987d2d-c4b7-45fe-ae90-b27350bb7336.jpgFOSS4G NA 2024 - My Talk is Just Beach Remote Sensing - Michele TobiasMichele Tobias shares insights on using publicly available data for remote sensing of sandy beaches, emphasizing the challenges of traditional data collection methods and the potential of open-source tools. Highlights 🌊 Focus on Beach Remote Sensing: Utilizing open data to analyze coastal ecosystems. 📊 Challenges of Traditional Methods: Fieldwork is costly and time-consuming, with limited sampling frequency. 🚁 Limitations of Aerial Imagery: Custom flights and drones face logistical and regulatory hurdles. 💻 Tools Used: Primarily R with Terra and SF packages for data analysis. 🌱 Importance of Vegetation: Small plants play a crucial role in beach ecology and dune formation. 📈 Data Quality: Sentinel imagery provides lower resolution, impacting vegetation detection quality. 🔍 Future Directions: Need for improved methodologies and better data resolution for effective environmental monitoring. For more content like this check out www.projectgeospatial.com #RemoteSensing #BeachEcology #OpenData #DataScience #CoastalResearch #EnvironmentalMonitoring #GIShttps://video.osgeo.org/videos/embed/f2cefc8a-f123-424a-a859-6464eaf47348https://video.osgeo.org/w/mz5XCRq9tx81TTdQAfZa9Jhttps://video.osgeo.org/lazy-static/thumbnails/f76f64c9-1bb4-4619-8409-83174cbbf46f.jpgFOSS4G NA 2024 - NASA GIBS and Worldview: Enabling Open Exploration of our World - Matthew GraberThe talk presents the Overture Map Foundation, a collaborative initiative aimed at creating reliable and interoperable open map data. The foundation seeks to streamline map data management and provides a unified approach to geographic features through a Global Entity Reference System (GERS). Highlights 🌍 Overture Map Foundation aims to create a “Linux kernel” for geospatial data. 🗺️ Collaboration among various companies to avoid redundant map creation. 🔑 GERS provides unique IDs for geographic features, ensuring consistency over time. 📊 Data includes addresses, buildings, land use, and transportation networks. 🔄 Schema enforcement enhances data integrity and usability. 📂 Use of GeoParquet files for efficient data streaming and management. 📖 Open access to documentation and resources for users. For more content like this check out www.projectgeospatial.com #OvertureMapFoundation #GeospatialData #OpenData #GIS #MapData #Collaboration #GeoParquethttps://video.osgeo.org/videos/embed/a6955fb4-4224-4e33-acd3-79bdd3ea3446https://video.osgeo.org/w/5jKpjpzabyPEynbFwpsU5Zhttps://video.osgeo.org/lazy-static/thumbnails/f88ae8d1-02c6-426f-b658-2781162c843f.jpgFOSS4G NA 2024 - Raster Visualizations Leveraging STAC Standards - Chuck Daniels & Hanbyul JoThe presentation discusses the development and integration of a render extension for STAC metadata standards to enhance raster visualizations for Earth data science. Highlights 🌏 Explanation of the need for a platform to manage and visualize large Earth data sets. 🖱 Presentation of the stack browser, a tool for easy data discovery and browsing. 💾 Discussion on the creation of a render extension to centralize rendering metadata. 📈 Overview of how the integration improves data visualization consistency across various clients. For more content like this check out www.projectgeospatial.com #STAC #Earth #data #science #Vera #dashboard #raster #visualization #metadata #standardshttps://video.osgeo.org/videos/embed/2302b0a0-60ba-4113-8472-2ce8646b8b71https://video.osgeo.org/w/s5MS73evaeaJCKwyhQqm4Ehttps://video.osgeo.org/lazy-static/thumbnails/84a8891d-4541-44df-b75c-74e7bbbfb8b2.jpgFOSS4G NA 2024 - Overture Map Data: What, Why, & How - Steven Pousty & Jennings AndersonThe talk presents the Overture Map Foundation, a collaborative initiative aimed at creating reliable and interoperable open map data. The foundation seeks to streamline map data management and provides a unified approach to geographic features through a Global Entity Reference System (GERS). Highlights 🌍 Overture Map Foundation aims to create a “Linux kernel” for geospatial data. 🗺️ Collaboration among various companies to avoid redundant map creation. 🔑 GERS provides unique IDs for geographic features, ensuring consistency over time. 📊 Data includes addresses, buildings, land use, and transportation networks. 🔄 Schema enforcement enhances data integrity and usability. 📂 Use of GeoParquet files for efficient data streaming and management. 📖 Open access to documentation and resources for users. For more content like this check out www.projectgeospatial.com #OvertureMapFoundation #GeospatialData #OpenData #GIS #MapData #Collaboration #GeoParquethttps://video.osgeo.org/videos/embed/d338d848-19c7-4c05-be5c-a2c670cebe64https://video.osgeo.org/w/rLpVWtvGd1X9tT8c1wZ7DDhttps://video.osgeo.org/lazy-static/thumbnails/e827b4e7-5515-4454-91c8-ffd8a561bce9.jpgFOSS4G NA 2024 - Postgres and PostGIS Ops Management - Elizabeth ChristensenElizabeth Christensen discusses effective management of Postgres and PostGIS databases, focusing on operations, resource management, and the importance of indexing. Highlights 📊 Postgres versions: Upgrade to 14, 15, or 16 for better performance. ☁️ Hosting options: Choose between self-managing or fully managed cloud services. 📈 Memory matters: Allocate sufficient memory for optimal database performance. 🔍 Indexing importance: Essential for efficient spatial data querying. 🛠️ Monitoring: Set up proper logging and monitoring systems for performance insights. 💻 Free resources: Check out learn.crunchydata.com for tutorials on SQL and PostGIS. 🔄 Regular updates: Keep up with quarterly maintenance versions for security and performance. For more content like this check out www.projectgeospatial.com #Postgres #PostGIS #DatabaseManagement #OpenSource #TechTalk #FOSS4G #DataSciencehttps://video.osgeo.org/videos/embed/d0a7f093-f850-493a-a600-3c8d88e94967https://video.osgeo.org/w/w4spwwuEitJM1VvVjk9Vvyhttps://video.osgeo.org/lazy-static/thumbnails/5dbdfed0-7db6-4888-a01e-2cbcd6134050.jpgFOSS4G NA 2024 - Scraping GeoSpatial Data from Web Maps - Peter Herman & Carina HoyerPeter Herman and Karina Hoyer discuss beginner-friendly methods for scraping geospatial data from web maps, including techniques using R and Google Sheets. Highlights 🌐 Introduction to web scraping for geospatial data presented by experts from NOC. 🛠️ Overview of three scraping methods: HTML/XML queries, fetch requests, and undocumented APIs. 📊 Emphasis on transforming web map data into tabular datasets for analysis. 🔍 Challenges of scraping dynamic web maps that load data upon user interaction. 📈 R and Google Sheets showcased as tools for accessing and cleaning scraped data. 📉 Explanation of difficulties with web maps requiring authentication for data access. 🧩 Tips for finding hidden data in developer tools and using XPath queries in Google Sheets. For more content like this check out www.projectgeospatial.com #WebScraping #GeospatialData #DataScience #RStats #Python #GoogleSheets #FOSS4GNA2024https://video.osgeo.org/videos/embed/f36daa06-0dbd-443d-a754-c32be5a1f296https://video.osgeo.org/w/ePpp4yGjU5AxHDNwNwqXCYhttps://video.osgeo.org/lazy-static/thumbnails/e29150e0-3fae-487c-b158-05a300b74674.jpgFOSS4G NA 2024 - Searching the Spatial Data Lake: Bring GeoParquet to Apache Lucene - Wes RichardetWes Richardet’s talk at FOSS4G NA 2024 focuses on improving search capabilities within spatial data lakes using GeoParquet and Apache Lucene. He discusses the evolution of data storage, the need for efficient search solutions, and the integration of different technologies to enhance performance. Highlights 🌍 Wes Richardet emphasizes the importance of searching in spatial data lakes. 🔍 Apache Lucene serves as the foundational technology for various search engines. 📈 The rise of big data led to challenges in efficient data retrieval and storage. 🛠️ New extensions for PostgreSQL and other databases enhance search capabilities. ⚙️ Lucene’s inverted index improves search performance by allowing efficient document retrieval. 📊 GeoParquet offers a hybrid storage solution that balances row and columnar access patterns. 💡 Richardet advocates for leaving data in its original storage to reduce redundancy. For more content like this check out www.projectgeospatial.com #SpatialData #GeoParquet #ApacheLucene #BigData #FOSS4G #DataStorage #SearchOptimizationhttps://video.osgeo.org/videos/embed/6fe52dd6-e084-4ce6-ae58-165fa6c592fchttps://video.osgeo.org/w/2vq19kJRDHfqtasFdCNoiWhttps://video.osgeo.org/lazy-static/thumbnails/1fed7ea9-05fe-414d-9a53-666acc135896.jpgFOSS4G NA 2024 - Speeding Up Raster/Vector Zonal Analysis with exactextract - Dan BastonDan Baston presents “exactextract,” a library designed for efficient raster/vector zonal statistics analysis. This tool accurately transfers information from raster datasets to vector datasets, addressing limitations in existing methods. Highlights 🌍 Dan Baston is a software engineer focusing on open-source projects, primarily for federal government consulting. 🛠️ “exactextract” simplifies the process of zonal statistics, especially for large and complex datasets. 📊 The library efficiently handles raster data, making it suitable for diverse applications like climate modeling. ⚡ It improves speed and accuracy compared to traditional methods like point-in-polygon tests. 📈 Benchmarks indicate significant performance improvements over existing tools like QGIS and Python’s raster stats. 🧠 The library allows for population-weighted calculations, enhancing analysis relevance. 📦 Recently released a Python interface, expanding accessibility for users. For more content like this check out www.projectgeospatial.com #GIS #OpenSource #DataAnalysis #Raster #Vector #ZonalStatistics #ClimateModelinghttps://video.osgeo.org/videos/embed/0c348002-d869-4046-9ebd-d4b0c7561dd8https://video.osgeo.org/w/wufEWunWtgjDV6Do6zfPR8https://video.osgeo.org/lazy-static/thumbnails/79e96b9b-4cdd-43b4-9aab-32b3b833781e.jpgFOSS4G NA 2024 - STAC for Public EO Data - Matthew HansonMatthew Hanson discusses recent updates and challenges surrounding the SpatioTemporal Asset Catalog (STAC) at the FOSS4G NA 2024 conference, emphasizing its open-source ecosystem and the importance of data extensions. Highlights 🌐 STAC is an open-source framework for geospatial data management. 📈 Adoption is a key metric for the maturity of its specifications. 📊 78 extensions exist, categorized by their maturity and usefulness. 🔍 Content and usage extensions serve different purposes in data management. 📅 STAC 1.1 introduces a flexible bands construct for better metadata definition. 🤝 Leadership diversity in STAC’s steering committee is a concern. 🛠️ Challenges include bloated metadata and interoperability across providers. For more content like this check out www.projectgeospatial.com #STAC #GeospatialData #FOSS4G #OpenSource #DataManagement #Metadata #EarthObservationhttps://video.osgeo.org/videos/embed/f6e406e3-c1cb-4578-8549-d6f49214271dhttps://video.osgeo.org/w/uCtgGF8hWCVJ2Mrtnvxk7Hhttps://video.osgeo.org/lazy-static/thumbnails/cd441dae-ca87-496c-a8cb-9dbbab60a7c8.jpgFOSS4G NA 2024 - Tracking Detected Vessels at Sea from USVs - Jonathan Mason & Jian WuThe presentation by Jonathan Mason and Jian Wu discusses the use of unmanned surface vehicles (USVs), specifically sail drones, for tracking vessels at sea. It highlights the unique challenges of ocean exploration and monitoring, and how sail drones, powered by wind and solar energy, enable efficient data collection for various applications including maritime domain awareness. Highlights 🌊 The ocean covers 70% of our planet, yet only 25% is mapped. 🚀 Sail drones are autonomous vessels that eliminate the need for transporting people and supplies. 🔍 Key applications include maritime security and ecosystem monitoring. 💻 Data is processed in real-time using advanced cloud infrastructure. 📊 Drones use various sensors for effective detection and tracking of vessels. 📱 Users can access real-time data via a web application, enhancing decision-making. ⚡ Efficient data management minimizes database writes and optimizes performance. For more content like this check out www.projectgeospatial.com #OceanResearch #MaritimeSecurity #SailDrone #USV #DataScience #Geospatial #FOSS4G #Innovationhttps://video.osgeo.org/videos/embed/e7d776e1-25ee-4a58-bcf4-531ee3046d39https://video.osgeo.org/w/1ayDfSBtm3kmMbWbRefkCZhttps://video.osgeo.org/lazy-static/thumbnails/f40ba7bf-ce7f-4f30-8088-ff03e89cf425.jpgFOSS4G NA 2024 - Web based NWS Guidance Data Displays Using FOSS4G - David Miller & Kevin McGrathDavid Miller and Kevin McGrath discuss advancements in web-based National Weather Service (NWS) guidance data displays using FOSS4G technologies. They highlight the evolution of their web mapping tools, focusing on improved interactivity and data accessibility. Highlights 🌐 Transitioned NWS viewer to cloud-based services for better performance. 📊 Introduced the National Digital Forecast Database for comprehensive weather data. 🔄 Enhanced user interaction with features like mouseover readouts and forecast sliders. ☁️ Utilized Amazon Web Services for streamlined data processing and storage. 🖥️ Employed open-source tools like OpenLayers and MapServer for development. ♻️ Improved mobile accessibility to aid field users in weather forecasting. 🔍 Integrated various data models to improve accuracy and reliability of forecasts. For more content like this check out www.projectgeospatial.com #WeatherForecasting #FOSS4G #OpenSource #WebMapping #DataVisualization #NWS #CloudComputinghttps://video.osgeo.org/videos/embed/0155cf7c-8d4d-4a67-8b2c-7d105d17972dhttps://video.osgeo.org/w/3BR9tyyM8SmL5j6MrRC5BXhttps://video.osgeo.org/lazy-static/thumbnails/8f477449-19ea-4ac0-abd7-e4d65a38c7f2.jpgFOSS4G NA 2024 - Your API is Not Enough: Delivering Data the Last Mile - Alex MandelAlex Mandel discusses the challenges in geospatial data exchange, emphasizing the importance of effective data delivery and accessibility. Highlights 📊 Many face hurdles in data production, serving, and consumption. 🌐 Historical evolution from sneaker net to cloud storage has shaped data sharing. 📉 NASA data is projected to grow exponentially, raising questions about accessibility. 🧩 Complex APIs and proprietary formats can hinder data usability. 🔍 Search APIs are crucial for navigating vast data catalogs. ⚠️ Documentation often lacks clarity, complicating the data retrieval process. ❗ Community standards should be prioritized to avoid redundant tool development. For more content like this check out www.projectgeospatial.com #GeospatialData #DataAccessibility #FOSS4G2024 #APIs #GeospatialEngineering #DataDelivery #OpenDatahttps://video.osgeo.org/videos/embed/153398bd-bb5a-4e84-93b5-68b641c91ec5https://video.osgeo.org/w/bo5ocba7cgPqBPPsbT9Qi9https://video.osgeo.org/lazy-static/thumbnails/6290d430-fb6d-4167-b58e-df23620d0e7b.jpgFOSS4G NA 2024 - Open Source in U S Census Bureau Geographic Update Applications - Emily VratarichThe presentation discusses the Geographic Update Partnership Software (GUPS) used by the U.S. Census Bureau, which leverages open-source tools to streamline geospatial data updates. The software, developed on QGIS since 2015, enhances collaboration with local governments, allowing automated and manual updates of geographic features. A demo showcases user-friendly tools for boundary adjustments, aiming to replace traditional paper methods. Highlights 🌍 GUPS enhances geographic data updates at the Census Bureau using open-source software. 🛠️ Developed on QGIS, it offers a no-cost solution for local government partners. 🔄 Features real-time collaboration and online accessibility, eliminating software downloads. ⚙️ Integrates powerful tools for automated and manual change creation. ☁️ GUPS Web is a cloud-native application, improving scalability and processing. 🔒 Open-source allows for security enhancements and community support. 📅 Plans to expand functionalities for various Census programs through 2030. For more content like this check out www.projectgeospatial.com #OpenSource #Geospatial #CensusBureau #GIS #GUPS #DataManagement #Innovationhttps://video.osgeo.org/videos/embed/5410734f-940e-4572-baa9-ccaefd97d352https://video.osgeo.org/w/9ZhLjxbmaJJ71iito8MnHjhttps://video.osgeo.org/lazy-static/thumbnails/cf854545-99ce-4fca-9736-62c80a79ca1f.jpgFOSS4G - Blazing Fast Geospatial SQL in DuckDB - Isaac BrodskyIsaac Brodsky discusses the integration of H3, an open-source hierarchical hexagonal grid system, with DuckDB, an analytical SQL database, to enhance geospatial data analysis. This combination enables efficient querying and manipulation of diverse datasets in real-time. Highlights 🚀 H3 is an innovative grid system from Uber for geospatial data analysis. 💻 DuckDB serves as a powerful, single-node SQL engine for high-performance analytics. 🔄 The H3 and DuckDB integration simplifies complex geospatial queries. 📊 DuckDB extensions enhance functionality, allowing seamless data manipulation. 🌐 Uses include real-time querying of Overture places data for points of interest. ⏱️ Demonstrates rapid data processing and visualization capabilities. 📦 Supports integration with cloud storage for efficient data management. For more content like this check out www.projectgeospatial.com #GeospatialAnalytics #DataScience #H3 #DuckDB #OpenSource #SQL #FOSS4G2024https://video.osgeo.org/videos/embed/48c8d5de-edb1-477f-adee-29925a7b21c8https://video.osgeo.org/w/fytxz3gGFLg6fYnkHdQx2zhttps://video.osgeo.org/lazy-static/thumbnails/8e7280ac-4a0f-487a-b9ef-28ed631616ab.jpgPostGIS Surprise, the Sequel with Regina ObeIn PostGIS Day 2023, PostGIS and friends demonstrated how to broadcast critical messages using a custom built imagery alphabet among other tidbits of spatial magic. What more can this cast of characters do? Come watch and leave awestruck.https://video.osgeo.org/videos/embed/75e8b777-0e4f-4386-846d-10b7664415d7https://video.osgeo.org/w/1yBqs6cvZw9Uo4hP9Y5g5vhttps://video.osgeo.org/lazy-static/thumbnails/4a08f957-b95b-4055-804f-1f2695eca725.jpgJournées QGIS FR 2024 - GeoITW de Humbert FiorinoMini interview réalisée pendant les rencontres des utilisateurs francophones de QGIS organisée les 27 et 28 mars 2024 à Grenoble par l'OSGeo-FR et l'Université Grenoble Alpes. Questions : - Ces journées sont un moment fort de l'association OSGeo-FR ? - Un moment que tu as particulièrement apprécié durant l'événement ? - Comment se prépare un tel événement ? - Qu'est-ce que tu retiens de la conférence ? Interviews réalisées et produites par Geotribu - http://geotribu.frhttps://video.osgeo.org/videos/embed/048da144-1290-43c6-818b-f379aff31401https://video.osgeo.org/w/3ccedhhGTGTJ2kT5kyPGjrhttps://video.osgeo.org/lazy-static/thumbnails/b02853d6-2f5a-4200-8cf0-00a8ab960279.jpgJournées QGIS FR 2024 - GeoITW de Denis RouzaudMini interview réalisée pendant les rencontres des utilisateurs francophones de QGIS organisée les 27 et 28 mars 2024 à Grenoble par l'OSGeo-FR et l'Université Grenoble Alpes. Questions : - Ces journées sont un moment fort de l'association OSGeo-FR ? - Un moment que tu as particulièrement apprécié durant l'événement ? - Comment se prépare un tel événement ? - Qu'est-ce que tu retiens de la conférence ? Interviews réalisées et produites par Geotribu - http://geotribu.frhttps://video.osgeo.org/videos/embed/11c260cf-212d-484c-98bc-11ebe96ed985https://video.osgeo.org/w/foprEU87GbNRYeRgeoTmKjhttps://video.osgeo.org/lazy-static/thumbnails/f787cc5d-67bb-4d6a-bd02-d487fe5f6c3f.jpgJournées QGIS FR 2024 - GeoITW de Céline PorninMini interview réalisée pendant les rencontres des utilisateurs francophones de QGIS organisée les 27 et 28 mars 2024 à Grenoble par l'OSGeo-FR et l'Université Grenoble Alpes. Questions : - Ces journées sont un moment fort de l'association OSGeo-FR ? - Un moment que tu as particulièrement apprécié durant l'évènement ? - Comment se prépare un tel évènement ? - Qu'est-ce que tu retiens de la conférence ? Interviews réalisées et produites par Geotribu - http://geotribu.frhttps://video.osgeo.org/videos/embed/7480c04e-3fd5-42b8-bb45-40ead3797058https://video.osgeo.org/w/4fGfHCHr4hcifDvtToJDLqhttps://video.osgeo.org/lazy-static/thumbnails/18aa8bb9-3557-4f37-a06d-7c7a38b39a80.jpgJournées QGIS FR 2024 - GeoITW de Julien WaddleMini interview réalisée pendant les rencontres des utilisateurs francophones de QGIS organisée les 27 et 28 mars 2024 à Grenoble par l'OSGeo-FR et l'Université Grenoble Alpes. Questions : - Ces journées sont un moment fort de l'association OSGeo-FR ? - Un moment que tu as particulièrement apprécié durant l'événement ? - Comment se prépare un tel événement ? - Qu'est-ce que tu retiens de la conférence ? Interviews réalisées et produites par Geotribu - http://geotribu.frhttps://video.osgeo.org/videos/embed/1a58a2d2-155e-4dc2-b830-f811988a0f54https://video.osgeo.org/w/iwxg2vBgh5WtsFECWuGFbFhttps://video.osgeo.org/lazy-static/thumbnails/aa4b8d50-afd0-463c-ad24-6e14670fde54.jpgODC-STAC_Caitlin_Adam_GeoscienceAustralia-20241216ODC-STAC_Caitlin_Adam_GeoscienceAustralia-20241216https://video.osgeo.org/videos/embed/8deeef35-3afc-433b-a031-310ef9822da7https://video.osgeo.org/w/eBSqPTaoZmB23axTtaFN3Shttps://video.osgeo.org/lazy-static/thumbnails/1a005f96-783f-4982-a6e5-f2307ac146e6.jpgFOSS4GE 2024 | Closing ceremonyConcluding the FOSS4GE 2024 conference. Some reflections on the past days, thank yous to sponsors and the people who have helped with the organization of the event. Open microphone for announcements of next FOSS4G events (but please contact us beforehand) https://talks.osgeo.org/foss4g-europe-2024/talk/UVHE9B/ Room: Destination Earth (Van46 ring) @ 05.07.2024 17:00:00 #foss4ge2024 #GeneralTrack #Plenaryhttps://video.osgeo.org/videos/embed/6e48e972-a489-4d5c-aa28-fb20cc6b13e6https://video.osgeo.org/w/3Dgjqxut8BRRnGxYQx4BJQhttps://video.osgeo.org/lazy-static/thumbnails/4b89216f-c766-4db8-bb94-ecab10f8d96c.jpgFOSS4GE 2024 | Spontaneous growth of the 'geocompx' FOSS4G communityIn 2016 two early-career researchers met and discussed the lack of open-access materials related to spatial data analysis with vector and raster geo data in R. A few months later, they started writing a book together which, from the first commit onwards, was done in the open. The book source code was publicly available at GitHub, updated regularly, and reproduced on every commit by continuous integration. Due to this approach, it initially attracted several contributors, one of whom became an author. Writing the book using many FOSS tools allowed us to contribute suggestions, leading to dozens of improvements upstream. The first version of Geocomputation with R (abbreviated to 'geocompr') was completed and published in early 2019. 'Geocompr', started as a two-person book project. However, it not only attracted many readers, but also enabled online discussion through online platforms, such as GitHub and social media. In the last few years, the book has had a few hundred thousand readers online, gained a few official and community translations, and has been used in many academic courses and research papers. We also started working on its second edition and its sibling project: Geocomputation with Python. It became clear that the 'geocompr' name was no longer appropriate for the more multilingual nature of the project, and we started using the 'geocompx' name. We hope it captures the essence of the project: eXchanging information about geocomputation, cross (X) pollination of ideas from one programming language to another, and the possibility of hosting additional content on geocomputation with (X) other languages. Currently, the main entry point for this project is the https://geocompx.org website. It contains links to other books and materials and also hosts a blog with posts related to geocomputation, which is also open to guest writers. The 'geocompx' project is also a Discord server with discussions about various FOSS4G topics, from tools and methods to app...https://video.osgeo.org/videos/embed/15663c94-87b1-4d53-ba84-22ca72c75088https://video.osgeo.org/w/7FbCTii17fs3Wp14kjAadYhttps://video.osgeo.org/lazy-static/thumbnails/7df37019-5425-479f-8464-6282cf3ef1fd.jpgFOSS4GE 2024 | Challenges for displaying STAC Items and Assets in the browserAt UP42 we are making extensive use of map visualizations of STAC Items and Assets, including vector files and very-high resolution imagery in our main React application. We will show our journey from simply displaying geometries on a using React Leaflet and HERE maps, to eventually adding high resolution previews and interactions. We will go through the main issues we had during this process and what we did to solve them, as well as presenting what we learned during this process. On this talk we will present how we handled displaying and interacting with GeoJson and GeoTIFF previews with the current open source tools. We will present some of our challenges like rendering COGs directly, handling different projections, authentication with Leaflet, performance, error handling, and integrating dynamic tiling services such as TiTiler. More information: https://up42.com/data-management Daniel Scarpim https://talks.osgeo.org/foss4g-europe-2024/talk/AYUVHZ/ Room: Omicum @ 05.07.2024 15:00:00 #foss4ge2024 #GeneralTrack #StateOfSoftwarehttps://video.osgeo.org/videos/embed/360f64c4-499c-4994-96ec-94f768e2f644https://video.osgeo.org/w/eJUzrZYEvBeLakCWiDVxcWhttps://video.osgeo.org/lazy-static/thumbnails/0e795109-bf3b-43f6-afc7-39ce1ef32227.jpgFOSS4GE 2024 | How to set up a QGIS plugin project and development environment in minutesCreating a new QGIS plugin and setting up a working development environment from scratch can be daunting, especially for beginners or occasional developers. In this talk, I present a templating tool that simplifies and streamlines the plugin development process. The tool is based on Cookiecutter, a well-known command-line utility that generates projects from templates. The template (https://github.com/GispoCoding/cookiecutter-qgis-plugin) we at Gispo developed: - is highly customizable and follows the best practices for QGIS plugin development - includes features such as testing, documentation, internationalization, packaging, continuous integration and development environment creation - allows anyone to quickly start a new plugin project in minutes with minimal effort and consistent structure I demonstrate how to use the tool, how to modify the template options, and how to publish the plugin to the QGIS plugin repository. I also share some tips and tricks for developing and maintaining QGIS plugins. This talk targets anyone who is interested in creating or improving QGIS plugins, regardless of their experience or expertise. Lauri Kajan https://talks.osgeo.org/foss4g-europe-2024/talk/7U9XSJ/ Room: Omicum @ 05.07.2024 14:30:00 #foss4ge2024 #GeneralTrack #StateOfSoftwarehttps://video.osgeo.org/videos/embed/6f447144-fd84-4196-a210-c225286547c8https://video.osgeo.org/w/onZa3GUXt3TxAWg6eGeaf6https://video.osgeo.org/lazy-static/thumbnails/f1e91d5d-b0d7-4a2c-922e-d08318a7f47a.jpgFOSS4GE 2024 | Using external dependencies in QGIS pluginsThis talk presents different methods to handle dependencies to external libraries in QGIS plugins. Compared to for example web development world there is no wide adoption of general-purpose QGIS libraries available nor a way to easily integrate such libraries into own plugin or library development. Also, some widely-used non-QGIS-specific libraries like pandas for data manipulation might be beneficial for QGIS plugins or libraries to use as well. Built-in QGIS features include declaring dependency plugins, but the usage must rely on either accessing the plugin instance and its API, importing code of the plugin package in a guarded way, or using only for example the processing providers installed by such dependency plugins. For example, sharing and using general purpose GUI components, simple functions etc. with an external, possibly pip-installable dependency library is not straightforward and has many obstacles. Some methods used include requesting dependency install manually from the user, using subprocess calls to install the dependencies automatically, shipping dependencies together with the plugin code and using import paths manipulation, or bundling the dependencies into the code and using replaced imports to point to the bundled library. Difficulties in some or all these approaches include possible version conflicts between different plugin requirements, version mismatches with the expected runtime and platform incompatibility. This talk compares these different methods pros and cons, possible use cases for each, effect on the development workflow, and shows available tools for helping to use some of these methods. Antero Komi https://talks.osgeo.org/foss4g-europe-2024/talk/UYEXWL/ Room: Omicum @ 05.07.2024 14:00:00 #foss4ge2024 #GeneralTrack #UseCasesApplicationshttps://video.osgeo.org/videos/embed/b53ae4b0-1656-45b0-8db2-8dd83c8c6bddhttps://video.osgeo.org/w/5HcFf9HQvQQe75N2pdZ47Nhttps://video.osgeo.org/lazy-static/thumbnails/ec325523-a736-45fb-ba54-3e4a9ce550c7.jpgFOSS4GE 2024 | State of Oskari for developersOskari is used world wide to provide web based map applications that are built on top of existing spatial data infrastructures. Oskari offers building blocks for creating and customizing your own geoportals and allows embedding maps to other sites that can be controlled with a simple API. In addition to showing data from spatial services, Oskari offers hooks for things like using your own search backend and fetching/presenting statistical data. This presentation will go through the improvements to existing functionalities and new features introduced in Oskari during the last year including: - Combining different types of user generated content - UI rewrite progress - Supporting mobile devices You can try some of the functionalities Oskari offers out-of-the-box on our sample application: https://demo.oskari.org. Sami Mäkinen https://talks.osgeo.org/foss4g-europe-2024/talk/XB7SF7/ Room: QFieldCloud (246) @ 05.07.2024 15:00:00 #foss4ge2024 #GeneralTrack #StateOfSoftwarehttps://video.osgeo.org/videos/embed/26253ec4-4d43-4667-9425-0ca267e1673ehttps://video.osgeo.org/w/8dM3R3S14kYnz8tHgcKqqRhttps://video.osgeo.org/lazy-static/thumbnails/dcb79461-f772-4daa-b8c9-89ae10186a82.jpgFOSS4GE 2024 | Finnish National Geoportal Paikkatietoikkuna turns 15 years!Finnish National Geoportal Paikkatietoikkuna was first launched in 2009 and is now the home of over 3000 open map layers from nearly 70 different data producers in Finland, and is used by 3 - 6 000 users every day. Its background is largely in the INSPIRE-directive, which expects the spatial data to be accessible, reusable and interoperable: the Geoportal functions as a national service for the data producers to demonstrate and display their open datasets to the public. Paikkatietoikkuna is regularly referred to in social media, news articles, blogs as well as teaching materials in education sector, as it has become well known in the society. Today, Paikkatietoikkuna is essential for thousands of professionals in variety of different fields, such as in forestry and environmental fields. These people need in their daily work an easy to use map applications with national or local datasets for viewing and overlaying map layers for comparison, for creating their own map data for simple analysis or for embedding a map on their website without any programming skills. Paikkatietoikkuna, soon after its birth, initiated what is now known as open source Oskari map framework (oskari.org), and today many other map applications are based on Oskari. In this presentation you will hear how Paikkatietoikkuna gained its central role within Finnish spatial data infrastructure today. Sini Pöytäniemi https://talks.osgeo.org/foss4g-europe-2024/talk/K3AYAE/ Room: QFieldCloud (246) @ 05.07.2024 14:30:00 #foss4ge2024 #GeneralTrack #UseCasesApplicationshttps://video.osgeo.org/videos/embed/3a78a888-6cb2-4a27-a8bd-945a19365a89https://video.osgeo.org/w/rcjXvWo7mJ2bBguT1N7Jnrhttps://video.osgeo.org/lazy-static/thumbnails/0d77e07f-db32-4887-b66f-327f8e73c367.jpgFOSS4GE 2024 | Your Geoportal F***ing SucksMany national and regional governments have in the past few decades created GeoPortals to meet their obligations to provide citizen access to their spatial data. This spatial data is collected, in many cases, at tax payer expense. Indeed the EU (2024) says: """ The publication of data is driven by the belief that it brings enormous benefits to citizens, businesses, and public administrations, while at the same time enabling stronger co-operation across Europe. Open data can bring benefits in various fields, such as health, food security, education, climate, intelligent transport systems, and smart cities - and is considered "an essential resource for economic growth, job creation and societal progress". """ But even now nearly a quarter century after the introduction of the first Open Geospatial Consortium (OGC) standards for interoperability there seems to be a wide spread failure to make use of OGC standards to provide access to the underlying data that is needed by citizens create economic growth. This paper will detail the author's experiences with attempting to acquire spatial data and their observations of relatively inexperienced students trying to navigate some examples of geoportals. The paper will then make some suggestions to help data providers serve data with the modern methods and formats that users actually want, using open source tools such as GeoServer. Ian Turton https://talks.osgeo.org/foss4g-europe-2024/talk/P78AK7/ Room: QFieldCloud (246) @ 05.07.2024 14:00:00 #foss4ge2024 #GeneralTrack #OpenDatahttps://video.osgeo.org/videos/embed/cc0954ab-a4f4-4277-a5d4-795494c8b453https://video.osgeo.org/w/x2XmXLk5foqPwLkAiQnFDAhttps://video.osgeo.org/lazy-static/thumbnails/83a023c9-5a15-4f42-81c2-a47b3fa26d8b.jpgFOSS4GE 2024 | Stadia x Stamen: A New Era for Stamen Map TilesThe renowned Stamen Map Tiles, after more than a decade of being used and loved by digital cartographers the world over, have received a facelift. Together, Stamen and Stadia Maps created all new vector versions of Toner and Terrain based on the modern mapping stack of open data and an open source toolbox of vector tiles and styles, while preserving backward compatibility for existing users. We will discuss the technical challenges to creating an affordable map tiling service at scale and provide some perspective on how OSM-based digital cartography has changed since these tilesets were originally created. Luke Seelenbinder https://talks.osgeo.org/foss4g-europe-2024/talk/LPVEZD/ Room: LAStools (327) @ 05.07.2024 15:00:00 #foss4ge2024 #GeneralTrack #BuildingABusinessWithFoss4Ghttps://video.osgeo.org/videos/embed/fb5128ef-afd2-41f0-b2b3-891c631ac0e8https://video.osgeo.org/w/u2JBYnC5kjxBa4MLe6vmy2https://video.osgeo.org/lazy-static/thumbnails/dd6a63b0-fb01-4e49-b82c-eedc9161707a.jpgFOSS4GE 2024 | Vector Tiles: Spatial Selection with PyQGISAs transmission operator (Austrian Power Grid) we need up to date information on parcels and land use during building projects. The Austrian data provider in this field (Federal Office of Metrology and Surveying - kataster.bev.gv.at) provides an open data vector tile cache with this information on a daily basis. The vector tile format is good for visualisation, but for the export of distinct multiple parcel-geometries, there is no out-of-box solution in QGIS so far. We present a methodology of downloading data from vector tiles based on a defined spatial selection with PyQGIS. Based on a geometry (e.g., a power line) we are able to select the parcels of interest. One challenge is the fragmented provision of data by vector tiles. Using GeoPandas we combine the tiles into distinct geometries which can be postprocessed. The result are precise parcels including attribute data and metadata. The challenge is to reduce the amount of data in the spatial selection process to find the parcels of interest. Helene Steiner Lukas Nebel https://talks.osgeo.org/foss4g-europe-2024/talk/NHBPHL/ Room: LAStools (327) @ 05.07.2024 14:30:00 #foss4ge2024 #GeneralTrack #UseCasesApplicationshttps://video.osgeo.org/videos/embed/e2fde452-90b4-468f-93b0-5c89e3587b89https://video.osgeo.org/w/kZEkuZous369Yt4uQkERkahttps://video.osgeo.org/lazy-static/thumbnails/8082f8ee-802e-4872-9cc3-18fdd5df7e0a.jpgFOSS4GE 2024 | Empowering Rapid Disaster Response with OpenAerialMapIn the face of disasters, timely access to accurate geospatial data is critical for effective response efforts. This presentation explores the pivotal role of OpenAerialMap (OAM) in enhancing open maps and facilitating swift disaster response. We delve into the evolution of OAM, from its inception to the latest advancements, highlighting its use as a comprehensive repository of openly licensed satellite and UAV imagery. The session will showcase OAM Mosaic Map's features. Join us to discover how OAM, through collaboration with the Humanitarian OpenStreetMap Team, is shaping the future of open maps and geospatial response in times of crisis. Milvari Alieva https://talks.osgeo.org/foss4g-europe-2024/talk/KBHC87/ Room: LAStools (327) @ 05.07.2024 14:00:00 #foss4ge2024 #GeneralTrack #UseCasesApplicationshttps://video.osgeo.org/videos/embed/a1eaa7ab-1dd6-4e9b-be17-2c55fa8eb1dbhttps://video.osgeo.org/w/fbCfB6zNyohqke8FoKCWcShttps://video.osgeo.org/lazy-static/thumbnails/11a88d65-9870-46c9-a487-208c2c0027d0.jpgFOSS4GE 2024 | Using Nix to build and distribute a geospatial softwareNix is used to build the largest collection of software packages on a planet, including geospatial software maintained by Nix Geospatial Team. It is multi platform, runs on any Linux and even on a Mac. In addition, Nix provides full control of a dependency graph, can build reproducible, per-project isolated environments, container images, run services and provide many other features not found anywhere else. I will demonstrate some very unique features of Nix, which can make a developer's or a user's life so much nicer and will present the arguments why we should seriously consider using this technology for a FOSS4G software. This talk is follow up on my previous FOSS4G talk about features and potential benefits of using Nix technology stack for geospatial use cases. Ivan Minčík - @imincik https://talks.osgeo.org/foss4g-europe-2024/talk/AFTRTG/ Room: GEOCAT (301) @ 05.07.2024 14:30:00 #foss4ge2024 #GeneralTrack #StateOfSoftwarehttps://video.osgeo.org/videos/embed/72dbb84c-365a-4701-8bce-aab900af9b98https://video.osgeo.org/w/hdqjrPrSfsf43TdYRQdSCbhttps://video.osgeo.org/lazy-static/thumbnails/f74fb90f-fff8-491d-93f7-a8dbd1e5ed88.jpgFOSS4GE 2024 | Geocint: Open Source Geospatial Data Processing PipelineFor data-driven organizations, it is critical to have reliable ETL processes. As an open-source tool, Geocint can help organizations and individuals who work with geospatial data and need to process it efficiently. Geocint is an ETL pipeline for processing geospatial data. At Kontur we have been using Geocint internally for a long time - to build the Kontur Population and Kontur Boundaries datasets. We also used it to prepare data for the Disaster Ninja app before deciding to make it reusable by other organizations in the GIS field. We built the Geocint pipeline around PostgreSQL, PostGIS, and h3-pg (PostgreSQL bindings for H3). Thus, Geocint combines the powerful data processing features of PostgreSQL with the efficient geometric operations from PostGIS and the key benefits of using the H3 grid system, such as high-performance lookups and a compact storing format. Andrew Valasiuk https://talks.osgeo.org/foss4g-europe-2024/talk/HSH87N/ Room: GEOCAT (301) @ 05.07.2024 14:00:00 #foss4ge2024 #GeneralTrack #StateOfSoftwarehttps://video.osgeo.org/videos/embed/834e215c-1ef0-464e-801f-4d7d0c68e8bahttps://video.osgeo.org/w/oHCCkerfjaMP3kViLJWe5fhttps://video.osgeo.org/lazy-static/thumbnails/95a83b06-f6de-4468-a99d-ff0c7732c930.jpgFOSS4GE 2024 | Improving interoperability between OpenDRIVE HD map data and GIS using GDALOur new vector driver for GDAL offers the possibility to convert highly detailed HD map data from the complex road description format ASAM OpenDRIVE into common geodata formats such as GeoPackage, GeoJSON, Shapefile, KML or spatial databases. Finally, this makes OpenDRIVE easily usable in established GIS applications. Within the domains of automotive and transportation, highly detailed road network datasets (HD maps) emerged as a core component for development, testing, function validation and also for later production use. Applications such as autonomous driving, driving simulation and traffic simulation often rely on special engineering data formats, of which ASAM OpenDRIVE [1] evolved as an open industry standard. This domain-specific data model bundles mathematical, continuous track geometry modelling with all necessary topological links and semantic information from traffic-regulating infrastructure (signs and traffic lights). OpenDRIVE's complexity makes data acquisition a sophisticated task, often financed by the automotive industry and conducted by third-party mobile mapping providers. Recently, governmental institutions have also shown increased interest in such data, particularly in the context of urban transport planning and road infrastructure maintenance. However, even though such OpenDRIVE data often covers the institutions' own urban space, it is often "inaccessible" because tool support for OpenDRIVE is mostly limited to expensive commercial software and - even worse - lacks integration into popular Geographic Information Systems (GIS). Our free software contribution [2] extends the common Geospatial Data Abstraction Library (GDAL) [3] and transforms OpenDRIVE road elements into OGC Simple Features [4] which can be loaded and processed ad hoc by all commercial and free GIS tools! This way, OpenDRIVE data can directly be loaded in QGIS, for example, which involves less overhead than having to intermediately convert it to CityGML using r:trån [5] ...https://video.osgeo.org/videos/embed/b7f91dee-209a-465d-a9a3-ae26f894be1ahttps://video.osgeo.org/w/px6DXE5sBKjNBKSNtK2Zpwhttps://video.osgeo.org/lazy-static/thumbnails/7a4f2bbe-68f4-48ae-a714-6fc35fdbd64b.jpgFOSS4GE 2024 | Publishing INSPIRE and other rich data models in GeoServer made easy with Smart ...This presentation will cover the support GeoServer provides to publish rich data models (complex features with nested properties and multiple-cardinality relationships), through OGC services and OGC API - Features, focusing on the recent Smart Data Loader and Features Templating extensions, covering in detail ongoing and planned work on GeoServer. As far as the INSPIRE scenario is concerned, GeoServer has extensive support for implementing view and download services thanks to its core capabilities but also to a number of free and open-source extensions; undoubtedly the most well-known (and dreaded) extension is App-Schema, which can be used to publish complex data models and implement sophisticated download services for vector data. We will also provide an overview of how those extensions are serving as a foundation for new approaches to publishing rich data models: publishing them directly from MongoDB, embracing the NoSQL nature of it, and supporting new output formats like JSON-LD which allows us to embed well-known semantics in our data. Real-world use cases from the organizations that have selected GeoServer and GeoSolutions to support their use cases will be introduced to provide the attendees with references and lessons learned that could put them on the right path when adopting GeoServer. Andrea Aime Nuno Oliveira https://talks.osgeo.org/foss4g-europe-2024/talk/CD9QVE/ Room: Destination Earth (Van46 ring) @ 05.07.2024 14:30:00 #foss4ge2024 #GeneralTrack #OpenStandardsAndInteroperabilityForGeospatialhttps://video.osgeo.org/videos/embed/be99bb12-0e32-4b1d-b5b7-b0d6c0a8e390https://video.osgeo.org/w/13BtR54LbDbpJYP8qHNaEdhttps://video.osgeo.org/lazy-static/thumbnails/a83c2aef-3ea2-457c-af6c-4da07070550d.jpgFOSS4GE 2024 | State of STACThe SpatioTemporal Asset Catalog (STAC) specifications are a flexible language for describing geospatial information across domains and for a variety of use cases. This talk will present the current state of the specifications, which includes the core STAC specification and the API specification built on top of OGC APIs. The core specification is planned to release version 1.1 shortly after FOSS4G Europe and this talk is meant to guide you through the changes. This presentation also digs into additions to STAC extensions and the latest community developments. We survey the updates to the open-source STAC ecosystem, which includes software written in Python, JavaScript, and more. Matthias Mohr https://talks.osgeo.org/foss4g-europe-2024/talk/YQJFVK/ Room: Destination Earth (Van46 ring) @ 05.07.2024 14:00:00 #foss4ge2024 #GeneralTrack #OpenStandardsAndInteroperabilityForGeospatialhttps://video.osgeo.org/videos/embed/005d5a59-b002-44f7-800c-af7cd09d21echttps://video.osgeo.org/w/9C6QEVgDbmtg5KPwcMXTHfhttps://video.osgeo.org/lazy-static/thumbnails/2bf78427-9a0a-4e6e-a88c-e3a702f7eece.jpgFOSS4GE 2024 | QGIS as a Tool in Planning Optical Fiber NetworksPlanning an optical fiber network is a complex process. Early draft versions of the networks are usually used to give a rough cost estimation. As this process is already very work intensive, things are getting especially serious when construction is scheduled to start. Permission documents, digging permits and all kind of forms need to be submitted to local authorities. As in many engineering projects, time is key. Whatever helps to simplify and automate work steps, is a big game changer. Especially the creation of permission documents and maps can be a very time consuming process. To create such documents, we have turned to QGIS and after an intensive (always ongoing) process of customization, we are now able to produce dozens of documents with just a few clicks. In our talk we will show a real use case for real projects which are currently in the execution phase in Saxony/Germany. Possible was this development by a strong cooperation of Estonian Fiber OÜ (EST), aastrix GmbH (GER) and Yellow Arrow OÜ (EST). Chris Nichterlein https://talks.osgeo.org/foss4g-europe-2024/talk/QMDLXN/ Room: Omicum @ 05.07.2024 12:00:00 #foss4ge2024 #GeneralTrack #UseCasesApplicationshttps://video.osgeo.org/videos/embed/45d37bc7-2113-4f10-9f27-662618b9efcchttps://video.osgeo.org/w/gZMs6z77BUS4qisXttSFGohttps://video.osgeo.org/lazy-static/thumbnails/c6c8a2d9-f351-4333-84f3-689c8acbbeb4.jpgFOSS4GE 2024 | DuckDB with GeodataDuckDB has established itself in the data science community as a lightweight tool for data analysis of all kinds. It now has an official extension that can work with geospatial data. In this talk we will introduce the basic features. DuckDB can read data from various sources, such as files (CSV, JSON, ...), the Internet or other databases. The imported data can be combined and processed using SQL. The "spatial" extension of DuckDB now also supports spatial data types such as points, lines or polygons. In addition, the GEOS library integrated in the background provides geographic analysis functions such as area calculation, intersection or buffer calculation. GDAL is also integrated in the background and allows reading and writing of many other formats from the geographic world. Jakob Miksch https://talks.osgeo.org/foss4g-europe-2024/talk/KNBMGH/ Room: Omicum @ 05.07.2024 11:30:00 #foss4ge2024 #GeneralTrack #StateOfSoftwarehttps://video.osgeo.org/videos/embed/818a7bfb-728e-4918-aa00-f509a693d3c2https://video.osgeo.org/w/kuP2bX1bTBHvqqY3uhcAtNhttps://video.osgeo.org/lazy-static/thumbnails/7d4372ca-787b-4cb2-883e-aff9fc0a0491.jpgFOSS4GE 2024 | Unlocking Uralic Heritage and Diversity: URHIA's Open Data Journey in Spatial ...The University of Turku's interdisciplinary collaboration spanning geographers, biologists, linguists, and archaeologists has yielded a rich tradition of studying language evolution and human diversity. Over 15 years, our efforts have culminated in the creation of the Uralic Historical Atlas (URHIA, meaning "brave" in Finnish dialect), a dynamic spatial platform that provides open access to spatial databases focusing on human diversity in Finland and Northern Eurasia. This platform emphasizes the commitment of the University of Turku to making data accessible that contributes to transparent science and effective collaboration for a wider range of insights and perspective URHIA, built on open-source spatial infrastructure GeoNode by GeoSolutions and integrated into UTU's spatial infrastructure (https://geospatial.utu.fi/resources/utu-geospatial-data-service/), goes beyond being a conventional data repository. It is designed as an interactive spatial platform (https://sites.utu.fi/urhia/) for researchers and lay audiences. Currently hosting the Uralic Language Atlas and the Archaeological Artefact Atlas of Finland, URHIA transforms into a live data showroom, presenting thematic spatial datasets through interactive online maps. In addition to these achievements, the impact of other similar initiatives that use UTU's spatial infrastructure is noticeable worldwide, especially on those that aim to improve the skill of university students which provide more employment opportunities, build the capacity of university staff, promote open access to digital e-assets and improving student digital skills and competences. This presentation delves into the development of the framework and sharing of groundbreaking new open data through an online spatial data platform, emphasizing platform development and data-specific challenges. The presentation showcases a) The Uralic Language Atlas (distribution of Uralic language speaker areas), an initiative digitized by the interdisciplin...https://video.osgeo.org/videos/embed/9de37000-a7bb-4ca7-b9dc-9fb3ca55dfcchttps://video.osgeo.org/w/gkoitryKZas7jbaeF77H5zhttps://video.osgeo.org/lazy-static/thumbnails/36a9f8c8-3b6d-4750-a607-36e7e947bc5c.jpgFOSS4GE 2024 | Leave no one behind - UNDP GeoHub. Spatial data visualization and analytics for ...United Nations Development Programme (UNDP) is a United Nations agency tasked with helping countries eliminate poverty and achieve sustainable economic growth and human development. Recent advances in technology and information management have resulted in large quantities of data being available to support improved data driven decision making across the organization. In this context, UNDP has developed a corporate data strategy to accelerate its transformation into a data-driven organization. Geo-spatial data is included in this strategy and plays an important role in the organization. However, the large scale adoption and integration of geo-spatial data was obstructed in the past by issues related to data accessibility (silos located in various country offices), interoperability as well as sub-optimal hard and soft infrastructure or know-how. All this issues have been addressed recently, when UNDP SGD integration team started developing GeoHub to provide geospatial data visualization and analytical tools to UNDP staff and policymakers. UNDP GeoHub (https://geohub.data.undp.org/) is a repository of a wide array of data sets of the most recent time span available at your fingertips! It is a centralized ecosystem of geospatial data and services to support development work. It allows non-geospatial users to upload, search and visualize datasets, compute dynamic statistics and download the data. In addition, GeoHub provides a feature to create and share their maps with the community easily. Satellite imagery, spatial-temporal model generated data, as well as regular spatial datasets, can be streamed into various analytical tools to create new insights leveraged by policymakers and regular users. Geohub ecosystem consists of sveltekit & maplibre based frontend web applications and various FOSS4G software on the backend side. PostgreSQL/PostGIS, titiler, pg_tileserv are deployed in Azure Kubernetes (AKS) to provide advanced visualization and analysis for users. All ...https://video.osgeo.org/videos/embed/7c2df486-05c2-41e0-961a-d589ac75d83dhttps://video.osgeo.org/w/iedz1cX7b6HvUWKqvNx2TChttps://video.osgeo.org/lazy-static/thumbnails/be77725c-3917-48ad-9f05-fe23be5b45fe.jpgFOSS4GE 2024 | Disaster Management GIS in Action: Leveraging Open-Source Software for Rapid ResponseIn the face of natural disasters, response time is critical. Mapping and geospatial insights play a pivotal role in understanding the impact and coordinating efforts. This presentation will delve into the capabilities and benefits of open-source disaster management software, focusing on Disaster Ninja, an innovative tool developed by Kontur. This critical event management solution, now open-source, enhances situational awareness by visualizing mapping gaps and facilitating connections with local mappers for ground truth verification. Disaster Ninja streamlines the preparation of mapping tasks, enabling emergency cartographers to work efficiently, often reducing task preparation from hours to minutes. Our talk will explore how open-source tools like Disaster Ninja can empower disaster response efforts by providing actionable insights, demonstrating the tool's application in real-world scenarios, and discussing its development in collaboration with the Humanitarian OpenStreetMap Team (HOT). We aim to foster the development of FOSS4G by offering our experiences and the capabilities of Disaster Ninja, to enhance collaboration, innovation, and the practical application of these resources during disaster events. Polina Krukovich Vasili Bondar https://talks.osgeo.org/foss4g-europe-2024/talk/EKTDA9/ Room: QFieldCloud (246) @ 05.07.2024 12:00:00 #foss4ge2024 #GeneralTrack #StateOfSoftwarehttps://video.osgeo.org/videos/embed/8b83c5ac-c992-4339-85b7-92cc0ffc132ehttps://video.osgeo.org/w/5Mvc5KRWoUendvGzAvXiuohttps://video.osgeo.org/lazy-static/thumbnails/a982a603-2c6e-4843-82af-018cb3068875.jpgFOSS4GE 2024 | Bridging Worlds: Integration of Wikidata and OpenStreetMapDiscover the synergy between Wikidata and OpenStreetMap, two monumental open data repositories. This talk unveils innovative web-based tools facilitating the linking of these platforms, enhancing the richness and accuracy of geospatial data. OpenStreetMap's editors face a unique challenge: accurately mapping the vast tapestry of global locations. This presentation introduces Web-based solutions streamlining this process. Attendees will learn how these tools empower users to effortlessly identify and correlate Wikidata entries with OpenStreetMap locations. This integration, however, navigates complex waters of differing licenses, sparking lively debates within the community. The talk delves into these intricacies, exploring the ethical and legal considerations of cross-platform data sharing. Expect an engaging walk-through of the tool's latest iteration, insights into the matching algorithm, and an honest reflection on community responses, including the contentious aspects. The session concludes with a call to action, inviting attendees to contribute and further this pioneering work. Edward Betts https://talks.osgeo.org/foss4g-europe-2024/talk/3MP9XP/ Room: QFieldCloud (246) @ 05.07.2024 11:00:00 #foss4ge2024 #GeneralTrack #OpenDatahttps://video.osgeo.org/videos/embed/26bf0390-9dd5-45a5-b561-1fcd43a461bahttps://video.osgeo.org/w/bfeMeAJGoXSU4Gqe6dgr8Phttps://video.osgeo.org/lazy-static/thumbnails/17328bda-25ca-4b65-bfcf-7ca174ea7460.jpgFOSS4GE 2024 | Crowdmapping That WorksMost geographers look to OpenStreetMap for the data. It is indeed unique, with many attempts at duplicating the idea failed. At its core is crowdmapping: making regular people improve the map. Not having the data, geographers look into that too. Tempting idea, isn't it - engage a crowd into collecting data you need, not spending a cent on teaching and salaries. Have them walk around and collect building entrances for you! Why not make cyclists review cycling lanes? Everybody has phones, let them measure signal quality all over Estonia. We don't have yellow pages, but sure people could help building a POI dataset? At least pointing things on a map should be easy and draw in a crowd? We have seen many businesses toying with this, and many not-for-profit projects. Most failing. The Humanitarian OpenStreetMap Team still unmatched. Why does that happen? How do we ensure the data collected can be trusted? How do we get people to stay with us, and not leave after a few clicks? In this talk we'll look at a few past crowdmapping projects, learn what went well and what didn't, and derive a few pointers at how to get the data we need out of thin air (and people we don't know). Ilya Zverev https://talks.osgeo.org/foss4g-europe-2024/talk/NW9KLL/ Room: QFieldCloud (246) @ 05.07.2024 10:30:00 #foss4ge2024 #GeneralTrack #UseCasesApplicationshttps://video.osgeo.org/videos/embed/52f84aa2-e068-42a3-a4cf-0ba1ab3eeec1https://video.osgeo.org/w/xznwDb36eyZT9Tnzh1NG35https://video.osgeo.org/lazy-static/thumbnails/f4bf6e13-e2eb-4fe4-be22-c60e3972ebfb.jpgFOSS4GE 2024 | SATILADU - AN OPEN WEB MAP FOR ESTONIAN LAND USE AND LAND COVER DATAWe live in the era of growing demands for natural resources due to the growth of population on the global scale. Therefore it becomes more urgent to plan more responsibly the land use at the global scale as well as in the European level. In the path towards public agreement on decreasing human induced environment stress Estonia among other countries has joined with the Paris Agreement as well as with the "Fit For 55". For serving public needs for land use and land cover (LULC) data the open web map Satiladu (https://satiladu.maaamet.ee/en) is fully operational on its 4th year. The application was released by the Estonian Land Board on 17th of February 2021 initially for providing as easy as possible access to the Copernicus Sentinel data. During the active use period by different stakeholders Satiladu has grown to a convenient platform for providing user friendly access to other important LULC data as well - the data produced by Estonian Land Board, Estonian Environment Agency and Estonian Agriculture Registers and Information Bureau. By sector Satiladu has found its importance in: (1) public sector institutions (incl. offices related with environment and real estate planning); (2) open communities related to environmental planning activities; (3) educational and research institutions. As a major future perspective, the platform is designated to address more citizen science needs. As being an easy demonstrator for use cases of LULC data covering Estonian area, the vision is to apply the best practices and more settled algorithms at the European level as well. Martin Menert https://talks.osgeo.org/foss4g-europe-2024/talk/VTUWHZ/ Room: LAStools (327) @ 05.07.2024 12:25:00 #foss4ge2024 #GeneralTrack #UseCasesApplicationshttps://video.osgeo.org/videos/embed/ffb41c32-d744-4a93-9eaf-d2f5446a1d08https://video.osgeo.org/w/13X5eBQzrytqPnLpNRYXK3https://video.osgeo.org/lazy-static/thumbnails/5da4122e-e7ab-4c72-aee0-e43d4b23e050.jpgFOSS4GE 2024 | Paituli STAC - experiences of setting up and using own STAC catalogIn this presentation we discuss our experiences from setting up Paituli STAC, which contains open Finnish raster datasets. We did not do any software development, but decided to use GeoServer with STAC extension. Own code was only written for populating the PostGIS database with information about ~100 collections and ~250 000 items. Paituli STAC catalog is mainly targeted for data analysis use cases, but can be used also from web applications. We have also prepared public example scripts for using Paituli STAC with Python and R. We will also show the results of some scaling tests of using data from STAC on a supercomputer with Dask and xarray. More information: https://paituli.csc.fi/stac.html Külli Ek https://talks.osgeo.org/foss4g-europe-2024/talk/FQN9J7/ Room: LAStools (327) @ 05.07.2024 12:20:00 #foss4ge2024 #GeneralTrack #OpenStandardsAndInteroperabilityForGeospatialhttps://video.osgeo.org/videos/embed/00696d70-058b-4339-a173-f93e4b4528cchttps://video.osgeo.org/w/oDUvr8739fhs5znQx9my2ohttps://video.osgeo.org/lazy-static/thumbnails/87e987cb-52b3-4915-85c9-5ece65ad2ad8.jpgFOSS4GE 2024 | Cloud-Native Asset Model with STACSTAC is a well-known and acknowledged spatiotemporal metadata standard within the community. There are many applications with open-source data; however, there are few adoptions by premium satellite imagery providers. At UP42, we adopted STAC as the core metadata system within our applications that defines how we store data. Last year, we presented how we designed a standard data management system with STAC: https://www.youtube.com/watch?v=WVE5VZzoOqM&t=1s As of last year's talk, we developed another catchy concept to standardize data access and processing. We designed a Cloud-Native Asset Model combining existing concepts such as STAC and COG, where we transform all files delivered by providers into a somewhat standard-ish format using GDAL extensively. We want to continue updating the community about our experience and share the takeaways. More information: - https://up42.com/data-management - https://up42.com/blog/introducing-a-cloud-native-asset-model Batuhan Kavlak https://talks.osgeo.org/foss4g-europe-2024/talk/NSPYGB/ Room: LAStools (327) @ 05.07.2024 12:15:00 #foss4ge2024 #GeneralTrack #UseCasesApplicationshttps://video.osgeo.org/videos/embed/b773edcb-8442-4d68-bb3c-343791817050https://video.osgeo.org/w/45ZM1rXvx6EEBmvejG71Gwhttps://video.osgeo.org/lazy-static/thumbnails/05818a5d-d5e9-41ab-90a8-eb0b1444b639.jpgFOSS4GE 2024 | ol-stac: STAC and OpenLayers combinedOL STAC makes it easy to put STAC resources on a dynamic OpenLayers map. It can display geometries, GeoTIFF files, web map layers and more in an "automagical" way. It is completely free, Open Source JavaScript, released under the Apache 2.0 license. This talk introduces the project and shows some examples how to simply visualize STAC entities on maps. Matthias Mohr https://talks.osgeo.org/foss4g-europe-2024/talk/3V7LED/ Room: LAStools (327) @ 05.07.2024 12:10:00 #foss4ge2024 #GeneralTrack #StateOfSoftwarehttps://video.osgeo.org/videos/embed/18fdff2d-1baf-4ef9-8084-0b5872f2f19ehttps://video.osgeo.org/w/ocyKELV3HV4DJGh8cB481ohttps://video.osgeo.org/lazy-static/thumbnails/8f4fe915-ea86-45e0-9421-616efd52caf4.jpgFOSS4GE 2024 | OpenLayers and VueThere are many ways to include an OpenLayers map into a Vue web application. This presentation will explore a few techniques such as vue3-openlayers, vue-ol-comp, and Wegue. The primary emphasis is on how the state of the OpenLayers map and its layers can be reactively accessed across all components of the web application. Jakob Miksch https://talks.osgeo.org/foss4g-europe-2024/talk/ZRAMQR/ Room: LAStools (327) @ 05.07.2024 12:05:00 #foss4ge2024 #GeneralTrack #UseCasesApplicationshttps://video.osgeo.org/videos/embed/b3c66aab-de4e-4547-8523-514491493d5ahttps://video.osgeo.org/w/7FSqXQae8qkJwg1jYEaFyUhttps://video.osgeo.org/lazy-static/thumbnails/478f8d38-0ab6-4bf4-9eee-14d46e851040.jpgFOSS4GE 2024 | Enhance your MapServer Workflows with mappyfilemappyfile became an OSGeo Community project in 2023. This talk gives an overview of the project, new plugins, and how it can help you improve your MapServer development and deployments. Seth Girvin https://talks.osgeo.org/foss4g-europe-2024/talk/GRKMVR/ Room: LAStools (327) @ 05.07.2024 12:00:00 #foss4ge2024 #GeneralTrack #StateOfSoftwarehttps://video.osgeo.org/videos/embed/3627eaf6-5d37-4a77-bd9c-cbb570c22a38https://video.osgeo.org/w/8JpArJ3oALxjywm1QcGENwhttps://video.osgeo.org/lazy-static/thumbnails/6e216e5c-37e1-4c32-ba54-6d5498f5efc3.jpgFOSS4GE 2024 | State of GeoNodeThis presentation will introduce the attendees to those which are GeoNode's current capabilities and to some practical use cases of particular interest in order to also highlight the possibility of customization and integration. We will provide a summary of new features added to GeoNode in the last release together with a glimpse of what we have planned for next year and beyond, straight from the core developers. Giovanni Allegri Emanuele Tajariol https://talks.osgeo.org/foss4g-europe-2024/talk/AWQLHH/ Room: LAStools (327) @ 05.07.2024 11:30:00 #foss4ge2024 #GeneralTrack #StateOfSoftwarehttps://video.osgeo.org/videos/embed/3e9bbfca-dacc-4582-a069-a7d48575e1d2https://video.osgeo.org/w/q6DggmktHgsk4oNb4m2yZEhttps://video.osgeo.org/lazy-static/thumbnails/392566b4-c9f8-4971-8a37-85992d76ce30.jpgFOSS4GE 2024 | State of deegree: A mature server-side software for spatial data infrastructuresThe OSGeo project deegree is open source software for spatial data infrastructures (SDI) and the geospatial web which mainly focuses on the server-side. It implements standards of the Open Geospatial Consortium (OGC) and the ISO Technical Committee 211. The project provides 9 official Reference Implementations of OGC Standards such as GML, WFS, WMS, and OGC API - Features. This talk will give an overview of the latest stable release of deegree. It will highlight the recent developments of version 3.6 which provides support of Java 17 and Tomcat 10. Also, the deegree implementation of the OGC API - Features standard will be presented and how it can be used with existing deegree configuration. Finally, the future directions of the project will be highlighted and what developments are currently planned. Dirk Stenger https://talks.osgeo.org/foss4g-europe-2024/talk/N9ZHES/ Room: LAStools (327) @ 05.07.2024 11:00:00 #foss4ge2024 #GeneralTrack #StateOfSoftwarehttps://video.osgeo.org/videos/embed/c32502cd-24e0-402d-9b35-1b60f5694358https://video.osgeo.org/w/7DiR33QYahyTRDHneUdzdChttps://video.osgeo.org/lazy-static/thumbnails/941ed3cd-2ab6-48e6-8b43-52e3f27a5287.jpgFOSS4GE 2024 | State of Oskari (for end-users)Oskari is a beautiful open source map framework which is based on the idea of creating map applications utilizing distributed Spatial Data Infrastructures, i.e. standardized map APIs such as WMS and OGC API Features. Publishing customized maps with Oskari and embedding them on a website is easy. Using Oskari as an administrator or an end-user doesn't require any programming skills. Oskari is used by dozens of different organisations, mainly in the public sector in Finland, to create hundreds of web map applications. Development and improvement of Oskari is continuous. Some of the new features include improvements in mobile use, as well as new feel and look in map publishing, thematic statistical maps and other smaller improvements. In addition, the website for Oskari community (oskari.org) has been completely renewed. And last but not least, the Oskari logo has received a fresh new design - we are happy to introduce you to the new Oskari Otter! In this presentation we will share with you practical examples of how to use Oskari. Our target audience is the current or future administrators and end users of Oskari-instances. Whether you are new to Oskari or know it from before, welcome to listen and discuss how you could get the best out of Oskari. Learn more from our new website oskari.org. Sini Pöytäniemi https://talks.osgeo.org/foss4g-europe-2024/talk/MCY7UB/ Room: LAStools (327) @ 05.07.2024 10:30:00 #foss4ge2024 #GeneralTrack #StateOfSoftwarehttps://video.osgeo.org/videos/embed/35cc595e-07dc-4d98-b6d4-90650dddab80https://video.osgeo.org/w/jxsd81iqhG4fALytnW1gavhttps://video.osgeo.org/lazy-static/thumbnails/440951e2-004b-46dd-931f-c795f08048c9.jpgFOSS4GE 2024 | Managing airport data with Open Source SoftwareAirport is a very demanding environment to build, maintain and operate. Busy airports are operated 24/7 every day. Safety and security of the passengers, crew and aircrafts are crucial for airport operators. Almost all activities in airports are also regulated by international and national officials. Nowadays the importance of geospatial data is growing for airport operators to efficiently manage airports inside and outside. In this presentation, we will show how FOSS4G software is used today to manage geospatial airport data and what are near-future challenges. First impression of smooth air travelling will start with when a passenger arrives at the airport: how to arrive with public transport or where I can park my car? Before entering the aircraft, passengers like to easily check-in, pass security checks and then use various services, like restaurants, shopping, restrooms and other services. Airport outdoor and indoor maps are key tools for passengers to travel from outside the airport to the gate of the aircraft. We will show how to maintain a PostGIS database with QGIS, how to share necessary information with Geoserver and how maps are delivered to passengers to different devices. Airport operators are mandated to collect, maintain and deliver aeronautical data of the airport. Aeronautical data is a key part of the creation of aeronautical information products which include both digital data sets and a standardised presentation in paper and electronic media. We will show how airport operator will collect and maintain aeronautical data in PostGIS database with QGIS. Airports are constantly developing and airport data management is under constant development. New regulations are coming and airport operators need to manage their operations cost effectively. We will discuss possible future development projects, like Foreign Object Debris (FOD), aerodrome mapping database (AMDB) and Obstacle management. Pekka Sarkola https://talks.osgeo.org/foss4g-europe-...https://video.osgeo.org/videos/embed/9628b461-1f34-46d1-89c4-ebc218ef5783https://video.osgeo.org/w/3kYPXNkxwR6CQeiDXk2KMxhttps://video.osgeo.org/lazy-static/thumbnails/00b2b66d-3a34-4a5c-ba90-f0916bf3f15e.jpgFOSS4GE 2024 | Use of FOSS4G Technologies in the Management of Railway Infrastructure DataRailways has always been looked at as the best public transport option since its invention. Even a single freight railway trip along with all the surrounding railway environment produces huge amount of data like the routing data, train schedules, on-board sensor data, wayside field unit data, etc. Such data are normally temporally and spatially referenced. This data helps in correct routing of trains, maintaining and monitoring the condition of the infrastructure, to expand the existing infrastructure and many more purposes. The use of free and open source geospatial software is greatly helping us with the management and processing of these datasets. With digitalization and rise of Internet of Things (IoT) that is based on a sensor ecosystem, we are looking at data that is generated at very high rate and is crucial for analysis both in short and long terms. The background digital infrastructure that handles such data should be state-of-the-art, fault-tolerant, scalable and easy-to-operate. This talk explains how we use FOSS4G technologies to build our digital infrastructure platform. We at Institute of Transportation Systems (TS) of the German Aerospace Center (DLR) started with this idea in mind and developed an infrastructure platform called Transportation Infrastructure Data Platform (TRIDAP). It is provisionally operational and is being further developed . DLR-TS conducts research into technologies for the intermodal, connected and automated transport of the future on road and rail. Research into new systems in rail and road transport domain requires digital twins. The digital twin structure helps to draw a holistic picture of the infrastructure of road and rail in connection with the vehicles, people and goods moving within the infrastructure. This is realized using distributed system architectures and artificial-intelligence methods. The TRIDAP platform is developed using various FOSS4G technologies. This platform is capable of making the data available to...https://video.osgeo.org/videos/embed/12fc6e06-c9a7-4d76-bf95-a9d5865565d5https://video.osgeo.org/w/eKnf6M7kyFB7KwqvXsMnSWhttps://video.osgeo.org/lazy-static/thumbnails/7e36e964-d9d5-440e-8c2e-92ea1bd8fb98.jpgFOSS4GE 2024 | Routing for Golf-Carts and other Low-Speed Vehicles using ValhallaFrom Bolt scooters to golf carts, the future of short distance travel is full of interesting surprises! In this talk, we'll discuss how the Valhalla routing engine can be used for low-speed vehicle routing. As a motivating example, we'll discuss a real problem faced by two municipal governments in the US who needed to offer safe routing for golf carts, how this led to the development of a low-speed vehicle profile for Valhalla, and the challenges we faced along the way. Luke Seelenbinder https://talks.osgeo.org/foss4g-europe-2024/talk/QBSFRX/ Room: GEOCAT (301) @ 05.07.2024 11:00:00 #foss4ge2024 #GeneralTrack #StateOfSoftwarehttps://video.osgeo.org/videos/embed/6f54e04f-85e7-4b2f-9174-5a7321775ec6https://video.osgeo.org/w/15viaj3UeSVrQr8NkN8wTLhttps://video.osgeo.org/lazy-static/thumbnails/a318133f-818b-4bb2-9b91-97f61d39b19e.jpgFOSS4GE 2024 | Tartu: Pioneering the Future of Self-Driving Technology with Open Source and ...Self-driving vehicles promise to revolutionize transportation, making it safer and more affordable. While driverless taxis are a reality in San Francisco, their global expansion presents significant challenges. Tartu, Estonia, is rising to meet these challenges, aiming to become Europe's premier testing ground for autonomous vehicles. This ambitious project is not without its hurdles, encompassing a range of legal and technological complexities. Crucially, open-source software and open data are at the forefront of overcoming these challenges. Estonia's unique position makes Tartu an ideal candidate for establishing an international self-driving vehicle testing center. The country offers the opportunity to test in diverse seasonal conditions, a feature absent in regions like California. Estonia has also shown agility in adapting legislation to safely permit the testing of autonomous vehicles on its streets. Furthermore, the nation boasts a dynamic ecosystem of companies specializing in autonomous technology, including Starship, AuveTech, Clevon, and Milrem Robotics. The University of Tartu's Autonomous Driving Lab serves as a central hub for self-driving technology research and development. Our vision for Tartu includes several key components: 1. Designated testing zones for autonomous vehicles, encompassing both specialized closed areas and marked public city spaces. 2. A comprehensive high-definition map of Tartu, featuring a detailed spatial point cloud and lane-level road network. 3. A digital twin, or simulation, of Tartu, facilitating pre-arrival testing. 4. Machine-readable traffic lights throughout Tartu, enhancing autonomous system safety beyond traditional light signals. Open-source tools like QGIS, Shapely, Blender, and the CARLA autonomous driving simulator, alongside open datasets from the Estonian Land Board and the City of Tartu, have been instrumental in achieving the high precision required for our high-definition map and digital twin. These r...https://video.osgeo.org/videos/embed/00a10780-593f-426c-9b8d-558bdfb92ecahttps://video.osgeo.org/w/unRwZRtbtHbMN3B2eudyHdhttps://video.osgeo.org/lazy-static/thumbnails/28e42e19-fa12-4ca2-97db-07402cb0cdfa.jpgFOSS4GE 2024 | Demystifing OGC APIs with GeoServer: introduction and status of implementationThe OGC APIs are a fresh take at doing geo-spatial APIs, based on WEB API concepts and modern formats, including: * Small core with basic functionality, extra functionality provided by extensions * OpenAPI/RESTful based * JSON first, while still allowing to provide data in other formats * No mandate to publish schemas for data * Improved support for data tiles (e.g., vector tiles) * Specialized APIs in addition to general ones (e.g., DAPA vs OGC API - Processes) * Full blown services, building blocks, and ease of extensibility This presentation will provide an introduction to various OGC APIs and extensions, such as Features, Styles, Maps and Tiles, STAC and CQL2 filtering. Some have reached a final release, some are in draft: we will discuss their trajectory towards official status, as well as how good the GeoServer implementation is tracking them, and show examples based on the GeoServer HTML representation of the various resources. Andrea Aime https://talks.osgeo.org/foss4g-europe-2024/talk/SKJFJN/ Room: Destination Earth (Van46 ring) @ 05.07.2024 12:00:00 #foss4ge2024 #GeneralTrack #OpenStandardsAndInteroperabilityForGeospatialhttps://video.osgeo.org/videos/embed/e5cd0740-ca7c-4747-ab91-795296148656https://video.osgeo.org/w/kcdQAYr1XfjKH3d7gMWHeghttps://video.osgeo.org/lazy-static/thumbnails/f8e03164-ff3b-46a5-8db4-f14130a803d8.jpgFOSS4GE 2024 | Our journey into an OGC-compliant Processing EngineWe have recently adopted the OGC API-Processes specification as we modernize our legacy processing platform at UP42. The legacy platform was plagued by poor compatibility among linked processes, high rates of failure, and unnecessary complexity when handling multi-data inputs. The OGC API-Processes specification offers a standard interface that makes complex computational processing services accessible via a RESTful API. Behind the scenes we built a well choreographed set of micro-services providing substance to the standard endpoints: a process registry service (ProcessList, ProcessDescrition), a job registry service (Status, JobList, Result), a task execution service (Execute) and more. To avoid the failure rate experienced in our legacy platform, we enabled a very restrictive validation of every job ahead of execution, leveraging our STAC-in/STAC-out paradigm (widely relying on extensions like proj, eo etc). Our job-registry-service also leverages STAC to ensure full traceability of jobs and items. Now we would like to look back and share our journey with the community, showing how embracing community specifications like STAC and OGC-Processes API enabled us to transition into a more reliable and scalable processing engine. More information: https://up42.com/blog/pansharpening-an-initial-view-into-our-advanced-analytic-capabilities Miguel Delgado https://talks.osgeo.org/foss4g-europe-2024/talk/VSYXRL/ Room: Destination Earth (Van46 ring) @ 05.07.2024 11:30:00 #foss4ge2024 #GeneralTrack #OpenStandardsAndInteroperabilityForGeospatialhttps://video.osgeo.org/videos/embed/9b6eba4a-638c-4a15-9744-fad3314b3de5https://video.osgeo.org/w/ac376PKDKQH2smqrkgeYJMhttps://video.osgeo.org/lazy-static/thumbnails/eb454ac6-78be-4ba0-8382-ae01e6849725.jpgFOSS4GE 2024 | ZOO-Project: from OGC WPS to OGC API - Processes Part 1 and Part 2The ZOO-Project is an open source processing platform, released under MIT/X11 Licence. It provides the polyglot ZOO-Kernel, a server implementation of the Web Processing Service (WPS) (1.0.0 and 2.0.0) and the OGC API - Processes standards published by the OGC. It contains ZOO-Services, a minimal set of ready-to-use services that can be used as a base to create more usefull services. It provides the ZOO-API, initially only available from the JavaScript service implementation, which exposes ZOO-Kernel variables and functions to the language used to implement the service. It contains the ZOO-Client, a JavaScript API which can be used from a client application to interract with a WPS server. Rajat Shinde Gérald Fenoy https://talks.osgeo.org/foss4g-europe-2024/talk/V8AYJB/ Room: Destination Earth (Van46 ring) @ 05.07.2024 11:00:00 #foss4ge2024 #GeneralTrack #StateOfSoftwarehttps://video.osgeo.org/videos/embed/4a6cba0d-c7bb-44bc-92f1-384ce38918a9https://video.osgeo.org/w/qDHHUucDnfGpb1gGXwbhx5https://video.osgeo.org/lazy-static/thumbnails/ea558844-f2e1-44b6-9934-f2e61a457caa.jpgFOSS4GE 2024 | State of OGC APIsOGC APIs are a family of modern standards, which bring interoperability to anyone who wants to share geospatial data, using mainstream web technologies (e.g: REST, JSON, HTML). Some of these APIs come to replace and extend the legacy OGC Web Services (OWS), like WFS or WMS. In this talk, we’ll highlight the state of OGC APIs and their current roadmap. We’ll also look at the adoption of these APIs within OSGeo projects and discuss compliance and certification. Finally, we will point out some resources, available to anyone who wants to develop and validate OGC API implementations. Joana Simoes https://talks.osgeo.org/foss4g-europe-2024/talk/XEQ8VV/ Room: Destination Earth (Van46 ring) @ 05.07.2024 10:30:00 #foss4ge2024 #GeneralTrack #OpenStandardsAndInteroperabilityForGeospatialhttps://video.osgeo.org/videos/embed/c79f8f4a-ad90-4def-9cf2-311d6201e39ahttps://video.osgeo.org/w/7fAJc2yC5LG14duR5S2v4yhttps://video.osgeo.org/lazy-static/thumbnails/8579c767-fa61-426c-9fbe-d0c423d2187e.jpgFOSS4GE 2024 | Towards better data platforms with semantic metadataFor data platforms, where thousands of datasets are stored and documented, interoperability is essential. These platforms often gather records from external sources, and they above all _want to make their own data widely exploitable_. In the world of INSPIRE and geospatial data, rigid XML standards have been the foundation of interoperability for many years. This is now changing as we notice a strong push towards another kind of standards: *semantic metadata*. DCAT (https://www.w3.org/TR/vocab-dcat-3/) is a very good example: at its core, it is a list of concepts and relations that can be used to describe multiple collections of datasets. Because it does not impose a formal way to set up those concepts, metadata expressed in DCAT can have many different forms. This trend imposes great challenges to long-standing solutions such as GeoNetwork, which are built on strictly-structured XML formats. In this talk we will showcase a promising approach made by leveraging the versatility of the GeoNetwork-UI toolkit, a sister project of GeoNetwork built using modern technologies. GeoNetwork-UI has a different way of reading and outputting metadata, and implementing a semantic-capable module opens up many new and exciting perspectives: wider interoperability outside of the geospatial ecosystem, description of relationships between resources across the network, better indexation of the catalog content by search engines etc. This talk will first give a general overview of the changes ongoing in the INSPIRE ecosystem and the push for new interoperability standards, and then showcase the existing implementation in GeoNetwork-UI and what it is capable of. Please keep in mind that the talk will be quite technical, and that the word "metadata" _will_ be pronounced more than once! ;) Looking forward to see you there! Olivia Guyot Florent Gravin https://talks.osgeo.org/foss4g-europe-2024/talk/K3TSFH/ Room: QFieldCloud (246) @ 04.07.2024 17:30:00 #foss4ge2024 #GeneralTra...https://video.osgeo.org/videos/embed/32a0a571-f97f-4b2d-8ec7-4bb4f81b8deahttps://video.osgeo.org/w/uw5E7NqyGrNg9NN5CVWWhGhttps://video.osgeo.org/lazy-static/thumbnails/2c3e98b3-c4cb-411f-910b-af7064c29a87.jpgFOSS4GE 2024 | WGS 84: I don't know, I don't care.WGS 84 (EPSG:4326) is the most commonly Coordinate Reference System used. It is the default in QGIS, the one used by OpenStreetMap, and what many people have in mind talking about latitude-longitude (or even for projected coordinates!). However in many cases users are not aware of the accuracy of coordinates in this system. Nowadays with more affordable RTK devices (or PPK post-processing) people expect amazing accuracies (2 cm!), but forget that the reference system must keep that accuracy. In this talk I will explain what is and what is not WGS84, when it is not a good idea to use it, and how we should be suspicious about data labelled as WGS84. Why people using it don't know or don't care about those problems (with or without a good reason). Also I will talk about the pros and cons of such a CRS. For sure, not everything is bad. Javier Jimenez Shaw https://talks.osgeo.org/foss4g-europe-2024/talk/B8CETX/ Room: QFieldCloud (246) @ 04.07.2024 17:00:00 #foss4ge2024 #GeneralTrack #Foss4GInEducationAndResearchhttps://video.osgeo.org/videos/embed/e6f310d0-3c7a-4d7f-a7a3-1c3c1c5242a0https://video.osgeo.org/w/jrPywFq42ySN7pEwT7AU7ohttps://video.osgeo.org/lazy-static/thumbnails/acb4487e-18a8-4b6e-b9fd-cf25e3945a91.jpgFOSS4GE 2024 | Effortless GIS, CAD & BIM data exchange with SpeckleEvery AEC professional has faced difficulties in transferring data between QGIS, Rhino, Revit, Grasshopper, and other platforms. Imagine if you could do it all with just one click! Speckle is an open-source platform that simplifies data and model exchange between urban design, architecture, and engineering software, fostering collaboration and automation. In this presentation, we will share simple workflows that you can implement with our QGIS plugin to unlock the power of your GIS data, including various publicly available sources. We will discuss different methods to align GIS, CAD, and BIM data, including helpful on-the-fly transformations. This will simplify the technical challenges posed, in particular, by switching between global and local coordinate systems, and between 2D and 3D representations. Kateryna Konieva https://talks.osgeo.org/foss4g-europe-2024/talk/SXWTWW/ Room: QFieldCloud (246) @ 04.07.2024 16:30:00 #foss4ge2024 #GeneralTrack #StateOfSoftwarehttps://video.osgeo.org/videos/embed/955f6689-e18e-44b9-88da-2c61ac4368d2https://video.osgeo.org/w/iqGnTNUyyqgsvZdvU5PatNhttps://video.osgeo.org/lazy-static/thumbnails/ee293c3f-43bf-4d70-8c6f-785e2b81a4f1.jpgFOSS4GE 2024 | Introduction to Vertical Coordinate SystemsThis educational talk will explain why we need a vertical reference for our coordinates, how we define "up" and "height". How elevations were measured in the past, and how we now use GNSS to do it, and the implications of that. What is "the geoid" (gravitational model of the earth) and its differences with respect to the ellipsoid. Different types of heights (orthometric, normal, dynamic) and how we use different geoid models. Finally I will talk about how PROJ.org (open-source library) is supporting vertical coordinate reference systems with the grid files available in PROJ-data (open-data). Javier Jimenez Shaw https://talks.osgeo.org/foss4g-europe-2024/talk/B9V7SD/ Room: QFieldCloud (246) @ 04.07.2024 16:00:00 #foss4ge2024 #GeneralTrack #Foss4GInEducationAndResearchhttps://video.osgeo.org/videos/embed/8d1e1758-de1d-47e2-b3cc-2b98f60180e8https://video.osgeo.org/w/m7AdH7qM9bjmL5rBiYbgckhttps://video.osgeo.org/lazy-static/thumbnails/10b968eb-df74-4551-a0f0-f5786f0fc3d1.jpgFOSS4GE 2024 | GeoNode at work: how do I do this, how do I do that?GeoSolutions has been involved in a number of projects, ranging from local administrations to global institutions, involving GeoNode deployments, customizations and enhancements. A gallery of projects and use cases will showcase the versatility and effectiveness of GeoNode, both as a standalone application and as a service component, for building secured geodata catalogs and web mapping services, dashboards and geostories. In particular the recent advancements in data ingestion and harvesting workflows will be presented, along with the many ways to expose its secured services to third party clients. Examples of GeoNode's builtin capabilities for extending and customizing its frontend application will be showcased. Giovanni Allegri Emanuele Tajariol https://talks.osgeo.org/foss4g-europe-2024/talk/C7JF9M/ Room: LAStools (327) @ 04.07.2024 17:50:00 #foss4ge2024 #GeneralTrack #UseCasesApplicationshttps://video.osgeo.org/videos/embed/a2e252f8-3a0c-4c96-9b76-0d4c8910d59dhttps://video.osgeo.org/w/h1boboAVigPwKU9tVL62Sxhttps://video.osgeo.org/lazy-static/thumbnails/90956ca9-7c42-40fe-8a75-8405322ab54a.jpgFOSS4GE 2024 | Creating GIS Rest APIS using Geodjango under 30 minutesWe're living in the world of APIs. CRUD operations are base of lot of operations. Many smart frameworks such as Django, Flask, Laravel provides out of the box solutions to filter the data, which covers almost all needs to separate data based on column values. When it comes to Geospatial data, we expect to filter data based on their location property instead of metadata. This is where things get complicated, if you are using framework that doesn't have package, library built to handle such use cases, you are likely to be dependent on either database or any external package to handle it. Fortunately Geodjango[https://docs.djangoproject.com/en/4.0/ref/contrib/gis/] (Django's extension) allows us to create databases which understands geometry and can process it[https://docs.djangoproject.com/en/4.0/ref/contrib/gis/geoquerysets/#gis-queryset-api-reference]. It also provides support to write APIs using Rest Framework extension [https://pypi.org/project/djangorestframework-gis/] which takes this to next level allowing user to output the data in various formats, creating paginations inside geojson, create TMSTileFilters, etc. In this talk we'll scratch the surface of this python package and see how to build basic CRUD APIs to push, pull GIS data along with filtering it to the PostgreSQL database krishna lodha https://talks.osgeo.org/foss4g-europe-2024/talk/7XCA3K/ Room: LAStools (327) @ 04.07.2024 17:45:00 #foss4ge2024 #GeneralTrack #StateOfSoftwarehttps://video.osgeo.org/videos/embed/81989def-cf30-49a1-b5b9-13774af8c2ffhttps://video.osgeo.org/w/cJZYPQX7tXWMKotLgiComihttps://video.osgeo.org/lazy-static/thumbnails/645281cf-c9f1-4597-855e-094703b2224f.jpgFOSS4GE 2024 | QGIS eesti - Creating a community"Building up a community has never been so easy. Just find some like minded people and things will start to roll." - Nobody ever said that. Apparently, there is a lot more to it and we are absolute newcomers when it comes to that too. Join us for a bumpy little ride about how the idea of setting up a user group was born, how it is going, lessons learned and where it's heading. The idea of setting up a QGIS user group in Estonia, and the first ever in the Baltics, was born in the aftermath of the 2022 Baltic GIT conference in Tallinn. Randomly poking people and asking "Do you know any QGIS user group in Estonia or the Baltics?" came all back with the same reaction "Nope, sorry" and sometimes followed by a "...it would be cool to have one!". Well, some water has flown down the Emajõgi, but here we are now! As a user group, we want to bring people together sharing the same enthusiasm, interest and experience around GIS and its open source solutions. We come together, chill & talk about GIS, how we approach our challenges in our workplaces and what we have learned and maybe also what went wrong. Chris Nichterlein https://talks.osgeo.org/foss4g-europe-2024/talk/8YVHHY/ Room: LAStools (327) @ 04.07.2024 17:35:00 #foss4ge2024 #GeneralTrack #CommunityFoundationhttps://video.osgeo.org/videos/embed/5f157eb0-b6ec-4f5d-a22e-88c417f66c41https://video.osgeo.org/w/fuapNQJCrHVBiP8grUbAU8https://video.osgeo.org/lazy-static/thumbnails/be307752-d555-40fb-bcca-07efcf076f05.jpgFOSS4GE 2024 | Geospatial GoThe programming language Go has established itself in various IT areas. This lightning talk offers a brief overview of Go with a focus on the existing ecosystem for processing geodata. Go is known for its speed and accessibility. Numerous geospatial projects like pg_featureserv, pg_tileserv, and tegola already make use of Go. This presentation showcases additional tools and libraries in this language. Jakob Miksch https://talks.osgeo.org/foss4g-europe-2024/talk/B77FJF/ Room: LAStools (327) @ 04.07.2024 17:30:00 #foss4ge2024 #GeneralTrack #CommunityFoundationhttps://video.osgeo.org/videos/embed/754e90f3-3d80-4df2-83b9-d20f3aaa6847https://video.osgeo.org/w/joy7K1dVxoPbRQmwjeA7Wyhttps://video.osgeo.org/lazy-static/thumbnails/29b405ba-ee73-43bf-9a73-bc1a8c1bd347.jpgFOSS4GE 2024 | Manage GeoServer configuration with TerraformThis presentation presents how to manage GeoServer configuration with a custom made Terraform provider. It will focus on the different resources available in the provider and the updates made since the last FOSS4G. Different use cases will be explained to show how you can use Terraform capabilities. Alexandre Gacon https://talks.osgeo.org/foss4g-europe-2024/talk/GHRLE3/ Room: LAStools (327) @ 04.07.2024 17:00:00 #foss4ge2024 #GeneralTrack #StateOfSoftwarehttps://video.osgeo.org/videos/embed/94eaa6b1-d338-49c7-aaa1-3e0203053b14https://video.osgeo.org/w/hXb41CPrJZWeu4Mt1vbADohttps://video.osgeo.org/lazy-static/thumbnails/a8400d92-4471-44d5-b886-1a3e27c281ba.jpgFOSS4GE 2024 | G3W-SUITE and QGIS Processing API integration: your geographic analysis models ...The integration between G3W-SUITE and QGIS extends, with the latest release, to the APIs relating to the QGIS Processing module, allowing the use of geographic analysis models, created in QGIS, in a Web environment. G3W-SUITE is a modular, client-server application (based on QGIS-Server) for managing and publishing interactive QGIS cartographic projects of various kinds in a totally independent, simple and fast way. The framework is characterized by strong integration with the QGIS API in relation to numerous aspects: project management, data access, editing and much more. A specific development concerns the integration with the QGIS Processing API in order to migrate the analysis models, created in QGIS via the ModelDesigner, to a web environment. The new module is dedicated to the creation of geographic analyzes on the web and it is based on the automated analysis models prepared on QGIS through the Processing ModelDesigner. During the presentation, both the aspects of interactions with the APIs and the workflow to allow the association of the analysis models with the published WebGis services and their use on the web will be described. Finally, the limits of the current integration and future developments dedicated to simplifying the creation of personalized geographical analyzes on web maps will be described. Walter Lorenzetti https://talks.osgeo.org/foss4g-europe-2024/talk/WS9FAP/ Room: LAStools (327) @ 04.07.2024 16:30:00 #foss4ge2024 #GeneralTrack #StateOfSoftwarehttps://video.osgeo.org/videos/embed/89465214-3b3e-48bc-896d-96781ec6b7e0https://video.osgeo.org/w/nbUtmFxkQEVtMitC128dzqhttps://video.osgeo.org/lazy-static/thumbnails/c06fc453-1ad3-4b81-a027-e6fb4b2fa8ee.jpgFOSS4GE 2024 | Add a "map" tag in HTML: MapML developments and support in GeoServerThe W3C Maps for HTML Community Group is working to define a new map HTML element that would be used to define map contents in a web page and would be directly supported and rendered by web browsers in a standardized way. The specification has support for full screen maps, as well as tiled maps, and vector tiles. The presentation will provide an introduction to the specification, then delve into how the MapML support has been integrated into GeoServer OGC services, with native support for TiledCRSs, as well as tiling and styling. We’ll conclude by discussing the next evolution in the MapML structure and its GeoServer implementation. Andrea Aime Peter Rushforth https://talks.osgeo.org/foss4g-europe-2024/talk/PALXJP/ Room: LAStools (327) @ 04.07.2024 16:00:00 #foss4ge2024 #GeneralTrack #StateOfSoftwarehttps://video.osgeo.org/videos/embed/ab95afb6-19ff-4c1c-966b-d56897aedceahttps://video.osgeo.org/w/oM16eJghU65oY5AFp91xsnhttps://video.osgeo.org/lazy-static/thumbnails/c79cdfdd-0615-497f-bae2-d415d5a0c486.jpgFOSS4GE 2024 | LUMI supercomputer for spatial data analysis, especially deep learningGeoinformatics applications often include analyzing high volumes of data which may require a lot of time and computing resources. Many of these applications can benefit from high performance computing resources (supercomputers) to speed up the computation, or even make them possible -more memory, storage space, available tools and a computing system suitable to handle big data. They also provide more processing units (CPU and GPU) than an average research computer, which are essential components for efficient computational analysis. Particularly Deep Learning applications benefit from the use of one or multiple GPUs. One of these supercomputers is LUMI (https://www.lumi-supercomputer.eu/), provided by EuroHPC Joint Undertaking and 10 European consortium countries. LUMI is particularly well suited for large scale modeling and deep learning applications. LUMI supercomputer is available for free for European academic researchers and for companies and public organizations for open R&D purposes. Compared to commercial computing options, where technical support is rather limited, CSC and LUMI partners offer case-by-case support for projects. Also a wide range of courses is provided to get familiar with supercomputers. This presentation aims to introduce the audience to supercomputing for geoinformatics tasks as well as the benefits and challenges that a move to the supercomputer may introduce for researchers and companies. It will also highlight some of the recent use cases from geoinformatics. Külli Ek https://talks.osgeo.org/foss4g-europe-2024/talk/3ZDYRX/ Room: GEOCAT (301) @ 04.07.2024 17:00:00 #foss4ge2024 #GeneralTrack #Foss4GInEducationAndResearchhttps://video.osgeo.org/videos/embed/b8719368-6500-430a-bf75-301eb0028bf5https://video.osgeo.org/w/gKMU5TFagHipv2rgoYMVM2https://video.osgeo.org/lazy-static/thumbnails/5873036b-5b9d-4ab3-a67a-6b8efcda4127.jpgFOSS4GE 2024 | dsm2dtm: Generate DTM from DSM for free!Digital Surface Models (DSMs) are a valuable geospatial data source, but to analyze underlying terrain, Digital Terrain Models (DTMs) are essential. This presentation showcases dsm2dtm, an open-source tool automating the process of generating DTMs from DSMs. We will cover: - Introduction: Importance of DTMs and challenges in DTM generation workflows - Overview of dsm2dtm: Walkthrough the code and see the core functionality - Demonstration: How to use it - Use cases: Some real world applications - Contribution: How can you contribute In the meantime, checkout dsm2dtm here - https://github.com/seedlit/dsm2dtm Naman Rajat Goel https://talks.osgeo.org/foss4g-europe-2024/talk/8HKQSE/ Room: GEOCAT (301) @ 04.07.2024 16:30:00 #foss4ge2024 #GeneralTrack #UseCasesApplicationshttps://video.osgeo.org/videos/embed/7f965900-4c80-4d8a-853a-4bb5b2c69e2fhttps://video.osgeo.org/w/ogomWv4L36Uovr5HobAfBShttps://video.osgeo.org/lazy-static/thumbnails/1cbbb8c5-ea27-4c03-bba4-328ce65e56b2.jpgFOSS4GE 2024 | Public sharing of semi-automatically detected dead trees in remote sensing imagesForestry as well as the efforts to delay climate change, both need that tree stand in forest would be healthy and high growing potential. Even if tree damaging and killing pests are a natural part of forest ecosystem, the extensive pest outbreaks hamper the support of ecosystem services expected to be provided by forest. Therefore, instant and highly detailed awareness about the health status of trees in mature and old-age stands is vital to maintain ecosystem services, to apply timely salvage cuttings rescuing the timber of dead trees supporting local rural economy and to heal gaps in the damaged forest. We tested several automated and semi-automated image analysis methods to pin-point dead trees from high-resolution summer orthophotos combined with ALS (Aerial Laser Scanning) derived nDSM. Both are open data provided by Estonian Land Board. Starting with object-based machine learning we reached the situation where simple map algebra was even more efficient in dead trees detection and computational resources. The methodological testing revealed multiple sources of false-positive observations. We had to apply various cleaning algorithms to reduce the proportion of biased objects. The removal occurred to be the major task. Finally, the large-scale test object layer was produced for one quarter of the country (16600km2), and these results were shared with experts for review. When feedback was collected, additional algorithms and parameters were tested to improve the results. Only then the final version was published. The resulting object-layer is published in open-access GIS platform XGIS provided by Estonian Land Board, which has many stakeholder-oriented thematic maps (CountrysideGIS https://xgis.maaamet.ee/xgis2/page/app/maaeluGIS). The specific thematic map also provides many other open access data. For example, we will show, how the indicated dead tree locations can be assessed for the current state and assess the outbreak using the latest Sentinel-2 images ...https://video.osgeo.org/videos/embed/b44efccf-a570-4db1-ab33-0fbb87fff508https://video.osgeo.org/w/983EiGqaZeTvK3wV8wyU6ehttps://video.osgeo.org/lazy-static/thumbnails/15af2764-0f5b-4bf1-9c3d-899527606131.jpgFOSS4GE 2024 | A critic analysis of the CRAThe EU Commission is introducing the "Cyber Resilience Act", a legislation aimed at improving the security aspects of software. This talk is an overview and criticism of the CRA: How it has been developed, what it aims for, what are come likely outcome scenarios, and how all of this affects the OSGeo Foundation and its obligations as "Open Source Steward". ivansanchez https://talks.osgeo.org/foss4g-europe-2024/talk/7STSKY/ Room: Destination Earth (Van46 ring) @ 04.07.2024 17:30:00 #foss4ge2024 #GeneralTrack #Foss4GMadeInEurope #EuropeanTrackhttps://video.osgeo.org/videos/embed/41c4f489-4d05-411a-922d-1ae9fdd192ffhttps://video.osgeo.org/w/bvUcT8wSPYcKnigRHo6zp8https://video.osgeo.org/lazy-static/thumbnails/1b52058b-6982-451e-b457-711ca497d7f7.jpgFOSS4GE 2024 | Good old Europe and (geospatial) open source software. Outlook for 2024+Europe's journey through the open-source domain is a narrative woven with contradictions, where ambitious policy frameworks and groundbreaking initiatives often clash with the realities of implementation and cultural resistance. This presentation embarks on an exploration of this land of paradoxes, where the drive for innovation in geospatial technologies meets the inertia of traditional practices. Amidst this backdrop, the EU's legislative endeavours, including Directive (EU) 2019/1024 on open data and the nascent Interoperable Europe Act, emerge as double-edged swords - championing progress yet ensnared by bureaucratic complexities. With a discerning eye, we delve into the tangle of drivers and barriers shaping the adoption and development of open-source geospatial software within Europe. From the lofty aspirations of the European Green Deal to the pragmatic challenges posed by the Cyber Resilience Act, the presentation unpacks how the continent's policy landscape is moulding the ecosystem for open-source innovations. Yet, Europe's strength lies in its ability to navigate through its own contradictions. The Copernicus Programme, INSPIRE, and Destination Earth stand as testaments to Europe's commitment to open data and science, even as the spectre of the war in Ukraine casts long shadows over cybersecurity and data & software sovereignty concerns. This dialogue extends to the technological frontiers of cloud migration, generative AI in geospatial realms, and the FAIR data principles, each reflecting the continent's struggle and success in marrying tradition with innovation. Europe's path is fraught with contradictions, yet therein lies its potential for equilibrium - finding balance amidst discord, innovation in the face of adversity. Vasile Crăciunescu https://talks.osgeo.org/foss4g-europe-2024/talk/RYD39T/ Room: Destination Earth (Van46 ring) @ 04.07.2024 17:00:00 #foss4ge2024 #GeneralTrack #Foss4GMadeInEurope #EuropeanTrackhttps://video.osgeo.org/videos/embed/552820d9-3757-4c7f-b279-0e1abaecb669https://video.osgeo.org/w/3ms2VShhc8a8z7Nzv5BQP9https://video.osgeo.org/lazy-static/thumbnails/a1de18a8-6f7a-4120-8fc1-49a1efae5f8d.jpgFOSS4GE 2024 | A Processing Pipeline For European Official Statistics: Towards Standardisation ...Disclaimer: The views in this abstract are those of the authors and do not necessarily reflect the position of the European Commission (EC) or national statistical institutes Abstract: The European Statistical System (ESS) - the partnership between the EU statistical authority (Eurostat) and national statistical institutes (NSI), and other statistical authorities in the European member states - considers Mobile Network Operator (MNO) data as one of the most promising new data sources for future statistical production. The production of official statistics based on MNO data has the potential to provide considerable societal value. In this context, the ESS emphasises the need for standardised reference methods adhering to the principles of statistical production, such as quality, privacy protection, and transparency. In line with the ESS Innovation Agenda, following an open call for tenders, in December 2022, Eurostat awarded the service contract "Development, implementation and demonstration of a reference processing pipeline for the future production of official statistics based on Multiple Mobile Network Operator data (TSS multi MNO)"*. The project is a significant milestone towards the future reuse of MNO data for the production of official statistics at EU level. The goal of the project is to develop a complete, open end-to-end processing pipeline that should serve as a starting point towards the regular production of future official statistics based on MNO data Europe-wide. This "processing pipeline" encompasses a combination of a fully documented open methodological and quality framework, plus the implementation of a reference open-source software pipeline compliant with the said framework. The processing pipeline will be demonstrated across data from multiple MNOs. If successful, the reference pipeline developed by the project will be proposed for adoption by the ESS as a methodological standard. The project is being implemented by a consortium p...https://video.osgeo.org/videos/embed/130d323f-982a-4b88-979b-673efa88c186https://video.osgeo.org/w/ozSBfsemWTjDQja6azYj1Fhttps://video.osgeo.org/lazy-static/thumbnails/2a328a87-8dff-4887-8e4d-359f18b67b84.jpgFOSS4GE 2024 | FOSS4G for policy support in Europe, a case study on water monitoringThe Joint Research Centre (JRC) of the European Commission provides independent, evidence-based science and knowledge that supports European Union policies. To facilitate this, the JRC has developed the Big Data Analytics Platform (BDAP), a data platform that is entirely based on free and open-source software (FOSS). It allows data scientists from the JRC to easily access, analyze, view, and reuse scientific data at a petabyte scale. The majority of the hosted data are geospatial data from various domains including Earth observation imagery from the Copernicus Sentinel missions. Data are automatically downloaded from the Copernicus Data Space Ecosystem, processed and stored in an open source distributed filesystem (eos). These individual steps are implemented as microservices using docker compose. To facilitate data access, an application programming interface (API) was implemented following the Spatio Temporal Asset Catalog (STAC) specification. It exposes collections of spatial temporal data in a standardized way, which has given rise to an ecosystem of FOSS tools, including pystac and odc-stac. Based on simple queries through REST APIs, collections and their individual data items can be queried based on geographic location and acquisition time. In addition, the JRC has developed a suite of libraries for geospatial data processing (pyjeo) and create data science dashboards (Vois) that were released as FOSS. In this talk, these libraries will be introduced, while presenting real case studies that illustrate how these libraries were instrumental in providing policy support using reproducible workflows. In particular, a case study on monitoring water in the European continent will be presented. It uses Sentinel-2 satellite imagery to create time series of water masks based on machine learning techniques. A monitoring system is set up by comparing the extent of water for a defined set of water reservoirs over time. Pieter Kempeneers https://talks.osgeo.org/fos...https://video.osgeo.org/videos/embed/b6e3c876-a55e-47df-8c49-2dd5a97cbadfhttps://video.osgeo.org/w/qJXhUdS8u6EhxwESJxkQkahttps://video.osgeo.org/lazy-static/thumbnails/e9bcbe45-0946-4aaa-aa3f-00d6c1e52e8b.jpgFOSS4GE 2024 | Geometrically guided and confidence-based denoising#### Introduction As part of the CO3D mission (Lebegue et al., 2020), carried out in partnership with Airbus, CNES is developing the image processing chain including the open source photogrammetry pipeline CARS (https://github.com/cnes/cars) (Youssefi et al., 2020). By acquiring land areas within two years, providing 4 bands (Blue, Green, Red, Near Infra Red) at 50 cm, the objective is to produce a global Digital Surface Model (DSM) with 1 m relative altimetric error (CE90) at 1 m ground sampling distance (GSD) as target accuracy. The worldwide production of this 3D information will notably make a real contribution to the creation of digital twins (Brunet et al., 2022). Satellite imagery provides global coverage, which unlocks the possibility to update the 3D model of any location on Earth within a rapid time frame. However, due to the smaller number of images or lower resolution than drone or aerial photography, a denoising step is necessary to extract relevant 3D information from satellite images. This step smooths out features while retaining their edges that are sometimes barely recognizable relative to the sensor resolution, such as the edges of small houses or the narrow gaps between them as our results show. #### Geometrically guided and confidence-based point cloud denoising Point cloud denoising is a topic widely studied in 3D reconstruction: several methods, ranging from classical to deep learning-based have been designed over the past decades. In this article, we propose a new method derived from bilateral filtering (Digne and de Franchis, 2017) integrating new constraints. Our aim is to show how a priori knowledge can be used to guide denoising and, above all, to produce a denoised point cloud that is more consistent with the acquisition conditions or metrics obtained during correlation. This new method takes into account two important constraints. The first is a geometric constraint. The input to the denoising step is a point cloud from photogram...https://video.osgeo.org/videos/embed/c85aa405-5e57-4494-900a-cdf480f4f8bfhttps://video.osgeo.org/w/tvQA6ppesshTr4muTmmCN1https://video.osgeo.org/lazy-static/thumbnails/708b828b-4d66-45b8-8000-1c02dd727340.jpgFOSS4GE 2024 | Tile-based GISThis short talk is about applying the concept of tiles to store geospatial information in a database and use it efficiently. We'll explore the scenarios where this method is beneficial and demonstrate how to implement it using PostgreSQL/PostGIS and the ST_AsMV function for data storage, retrieval, and visualization. Felix Delattre https://talks.osgeo.org/foss4g-europe-2024/talk/DFEA7R/ Room: QFieldCloud (246) @ 04.07.2024 15:20:00 #foss4ge2024 #GeneralTrack #UseCasesApplicationshttps://video.osgeo.org/videos/embed/ded141a6-ef33-4776-af55-43d51915bcbchttps://video.osgeo.org/w/sLugngBmPxNgJcn8t7wL8xhttps://video.osgeo.org/lazy-static/thumbnails/0caf8a22-7487-49ff-90d9-03832ce0bca2.jpgFOSS4GE 2024 | Processing and publishing Maritime AIS data with GeoServer and Databricks in AzureThe amount of data we have to process and publish keeps growing every day, fortunately, the infrastructure, technologies, and methodologies to handle such streams of data keep improving and maturing. GeoServer is an Open Source web service for publishing your geospatial data using industry standards for vector, raster, and mapping. It powers a number of open source projects like GeoNode and geOrchestra and it is widely used throughout the world by organizations to manage and disseminate data at scale. We integrated GeoServer with some well-known big data technologies like Kafka and Databricks, and deployed the systems in Azure cloud, to handle use cases that required near-realtime displaying of the latest AIS received data on a map as well background batch processing of historical Maritime AIS data. This presentation will describe the architecture put in place, and the challenges that GeoSolutions had to overcome to publish big data through GeoServer OGC services (WMS, WFS, and WPS), finding the correct balance that maximized ingestion performance and visualization performance. We had to integrate with a streaming processing platform that took care of most of the processing and storing of the data in an Azure data lake that allows GeoServer to efficiently query for the latest available features, respecting all the authorization policies that were put in place. A few custom GeoServer extensions were implemented to handle the authorization complexity, the advanced styling needs, and big data integration needs. Andrea Aime https://talks.osgeo.org/foss4g-europe-2024/talk/FTL8N8/ Room: QFieldCloud (246) @ 04.07.2024 15:15:00 #foss4ge2024 #GeneralTrack #UseCasesApplicationshttps://video.osgeo.org/videos/embed/d8c3bffb-67ef-4dd7-acc3-00cc3968de15https://video.osgeo.org/w/uSP9fCSVtaq916bLkH23C2https://video.osgeo.org/lazy-static/thumbnails/06e8b445-ade6-498e-9be5-1336dda63848.jpgFOSS4GE 2024 | Geoharmony: A QGIS Plugin Unveiling Satellite Insights for Sustainable ...Within the framework of the German Development Agency's (GIZ) "Strengthening Drought Resilience Programme" in Ethiopia, GFA developed a raster data methodology for analysing rehabilitated and protected dry valleys and implements/ed advanced trainings for governmental personnel. The project aims to assess the impact of locally installed irrigation infrastructure, i.e. water spreading weirs (WSW) along the riverbeds on its immediate surroundings. We have pioneered a rigorous and scientifically grounded methodology leveraging advanced satellite imagery. Our analysis incorporates vegetation indices and employs the Mann-Kendall Test to ascertain the notable trends in various changes induced by the WSW. These discerned patterns are systematically juxtaposed against a carefully selected control group for robust comparative analysis. A QGIS Plugin has been developed, allowing any user to undertake critical impact assessments of the WSW. During the design phase, we applied human-centric design principles ensuring the plugin efficiently blends in with daily work routines. Minding the potential gaps in technical capacity in target groups, the plugin and methodology were specifically designed so that: 1) anyone can use it 2) further development can be undertaken and 3) it can work in offline environments, e.g. to maintain utility in remote or underserved areas. Sentinel and Landsat data are acquired for specific time frames and processed for a region of interest through an intuitive and customisable user interface. Different vegetation indices can be selected on which the Mann-Kendall Test is then applied. Finally, if desirable, a customised report can be exported showing the significant changes and accompanied test results. In this talk, I will demonstrate the plugin and describe the developed methodology in further detail. Furthermore, I would like to share our lessons learned and immediate insights from application in the development cooperation context. Berit Mo...https://video.osgeo.org/videos/embed/e9d81f99-f71e-449c-8f84-78f71866c009https://video.osgeo.org/w/aJaKGCYCHBzSaf7BbvNJvPhttps://video.osgeo.org/lazy-static/thumbnails/0474ae49-c019-4193-adf9-17784b3c1058.jpgFOSS4GE 2024 | Random Geodata GeneratorFor developing geospatial applications often some sample data of a specific region is needed. This lightning talks presents a web application that allows to create random vector data of a required extent. The data can be exported as GeoJSON or Shapefile and runs completely in the browser without any connection to a backend. The application itself is created with Vue.js and OpenLayers. The source code and the website are freely available. Jakob Miksch https://talks.osgeo.org/foss4g-europe-2024/talk/WGQQNF/ Room: QFieldCloud (246) @ 04.07.2024 15:05:00 #foss4ge2024 #GeneralTrack #UseCasesApplicationshttps://video.osgeo.org/videos/embed/4ec57f3f-8292-4810-b5fa-0f4b946026a9https://video.osgeo.org/w/2Bkv6smuqR6fkvhwfoXJFUhttps://video.osgeo.org/lazy-static/thumbnails/c2999649-f7e9-4310-94e5-e40a7ea45dfc.jpgFOSS4GE 2024 | State of MapServerMapServer is a founding OSGeo project and used for publishing spatial data and interactive mapping applications to the web [1]. This talk provides an overview of enhancements and features in the new 8.2 release of MapServer and its scripting language MapScript, along with upcoming plans for the future. [1] https://mapserver.org/ Seth Girvin https://talks.osgeo.org/foss4g-europe-2024/talk/S9JYHZ/ Room: QFieldCloud (246) @ 04.07.2024 15:00:00 #foss4ge2024 #GeneralTrack #StateOfSoftwarehttps://video.osgeo.org/videos/embed/0d08305c-7bbf-4048-a860-1f1dde0afc2ahttps://video.osgeo.org/w/eb5XnkE1VGFk9KMsB6tpSfhttps://video.osgeo.org/lazy-static/thumbnails/2b6954a5-2b17-4be2-a62a-a17a42bece0b.jpgFOSS4GE 2024 | Climate Risk Overview of Coastal HotspotsAs part of the company's goal to make coastlines more resilient and work on nature based solutions, we created a tool which gives an overview of flood vulnerable areas and protected areas. Using mostly open geodata and open source frontend libraries, the GIS and Data lab team at Van Oord worked on getting together and analysing key parameters such as population, low-lying land and expected sea level rise to anticipate the hazard of flooding for global coastlines and societies. The climate risk overview tool is open to use at: https://climaterisk.data.vanoord.com The tool is meant to encourage collaboration and discussion between different organizations on climate solutions for coastal hotspots and offer different views of areas near the coast based on selected criteria and applied filters. We'd like to talk about the process and some interesting GIS problems we came across during this project: Several iterations to break up the world's coastlines into equal polygon areas of 10 km2 were tried. With this as a base layer to make aggregated calculations of people exposed to flooding, it became tricky to capture the Small Island Developing States with the medium resolution data available. How did this get solved? Another aspect we had to think about was how to load the results of over 60,000 points in a web map application, without a full-fledged backend, which performs well with respect to user experience - the user should be able to see instant results while applying various filters on the layer attributes. Our stack - Vue, Quasar, dc, PostGIS, Postgrest, Python Zehra Jawaid Görkem https://talks.osgeo.org/foss4g-europe-2024/talk/LK3TSE/ Room: QFieldCloud (246) @ 04.07.2024 14:30:00 #foss4ge2024 #GeneralTrack #UseCasesApplicationshttps://video.osgeo.org/videos/embed/6aaf4b2e-1d76-4933-80ac-ea1af270ec06https://video.osgeo.org/w/fLrLsfCSGhDWEQhwNKW7aghttps://video.osgeo.org/lazy-static/thumbnails/a51997fa-f695-4bcd-8c7c-8f3c73881d23.jpgFOSS4GE 2024 | QGIS 3D and point clouds enhancementsWe have been busy improving QGIS 3D, point clouds and 3D Tiles integration in the past year. This presentation highlights the key features and enhancements. Saber Razmjooei Martin Dobias https://talks.osgeo.org/foss4g-europe-2024/talk/U3W7KX/ Room: QFieldCloud (246) @ 04.07.2024 14:00:00 #foss4ge2024 #GeneralTrack #StateOfSoftwarehttps://video.osgeo.org/videos/embed/77948bd6-980d-44c9-b1f0-9c21e8211951https://video.osgeo.org/w/53ErZWEdDvj2BQRrB8qu4Whttps://video.osgeo.org/lazy-static/thumbnails/a2dad063-7013-4e8d-843b-658a3c3dfdaf.jpgFOSS4GE 2024 | MapStore, a year in reviewMapStore is an open source product developed for creating, saving and sharing in a simple and intuitive way maps, dashboards, charts, geostories and application contexts directly online in your browser. MapStore is built on top of React and Redux, it is cross-browser and mobile ready; it does not explicitly depend on any mapping engine but it supports both OpenLayers, Leaflet and Cesium; additional engines could also be supported. The presentation will give the audience an extensive overview of the MapStore functionalities for the creation of mapping portals, covering both previous work as well work for the future releases. Eventually, a range of MapStore case studies will be presented to demonstrate what our clients (like City of Genova, City of Florence, Halliburton, Austrocontrol and more) and partners are achieving with it. Lorenzo Natali Stefano Bovio https://talks.osgeo.org/foss4g-europe-2024/talk/VFCZL3/ Room: LAStools (327) @ 04.07.2024 15:00:00 #foss4ge2024 #GeneralTrack #StateOfSoftwarehttps://video.osgeo.org/videos/embed/20c3bc9c-6345-4a21-ac4b-37e6347a95a4https://video.osgeo.org/w/qgqkiwtUwMbf3d4NptRx9bhttps://video.osgeo.org/lazy-static/thumbnails/cd7766f8-2ffc-499c-8cc7-172d43a13ca9.jpgFOSS4GE 2024 | QGIS in your browser - QGIS WASMImagine the analytical capabilities of QGIS, the popular desktop GIS software, readily accessible in your web browser. With QGIS WebAssembly, that vision becomes reality. This groundbreaking technology brings core QGIS functionalities to the web, empowering everyone to publish and share their geospatial data without cumbersome spatial data infrastructure. This presentation will give the audience an overview of the current state of QGIS WebAssembly, its potential and hurdles we have to overcome to bring this technology to the end users. The code is now available here: https://github.com/qgis/qgis-js Saber Razmjooei Martin Dobias https://talks.osgeo.org/foss4g-europe-2024/talk/3CQF83/ Room: LAStools (327) @ 04.07.2024 14:30:00 #foss4ge2024 #GeneralTrack #StateOfSoftwarehttps://video.osgeo.org/videos/embed/c4827ae1-ce90-4e10-98fc-1d3b1c3683eehttps://video.osgeo.org/w/rhnQAK3QduKLnqmFMZ38g5https://video.osgeo.org/lazy-static/thumbnails/90fea65a-e805-42f3-9631-27bbfea156a9.jpgFOSS4GE 2024 | GeoMapFish StatusGeoMapFish is an open source platform for the development of web-based geographic information systems (WebGIS). The platform is rich in functionality, highly customizable and offers multiple interfaces - desktop, mobile, administration and an API for integrating maps into third-party applications. OpenLayers and an OGC architecture allow the use of different cartographic engines: MapServer, QGIS Server, GeoServer. A solid and proven backend enables opening up to other web viewers. The platform has been developed in close collaboration with a large user group. It targets a variety of uses in public administrations and private groups, including data publication, geomarketing and facility management. A highly integrated platform, a large number of features, fine grained security and a mature reporting engine are characteristics of the GeoMapFish solution. In this talk, we will present the key usages, the state of the migration process to web components and latest functional developments. We will share our experiences from the productive operation of GeoMapFish-based geoportals in various Kubernetes clusters. Yves Bolognini https://talks.osgeo.org/foss4g-europe-2024/talk/QZPNVA/ Room: LAStools (327) @ 04.07.2024 14:00:00 #foss4ge2024 #GeneralTrack #StateOfSoftwarehttps://video.osgeo.org/videos/embed/ccbdd32d-7423-444e-a77d-3c833538b126https://video.osgeo.org/w/vUQNhhq3LXsX1vWV6TXSihhttps://video.osgeo.org/lazy-static/thumbnails/ab62c6c3-71a2-42c8-8acf-6e916b8d5d7b.jpgFOSS4GE 2024 | Q-MOKA: A QGIS-Based Application for Managing and Analyzing Traffic AccidentsThe presentation will discuss Q-MOKA, a GIS application developed in collaboration with the Hellenic Ministry of Infrastructure and Transportation to manage and analyze traffic accidents along the Greek Primary and Transeuropean Road Network. Q-MOKA addresses the challenges of the existing Traffic Accident Registry, which lacked geospatial referencing and robust data validation. Built around QGIS and Postgres/PostGIS, Q-MOKA offers several key functionalities: * Network Model: Supports multiple linear referencing systems for accurate accident location representation. * Dual-Carriageway Management: Ensures consistent linear referencing even during network realignments. * Flexible Accident Location: Records accidents by X,Y coordinates or route/offset, maintaining synchronization between the two methods. * Linear and Point Data Management: Allows creation and editing of additional linear and point event data relevant to the Agency (e.g., number of lanes, speed limits). * Geographic Mapping: Provides route-level accident mapping based on the recording service. * Custom QGIS Forms: Facilitates data entry and management through user-friendly forms. The presentation will delve into the technical aspects of Q-MOKA, including its database structure, configuration options, and potential future enhancements. By offering a robust and user-friendly platform for traffic accident management and analysis, Q-MOKA contributes to improved road safety and informed decision-making in Greece. Keywords: Traffic accident, GIS, QGIS, PostgreSQL, PostGIS, linear referencing Stathis Petridis ANTONIOS FEKAS https://talks.osgeo.org/foss4g-europe-2024/talk/8JDDX3/ Room: GEOCAT (301) @ 04.07.2024 15:20:00 #foss4ge2024 #GeneralTrack #UseCasesApplicationshttps://video.osgeo.org/videos/embed/f239c51d-7a9d-4387-b539-715d5a0db51ahttps://video.osgeo.org/w/iq4nnMV6p2JYdLEf38t6pihttps://video.osgeo.org/lazy-static/thumbnails/d7f9dd04-edb0-43ee-a36b-0c7c843036e9.jpgFOSS4GE 2024 | Crossing the bridge from research to operational. FOSS based geo-knowledge ...For geospatial enthusiasts, working with data, debugging code, running geospatial algorithms, making maps and then more maps to best depict the momentary state of an environmental or socio-economic variable - it is a great and valuable use of working time. But how to get that valuable knowledge into the radar of non-geospatial people working time? On the radar of the professionals that could/would highly benefit from geospatial knowledge but have no time, interest or curiosity to invest into learning new geo-dedicated skills? What about the operational businesses for which tabular data and e-mail are the main working tools and have no resources to invest into bringing the geospatial component on board? It is no secret that selling geo-services is not easy for proprietary software, with a marketing budget and sales people. Building on top of FOSS and then crossing the bridge from research to operational brings interesting, yet quite numerous obstacles to overcome as well. In this talk, the authors present the long and sinuous road of getting the geospatial-extracted knowledge outside the geospatial field into the..wild. Ilie Codrina https://talks.osgeo.org/foss4g-europe-2024/talk/E3SRTK/ Room: GEOCAT (301) @ 04.07.2024 15:15:00 #foss4ge2024 #GeneralTrack #UseCasesApplicationshttps://video.osgeo.org/videos/embed/8d07489c-ab34-4b27-ab38-eca5a6e43a63https://video.osgeo.org/w/xuZfrK2LdiiYbGxtGqVCK2https://video.osgeo.org/lazy-static/thumbnails/0471807e-154b-4064-82a9-49706a564f7c.jpgFOSS4GE 2024 | GIS services for public safety with open source GIS softwareIn Estonia most of the internal security organisations and their applications use our GIS services (IT support is offered by SMIT) which are provided with the help of FOSS geospatial software. In 5 minutes I will showcase with user stories how open source software is helping saving lives, property and environment. I give overview of the services and softwares that makes it happen. For example MapServer, Openlayers etc. Katre Kasemägi https://talks.osgeo.org/foss4g-europe-2024/talk/BWXW7Q/ Room: GEOCAT (301) @ 04.07.2024 15:10:00 #foss4ge2024 #GeneralTrack #UseCasesApplicationshttps://video.osgeo.org/videos/embed/ff1767ad-59b3-4f95-b5f2-ed6a96a079d7https://video.osgeo.org/w/uQzbcye5kau1XdisWXp17ghttps://video.osgeo.org/lazy-static/thumbnails/b8eae1ea-9573-49e3-878a-fe2eb7e1a2bf.jpgFOSS4GE 2024 | WebGIS for Coastal Resilience: A Use case for developing a coastal erosion ...Due to the compounding impacts of climate change and human activities, the frequency and severity of hazards and natural disasters are on the rise, exerting significant impacts on the environment, economy, and human lives. Responding to this shifting landscape, numerous institutions and political structures are redirecting their focus from emergency response to proactive disaster risk reduction and planning. Notably, the public Authority has sponsored the project titled "Creation of an Integrated Observatory System for Preventing and Managing the Risk of Coastal Erosion due to the Impact of Climate Change through the Utilization of Earth Observation Data". This initiative employs Earth Observation, combined with in-situ data, advanced algorithms, and models, to develop comprehensive knowledge on hazard exposure and vulnerability. The applied methodology encompasses three thematic phases: Phase A includes the creation of algorithms and tools for calculating necessary indicators, Phase B involves the design of the web GIS application hosting the observatory, its services, and derived datasets, and Phase C entails evaluating the current state and proposing alternatives for risk management. Spatial databases were continually reassessed throughout the project, hosting digital products created by specialized Python scripts that process optical images from Sentinel-2 satellites, Sentinel-1 SAR acquisitions, and in-situ measurements. These data sources contribute to generating timeseries of multiple indicators related to coastline alterations. The extensive monitoring database serves not only to establish correlations between derived indicators and human activity but also to calculate 50- and 100-year simulation indicators for coastal vulnerability under tidal wave pressure. Additionally, a tool for determining passive flood mapping in different sea level rise scenarios is developed using the bathtub approach. All this information is seamlessly integrated into a web G...https://video.osgeo.org/videos/embed/e988075e-5282-4046-bda9-6e7e20ba4033https://video.osgeo.org/w/nhUFWcyMscJAqLsVUKbv21https://video.osgeo.org/lazy-static/thumbnails/3c6a33ab-f4be-4ad8-ac60-b1a08b0433b8.jpgFOSS4GE 2024 | Cloudferro's open source QGIS plugin for discovery of Copernicus dataCloudferro's repository contains nearly 67 Pb of EO data. So far, there wasn't any service providing easy access to data basing on OGC standards. For the past year, there was put work on creating a WebMapService (WMS), specifically for European satellite missions - Sentinel -2 and Sentinel-1. In result, company developed a vast OGC services, based on analysis ready original Sentinel data stored in Cloudferro's repository, which serves as a official ESA storage. Although the services are here, there is also a need for a tool enabling users to use those services. This paper presents the tool, which uses those services and works as a framework for potential users in form of a QGIS plugin. Although web services are based on OGC standards and this allows majority of GIS software establish connection with them, it's still unintuitive to build and use raw URL request. QGIS plugin provides a simple GUI to construct all necessary requests in a simple and fast way. Thanks to that, users can start work with EO data in a simple and comfortable manner. This plugin not only serves as a display tool, but also provide functions for analysis and download of Sentinel-1 and Sentinel-2 images thanks to WebCoverageService (WCS). On the other hand, thanks to usage of Virtual Rasters (VRT), displayed data can be analysed on demand i.e.: mask all clouds in Sentinel-2 true colour images. The biggest advantage of this solution is an easy access to original, not processed Sentinel data, which are obtained every day. Since plugin can provide both display and download capabilities, this tool seems perfect for small processing tasks done by students on vast universities. By this, those students could easily get in touch with Sentinel data and enlarge European EO community. Michał Bojko https://talks.osgeo.org/foss4g-europe-2024/talk/HTLEJN/ Room: GEOCAT (301) @ 04.07.2024 15:00:00 #foss4ge2024 #GeneralTrack #UseCasesApplicationshttps://video.osgeo.org/videos/embed/ac6c485a-e9f9-4427-9bde-9fa0e0ae194ehttps://video.osgeo.org/w/fHT6kAhE3ZUXhCd7Du3diChttps://video.osgeo.org/lazy-static/thumbnails/d4b72fbb-747a-4aed-839e-a7d3d2f7f5fd.jpgFOSS4GE 2024 | Web Mapping 101: Getting started using MapTiler SDK!This talk is for curious minds who want to get started with web mapping, regardless of their experience in GIS! We will see how to set up a development environment from scratch and explore the coolest features from *MapTiler SDK*. Then, we will learn how to use them to make better maps that are actually useful and can tell stories. Our tools: JavaScript, TypeScript, and a bit of CSS, but if you have never heard of those, that's fine too, this talk is beginner-friendly! (and what's better than learning about web programming with an actual project in mind!) PS: It will be easier if you are already familiar with the basics of programming and some general concepts, even with another language such as Python: what's a variable? what's a function? Jachym Jonathan Lurie https://talks.osgeo.org/foss4g-europe-2024/talk/FDLWYB/ Room: GEOCAT (301) @ 04.07.2024 14:30:00 #foss4ge2024 #GeneralTrack #StateOfSoftwarehttps://video.osgeo.org/videos/embed/7738ec21-e9d7-4950-bf23-e41ad4a3175ehttps://video.osgeo.org/w/shUa3SSB11FgNy8beSBgJmhttps://video.osgeo.org/lazy-static/thumbnails/aafc3ede-a794-4e73-919b-e7bafc61a6d5.jpgFOSS4GE 2024 | View Server - Cloud Native EO Data AccessThe View Server (VS) software project was developed for cloud native geospatial data access. This includes functionality to browse, search, transform and download Earth Observation (EO) and other geospatial data via a range of OGC compliant and other standardized interfaces such as STAC, OpenSearch, WMS, WMTS and WCS and their OGC API successors. Based on EOxServer, powerful rendering capabilities are built in, allowing on-the-fly data transformation and colorization for exploring datasets, which can subsequently be tiled and cached via the built in MapCache. Data is ingested via feature rich components to harvest, enrich metadata, preprocess and pre-seed caches, to offer a performance optimized and flexible rendering of the data via its service endpoints. Using the harvested and enriched metadata, CQL filters can be employed to filter down the records to be visualized or searched, whereas an expression language is used to flexibly define the renderings of either RGB or color-scaled outputs. As a cloud native component, View Server allows various storage systems, such as OpenStack Swift and S3 and can be installed as a system in a kubernetes (via Helm Charts) or Docker Swarm environments. In the recently concluded Earth Observation Exploitation Platform Common Architecture (EOEPCA), View Server was both employed in the global and user workspace data access contexts. In ongoing developments, View Server will be made compatible with the other components of the eoAPI, allowing it to share a common data model based on STAC and as an interchangeable component in an eoAPI deployment but with all rendering features remaining. View Server is also used in other operational deployments for data preprocessing, access and visualisation. Those include the ESA Payload Data Ground Segment Software Applications (PDGS) or Copernicus Space Component Data Access system (CSCDA) for a vast number of active and discontinued optical and SAR satellite missions. Lastly, it supports ...https://video.osgeo.org/videos/embed/d4e9a5d4-8124-4b8c-ad9a-a4b3cda4306chttps://video.osgeo.org/w/opYVMvs4on4wmZ1eEkZXfmhttps://video.osgeo.org/lazy-static/thumbnails/049e7c93-0f8d-45f9-9b2d-1274ed459164.jpgFOSS4GE 2024 | Code for Earth - and what's in for youCode for Earth, an ECMWF-run partnership programme, fosters innovation and collaboration and supports advancements in weather, atmosphere and climate research, including in the Copernicus programme and the Destination Earth (DestinE) initiative, which are both EU-funded. Since its first edition in 2018, the programme has brought together talented individuals and developer teams with experienced mentors from ECMWF to work on cutting-edge projects covering a wide range of topics. In 2023, ten developer teams participated in Code for Earth. This presentation will give an insight into the programme and the current 2024 edition. It will also explain how interested people can join Code for Earth and make an impact on real-world challenges. Each summer, several individuals and developer teams from different backgrounds test, explore and/or develop open source software solutions supported by ECMWF's mentors. Their projects tackle topics such as data science in Earth-, weather-, climate- and atmosphere-related challenges, including visualisation, machine learning/artificial intelligence, user support tools and data analysis. By encouraging multidisciplinary collaboration and embracing open source principles, Code for Earth facilitates the development of cutting-edge solutions and advancements in Earth system sciences. Since its start, the programme has produced 45+ open-source software developments highly beneficial to activities at ECMWF. Athina Trakas https://talks.osgeo.org/foss4g-europe-2024/talk/MHGRXQ/ Room: Destination Earth (Van46 ring) @ 04.07.2024 15:00:00 #foss4ge2024 #GeneralTrack #UseCasesApplications #EuropeanTrackhttps://video.osgeo.org/videos/embed/b5823d6c-909c-4ada-8016-78ebea142914https://video.osgeo.org/w/19aQbfNEwX9mo4p6ogn6SEhttps://video.osgeo.org/lazy-static/thumbnails/2a4e264b-ac58-4e94-bac4-536233bd98af.jpgFOSS4GE 2024 | Architecture of OGC Services Deployment on Kubernetes Cluster based on CREODIAS ...The Copernicus Data Space Ecosystem provides open access to the petabyte-scale EO data repository and to a wide range of tools and services, limited to some predefined quoatas. For users who would like to develop commercial services or for those who would like to have larger quotas/unlimited access to services the offer of CREODIAS platform is the solution. In this study an example of such a (pre)commercial service will be presented which publishes Copernicus Sentinel-1 and Sentinel-2 products (and selected assets) in the form of a WMS (Web Map Service) and WCS (Web Coverage Service). The architecture of the services based on the Kubernetes cluster allows horizontal scaling of a service along with a number of users requests. The WMS/WCS services to be presented combine data discovery, access, (pre)-processing, publishing (rendering) and dissemination capabilities available within a single RESTful (Representational state transfer) query. This gives a user great flexibility in terms of on-the-fly data extraction across a specific AOI (Area Of Interest), mosaicing, reprojection, simple band processing (cloud masking, normalized difference vegetation), rendering. The performance of the Copernicus Data Space Ecosystem and CREODIAS platform combined with the efficient software (Postgres 16 with PostGIS extension, MapServer with GDAL backend) allows to achieve WMS/WCS service response time below 1 second on average. This in turn, gives a potential for massive parallelization of the computations given the horizontal scaling of the Kubernetes cluster. The work demonstrates the capabilities of European data processed using open software deployed on European cloud-based Ecosystem in form of CDSE. Marcin Niemyjski Michał Bojko https://talks.osgeo.org/foss4g-europe-2024/talk/Z7JUBT/ Room: Destination Earth (Van46 ring) @ 04.07.2024 14:30:00 #foss4ge2024 #GeneralTrack #UseCasesApplications #EuropeanTrackhttps://video.osgeo.org/videos/embed/0124022d-4ff5-41aa-ad25-e1a34811c1e6https://video.osgeo.org/w/jPohoeoxPakmMTJnJk9jCPhttps://video.osgeo.org/lazy-static/thumbnails/ea3f900c-d37d-46a3-bc01-39299e04b2aa.jpgFOSS4GE 2024 | Destination Earth Data Lake (DEDL) – discovery, access and process dataDestination Earth initiative (DestinE), driven by the European Organisation for the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT), the European Space Agency (ESA) and the European Centre for Medium-Range Weather Forecasts (ECMWF) aims to create a highly accurate replica - Digital Twin - of the Earth. The first two existing Digital Twins describe weather-induced and geophysical extremes, as well as climate change adaptation. Ine the next years, the number of Digital Twins is going to be grown. Thus, to develop new models, there is a high need to facilitate access to data and ways of working with data.. This is made possible by one of three key DestinE’s elements - Destination Earth Data Lake (DEDL) which provides open discovery, access, and big data processing services. DEDL Discovery and Data Access services is provided by Harmonized Data Access (HDA) tool which provides a single, federated entry point to the services and data. The DestinE Data Lake federates with existing data holdings as well as with complementary data from diverse sources like in-situ, socio-economic, or space data. And very importantly, it provides access to data generated by DestinE Digital Twins All this allows for exploration, combination and assimilation of data shared by existing services with innovative Digital Twins data. What is more, all this data is provided as a full archive immediately available to the user. The services rely on use of the SpatioTemporal Asset Catalogs (STAC) standard which means: • The search in the dataset is done according to the STAC protocol; • The Federated Catalog Search Proxy component converts STAC queries into queries adapted to the underlying catalog and returns the results to the user in STAC format; • The services are presented in service catalog. Thus, exploring through the datasets and work with data provided by DEDL is user-friendly as well as adapted to the newest trends and requirements. Big Da...https://video.osgeo.org/videos/embed/98622f64-b0ca-4794-aa86-075e6e8b83cfhttps://video.osgeo.org/w/cPPoLsQAkDWvgMEDg4NqFzhttps://video.osgeo.org/lazy-static/thumbnails/8bbe2d3c-6436-46c6-a260-4021aa1a271b.jpgFOSS4GE 2024 | CITY TRANSPORT ANALYZER: A POWERFUL QGIS PLUGIN FOR PUBLIC TRANSPORT ...Mobility is one of the main factors affecting urban environmental performances. Car dependency is still widespread worldwide and integrated planning approaches are needed to exploit the potential of active and shared mobility solutions, making them an effective alternative to the use of private vehicles. The analysis and optimization of public transportation (PT) services have so become increasingly important in the planning and management of urban infrastructure. This work aims to develop and implement a QGIS plug-in for analyzing urban PT networks, assessing the accessibility and intermodality dimensions, relying on General Transit Feed Specification (GTFS) data as source of information. GTFS is a standardized format for PT schedules and geographic information. It defines a common format for transit agencies to share their data, making it possible for developers to create applications that provide accurate and up-to-date information about services. This standard was chosen because it is one of the most popular and widely used, especially when the data are used for static type analysis. The information extracted mainly concerns PT stops, routes and nodes preparatory to route construction and connection. All data belonging to the geospatial standard, in order to be usable by GIS software, must be extracted, interpreted and converted to a GIS layer. Specifically, all information regarding stops and routes was extracted to obtain a vector layer for each type of data. Going deeper, one of the most important layers concerns that of the PT routes, as it shows the entire urban network, obtained by converting the data within a graph data structure using NetworkX, a library for the creation, management and manipulation of complex networks, including graphs. This graph was created following a personal interpretation with the aim of facilitating the achievement of our purpose. to facilitate the achievement of our purpose, it was decided to model the edges of the graph in ...https://video.osgeo.org/videos/embed/5fc1b06b-006d-4a1a-bd7b-588231356057https://video.osgeo.org/w/88F83DAXNTuTiPj8Dp93cdhttps://video.osgeo.org/lazy-static/thumbnails/edb0f64b-cc83-41a6-be17-99ed3a95596c.jpgFOSS4GE 2024 | Benefits and pitfalls of emotional and mobility web mappingThe popularity of participative mapping continuously grows and is becoming an essential tool to involve citizens in urban planning, architectural solutions and transport design. Citizens can quickly and easily review proposals and variants, explore models and visualizations, express their opinions, pin comments, and vote on their favourites (Ribeiro and Ribeiro 2016). Emotional maps and similar mapping tools are frequently used in Czechia, especially for mapping citizens' attitudes towards both physical and social features of the urban environment. Quantitative assessment of mapping results can help urban planners better understand citizens' perception and improve the targeting of planned measures (Camara, Camboim, and Bravo 2021). Discussion sometimes arises about the validity of such mapping, complementarity or substitution of traditional questionnaire surveys. The objective of the paper is to discuss benefits and weaknesses of such tools and to compare them with questionnaire surveys. The case study is focused on two middle-sized Czech cities, Ostrava (OV) and Hradec Kralove (HK), and selected rural municipalities in their surroundings. Participants are all seniors (age 65+) due to the project aim of understanding seniors' spatial mobility, accessibility and perception. The questionnaire survey was conducted in 2022 by the Research Agency STEM/MARK (n=536, PAPI method 86%, CAWI method 14%). Quota sampling used stratification by age, gender, territory, and urbanization based on census data. At the same time, two web map applications were launched - the emotional and mobility maps. We used the platform EmotionalMaps.eu which utilizes a Leaflet library (Pánek et al. 2021). In the map application, respondents indicate their age group and health limitations, and mark one or more locations: attractive locations, repulsive locations, barriers to movement, attractive paths, repulsive paths, and approximate residence location. Each marked target can be further specifi...https://video.osgeo.org/videos/embed/39c24956-8960-420e-a0cb-2ed39c77a862https://video.osgeo.org/w/sip2rXuncB4pgQVVS2J6y5https://video.osgeo.org/lazy-static/thumbnails/9a796822-5b46-475b-8a56-5e3c9bb3f0c8.jpgFOSS4GE 2024 | Advancing water productivity monitoring: Waplugin for the analysis and ...Remote sensing data have become indispensable for monitoring water resources and agricultural activities worldwide, offering comprehensive spatial and temporal information critical for understanding water availability, agricultural productivity, and environmental sustainability (Karthikeyan et al., 2020). The FAO Water Productivity Open Access Portal (WaPOR), developed by the Food and Agriculture Organization of the United Nations (FAO), provides extensive datasets derived from remotely sensed data (FAO, 2019). These datasets play a crucial role in water productivity monitoring, especially in regions facing water scarcity and intensive agricultural activity. However, the manual extraction and importation of WaPOR datasets from the WaPOR platform can be time-consuming and complex. Users typically navigate the platform to locate specific datasets, download the files, and then import them into their preferred Geographic Information System (GIS), such as QGIS. This process often requires users to repeat these steps for multiple datasets, consuming a significant amount of time. Additionally, ensuring the accuracy and reliability of remotely sensed data, including WaPOR datasets, requires validation against ground-based measurements (Wu et al., 2019). This validation process involves evaluating the correlation between remote sensing data and ground measurements to determine their suitability for further analysis and decision-making. However, this process involves a complex workflow and often requires multiple tools and software programs, further increasing the time and effort needed to process and analyze the data. To address these challenges comprehensively, we developed WAPlugin, a comprehensive solution designed to streamline the entire process of accessing and analyzing FAO WaPOR datasets within the QGIS environment. WAPlugin is a user-friendly plugin that automates the retrieval of WaPOR datasets directly from the WaPOR platform, eliminating the need for users to ...https://video.osgeo.org/videos/embed/d4fb705a-b1b8-4969-a085-f6646c2d8b98https://video.osgeo.org/w/v7WrrCh2yTLWaStrCm9WZwhttps://video.osgeo.org/lazy-static/thumbnails/c9ffcab6-744e-4b67-836f-fc7414af534e.jpgFOSS4GE 2024 | Does open data open new horizons in urban planning?The aim of this study is to provide a comprehensive view of the issue of open data in Czech cities and thus give the world community an insight into the state of open data in the Czech Republic. It serves as a basis for further research and implementation of open data in urban planning. Its results can be used not only for the benefit of the professional community but can also serve as a basis for decision-making by city authorities in the planning and development of urban space. The open data are therefore integral part of developing smart cities (Ojo, Curry, Zeleti, 2015). This extensive study deals with the issue of the availability of open data in Czech cities and to what extent are they used use in the framework of urban planning and development of urban space. In the context of rapid digitization and technological progress, open data is becoming increasingly important for the effective management and design of urban infrastructure. This study systematically analyses the current state of open data in Czech cities, identifies key aspects of their availability and examines their potential applications in urban planning. The study focuses in more detail on Brno, which is the second largest city in the Czech Republic and provides freely available data on its website data.brno.cz. The first part of the study focuses on the theoretical framework of open data and its significance for modern urban planning. The basic principles of open data are introduced, including the standards and formats currently in use. The advantages of open data in the context of transparent decision-making, citizen participation and sustainable urban development are also discussed. In the Czech Republic, the possibilities of providing and using open data has been more and more discussed in the last ten years, especially at the level of data from state organizations. Nevertheless, the term open data is not understood in the same way by all organizations, when for example PDF format is cons...https://video.osgeo.org/videos/embed/ebd10863-ae87-4557-81bf-47b99dfb0f60https://video.osgeo.org/w/nwoUGRRaL7wAjpv56BYH6ehttps://video.osgeo.org/lazy-static/thumbnails/07e6e94e-b47d-498f-90ae-b4794cf308c0.jpgFOSS4GE 2024 | Bridging geomatics theory to real-world applications in alpine surveys through ...Applying skills gained from university courses marks a pivotal step in crafting engaging teaching methods. Including practical activities in higher education programs plays a crucial role in knowledge transfer, especially in geomatics (Tucci et al., 2020). Moreover, engaging groups of students along the entire process of in-situ survey design, data collection, management, processing and results preparation furtherly foster their responsibility as well as the awareness of the technologies adopted, actively understanding their limitations and potentials (Balletti et al., 2023). In recent years, STEM and geomatics have seen a growing number of learning experiences based on open knowledge (Gaspari et al, 2021, https://machine-learning-in-glaciology-workshop.github.io/, Potůčková et al., 2023). In this context, this work is presenting an innovative teaching experience framed in the mountainous environment of the Italian Alps describing the structure of the course and the potential of open geo education in geomatics. Since 2016, the Geodesy and Geomatics Section of the Department of Civil and Environmental Engineering of Politecnico di Milano organised a Summer School for Engineering, Geoinformatics and Architecture Bachelor and Master students consistently aimed to bridge the divide between theory and practice. The Summer School is framed within a long-term monitoring activity of the Belvedere Glacier (https://labmgf.dica.polimi.it/projects/belvedere/), a temperate debris-covered alpine glacier, located in the Anzasca Valley (Italy), where annual in-situ GNSS and UAV photogrammetry surveys have been performed since 2015 to derive accurate and complete 3D models of the entire glacier, allowing the derivation of its velocity and volume variations over the last decade. In a week-long program, students are encouraged to collaborate, with the supervision of young tutors passionate about the topic, to develop effective strategies for designing and executing topographic s...https://video.osgeo.org/videos/embed/ae4e57cb-561c-4d3d-a8f8-95f4aca19683https://video.osgeo.org/w/c1GYtfn9ub29HzE6vDEHe7https://video.osgeo.org/lazy-static/thumbnails/90be71bb-3c5d-4079-b914-29fddf3a8273.jpgFOSS4GE 2024 | MOOC Cubes and Clouds - Cloud Native Open Data Sciences for Earth Observation*Motivation:* The Massive Open Online Course (MOOC) "Cubes and Clouds" teaches the concepts of data cubes, cloud platforms, and open science in the context of Earth Observation (EO). The course is designed to bridge the gap between relevant technological advancements and best practices and existing educational material. Successful participants will have acquired the necessary skills to work and engage themselves in a community adhering to the latest developments in the geospatial and EO world. *Target group:* The target group are earth science students, researchers, and data scientists who want to dive into the newest standards in EO cloud computing and open science. The course is designed as a MOOC that explains the concepts of cloud native EO and open science by applying them to a typical EO workflow from data discovery, data processing up to sharing the results in an open and FAIR way. *Content:* This MOOC is an open learning experience relying on a mixture of animated lecture content and hands-on coding exercises created together with community renowned experts. The course is structured into three main chapters Concepts, Discovery and Process and Share. The degree of interaction (e.g. hands-on coding exercises) is gradually increasing throughout the course. The theoretical basics are taught in the first chapter Concepts, comprising cloud platforms, data cubes and open science practices. In the second chapter the focus is on discovery of data and processes and the role of metadata in EO. In the final chapter the participants carry out complete processing workflows on cloud infrastructure and apply open science practices to the produced results. Every lesson is concluded with a quiz, ensuring that the content has been understood. The course contains 13 written lectures that convey the basic knowledge and theoretical concepts, 13 videos which have been created with a professional communication team and in collaboration with a leading expert on the topic and...https://video.osgeo.org/videos/embed/592dc6b1-abea-4055-a432-35f317e2975chttps://video.osgeo.org/w/renaQ1iT5UuyZA83BuVQXQhttps://video.osgeo.org/lazy-static/thumbnails/e3639bd9-30e7-4551-9878-a2a6c1492117.jpgFOSS4GE 2024 | Comparing spatial patterns in raster data using RSpatial pattern is an inherent property visible in many spatial variables. Spatial patterns are often at the heart of many geographical studies, where we search for existing hot spots, correlations, and outliers. They may be exhibited in various forms, depending on the type of data and the underlying processes that generated the data. Here, we will focus on spatial patterns in spatial rasters, but the concept can be extended to other types of spatial data, including vector data and point clouds. Patterns in spatial raster data may have many forms. We may think of spatial patterns for continuous rasters as an interplay between intensity and spatial autocorrelation (e.g., elevation) or between composition and configuration for categorical rasters (e.g., land cover) (Gustafson, 1998). Intensity relates to the range and distribution of values of a given variable, while spatial autocorrelation is a tendency for nearby values of a given variable to be more similar than those that are further apart. On the other hand, composition is the number of cells belonging to each map category, while configuration represents their spatial arrangement. Another distinction is between the data dimensionality. The most common situation is when we only use one layer of given data (e.g., an elevation map or a land cover product for one year). However, we may also be interested in sets of variables (layers, bands), such as hyperspectral data, time series, or proportions of classes. An additional special case is the RGB representation of the data. Assessing the similarity of spatial patterns is a common task in many fields, including remote sensing, ecology, and geology. This procedure may encapsulate many types of comparisons: comparing the same variable(s) for different areas, comparing different datasets (e.g., different sensors), or comparing the same area but at different times. Given various possible scientific questions and the fact that we have a plethora of forms of spatial ...https://video.osgeo.org/videos/embed/cc522e80-1cd2-4763-ab9b-b6a35dc8f24ehttps://video.osgeo.org/w/bDnHTtA8JUnWjZ4nKaWcSAhttps://video.osgeo.org/lazy-static/thumbnails/be8a549a-9f72-4505-8b13-7874b52a4115.jpgFOSS4GE 2024 | Digital Twins: Metropolitan Cooperation Platform and Underground NetworkDigital twins and 3D are becoming increasingly important for planning, data diffusion and decision-making. Several projects are currently underway at Camptocamp, in collaboration with Virtual City Systems and Cesium. We will present two very different use cases: developments around Rennes Métropole and the underground network for the SUEZ project. Rennes Métropole In a context of digital transition and the increasing availability of urban data, Rennes Métropole wishes to better equip its decisions and public policies on the basis of data and cooperation. Ultimately, the goal is to promote cooperation and the contribution of the different actors and "enlighten" public decisions and policies, in particular the democratic, ecological and energy transition projects. Issues of transparency, public service efficiency and cost control are also sought. The platform is developed partly on VC Map which is an Open-Source JavaScript framework and API for building dynamic and interactive maps on the web. It can display 2D data, oblique imagery and massive 3D data including terrain data, vector data, mesh models, and point clouds making it easy for users to explore and interact with the data in an integrated and high-performance map application. VC Map is built upon open, proven, and reliable GIS and web technologies such as OpenLayers and Cesium for the visualization of 2D and 3D geo-data. A particular effort was made on the design in order to offer users, mainly citizens, a pleasant user experience that allows an exploration of the development projects of the metropole in 2D and 3D. We will present the cooperation platform through three use cases of interest for Rennes Metropole : simulation of the photovoltaic production potential, linear transport systems and exposure to electromagnetic waves. SUEZ As part of its work in the field of water management, SUEZ has a number of requirements for 3D data visualization, particularly for underground data. The project focuses ...https://video.osgeo.org/videos/embed/56334af9-8ce1-4d30-9507-2d0e3e0727a2https://video.osgeo.org/w/gZaVwCFPQkgqGt3meLhk2bhttps://video.osgeo.org/lazy-static/thumbnails/e0a54790-4a9b-4974-8201-2b0fd630ae28.jpgFOSS4GE 2024 | State of PDALPDAL is Point Data Abstraction Library. It is a C/C++ open source library and applications for translating and processing point cloud data. It is not limited to LiDAR data, although the focus and impetus for many of the tools in the library have their origins in LiDAR. PDAL allows you to compose operations on point clouds into pipelines of stages. These pipelines can be written in a declarative JSON syntax or constructed using the available API. This talk will focus on the current state of the PDAL Pointcloud processing library and related projects such as COPC and Entwine, for pointcloud processing. Coverage of the most common filters, readers and writers along with some general introduction on the library, coverage of processing models, language bindings and command line based batch processing. First part will be covering new features for current users. Some discussion of installation method including Docker, binaries from package repositories, and Conda packaging. For more info see https://pdal.io Michael Smith https://talks.osgeo.org/foss4g-europe-2024/talk/ZSDWYS/ Room: QFieldCloud (246) @ 04.07.2024 10:30:00 #foss4ge2024 #GeneralTrack #StateOfSoftwarehttps://video.osgeo.org/videos/embed/81749709-d331-4f74-ad83-c1ce08f49950https://video.osgeo.org/w/pTMR4EDu29Cidit3K5Grkrhttps://video.osgeo.org/lazy-static/thumbnails/9bb9580c-18b6-4c06-921a-7c8e99f6e35e.jpgFOSS4GE 2024 | All MapLibre projects, present and future, in one status updatePresent everything MapLibre community has been working on, including tile serving, fonts and sprite handling, to visualizations for both web and native, to new types of tools and format standards. Yuri Astrakhan https://talks.osgeo.org/foss4g-europe-2024/talk/TRVMHY/ Room: LAStools (327) @ 04.07.2024 12:00:00 #foss4ge2024 #GeneralTrack #StateOfSoftwarehttps://video.osgeo.org/videos/embed/c17d6000-040a-40eb-b5db-aaeca1eeee4bhttps://video.osgeo.org/w/sJqN4A42h3vUCFLyi2L1xvhttps://video.osgeo.org/lazy-static/thumbnails/ff602009-ab13-4705-8bb7-8d143bc20d07.jpgFOSS4GE 2024 | Mapbender 4.0 - create applications for your needs with the new versionMapbender is a great open source solutions for creating intuitive and high-performance WebGIS applications. Mapbender offers a set of tools that you can combine. This software solution enables users to quickly and easily publish applications online without having to write a single line of code. Mapbender improved a lot. With the new version we have a refactored design and many new or improved features. You can integrated your WMS Services and confirgure them individually. You can manage access rights for applications. Astrid Emde https://talks.osgeo.org/foss4g-europe-2024/talk/YMU3UV/ Room: LAStools (327) @ 04.07.2024 11:30:00 #foss4ge2024 #GeneralTrack #StateOfSoftwarehttps://video.osgeo.org/videos/embed/d87a1f9a-66f0-494b-969e-80199936bfb3https://video.osgeo.org/w/9QUnAEuPWRDsM2zeYQXPTehttps://video.osgeo.org/lazy-static/thumbnails/733f3bd0-6136-454a-9ac2-6d6d21d646f3.jpgFOSS4GE 2024 | Terra Draw: A web map drawing library for 2024Terra Draw is an open source JavaScript library for building frictionless drawing and editing tools for web maps. The project was founded in June 2023 and has been building momentum since then, with over 57 releases. The library provides a selection builtin in modes, for drawing geometries like Point, Line and Polygon and a supports several well known mapping libraries out the box via the adapter pattern, including open source favourites like MapLibre, Leaflet and OpenLayers. In this talk, we will demonstrate the purpose and benefit of using Terra Draw in your web mapping projects, with the libraries useful out the box functionality. We will cover how to execute on common patterns that geo developers often face in their day to day work. The talk will further delve into how the library supports extension, allowing developers to write their own modes and adapters and also configure Terra Draw's deep styling options to keep your mapping tools looking fresh. Finally, the talk will aim to provide a summary of how Terra Draw has improved in the last year, for people who have already been following the project and want to get insight over what has changed since FOSS4G 2023 in Kosovo. James Milner https://talks.osgeo.org/foss4g-europe-2024/talk/FH8R7J/ Room: LAStools (327) @ 04.07.2024 11:00:00 #foss4ge2024 #GeneralTrack #StateOfSoftwarehttps://video.osgeo.org/videos/embed/479d15fb-0896-4db4-b7a2-ebc341a3608fhttps://video.osgeo.org/w/7pnabMCbopbR7q5wYRZ5ahhttps://video.osgeo.org/lazy-static/thumbnails/46c40ad0-75dc-449e-bc07-42140e0965c6.jpgFOSS4GE 2024 | Creating Interoperable Tiled MapsTiled maps are the backbone of most web applications that show geospatial information. Before OGC API - Tiles was approved, last year, there was not really an interoperable way of creating these maps using a resource oriented architecture and JSON encodings. OGC API - Tiles puts some formality to what people have been doing for years, with 'xyz' tilesets, but it also enables the clients to create a better user experience, by providing metadata, such as title, description or available zoom levels. In this talk we'll provide an overview of this standard, and discuss its advantages, when compared to other standards/specifications, like WMTS or TileJSON. We'll illustrate the benefits of interoperability, with an example that uses FOSS4G software implementing OGC API - Tiles. Finally, we'll point out some resources, available to anyone who wishes to develop and validate an OGC API - Tiles implementation. Joana Simoes https://talks.osgeo.org/foss4g-europe-2024/talk/E37APS/ Room: LAStools (327) @ 04.07.2024 10:30:00 #foss4ge2024 #GeneralTrack #OpenStandardsAndInteroperabilityForGeospatialhttps://video.osgeo.org/videos/embed/33d9fa5d-2c8e-478e-bc7a-ffc77d858222https://video.osgeo.org/w/1Xuw6W9MuohhMRN2hudotfhttps://video.osgeo.org/lazy-static/thumbnails/278518aa-f347-4c12-9ff8-7ae8272b6f9c.jpgFOSS4GE 2024 | G3W-SUITE and QGIS integration: state of the art, latest developments and future ...G3W-SUITE is a modular, client-server application (based on QGIS-Server) for managing and publishing interactive QGIS cartographic projects of various kinds in a totally independent, simple and fast way. Accessing administration, consultation of projects, editing functions and use of different modules are based on a hierarchic system of user profiling, open to editing and modulation. The suite is made up of two main components: G3W-ADMIN (based on Django and Python) as the web administration interface and G3W-CLIENT (based on OpenLayer and Vue) as the cartographic client that communicate through a series of API REST. The application, released on GitHub with Mozilla Public Licence 2.0, is compatible with QGIS LTR versions and it is based on strong integration with the QGIS API. This presentation will provide a brief history of the application and insights into key project developments over the past year. The developments affected both the administration and management component of the exposed WebGis services, both the aspects of interaction with web maps and their contents, as well as the aspects and functions related to online editing through integration with the QGIS API. A specific development, specifically covered in another submission, concerns the integration with the QGIS Processing API in order to migrate the analysis models, created in QGIS via the ModelDesigner, to a web environment. The talk, accompanied by examples of application of the features, is dedicated to both developers and users of various levels who want to manage their cartographic infrastructure based on QGIS. Walter Lorenzetti https://talks.osgeo.org/foss4g-europe-2024/talk/EA7TMX/ Room: GEOCAT (301) @ 04.07.2024 12:00:00 #foss4ge2024 #GeneralTrack #StateOfSoftwarehttps://video.osgeo.org/videos/embed/07bf7b99-87d1-41d9-950e-2b3513a11524https://video.osgeo.org/w/odJynKS9LeposFp1btc3V3https://video.osgeo.org/lazy-static/thumbnails/fa1ab025-3b56-421c-b290-032dfdd0dfdb.jpgFOSS4GE 2024 | Scalable geospatial processing using dask and mapcheteDask is a flexible parallel computing library that seamlessly integrates with popular Python data science tools. With its task graph and parallel computation capabilities, Dask excels in managing large-scale computations on both the local machine as well as on a computing cluster. Mapchete, an open-source Python library, specialises in parallelizing geospatial raster and vector processing tasks. Its strengths lie in its ability to efficiently tile and process geospatial data, making it a valuable asset for handling vast datasets such as satellite imagery, elevation models, and land cover classifications. This talk delves into the integration of these two technologies, showcasing how their combined capabilities can be used to conduct large-scale processing of geospatial data. It will also show how we at EOX are currently deploying our infrastructure and which challenges we face when using it to process the cloudless satellite mosaics under the EOxCloudless product umbrella. Joachim Ungar https://talks.osgeo.org/foss4g-europe-2024/talk/CZTZ3F/ Room: GEOCAT (301) @ 04.07.2024 11:30:00 #foss4ge2024 #GeneralTrack #UseCasesApplicationshttps://video.osgeo.org/videos/embed/b3f03403-6b2e-4920-ae8b-c4f33f117b74https://video.osgeo.org/w/cJGBbEDcNNTzXPGAo6n8P6https://video.osgeo.org/lazy-static/thumbnails/72e9a1fd-a47d-4fd1-a3ef-bb2bb4138ac4.jpgFOSS4GE 2024 | Serving earth observation data with GeoServer: COG, STAC, OpenSearch and more...Never before have we had such a rich collection of satellite imagery available to both companies and the general public. Between missions such as Landsat 8 and Sentinels and the explosion of cubesats, as well as the free availability of worldwide data from the European Copernicus program and from Drones, a veritable flood of data is made available for everyday usage. Managing, locating and displaying such a large volume of satellite images can be challenging. Join this presentation to learn how GeoServer can help with with that job, with real world examples, including: * Indexing and locating images using The OpenSearch for EO and STAC protocols * Managing large volumes of satellite images, in an efficient and cost effective way, using Cloud Optimized GeoTIFFs. * Visualize mosaics of images, creating composite with the right set of views (filtering), in the desired stacking order (color on top, most recent on top, less cloudy on top, your choice) * Perform both small and large extractions of imagery using the WCS and WPS protocols * Generate and view time based animations of the above mosaics, in a period of interest * Perform band algebra operations using Jiffle Attend this talk to get a good update on the latest GeoServer capabilities in the Earth Observation field. Andrea Aime https://talks.osgeo.org/foss4g-europe-2024/talk/8MHVHB/ Room: GEOCAT (301) @ 04.07.2024 11:00:00 #foss4ge2024 #GeneralTrack #UseCasesApplicationshttps://video.osgeo.org/videos/embed/5f0ac9cf-34b8-4fab-8a43-93360c52627fhttps://video.osgeo.org/w/9WMSpQdWBfHS8kugipyjFShttps://video.osgeo.org/lazy-static/thumbnails/4bd0f585-2be9-42b5-a155-d2c865ce5640.jpgFOSS4GE 2024 | What's up in Space?There is so much happening on Earth but also in Space, New Space, new constellations of Satelltes with Optical and SAR capabilities, Earth Observation Open Data Programs, Platforms facilitating access to petabytes of data, ESA Network of Resources, ESABIC, Europe's future Space ports preparing to launching rockets and so much more. In this talk, I want to share what is happening today in the New Space Industry, which companies are launching Satellites and developing new sensors, how "space buses" are supporting reducing Satellite costs and making Space Data costs even more accessible, how Platforms are a way to facilitate the access of all this Data available and also how these sensors have a variety of applications of EO. In the last five years, I have collaborated doing Partnerships with more than 80 Satellite and Geospatial organizations and I would like to share some things I have learned. Last year in the talk I gave in FOSS4G Kosovo, "Unlocking the potential of Earth Observation combining Optical and SAR data" I realized how useful it could be a talk about the current state of Earth Observation, most of the FOSS4G attendees were very knowledgeable about the Copernicus and Landsat programs but there is so much more happening in the New Space Industry where several commercial companies are also committed with Open Data programs so they can help organizations to build more solutions and keep supporting startups, research and education in this brilliant field. Working in space has been a dream since my childhood when I was living in the middle of the rainforest in Veracruz, Mexico I fell in love with Space by watching Carl Sagan's Cosmos TV series and a local kids' TV show with a Planetary rocket named "Popotito 22" which traveled through time and Space. Several decades later I still remember Carl Sagan's words speaking in Mexican Spanish and explaining the wonders of our Pale Blue Dot, this love took me to the Earth Observation field which I am grateful t...https://video.osgeo.org/videos/embed/486f8a6d-4733-4510-bf08-8896a0c33360https://video.osgeo.org/w/432ii4tanj4uEyQ2jqi1hThttps://video.osgeo.org/lazy-static/thumbnails/71137458-2b3e-4fc7-b7f5-8412df463ef0.jpgFOSS4GE 2024 | Analyzing Charging and Petrol Station Distribution with FOSS4G: Implications for ...The global transition towards sustainable energy sources, particularly in the transportation sector, has sparked significant interest in understanding the distribution patterns of electric vehicle (EV) infrastructure compared to traditional petrol stations. Leveraging the wealth of openly available geospatial data through platforms like OpenStreetMap (OSM) and routing engines such as OpenRouteService (ORS), this presentation explores the disparities in the distribution of electric columns and petrol stations across different European regions. Moreover, it delves into the potential of utilizing open data to monitor the energy transition's evolution and its implications for societal perception and awareness. With the growing richness of OpenStreetMap data about transportation infrastructure, researchers and practitioners have unprecedented access to detailed information about electric vehicle charging stations and traditional petrol stations. This study harnesses this data to conduct a comparative analysis of their spatial distribution across various European regions. By leveraging the capabilities of OpenRouteService, we perform analyses to evaluate the accessibility and coverage of both types of refuelling infrastructure, shedding light on potential gaps and disparities in their distribution. Furthermore, this research underscores open data's significance in monitoring the energy transition progress in different European regions. The diffusion of the charging station follows different paths in Europe. Initially, charging stations were sparsely distributed, primarily concentrated in urban areas and along major transportation routes. However, a discernible discrepancy can be observed in the evolution of charging station networks across Europe in recent years. While some regions have accelerated their efforts to expand and enhance charging infrastructure, others still need to catch up, resulting in an uneven distribution of charging stations across the continent. ...https://video.osgeo.org/videos/embed/1893b41b-c259-481e-850b-fc3bc74a617bhttps://video.osgeo.org/w/rKAc2ZFmittzWeX7JXcHphhttps://video.osgeo.org/lazy-static/thumbnails/09ae2d23-d332-44dd-b27d-19bdb9f8735f.jpgFOSS4GE 2024 | Transition from one INSPIRE metadata standard to another and move from ...National Land Survey of Finland has used GeoNetwork https://www.geonetwork-opensource.org/ for more than a decade to provide spatial data and service providers in Finland a platform for maintenance of their metadata. More than a hundred user groups have described spatial data sets and services in the metadata catalogue, which is called Paikkatietohakemisto https://www.paikkatietohakemisto.fi/geonetwork/srv/fin/catalog.search#/home. The metadata published are widely reused in other web sites and services, such as https://www.opendata.fi/en. If you want to learn from our experiences, come and listen to this presentation during which we'll tell you: - How we managed to transfer from one INSPIRE metadata standard to another in co-operation with data providers and - How we by summer 2024 managed to transfer from GN version 3.12 to 4, summarising the challenges and opportunities we faced. Lena Hallin-Pihlatie https://talks.osgeo.org/foss4g-europe-2024/talk/WA3AD9/ Room: Destination Earth (Van46 ring) @ 04.07.2024 11:30:00 #foss4ge2024 #GeneralTrack #UseCasesApplications #EuropeanTrackhttps://video.osgeo.org/videos/embed/d08a84e3-a798-4ed8-a03f-dfd9e9257672https://video.osgeo.org/w/8mNc7cSuFq3k6viXupfh5Shttps://video.osgeo.org/lazy-static/thumbnails/c59b516a-decb-4e18-b0cd-b68d964aa73c.jpgFOSS4GE 2024 | Why would you need open data from National Mapping Agencies?There are excellent global open datasets available, like OpenStreetMap, Natural Earth and others, but it is often beneficial to use smaller, local datasets for reasons like coherency, completeness, and regional specialities. National Mapping Agencies (NMAs) are organisations in government structures that produce authoritative geospatial data and maps for a country or region. In Europe, there is continuing trend to make data produced in public sector available as open data and many spatial datasets from numerous countries (mapping agencies) are also available as open data. Most NMAs do not limit their work and available data to classical map products and operate also in related fields: land cadastre, geodesy, addresses and place names, to name a few. It is good to know about the existence of such geospatial datasets also, especially if made available as open data and services, as these could be very useful to many projects. Additionally, the sources of modern country-level mapping (aerial and terrestrial imagery, lidar point clouds, etc.) are useful not only for national mapping programs but also for wide range of other applications and use cases. Estonian Land Board is one of the European NMAs sharing its produced data openly. In this talk we take a look at data samples from Estonia and elsewhere: what is available, how to find it and in which file formats/services the data is distributed. Additional tips are given towards Pan-European initiatives (EuroGeographics, GeoE3, etc.) and regulations (INSPIRE, Open data Directive, etc.) that aim to make data from each country more openly and uniformly interoperable and accessible, thus providing potential value-added service to end users who need similar data from several European countries. Hanno Kuus https://talks.osgeo.org/foss4g-europe-2024/talk/7CALZS/ Room: Destination Earth (Van46 ring) @ 04.07.2024 11:00:00 #foss4ge2024 #GeneralTrack #OpenData #EuropeanTrackhttps://video.osgeo.org/videos/embed/3b975002-d12e-4cbe-8604-1d7d769370bahttps://video.osgeo.org/w/bt8wEdcimVCqZ2KHMCUzyphttps://video.osgeo.org/lazy-static/thumbnails/01b66bfd-3132-4750-a2b4-25fbcec8202b.jpgFOSS4GE 2024 | Semantic annotation and classification of EU tendering data on open geospatial ...Tenders Electronic Daily (TED) is the platform where all public tenders published in European Union (EU) Member States and European institutions are accessible. With approximately 520,000 public procurement notices published per year that are worth more than €420 billion, TED is a cornerstone of EU public procurement. The TED database is available as open data, providing an extremely interesting source for in-depth analysis on public procurements in the EU. We developed an application that – based on an extraction of the TED database for two years (2021 and 2022) – allows users to: i) automatically label TED documents using GPT; ii) visualise the labels generated by GPT for all documents and manually correct them; iii) use the corrected labels to train a Support Vector Machine (SVM) Machine Learning classifier; and iv) assess the classification accuracy. The application supports an iterative process of re-labelling (using GPT) and re-training the SVM classifier until the expected classification performance is reached and the classifier can be applied to the whole TED dataset. In addition to the progressive improvement of the Machine Learning classifier through the controlled cycle of iterations, the benefits of this approach include user involvement in the correction/enrichment of labels and flexibility in adapting to the specific needs of the datasets and domain – the latter meaning that applicability is not limited to the TED database. Inclusion of the TED database for 2023 is currently ongoing; similarly, a dedicated UI is currently under development to provide a user-friendly access to the application. The use case investigates the degree to which EU public procurements are relevant to open source geospatial software, open geospatial standards and open geospatial data. To this purpose, for each of the three categories a specific set of keywords was initially listed; this was then complemented by a series of similar keywords retrieved through a semantic text ...https://video.osgeo.org/videos/embed/54c51ba9-7508-4452-bb35-2282c3316b3bhttps://video.osgeo.org/w/gUa8B1PSAHrbA4p6p5asaDhttps://video.osgeo.org/lazy-static/thumbnails/2974abb9-94cc-40e0-9ef4-7a89106cf4e0.jpgFOSS4GE 2024 | Leading with Open Source: Driving Innovation from Ground to SpaceOver the past fifty years, space technology has dramatically expanded our knowledge of Earth’s systems. Today, the challenge is to utilize the wealth of technology and big data from space to address pressing global challenges like climate change effectively. The mature open-source ecosystem, long recognized as a catalyst for innovation and collaboration, supports sustainable initiatives that transcend coding to encompass governance and community engagement. Practices such as transparent collaboration, community-driven development, and iterative innovation accelerate development and foster a sustainable, inclusive model for global cooperation. The frameworks used by open-source projects provide essential lessons for addressing complex global challenges like climate change, underscoring the imperative for open-source leaders to help adopt and maintain these practices in mainstream scientific, political and industrial innovation. This leadership is key to initiating significant grassroots transitions, enabling communities and individuals to engage meaningfully in broad-scale strategies. Together we will explore the role of the geospatial open-source innovation ecosystem as a collaborative endeavor linking policy, industry and society. This discussion will center on transitioning from Earth Observation Science and technology to impactful action. We will examine current hurdles and prospects of open-source innovation, connecting ecosystem-wide views to individual contributions. Highlighting open-source working practices, we aim to underscore the importance of fostering open-source leadership to encourage and spread grassroots innovations that empower communities. Stefanie Lumnitz https://talks.osgeo.org/foss4g-europe-2024/talk/UA9TJT/ Room: Destination Earth (Van46 ring) @ 04.07.2024 09:15:00 #foss4ge2024 #GeneralTrack #Keynotehttps://video.osgeo.org/videos/embed/80c16218-0511-4398-ada1-d39f300af09fhttps://video.osgeo.org/w/8auj4HpCye55DetAJNV6AShttps://video.osgeo.org/lazy-static/thumbnails/6bf30dd3-8f46-484f-8b0e-eb9ea4da42e3.jpgFOSS4GE 2024 | Insights on Earth Observation cloud platforms from a user experience viewpointThe European Strategy for Data aims at creating a single market for data sharing and exchange to increase the European Union’s (EU) global competitiveness and data sovereignty. Additionally, emphasis is put on the need to prioritize people's needs in technology development and to promote EU values and rights. The EU has largely invested in making data accessible. Examples of this are the Copernicus Programme, the Group on Earth Observation (GEO) intergovernmental partnership, and the Horizon 2020 and Horizon Europe funding programmes. In the scope of such programmes, several Earth Observation (EO) cloud platforms have been developed, providing access to data, tools and services for a wide range of users, including support to policymakers in developing evidence-based and data-driven policies. Typically, these platforms are an expression of very specific research communities with different sizes and scope, even niche in some cases, with various and -often under-represented- user needs, as opposed to more mainstream platforms with a wider user uptake. As a consequence, the current landscape of EO cloud platforms and infrastructures in the EU is rather fragmented, thus their potential is only partially exploited by users. We started our research by classifying existing infrastructures, identifying available good practices and highlighting the technological enablers, in order to point out and leverage the building blocks needed to improve the usability of such platforms (Di Leo et al., 2023). In this follow-up study, we seek to provide a user-centric perspective, aiming at identifying limitations in the current offer of EO cloud platforms by conducting a research study on user experience. We aim to propose good practices to improve both the platform design and functionalities by taking into account the user viewpoint. Our research questions are: • Does the current offer cover the entire development lifecycle? • What are the pain points / bottlenecks to address on the ...https://video.osgeo.org/videos/embed/3a031cb2-993b-4689-acd1-da90c54f5802https://video.osgeo.org/w/uRhDyEAkuSopyje5w8cwZrhttps://video.osgeo.org/lazy-static/thumbnails/9ab6b9a2-44b3-4507-964c-8a83a6cae547.jpgFOSS4GE 2024 | Mapping Soil Erosion Classes using Remote Sensing Data and Ensemble ModelsSoil loss by water erosion is projected to increase by 13 - 22.5% in the European Union (EU) and United Kingdom (UK) by 2050, leading to loss of cultivable land and soil structure degradation. Accurate mapping of soil erosion is crucial for identifying vulnerable areas and implementing sustainable land management practices. In this study, we introduce machine learning (ML) models to map soil erosion, leveraging their capabilities in categorical mapping. Unlike previous applications that primarily mapped the absence or presence of a soil erosion class, we propose an ensemble strategy using three ML ensemble models (CatBoost, LightGBM, XGBoost) with remote sensing data to map four classes of soil erosion (i.e No Gully/badland, Gully, Badland, Land-slides). The proposed model effectively captures spatiotemporal variations over Europe in the period of 2000 - 2022, with particular precision in mapping Land-slides. The proposed method advances soil erosion mapping across different spatial and temporal scales particularly in the EU, contributing to the development of targeted conservation strategies and sustainable land management practices. Ayomide Oraegbu Emmanuel Jolaiya https://talks.osgeo.org/foss4g-europe-2024/talk/JSMTZW/ Room: Omicum @ 03.07.2024 16:00:00 #foss4ge2024 #AcademicTrackhttps://video.osgeo.org/videos/embed/e9a19630-de57-4112-8b36-da7e7ba4baa3https://video.osgeo.org/w/omdMc5bhWSPXcAUsH1kMkEhttps://video.osgeo.org/lazy-static/thumbnails/03ac170b-150b-4af5-adb6-5498a7102da1.jpgFOSS4GE 2024 | SDI maintenance DevOps styleAt ISRIC - World Soil Information we increasingly maintain our data services through CI-CD pipelines configured via GIT. Both from the service as well as content perspective. The starting point are metadata records of our datasets being stored on GIT. With every change of a record, the relevant catalogues (pycsw) get updated and any relevant web services (mapserver) are updated. These pipelines are reproducable and there are never inconsistencies between catalogue content and the services. On top of that our users can directly report issues (or even improvement suggestions) through git. The stack is build on proven OSGeo components. A tool pyGeoDataCrawler brings the power of GDAL and pygeometa to CI-CD scripting. It crawls files on a folder and extracts relevant metadata, then prepares a mapserver configuration for that folder, while updating the metadata with the relevant service url's. Typical use cases for this stack are; a search interface to any file based data repository or a participatory data catalogue for a project. At the conference we hope to hear from you if any of these components could be relevant to your cases or if there are similar initiatives we can contribute to or benefit from. What's next? At ISRIC we receive and ingest a lot of soil data from partners. To harmonize this data is a huge effort. Via automated pipelines and interaction with the submitters via git comments, we hope to improve also this aspect of the data management cycle. Paul van Genuchten https://talks.osgeo.org/foss4g-europe-2024/talk/TEZQNV/ Room: QFieldCloud (246) @ 03.07.2024 16:30:00 #foss4ge2024 #GeneralTrack #UseCasesApplicationshttps://video.osgeo.org/videos/embed/b4fbcd25-7601-4bba-b584-795091bc13e0https://video.osgeo.org/w/nBLauKg1n4MrRTVmiXauEnhttps://video.osgeo.org/lazy-static/thumbnails/b6e19375-bc59-42ad-a23f-842b4e843538.jpgFOSS4GE 2024 | SDIs to open data platforms, the geOrchestra waygeOrchestra is a long-established open-source Spatial Data Infrastructure (SDI), grounded in the pillars of OsGeo: - GeoNetwork - GeoServer - MapStore - OpenLayers This solution has proven to be exceptionally robust, having been deployed at various levels including national, regional, institutional, academic, and research centers. As the landscape of metadata management transitions, embracing open data catalogs, data-centric usages, and modern applications, SDIs must evolve and adapt to this new paradigm. In our presentation, we will explore how the geOrchestra community, with support from the GeoNetwork community, has modernized its technology stack and offerings. This includes: - A comprehensive system for data ingestion and preparation. - A collaborative editor for open and geo-metadata. - A unified portal for accessing both open data and geo-data. - A versatile API that addresses a range of data use cases, including searching, paging, processing, analyzing, and aggregating datasets. - Enhanced capabilities for data visualization. These advancements collectively contribute to the development of a sophisticated open-source data platform, incorporating a streamlined data ingestion system and more. Florent Gravin https://talks.osgeo.org/foss4g-europe-2024/talk/8QUULQ/ Room: QFieldCloud (246) @ 03.07.2024 16:00:00 #foss4ge2024 #GeneralTrack #OpenStandardsAndInteroperabilityForGeospatialhttps://video.osgeo.org/videos/embed/af0e2921-8563-4557-a26a-f53a2c089499https://video.osgeo.org/w/1BeKkBXm2QH6R8z23RtqHyhttps://video.osgeo.org/lazy-static/thumbnails/a1b71c0e-65f6-48a5-98bc-d2185c22e0e1.jpgFOSS4GE 2024 | Complexity of Land use planning - simplicity from FOSS4GLand use planning is a complex process involving legal frameworks, decision making, participation with the community and skills for making maps that are artistic but still comprehensible to both experts and laypeople. In the end, however, land use maps are "just" geographical data. They usually consist of an area (a town or a region) and smaller features (blocks, land use areas, lines, points of interest) with lots of different regulations. Attached are different types of documents (decisions, reports) and events describing when and how the process goes from phase to phase. Harmonisation of data for national and global use has been the aim in the geospatial field for a very long time. Now in Finland there is an ambitious scheme to gather all the land use plans from municipalities and regions together in a harmonised manner in an open API service. This is a huge opportunity for FOSS4G since there are no tools available in any software to do this. In this talk we shall briefly go through the current situation in Finland in land use planning. We focus on how to use PostGIS and QGIS in land use planning and bring simplicity to the complex database models. We present two use cases: Regional land use plan which can be done using QGIS attribute forms, and another for detailed zoning and land use plans, which require QGIS plugin development. We also describe our architecture for the PostGIS database and its related services, such as how to import and export data to the national land use planning API. Riku Oja Sanna Jokela https://talks.osgeo.org/foss4g-europe-2024/talk/XKSKE7/ Room: LAStools (327) @ 03.07.2024 16:30:00 #foss4ge2024 #GeneralTrack #TransitionToFoss4Ghttps://video.osgeo.org/videos/embed/04eb8104-3072-4c3c-bf6c-0946337ad012https://video.osgeo.org/w/nqLBp1ZK3s2ZsGnwbxosrthttps://video.osgeo.org/lazy-static/thumbnails/883bab02-8df6-4251-8abc-2595b41a6543.jpgFOSS4GE 2024 | QGIS Server in an enterprise environmentThis presentation describes the functionalities and integration of QGIS Server with a focus which features we are using in our company. A particular strength of QGIS Server lies in its ability to display geodata on the web in the same way as it is visible in QGIS Desktop. This is particularly relevant if an extensive selection of different map styles based on QGIS is available. The QGIS Server is configured exclusively via a QGIS project, which makes it very easy to set up. However, it should be noted that no automated settings are currently possible, for example via API. The QGIS Server supports various OGC standards, including WMS (Web Map Service), WFS (Web Feature Service), WCS (Web Coverage Service) and WMTS (Web Map Tile Service). In addition, it offers a prototype implementation of OAF (OGC API - Features) and integrates many features of QGIS, including the export of maps prepared in the desktop. This presentation will also cover the installation of QGIS Server using Docker. Furthermore, the integration of QGIS Server into middleware solutions will be discussed to enable its use in complex GIS environments. Another focus will be on the configuration of published layers and the selection of published attributes. We will also discuss how to store projects in a database and how to connect to the database using PG_SERVICE files. Jakob Miksch https://talks.osgeo.org/foss4g-europe-2024/talk/XN7BPG/ Room: LAStools (327) @ 03.07.2024 16:00:00 #foss4ge2024 #GeneralTrack #UseCasesApplicationshttps://video.osgeo.org/videos/embed/ad854120-e36d-431a-9b79-44faba36b80dhttps://video.osgeo.org/w/dvUfXjQBeH4bBHiGyGS2h7https://video.osgeo.org/lazy-static/thumbnails/d8d507b2-572b-4eba-b779-3f7528dbb9fd.jpgFOSS4GE 2024 | Learning paths with FOSS4GThere are multiple different ways to learn and teach the use of FOSS4G software. How to combine different platforms smoothly and how to get the most out of them is the problem new users are usually dealing with. One way to structure the learning is introducing learning paths to articulate the learning goals and the most useful path to navigate different learning modules and courses. Most e-learning platforms can use some kind of learning paths as a way to structure learning but they are applicable also to contact training and online training. Learning paths are a way to help the learner to build their knowledge in a structured way. They can be either visual representations of how to navigate the courses or built into your platform. The purpose is to guide students from the current level of competence towards a better level of competence. Learning paths need to be structured in a way the learner can track their progress and choose a different path if their learning needs change. Learning paths give the learner more flexibility and a sense of empowerment in their learning process. From the course organiser, systematic planning is required in constructing course content to ensure that courses do not remain disjointed entities but are logically interconnected. When designing each course, it is essential to define the learning objectives and the level of expertise the course aims to achieve. It is crucial to consider to whom the course is intended and what level of skills participants are expected to have throughout the planning process. Planned learning objectives should be in the heart of the course and should try to support the student's interest in the subject. To mark the competences or completion of the course the learner should have some sort of feedback or certification of completing the course. These are an important part of keeping up the learners motivation and engaging them in the learning process. Once the course organiser has analytically examined th...https://video.osgeo.org/videos/embed/655a7033-0e7a-4b0c-a445-531f1c53be9ahttps://video.osgeo.org/w/1YhQRoMzKbxiXWo9i4JPSChttps://video.osgeo.org/lazy-static/thumbnails/bf39fd90-bad5-4c60-9f06-605eb6082ba4.jpgFOSS4GE 2024 | Planning for rainy days: optimizing school calendars with precipitation data and QGISAccording to the study "Rainy days and learning outcomes: Evidence from Sub-Saharan Africa" (Bekkouche, Houngbedji, Koussihouede, 2022) learning outcomes in Sub-Saharan Africa are negatively affected by rainy days mainly through the mechanism of teacher abstention. School calendars are largely shared within and across countries without taking local climatic conditions into account. This effectively means that the total number of school days in an academic year may differ according to different districts or other administrative levels.. The objective of this collaboration between IIEP and Gispo was to design a process that would enable any policy-maker in the world to look for patterns in periods of heavier precipitation in their country and to propose updated school calendars accordingly. We used precipitation data gathered by the Global Precipitation Measurement (GPM) international satellite mission and distributed by Google Earth Engine. The QGIS Processing framework was used to write algorithms for processing the raster data and to look for periods which were uninterrupted by heavy rainfall. In this talk we will present results of the algorithms and go over the background and implementation of the process in more detail. We will also present a use case for using the algorithm in practice. Meri Malmari Juho Ervasti https://talks.osgeo.org/foss4g-europe-2024/talk/HA37YY/ Room: GEOCAT (301) @ 03.07.2024 16:00:00 #foss4ge2024 #GeneralTrack #Foss4GInEducationAndResearchhttps://video.osgeo.org/videos/embed/07dc07d1-467c-4e26-94d5-9cf97e7b1774https://video.osgeo.org/w/9UkU8HnDbJZtb3KXm37qxBhttps://video.osgeo.org/lazy-static/thumbnails/41b78ddf-0e05-4bfb-aa04-395da11566ea.jpgFOSS4GE 2024 | Panel: Changing the mindset of "Open Source is just for those who can't afford ..."Taking advantage of this year's topic "Building a business with FOSS4G" I would like to invite you to a 45 min panel to discuss together ideas about building a different narrative about the use and benefits of Open Source with members of the FOSS4G community who are doing business in the Private and Public sector. The idea of this panel came while attending several Geospatial industry events, after mentioning that I am an Open Source advocate the comments of people from different organizations were mainly around the costs, one of the very recurrent comments I hear is " it is great that Open Source exists because it can help students who can't afford licenses", other comment I hear frequently is that "Open Source is for companies very limited financially or have no money at all". More than a talk I would like to organize a panel with 3-4 Open Source Entrepreneurs in the one we have an open discussion about how we can change that mindset and impulse more business opportunities together. Let's discuss together how the community can find a way to communicate better the values and benefits of Open Source so we can change this mindset that still exists today. Panel Participants: Codrina Ilie - Terrasigna Ariel Aanthieni - Kan Territory Matthias Kuhn - OPENGIS.ch Miriam Gonzalez https://talks.osgeo.org/foss4g-europe-2024/talk/U3CXLH/ Room: Destination Earth (Van46 ring) @ 03.07.2024 16:30:00 #foss4ge2024 #GeneralTrack #CommunityFoundationhttps://video.osgeo.org/videos/embed/48180c65-29af-414f-8901-6bd780df5f59https://video.osgeo.org/w/bmncrys2AjQ2zaTNdqYmx2https://video.osgeo.org/lazy-static/thumbnails/d3a077da-74c9-4e1e-8218-b1e1e52e2a57.jpgFOSS4GE 2024 | Collectively mapping the FOSS geospatial ecosystem to better understand itIn this talk, the authors plan to take you on the development road of an initiative- community led and supported by ESA - to ingeniously map the complex and dynamic ecosystem of open source for geospatial solutions. Started in 2016 as a volunteer initiative to understand the connections and dependencies between geospatial foss by summarily documenting it in a spreadsheet, it continued with the development of a resources platform for geospatial data exploitation, that combined modern and efficiency in data collection and representation (no more spreadsheets! ), with a significantly more thorough project documentation process, as well as clear steps in the direction of community building. Having more than 300 FOSS projects documented, the team is taking the next big leap. Trying to figure out how to not only map but also extract significant quality metrics that could lead to a better, more robust understanding of the open source for geospatial ecosystem. Ilie Codrina https://talks.osgeo.org/foss4g-europe-2024/talk/QCCVBA/ Room: Destination Earth (Van46 ring) @ 03.07.2024 16:00:00 #foss4ge2024 #GeneralTrack #CommunityFoundationhttps://video.osgeo.org/videos/embed/53d35344-fa41-4122-984d-8d2f86318197https://video.osgeo.org/w/k9c72rBKZkuCA9GamxftLKhttps://video.osgeo.org/lazy-static/thumbnails/fcff81e2-fad8-4ac1-bf9d-77d7353c0567.jpgFOSS4GE 2024 | Facilitating advanced Sentinel-2 analysis through a simplified computation of ...The Sentinel-2 mission, pivotal to the European Space Agency's Copernicus program, features two satellites with the MultiSpectral Instrument (MSI) for high-to-medium resolution (10-60 m) imaging in visible (VIS), near-infrared (NIR), and shortwave infrared (SWIR) bands. Its 180\u00b0 satellite phasing allows for a 5-day revisit time at the equator, essential for Earth Observation (EO) tasks. Sentinel-2 Surface Reflectance (SR) is crucial in detailed Earth surface analysis. However, for enhanced accuracy in SR data, it is imperative to perform adjustments that simulate a nadir viewing perspective (Roy et al., 2016). This correction mitigates the directional effects caused by the anisotropy of SR and the variability in sunlight and satellite viewing angles. Such adjustments are essential for the consistent comparison of images captured at different times and under varying conditions. This is particularly critical for processing and analysing Earth System Data Cubes (ESDCs, Mahecha et al., 2020), which are increasingly used due to their organised spatiotemporal structure and the ease of their generation from cloud-stored data (Montero et al., 2023). The MODIS BRDF/Albedo product presents spectral Bidirectional Reflectance Distribution Function (BRDF) model parameters, enabling the calculation of directional reflectance across any specified sensor viewing and solar angles. Building on this foundation, Roy et al. (2008, 2016) introduced a novel approach leveraging MODIS BRDF parameters, named the c-factor, for the adjustment of Landsat SR data. This adjustment produces Nadir BRDF Adjusted Reflectance (NBAR) by multiplying the observed Landsat SR with the ratio of reflectances predicted by the MODIS BRDF model for both the observed Landsat SR and a standard nadir view under fixed solar zenith conditions. Subsequently, Roy et al. (2017) expanded this method to include adjustments for multiple Sentinel-2 spectral bands (VIS to SWIR). While the c-factor method facilitat...https://video.osgeo.org/videos/embed/9b026d7e-3532-499d-82d0-b9aedf54f8cfhttps://video.osgeo.org/w/u4xPypEoafz41zSGLWbLoEhttps://video.osgeo.org/lazy-static/thumbnails/a733ae70-652c-4bdb-8325-b8316681b118.jpgFOSS4GE 2024 | SpectralIndices.jl: Streamlining spectral indices access and computation for ...Remote sensing has evolved into a fundamental tool in environmental science, helping scientists monitor environmental changes, assess vegetation health, and manage natural resources. As Earth observation (EO) data products have become increasingly available, a large number of spectral indices have been developed to highlight specific surface features and phenomena observed across diverse application domains, including vegetation, water, urban areas, and snow cover. Examples of such indices include the normalized difference vegetation index (NDVI) (Rouse et al., 1974), used to assess vegetation states, and the normalized difference water index (NDWI) (McFeeters, 1996), used to delineate and monitor water bodies. The constantly increasing number of spectral indices, driven by factors such as the enhancement of existing indices, parameters optimization, and the introduction of new satellite missions with novel spectral bands, has necessitated the development of comprehensive catalogs. One such effort is the Awesome Spectral Indices (ASI) suite (Montero et al., 2023), which provides a curated machine-readable catalog of spectral indices for multiple application domains. Additionally, the ASI suite includes not only a Python library for querying and computing these indices but also an interface for the Google Earth Engine JavaScript application programming interface, thereby accommodating a wide range of users and applications. Despite these valuable resources, there is an emerging necessity for a dedicated library tailored to Julia, a programming language renowned for its high-performance computing capabilities (Bezanson et al., 2017). Julia has not only established itself as an effective tool for numerical and computational tasks but also offers the possibility to utilize Python within its environment through interoperability features. This interoperation adds a layer of flexibility, allowing users to access Python's extensive libraries and frameworks directly from...https://video.osgeo.org/videos/embed/e33eb93a-7540-4dba-aaca-43cebc73e1c2https://video.osgeo.org/w/aH9E6Xq1SiSSjvgxsYwXuahttps://video.osgeo.org/lazy-static/thumbnails/6b5f6186-62c7-49f1-b7ec-1edb8ccf0cc9.jpgFOSS4GE 2024 | XDGGS: A community-developed Xarray package to support planetary DGGS data cube ...## 1. Introduction Traditional maps use projections to represent geospatial data in a 2-dimensional plane. This is both very convenient and computationally efficient. However, this also introduces distortions in terms of area and angles, especially for global data sets (de Sousa et al., 2019). Several global grid system approaches like Equi7Grid or UTM aim to reduce the distortions by dividing the surface of the earth into many zones and using an optimized projection for each zone to minimize distortions. However, this introduces analysis discontinuities at the zone boundaries and makes it difficult to combine data sets of varying overlapping extents (Bauer-Marschallinger et al., 2014). Discrete Global Grid Systems (DGGS) provide a new approach by introducing a hierarchy of global grids that tesselate the Earth's surface evenly into equal-area grid cells around the globe at different spatial resolutions, and providing a unique indexing system (Sahr et al., 2004). DGGS are now defined in the joint ISO and OGC DGGS Abstract Specification Topic 21 (ISO 19170-1:2021). DGGS serve as spatial reference systems facilitating data cube construction, enabling integration and aggregation of multi-resolution data sources. Various tessellation schemes such as hexagons and triangles cater to different needs - equal area, optimal neighborhoods, congruent parent-child relationships, ease of use, or vector field representation in modeling flows. Purss et al. (2019) have explained the idea to combine DGGS and data cubes and underlined the compatibility of these two concepts. Thus, DGGS are a promising way to harmonize, store, and analyse spatial data on a planetary scale. DGGSs are commonly used with tabular data, where the cell id is a column. Many datasets have other dimensions, such as time, vertical level, ensemble member, etc. For these, it was envisioned to be able to use Xarray (Hoyer and Hamman 2017), one of the core packages in the Pangeo ecosystem, as a container for D...https://video.osgeo.org/videos/embed/4ea113d9-b06c-4657-8844-3a7225790fcdhttps://video.osgeo.org/w/rFQHKUGPueNhQSnm2Sszmbhttps://video.osgeo.org/lazy-static/thumbnails/40511b1d-d45a-4270-889c-be47cca2b30d.jpgFOSS4GE 2024 | Mergin Maps: an open source platform based on QGIS for data collection and ...Mergin Maps simplifies field data collection, offering an open-source platform built on the power and familiarity of QGIS. Capture, share, and publish your geospatial data seamlessly with intuitive mobile apps and robust web tools. Mergin Maps (MM) has the following components: - Desktop: QGIS to set up and design your field survey - QGIS MM plugin: to upload/download your data to/from your cloud service (Mergin Maps server) - Mergin Maps mobile: an app based on QGIS with synchronisation tool allowing you to open your QGIS project and edit/capture data in the field - Mergin Maps server: a service allowing you to store and synchronise the data between QGIS and mobile app. There are other tools and APIs available to handle the data transfer programmatically. For full list, see: https://github.com/MerginMaps Saber Razmjooei Peter Petrik https://talks.osgeo.org/foss4g-europe-2024/talk/CWTFW7/ Room: QFieldCloud (246) @ 03.07.2024 15:00:00 #foss4ge2024 #GeneralTrack #StateOfSoftwarehttps://video.osgeo.org/videos/embed/d0047f8e-4ddc-4281-b30f-b51063abec86https://video.osgeo.org/w/5phLCiFLFGWbGhi2K5dWhUhttps://video.osgeo.org/lazy-static/thumbnails/63a81bd2-bf9a-439b-ae22-4f11ffbcf2d9.jpgFOSS4GE 2024 | QField 3 - Fieldwork redefinedThe mobile application QField is based on QGIS and allows fieldwork to be carried out efficiently based on QGIS projects, offline or online. Developments in recent months have added additional functions to the application that are useful for fieldwork. Examples are used to present the most important new features. Discover the most recent features like 3D-layers and point clouds handling, NFC and QR reader, printing of reports and atlases, elevation profiling of terrain and layers, multi-column support in feature form, azimuth values in the measuring tool, locked screen mode, stakeout functionalities, and many more. Marco Bernasocchi Matthias Kuhn https://talks.osgeo.org/foss4g-europe-2024/talk/USLGE7/ Room: QFieldCloud (246) @ 03.07.2024 14:30:00 #foss4ge2024 #GeneralTrack #StateOfSoftwarehttps://video.osgeo.org/videos/embed/23a4fef1-31b8-42a6-bc99-2b2844a40a2chttps://video.osgeo.org/w/2jR8weDsJZrB6i8RReSoU3https://video.osgeo.org/lazy-static/thumbnails/05ba4581-e2db-4488-b7db-03dd8983b014.jpgFOSS4GE 2024 | Turning an Old Ship Towards FOSS4G - Why, How and Where ToWhile Regio is a company that has consistently employed and appreciated free and open-source solutions, the primary engines powering the business have largely originated from commercial sources. Few years ago, Regio made the strategic decision to navigate away from commercial software as extensively as possible. This transition has presented significant challenges, as the ship is aged and entangled with numerous dependencies. Despite encountering setbacks, Regio remains resolute in its commitment. In addition to the advantages already acquired, the promise of open waters ahead fuels our determination to navigate this transformative journey. Püü Polma https://talks.osgeo.org/foss4g-europe-2024/talk/MLEHAD/ Room: QFieldCloud (246) @ 03.07.2024 14:00:00 #foss4ge2024 #GeneralTrack #TransitionToFoss4Ghttps://video.osgeo.org/videos/embed/0abacdc3-2f82-4849-87d2-0b94174248e2https://video.osgeo.org/w/d28cgmmPgzMv3kEAMn3S6Thttps://video.osgeo.org/lazy-static/thumbnails/7f175c21-f9e2-45ba-bc59-cc7d6f90b033.jpgOSS4GE 2024 | OpenMapTiles - vector tiles from OpenStreetMap & Natural Earth Data*OpenMapTiles* is an open-source set of tools for *processing OpenStreetMap data* into *zoomable* and *web-compatible vector tiles* to use as *high-detailed base maps*. These vector tiles are ready to use in MapLibre, Mapbox GL, Leaflet, OpenLayers, and QGIS as well as in mobile applications. Dockerized OpenMapTiles tools and OpenMapTiles schema are being *continuously upgraded by the community* (simplification, performance, robustness). The presentation will demonstrate the latest changes in OpenMapTiles. *The last release of OpenMapTiles greatly enhanced cartography and map styling possibilities*, especially the enrichment of road network, added more POI, or improved update performance. The latest version of Natural Earth brings updated data to upper zooms and includes the *OpenMapTiles style* showing all features in well-known colors for vector tiles. OpenMapTiles is also used for generating *vector tiles from government open data* secured by *Swisstopo*. Tomáš Pohanka https://talks.osgeo.org/foss4g-europe-2024/talk/EHKHAM/ Room: LAStools (327) @ 03.07.2024 15:00:00 #foss4ge2024 #GeneralTrack #StateOfSoftwarehttps://video.osgeo.org/videos/embed/6155d75e-6c8c-4d60-aa64-d19a6dc73c9dhttps://video.osgeo.org/w/ksocUA8q2mBJj5G3mWuGQEhttps://video.osgeo.org/lazy-static/thumbnails/b8fa6af9-2d03-4de6-98a1-9167da81690b.jpgFOSS4GE 2024 | pg_featureserv - Publication of vector data with OGC API featuresThis presentation introduces the pg_featureserv program. It is lightweight, written in Go, and is used to publish vector data from PostGIS databases using the OGC API features standard. First, the main features of pg_featureserv are presented, including installation and setup. Special attention is given to the tool's numerous filter functions, which allow precise and efficient queries of spatial data. The usage of these functions is explained with examples. In addition, the OGC API Features standard is presented as an alternative to the traditional WFS for publishing spatial data. The differences between the two approaches are explained and the advantages of the new standard are highlighted. Jakob Miksch https://talks.osgeo.org/foss4g-europe-2024/talk/FMDZFK/ Room: LAStools (327) @ 03.07.2024 14:30:00 #foss4ge2024 #GeneralTrack #StateOfSoftwarehttps://video.osgeo.org/videos/embed/9d8ca834-bbfe-4308-9df2-d584cf87ef66https://video.osgeo.org/w/vxDUDFECwQQMsLuJT6UmVbhttps://video.osgeo.org/lazy-static/thumbnails/4a6aef12-0442-43b6-88ec-519180802eb9.jpgFOSS4GE 2024 | Vector Tiles Cartography: Elevate your maps with JSON tricksUnlock the full potential of Vector Tile Cartography with the power of JSON. While working with JSON might be confusing at first, the goal of this talk is to help you understand the basic syntax and how you can leverage it to make beautiful maps. We will learn the basics of a style.json file, the crucial document that defines the map as per the MapLibre GL JS style spec. Using JSON syntax snippets, we will navigate through specific MapTiler cartography designs that you can reuse every time you make a map. Nicolas Bozon Petra Duriancikova https://talks.osgeo.org/foss4g-europe-2024/talk/NMQQUE/ Room: LAStools (327) @ 03.07.2024 14:00:00 #foss4ge2024 #GeneralTrack #UseCasesApplicationshttps://video.osgeo.org/videos/embed/ef447082-9d81-44be-9525-c885fb0803achttps://video.osgeo.org/w/uDRx2rn3aCL4ZU1V1CEfNwhttps://video.osgeo.org/lazy-static/thumbnails/e3dd78ea-07f3-496a-b8da-ccc97d4cf26f.jpgFOSS4GE 2024 | Creating a New River Network for IrelandIn 2024, Ireland's Environmental Protection Agency (the EPA), in collaboration with Compass Informatics, began creating a new national river network using highly accurate vector data provided by the national mapping agency Tailte Éireann. This will replace the current river network based on 50,000 scale data. The existing river network contains around 85,000 Km of water channels, whereas the new dataset is almost 125,000 Km in length. However, the new dataset contains gaps where water flow is not visible, such as through culverts under roads, and lacks essential attributes required for environmental monitoring such as flow direction and stream order. Currently, a project is underway to join gaps in this dataset, create flow lines through waterbodies such as lakes and transitional waters, add missing features, and connect the network through groundwater aquifiers. An on-line GIS editing portal was developed to support the project using open-source software, which will be the focus of the talk. A front-end web GIS was developed using OSGeo projects OpenLayers and GeoExt, and other open-source geospatial JavaScript libraries including cpsi-mapview. The backend uses MapServer and Python web services, building on numerous open-source geospatial libraries including NetworkX, Shapely, skgeom, and two libraries created by Compass Informatics: Wayfarer, a Python library for analysing geospatial networks, and Cascade, a Python library for applying stream orders to vector networks. Cascade will be released as an open-source library as part of this project. Upon completion, the new river network will enhance the EPA's modelling and assessment capabilities across water and environmental domains. This includes sediment and flow modelling, catchment assessments, water quality monitoring, and delineation of river waterbodies. The new network will benefit many other organisations for applications such as fisheries and flood management and become a key component of Ireland's...https://video.osgeo.org/videos/embed/e808edcf-2f2c-4b77-b910-987fead2aff2https://video.osgeo.org/w/9W3aLuJra2CR72Ywq3DMWNhttps://video.osgeo.org/lazy-static/thumbnails/14481c3c-3166-49d2-a372-c554236de15b.jpgFOSS4GE 2024 | Modernizing the National River and Lakes Cadastre by Transition to FOSS4GThis presentation is intended to introduce a project completed at the end of 2023, during which the Lithuanian National River and Lake Cadastre (https://uetk.biip.lt/) has been modernized by transferring GIS (and not only) solutions from commercial software to open source and by extending automated GIS data processing solutions. During the presentation, we will share not only the technological solutions we have adopted, but also our experience in changing the attitude of GIS specialists with experience of working with commercial GIS software towards open source. The main technological components of the project included the development of a data management system using PostGIS and QGIS, the development of a map browser using openlayers and Vue JS (available as an open source project - https://github.com/AplinkosMinisterija/biip-maps-web), and the development of a service publishing solution based on QGIS Server. The project used Docker technology and GitHub action-based continuous deployment (CD) solutions, which should also be relevant to the audience. Many of us know that building a system from the ground up is often much easier than upgrading an existing system that has been in place for a long time but has not been updated. This was the case for the National River and Lakes Cadastre as well. This process is particularly challenging when it comes to the modernisation of national information systems and cadastres, which are often subject to quite strict legislative control. There are also a number of challenges at the technical level: 1) old and outdated software that cannot be upgraded without overhauling the system, 2) integrations with other systems, 3) old infrastructure, 4) code that is closed and unmanageable by the organization, and 5) users who are working with the data, who are challenged by the new solutions. This is exactly the same set of problems that awaited the modernisation of the Lithuanian National Cadastre of Rivers and Lakes, managed by the...https://video.osgeo.org/videos/embed/48549bf3-72c3-41f9-aa7d-db713add1d26https://video.osgeo.org/w/7CUCMzGQgurP7W91NHwE4jhttps://video.osgeo.org/lazy-static/thumbnails/fef6762a-8731-4b62-819f-865359514436.jpgFOSS4GE 2024 | QGIS for Hydrological ApplicationsHydrological analysis is a common task in environmental and geospatial applications. However, many users of QGIS encounter challenges when they want to perform stream and catchment delineation or morphometric analysis of streams and catchments using various processing provider plugins. These plugins, such as PCRaster, SAGA, GRASS and WhiteboxTools, offer different algorithms and methods for hydrological analysis, but they also require different installation procedures and have different limitations and assumptions. In this presentation, we will review the main features and drawbacks of these plugins, and provide practical tips and examples on how to use them effectively in QGIS. We will also compare the results of different algorithms and discuss the implications for hydrological analysis workflows. By the end of this presentation, you will have a better understanding of the available tools and techniques for stream and catchment delineation in QGIS, and how to choose the most suitable ones for your projects. Hans van der Kwast https://talks.osgeo.org/foss4g-europe-2024/talk/VES7FV/ Room: GEOCAT (301) @ 03.07.2024 14:00:00 #foss4ge2024 #GeneralTrack #UseCasesApplicationshttps://video.osgeo.org/videos/embed/35be0b70-4eab-462b-bdde-869f2f17e918https://video.osgeo.org/w/hfWs5hgjR2gikx1BdqXjZThttps://video.osgeo.org/lazy-static/thumbnails/a744e47a-87f3-4d7b-a1c9-8ec5ee61451f.jpgFOSS4GE 2024 | An eMOTIONAL SDI - What makes an SDI user friendly?SDIs have gone a long way since the times of OGC Web Services (e.g.: WMS, WFS, etc). Today, they are supported by a breed of modern OGC standards (e.g.: OGCAPI), which embrace mainstream web technologies, such as REST, JSON and OpenAPI. These standards are already implemented by a variety of servers and clients, including FOSS. How did this technological modernization impact the experience of end users? In this talk, we'll share the experience from a research project, which included a variety of stakeholders that had the requirement of having to produce and share geospatial data among them. An SDI was assembled, using a mix of modern and more established standards, implemented through a stack of FOSS4G software. We would like to discuss some lessons learned from this project, including the need to identify strategies that can foster the adoption of the SDI by the stakeholders. As Brenda Laurel, an independent scholar, stated: "Design isn't finished until somebody is using it." Antonio Cerciello Joana Simoes https://talks.osgeo.org/foss4g-europe-2024/talk/9CKDQA/ Room: Destination Earth (Van46 ring) @ 03.07.2024 15:25:00 #foss4ge2024 #GeneralTrack #OpenStandardsAndInteroperabilityForGeospatialhttps://video.osgeo.org/videos/embed/83a82fe3-9237-4a68-86d0-84b5a37728fdhttps://video.osgeo.org/w/1FReNvxE5THerPSdyuNzHihttps://video.osgeo.org/lazy-static/thumbnails/ec501cb7-fb98-4217-a88a-20e00c0f34a7.jpgFOSS4GE 2024 | Translation Management in FOSS - The Case of GeoServerOne of the keys for FOSS to have a large audience in several countries is to offer the possibility to use different languages in the system, especially for the softwares with a user interface. Through the case of GeoServer, we will see what can be translated in a software, what features are expected to offer a good translation management and what translation means in terms of development process. Alexandre Gacon https://talks.osgeo.org/foss4g-europe-2024/talk/3NXTEG/ Room: Destination Earth (Van46 ring) @ 03.07.2024 15:20:00 #foss4ge2024 #GeneralTrack #CommunityFoundationhttps://video.osgeo.org/videos/embed/059059db-581e-46d9-87d3-56e976d24cefhttps://video.osgeo.org/w/jhvu6D13QxWsdJ3TC3g1buhttps://video.osgeo.org/lazy-static/thumbnails/41ff9fea-a793-42ef-a646-d1412f6a0701.jpgFOSS4GE 2024 | Styling Natural Earth with GeoServer and GeoCSSNatural Earth is a public domain map dataset available at 1:10m, 1:50m, and 1:110 million scales. Featuring tightly integrated vector and raster data, with Natural Earth one can build a variety of visually pleasing, well-crafted maps with cartography or GIS software. GeoServer GeoCSS is a CSS inspired language allowing you to build maps without consuming fingertips in the process, while providing all the same abilities as SLD. In this presentation we'll show how we have built a world political map and a world geographic map based on Natural Earth, using CSS, and shared the results on GitHub. We'll share with you how simple, compact styles can be used to prepare a multiscale map, including: * Leveraging CSS cascading. * Building styles that respond to scales in ways that go beyond simple scale dependencies. * Various types of labeling tricks (conflict resolution and label priority, controlling label density, label placement, typography, labels in various scripts, label shields and more). * Quickly controlling colors with LessCSS inspired functions. * Building symbology using GeoServer large set of well known marks. Join this presentation for a relaxing introduction to simple and informative maps. Andrea Aime https://talks.osgeo.org/foss4g-europe-2024/talk/LRW8XD/ Room: Destination Earth (Van46 ring) @ 03.07.2024 15:15:00 #foss4ge2024 #GeneralTrack #UseCasesApplicationshttps://video.osgeo.org/videos/embed/9412910e-8c19-46e1-8767-f8e252da2d18https://video.osgeo.org/w/jBJJL1Yokkk8YREdm3DhGHhttps://video.osgeo.org/lazy-static/thumbnails/401fcbe7-1682-4d6f-a152-c7e433535135.jpgFOSS4GE 2024 | Spatial Data Sharing and Implications: An Example from the Map Department of ...In our country, coordination among public institutions for the Turkey's National Geographic Information System (NSDI) (Türkiye Ulusal Coğrafi Bilgi Sistemi - TUCBS) and its infrastructure, the establishment of goals and strategies, the generation and maintenance of geographic data within the thematic areas of geographic information, and ensuring its currency, management, use, access, security, sharing, and distribution are determined by the procedures, principles, and standards to be developed with the Presidential Decree No. 49. This proposal covers the project for coordinating Standard Topographic Maps produced by the Map Department of General Directorate of Land Registry and Cadastre, highlighting significant developments in map management processes and the successes of the project, along with the detailed use of open-source software. The Department, through its photogrammetric base map production at a 1/5000 scale since 1955, examines efforts to digitize a 480,000 km² dataset. The characteristics of raster data, focusing on deformation, distortion, and quality issues in scanned data at different resolutions, are investigated to assess their suitability for automation. The testing conducted within the project includes the coordination processes using QGIS on the Ankara 1/250,000 sheet, emphasizing the contribution of open-source software to the project. The flexibility and community-driven development of open-source software have facilitated more effective project management and customization of the software. Test results indicate the successful coordination of 1,967 raster sheets and demonstrate the feasibility of more extensive testing through remote working methods. The proposal also dives into institutional requirements related to 1/5000 sheet demands, such as registry needs, storage requirements, usage through the Metadata GeoPortal (Harita Bilgi Bankası - HBB), and web presentation. The management of open-source GeoTiff files used in the presentation wit...https://video.osgeo.org/videos/embed/96c1dd96-960e-4d77-aa16-b89efccb2ce1https://video.osgeo.org/w/8Dq83NFFqWqr6HAoXUQfyThttps://video.osgeo.org/lazy-static/thumbnails/373db641-bf0e-4196-899b-a8c114214fec.jpgFOSS4GE 2024 | GeoServer Monitor PostgreSQL Extension - Persist the monitoring metrics of your ...Optimal performance of GeoServers in production environments is essential to provide high quality of service to the users. A GeoServer deployed in production environment may host several layers that serve data from multiple data sources (datastores). GeoServer offers a monitor extension (https://docs.geoserver.org/latest/en/user/extensions/monitoring/index.html) that tracks the requests received by the GeoServer and collects information such as requested resources, response time, response status and so on. The monitor extension supports two methods of storing these metrics. The first option is memory storage, where the metrics on the last 100 requests are stored in memory. However, this storage is volatile and information is lost when the GeoServer is restarted. Additionally, this option is insufficient for GeoServers receiving several hundreds of requests every day. The second option is audit logging, which stores the metrics in a file on the server. However, a secondary application will have to process them to analyze or visualize the data. Apart from these, the Hibernate Monitor community module (https://docs.geoserver.org/latest/en/user/community/monitor-hibernate/index.html) was available to store the metrics in a database. However, this community module is not available for the newer versions of the GeoServer and also seems to no longer be maintained. The GeoServer Monitor PostgreSQL module presented in this talk aims to overcome the aforementioned limitations by offering a solution to persist the metrics in a PostgreSQL database. This module is an extension to the official monitoring extension of the GeoServer. It fetches the metrics generated by the monitoring extension after a request is post-processed and persists them in a PostgreSQL database. The persistent storage of metrics enables the administrators as well as the users of the GeoServer to analyze the performance of their GeoServer layers. The GeoServer Monitor PostgreSQL module offers a simple, l...https://video.osgeo.org/videos/embed/3de95b03-d000-4de3-be1e-b51cf675d10bhttps://video.osgeo.org/w/7AbQvhQbYBYCqZ6QVpHNDLhttps://video.osgeo.org/lazy-static/thumbnails/c1cc21ae-fcf3-4957-99cc-c8e2119f485d.jpgFOSS4GE 2024 | geoserverx - a new CLI and library to interact with GeoServergeoserverx is a modern Python package that provides an efficient and scalable way to interact with Geoserver REST APIs. It leverages the asynchronous capabilities of Python to offer a high-performance and reliable solution for managing Geoserver data and services. With geoserverx, users can easily access and modify data in Geoserver, such as uploading and deleting shapefiles, publishing layers, creating workspaces, styles, etc. . The package supports asynchronous requests along with synchronous method to the Geoserver REST API, which enables users to perform multiple tasks simultaneously, improving performance and reducing wait times. Apart from being implemented in Python Projects, geoserverx also provides CLI support for all of it's operations. Which makes it useful for people who want to avoid Python all-together. In this talk we discover for the very first time about how geoserverx work and underlying code ideology. Along with that we'll also spread some light on upcoming modules to be integrated in geoserverx Francesco Bartoli krishna lodha https://talks.osgeo.org/foss4g-europe-2024/talk/QMTBBY/ Room: Destination Earth (Van46 ring) @ 03.07.2024 15:00:00 #foss4ge2024 #GeneralTrack #UseCasesApplicationshttps://video.osgeo.org/videos/embed/355ccc59-a4fa-4a13-a6bc-281a69b8657ehttps://video.osgeo.org/w/jW7uCP68fS41gKh1g1BnNyhttps://video.osgeo.org/lazy-static/thumbnails/533078d4-a37e-4138-b23f-6e3aeeca3c45.jpgFOSS4GE 2024 | Mastering Security with GeoServer, GeoFence, and OpenIDThe presentation will provide a comprehensive introduction to GeoServer's own authentication and authorization subsystems. The authentication part will cover the various supported authentication protocols (e.g. basic/digest authentication, CAS, OAuth2) and identity providers (such as local config files, database tables and LDAP servers). It will also cover the recent improvements implemented with the OpenID integrations and the refreshed Keycloak integration. It will explain how to combine various authentication mechanisms in a single comprehensive authentication tool, as well as provide examples of custom authentication plugins for GeoServer, integrating it in a home-grown security architecture. We'll then move on to authorization, describing the GeoServer pluggable authorization mechanism, and comparing it with a external proxy-based solution. We will explain the default service and data security system, reviewing its benefits and limitations. Finally, we'll explore the advanced authorization provider, GeoFence. The different levels of integration with GeoServer will be presented, from the simple and seamless direct integration to the more sophisticated external setup. Finally, we'll explore GeoFence's powerful authorization rules using: * The current user and its roles. * The OGC services, workspace, layer, and layer group. * CQL read and write filters. * Attribute selection. * Cropping raster and vector data to areas of interest. Andrea Aime Emanuele Tajariol https://talks.osgeo.org/foss4g-europe-2024/talk/K3MBAD/ Room: Destination Earth (Van46 ring) @ 03.07.2024 14:30:00 #foss4ge2024 #GeneralTrack #UseCasesApplicationshttps://video.osgeo.org/videos/embed/9952a94d-f0f5-4363-a4d3-e209ceb4e758https://video.osgeo.org/w/h6FQdPZxNhu7DyRHBniUFWhttps://video.osgeo.org/lazy-static/thumbnails/1a41fa90-13d2-4bfb-8a33-94dd95b6a9a4.jpgFOSS4GE 2024 | State of GeoServerGeoServer is a web service for publishing your geospatial data using industry standards for vector, raster and mapping, as well as to process data, either in batch or on the fly. GeoServer powers a number of open source projects like GeoNode and geOrchestra and it is widely used throughout the world by organizations to manage, disseminate and analyze data at scale. This presentation provides an update on our community as well as reviews of the new and noteworthy features for the latest releases. In particular, we will showcase new features landed in 2.24 and 2.25, as well as a preview of what we have in store for 2.26 (to be released in September 2024). Attend this talk for a cheerful update on what is happening with this popular OSGeo project, whether you are an expert user, a developer, or simply curious what GeoServer can do for you. Andrea Aime Ian Turton https://talks.osgeo.org/foss4g-europe-2024/talk/9ECBGK/ Room: Destination Earth (Van46 ring) @ 03.07.2024 14:00:00 #foss4ge2024 #GeneralTrack #StateOfSoftwarehttps://video.osgeo.org/videos/embed/825d7c00-72fa-4299-8cf7-b80e26f794f4https://video.osgeo.org/w/3WcyFyXwtKPmMBuXcVfoaJhttps://video.osgeo.org/lazy-static/thumbnails/922da302-3102-47fd-b76e-336639357c91.jpgFOSS4GE 2024 | Beautiful Thematic Maps in Leaflet with Automatic Data ClassificationWith the web being a platform that provides lots of features and a high degree of customizability for creating web maps, web-based thematic maps still require expertise to visualize geospatial data in a way that highlights spatial differences in an exact and cartographically comprehensive way. While most thematic maps show data with seven or less classes, as determined by (Linfang and Liqiu, 2014), the maker of a thematic map must choose a class count and classify quantitative data to properly convey their message through the map. Data classification methods all have advantages and disadvantages for specific spatial data types, therefore choosing the most optimal method is of great importance to minimize information loss (Osaragi, 2002). Choosing an optimal class count massively helps the map user to quickly comprehend thematic data and discover relevant spatial differences. With a plethora of visual variables, summarized by (Roth, 2017), there are many ways to distinguish classes of features in geovisualization. For styling features, mapping libraries provide tools to make use of only a few visual variables natively. A thematic map requires a specific symbology tailored to the given data, which distinguishes classes by altering one or more of these visual variables for their symbols. While its symbology needs to be legible and visually separated from the background map, it also needs to be created in a way that does not overload the map visually. The popular open source web mapping framework Leaflet lacks a straightforward approach to create thematic maps with all basic principles that they should adhere to (data classification, automatic symbology and legend generation). In the paper, features and shortcomings of Leaflet in the context of thematic mapping are examined in detail. First, Leaflet lacks any kind of native data classification process that would be needed to create discrete classes of data for thematic maps. Therefore, using GIS software beforehand...https://video.osgeo.org/videos/embed/17c39130-d9e4-456a-b249-7afad4fbfe6chttps://video.osgeo.org/w/wcBZFeMCiSqWtCXamwkkCYhttps://video.osgeo.org/lazy-static/thumbnails/8bfe2886-75d9-4c4c-a71c-decfff07a3e7.jpgFOSS4GE 2024 | The template for a Semantic SensorThings API with the GloSIS use caseMotivation ---------- Spatial Data Infrastructures (SDI) developed for the exchange of environmental has heretofore been greatly shaped by the standards issued by the Open Geospatial Consortium (OGC). Based on the Simple Object Access Protocol (SOAP), services like WMS, WFS, WCS, CSW became digital staples for researchers and administrative bodies alike. In 2017 the Spatial Data on the Web Working Group (SDWWG) questioned the overall approach of the OGC, based on the ageing SOAP technology [@SDWWG2017]. The main issues identified by the SDWWG can be summarised as: - Spatial resources are not identified with URIs. - Modern API frameworks, e.g. OpenAPI, are not being used. - Spatial data are still shared in silos, without links to other resources. - Content indexing by search engines is not facilitated. - Catalogue services only provide access to metadata, not the data. - Data difficult to understand by non-domain-experts. To address these issues the SDWWG proposed a five point strategy inspired on the Five Star Scheme [@BernersLee2006]: - *Linkable*: use stable and discoverable global identifiers. - *Parseable*: use standardised data meta-models such as CSV, XML, RDF, or JSON. - *Understandable*: use well-known, well-documented, vocabularies/schemas. - *Linked*: link to other resources whenever possible. - *Usable*: label data resources with a licence. The work of the SDWWG triggered a transformational shift at the OGC towards specifications based on the OpenAPI. But while convenience of use has been the focus, semantics has been largely unheeded. A Linked Data agenda has not been pursued. However, the OpenAPI opens the door to an informal coupling of OGC services with the Semantic Web, considering the possibility of adopting JSON-LD as syntax to OGC API responses. The introduction of a semantic layer to digital environmental data shared through state-of-the-art OGC APIs is becoming a reality, with great benefits to researchers using or sharing data. This...https://video.osgeo.org/videos/embed/f491860c-02be-4810-9c11-b0640a2b1f24https://video.osgeo.org/w/2KMRMCUUVtsYwPh2P5Jofphttps://video.osgeo.org/lazy-static/thumbnails/e89a23f3-788d-4da9-b44e-cb67e0a453e2.jpgFOSS4GE 2024 | Modernizing Geospatial Services: An investigation into modern OGC API ...The Open Geospatial Consortium (OGC) APIs are a new set of standards released in response to existing WxS standards which is considered as a modern technology for data sharing over the internet. This study explores the transition from traditional geospatial service standards to modern Open Geospatial Consortium (OGC) API standards in web applications by implementing it in the field of urban development management. The main goal of this study is to explore the potential for enhancing web applications through a comparative analysis of the integration of modern and traditional geospatial technologies based on their performance and practical implications. The research scope encompasses the design and development of a modern web application architecture, involving database design and preparation, and automatic integration of data from various format; implementation of geospatial services using both traditional standards and modern OGC API standards, including the creation of a frontend website using Openlayers for the user. However, the core focus was given on the comparative analysis of the traditional and modern geospatial services standards, evaluating data compatibility, deployment processes, and performance metrics with different levels of concurrent requests. The study is structured into two primary segments: an extensive theoretical evaluation of the standards, and followed by a hands-on testing phase. involving the setup of both traditional and modern services separately while keeping the other components (database and frontend) same in the architecture. In the database tier, PostGIS was employed, Geoserver and Pygeoapi were used in the server section for publishing data in both traditional (WxS) and modern (OGC API) standards to the user tier. OpenLayers was used for the frontend to visualize the data for users. Database design and preparation were accomplished using Geodjango and PostgreSQL, and automatic data integration was conducted using Python. The A...https://video.osgeo.org/videos/embed/0e3661cb-5b8f-4c36-a913-17d7d16a24cbhttps://video.osgeo.org/w/bnTBbZCGckdNqhgeNFVCYRhttps://video.osgeo.org/lazy-static/thumbnails/c6134ed8-ab00-4e38-859a-4c3d581534af.jpgFOSS4GE 2024 | A standardised approach for serving environmental monitoring data compliant with ...Environmental monitoring is fundamental for addressing climate change. Environmental data, in particular air quality and meteorological parameters, are widely used for risk assessment, urban planning, and other studies regarding urban and rural environments. Finding open and good quality environmental data is a complex task, even though environmental and meteorological monitoring are considered some of INSPIRE's high value datasets. For this reason, having robust, open, and standardised services that can offer spatial data is of critical importance. A good example of open, high-quality, environmental and meteorological data is one of the Regional Agencies for Environmental Protection, ARPA Lombardia. This agency maintains the air quality and meteorological monitoring station networks of the region and serves a high volume of sensor observations. The Lombardy region is located in northern Italy and is considered its financial and industrial muscle. Due to its topology, during the colder months of the year, the pollution levels of the region increase, in particular the concentrations of particulate matter (PM10 and PM2.5), as portrayed in [1]. For this reason, having a well-established monitoring network is critical. The ARPA Lombardia monitoring network generates huge volumes of data, which is served through its catalogue and a set of services. It is possible to download air quality and meteorological observations, as well as the information of the monitoring stations. These data have been extensively used in research, in particular, in the study of air quality in the region [2][3]. ARPA Lombardia environmental monitoring data is served through the API (Application Programming Interface) of the Lombardy region, Open Data Lombardia. Although this service is highly functional, thoroughly documented and works correctly, we identified some limitations that could pose problems for researchers, especially in the field of geospatial information. This service has geos...https://video.osgeo.org/videos/embed/5409cf3d-efb2-409b-b7c0-64ed4a6b8729https://video.osgeo.org/w/1LkkE3LLFiAGQrKHaJcLGfhttps://video.osgeo.org/lazy-static/thumbnails/ba120c72-34b9-4ab0-90d4-8f9277b84312.jpgFOSS4GE 2024 | An open early-warning system prototype to help in management and study algal ...The effects of climate change, together with human activities, are stressing many natural resources. Such effects are altering distribution patterns, such as precipitation, and known dynamics in all natural spheres (Hydrosphere, Biosphere, Lithosphere, and Atmosphere). The monitoring of environmental parameters is becoming of primary importance to better understand the changes that we need to address. Satellite images, laboratory analysis of samples, and high-end real-time monitoring systems offer solutions to this problem. However, often such solutions require proprietary tools to better exploit data and interact with them. The open science paradigm fosters accessibility to data, scientific results, and tools at all levels of society. Hence, in this project, we aimed to apply such an approach to aid in managing a new phenomenon affecting Lake Lugano, primarily caused by the increase in water temperatures and the high load of nutrients from human activities. In fact, over the past years and particularly in 2023, distributed Harmful Algal Blooms (HABs) appeared on the lake, raising awareness of this phenomenon that can be dangerous for human and animal health. Since HABs are distributed on the water lake surface, an open source cost-effective solution based on open hardware, software and standards can potentially increase the spatial resolution to collect more dense measurements. The excessive algae growth could be composed by Cyanobacteria which can produce a wide range of toxic metabolities, including microcystins (MCs). These cyanotoxins, whose negative effect can be both acute at high concentrations and at low doses (Chen et al., 2009; Li et al., 2011), are produced by common species in Lake Lugano. Among these, the most problematic is Microcystis, as it can give rise to blooms during the summer period that accumulate along the shores due to wind and currents. In these areas, the risk of exposure to people and animals is higher, especially in bathing areas. Co...https://video.osgeo.org/videos/embed/0630a4d6-86af-48be-b782-159b6b2d0f06https://video.osgeo.org/w/bt8PQVQB57Y1ob8C1Ys49Vhttps://video.osgeo.org/lazy-static/thumbnails/00ae6309-60ad-4036-9805-1eb49e357d79.jpgFOSS4GE 2024 | Pan-European open building footprints: analysis and comparison in selected countriesBuilding footprints (hereinafter buildings) represent key geospatial datasets for several applications, including city planning, demographic analyses, modelling energy production and consumption, disaster preparedness and response, and digital twins. Traditionally, buildings are produced by governmental organisations as part of their cartographic databases, with coverage ranging from local to national and licensing conditions being heterogeneous and not always open. This makes it challenging to derive open building datasets with a continental or global scale. Over the last decade, however, the unparalleled developments in the resolution of satellite imagery, artificial intelligence techniques and citizen engagement in geospatial data collection have enabled the birth of several building datasets available at least at a continental scale under open licenses. In this work, we analyse four such open building datasets. The first is the building dataset extracted from the well-known OpenStreetMap (OSM, https://www.openstreetmap.org) crowdsourcing project, which creates and maintains a database of the whole world released under the Open Database License (ODbL). OSM buildings are typically derived from the digitalisation of high-resolution satellite imagery, and in some case from the import of other databases with ODbL-compatible licenses. The second dataset is EUBUCCO (https://eubucco.com), a pan-European building database produced by a research team at the Technical University Berlin by merging different input sources: governmental datasets when available and open, and OSM otherwise [1]. EUBUCCO is mostly licensed under the ODbL, with only exceptions for two regions in Italy and Czech Republic. The third dataset is Microsoft Open Building Footprints (MS, https://github.com/microsoft/GlobalMLBuildingFootprints), extracted through the application of machine learning technology from high-resolution Bing Maps satellite imagery between 2014 and 2023, available at the globa...https://video.osgeo.org/videos/embed/54c54a67-ff4f-4d25-ab95-f1b5e7cb9d81https://video.osgeo.org/w/5rEbow1mPEFMfb5PodWpJ4https://video.osgeo.org/lazy-static/thumbnails/5375795a-65a9-4f54-a6b8-29698a85a39a.jpgFOSS4GE 2024 | Threats related to open geospatial data in the current geopolitical environmentFinland has been a strong proponent for open data for a long time. Since 2010, a significant amount of public sector data has been published openly, and much of this data is geospatial by nature. Accurate geospatial data with nation-wide coverage is highly valuable for many applications, including matters related to national security and military applications. When such information is provided as open data, it can also be used by other countries, including hostile nations. Furthermore, geospatial data can also be used by criminals and other malicious actors, and therefore there have always been possible threats related to open geospatial data. Traditionally, threats related to open geospatial data have been divided into two categories: threats to privacy and threats to national security. Threats to privacy have typically been handled carefully, as there are numerous datasets that pose obvious threats to privacy, such as accurate census data. Therefore, the public sector has developed mature best practices on how to handle privacy concerns, and there are also international guidelines to assess risks related to open data (Open Data Institute, 2022). For example, census or population registry data should never be published at an individual level, but the data should be aggregated to minimize the privacy risks. After the Balkan wars of the 90s, the majority of Europe has been in a state of deep peace. Therefore, the potential national security threats related to open geospatial data have been given relatively little attention. Potential threats from other nation states have been sidelined by other concerns, and often dismissed as irrelevant due to increased European integration. This is true even in Finland, which never downsized her army or dismantled the national preparedness organizations. The Russian invasion of Ukraine caused a rapid and radical change in the global geopolitical environment. In Finland this caused a radical shift in discussion about national se...https://video.osgeo.org/videos/embed/23f9ad77-4076-41cc-be10-1dc4e1200673https://video.osgeo.org/w/6gw5xYKiAQYZZLrqUK1u9Dhttps://video.osgeo.org/lazy-static/thumbnails/2610ce57-098f-4f12-a9fd-71a2b13e65f0.jpgFOSS4GE 2024 | Development of a QGIS based topographic data management systemThe National Land Survey of Finland (NLS) is rebuilding its topographic data management system using open-source components. The plan is to replace the current production system after the first phase of development in 2025. The goals of the renewal are: - Utilization of new technologies and standards - Advancement in the transition from producing map data to producing spatial data - Enhancement of the quality and timeliness of data - Enhancement of the production through automation and better tools In this talk, I will talk about the status of the development, elaborate the main objectives of the first phase and introduce the published OS components so far. In the first two years of the development the focus was on concurrent data management by 100 operators and on the integration of the stereo mapping tools (proprietary). In addition, we have designed and implemented OS quality assurance tools to ensure the logical consistency of the features concerning the attributes, the geometries, and the topology. These tools also include a topological rule set for topographic data management in PostgreSQL. Recently, we've added tools for managing the elevations of the features. Going forward, we plan to develop a custom feature search that combines data from multiple databases, layers and can also be adjusted for multiple attributes to search for. Some of our mapping requirements also necessitate field mapping, and we're also working on integrating our system with QField. Our field mapping requirements are quite specific. Our operators need to be able to use large quantities of data while also being offline in the field. To aid development, we've published plugins for operators, streamlining digitization workflows. Furthermore, we've contributed development tools for QGIS plugin developers. While the OS publications of service and client components for concurrent data management aren't yet on our roadmap, they remain as our final goal. Olli Rantanen https://ta...https://video.osgeo.org/videos/embed/2aa862e8-ed0c-4103-b7d3-e279d76ebe95https://video.osgeo.org/w/inmTKqaRqqehZmXTW9bqTihttps://video.osgeo.org/lazy-static/thumbnails/d6be94ca-12f8-453f-a442-c67154d8a005.jpgFOSS4GE 2024 | Maintaining topological consistency of simple features with QGIS tools & PostGIS ...This talk presents use of QGIS tools in topological editing of multiple simple features together and shows a SQL-based approach to checking the data in a PostGIS database to conform with given topological rules between multiple tables. When using simple features in a PostGIS database, topological relations are not handled with the data model, data is duplicated on shared segments and thus may contain differences on segments which should be shared and equal between all features on that egde, and in QGIS each modification must also consider the topological vertices and possibly make changes to other features as well. QGIS has built-in tools to handle some topological editing cases, this talk shows use cases for those and shows additional plugins available for making for example topological reshapes for shared segments, as if the segment was an edge in a topological data model. This talk also discusses SQL-based methods for checking the topological consistency. Simple checks shown include the built-in PostGIS functions like intersects or contains. More advanced cases show use of relate-checks for allowing certain types of intersections, or distance-based exists checks for requiring either connected or clearly separate features for topographic data modeling. These kind of SQL checks also allow maintaining complex topological relation checks based on attributes of the features, and for example a shoreline-lake relation can be checked fully inside state boundaries, and gaps are allowed on those parts of lakes outside of state boundaries. Antero Komi https://talks.osgeo.org/foss4g-europe-2024/talk/VAARDX/ Room: QFieldCloud (246) @ 03.07.2024 11:30:00 #foss4ge2024 #GeneralTrack #UseCasesApplicationshttps://video.osgeo.org/videos/embed/8ca6da07-6c6e-4be1-be3f-7143f95e4b0fhttps://video.osgeo.org/w/xzXRWDvxgHkpRUnpY45g9Nhttps://video.osgeo.org/lazy-static/thumbnails/877e6c50-0304-44c0-a51c-28087e4ef579.jpgFOSS4GE 2024 | A straightforward approach to field data collection with real world examplesThis talk will showcase how Mergin Maps, powered by QGIS, helps you capture data faster and collaborate effectively, using real-world examples. We'll skip the technical jargon and focus on practical solutions for capturing: - Animals & plants: Track locations directly from your phone, even with volunteers! - Infrastructure: Streamline data collection for pipes, cables, and more, using the same maps as your office team. - And more! Ditch pen & paper, spreadsheets, and clunky apps. Mergin Maps is open-source, free, and used by thousands for over 2 years. Easy-to-use mobile apps on Android & iOS require no training. A powerful server lets you store, version control, and collaborate on your QGIS projects seamlessly. Join us and discover how Mergin Maps can solve your field data collection challenges! Saber Razmjooei Peter Petrik https://talks.osgeo.org/foss4g-europe-2024/talk/C7CYPY/ Room: QFieldCloud (246) @ 03.07.2024 11:00:00 #foss4ge2024 #GeneralTrack #UseCasesApplicationshttps://video.osgeo.org/videos/embed/ffc944bb-0266-4cff-acbd-d0bb8d12d02ahttps://video.osgeo.org/w/j2UVt2UbaU7P66pfyWEG1shttps://video.osgeo.org/lazy-static/thumbnails/71979664-9d56-4d26-8210-fb931493cea3.jpgFOSS4GE 2024 | Open source solutions for managing crowdsourced geospatial dataCollecting geospatial data through crowdsourcing offers a rapid, cost-effective, and dynamic alternative to traditional methods. Despite facing challenges and limitations, integrating crowdsourced data with other available sources using open-source solutions effectively fills gaps in data sources. Southwest Finland's regional open data platform, Lounaistieto, integrates crowdsourcing into the collection and management of open regional information. Lounaistieto maintains two key crowdsourced open geospatial datasets: Service Point data and Recreational Data (Virma data). The knowledge of locations various services is vital for regional planning. Yet, no single data source in Finland openly provides information about both the public and private sector services. To overcome this deficiency, Lounaistieto has created an automated data pipeline that combines service points from two distinct sources into one database. Public sector data is sourced from the Finnish Service Catalogue, encompassing location and attribute information related to administration, rescue services, education, transportation, and well-being services. Private sector data is derived from OpenStreetMap, including information about tourism and cultural services. Daily automatic updates to the service point database through OGC web services ensure that the information remain up to date. The combined data is shared as an open API and visualized on a web map, enabling users to check attribute information and follow links to OSM for additional details. Another dataset, Virma recreation data is focused on recreational and nature tourism routes in southwest Finland, along with associated public services. Maintained through crowdsourcing using the Virma Maintenance tool, this process offers entrepreneurs, outdoors societies, and other bodies taking care of recreational infrastructure access to the digital information about the recreational routes. Building on this data, Lounaistieto has published an ope...https://video.osgeo.org/videos/embed/9208da98-415b-4d61-92db-550b5c32c10ahttps://video.osgeo.org/w/pzT243QhNz9BcUDALrxdtuhttps://video.osgeo.org/lazy-static/thumbnails/67b3579f-74f5-4684-b310-03c628bb94a5.jpgFOSS4GE 2024 | Open Source vs. Open Core for the Protomaps ProjectSince 2023, the Protomaps project has transitioned from an "Open Core" project to a fully open source one, centered around the PMTiles open data format. I'll go over the success stories of open sourcing, including grant funding and growth in features and contributions from across the OpenStreetMap ecosystem. I will showcase just a few of the dozens of production applications using Protomaps, and specifically highlight the tradeoffs in deployment methods and cloud vendors, such as static S3-like hosting vs. using a serverless runtime like Lambda or Cloudflare Workers. A new focus for 2024 has been public sector use, and I'll outline some specific challenges related to localization. Brandon Liu https://talks.osgeo.org/foss4g-europe-2024/talk/9DRDLV/ Room: LAStools (327) @ 03.07.2024 12:00:00 #foss4ge2024 #GeneralTrack #StateOfSoftwarehttps://video.osgeo.org/videos/embed/befd2cb5-3b6c-4499-ab97-cdc82e7f33d2https://video.osgeo.org/w/bULmK1xKn7T8ExKTjS7pWahttps://video.osgeo.org/lazy-static/thumbnails/0737cf92-3157-4d51-8e12-f0b3b94d748b.jpgFOSS4GE 2024 | Gleo Feature FrenzyGleo is a nascent javascript WebGL mapping library. It aims to find a niche alongside Leaflet, OpenLayers, MapLibre and Deck.gl. This library was presented at FOSS4G 2022. This will be a presentation of the features developed during the last year, including live examples, clustering, colour spaces, and vector field handling. ivansanchez https://talks.osgeo.org/foss4g-europe-2024/talk/H7SN38/ Room: LAStools (327) @ 03.07.2024 11:30:00 #foss4ge2024 #GeneralTrack #StateOfSoftwarehttps://video.osgeo.org/videos/embed/58596624-362b-4cbe-bc14-777d2023bb11https://video.osgeo.org/w/i98EzQ7uVVEixTktLP8MfLhttps://video.osgeo.org/lazy-static/thumbnails/a324e15a-54a6-44b9-918d-da315200640f.jpgFOSS4GE 2024 | Vector Mosaicking with GeoServerThe vector mosaic datastore is a new feature in GeoServer that allows indexing many smaller vector stores (e.g., shapefiles, FlatGeoBuf, Geoparquet) and serving them as a single, seamless data source. This has the advantage of cost savings when dealing with very large amounts of data in the cloud, as blob storage bills at a fraction of an equivalent database. It is also faster for specific use cases, e.g, when extracting a single file from a large collection and rendering it fully (e.g. tractor tracks in a precision farming application). Attend this presentation to learn more about vector mosaic setup, tuning, migration from large relations databases, and real world experiences. Andrea Aime https://talks.osgeo.org/foss4g-europe-2024/talk/J7NLAK/ Room: LAStools (327) @ 03.07.2024 11:00:00 #foss4ge2024 #GeneralTrack #UseCasesApplicationshttps://video.osgeo.org/videos/embed/8ace07ff-aa04-48ce-858a-562bb6b5f474https://video.osgeo.org/w/gFrKVRbb9MRxGrXDoGH8Krhttps://video.osgeo.org/lazy-static/thumbnails/504dc037-e24a-4ace-bff9-d517eb33a7b1.jpgFOSS4GE 2024 | MapLibre Tiles: Introducing The Next Generation Vector Tiles FormatThis talk introduces a new vector tiles format called MapLibre Tiles (MLT), which offers a significant tile size reduction and accelerated decoding performance compared to the de-facto standard Mapbox Vector Tiles (MVT). MLT also adds support for missing features like nested properties, linear referencing and M-values. The design of MLT is influenced by the latest research results on big data analytics formats and adapted for the map visualization use case. Our evaluation against MVT on a OpenMapTiles schema based tileset shows a reduction in tile size of nearly up to 80% with even faster decoding times. Moreover, on a already highly optimized Bing Maps tileset, MLT achieves reductions of up to 40% in size. Based on these results, Microsoft generously donated to MapLibre to integrate MLT into the mapping stack. Additionally, we will explore how next-generation map rendering libraries can leverage SIMD and WebGPU compute shaders for processing to fully utilize the potential of MLT. Markus Tremmel https://talks.osgeo.org/foss4g-europe-2024/talk/QC8L7A/ Room: LAStools (327) @ 03.07.2024 10:30:00 #foss4ge2024 #GeneralTrack #StateOfSoftwarehttps://video.osgeo.org/videos/embed/7efaf5e2-3a15-42dd-a000-595d7a79e23bhttps://video.osgeo.org/w/9J442XgxFX42GVzrZugsX1https://video.osgeo.org/lazy-static/thumbnails/588d5cc6-4207-4747-ac2a-822f8fd2f0f0.jpgFOSS4GE 2024 | Building Enterprise GIS with FOSS4GEnterprise GIS is often understood to be only a marketing term for big companies and public institutions to purchase more software and services. Enterprise GIS can be built with FOSS4G (Free and Open Source Software for Geospatial). In this talk, I will cover basics of enterprise architecture and real world examples of how to use FOSS4G to build sustainable and affordable solutions for enterprises. Enterprise GIS is an organisation-wide collection of interoperable GIS softwares to manage and process geospatial information. Enterprise GIS will follow basic principles of enterprise architecture. Enterprise GIS architecture is based on three layers: User Interface, Application Server and Data Storage layers. In this talk, I will give best practices to define and design Enterprise GIS architecture. This presentation is targeted to ICT and GIS experts to better understand how to build Enterprise GIS with FOSS4G. After the presentation, you understand how to start the design and implementation of Enterprise GIS. You also have basic knowledge on how to use FOSS4G to build Enterprise GIS. Pekka Sarkola https://talks.osgeo.org/foss4g-europe-2024/talk/KKHBLB/ Room: GEOCAT (301) @ 03.07.2024 12:00:00 #foss4ge2024 #GeneralTrack #TransitionToFoss4Ghttps://video.osgeo.org/videos/embed/46a83a8a-1573-4f2a-af59-7eaad5033096https://video.osgeo.org/w/vDoE4v14x9mXCsX9mm8Gsbhttps://video.osgeo.org/lazy-static/thumbnails/1d761a2c-e615-472b-8ce3-a7a9c304cf12.jpgFOSS4GE 2024 | A fun way to do spatial cataloguing and publishing using pygeometa and mdmeMetadata, YAML files and pipelines? When I try to convince my colleagues that the approach mentioned in this presentation is fun, they look at me alienated. This presentation will highlight the usage of pygeometa, mdme and DevOps workflow in two projects from different domains of interest. Land-Soil-Crop data ================ ISRIC is endorsing the pygeometa MCF format, a YAML-based representation originally developed as a subset of ISO 19115 metadata, advertised by the pygeometa community as 'Metadata Creation for the Rest of Us'. YAML reads much better then XML, and is optimal for content versioning in Git. But YAML comes with its peculiarities, such as strict indenting and reserved characters. 'Average users should not look at code, instead use shiny (web) interfaces' is a quote often used, but we're not used to reverse the quote: "As a DevOps engineer I hate shiny interfaces. I want to look at code, see the history of that code, who changed what, when, and how can I fix it". This is where the fun part of pygeometa MCF comes in. CI/CD pipelines which run on content changes validate the YAML format and report errors to the submitters. Should we then fully neglect the basic user? Of course not! So we crafted web based forms that generate mcf (osgeo.github.io/mdme) and have import options for Excel sheets (every column is a metadata field). Consider that many data scientists (fortunately) are used to placing a README.md in any project folder. We just ask them to structure the content using YAML. We added an inheritance mechanism, so common properties (contact details, usage constraints) are inserted only once and inherited by lower levels in the folder hierarchy. And embedded metadata is extracted from data files (bounds, projection, format) or online sources. All this metadata is crawled to a central search index (pycsw/pygeoapi/geonetwork). To increase the participatory experience we added 'Edit me on GIT' links to each of the records, which brings users ...https://video.osgeo.org/videos/embed/f01180c5-b7dc-445a-ab52-8fe8079bf1e6https://video.osgeo.org/w/j1x7mqMZALsh5wG9xrEBHghttps://video.osgeo.org/lazy-static/thumbnails/bbabf07f-30c2-4e74-9f4b-cee0e6d7a3f6.jpgFOSS4GE 2024 | pygeoapi mid-year updatepygeoapi is an OGC API Reference Implementation. Implemented in Python, pygeoapi supports numerous OGC APIs via a core agnostic API, different web frameworks (Flask, Starlette, Django) and a fully integrated OpenAPI capability. Lightweight, easy to deploy and cloud-ready, pygeoapi's architecture facilitates publishing datasets and processes from multiple sources. The project also provides an extensible plugin framework, enabling developers to implement custom data adapters, filters and processes to meet their specific requirements and workflows. pygeoapi also supports the STAC specification in support of static data publishing. pygeoapi has a significant install base around the world, with numerous projects in academia, government and industry deployments. The project is also an OGC API Reference Implementation, lowering the barrier to publishing geospatial data for all users. This presentation will provide an update on the current status, latest developments in the project, including new core features and plugins. In addition, the presentation will highlight key projects using pygeoapi for geospatial data discovery, access and visualization. Tom Kralidis Paul van Genuchten Angelos Tzotsos Just van den Broecke Joana Simoes https://talks.osgeo.org/foss4g-europe-2024/talk/EQSNSK/ Room: GEOCAT (301) @ 03.07.2024 11:00:00 #foss4ge2024 #GeneralTrack #StateOfSoftwarehttps://video.osgeo.org/videos/embed/91d7aaf5-24cf-4046-ab92-07a7c0eb0825https://video.osgeo.org/w/rKywH7npagacyxhF7KTyqChttps://video.osgeo.org/lazy-static/thumbnails/ac9461de-3aed-4e17-9306-081df23e612a.jpgFOSS4GE 2024 | GeoNetwork - State of the ArtThe GeoNetwork opensource project is a catalog application facilitating the discovery of data, services and applications within any local, regional, national or global "Spatial Data Infrastructure" (SDI). GeoNetwork is an established technology - recognized as an OSGeo Project and a member of the FOSS4G community since the early days. The GeoNetwork team would love to share what we have been up to and talk about the different projects that have contributed functionality to the software during the last twelve months. Our rich ecosystem of schema plugins continues to improve; with national teams pouring fixes, improvements and new features into the core application. GeoNetwork is the backend of the European INSPIRE Geoportal and over 80% of national geospatial catalog end points for INSPIRE. We will discuss a number of developments that are foreseen to evolve easy access to geospatial open data and other open data. How do we work with expert communities to make sure GeoNetwork does what it is expected to do? We will also talk about the UI revamp through the geonetwork-ui framework, and the new perspectives it could bring to your catalogs. Progress of our main branches (4.4.x), and release schedule. Attend this presentation for the latest from the GeoNetwork community and this vibrant technology platform. Florent Gravin Jeroen Ticheler https://talks.osgeo.org/foss4g-europe-2024/talk/WQJJ3N/ Room: GEOCAT (301) @ 03.07.2024 10:30:00 #foss4ge2024 #GeneralTrack #StateOfSoftwarehttps://video.osgeo.org/videos/embed/d0897edf-d4db-420d-9456-96d66ba2523chttps://video.osgeo.org/w/cueUqptXPzANkdstNsKqZHhttps://video.osgeo.org/lazy-static/thumbnails/a66844ab-1ab8-43da-a1bc-33a1de6c3a2a.jpgFOSS4GE 2024 | Building a New Rendering Backend for MapLibre Native: Industry Collaboration in FOSSFostering organic contributions from volunteers is sometimes seen as the only path towards a sustainable FOSS project. This talk will challenge that common wisdom. We will look at some of the engineering and the organization behind a complex year-long project: building a new rendering backend for MapLibre Native. This was delivered by a team of professional graphics engineers in a collaboration with AWS and Meta. What can other FOSS projects learn from this success story? Bart Louwers https://talks.osgeo.org/foss4g-europe-2024/talk/SBRTLT/ Room: Destination Earth (Van46 ring) @ 03.07.2024 12:00:00 #foss4ge2024 #GeneralTrack #CommunityFoundationhttps://video.osgeo.org/videos/embed/5d05eb5a-3251-405c-929c-5552160cef4bhttps://video.osgeo.org/w/nTiEGEBJVEAdEvmbQpV2gDhttps://video.osgeo.org/lazy-static/thumbnails/69e4c615-9181-4bcb-97e5-23f8455875fd.jpgFOSS4GE 2024 | QGIS Feature FrenzyQGIS releases three new versions per year and each spring a new long-term release (LTR) is designated. Each version comes with a long list of new features. This rapid development pace can be difficult to keep up with, and many new features go unnoticed. This presentation will give a visual overview of some of the most important new features released over the last calendar year. In March of 2024 a new Long-term release was published (3.34), and shortly before FOSS4G, the latest stable version of QGIS (3.38) will be released. I will start by comparing the new LTR (3.34) to the previous (3.28). Here I will summarize by category the new features found in the latest LTR (GUI, processing, symbology, data providers etc.). I will then turn my attention to the most important new features found in the latest releases (3.36 & 3.38). Each highlighted feature will not simply be described, but will be demonstrated with real data. The version number for each feature will also be provided. If you want to learn about the current capabilities of QGIS, this talk is for you! Potential topics include: * GUI enhancements * New Expressions * Point cloud support * Data Providers * Processing *3D * Editing Kurt Menke https://talks.osgeo.org/foss4g-europe-2024/talk/QRPR7F/ Room: Destination Earth (Van46 ring) @ 03.07.2024 11:30:00 #foss4ge2024 #GeneralTrack #StateOfSoftwarehttps://video.osgeo.org/videos/embed/b139bb62-2287-4115-9e93-4accdd661ee7https://video.osgeo.org/w/7vnbQNLj4NHHdFNduD5Jenhttps://video.osgeo.org/lazy-static/thumbnails/7dd3b2f9-a150-46bf-9559-8221c8b9e499.jpgFOSS4GE 2024 | Status of GRASS GIS projectThis talk will give a comprehensive overview of the latest developments and progress of the GRASS GIS project for users and developers. The talk will cover topics relevant for integrating GRASS GIS engine into existing workflows. We will dispel some common misconceptions about the project, such as "it's just a command line", "it's just a desktop GIS", “it's a QGIS plugin” and "it's been around for a long time, so it must be well funded". Many potential users perceive GRASS GIS as difficult to use. During the talk, we'll cover different improvements to the graphical interface that are aimed at addressing this problem. The switch to a mature single-window layout, an easier startup, streamlined data management and the upcoming command history pane are all improvements attempting to increase user-friendliness and make it easier for newcomers to adopt GRASS GIS. The talk will also go through a series of improvements relevant for industry and academic users to facilitate the integration of GRASS data processing and analytic tools in their workflows using Python or R, either on the command line or in the cloud. Examples of these improvements are the parallelisation of many modules with OpenMP enabling accelerated processing of large data sets and the stricter compiler configurations ensuring code quality in C, C++ and Python. Finally, the latest community activities and funding opportunities will be presented. Veronica Andreo https://talks.osgeo.org/foss4g-europe-2024/talk/LFQJG7/ Room: Destination Earth (Van46 ring) @ 03.07.2024 11:00:00 #foss4ge2024 #GeneralTrack #StateOfSoftwarehttps://video.osgeo.org/videos/embed/34b0754c-3eb3-435f-ba48-9f405bfa8d5fhttps://video.osgeo.org/w/87rifXw5YaTJgQS6r3Ru53https://video.osgeo.org/lazy-static/thumbnails/e15d0fd4-97e8-4472-9a5c-d96fab05d71c.jpgFOSS4GE 2024 | State of GDAL: what's new in 3.8 and 3.9?We will give a status report on the GDAL software, focusing on recent developments and achievements in the 3.8 and 3.9 GDAL versions released during the last year. The discussed topics will be as various as the scope of GDAL is, covering: - new vector drivers: JSONFG for the in-development OGC Features and Geometries JSON specification, PMTiles (ProtoMap Tiles) v3 for tiled vector datasets - new raster drivers for IHO standards: S-102, S-104 and S-111 for bathymetric surface products, water level information for surface navigation and Surface Current products - a new command line utility: gdal_footprint - a new raster driver, GDAL Tile Index, to manage mosaics of many many files - enhancements in the Arrow interface and GeoParquet driver - performance improvements in the GeoPackage driver Even Rouault https://talks.osgeo.org/foss4g-europe-2024/talk/GWTAKQ/ Room: Destination Earth (Van46 ring) @ 03.07.2024 10:30:00 #foss4ge2024 #GeneralTrack #StateOfSoftwarehttps://video.osgeo.org/videos/embed/399605fe-1f81-4970-ba38-a7159f39bb82https://video.osgeo.org/w/8oynr1hkJNzaeKJgsPDB55https://video.osgeo.org/lazy-static/thumbnails/8c310b29-5e8f-4c6a-869e-61297ad32802.jpgFOSS4GE 2024 | Bridging Horizons: From Geoinformation to Meteorology and Beyond - A Journey of ...In this keynote I want to share my journey from the world of Geoinformation - specifically the FOSS4G and open standards community - to the Meteorology community. What are the lessons learned, the challenges and the rich and manifold opportunities available at the intersection of these dynamic fields. I want to share with you my personal perspective on how collective efforts as Earth Sciences community in fostering interdisciplinary bridges can lead to innovative solutions for our planet’s challenges. In sharing my story, I intend to highlight the synergies between geoinformation and meteorology, illustrating how these interconnected disciplines can complement and enhance one another and how we as a Earth Sciences community can benefit as a whole. Athina Trakas https://talks.osgeo.org/foss4g-europe-2024/talk/HZXTEA/ Room: Destination Earth (Van46 ring) @ 03.07.2024 09:30:00 #foss4ge2024 #GeneralTrack #Keynotehttps://video.osgeo.org/videos/embed/3bd6482f-7846-443a-9754-8c8b647d6c90https://video.osgeo.org/w/1DWeSszuqR2pj4SW2swHdchttps://video.osgeo.org/lazy-static/thumbnails/0248391c-4f0b-40e4-a3bc-cabbf1d26802.jpgFOSS4GE 2024 | Ideas about OSGeo, a European OSGeo and our conferencesWe would like to briefly introduce OSGeo to you and trigger your interest in contributing to our mission. While our geospatial projects thrive, OSGeo also faces challenges. These include community involvement, our relationship with other FOSS foundations, financial health of the foundation, professionalisation of both OSGeo as a foundation and FOSS4G conference organisation, stricter requirements around information and IT security and the need for an OSGeo Europe foundation. All examples where OSGeo needs your involvement as a community member. We would like to kick start a round of discussions during this conference and follow up on those topics during Bird of a Feather sessions and online through existing or ad-hoc committees. Ilie Codrina Jeroen Ticheler https://talks.osgeo.org/foss4g-europe-2024/talk/TNAUPG/ Room: Destination Earth (Van46 ring) @ 03.07.2024 09:15:00 #foss4ge2024 #GeneralTrack #Plenaryhttps://video.osgeo.org/videos/embed/054bf20f-4ea3-4d59-bbd5-17bb090180f7https://video.osgeo.org/w/fdfQufNPp7366aLYzc9moZhttps://video.osgeo.org/lazy-static/thumbnails/29f24877-9859-428b-95f3-30863e764d44.jpgFOSS4GE 2024 | Opening ceremonyYes! The wait is finally over. It's been too long since the last FOSS4GE conference at Guimarães, Portugal 6 years ago. The FOSS4GE 2024 LOC team is honoured to welcome you to Tartu for this festival of free and open source for geospatial and the community that surrounds it. Features welcome addresses by the FOSS4G Europe 2024 LOC, the city of Tartu, and the University of Tartu. https://talks.osgeo.org/foss4g-europe-2024/talk/VTBCWJ/ Room: Destination Earth (Van46 ring) @ 03.07.2024 09:00:00 #foss4ge2024 #GeneralTrack #Plenaryhttps://video.osgeo.org/videos/embed/7316026d-551f-4bb3-b214-d29da774f195https://video.osgeo.org/w/7TceHnKw2AJsukPVffCAYxhttps://video.osgeo.org/lazy-static/thumbnails/49ebe544-f9e3-4427-9038-42d0591b9a7e.jpgFOSS4GE 2024 | Where is the free, very high-resolution imagery?Massive Earth Observation imagery datasets are now available publicly and freely. However, free, very high-resolution imagery (less than 1m/pixel) is expensive and not easily accessible. Such imagery is particularly critical to aid disasters, but still, we are struggling to find and use it. Why is this the case? Where is very high-resolution imagery, and where is the one that enables us to create solutions freely to contribute to society? Starting from the Türkiye & Syria Earthquake on February 6, 2023, I've contributed to OpenAerialMap (openaerialmap.org) by processing and uploading Maxar imagery for disasters, such as Morocco and Nepal. I'd like to critically discuss the current state of VHR imagery and present my experience, challenges, and suggestions for improved availability in the context of disaster mapping. I want to touch upon the following topics: - Where is very high-resolution imagery? - How is it being used? - Why are they not free to use? - Still, where can we reach them? - Why do we need better access? Batuhan Kavlak https://talks.osgeo.org/foss4g-europe-2024/talk/JKKPQT/ Room: QFieldCloud (246) @ 05.07.2024 11:30:00 #foss4ge2024 #GeneralTrack #OpenDatahttps://video.osgeo.org/videos/embed/37bcb05d-bec4-4100-bad8-c640bc42da97https://video.osgeo.org/w/27LcdN2wkAVoZz5rHSQWiVhttps://video.osgeo.org/lazy-static/thumbnails/ed7a868c-4501-446b-be23-147a91ad2667.jpgFOSS4GE 2024 | Building the modern GIS Web StackUsing the technologies: - Database - Postgres + postgis - Backend - Python + fastAPI - Frontend - React + maplibre - Deployment - Docker We will delve into the cutting-edge landscape of Geospatial Information Systems (GIS) through the lens of a modern custom web stack. The backbone of our system lies in the backend, where Python's fastAPI takes center stage, providing a seamless and efficient foundation for handling geospatial data. From routing to authentication, fastAPI ensures optimal performance. On the frontend, we embrace the power of React, creating a dynamic and interactive user interface. Maplibre, an open-source mapping library, is our choice for rendering stunning maps, delivering a captivating user experience. The combination of React and Maplibre transforms data into meaningful visualizations, making complex geospatial information easily accessible which can be further extended to native mobile apps seamlessly as well. The heart of our GIS web stack is the robust database system, featuring PostgreSQL and its spatial extension, PostGIS. This powerful combination allows for efficient storage, retrieval, and analysis of geospatial data, unleashing the full potential of location-based insights. We will explore the rich ecosystem surrounding PostgreSQL and PostGIS, with extensions like mobilityDB, and uber h3 showcasing the versatility and extensibility they bring to the table. Our entire GIS web stack is encapsulated in Docker containers to ensure seamless deployment and scalability. This containerization facilitates deployment on any cloud platform, providing flexibility and ease of management. We will guide you through the Dockerization process, empowering you to deploy your custom GIS solution effortlessly in the cloud. Jashanpreet Singh https://talks.osgeo.org/foss4g-europe-2024/talk/GKFH33/ Room: GEOCAT (301) @ 04.07.2024 17:30:00 #foss4ge2024 #GeneralTrack #UseCasesApplicationshttps://video.osgeo.org/videos/embed/090ad622-a81e-41cd-9d1d-b599dc77c627https://video.osgeo.org/w/fgzfkTNyQP7qvhNJgZrktDhttps://video.osgeo.org/lazy-static/thumbnails/f24c0db3-e25f-4735-850b-08b30a6ae4d2.jpgFOSS4GE 2024 | Towards automation of river water surface detectionIt is well known that climate change impacts are increasingly affecting European territory, often in the shape of extreme natural events. Among those, in recent years, heat waves due to global warming contributed to the acceleration of drying process. Particularly, the Mediterranean areas are expected to face extraordinary hot summer and increasingly frequent drought events, which may clearly affect the population. As a partial confirmation of this forecast, in between 2022 and 2023 Southern Europe was affected by lasting drought conditions, which had several outcomes on the ecosystems. As an example, in Po River (the longest Italian water stream) the worst water scarcity of the past two centuries was recorded (Montanari et al., 2023). Experts agreed on the exceptionality of the phenomenon, stating nevertheless the repeatability of such events in near future (Bonaldo et al., 2022). Willing to face them, local authorities expressed the need of tools for monitoring the impacts of drought on rivers, so to be capable of promptly enacting countermeasures. In this context, the authors partnered with Regione Lombardia for building a procedure oriented at the exploitation of Copernicus Sentinel-1 (SAR) and Sentinel-2 (optical) sensor fusion for water surface mapping, applied in the case study of Po River (Conversi et al., 2023), based on supervised classification of combined optical and SAR imagery. The current work will present an evolution of the proposed methodology, which includes a considerable effort towards the full automation of the process, a necessary step for making it user friendly for public administration. The designed procedure, built in Google Earth Engine, is based on the combination of three images, namely the S-1 VV speckle filtered band (Level 1, GRD) and the spectral indices Sentinel Water Mask and NDWI derived from S-2 (Level 1-C, orthorectified). Input imagery is selected to ensure complete coverage of the area of interest, with mosaicking if ne...https://video.osgeo.org/videos/embed/738c9650-40d3-4b65-8c46-4988438b2647https://video.osgeo.org/w/sExKZP8ZxLdmkNTcYwzotuhttps://video.osgeo.org/lazy-static/thumbnails/2808c1f6-272f-4377-b79f-1da6f0dd4445.jpgFOSS4GE 2024 | Navigate urban scenarios with MapStore 3D toolsThis presentation focuses on the use of MapStore to navigate urban scenarios using its 3D tools and capabilities. Latest versions of MapStore include improvements and tools related to the exploration of 3D data such as Map Views, Styling, 3D Measurements, Annotations and more. Support for 3D Tiles and glTF models through the Cesium mapping library has also been greatly enhanced to provide support for more powerful integration. Attendees will be presented with an overview of our work related to 3D data visualizations and a selection of use cases around the following topics: visualization of new projects for urban planning, relations between different levels of a city and descriptions of events inside a city. At the end of the presentation attendees will be able to use the presented workflows to replicate them on different urban scenarios using the 3D tools of the MapStore WebGIS application. Lorenzo Natali Stefano Bovio https://talks.osgeo.org/foss4g-europe-2024/talk/TXRLMC/ Room: QFieldCloud (246) @ 04.07.2024 12:00:00 #foss4ge2024 #GeneralTrack #UseCasesApplicationshttps://video.osgeo.org/videos/embed/d7ef70b9-8513-47b9-9033-2e0f87ed919ahttps://video.osgeo.org/w/4jT28by4JDssa75nKsxtLZhttps://video.osgeo.org/lazy-static/thumbnails/11d52756-22b0-4f63-a966-d57606702fdf.jpgFOSS4GE 2024 | Exploring the use of 3D tiles in QGIS - case HelsinkiThe QGIS version 3.34 introduced support for Cesium 3D tiles. At the same time there is a growing number of 3D data published as 3D tiles. This is also true for the city of Helsinki, Finland, that has published diverse datasets as open data, including textured and untextured buildings, terrain data, and photogrammetry-derived mesh models. Mobility Lab Helsinki is a test bed for smart mobility, which is a common effort between Forum Virium Helsinki and Business Helsinki. Mobility Lab Helsinki is running several agile pilot projects and one of them in the beginning of 2024 dealt with developing the mobility digital twin of Helsinki. We at Gispo conducted a pilot project that aimed to develop QGIS-based workflows for Helsinki to enhance the use of 3D data and 3D data production processes. In this pilot we integrated 3D tile datasets into QGIS and thoroughly tested out the 3D tile features. One aspect of the project was to identify use cases within the organization of the city of Helsinki and to explore ways for them to benefit more from the 3D data available. By providing easier access to 3D data and facilitating integration with other spatial datasets, the pilot seeked to enable more comprehensive analysis and decision-making in urban planning. We learned that with the new support for 3D tiles in QGIS, the accessibility of using such data is improved. With a growing enthusiasm around digital twins, we see that 3D tiles support in QGIS is a welcomed feature, though still in its infancy. We found that at the moment it is possible for organizations to use 3D tiles in QGIS, primarily for visualization purposes but also for rudimentary measuring. However, taking into account the wide spectrum of other features in QGIS, it is only a matter of time until we can see some spectacular applications where 3D tiles meet more traditional spatial data. Timo Aarnio Meri Malmari Emil Ehnström https://talks.osgeo.org/foss4g-europe-2024/talk/JGPJGX/ Room: QFieldCloud (246)...https://video.osgeo.org/videos/embed/1aee3ee2-c5b5-4f59-bd9d-27b0f4423295https://video.osgeo.org/w/83G1prWknWBCZWn5ubzKGZhttps://video.osgeo.org/lazy-static/thumbnails/930bdb50-13d5-4e5e-9bc9-af7c13046ecc.jpgRétrospective 2024 des contributions au site principal de GeotribuVidéo réalisée par Guilhem avec le logiciel Gource (https://gource.io) à partir de l'historique Git du dépôt https://github.com/geotribu/website en suivant [le guide de contribution de Geotribu](https://contribuer.geotribu.fr/internal/video_contributions_gource/). Merci aux personnes ayant contribué cette année : - Arnaud Vandecasteele - Benjamin Chartier - Céline Pornin - Delphine Montagne - Émilie Bigorne - Florent Fougères - Florian Boret - Guilhem Allaman - Jean-Baptiste Desbas - Julien Moura - Jérémy Garniaux - Laurent Jégou - Loïc Bartoletti - Maxime Salles - Michaël Galien - Nicolas Godet - Nicolas Roelandt - Quy Thy Truong - Romain Lacroix - Thomas Szczurek-Gayant - Tristram Gräbener https://video.osgeo.org/videos/embed/39101d03-465e-491c-8894-c5d1254e9b1dhttps://video.osgeo.org/w/8MnP8mSJoFPFBbP6bQtcpmhttps://video.osgeo.org/lazy-static/thumbnails/adb3df39-05d3-4b3f-960f-fcc956f181fb.jpgCityForge : plugin QGIS de visualisation de bâtiments 3DCette vidéo montre l'utilisation du plugin CityForge dans QGIS. Il permet de visualiser des bâtiments 3D dans QGIS en générant un fichier cityJSON. Il exploite divers composants logiciels open source. Cette vidéo présente les travaux réalisés grâce au soutien du gouvernement français dans le cadre de France 2030 et de l'Union européenne - Next Generation EU dans le cadre du plan France Relance.https://video.osgeo.org/videos/embed/3f05e1f9-fd6f-44da-a520-094f2add8c0ehttps://video.osgeo.org/w/kbA16HRjMuME9a7L1i2fDUhttps://video.osgeo.org/lazy-static/thumbnails/edad857a-f077-493d-816b-88234bbc6845.jpgqgis-venv-creator demonstrationUse [qgis-venv-creator](https://github.com/GispoCoding/qgis-venv-creator?tab=readme-ov-file#qgis-venv-creator), a Gispo Coding project that helps a lot to generate a Python virtual environment to work on QGIS plugins. See the full tutorial: - [in English](https://blog.geotribu.net/2024/11/25/creating-a-python-virtual-environment-for-pyqgis-development-with-vs-code-on-windows/) - [in French](https://geotribu.fr/articles/2024/2024-11-25_pyqgis_environnement_dev_windows/)https://video.osgeo.org/videos/embed/9b5806ca-d489-443f-8edc-d6be9b9a83c6https://video.osgeo.org/w/fxT47w9dx8XJNM4MWc8kLDhttps://video.osgeo.org/lazy-static/thumbnails/51d0146f-2f00-4537-891a-1637dcd6d18f.jpgReview of vrpRouting PRs (part 2)Description on PR #57 to #61 of vrpRouting (Sorry part 1 was broken, so could not upload)https://video.osgeo.org/videos/embed/75d37607-2e76-4b3d-be2b-e7cd20d4dc11https://video.osgeo.org/w/vKrXYq1rrQ8gQ69Qkd3PU1https://video.osgeo.org/lazy-static/thumbnails/7bd79836-97dd-4b54-9d51-84f1ced85cd9.jpgvrprouting move C to CPPReview of PR [63](https://github.com/pgRouting/vrprouting/pull/63) of vrpRoutinghttps://video.osgeo.org/videos/embed/f0ea0139-1c06-45e3-a30d-bc666d769a54https://video.osgeo.org/w/j1YQtEbt47NPnNNkBGFLnxhttps://video.osgeo.org/lazy-static/thumbnails/2bb30317-bbee-42ab-9c04-a343d72a707e.jpgDemonstration of Piero, the 3D web visualization application for BIM/GIS dataDemonstration of Piero, the 3D web visualization application for BIM/GIS data Sample dataset from Paris La Défense, France. The video specifically shows how to visualize underground data.https://video.osgeo.org/videos/embed/91e785ae-4fa0-4b67-b228-8ccbfe397849https://video.osgeo.org/w/42PpwgoJG1PDMA6TMfNNbAhttps://video.osgeo.org/lazy-static/thumbnails/c7186e44-9e8d-4ced-8bb7-7b6cc4934273.jpgPiero, the 3D web visualization application for GIS/BIMDemonstration of Piero, the 3D web visualization application for BIM/GIS data Sample dataset from Paris La Défense, France.https://video.osgeo.org/videos/embed/188c5fdc-6ed5-43fe-a59d-908b5ced894ehttps://video.osgeo.org/w/x23KND33KpGkrfWyJXgWUZhttps://video.osgeo.org/lazy-static/thumbnails/31d40890-c116-4b7d-9f8e-ef03fcb9ec1c.jpgGiro3D showcasing Google Photorealistic 3D TilesGiro3D showcasing Google Photorealistic 3D Tiles Google provides a 3D Tiles dataset, with major cities in the world rendered as 3D textured meshes. Giro3D is able to display this dataset, alongside other 3D data. In this example, we show a LIDAR HD from IGN completing a missing 3D Tile, mixing 3D meshes with pointclouds.https://video.osgeo.org/videos/embed/fb30bd7e-5124-46b6-8695-9f800a1b27a1https://video.osgeo.org/w/pdgdy4eX5tjMwJ1F3aTXrRhttps://video.osgeo.org/lazy-static/thumbnails/8141451c-4dec-4b22-a25c-921ae9093fe0.jpgGiro3D dynamic shadowsThis video demonstrate dynamic shadows on a building layers, using the Giro3D 3D web visualization library ( https://giro3d.org ).https://video.osgeo.org/videos/embed/bbf87deb-8929-4f27-bfda-3959a880cd1fhttps://video.osgeo.org/w/peSsSmiZJCnWE2crn4zvDWhttps://video.osgeo.org/lazy-static/thumbnails/d75ebf78-8ec7-405d-8766-ba944c765bb4.jpgGiro3D feature tourThis video showcases some of Giro3D capabilities in terms of 3D geospatial data visualization.https://video.osgeo.org/videos/embed/bc31f50f-89e9-4110-9ea1-bc91f7531ee4https://video.osgeo.org/w/84uTak6FbWRGbzkUYbTqwghttps://video.osgeo.org/lazy-static/thumbnails/b6bbd545-393b-44bc-8b2b-e5ef7d99080a.jpg00 Rencontres QGIS fr 2024 Ouverture00 Rencontres QGIS fr 2024 Ouverturehttps://video.osgeo.org/videos/embed/392d004b-20de-4369-adeb-da83d9c6af53https://video.osgeo.org/w/tUTSvN32GPRevqyCWLPMZFhttps://video.osgeo.org/lazy-static/thumbnails/6d9f913a-2257-49f6-91a4-23d6ae2604f7.jpg02 Rencontres QGIS fr 2024 MerginMaps02 Rencontres QGIS fr 2024 MerginMapshttps://video.osgeo.org/videos/embed/e20962ee-9c09-435c-b59d-37e74db31f3dhttps://video.osgeo.org/w/hLC3JMHWys8f8dvV7K94BShttps://video.osgeo.org/lazy-static/thumbnails/9486157e-9706-4c2f-811a-b488f7a9e3fa.jpg03 Rencontres QGIS fr 2024 actions QGIS Véloroutes et Voies Vertes,03 Rencontres QGIS fr 2024 actions QGIS Véloroutes et Voies Vertes,https://video.osgeo.org/videos/embed/87cd28c9-083e-45ba-a8c2-012d983621fchttps://video.osgeo.org/w/hAuB4Ze4gE2fgq9upbdxGmhttps://video.osgeo.org/lazy-static/thumbnails/8102cb86-d2e4-4ad9-8b61-005fc3edc3e2.jpgQChat Demo - QTribu QGIS plugin - QField pluginDemo video of QChat, in the QTribu QGIS plugin as well as in the QField plugin. Context: demo during #QGISFR2025 - fr QGIS users days in Avignonhttps://video.osgeo.org/videos/embed/8663228d-7d97-489c-9ce8-14727c92cf60https://video.osgeo.org/w/3r2owDEsxskq7HEyLUw3erhttps://video.osgeo.org/lazy-static/thumbnails/2e0033db-eaae-407b-aac8-88d8ee68b280.jpgQGISFR2025 - GeoInterview d'Augustin Soulard (BIODIV) et Félix Hinckel (Ageona Cartographie)QGISFR2025 - GeoInterview d'Augustin Soulard (BIODIV) et Félix Hinckel (Ageona Cartographie)https://video.osgeo.org/videos/embed/13b0ba2a-c37f-4d90-a55e-6b92914260c3https://video.osgeo.org/w/rwnCT18e3U4NxX1wBgigU8https://video.osgeo.org/lazy-static/thumbnails/8bfbf136-bb76-4aa7-92aa-9bc88dfff4f0.jpgQGISFR2025 - GéoInterview de Loïc Moisan (GeomaticO Services)QGISFR2025 - GéoInterview de Loïc Moisan (GeomaticO Services)https://video.osgeo.org/videos/embed/ceb21cf8-7b81-4016-8aed-14b10c65eee3https://video.osgeo.org/w/9mMsyfpKj52kwtgvQoRKLnhttps://video.osgeo.org/lazy-static/thumbnails/7524fecc-1174-44f9-8e84-eee3ed387554.jpgQGISFR2025 - GeoInterview de Thomas Szczurek-Gayant (Métropole Européenne de Lille)QGISFR2025 - GeoInterview de Thomas Szczurek-Gayant (Métropole Européenne de Lille)https://video.osgeo.org/videos/embed/43afffc3-e4f4-4ebd-9040-45224808bbe1https://video.osgeo.org/w/uwMrY2LUAZ8p5dTxfMoXCHhttps://video.osgeo.org/lazy-static/thumbnails/4f67823c-c2f9-4bea-ae51-8b09d7f61222.jpgQGISFR 2025 - GeoInterview de Quentin RUAUD (Université Bretagne Occidentale)QGISFR 2025 - GeoInterview de Quentin RUAUD (Université Bretagne Occidentale)https://video.osgeo.org/videos/embed/e70c3426-9add-4e15-95db-c4f60459664dhttps://video.osgeo.org/w/mVMhptt1nCx7ewrYBir19yhttps://video.osgeo.org/lazy-static/thumbnails/b8f6c27b-411a-42f9-96a7-6428bf3f1c9c.jpgQGISFR 2025 - GeoInterview de Pierre Florin (SNCF) et Sofiane Madmar (DDT Eure et Loir)QGISFR 2025 - GeoInterview de Pierre Florin (SNCF) et Sofiane Madmar (DDT Eure et Loir)https://video.osgeo.org/videos/embed/a979197c-33ba-46a2-93d2-2363f86ce748https://video.osgeo.org/w/a94Hy6KsTL4czeUYqMtGgfhttps://video.osgeo.org/lazy-static/thumbnails/e529981f-a5d3-47ee-b67c-e5858b080244.jpgQGISFR 2025 - GeoInterview de Tidiane Sow (SIEGE 27)Syndicat Intercommunal de l'Électricité et du Gaz de l'Eurehttps://video.osgeo.org/videos/embed/4a027d0a-2cc6-4ff5-91a4-32d72344f11chttps://video.osgeo.org/w/s6qdcvxpKKd9cmdp9Q7DNjhttps://video.osgeo.org/lazy-static/thumbnails/6084637b-225b-46de-9312-73e115d2437a.jpgQGISFR 2025 - GeoInterview de Raquel Rodriguez (Biotope)QGISFR 2025 - GeoInterview de Raquel Rodriguez (Biotope)https://video.osgeo.org/videos/embed/d34f3e80-7fa2-462c-9cbd-a3c76f49fd62https://video.osgeo.org/w/58pCDFx7NZ8DUuWqNLRF7yhttps://video.osgeo.org/lazy-static/thumbnails/9ac21fa5-b22a-4c27-9193-0f2d67e27ea8.jpgQGISFR 2025 - GeoInterview de Murielle Mantran (Géomatik Karaïb)QGISFR 2025 - GeoInterview de Murielle Mantran (Géomatik Karaïb)https://video.osgeo.org/videos/embed/216d531f-8f20-4058-8223-440e1b2d5220https://video.osgeo.org/w/uK1gS8CmArUjqpSUyHBZYbhttps://video.osgeo.org/lazy-static/thumbnails/181adfe8-00e6-400c-9e33-64f8c7726f69.jpgQGISFR 2025 - GeoInterview de Mathieu Mureau (Coexya)QGISFR 2025 - GeoInterview de Mathieu Mureau (Coexya)https://video.osgeo.org/videos/embed/e8c1087c-cc07-44cb-bca1-13e4314a09c6https://video.osgeo.org/w/imgGjgozyQ6EJZnDuE8Zkzhttps://video.osgeo.org/lazy-static/thumbnails/8762ba24-e105-48ec-8667-d11d893157bc.jpgQGISFR 2025 - GeoInterview de Sabri CHKIOUA (GéoGraphiste)QGISFR 2025 - GeoInterview de Sabri CHKIOUA (GéoGraphiste)https://video.osgeo.org/videos/embed/8c7fe7b1-fabe-41d7-92c8-4949054c172bhttps://video.osgeo.org/w/1SKJNiCjeG1cZC26qkyZSGhttps://video.osgeo.org/lazy-static/thumbnails/7f026389-0b10-4b8d-a6f9-774aa92a0078.jpgQGISFR2025 - Conférences - Mot d'introductionMot d'introduction de Cyrille Genre-Grandpierre, Directeur de l'UMR 7300 ESPACE, et de Jean-Marie Arsac, Président de l'OSGeo-fr lors des Rencontres des Utilisateurs Francophones de QGIS, le mercredi 11 juin en Avignon. Un évènement organisé par l'OSGeo-fr en partenariat avec l'UMR 7300 ESPACE d'Avignon Université.https://video.osgeo.org/videos/embed/07162497-b8d9-4f01-897d-fc88f1008070https://video.osgeo.org/w/8o1i5F3NuhJWZskq2Kj8sNhttps://video.osgeo.org/lazy-static/thumbnails/367a03ea-6cd5-489b-b674-cdf28551ef14.jpgQGISFR2025 - Conférences - 01 Plan de Sauvegarde et de Mise en Valeur (PSMV) d’AvignonConférence n°1 aux Rencontres des Utilisateurs Francophones de QGIS, le mercredi 11 juin en Avignon. Un évènement organisé par l'OSGeo-fr en partenariat avec l'UMR 7300 ESPACE d'Avignon Université. Intervenant/es: Daniel THERY, Sabri CHKIOUA, Margot FERRAND, Jean-Pierre SERNAhttps://video.osgeo.org/videos/embed/3bc283da-2679-469e-b9c7-2af40fa129aehttps://video.osgeo.org/w/kEfpks9YqpeYPrq8ySHJQEhttps://video.osgeo.org/lazy-static/thumbnails/76b609db-a7eb-4868-8e74-e3b3ff872f8c.jpgQGISFR2025 - Conférences - 02 Démarche de la Métropole de Lyon vers l'OpenSource SIGConférence n°2 aux Rencontres des Utilisateurs Francophones de QGIS, le mercredi 11 juin en Avignon. Un évènement organisé par l'OSGeo-fr en partenariat avec l'UMR 7300 ESPACE d'Avignon Université. Intervenant/es: Carole HEYD, Jean-Philippe POThttps://video.osgeo.org/videos/embed/9f34c607-97d3-4b86-9f98-f12721244336https://video.osgeo.org/w/4zHc5ir7TPuQMrvyoggiCDhttps://video.osgeo.org/lazy-static/thumbnails/eda3f6b2-5fa7-4c80-b9ea-287435de4209.jpgQGISFR2025 - Conférences - 03 Évolution et perspectives d'évolution du SIG du Département de Vauc...Conférence n°3 aux Rencontres des Utilisateurs Francophones de QGIS, le mercredi 11 juin en Avignon. Un évènement organisé par l'OSGeo-fr en partenariat avec l'UMR 7300 ESPACE d'Avignon Université. Intervenant: Sylvain RAMIEREhttps://video.osgeo.org/videos/embed/1d00585f-562a-42fe-a7cc-dd03ed688339https://video.osgeo.org/w/f9tTaDGRdwzxUJ7zgwZB9mhttps://video.osgeo.org/lazy-static/thumbnails/0524caee-34aa-44b7-9b5a-db3911656548.jpgQGISFR2025 - Conférences - 04 Une extension pour quantifier l'évolution du trait de côteConférence n°4 aux Rencontres des Utilisateurs Francophones de QGIS, le mercredi 11 juin en Avignon. Un évènement organisé par l'OSGeo-fr en partenariat avec l'UMR 7300 ESPACE d'Avignon Université. Intervenant/es: Julie PIERSON, Quentin RUAUD, Laurence DAVIDhttps://video.osgeo.org/videos/embed/728f130c-15f7-4405-b160-cc3c4557b038https://video.osgeo.org/w/pskGCMuK7xFyoqgA8TgcWDhttps://video.osgeo.org/lazy-static/thumbnails/3bcb4c48-a123-4751-941b-6fbddd91d5c9.jpgQGISFR2025 - Conférences - 05 QBiome : un projet Open Source de saisie de données naturaliste via...Conférence n°5 aux Rencontres des Utilisateurs Francophones de QGIS, le mercredi 11 juin en Avignon. Un évènement organisé par l'OSGeo-fr en partenariat avec l'UMR 7300 ESPACE d'Avignon Université. Intervenants: Felix HINCKEL, Augustin SOULARDhttps://video.osgeo.org/videos/embed/bdefab09-e398-40e2-aba0-4b36cafae4d5https://video.osgeo.org/w/hsC2Gry1JxRmjv9NKD2285https://video.osgeo.org/lazy-static/thumbnails/e0a18ff9-72a5-4c52-8d72-7751f7444171.jpgQGISFR2025 - Conférences - 06 Limites et solutions pour générer des mises en page détaillées depu...Conférence n°6 aux Rencontres des Utilisateurs Francophones de QGIS, le mercredi 11 juin en Avignon. Un évènement organisé par l'OSGeo-fr en partenariat avec l'UMR 7300 ESPACE d'Avignon Université. Intervenant: Benjamin SAGLIOhttps://video.osgeo.org/videos/embed/8549c2a9-b519-4835-84b5-402c689eba96https://video.osgeo.org/w/cabBYiLUoRAZZbLp2CTRj7https://video.osgeo.org/lazy-static/thumbnails/bd4d4fd4-0696-4750-be5f-aac658634961.jpgQGISFR2025 - Conférences - 07 QChat, le plugin pour tchatter avec ses pairs directement dans QGISConférence n°7 aux Rencontres des Utilisateurs Francophones de QGIS, le mercredi 11 juin en Avignon. Un évènement organisé par l'OSGeo-fr en partenariat avec l'UMR 7300 ESPACE d'Avignon Université. Intervenant: Guilhem ALLAMANhttps://video.osgeo.org/videos/embed/5a5cc39c-db2b-4e1d-9da8-4f5efd9ebf96https://video.osgeo.org/w/wTVPcfGJQvVFyxxtJTkJkZhttps://video.osgeo.org/lazy-static/thumbnails/a0f3a3f2-1275-4981-91e8-09ef5fa3a018.jpgQGISFR2025 - Conférences - 08 Introduction aux SIG avec QGIS en écoles d'architectureConférence n°8 aux Rencontres des Utilisateurs Francophones de QGIS, le mercredi 11 juin en Avignon. Un évènement organisé par l'OSGeo-fr en partenariat avec l'UMR 7300 ESPACE d'Avignon Université. Intervenantes: Isabelle FASSE, Frédérique BERTRANDhttps://video.osgeo.org/videos/embed/fa324184-ecca-44eb-84dc-dabf8fea0517https://video.osgeo.org/w/hDt2C6bA24EbxkfDreWvkKhttps://video.osgeo.org/lazy-static/thumbnails/a8b5f304-8283-4a77-bdea-c6a904bdcc15.jpgQGISFR2025 - Conférences - 09 Utilisation de QGIS en cellule de crise inondation pour la surveill...Conférence n°9 aux Rencontres des Utilisateurs Francophones de QGIS, le mercredi 11 juin en Avignon. Un évènement organisé par l'OSGeo-fr en partenariat avec l'UMR 7300 ESPACE d'Avignon Université. Intervenante: Emilie BIGORNEhttps://video.osgeo.org/videos/embed/86cd6506-5472-432c-b498-c112a49a87adhttps://video.osgeo.org/w/wnotZgLay9v8BuABoUZZNxhttps://video.osgeo.org/lazy-static/thumbnails/21e2d756-30fb-4ff7-aeba-2b9a8ccf9b9d.jpgQGISFR2025 - Conférences - 10 Organiser un rallye urbain à partir de QGISConférence n°10 aux Rencontres des Utilisateurs Francophones de QGIS, le mercredi 11 juin en Avignon. Un évènement organisé par l'OSGeo-fr en partenariat avec l'UMR 7300 ESPACE d'Avignon Université. Intervenante: Marjorie FANGAINhttps://video.osgeo.org/videos/embed/f5eea263-5b2d-433d-bd61-76e1f46f5b37https://video.osgeo.org/w/igQSxqgMMfRs6q93eUBGVQhttps://video.osgeo.org/lazy-static/thumbnails/999c6a8f-0d7f-46ad-8aac-5673c986c2af.jpgQGISFR2025 - Conférences - 11 Plugin QGIS GéoplateformeConférence n°11 aux Rencontres des Utilisateurs Francophones de QGIS, le mercredi 11 juin en Avignon. Un évènement organisé par l'OSGeo-fr en partenariat avec l'UMR 7300 ESPACE d'Avignon Université. Intervenant/es: Xavier THAUVIN, Jonathan RENAULT, Solène THEVENEThttps://video.osgeo.org/videos/embed/8be1a1c0-9ff1-41a6-873d-90d2d820582ahttps://video.osgeo.org/w/3KNgf6UVhL7U2mfGbgHxzFhttps://video.osgeo.org/lazy-static/thumbnails/f7207843-3fb2-4665-8097-add0a77799d6.jpgQGISFR2025 - Conférences - 12 Contribuer à la culture de l'écosystème sur QGIS : l'expérience Geo...Conférence n°12 aux Rencontres des Utilisateurs Francophones de QGIS, le mercredi 11 juin en Avignon. Un évènement organisé par l'OSGeo-fr en partenariat avec l'UMR 7300 ESPACE d'Avignon Université. Intervenant: Julien MOURAhttps://video.osgeo.org/videos/embed/164fc518-4055-41ef-a3c6-fb9d20118695https://video.osgeo.org/w/qQ71MTjLmcwT1bfRm6DPBNhttps://video.osgeo.org/lazy-static/thumbnails/f323ea43-3357-469a-b49f-e8e8d56704a9.jpgQGISFR2025 - Conférences - RemerciementsMots de remerciements de Jean-Marie Arsac, Président de l'OSGeo-fr lors des Rencontres des Utilisateurs Francophones de QGIS, le mercredi 11 juin en Avignon. Un évènement organisé par l'OSGeo-fr en partenariat avec l'UMR 7300 ESPACE d'Avignon Université. https://video.osgeo.org/videos/embed/c912bc1e-47dd-4512-a9f3-27ef2a40a690https://video.osgeo.org/w/woih51zEP6vHBoHBgkjeUQhttps://video.osgeo.org/lazy-static/thumbnails/d005248a-ff69-4317-816d-c27536567119.jpgQGISFR2025 - Conférences - Mot de clotureMot de cloture de la journée des conférences par Jean-Marie Arsac, Président de l'OSGeo-fr, lors des Rencontres des Utilisateurs Francophones de QGIS, le mercredi 11 juin en Avignon. Un évènement organisé par l'OSGeo-fr en partenariat avec l'UMR 7300 ESPACE d'Avignon Université.https://video.osgeo.org/videos/embed/f60f2b8b-d799-4843-b1d4-022a3918d36chttps://video.osgeo.org/w/nVvtJrPoEgmER3hgoDPg9shttps://video.osgeo.org/lazy-static/thumbnails/732eafe6-6f3c-42c0-bfc6-8c43684b337c.jpgIntroducción a GRASS GISIntroducción al programa GRASS GIS Módulo: Teledetección Cercana y Remota Maestría en Geomática Profesor: Lizardo Mauricio Reyna Bowen En esta clase presentamos al software Grass Gis con un caso de estudio. Aprendemos su terminología y modo de trabajo para analizar las afectaciones de una inundación en la cuenca del río Portoviejo en Manabí, Ecuador. Enlace de los datos: https://drive.google.com/drive/folders/1m1RZs6ek6LiUN5lBQDZ-Z0qymB9IQr5d?usp=sharing Facultad de Ingeniería Agrícola Facultad de Posgrado Universidad Técnica de Manabí Agosto 2025 https://video.osgeo.org/videos/embed/b1887f8b-1117-4850-b652-df078cc8fd2ehttps://video.osgeo.org/w/ifJ3QxFWv2dcY2Ls5iiFZjhttps://video.osgeo.org/lazy-static/thumbnails/522dfa6b-9009-4476-bf0b-9b1e942f6967.jpgQSunPotential plugin - demoQSunPotential is a #QGIS plugin to evaluate solar potential for roof PV installations. The plugin makes use of the PVGIS API, the reference simulation tool for solar potential. You can get the plugin on the official QGIS repository, or access the documentation here :  https://qsunpotential.oslandia.com/ Automated layout, 3D roofs reconstruction from LIDAR… There are numerous improvements planned, get in touch to know more ( infos+qgis@oslandia.com ). https://video.osgeo.org/videos/embed/8bb9aefe-085a-41aa-91c8-4f07c97d9c30https://video.osgeo.org/w/baDmkJ3HCtmWrASkCLGVhohttps://video.osgeo.org/lazy-static/thumbnails/94c33254-6fb0-4c51-9cd1-fb68cee70921.jpgQGIS Processing - Démonstration d'une chaîne de traitements basés sur les plugins GéoplateformeDémonstration d'une démarche d'utilisation de QGIS comme ETL en créant un modèle en utilisant les traitements livrés avec la suite d'extensions fédérées dans le [plugin Géoplateforme pour QGIS](https://plugins.qgis.org/plugins/geoplateforme/), notamment [le plugin French Locator Filter](https://plugins.qgis.org/plugins/french_locator_filter/) dédié au géocodage d'adresses et le |plugin GPF - Isochrone Isodistance Itinéraire ](https://plugins.qgis.org/plugins/gpf_isochrone_isodistance_itineraire/) dont le nom est suffisamment explicite. Ces deux plugins sont adossés aux API correspondantes sur la Géoplateforme : - [géocodage](https://geoservices.ign.fr/documentation/services/services-geoplateforme/geocodage) - [navigation](https://geoservices.ign.fr/documentation/services/services-geoplateforme/itineraire) **Crédits** : Solène Thévenet et Xavier Thauvin pour l'IGNhttps://video.osgeo.org/videos/embed/52541945-223f-4717-b27c-0969fd64b36ahttps://video.osgeo.org/w/ciFmqHMZuuRyYssTBKzS3Chttps://video.osgeo.org/lazy-static/thumbnails/4212c5a4-9bee-41b0-9942-23f199cec800.jpgPostGIS: Spatial, Special, And Something ElsePostGIS demonstrated the magic of SQL, embodying the original vision of Postgres over 30 years ago. Many extensions now follow this blueprint, often leveraging PostGIS. ThIs presentation shows code examples of what can be achieved in PostgreSQL with PostGIS and other extensions that are impossible in other databases. It also covers needed improvements in PostgreSQL for these extensions. Subscribe to this channel for more great content! 👉 http://www.snowflake.com/YTsubscribe/ Click here to start your 30-day free Snowflake trial, which includes $400 worth of free usage: 👉 https://snowflake.com/youtube-dev-trial Explore sample code, download tools, and connect with peers: 👉 https://developers.snowflake.com/ #Snowflake #AIDataCloud #AI #GenAI #ArtificialIntelligencehttps://video.osgeo.org/videos/embed/5b8c6bc6-01f7-43ed-a1e2-df49c6b05918https://video.osgeo.org/w/hwfnJ15dtucwk3tC23yCVchttps://video.osgeo.org/lazy-static/thumbnails/9d7e7d37-cf8a-4320-8b9c-a1ce58051855.jpg99-Clôture99-Clôturehttps://video.osgeo.org/videos/embed/85cb63ea-4ae2-488b-95d3-e8b1be19f65dhttps://video.osgeo.org/w/ouPJuLA7NfEEN3AVmmBjbDhttps://video.osgeo.org/lazy-static/thumbnails/b713ab2c-7a73-4594-912b-e6e1d195a9a4.jpg15-Topographie et saisie Cimetières avec QGISIntervention autour de 2 exemples de projets en cours à Rennes Métropole et qui visent tous les deux à remplacer une solution éditeur par des modules QGIS réalisés sur-mesure. Après un état des lieux et une présentation du contexte et des enjeux autour de ces projets, il sera fait une brève présentation des fonctionnalités de ces modules et des bénéfices attendus par leurs utilisateurs de la Métropole. 1) TopoQgis : développement d'un module QGIS pour gérer l'importation des données topographiques, issues du terrain vers le SIG et tout ce que cela implique (import/export du carnet de terrain, calculs topographiques / topométriques, codification terrain et représentation graphique, gestion historique des actions utilisateurs, contrôles des données, gestion du cache et de la numérotation…). Utilisateurs : équipe topographique au sein de l'unité Données et Référentiels du Service Données Territoriales et Information Géographique de Rennes Métropole. Mode de réalisation : réalisation technique par groupement de prestataires spécialisés (topographie / SIG / QGIS) et piloté par les équipes internes de Rennes Métropole (SDTIG). Volonté d'en faire un outil réutilisable / paramétrable et de l'ouvrir au moment opportun à la communauté puis d'embarquer d'autres collectivités dans l'amélioration (ergonomie et couverture fonctionnelle) 2) Outil de saisie graphique des cimetières Rennais sur QGIS en lien avec le système d'information en place de gestion des données de cimetières (gestion des sections / rangs / allées / emplacements / columbariums / mémorial, gestion du dessin et de la représentation graphique, contrôles à la saisie, API pour récupérer données à injecter dans le SI). Utilisateurs : Service funéraire au sein de la Direction Population et Citoyenneté de Rennes Métropole. Mode de réalisation : entièrement interne par les équipes de Rennes Métropole (collaboration SDTIG et DSN) Philippe Laot Chef de projets Plateformes et Applications au sein du Servic...https://video.osgeo.org/videos/embed/b62f4ada-6763-47c7-bcbd-819eb0a8fe69https://video.osgeo.org/w/4nMYJiwGPZArToigB5HMnthttps://video.osgeo.org/lazy-static/thumbnails/ba54410d-f9ca-4fca-996b-1ef7a7628e59.jpg14-Mise en place d'un SIG hybride à Brest métropoleLe service SIG-Data de Brest métropole assure la gestion des données géographiques de la collectivité et plus largement l’administration de la plateforme partenariale GéoPaysdeBrest. Devant le nombre croissant d’utilisateurs de QGIS en interne, une réflexion a été menée afin de leur offrir un accès direct aux données. En effet, initialement, deux possibilités s’offraient à eux : export de couches ou utilisation de services web. Ces deux modes d’accès n’étant pas satisfaisants, le service s’est lancé dans la mise en place d’un SIG « hybride ». En 2022, une première étude a porté sur le choix des outils nécessaires à une réplication de la base Oracle/SDE vers une base Postgre/PostGIS. Cette duplication est aujourd’hui effective, ce qui représente plus de 1300 tables et vues. Une synchronisation quotidienne est effectuée, SDE restant la base de production pour les mises à jour. Pour faciliter l’accès aux données, les fichiers LYR de définition des couches ont été exportés en QLR. Des réajustements manuels ont néanmoins été nécessaires. Pour faciliter la prise en main, le service a accompagné les utilisateurs. En parallèle, dans le cadre du partenariat GéoPaysdeBrest, des flux de mise à jour sécurisés sont mis à disposition des partenaires extérieurs pour leur permettre d’actualiser la base SIG dans leur environnement QGIS. De plus, plusieurs extensions QGIS ont été développées pour faciliter l’utilisation des données : géocodeur, accès aux fiches de métadonnées, calculs d’identifiants, calculs d’isochrones, et génération d’index. Des données de GéoPaysdeBrest sont également accessibles via l’extension IDG commune à plusieurs Infrastructures de Données Géographiques et un financement aux développements de l’extension cadastre été apporté. Durant cette intervention, vous seront présentées les différentes étapes du projet, la situation actuelle ainsi que les perspectives. Grégoire Vourc'h Géomaticien. Référent partenarial du SIG Laurent Dupont https://video.osgeo.org/videos/embed/1b565ec2-8c1c-4eac-b34d-afef278c65f9https://video.osgeo.org/w/tCVDEk7rQXBcCimEG3Ltshhttps://video.osgeo.org/lazy-static/thumbnails/dc85378e-8061-4587-9917-4f484b215fa6.jpg13-Cartographiez l’accessibilité de votre ville avec QAccessQAccess est un projet QGIS / QField open source développé pour simplifier la collecte des données d’accessibilité. Il permet de créer, contrôler et analyser les données d’accessibilité via une structure de données (format Geopackage) conforme au standard CNIG Accessibilité, optimisée pour faciliter la création et visualisation des données d’accessibilité. Destiné aux collectivités, urbanistes et bureaux d’études, QAccess répond aux besoins de mise en conformité réglementaire (loi 2005 / PAVE / Loi d’Orientation des Mobilités) et d’amélioration de l’accessibilité des espaces publics. Il s’adresse notamment à toutes les collectivités souhaitant prendre en main leur collecte de données d’accessibilité, sur des périmètres restreints et pour des événements ponctuels. Là où l’outil Acceslibre Mobilités permet de réaliser des collectes massives, QAccess facilite les petites collectes de données. L’outil permet de créer le graphe piéton et d’intégrer tous types de données existant déjà au sein de la collectivité, puis de collecter sur les terrains les informations manquantes (mesures, photos, observations…). QAccess facilite également le contrôle et la correction des données pour garantir leur fiabilité. Ses analyses thématiques (pentes, dévers, état des revêtements, traversées, BEV, obstacles, masque à la covisibilité…) permettent aux collectivités d’avoir une vision claire et détaillée du niveau d’accessibilité du territoire. Elles permettent d’identifier les points bloquants, de planifier les interventions prioritaires et de suivre les progrès réalisés. QAccess a pour ambition de devenir un outil complet de cartographie de l’accessibilité de la voirie, des arrêts de transport et des bâtiments (cheminement indoor), ainsi qu’une solution d’aide à la décision pour la planification, la mise en conformité et l’amélioration des infrastructures piétonnes. QAccess est aujourd’hui utilisé à Dieppe, à Granville, sur des campus universitaires et pour des événement...https://video.osgeo.org/videos/embed/dfce9505-3a13-499f-b234-9446cf962f40https://video.osgeo.org/w/bHzYXFyAw6Lx29SbTm49Mjhttps://video.osgeo.org/lazy-static/thumbnails/7740a6d9-e0db-4bd7-a166-d1ba2652a27c.jpg12-L'IA comme assistant QGISL’arrivée des modèles de langage (Large Language Model - LLM) comme ChatGPT transforme en profondeur la manière dont les géomaticiens interagissent avec leurs outils. Ce lightning talk propose un tour d’horizon concret de l’usage des assistants IA pour faciliter et accélérer le travail quotidien sous QGIS. En s’appuyant sur des exemples pratiques, nous verrons comment les LLM peuvent aider à rédiger des expressions QGIS, générer des scripts Python, déboguer des traitements, nettoyer ou documenter des projets, mais aussi expliquer des concepts ou guider l’utilisateur dans des workflows complexes. Au-delà de l’usage direct avec ChatGPT, la présentation abordera l’écosystème émergent autour de QGIS : extensions intégrant nativement l’IA, assistants contextuels, ainsi que le rôle des serveurs MCP (Model Context Protocol) permettant de connecter localement des LLM à QGIS de manière sécurisée et extensible. Ces briques ouvrent la voie à des usages avancés comme l’accès aux données locales, la génération d’outils sur mesure ou l’automatisation de tâches répétitives sans quitter l’interface de QGIS. L’objectif est de montrer que l’IA n’est pas un gadget, mais un véritable compagnon de travail pour les utilisateurs, développeurs et administrateurs QGIS. En quelques minutes, vous repartirez avec des idées concrètes pour intégrer un assistant IA dans votre propre environnement SIG — que ce soit pour gagner du temps, améliorer la qualité des analyses ou simplement rendre QGIS plus accessible. Florent Gravin CTO à Camptocamp Geospatial. Passionné de cartes, de montagnes et d'open source, j'ai la chance de contribuer à toutes ces passions via mon travail à Camptocamp. Je promeus l'innovation et j'oeuvre pour intégrer au géospatial les technologies de demain (IA, cloud native etc...).https://video.osgeo.org/videos/embed/56c9d2c8-01b6-4d70-b2ae-e08205742f7chttps://video.osgeo.org/w/g4x2ahCtAz1HBLBsYxdN6yhttps://video.osgeo.org/lazy-static/thumbnails/1481b35f-f304-4e38-9d90-7b47b9f94df9.jpg11-Évaluer le potentiel de vos toitures avec QSunPotentialEn 2024, le Département de l’Isère a engagé un partenariat avec le Centre Régional Auvergne-Rhône-Alpes de l’Information Géographique (CRAIG) afin de modéliser les toitures d’une sélection de bâtiments situés sur son territoire. L’objectif principal de cette démarche était d’évaluer le potentiel photovoltaïque des toitures et, par conséquent, d’identifier les sites les plus propices à la production d’énergie solaire. Ce partenariat s'inscrit dans le cadre de l'offre de service "Pack solaire" portée par le Département de l'Isère. Cette offre d’ingénierie accompagne les communes et intercommunalités à travers une évaluation précise de leur « potentiel solaire » et un accompagnement dans la mise en œuvre des projets. L'objectif est notamment de faciliter une approche territoriale du développement de projets photovoltaïques, et la constitution de grappes de projets. À l’issue de cette première phase, le CRAIG a souhaité capitaliser sur l’expérience acquise en développant un outil permettant d’automatiser la chaîne de traitement utilisée lors du partenariat. C’est dans ce contexte qu’est née l’idée de créer une extension dédiée pour QGIS, le logiciel libre de référence en matière de cartographie et de géomatique. Le plugin, baptisé QSunPotential, a été conçu pour estimer le potentiel solaire des toitures à partir des services de calcul proposés par PVGIS, un outil européen reconnu dans le domaine de l’énergie solaire. Grâce à l’API mise à disposition par PVGIS, QSunPotential envoie automatiquement des requêtes pour chaque toiture modélisée et récupère des estimations du potentiel photovoltaïque, exprimées sous forme de résultats mensuels et annuels. L’intervention conjointe du CRAIG et d’Oslandia, société spécialisée dans le développement autour de QGIS, vise à présenter le contexte du projet, les développements techniques déjà réalisés ainsi que les perspectives d’évolution du plugin, afin de favoriser son utilisation et son amélioration continue. Frédé...https://video.osgeo.org/videos/embed/79f76d8f-223a-4ac8-999a-d4f235f8a78ahttps://video.osgeo.org/w/7zo6ve2iPagKoGGEkwE4i2https://video.osgeo.org/lazy-static/thumbnails/6953ec57-0a03-4a7a-96c5-ba880afdd3a7.jpg10-Déploiement QGIS avec QDTLa Métropole de Lyon déploie QGIS depuis plus de 10 ans mais en tant que SIG annexe, sans aucune personnalisation, comme outil disponible sans licence pour les agents qui en auraient besoin. Les SIG officiels étant construits sur des produits propriétaires. Depuis 2024 et suivant la politique globale de la Métropole de favoriser l’open source, QGIS devient le SIG desktop officiel. Avec plus de 440 postes QGIS à ce jour et 4 applications métier à reconstruire (pour une centaine d’utilisateurs), est vite apparue la problématique des déploiements à grande échelle de ces applications et des personnalisations de QGIS pour facilement accéder aux ressources SIG de la Métropole. C’est ainsi qu’en collaboration avec OSlandia, La Métropole s’est orientée vers l’utilisation de QDT pour réaliser ces taches. L’installation de QGIS est réalisée sur les postes Microsoft par un outil Microsoft. QDT permet de déployer les profils QGIS sur les postes équipés de QGIS. Deux grandes catégories d’utilisateurs doivent être adressées : - Les utilisateurs des applications métier (Services urbains, Urbanisme). - Les utilisateurs standards, plus ou moins occasionnels qui ne rentrent pas dans la catégorie des utilisateurs métier. Nous avons donc défini des profils pour répondre à ces besoins et mis en place la mécanique QDT pour les déployer sur les postes. Contenus des profils, définition des applications métier avec des profils QGIS à la Métropole, architecture mise en place, gestion de l'authentification, qu'est-ce qui fonctionne et qu'est-ce qu'il manque ? La présentation propose un retour d'expérience sur cette mise en place, résultats, difficultés et quelques astuces pour que fonctionne un parc de plus de 400 postes QGIS. Nicolas Rolland Intégrateur SIG / Géomaticien à la Métropole de Lyon Direction Adjointe SI Métier / Direction des Systèmes d'Informationhttps://video.osgeo.org/videos/embed/353ffe2a-42fd-4a27-87e7-a79c63561977https://video.osgeo.org/w/x7e2dPXafhTeeKcGsGgnZPhttps://video.osgeo.org/lazy-static/thumbnails/bc2ef20a-eab3-4de9-b302-efdc3fa6ed1e.jpg09-Des nouvelles du projet QGIS Régis Haubourg Membre élu du comité de pilotage (PSC) QGIS.org. Géomaticien, DBA PostgreSQL, expert SIG open source Charter member OSGEO depuis 2014 Membre du bureau OSGeo-FR https://video.osgeo.org/videos/embed/fbe9c91c-64d9-4f37-bfe0-699d21459ca5https://video.osgeo.org/w/vgXdrqrbFrNz4mahW8LU5yhttps://video.osgeo.org/lazy-static/thumbnails/f1563e0e-81b3-4736-bfdd-fe9667b2ec82.jpg08-QGIS pour RISCOREV (RISques COtiers et REalité Virtuelle)Les côtes, à l’échelle nationale ou mondiale, cumulent de manière croissante populations, infrastructures et activités (Reimann et al., 2023 ; INSEE, 2018). Or, ces territoires à enjeux multiples sont affectés par les changements climatiques. Ces derniers exacerbent les risques d'érosion côtière et de submersion marine (Treuer et al., 2022 ; GIEC, 2022). Aujourd'hui, le littoral est « pris entre deux vagues » : la première vague provient de l'élévation du niveau moyen de la mer, tandis que la seconde correspond à la pression résidentielle et touristique croissante sur les zones côtières (Meur-Ferec et Morel, 2004 ; Buchou, 2019). Dans ce contexte, nous émettons l'hypothèse que les technologies immersives telles que la réalité mixte (RM, regroupant réalités virtuelle et augmentée) peuvent apporter une valeur ajoutée majeure à la connaissance et au changement de pratiques des personnes. En effet, elles leur permettent de faire l'expérience des aléas et des risques côtiers dans des environnements proches de la réalité, mais sans danger pour les utilisateurs et en explorant des temporalités variées : passé, présent, futur. Qu’est-ce que RISCOREV ? Pour explorer cette hypothèse, un projet de formation financé par ISblue, nommé RISCOREV (RISques COtiers et REalité Virtuelle, coord. : P. Letortu (LETG) et R. Ruault (ISblue), 2021-2023) a permis, avec l’aide des gestionnaires et des élus de la Communauté Lesneven Côte des Légendes (CLCL) et de la commune de Guissény, d’ingénieurs en réalité virtuelle, des étudiants du Master 2 SML EGEL (UBO) et des étudiants en dernière année de l’ENIB, de réaliser un prototype de réalité virtuelle et une scénarisation en R.M sur les risques côtiers à Guissény et à Plougonvelin (Finistère). RISCOREV a pour objectif de mener un travail d’acculturation des acteurs du territoire (habitant·es, gestionnaires) aux risques côtiers d’érosion et submersion en contexte de changement climatique (scénarios du GIEC). Ce projet s’appuie sur des ...https://video.osgeo.org/videos/embed/ed13346e-23e3-40e4-86cf-37eba2365ee8https://video.osgeo.org/w/tePVNpbfLXBcmR3fX4p6b7https://video.osgeo.org/lazy-static/thumbnails/96508d9d-1851-4722-8cdf-12306d4f770b.jpg07-Récolement des réseaux de distribution électrique via le plugin OpenRecoStaRJusqu’à présent, les exploitants de réseaux électriques s’appuyaient sur des formats et des spécifications de récolement propres à chacun. Cette hétérogénéité entraînait de nombreuses difficultés : -Pour les entreprises de travaux, maîtres d’œuvre et bureaux d’études, qui devaient s’adapter à chaque exploitant et utiliser une multitude d’outils informatiques. -Pour les exploitants et maîtres d’ouvrages, qui peinaient parfois à faire respecter leurs spécifications lorsque les entreprises de travaux n’y étaient pas suffisamment familiarisées. Afin d’harmoniser les pratiques et de simplifier les échanges entre l’ensemble des acteurs, StaR‑Elec a été créé. Ce géostandard, destiné à la description métier des réseaux électriques au sens large (transport, distribution, éclairage, signalisation) et fondé sur le modèle StaR‑DT, définit de manière générique : -les données échangées à chaque étape du processus de construction d’un ouvrage électrique, -le rôle de chaque acteur, la description de la topologie du réseau (connectivité électrique, arborescence des ouvrages, traçabilité du matériel). Pour faciliter l’appropriation du format StaR‑Elec par les entreprises prestataires du réseau de distribution électrique et d’éclairage public, un plugin QGIS dédié a été développé, cofinancé par la FNCCR et Enedis. Ce plugin intègre la logique métier et les spécificités du format GML, conformément au standard StaR‑Elec, en s’appuyant sur un GeoPackage regroupant l’ensemble des règles métier et topologiques. Il simplifie également la création et la lecture de fichiers GML complexes associés à leur schéma XSD. Combinés aux outils natifs de QGIS, les modules du plugin permettent une réalisation plus simple et plus fiable des récolements, notamment grâce aux fonctions de tracé automatique et aux formulaires de saisie intelligents. La qualité et l’intégrité des données de récolement sont assurées par une série de contrôles topologiques intégrés. Grâce à ce standard, le...https://video.osgeo.org/videos/embed/dc94f302-50c5-4e0c-9676-ee3df18703a6https://video.osgeo.org/w/39J6XFVdZcNiVy9q3f2v3uhttps://video.osgeo.org/lazy-static/thumbnails/8b856a06-9ca0-4628-b326-90be1be28084.jpg06-De la donnée brute à la carte d’occupation du sol, apport de la segmentation d’images par IA d...L’essor des données de télédétection et l’augmentation de la résolution spatiale des images satellitaires ouvrent de nouvelles perspectives pour l’analyse automatisée de l’occupation du sol. Cependant, la production de cartes fiables et opérationnelles nécessite désormais des approches hybrides combinant intelligence artificielle, traitement géospatial et outils SIG. Cette conférence présente un workflow complet basé sur Python et QGIS, permettant d’entraîner, d’évaluer et d’intégrer des modèles de segmentation d’images par Deep Learning dans un environnement géomatique standard. La première partie expose la méthodologie de traitement : préparation des données raster, structuration du jeu d’entraînement, choix des métriques d’évaluation (IoU, F1-score, précision), et automatisation du pipeline via Python. Plusieurs architectures de segmentation ont été comparées afin d’identifier leurs performances respectives dans un contexte de classification d’usage du sol. Les modèles évalués UNet, UNet++, PAN et DeepLabV3+ partagent le même encodeur ResNet-34 afin de permettre une comparaison équitable selon trois critères : qualité de segmentation, complexité du modèle et temps d’inférence. Un volet essentiel de cette démarche repose sur l'accessibilité : le pipeline repose exclusivement sur des outils open source, gratuits, reposant sur des bibliothèques Python largement adoptées et une intégration directe dans QGIS. L’objectif est de proposer une solution user-friendly, réplicable et documentée, permettant à tout utilisateur même non spécialiste du Machine Learning de réaliser ses propres prédictions à partir d’images satellites ou orthophotos, et d’obtenir des cartes exploitables sur des objets géographiques précis (parcelles, zones d’étude, territoires administratifs, etc.). Enfin, la présentation aborde la question du passage du modèle au produit cartographique : export des prédictions en GeoTIFF, vectorisation, post-traitements géospatiaux, intégration dans u...https://video.osgeo.org/videos/embed/116a2c9a-3b58-4057-ae2c-6a9ac18c89echttps://video.osgeo.org/w/fNhrjAfocQBkQFTupQqCgHhttps://video.osgeo.org/lazy-static/thumbnails/fb15718d-32b3-40ad-b58e-949d2734734b.jpg05-Recherche archéologique et SIG 3D dans QGIS - La Grotte Cosquer-DEMOVideo de démonstration de l'utilisation de QGIS pour les recherches archéologiques dans la grotte Cosquerhttps://video.osgeo.org/videos/embed/77d648b7-85b7-4bc1-a7e6-d7b570fa263fhttps://video.osgeo.org/w/auNNzeiQn6wojzUFRi8Dozhttps://video.osgeo.org/lazy-static/thumbnails/293c5aa3-9bf3-4cf3-b4a0-de915629cfe8.jpg05-Recherche archéologique et SIG 3D dans QGIS - La Grotte Cosquer L’étude pluridisciplinaire de la grotte Cosquer, site archéologique menacé de disparition, a conduit à la mise en place d’un environnement logiciel et méthodologique centré sur QGIS pour intégrer et analyser des données hétérogènes. Cette hétérogénéité s’observe à la fois sur les formats des données (données descriptives classiques, mais aussi nuages de points et produits raster, documentations diverses, 2D/3D, etc.), ainsi que sur les domaines scientifiques larges (relevés pariétaux, observations géomorphologiques, mesures physico-chimiques, informations archéologiques, etc.). Aucun outil libre ne permettant de gérer conjointement acquisition vectorielle en 3D, structuration sémantique et analyse spatiale, une méthodologie originale a été mise en place pour adapter l’usage de QGIS. L’innovation principale réside dans une procédure de numérisation tridimensionnelle en deux temps. Les entités sont dessinées en 2D sur des ortho-images multi-bandes issues des modèles laser et photogrammétriques ; certaines bandes stockent directement les coordonnées X/Y/Z. Une série de traitements permet, ensuite, la reconstruction automatique de la géométrie 3D, en cohérence avec la topographie de la grotte. Cette approche contourne l’absence d’outils de dessin 3D natifs dans QGIS tout en exploitant pleinement la puissance des bases de données relationnelles et spatiales (administrées sous PostGis) pour la transformation, l’enrichissement géométrique et la gestion relationnelle. Le workflow est complété par l’intégration fluide d’extensions de traitements raster (telles qu’EnMap Box (traitements hyperspectraux) et de l’interopérabilité avec le logiciel GIMP), qui permettent notamment d’enrichir la base de données en créant et en multipliant de nouvelles sources d’acquisition. Le logiciel libre CloudCompare est mobilisé en amont pour la segmentation sémantique des nuages de points, dont les résultats seront ensuite intégrés comme référents spatiaux dans la base de données. Le...https://video.osgeo.org/videos/embed/4ce7eab7-7800-4dbd-8a1f-7d4c344306d9https://video.osgeo.org/w/qgHTXJzNRyNzVm4xvmLARxhttps://video.osgeo.org/lazy-static/thumbnails/c4ee5634-3b70-4870-9bf0-4579f33e7b22.jpg04-Lutter contre le « gerrymandering » aux Etats-Unis, grâce à QGISAux États-Unis, le problème du « gerrymandering » n’est pas du tout nouveau, mais ces dernières années – et même ces derniers mois – je dirais que ses conséquences sont devenues encore plus nuisibles. Je suis Américain, et une grande partie de mon travail en tant que consultant en SIG concerne le redécoupage électoral (« electoral redistricting » en anglais). Mon logiciel préféré est QGIS. Lors d’une présentation éclair, je commencerais par expliquer très brièvement le concept de « gerrymandering », avec une courte démonstration visuelle. Je montrerais ensuite un exemple récent de 2025, probablement tiré de l’État de Caroline du Nord. Ensuite, j’expliquerais ce que je fais pour mes clients aux États-Unis, c’est-à-dire l’élaboration de propositions de découpages électoraux non biaisés. Enfin, je présenterais rapidement quelques outils QGIS utiles pour ce type de travail : — Une de mes extensions favorites est « Statto Redistricter QGIS », créée par John Holden — Une autre extension très intéressante et prometteuse est « QGIS Redistricting », développée par un Américain connu sur GitHub sous le pseudonyme « couteau » — En 2025, un urbaniste-géomaticien français a publié une nouvelle extension, « Measures of Compactness » (Mesures de compacité), qui facilite l’accomplissement d’une tâche bien particulière — L’extension « Data Plotly » est également très utile J'ai déjà présenté des exposés éclair, lors d'une conférence nationale de planification à New York (2017) et à l'Université Harvard (2019). J'ai également présenté des travaux sur QGIS et le redécoupage électoral lors d'autres conférences en Europe, notamment FOSS4G à Florence (2022), la conférence des utilisateurs de QGIS à 's-Hertogenbosch (2023), et la conférence QGIS Belgique/Pays-Bas (2024), où j'ai prononcé le discours de clôture. Cela dit, je tiens à préciser que cette conférence serait ma première présentation de ce type en français. Blake Esselstynhttps://video.osgeo.org/videos/embed/c48d4dbb-7c18-4bd7-9ebd-d26223eacc81https://video.osgeo.org/w/gWyFekkr16ESXh9euJMzqBhttps://video.osgeo.org/lazy-static/thumbnails/12f8cd61-b8c9-432b-af31-53e779730ea5.jpg03-Structurer l’information géographique au sein du Port Autonome de Strasbourg Le Port Autonome de Strasbourg (PAS) est le deuxième port fluvial de France et un acteur majeur de la logistique multimodale européenne. Son territoire combine zones industrielles, plateformes logistiques, réseaux techniques, servitudes réglementaires et projets d’aménagement à forte valeur stratégique. L’établissement assure l’entretien et l’exploitation de la zone portuaire tout en recherchant des ressources complémentaires pour assurer le développement de nouvelles activités. La PAS a approuvé son nouveau projet stratégique 2024-2028 et s’est fixé pour ambition de faire du port de Strasbourg « le grand port français du Rhin et le plus européen des ports français cultivant l’excellence et la coopération au service des territoires et de ceux qui les font vivre ». Il s’appuie sur quatre orientations majeures, déclinées en 12 sous orientations thématiques, s’appuyant elles-mêmes sur un plan d’action opérationnel. Dans ce contexte, l’information géographique constitue un outil essentiel pour comprendre, organiser et orienter les usages du territoire. Le SIG ne se limite pas à la cartographie : il constitue un outil d’aide à la structuration d’une gouvernance, à l’anticipation et la sécurisation des décisions. Apport de l’intervention Cette communication présentera : • Les grandes étapes de la mise en place du SIG au sein de l’établissement dont le socle est basé sur les solutions opensource (QGIS, QWC, Postgres/PostGIS) • La mise en place d’une base de données centralisée (PostGIS) et d’un WebSIG interne • L’outil WebSIG (basé sur QWC) comme point d’entrée pour la diffusion • La démarche de construction du référentiel patrimonial • L’initialisation d’une gouvernance claire de la donnée avec des référents donnée/métier • Les usages développés pour la connaissance, l’aide à l’arbitrage et à la décision • L’acculturation à la donnée, la montée en compétence et la conduite du changement dans l’établissemen...https://video.osgeo.org/videos/embed/8117618a-0f16-48bb-94d8-e19bf4d9859fhttps://video.osgeo.org/w/gKtkBhFTdFmFoHsUkv8SY2https://video.osgeo.org/lazy-static/thumbnails/46b5b7f3-03e5-4a43-80c6-5b563870f7fa.jpg02-QGIS, la passerelle vers de la cartographie innovante (physique et virtuelle) L’association S.M.Aug (Smart Map AUGmented), basée dans la région brestoise, a pour mission de « créer, promouvoir et diffuser des produits innovants à partir de données géographiques ». Depuis sa création en 2020, à la suite d’une victoire à l’Océan Hackathon de Brest, l’association ne cesse de repousser les limites de la cartographie traditionnelle. Notre conviction ? Les cartes ne sont pas de simples supports plats, mais de véritables interfaces entre le public et le territoire. Chez SMAug, nous croyons que les cartes peuvent devenir des expériences multisensorielles, accessibles à tous, et adaptées à des usages variés, qu’ils soient éducatifs, artistiques ou techniques. Notre outil central, QGIS, nous permet de transformer des données géographiques brutes en supports variés et interactifs. Lors de cette présentation, nous vous invitons à découvrir nos projets, passés et futurs, pour vous montrer comment nous utilisons QGIS afin de générer des cartes et environnements géographiques destinés à la fabrication numérique, à la réalité virtuelle, ou même à une combinaison des deux. Par exemple, nous avons conçu des cartes en bois gravées au laser pour des ateliers scolaires, ou encore des environnements 3D immersifs pour des expositions. Notre approche allie accessibilité, ludisme et pédagogie, pour rendre la géographie vivante, captivante et adaptée à tous les publics. Nous aborderons également l’écosystème des outils et des données libres que nous mobilisons pour nos créations. Comment sélectionner les bonnes données ? Quels logiciels utiliser pour les traiter ? Comment les adapter à des projets concrets ? Au programme : cartes en bois, impression 3D, cartes sonores, moteurs de jeux vidéo, musique, cartes imaginaires, bateaux et sémaphores, volcan sous-marin… Chaque projet est une aventure unique, mais tous partagent un point commun : QGIS, notre outil de prédilection pour donner vie à la géographie et la rendre accessible à tous ! [SMAUG](https://sm...https://video.osgeo.org/videos/embed/7f8ae8e1-f43a-4573-847f-f40a74e1b181https://video.osgeo.org/w/vhWMhSN8nmX2meHf6aXHF8https://video.osgeo.org/lazy-static/thumbnails/7e2d3021-4f66-458f-ba0b-1301f11239a3.jpg01-Un projet de dessin contemporain autour de la carte de navigation Depuis 5 ans, je dessine le littoral à la main, en compilant les relevés scientifiques du SHOM et ceux de l'IGN. Ce projet est né en regardant la mer, sur un sentier côtier du golfe du Morbihan. Je me suis rappelé les anciennes cartes qui étaient faites à la main, on pouvait à la fois être navigateur, scientifique, dessinateur, l'art et la science étaient complémentaires et souvent réunis ensemble. Aujourd'hui les scientifiques ont des partis-pris objectifs, et les artistes des vues subjectives. J'ai eu le désir de dessiner notre littoral en pensant qu'on pouvait réunir de nouveau l'art et la science. De formation artistique, je m'inspire de Georges Perec qu'on appelait le mathématicien du langage, pour son attrait à ne poser aucune limite à son travail, mais toujours en définir les contraintes. Les miennes sont celles de faire à la manière des scientifiques : mes cartes sont justes, et fausses, puisque je n'ai pas fait d'études de cartographie. Marine Le Breton Illustratrice à Brest https://video.osgeo.org/videos/embed/ed36ae6e-a2b5-4e44-9aa7-060be9ae7ae9https://video.osgeo.org/w/vZJUSKNcgzbNAosXQjujcXhttps://video.osgeo.org/lazy-static/thumbnails/220c56fd-7f02-4eca-acd1-e80272ad0e75.jpg0B-Groupe des utilisateurs local en BretagnePrésentation du groupe local des utilisateurs de QGIS : genèse, objectifs et organisation. Marjorie Fangain Chargée de Mission SIG au sein de Keolis Rennes, exploitant du réseau de transport en communs STAR.https://video.osgeo.org/videos/embed/f2e8dc7c-0040-4704-9ce4-a691def34f7dhttps://video.osgeo.org/w/f8F4nWmtbDfjB6oBKv1t51https://video.osgeo.org/lazy-static/thumbnails/85c98720-490d-462b-92f8-ef4aca50917a.jpg0A-Ouverture Conférences QGIS-FR 2026Allocutions d'ouverture des [Rencontres 2026](https://conf.qgis.osgeo.fr/) co-organisées par le [LETG](https://letg.cnrs.fr/?center=brest) et l'[UBO](https://www.univ-brest.fr/fr) ainsi que 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