https://video.osgeo.org/videos/watch/22c3a67f-73ea-4ab0-8720-915a68ed6f15 "The purpose of this work is to show the benefits and difficulties of using scripts, whether in Python or SQL. The work is the result of the author's experience in developing sophisticated Python scripts to build a thematic model for the heat spot data from the “BD Queimada program” of Brazil's National Institute for Space Research. The thematic model consists of generating tables in the database (Postgres) that represent the themes with the heat spot data. The themes are represented by area of interest, such as Conservation Units, Indigenous Lands, Settlements, Biomes, ... The aim of the work was to import the heat spot data and generate aggregated tables with themes in an automated way, making it easy to add new themes. After the script went into production, it was necessary to add another theme, and although I made an effort in the script to make it easy to add a new theme, things didn't work out the way I wanted them to. By writing the script in SQL, and putting it into production, the author can observe the details of when we should use Python or SQL to automate the thematic model with hotspots. The script is being used to help monitor forest fires in the main areas of operation of The National Center to Prevent and Combat Forest fires. Luiz Motta Use cases & applications" Wed, 27 May 2026 17:23:50 GMT https://validator.w3.org/feed/docs/rss2.html PeerTube - https://video.osgeo.org https://video.osgeo.org/lazy-static/avatars/de841c88-3a57-45ac-9eff-a00237356bfc.png https://video.osgeo.org/videos/watch/22c3a67f-73ea-4ab0-8720-915a68ed6f15 All rights reserved, unless otherwise specified in the terms specified at https://video.osgeo.org/about and potential licenses granted by each content's rightholder.