https://video.osgeo.org/videos/watch/f2cefc8a-f123-424a-a859-6464eaf47348 Michele 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 #GIS Wed, 08 Jul 2026 05:19:55 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/f2cefc8a-f123-424a-a859-6464eaf47348 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.