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Open Source and Web-Based GeoAI tool for Transparent Forest Fire Prediction

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Open Source and Web-Based GeoAI tool for Transparent Forest Fire Prediction
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119
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CC Attribution 4.0 International:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Utilizing open geospatial data and AI, we are trying to predict forest fire susceptibility in Brandenburg. This case study showcases full-stack web-GIS, emphasizing user interaction and transparent AI through open-source tools like GEE, GDAL, Python, Maplibre, and TiTiler.
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