Open Source and Web-Based GeoAI tool for Transparent Forest Fire Prediction
Formal Metadata
| Title | Open Source and Web-Based GeoAI tool for Transparent Forest Fire Prediction |
|
| Title of Series | |
| Number of Parts | 118 |
| Author | |
| Contributors | |
| License | 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. |
| Identifiers | |
| Publisher | |
| Release Date | |
| Language | |
Content Metadata
| Subject Area | |
| Genre | |
| Abstract | 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. |
|
| Keywords | |
