dymaxionlabs/burned-area-detection
Detection of burned areas using deep learning from satellite images
This tool helps environmental managers and disaster response teams quickly identify and analyze areas affected by wildfires. By inputting Sentinel-2 satellite images, it produces maps highlighting burned regions and estimates burn severity. This allows users to understand fire behavior and the extent of damage for rapid response and long-term environmental monitoring.
No commits in the last 6 months.
Use this if you need to rapidly assess wildfire damage and track the evolution of burned areas using publicly available satellite imagery.
Not ideal if you require real-time fire detection for active incidents, as it focuses on post-fire assessment rather than live monitoring.
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21
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Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Feb 07, 2022
Commits (30d)
0
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