GFire-UAB
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FIRE-TRACE
FIRE-TRACE PublicFIRE-TRACE is a Python workflow for automatic wildfire perimeter extraction from airborne LWIR and NIR imagery.
Python 1
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Airborne-Hyperspectral-Data-Processing
Airborne-Hyperspectral-Data-Processing PublicThis Jupyter notebook extracts wildfire perimeters from remote sensing data, computing BAI, NDVI, and NDWI from RGBN and LWIR images. Burned areas are detected using high-percentile hotspots in BAI…
Jupyter Notebook
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ZAFM
ZAFM PublicZAFM (Zone-Adaptive Fuel Mapping) is a methodology for generating high-resolution wildfire fuel maps from land cover data. It uses publicly available resources to provide fuel maps for wildfire spr…
AGS Script
Repositories
- ZAFM Public
ZAFM (Zone-Adaptive Fuel Mapping) is a methodology for generating high-resolution wildfire fuel maps from land cover data. It uses publicly available resources to provide fuel maps for wildfire spread forecasting. Described in Zone adaptive fuel mapping for high-resolution wildfire spread forecasting (DOI: 10.1038/s41598-025-06402-1).
- FIRE-TRACE Public
FIRE-TRACE is a Python workflow for automatic wildfire perimeter extraction from airborne LWIR and NIR imagery.
- CC-Prediction Public
- Airborne-Hyperspectral-Data-Processing Public
This Jupyter notebook extracts wildfire perimeters from remote sensing data, computing BAI, NDVI, and NDWI from RGBN and LWIR images. Burned areas are detected using high-percentile hotspots in BAI and LWIR. Hotspots smaller than 1% of the largest are discarded. A concave hull then refines the final burned area.
- NDVI Public
Update croplands for wildfire fuel modeling using Sentinel-2 data and a pre-trained CatBoost AI. Computes NDVI, EVI, MSAVI, and GNDVI to classify fields as planted or unplanted, producing an updated fuel map for improved wildfire risk assessment.
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