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GFire-UAB

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  1. CC-Prediction CC-Prediction Public

    Python 1 2

  2. FIRE-TRACE FIRE-TRACE Public

    FIRE-TRACE is a Python workflow for automatic wildfire perimeter extraction from airborne LWIR and NIR imagery.

    Python 1

  3. Test Test Public

    Repositori per comprovar el funcionament de diferents plataformes

    Python

  4. Airborne-Hyperspectral-Data-Processing 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…

    Jupyter Notebook

  5. ZAFM 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 spr…

    AGS Script

  6. NDVI 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 update…

    Python 2

Repositories

Showing 6 of 6 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).

    GFire-UAB/ZAFM's past year of commit activity
    AGS Script 0 GPL-3.0 0 0 0 Updated Sep 22, 2026
  • FIRE-TRACE Public

    FIRE-TRACE is a Python workflow for automatic wildfire perimeter extraction from airborne LWIR and NIR imagery.

    GFire-UAB/FIRE-TRACE's past year of commit activity
    Python 1 GPL-3.0 0 0 0 Updated May 28, 2026
  • CC-Prediction Public
    GFire-UAB/CC-Prediction's past year of commit activity
    Python 1 2 0 0 Updated Oct 21, 2025
  • 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.

    GFire-UAB/Airborne-Hyperspectral-Data-Processing's past year of commit activity
    Jupyter Notebook 0 GPL-3.0 0 0 0 Updated Sep 22, 2025
  • 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.

    GFire-UAB/NDVI's past year of commit activity
    Python 0 GPL-3.0 2 0 1 Updated Sep 22, 2025
  • Test Public

    Repositori per comprovar el funcionament de diferents plataformes

    GFire-UAB/Test's past year of commit activity
    Python 0 0 0 0 Updated May 12, 2023

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