QGIS Model – Wildfire Mapping : Automating Burn Index & Analysis

£2.00

This advanced QGIS model automates the full workflow for wildfire impact assessment using Sentinel-2 imagery. Designed for analysts, responders, and researchers, the model integrates key spectral indices and geospatial analysis tools to rapidly detect, classify, and quantify burn severity and its impact on infrastructure.

✅ Key Features:

  • Automated Calculation of wildfire indices:

    • NBR, NBR2, MIRBI, BAIS2, NDVI, GEMI, and Moisture Stress Index

  • Burn Area Classification using threshold-based raster math

  • Polygonization of burned zones and active fire fronts

  • Impact Assessment:

    • Extracts buildings and roads within burned zones and a 1 km fire buffer

    • Integrates OpenStreetMap data (via Overpass API)

  • Area Statistics with burned surface summaries

  • Spreadsheet Export for reporting and decision-making

🛰️ Input:

  • Pre-processed Sentinel-2 bands: B4 (Red), B8 (NIR), B11 (SWIR1), B12 (SWIR2)

🧭 Output:

  • Burned area vector layers

  • Infrastructure-at-risk layers

  • Thematic raster outputs for each index

  • Tabular reports in Excel format

Whether you're mapping recent wildfires or building your own burn severity monitoring toolkit, this model offers a robust, no-code solution for repeatable, scalable analysis — 100% open source.

This advanced QGIS model automates the full workflow for wildfire impact assessment using Sentinel-2 imagery. Designed for analysts, responders, and researchers, the model integrates key spectral indices and geospatial analysis tools to rapidly detect, classify, and quantify burn severity and its impact on infrastructure.

✅ Key Features:

  • Automated Calculation of wildfire indices:

    • NBR, NBR2, MIRBI, BAIS2, NDVI, GEMI, and Moisture Stress Index

  • Burn Area Classification using threshold-based raster math

  • Polygonization of burned zones and active fire fronts

  • Impact Assessment:

    • Extracts buildings and roads within burned zones and a 1 km fire buffer

    • Integrates OpenStreetMap data (via Overpass API)

  • Area Statistics with burned surface summaries

  • Spreadsheet Export for reporting and decision-making

🛰️ Input:

  • Pre-processed Sentinel-2 bands: B4 (Red), B8 (NIR), B11 (SWIR1), B12 (SWIR2)

🧭 Output:

  • Burned area vector layers

  • Infrastructure-at-risk layers

  • Thematic raster outputs for each index

  • Tabular reports in Excel format

Whether you're mapping recent wildfires or building your own burn severity monitoring toolkit, this model offers a robust, no-code solution for repeatable, scalable analysis — 100% open source.