Remote sensing and spatial analysis tools for Google Earth Engine
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Sep 13, 2022 - JavaScript
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burn-severity
Here are 7 public repositories matching this topic...
Evaluate Wildfire Environmental Impact and Assess Burn Severity Consequences using Cloud Based Geoprocessing via Earth Engine Streamlit App.
javascript css python html environment maps geospatial remote-sensing folium hacktoberfest wildfire geospatial-analysis forest-fire earth-engine streamlit geemap wildfire-detection burn-severity nbr-index
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Jan 28, 2026 - Python
Kumbara: Inventory of Forest and Land Fires in Central Kalimantan Province 2014 - 2024 An application to visualise the severity of land fires using the NBR and dNBR methods and the potential level of land fires using Fire Information for Resource Management System (FIRMS) hotspot points in Central Kalimantan Province, Indonesia.
javascript forest fire hotspot gee forest-fire nbr landsat-8 firms earth-engine-apps burn-severity hotspot-fire dnbr
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Mar 10, 2024 - JavaScript
Scripts and data for analyzing burn severity of the January 2025 Southern California wildfires using Sentinel-2 satellite imagery. This project explores the use of the Differenced Normalized Burn Ratio (dNBR) and Relativized Burn Ratio (RBR) to classify burn severity, leveraging publicly available satellite data.
data-analysis copernicus satellite-imagery earth-observation wildfire sentinel-2 wildfires wildfire-detection burn-severity
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Jan 27, 2025 - HTML
AI-powered wildfire damage detection using IBM/NASA Prithivi-EO-2.0 foundation models and hybrid spectral analysis for high-precision burn mapping.
flask computer-vision pytorch geotiff remote-sensing climate-change earth-observation change-detection wildfire-detection burn-severity foundation-models climate-tech geospatial-ai prithivi-eo nasa-hls
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Jan 22, 2026 - Python
Code for calculating IntFire
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Dec 10, 2024 - R
Automated geospatial pipeline ranking burned watersheds by post-fire debris-flow susceptibility from free public data — D8 flow accumulation + canyon-mouth basin delineation on 10 m USGS 3DEP DEMs, scored by burn severity × slope × contributing area. Validated at rank-AUC 0.987 (2017 Thomas Fire → 2018 Montecito). A within-fire relative ranking.
python geospatial gis remote-sensing hydrology dem geopandas rasterio wildfire flow-accumulation burn-severity debris-flow post-fire watershed-delineation hazard-screening pysheds usgs-3dep
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Jun 9, 2026 - Python
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