Remote sensing and spatial analysis tools for Google Earth Engine
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Updated
Sep 13, 2022 - JavaScript
Remote sensing and spatial analysis tools for Google Earth Engine
Evaluate Wildfire Environmental Impact and Assess Burn Severity Consequences using Cloud Based Geoprocessing via Earth Engine Streamlit App.
AI-powered wildfire damage detection using IBM/NASA Prithivi-EO-2.0 foundation models and hybrid spectral analysis for high-precision burn mapping.
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.
Open-data project that maps burn severity from the January 2025 Southern California wildfires using Sentinel-2 imagery and dNBR/RBR classification, with an interactive map overlay on OpenStreetMap.
Code for calculating IntFire
This repository contains the Earth Data Analysis Center (EDAC) team's submission for Planet's Tanager Open Data Competition.
Remote-sensing experiments on wildfire burn-severity mapping, cross-event transfer, and pre-fire prediction using Landsat, MTBS, and CanLaBS.
Data and supplementary material for "Influence of Burn Severity on Avifaunal Communities in Southern Tropical Dry Deciduous Forest, Western Ghats" (Ecology and Evolution, 2026).
An interactive Earth Observation Web App built with Streamlit, Google Earth Engine, and Sentinel-2 to assess wildfire severity and land cover impact.
Reproducible Python & GMT/PyGMT workflow for mapping burn severity of the June 2025 Seferihisar–Menderes (Orhanli) forest fire from Landsat 8/9, using an explainable Random Forest (SHAP).
Google Earth Engine app for near-real-time wildfire monitoring across Kalimantan, Indonesia. Integrates VIIRS active fire detections, Landsat 8/9 burn severity (ATBI/dATBI), and Sentinel-1 SAR. Includes desktop and mobile GEE App versions.
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