Classical and quantum machine-learning framework for detecting and mapping natural hydrogen prospectivity in Kazakhstan using Sentinel-2 satellite imagery.
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Apr 19, 2026 - Python
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geospatial-ml
Here are 3 public repositories matching this topic...
Near-term wildfire risk forecasting platform for California using H3 geospatial indexing, NASA FIRMS, AlphaEarth embeddings, weather features, baseline ML models, and a map-ready dashboard.
h3 remote-sensing lightgbm earth-engine risk-mapping wildfire-prediction wildfire-risk nasa-firms alphaearth geospatial-ml
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Apr 15, 2026 - Python
Wildfire risk prediction at 10m resolution using Google DeepMind's AlphaEarth Foundation embeddings + NASA FIRMS. XGBoost + LightGBM ensemble with blocked spatial CV and SHAP explainability
python remote-sensing xgboost satellite-imagery google-earth-engine wildfire shap foundation-models nasa-firms geospatial-ml
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Mar 22, 2026 - Python
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