end-to-end pipeline to predict next-day wildfire risk from NASA FIRMS (active fires) and Meteostat weather, train LightGBM, and visualize alerts in Streamlit.
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Updated
Aug 30, 2025 - Jupyter Notebook
end-to-end pipeline to predict next-day wildfire risk from NASA FIRMS (active fires) and Meteostat weather, train LightGBM, and visualize alerts in Streamlit.
A wildfire risk visualization tool for the city of Los Angeles using geospatial data and climate projections.
This repository contains the open source specifications for the FireBreak Risk API system, a comprehensive API framework for wildfire risk assessment and mitigation scoring. These specifications are designed to standardize how wildfire risk data is collected, processed, and shared across different platforms and organizations.
University of Arizona - GIST 909 Master's of GIST Final Project
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.
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