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.
University of Arizona - GIST 909 Master's of GIST Final Project
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.
A wildfire risk visualization tool for the city of Los Angeles using geospatial data and climate projections.
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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