wildfire-risk

Climate indices for multi- and compound-hazard monitoring (drought, flood, wildfire, energy)

End-to-end climate-health risk intelligence platform combining weather, air-quality, fire, and mortality data with dbt, PostgreSQL, ML alert ranking, and Dash.

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.

Climate data, grid-ready, open NOAA/NASA/USDA inputs for electric utility predictive maintenance.

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.

Flood and wildfire risk screening from Sentinel-2 and elevation data; calibrated probabilities checked on FEMA/USGS.

Professional energy data science portfolio — wildfire risk modeling, grid investment optimization, load forecasting, and energy economics research tools built for utility infrastructure analytics.

Open-source climate due-diligence screener for real estate - live NASA POWER climate signals, key-gated NASA FIRMS wildfire checks, transparent 0-100 hazard scoring, buyer checklists, and self-hosted .NET 10 + PostgreSQL + Docker Compose.

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.

Fire Risk Map for Lesvos Island

University of Arizona - GIST 909 Master's of GIST Final Project

Automated regional wildfire risk forecasting system using open data sources

Overstory — independent third-party profile of a public API surface, by API Evangelist. Overstory provides AI-powered vegetation intelligence for electric utilities and grid operators. The platform fuses high-resolution satellite and aerial imagery with machine learning to detect vegetation encroachment, hazard trees, and wildfire risk along power

Pitch Aeronautics — independent third-party profile of a public API surface, by API Evangelist. Pitch Aeronautics provides AI-powered weather intelligence and drone-deployable line solutions for electric utilities, helping them boost grid capacity, increase reliability, and reduce wildfire risk.

Official implementation of ST-SCKM: A spatially constrained spatio-temporal clustering algorithm for GeoAI, wildfire risk zoning, and spatial data science.