A transparent intelligence platform built on the wildfire history of the islands — every recorded burn, ignition, and mitigation project across two decades — read against live observation and a fuel-driven probability method, so you can see where wildfire is most probable today, and why.
Each capability stands on the same foundation: real data, transparent methods, and provenance carried through every layer. Nothing is a black box.
Every fire perimeter, ignition, mitigation project, WUI zone, and landowner parcel on one interactive map — filterable by year, downloadable with citations.
Open the atlas →A daily, fuel-driven probability model scoring every cell of the islands. Click any cell to see exactly why it scored — fuel load, fire history, exposure, each weighted.
View the probability model →Near-real-time satellite fire detection from NASA FIRMS and active fire-weather alerts from the National Weather Service, fused onto the historical baseline.
See live conditions →Click anywhere and interrogate it: what has burned here, which projects defend it, who owns the land, how exposed the community is, how probable fire is there today.
Start investigating →Fire history, ignitions, and mitigation data join LANDFIRE fuel models and live satellite feeds in one spatial database.
A weighted model rates every cell on fuel, drought, wind, ignition history, past burns, and exposure — each contribution recorded.
Click a location and the platform returns its full dossier across every layer, with the reasoning shown, not hidden.
The platform is built on a documented spatial API. Every layer is queryable programmatically, and an MCP interface lets AI agents investigate the data directly — the same federated, provenance-first approach behind every Clarifico node.