Wildfire seasons are getting longer and fire agencies are running out of coordination bandwidth. IGNIS processes satellite thermal data, weather models, and terrain analysis to detect fires early, predict spread, and coordinate multi-agency response before the window closes.
Wildfire seasons are getting longer, more severe, and more expensive. In the US alone, the 2025 fire season burned over 7 million acres. Globally, fire-affected area has expanded significantly in the past decade, driven by drought, heat, and land use changes. The detection-to-response window is the single most important variable in wildfire outcomes, and it is consistently extended by coordination delays between agencies that were never built to share data in real time.
The data to detect and predict wildfires exists. NASA's FIRMS (Fire Information for Resource Management System) provides satellite thermal detection globally. NOAA publishes weather forecasts and fire weather indices. USGS maintains topographic and vegetation data critical for spread modeling. But these data sources sit in separate systems, updated on different schedules, and the fire agencies responsible for response are often using radio, spreadsheets, and phone calls to coordinate across jurisdictions.
IGNIS connects the detection, prediction, and response layers into a single coordination system. It processes satellite thermal data for early fire detection, runs spread prediction models that integrate weather, terrain, and fuel load data, and coordinates resource allocation across agencies. The firefighters stay on the line. IGNIS handles the logistics behind them.
Six core functions covering the full wildfire response stack, from satellite detection to post-fire recovery planning.
Processes NASA FIRMS satellite thermal imagery and ground sensor data to identify fire ignition points within minutes, not hours.
Runs fire behavior models integrating real-time weather data, topographic profiles, vegetation moisture content, and historical burn patterns.
Maps available resources across agencies and jurisdictions, generates deployment recommendations, and tracks resource allocation in real time.
Generates evacuation zone recommendations based on fire spread predictions, road network capacity, and population density analysis.
Tracks crew availability, equipment deployment, air support status, and supply chain logistics across all participating agencies.
Monitors post-fire areas via satellite for reforestation needs, erosion risk assessment, and long-term ecosystem recovery tracking.
Where IGNIS stands today and where it's heading next.
The scale of the problem and the data IGNIS works with.
Three steps from download to running operations. No build process, no dependencies.
Grab the IGNIS operator files from GitHub. Drop them into your Claude workspace at operators/ignis/. No build process, no dependencies.
Set your geographic monitoring zone and fire risk thresholds. Connect local weather station feeds if available. Copy the config template and customize for your region.
Start a conversation. IGNIS runs its orientation check, connects to satellite and weather feeds, and begins monitoring. Detection, prediction, coordination, reporting.
Download IGNIS. Deploy it for your agency or region. Every prediction model improvement, every data integration, benefits every fire response team using it.
← Return to The Gato Legion