FLARE Support and Contact

FLARE (Fire and Landscape Analytics for Risk Estimation) is a real-time wildfire intelligence platform that delivers 250–450 m wildfire intelligence at a 5-minute refresh rate using a proprietary AI model applied to geostationary satellite data.

FLARE stands for Fire and Landscape Analytics for Risk Estimation.

FLARE continuously analyzes thermal and radiance data from geostationary satellites and uses a proprietary AI model to generate higher-resolution wildfire intelligence. This allows users to monitor thermal anomalies and evolving fire conditions with frequent updates.

FLARE uses GOES geostationary satellite data as its primary continuous monitoring source and incorporates VIIRS fire detection data from NASA as a reference layer for wildfire monitoring and validation.

NASA FIRMS and VIIRS provide extremely valuable wildfire detection products, but polar-orbiting satellites revisit locations only periodically. FLARE focuses on the operational gap between these passes by using a proprietary AI model to enhance continuously observing geostationary satellite data and provide more frequent wildfire intelligence updates.

FLARE is designed for electric utilities, insurance and reinsurance companies, energy infrastructure operators, emergency managers, and government agencies that need timely wildfire intelligence to support risk awareness and operational decision-making.

FLARE helps organizations monitor wildfire risk conditions, identify emerging thermal anomalies, improve situational awareness, and support earlier mitigation decisions related to infrastructure risk and wildfire exposure.

No. FLARE does not build satellites. It uses existing Earth observation satellite data and a proprietary AI model to produce operational wildfire intelligence.

FLARE is designed as the first product in a broader climate intelligence platform. Future capabilities are intended to expand into heat monitoring, flood risk intelligence, and other compound climate hazards using the same satellite data infrastructure and proprietary AI model.

Yes. FLARE can be explored through a short video walkthrough and an interactive product demo available directly from the website.

FLARE was founded by Manju Smriti, Founder and CEO of BRIDGE Research and Policy Foundation. Manju holds an MPA from the Brooks School of Public Policy at Cornell University and has experience in policy research and climate risk analysis.

FLARE processes new satellite observations approximately every 5 minutes, depending on data availability and processing latency. The Live Map also includes a timeline controller that allows you to view historical data from the past 72 hours.

Fire Radiative Power (FRP) is a measure of the rate of radiant heat output from a fire, typically measured in megawatts (MW). Higher FRP values indicate more intense fire activity.

Risk levels are calculated using a combination of factors including hotspot density, FRP intensity, brightness temperature, trend analysis, and proximity to the Wildland-Urban Interface (WUI).

Yes, you can export data in multiple formats including GeoJSON, CSV, and NetCDF. Use the 'Copy JSON' feature in the map tooltips for quick data extraction.

The What-If Simulator allows you to model the projected impact of fuel treatment interventions, WUI buffer zones, and vegetation management on fire risk. Results are based on statistical models and should be considered estimates.

No. This is demo data with inherent uncertainty. FLARE is designed for planning and analysis purposes. For operational dispatch decisions, please consult official fire agencies and verified data sources.