The ForestSat Platform
Not a single dashboard — an operating system. Each product shares satellite data, AI models, and customer context with all others, creating compounding value across the full Predict → Prevent → Verify → Respond → Recover lifecycle.
Technology Foundation
Sentinel-2/3, Landsat, SAR Radar, MODIS, GOES-18, ESA, NASA, JAXA, ISRO, Bhuvan and commercial constellations. 375m–10m resolution, sub-hourly to weekly cadence.
Risk prediction, fire spread simulation, fuel load mapping and scenario generation. Models trained on 10+ years of satellite and environmental data. NVIDIA GPU-accelerated.
Fuel accumulation, canopy structure, vegetation stress, drought signatures, 50+ environmental variables. Decades of fire footprint analysis and forest health diagnostics.
Cloud-scale geospatial processing, dashboard delivery, API-ready outputs, role-based access. AWS Space Challenge winner ($250K credits). Secure enterprise-grade architecture.
Satellite Data + AI Wildfire Risk Prediction for Preventive Action
ForestSat Wildfire Insight™ is the predictive wildfire intelligence engine of the ForestSat platform, built to map areas at risk of wildfire — often years before ignition. It analyzes more than a decade of satellite and environmental data to map forest health, fuel accumulation, and risk trajectory.
Forest professionals and scientists know that the conditions making wildlands prone to massive wildfires develop quietly over long periods. That is why ForestSat goes back nearly a decade, downloading and analyzing images from more than six satellites, week after week, to develop a clear and reliable risk map. It then becomes evident where — especially under extreme weather — conditions can inevitably lead toward catastrophic wildfire if left unmanaged.
10+ years of Earth Observation satellite data: fuel buildup, vegetation stress, canopy-density change, moisture decline, terrain, wind exposure and historic burn signatures. Data from NASA, ESA, JAXA, ISRO, Sentinel, Landsat, SAR and commercial constellations.
AI and machine-learning risk models trained on 50+ environmental variables. Detects patterns of risk accumulation and how ignition could escalate under extreme weather. Scenario simulation for what-if fire weather conditions.
Dynamic area-at-risk maps showing exposed communities, property, infrastructure, agriculture and ecological zones. Risk classification: Low → Moderate → High → Extreme. Fuel overload identification. Not just where fire starts — what will burn.
Early, targeted intervention before fire season — reducing dependence on expensive suppression and enabling budget prioritization. The Dixie Fire cost $637M to suppress. Satellite monitoring + prescribed burn treatment for the same landscape: tens of thousands of dollars.
Translates risk intelligence into year-round action plans: fuel reduction, vegetation management, firebreak preparation, brush clearance and protection of exposed zones. Dynamic — not static plans.
Identifies where intervention is required, what type of action will be most effective, and which areas should receive priority before summer fire season. Optimizes limited prevention budgets for maximum risk reduction.
Instead of static plans or late-stage response, agencies get dynamic guidance based on changing forest conditions, fuel load and evolving weather exposure. Converts insight into budgets, tasks, contractor work orders and measurable outcomes.
"If ignition occurs at this point, what happens in the next 6, 12, 24 hours?" Pre-emptive containment planning based on modeled fire behavior under forecast weather — enables proactive resource deployment before fire starts.
Satellite + AI Wildfire Prevention & Risk-Mitigation Decision Support System
ForestSat Wildfire Guardian™ is the prevention and risk-mitigation Decision Support System (DSS) of the ForestSat platform. It is designed to translate wildfire risk intelligence into continuous, on-the-ground, proactive preventive action throughout the year — especially in the lead-up to the summer fire season.
Built on the predictive outputs of ForestSat Wildfire Insight™, Guardian integrates real-time satellite data with evolving forest conditions to guide authorities in managing fuel loads, vegetation, and preparing high-risk zones. It enables decision-makers to prioritize resources, act early when intervention is still practical, and systematically reduce wildfire risk across large territories.
Monitor · Verify · Report — Wildfire Risk Mitigation & Preventive Action
The system of record for prevention budgets. Satellite proof of what was done, what it cost, and whether wildfire risk was actually reduced — for policymakers, auditors, insurers, and all stakeholders.
Uses satellite, aerial and field inputs to observe whether mitigation measures were carried out in the identified areas at risk. Asynchronous high-resolution satellite verification.
Confirms what was done, where, when, by whom — and whether it aligns with the prevention plan. Independent contractor accountability. Before vs. after risk scenario visualization.
Direct link between action, cost and outcome. Policy reports, ESG and climate disclosures, investor-grade performance documentation, insurance verification evidence.
Governments spend $6.55B/year (US alone) on wildfire — but cannot demonstrate what was done or whether risk was reduced. Utilities spend billions on mitigation (SCE: $6.2B plan) but face litigation because outcomes are unverified. Insurers need risk reduction evidence for underwriting.
MVR makes ForestSat the system of record — not just an analytics tool. It answers the questions that matter: What was done? What did it cost? Did it reduce wildfire risk?
AI-Powered Fire Spread Prediction for Firefighting & Emergency Response
Activated from the moment wildfire ignition is detected, ForestSat Wildfire Response™ uses AI-driven modeling combined with live satellite data, weather inputs and field intelligence to predict how a fire will behave — its direction, speed of spread, intensity and likely impact on surrounding areas.
Instead of reacting to the current fire line alone, authorities can act based on where the fire is going next — reducing response time, improving coordination, and increasing the effectiveness of suppression. The platform integrates wind speed and direction, temperature, terrain, fuel conditions and live satellite observations continuously.
From first detection, Response combines live satellite data, weather, terrain, fuel conditions and field intelligence. Built on the pre-existing fuel load understanding of Insight™ — no cold start.
Models direction, speed, intensity and likely impact. Containment planning, resource deployment and evacuation strategies with dynamically updated fire-spread predictions as conditions evolve in real time.
Identifies high-risk zones in the fire's path. Supports civil defense authorities in alerting communities in advance, enabling more orderly and timely evacuations. Reduces loss of life.
Fire agencies, civil defense, utilities, emergency services. Integrates with NIFC, NICC and national incident command infrastructure. International markets: Australia NEMA, EU Civil Protection, India NDMA.
Pre/post-fire satellite comparison maps extent, severity and nature of damage — homes, infrastructure, agriculture, forest, biodiversity. Burn severity, total and partial destruction zones, carbon emissions, soil degradation.
Objective evidence for governments and insurers: what was lost, where, how severe. Insurance validation and subrogation support. Structured reporting for transparent, verifiable claims assessment.
Tracks reforestation, rehabilitation, soil recovery and ecosystem regeneration over time. Long-term measurable outcomes. Ensures recovery is data-driven, transparent and resilient.
$40B 2025 LA insured losses (Munich Re). $107B 2025 global NatCat total. Recovery™ gives insurers the objective damage evidence the market urgently needs. Opens government, insurance and restoration revenue streams.
Fire Damage Assessment & Recovery Intelligence System
ForestSat Wildfire Recovery™ is the post-fire intelligence engine of the ForestSat platform, designed to measure the full impact of wildfire and guide recovery with clarity and precision. It analyzes pre-fire and post-fire conditions using historical satellite data, aerial observations and field inputs.
Beyond damage assessment, the platform supports long-term recovery and restoration planning. It tracks how affected areas regenerate over time, monitors reforestation and rehabilitation efforts, and evaluates whether investments in recovery are delivering the intended outcomes.
Pilots available for counties, forest departments, utilities, insurers and government agencies. Q2–Q3 2026 rollout. Technology ready.