(WF) Use cases

ICEYE Wildfire Insights is the world’s first source for consistent, near-real-time wildfire data. This data based on observations and evidence of wildfire impact. It aims to deliver timely and precise quantification of damaged structures within a fire’s footprint. This data is used for a
variety of purposes including, but not limited to:

Government

Situational awareness and response coordination Rapidly understand the scope and geographic extent of an active wildfire as it unfolds, even through smoke, at night, or in inaccessible areas. Near-real-time SAR imagery allows responders to prioritise resource
deployment, coordinate emergency services, identify damage clusters for search-and-rescue prioritisation, and validate field reports with satellite-based evidence.

Receive structure-level damage data rapidly after. a wildfire to support impact assessments, damage declarations, and expedited access to funding. Distinguishing likely destroyed from not destroyed structures allows agencies to estimate housing loss, identify displaced households, and coordinate. sheltering and rebuilding faster than ground surveys
alone.

Direct response efforts to the areas and communities most at risk. Structure level damage classification enable teams to move beyond broad perimeter estimates, prioritise specific locations for relief and repair, and coordinate infrastructure recovery, reducing wasted effort and accelerating restoration.

Proactively reach affected residents and communities during and after a wildfire. Location-specific damage data enables targeted outreach to those who need it most, supports coordination with insurance carriersand public adjusters for damage verification, while avoiding unnecessary alarm for unaffected properties.

Enable government agencies and NGOs to allocate relief resources to the areas of greatest need, with. repeated assessments tracking recovery progress over time. Insights from structure level damage clustering and repetitive loss analysis inform longer term decisions.

Insurance

Receive structure-level damage data within 24 hours of a wildfire trigger to rapidly size exposure, activate reserving processes, and brief senior stakeholders ahead of ground-truth data becoming available.

Match destroyed-building outputs against policy registers to fast-track severe losses, allocate field adjusters efficiently, and reduce cycle time, improving outcomes for policyholders at their most vulnerable.

Proactively reach affected policyholders before, during, and after a wildfire. Location-specific damage data enables targeted outreach, identifying those who need immediate support while avoiding unnecessary alarm for unaffected customers.

Building damage assessments can serve as triggers or components in parametric and indemnity insurance solutions, providing a transparent and independently verifiable basis for trigger evaluation and supporting faster settlement without requiring field inspection.