Geospatial data and analytics are crucial tools for fire hazard preparedness, mitigation, and emergency response, but only if they accurately reflect real-world conditions. As both the natural and built environments rapidly change, keeping map data up-to-date can be challenging and resource-intensive – especially at statewide scales. As a result, many organizations are left to make critical decisions with stale and inaccurate information when precision matters the most.
To solve this challenge and keep maps current, the California Department of Forestry and Fire Protection (CAL FIRE) is now leveraging AI-based geospatial data that can be easily updated at high accuracy across large scales. Efficiently extracted from high-resolution aerial imagery across 32 million acres, this cutting-edge dataset includes buildings, tree canopy, water bodies, and other land cover features essential to CAL FIRE’s hazard analytics. Each building footprint is also attributed with fire factors such as distance to the nearest water body, tree, or other building, providing CAL FIRE with the insight needed to assess damage post-event and enhance public preparedness.
Join Mark Rosenberg from CAL FIRE and Thomas Peck from Ecopia AI for an in-depth webinar about how the State of California is leveraging AI-powered mapping data for:
- Post-fire damage inspection
- Defensible space identification
- Fire Hazard Zone mapping
& other applications of this data for fire hazard preparedness, mitigation, and response.
Speakers:
- Mark Rosenberg, Research Data Manager, CAL FIRE
- Thomas Peck, Senior Associate – Public Sector, Ecopia AI