Fire Containment Suitability (FireCON)
Description
Identification and assessment of appropriate wildland fire containment locations to improve the quality of information available to incident command teams.
Detailed example
Outputs daily mapped probabilities summarizing weather, wind, topography, fuels, potential fire behavior, and other variables showing the suitability of wildfire containment for an area around an active wildfire and reduce uncertainty during wildfire management.
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
b) Pilot – The use case has been deployed in a limited test or pilot capacity.
Expected benefit
Improved efficiency and effectiveness of fire containment strategies.
Controls / human review
ATO: No; PIA: Not published
Data needed
Data includes the annual west-wide Potential Control Location Suitability model outputs from 2020-2023, Topofire daily soil moisture and soil moisture anomaly, hourly weather data from National Oceanic and Atmospheric Administration (NOAA), satellite (VIIRS) 12-hour fire detections from National Aeronautics and Space Administration (NASA), National Infrared Operations (NIROPS) high-resolution daily fire progression tracking from 2020-2023.