Predicting fire severity potential in future wildfires in California
Description
Provide information on where high fire severity (high vegetation mortality) is likely to occur during future wildfires. Provides information for planning where to conduct management activities to lower the adverse effects of future wildfire.
Detailed example
End product is a series of fire severity maps that estimate or predict where future wildfire will burn hotter and cause more vegetation mortality.
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
Cost savings. Reducing adverse effects of wildfire on forest resources and human communities.
Controls / human review
ATO: No; PIA: Not published
Data needed
Used observed fire severity data collected on all wildfires with size greater than 1000 acres in California.