OMB Individually Reported
Predicting post-fire tree mortality
Low riskExact public inventory row
Description
We used random forests to select predictor variables for models of individual tree mortality following fire.
Detailed example
Predictive models of postfire tree survivorship.
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
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
These science products strengthen wildland fire and timber management practices.
Controls / human review
ATO: No; PIA: Not published
Data needed
A database of fire effects to describe the determinants of fire-induced tree mortality.