OMB Individually Reported
Fire Effects at Whiskeytown National Recreation Area and Lava Beds National Monument
Low riskExact public inventory row
Description
We used random forests to predict the mortality class (live/dead) of lidar derived tree approximate objects and vegetation conditions.
Detailed example
Maps post-fire seed dispersal and tree survival following wildfire at Whiskeytown NRA and vegetation cover after wildfires at Lava Beds National Monument.
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
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
These science products will strengthen wildland fire and timber management practices.
Controls / human review
ATO: No; PIA: Not published