OMB Individually Reported
Late seral forest complexity
Low riskExact public inventory row
Description
To evaluate relationships between remotely collected data on forest conditions and more detailed information on forest conditions obtained through direct measurements in the forest
Detailed example
Predictive relationships between easily measured metrics and complex, expensive, and/or time-consuming metrics that address important aspects of forest health
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
A better understanding of how to accomplish and document desired forest conditions through management
Controls / human review
ATO: Not reported; PIA: Not published