OMB Individually Reported
LCAT - Land Change Analysis Technique
Low riskExact public inventory row
Description
Generating landcover from imagery
Detailed example
Maps of landcover
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
Benefits include reduced waste, fraud, and abuse; informed decision making; land use planning and crop reporting; habitat management
Controls / human review
ATO: No; PIA: Not published
Data needed
National Agriculture Imagery Program (NAIP) imagery, user-generated training data (labeled points with landcover information)