Washington state forest inventory maps
Description
The AI use case produces informational forest maps for the state of Washington, which may be used to support environmental monitoring and planning.
Detailed example
The AI system outputs 28 different forest inventory maps including (but not limited to) trees per acre, aboveground biomass, tree height, timber volume, and species composition.
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
The AI system improves access and usability of forest data by creating informational maps for end users.
Controls / human review
ATO: No; PIA: Not published
Data needed
Data from the Forest Inventory and Analysis program were used to train the models. Historical climate data and digital aerial photogrammetric point clouds collected as part of the National Agriculture Imagery Program were used as covariates.