USDA · USDA-158 · record R1456
Washington state forest inventory maps
Department of Agriculture · Natural Resources and Environment
Overview
- Development stage
- PilotSource: b) Pilot – The use case has been deployed in a limited test or pilot capacity.
- High-impact designation
- Not high-impactSource: c) Not high-impact
- Impact justification
- Not reported
- Start date
- 2025-07-01 (day precision)Source: 7/1/2025
- Withheld from public reporting
- Not reported
Mission
- Topic area
- Energy and the Environment
- Operational functions
- No function tag matched Derived by keyword rules; see methodology
Problem the AI is intended to solve
The AI use case produces informational forest maps for the state of Washington, which may be used to support environmental monitoring and planning.
Expected benefits
The AI system improves access and usability of forest data by creating informational maps for end users.
System outputs
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.
Technology
- AI classification
- Classical / predictive MLSource: Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relatio…
- System name(s)
- Not reported
- Custom-developed code
- No
- Public source code
- Not reported
Sourcing
- How it was built
- Contract and in-houseSource: c) Developed with both contracting and in-house resources
- Vendor (as reported)
- University of Washington - Natural Resource Spatial Informatics Group
- Vendors (standardized)
- None on the standard list
A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.
Data and privacy
- Involves PII
- No
- Privacy Impact Assessment
- Not reported
- Authorization to Operate
- No
- Demographic features
- k) None of the above
- Training and evaluation data
- 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.
- Federal Data Catalog
- Not reported
Governance
0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.
Pre-deployment testingNo answer reported
AI impact assessmentNo answer reported
Independent reviewNo answer reported
Ongoing monitoringNo answer reported
Operator trainingNo answer reported
Fail-safeNo answer reported
Appeal processNo answer reported
User and public consultationNo answer reported
Potential impacts and how they were identified
Not reported