OMB Individually Reported
Forest Inventory and Cruising using GAIA AI
Low riskExact public inventory row
Description
Intended to solve the problem of collecting forest inventory data in large areas with limited staff and time.
Detailed example
A tree list for forest inventory and volume determination (cruising), forest growth, and management data.
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 use case has the potential to generate accurate forest inventory data with less staff and at a higher pace. Increasing the pace and scale of forest management and restoration.
Controls / human review
ATO: No; PIA: Not published
Data needed
The data used to train the AI ouput is forest plot data collected onsite using the AI system