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OMB Individually Reported

Machine Learning Image Classification of Wetlands and Soil moisture [2024 INV#WO0000000108779]

Low riskExact public inventory row

Description

inform land managers, planners, and researchers about historical and current changes to human and natural environments, focused on floods, droughts, and fires

Detailed example

quantification of causal processes behind wildfire

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

ability to classify wetlands and soil moisture at large scales

Controls / human review

ATO: No; PIA: Not published

Data needed

Training Samples, Raster Images

Source

OMB 2025 Federal Agency AI Use Case Inventory

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