AI Use Cases

Use case	Agency	Stage	High-impact	Topic area	AI classification	Sourcing
LCAT - Land Change Analysis Technique USDA-011 · Farm Production and Conservation	USDA	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
Wildlife Deterrent System USDA-086 · Natural Resources and Environment	USDA	Pilot	Not high-impact	Science	Computer vision	Contract and in-house
Data Triage and Processing DOJ-0305 · Department of Justice / FBI	DOJ	Pilot	Not high-impact	Law Enforcement	Computer vision	Purchased from vendor
Automated otolith aging using image processing [2024 INV#WO0000000109315] DOI-0225 · USGS	DOI	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
Machine-learning model to delineate sub-surface agricultural drainage from satellite imagery [2024 INV#WO0000000109078] DOI-0199 · USGS	DOI	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
Machine learning-based landscape feature classification using satellite and airborne imagery [2024 INV#WO0000000108791; 2024 INV#WO0000000108794] DOI-0192 · USGS	DOI	Pilot	Not high-impact	Science	Classical / predictive ML	Purchased from vendor
Machine Learning Image Classification of Wetlands and Soil moisture [2024 INV#WO0000000108779] DOI-0190 · USGS	DOI	Pilot	Not high-impact	Science	Classical / predictive ML	Contract and in-house
Wave runup and total water level observations from time series imagery at several sites with varying nearshore morphologies [2024 INV#WO0000000108262] DOI-0182 · USGS	DOI	Pilot	Not high-impact	Science	Computer vision	Developed in-house
Deep Learning based image segmentation [2024 INV#WO0000000107975] DOI-0175 · USGS	DOI	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
Random forest models for predicting water quality of inland waters from remotely sensed imagery DOI-0137 · USGS	DOI	Pilot	Not high-impact	Energy and the Environment	Classical / predictive ML	Developed in-house
Improving Prediction Capabilities for Barrier Island Landscape Change DOI-0114 · USGS	DOI	Pilot	Not high-impact	Science	Classical / predictive ML	Contract and in-house
Lake-wide monitoring and assessment of Great Lakes fisheries with autonomous vehicles and image analysis DOI-0113 · USGS	DOI	Pilot	Not high-impact	Science	Computer vision	Developed in-house
Developing land cover maps for barrier islands using satellite imagery DOI-0087 · USGS	DOI	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
Flor-AI: Developing a Remotely Sensed Image Classification Method for Inventory and Monitoring of Flora in Digital UAS Imagery DOI-0079 · USGS	DOI	Pilot	Not high-impact	Energy and the Environment	Computer vision	Developed in-house
Automating the Detection and Classification of Wildlife in Aerial Imagery [2024 INV#WO0000000109409] DOI-0075 · USGS	DOI	Pilot	Not high-impact	Energy and the Environment	Computer vision	Developed in-house
Mapping wood and wood hazards in the Willamette Basin, Oregon DOI-0063 · USGS	DOI	Pilot	Not high-impact	Science	Other	Developed in-house
Implementation of Artificial Intelligence to Estimate Population Size of a Migratory Bird from Aerial Thermal Imagery [2024 INV#DOI-67] DOI-0028 · FWS	DOI	Pilot	Not high-impact	Service Delivery	Computer vision	Developed in-house
Drone Imagery Analysis DOE-539 · LM HQ - Office of Legacy Management (LM)	DOE	Pilot	Not high-impact	Energy and the Environment	Classical / predictive ML	Purchased from vendor