AI use-case explorer

AI use cases

Search and filter every reported use case. Open a record for the agency's full description, governance answers and source provenance.

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Use case	Agency	Stage	High-impact	Topic area	AI classification	Sourcing
Seedling Identification and Percent Growth Analysis [2024 INV#WO0000000109200] DOI-0213 · USGS	DOI	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
Gulf Coast Geologic Energy Machine Learning [2024 INV#WO0000000109198] DOI-0212 · USGS	DOI	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
Using machine learning to detect invasive bullfrogs [2024 INV#WO0000000109159] DOI-0210 · USGS	DOI	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
Deep Learning application for automated mapping of surficial landforms, surficial geological deposits, and abandoned mine sites from lidar-derived topography [2024 INV#WO0000000109153] DOI-0209 · USGS	DOI	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
Lava lake thermal pattern classification using self organizing maps and relationships to eruption processes at Kilauea Volcano, Hawaii [2024 INV#WO0000000109098] DOI-0204 · USGS	DOI	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
InSAR and other geodetic studies at Volcanoes [2024 INV#WO0000000109093] DOI-0202 · 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
Extracting robust, searchable data from narrative geologic descriptions [2024 INV#WO0000000109022] DOI-0197 · USGS	DOI	Pilot	Not high-impact	Science	Generative AI	Developed in-house
Classifying GPS data to understand flight behavior of birds [2024 INV#WO0000000109015] DOI-0196 · USGS	DOI	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
Whole-lake indexing of round goby abundances with photographic catch data [2024 INV#WO0000000109010] DOI-0195 · USGS	DOI	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
Predicting PFAS in shallow soils in northern New England [2024 INV#WO0000000108973] DOI-0194 · USGS	DOI	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
Improving accuracy and precision of sonar-based estimates of fish abundance [2024 INV#WO0000000108800] DOI-0193 · 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
Predicting PFAS occurrence in groundwater using machine learning [2024 INV#WO0000000108780] DOI-0191 · USGS	DOI	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
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
Inventorying landforms with convolutional neural networks [2024 INV#WO0000000108738; WO0000000109117] DOI-0188 · USGS	DOI	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
Shoreline modeling [2024 INV#WO0000000108297; 2024 INV#WO0000000109312] DOI-0185 · USGS	DOI	Pilot	Not high-impact	Science	Classical / predictive ML	Developed 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
Sediment Transport in Coastal Environments [2024 INV#WO0000000108118] DOI-0179 · USGS	DOI	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
Machine learning based shoreline time-series imputation, classification and forecasting (time-series analyses) [2024 INV#WO0000000108117] DOI-0178 · USGS	DOI	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
National Oceanographic Partnership Program (NOPP) [2024 INV#WO0000000108018] DOI-0177 · USGS	DOI	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
Everlaw AI Assistant for Responsive Review DOI-0170 · OCIO	DOI	Pilot	Not high-impact	Administrative Functions	Agentic AI	Contract and in-house
Machine Learning for Bat Acoustics DOI-0168 · USGS	DOI	Pilot	Not high-impact	Science	Other	Developed in-house
Tephra classification with machine learning [2024 INV#WO0000000109095] DOI-0159 · USGS	DOI	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
HOTLink: identifying elevated thermal anomalies at volcanoes [2024 INV#WO0000000109217] DOI-0158 · USGS	DOI	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
target discrimination on portable radar DOI-0151 · USGS	DOI	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
AI to survey boat traffic DOI-0150 · USGS	DOI	Pilot	Not high-impact	Science	Classical / predictive ML	Purchased from vendor
Adaptive Management with AMMonitor DOI-0144 · 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
Four AI systems using different strategies to identify, classify and locate both volcano-tectonic and non-traditional volcanic earthquakes DOI-0132 · USGS	DOI	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
Wildfire Risk Assessment & Predictive Modeling DOI-0123 · USGS	DOI	Pilot	Not high-impact	Emergency Management	Classical / predictive ML	Contract and in-house
Mapping vegetation classes to understand wildfire fuel conditions DOI-0129 · USGS	DOI	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
AI/ML For Hazard Detection in Austere Environments with Automated or Remotely-Operated Rovers [2024 INV#WO0000000107424] DOI-0127 · USGS	DOI	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
Modeling Rupture Directivity Effects on Ground Motion Using Neural Networks DOI-0120 · USGS	DOI	Pilot	Not high-impact	Science	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
RSCC and TCA projects [2024 INV#WO0000000108017] DOI-0112 · USGS	DOI	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
Catalog of stock ponds using machine learning DOI-0108 · USGS	DOI	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
Experimental Forecast for River Chlorophyll DOI-0105 · USGS	DOI	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
Using deep learning to classify potential piping plover habitat along the Upper Missouri River DOI-0094 · USGS	DOI	Pilot	Not high-impact	Science	Computer vision	Developed in-house
Integrate High-resolution Satellite Remote Sensing Data with Automated Machine Learning Techniques to Enhance Water Quality Assessment DOI-0083 · USGS	DOI	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
DARPAs CriticalMAAS [2024 INV#WO0000000108419; WO0000000096527] DOI-0065 · USGS	DOI	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
Willamette Regional IWAAs, gradient boosted ML stream temperature modeling. DOI-0064 · USGS	DOI	Pilot	Not high-impact	Science	Classical / predictive ML	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
Automated power line extraction using deep learning DOI-0062 · USGS	DOI	Pilot	Not high-impact	Science	Computer vision	Developed in-house
Seasonal Water Supply Forecasting: Pyforecast [2024 INV#DOI-69] DOI-0047 · BOR	DOI	Pilot	Not high-impact	Energy and the Environment	Classical / predictive ML	Developed in-house
Piloting Machine Learning Inflow Forecasts Across Reclamation [2024 INV#DOI-58] DOI-0046 · BOR	DOI	Pilot	Not high-impact	Energy and the Environment	Classical / predictive ML	Purchased from vendor
AI for Offshore Energy: Innovative Technology Streamlines Marine Wildlife Surveys [2024 INV#DOI-66] DOI-0033 · FWS	DOI	Pilot	Not high-impact	Energy and the Environment	Computer vision	Contract and in-house
AI-Powered Wildlife Monitoring on National Wildlife Refuges DOI-0029 · FWS	DOI	Pilot	Not high-impact	Service Delivery	Computer vision	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