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.
Columns (7)
| Use case | Agency | Stage | High-impact | Topic area | AI classification | Sourcing |
|---|---|---|---|---|---|---|
| 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 |
| LLM-Assisted Volcanic Alert Monitoring DOI-0109 · USGS | DOI | Pilot | Not high-impact | Science | Natural language processing | 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 |
| Reducing elevation error in coastal wetland digital elevation models DOI-0088 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | 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 |
| 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 |
| Invasive Carp Harvest Predictive Model DOI-0061 · 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 |
| Automated identification of ducks from hunter-submitted photos using deep learning models DOI-0074 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Automated photographic identification of Eastern box turtles DOI-0073 · USGS | DOI | Pilot | Not high-impact | Science | Computer vision | Developed in-house |
| Pathogen identification in salmon DOI-0071 · 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 |
| AI data harvesting project – ECOSphere [2024 INV#DOI-62] DOI-0014 · FWS | DOI | Pilot | Not high-impact | Science | Other | Developed in-house |
| Anomaly Detection for Financial Transactions Related to DOI Programs DOI-0010 · OIG | DOI | Pilot | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| DiscoverDOI DOI-0008 · USGS | DOI | Pilot | Not high-impact | Administrative Functions | Agentic AI | Developed in-house |
| BIA-GEO Assist DOI-0005 · BIA | DOI | Pilot | Not high-impact | Service Delivery | Generative AI | Developed in-house |
| Non-Generative AI use for Trust Information Analysis and Reporting Tool [2024 INV#WO0000000110516] DOI-0002 · BTFA | DOI | Pilot | Not high-impact | Administrative Functions | Computer vision | Purchased from vendor |
| Integration of AI, specifically CoPilot for GitHub, for BTFA Software Development Life Cycle Process for DME and O&M applications. DOI-0001 · BTFA | DOI | Pilot | Not high-impact | Information Technology | Generative AI | Purchased from vendor |
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