Machine Learning Refines Quagga Habitat Suitability [2024 INV#DOI-74 (NEW)]
Invasive mussels pose a number of challenges for the continuous operation of water infrastructure.
Piloting Machine Learning Inflow Forecasts Across Reclamation [2024 INV#DOI-58]
Reclamation utilizes streamflow forecasts to inform reservoir operations.
Seasonal Water Supply Forecasting: Pyforecast [2024 INV#DOI-69]
Reclamation utilizes water supply forecasts (cumulative expected inflow over multiple months) to inform reservoir operations and water allocation decisions.
Using Machine Learning to Automate Crack Mapping and Structural Health Monitoring
Monitoring infrastructure health, particularly crack mapping in large concrete structures is highly time consuming and can be subject to the individual performing the work.
Automating the Detection and Classification of Wildlife in Aerial Imagery [2024 INV#WO0000000109409]
The tools and workflows developed by this project will be used by the Bureau of Ocean Energy Management (BOEM) to assess wildlife populations as part of planning and monitoring fo…
Flor-AI: Developing a Remotely Sensed Image Classification Method for Inventory and Monitoring of Flora in Digital UAS Imagery
This project supports the management of oak-pine barrens on the Necedah National Wildlife Refuge, Wisconsin. Necedah NWR staff conduct habitat management actions (prescribed burni…
U.S. Wind Turbine Database
Capture of geographic location of wind turbines from high resolution satellite imagery with object detection pipelines vs manual methods
Enhancing U.S. critical mineral supply chains through AI and remote sensing mapping of legacy mine sites and tailings
There is growing interest in producing critical minerals and energy-related commodities within the United States to reduce dependence on foreign sources. However, many legacy mine…
Classifying CWD-Infected Elk Using Recurrent Neural Networks on GPS Movement Data
Chronic Wasting Disease is difficult and costly to diagnose using traditional biological testing. However, the disease affects an elk's behavior and movement over time. By analyzi…
Random forest models for predicting water quality of inland waters from remotely sensed imagery
Inland waterbodies (i.e. rivers, lakes, reservoirs, ponds, etc.) can face issues of poor water quality which may pose issues to water users, water infrastructure, and ecosystems.…
An integrated sensor network and data driven approach to satellite remote sensing of Dissolved Organic Matter
AI leverages the very large water quality dataset from extensive existing in situ data at continuous monitoring stations to develop a remote sensing model with improved accuracy f…
Remote sensing of particulate and filter passing mercury species: models and proxies
AI provides the framework for understanding the relationship between optical water quality parameters and non-optical contaminants to develop highly accurate remote sensing models…
Determining the resource potential of critical minerals in seafloor massive sulfide deposits [2024 INV#WO0000000109311]
The system predicts the location of seafloor massive sulfide deposits for use as critical mineral indicators. Produces associated mapping products for public use.
Mapping ecohydrological headwater refugia
This application of machine learning is being used to aggregate complex spatial data to develop a statistical model used to create detailed maps of headwater stream resources and…
Autonomous Drone Inspections
The Bureau of Safety and Environmental Enforcement within the Department Of Interior, is requesting a trade study of the feasibility of autonomously inspecting off-shore facilitie…
Well Activity Report Classification
Researching the use of Masked Language Models and Convolutional deep neural networks to identify classification systems for significant well event using data from Well Activity Re…
Level 1 Survey Report Corrosion Level Classification
Offshore operators conduct Level 1 surveys annually to report on platform structural integrity, as mandated by 30 CFR 250.901(a)(7), and submit these surveys to BSEE. Each survey…
ROV Smart Touch Subsea Pipeline Inspections
The lack of efficiency and or capability for BSEE and the Oil and Gas industry to inspect bolt failures for underwater pipelines.
Veritone
Improve transcription and translation of written, video, and audio files
Summarization & Policy Analysis for Regulatory Comments (originally Leverage AI in the Rulemaking Process Use Case)
Addresses duration, efficiencies, and accuracies in initial comment analysis.
Improve Safety Inspections Use Case
The AI solution is intended to enhance the efficiency and accuracy of dam and LNG pipeline structure inspections by FERCs Dam inspectors. It will analyze historical and real-time…
Enhance Market Surveillance and Fraud Detection Use Case
The AI solution aims to assist staff in analyzing large and complex market datasets for market integrity and compliance purposes. It will process and interpret vast amounts of tra…
Support Interconnection Request Responses Use Case
The AI solution will be designed to address the growing backlog of project interconnection requests and reduce the average three-year wait time. By accelerating the processing of…
Gas Blanket Certificates (Permitting)
It is designed to streamline the classification, tracking, and summarization of filings and issuances related to blanket certificates, reducing manual workload and improving consi…