Mineral Resource Assessments
Mineral resource assessments require a significant amount of data evaluation and processing.
Lithium Potential Assessments
Identifying sources of lithium is critical to our Nations economic prosperity and security.
Geothermal Energy Assessments
Executive Order 14156 – Declaring a National Energy Emergency, directs federal agencies to identify and develop our Nations energy resources.
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…