Margaret A Goldman
Margaret Goldman is a Physical Scientist with the Geology, Geophysics, and Geochemistry Science Center.
Science and Products
Extracting data from maps: applying lessons learned from the AI for Critical Mineral Assessment Competition
This project will share techniques developed in two AI/ML competitions run in Fall 2022, Automated Map Georeferencing, and Automated Map Feature Extraction with USGS stakeholders. We will develop a strategy to operationalize successful approaches, benefiting any activity that uses legacy map data.
Data Management and Spatial Studies - GGGSC
We provide support for geospatial analyses, mobile field data collection, management of geospatial collections including documentation, and distribution of all dataset types (geophysical, geochemistry, remote sensing (hyperspectral), etc.). GIS and data management support are provided including hyperspectral and geophysical studies that improve capabilities and applications for investigating...
21st Century Prospecting: AI-assisted Surveying of Critical Mineral Potential
The USGS Mineral Resources Program entered a partnership with the Defense Advanced Research Project Agency (DARPA). The partnership objective is to accelerate advances in science for understanding critical minerals, assessing unknown resources, and increase mineral security for the Nation so USGS can more efficiently assess critical mineral deposits within the United States.
Update of North American Airborne Radiometric Survey Data Using Advanced Statistical Techniques and Parallel Computing
The purpose of this project is to update the current gridded products created from the North American airborne gamma ray spectrometry data using new statistical techniques to analyze spatial data and to create higher quality national airborne radiometric grids.
Mineral Resource Assessment Training
The USGS Mineral Resources Program conducts mineral resource assessments and is training USGS scientists in how to conduct these assessments for future work. As a practical exercise, the scientists will conduct an assessment for tungsten in the U.S.
Science and Products
Extracting data from maps: applying lessons learned from the AI for Critical Mineral Assessment Competition
This project will share techniques developed in two AI/ML competitions run in Fall 2022, Automated Map Georeferencing, and Automated Map Feature Extraction with USGS stakeholders. We will develop a strategy to operationalize successful approaches, benefiting any activity that uses legacy map data.
Data Management and Spatial Studies - GGGSC
We provide support for geospatial analyses, mobile field data collection, management of geospatial collections including documentation, and distribution of all dataset types (geophysical, geochemistry, remote sensing (hyperspectral), etc.). GIS and data management support are provided including hyperspectral and geophysical studies that improve capabilities and applications for investigating...
21st Century Prospecting: AI-assisted Surveying of Critical Mineral Potential
The USGS Mineral Resources Program entered a partnership with the Defense Advanced Research Project Agency (DARPA). The partnership objective is to accelerate advances in science for understanding critical minerals, assessing unknown resources, and increase mineral security for the Nation so USGS can more efficiently assess critical mineral deposits within the United States.
Update of North American Airborne Radiometric Survey Data Using Advanced Statistical Techniques and Parallel Computing
The purpose of this project is to update the current gridded products created from the North American airborne gamma ray spectrometry data using new statistical techniques to analyze spatial data and to create higher quality national airborne radiometric grids.
Mineral Resource Assessment Training
The USGS Mineral Resources Program conducts mineral resource assessments and is training USGS scientists in how to conduct these assessments for future work. As a practical exercise, the scientists will conduct an assessment for tungsten in the U.S.