Laurie Zielinski (Former Employee)
Science and Products
Development of small uncrewed aerial systems for multi-instrument geophysical data acquisition in active geothermal systems
Small Uncrewed Aerial Systems (sUAS) serve as critical platforms for geophysical data collection at an intermediate scale between lower resolution, regional datasets collected via crewed aerial surveys, and high resolution, but spatially sparse sampling of ground-based data collection methods. Advances in sensor design and sUAS capabilities have led to rapid advances in the amount and type of geop
Authors
Grant Harold Rea-Downing, Claire Bouligand, Jonathan M.G. Glen, Tait E. Earney, Laurie A. Zielinski, Jacob Elliott Anderson, Peter J. Kelly
UAS-based tools for mapping and monitoring hydrothermal systems: An example from Mammoth Lakes, California
Unoccupied Aerial Systems (UAS) can accommodate a variety of tools for mapping and monitoring hydrothermal systems (e.g., magnetic, gas, photogrammetry, and thermal infrared [TIR]). These platforms offer increased speed, coverage area, and uniformity compared to ground-based measurements, as well as lower flight height – and therefore higher resolution – than occupied aircraft.
We adapted a suite
Authors
Laurie Antoinette Zielinski, Jonathan M.G. Glen, Tait E. Earney, Grant H. Rea-Downing, R. Greg Vaughan, Peter J. Kelly, Gordon H. Keller, Branden James Dean, William Schermerhorn
Gravity, density, and magnetic property measurements of the Sierra Nevada, California and Nevada
This data release presents point data associated with the geologic and geophysical maps of the Sierra Nevada Digital Earth Science Atlas led by the California Geological Survey and U.S. Geological Survey. Data include principal fact information for new gravity measurements collected by the U.S. Geological Survey from 2012 to 2023 and for existing gravity measurements compiled from 21 sources. Near
Regional geophysical maps of the Great Basin, USA
Regional geophysical maps of the Great Basin, USA were generated from new and existing sources to support ongoing efforts to characterize geothermal resource potential in the western US. These include: (1) a provisional regional gravity grid that was produced from data compiled from multiple sources: data collected by the USGS and Utah Geological Survey under various projects, industry sources, an
Geophysical characterization of geothermal resources on the Umatilla Indian Reservation in northeast Oregon
During the summers of 2017 and 2020, our team collected gravity, ground magnetic (ATV and hiked traverses), paleomagnetic and rock property (density and susceptibility) data on the Umatilla Indian Reservation (UIR) in northeast Oregon to aid in characterizing subsurface stratigraphy using 2D and 3D modeling methods. This data was integrated with conductance surfaces from a 3D magnetotelluic model
Magnetotelluric Data from the Gabbs Valley Region, Nevada, 2020
This data set consists of 59 wideband magnetotelluric (MT) stations collected by the U.S. Geological Survey in July and August of 2020 as part of a 1-year project funded by the Energy Resources Program of the U.S. Geological Survey to demonstrate full crustal control on geothermal systems in the Great Basin. Each station had 5 components, 3 orthogonal magnetic induction coils and 2 horizontal orth
USGS Contributions to the Nevada Geothermal Machine Learning Project (DE-FOA-0001956): Geophysics Data
This package contains gravity and magnetics data and products generated for the Nevada Machine Learning (NVML) project (DE-FOA-0001956). Data products contained in this release consist of grids and vector data. Grids include: primary anomaly maps (isostatic and PSG), match-filtered maps, horizontal gradient (HG) maps, confidence maps, and maps showing density of specific key structural features. T
USGS Contributions to the Nevada Geothermal Machine Learning Project (DE-FOA-0001956): Geophysics, Heat Flow, Slip and Dilation Tendency
This package contains USGS data contributions to the DOE-funded Nevada Geothermal Machine Learning Project (DE-FOA-0001956), with the objective of developing a machine learning approach to identifying new geothermal systems in the Great Basin. This package contains three major data products (geophysics, heat flow, and fault dilation and slip tendencies) that cover a large portion of northern Nevad
Clayton Valley Geophysical Data Release
This data release contains data from various geophysical studies performed around the larger Clayton Valley, NV area. These include reprocessed existing gravity data compiled from multiple sources, as well as newly collected gravity and ground magnetic data, and bulk densities and magnetic susceptibilities from outcrop, hand samples, and drill cores.
Science and Products
Development of small uncrewed aerial systems for multi-instrument geophysical data acquisition in active geothermal systems
Small Uncrewed Aerial Systems (sUAS) serve as critical platforms for geophysical data collection at an intermediate scale between lower resolution, regional datasets collected via crewed aerial surveys, and high resolution, but spatially sparse sampling of ground-based data collection methods. Advances in sensor design and sUAS capabilities have led to rapid advances in the amount and type of geop
Authors
Grant Harold Rea-Downing, Claire Bouligand, Jonathan M.G. Glen, Tait E. Earney, Laurie A. Zielinski, Jacob Elliott Anderson, Peter J. Kelly
UAS-based tools for mapping and monitoring hydrothermal systems: An example from Mammoth Lakes, California
Unoccupied Aerial Systems (UAS) can accommodate a variety of tools for mapping and monitoring hydrothermal systems (e.g., magnetic, gas, photogrammetry, and thermal infrared [TIR]). These platforms offer increased speed, coverage area, and uniformity compared to ground-based measurements, as well as lower flight height – and therefore higher resolution – than occupied aircraft.
We adapted a suite
Authors
Laurie Antoinette Zielinski, Jonathan M.G. Glen, Tait E. Earney, Grant H. Rea-Downing, R. Greg Vaughan, Peter J. Kelly, Gordon H. Keller, Branden James Dean, William Schermerhorn
Gravity, density, and magnetic property measurements of the Sierra Nevada, California and Nevada
This data release presents point data associated with the geologic and geophysical maps of the Sierra Nevada Digital Earth Science Atlas led by the California Geological Survey and U.S. Geological Survey. Data include principal fact information for new gravity measurements collected by the U.S. Geological Survey from 2012 to 2023 and for existing gravity measurements compiled from 21 sources. Near
Regional geophysical maps of the Great Basin, USA
Regional geophysical maps of the Great Basin, USA were generated from new and existing sources to support ongoing efforts to characterize geothermal resource potential in the western US. These include: (1) a provisional regional gravity grid that was produced from data compiled from multiple sources: data collected by the USGS and Utah Geological Survey under various projects, industry sources, an
Geophysical characterization of geothermal resources on the Umatilla Indian Reservation in northeast Oregon
During the summers of 2017 and 2020, our team collected gravity, ground magnetic (ATV and hiked traverses), paleomagnetic and rock property (density and susceptibility) data on the Umatilla Indian Reservation (UIR) in northeast Oregon to aid in characterizing subsurface stratigraphy using 2D and 3D modeling methods. This data was integrated with conductance surfaces from a 3D magnetotelluic model
Magnetotelluric Data from the Gabbs Valley Region, Nevada, 2020
This data set consists of 59 wideband magnetotelluric (MT) stations collected by the U.S. Geological Survey in July and August of 2020 as part of a 1-year project funded by the Energy Resources Program of the U.S. Geological Survey to demonstrate full crustal control on geothermal systems in the Great Basin. Each station had 5 components, 3 orthogonal magnetic induction coils and 2 horizontal orth
USGS Contributions to the Nevada Geothermal Machine Learning Project (DE-FOA-0001956): Geophysics Data
This package contains gravity and magnetics data and products generated for the Nevada Machine Learning (NVML) project (DE-FOA-0001956). Data products contained in this release consist of grids and vector data. Grids include: primary anomaly maps (isostatic and PSG), match-filtered maps, horizontal gradient (HG) maps, confidence maps, and maps showing density of specific key structural features. T
USGS Contributions to the Nevada Geothermal Machine Learning Project (DE-FOA-0001956): Geophysics, Heat Flow, Slip and Dilation Tendency
This package contains USGS data contributions to the DOE-funded Nevada Geothermal Machine Learning Project (DE-FOA-0001956), with the objective of developing a machine learning approach to identifying new geothermal systems in the Great Basin. This package contains three major data products (geophysics, heat flow, and fault dilation and slip tendencies) that cover a large portion of northern Nevad
Clayton Valley Geophysical Data Release
This data release contains data from various geophysical studies performed around the larger Clayton Valley, NV area. These include reprocessed existing gravity data compiled from multiple sources, as well as newly collected gravity and ground magnetic data, and bulk densities and magnetic susceptibilities from outcrop, hand samples, and drill cores.