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Geosciences and Environmental Change Science Center

Geosciences and Environmental Change Science Center (GECSC) researchers conduct multi-purpose geologic mapping and topical scientific studies to address issues concerning geologic, climatic, ecosystem, and land surface changes; human interactions with the environment; and physical, chemical, and biological characterization of the Earth's surface and upper crust. 

News

New study of bat habitats and wind energy can help energy providers minimize collisions

New study of bat habitats and wind energy can help energy providers minimize collisions

USGS Friday's Findings - July 26, 2024

USGS Friday's Findings - July 26, 2024

Friday's Findings - April 26, 2024

Friday's Findings - April 26, 2024

Publications

Lead isotopes constrain Precambrian crustal architecture, thermal history, and lithospheric foundering in Laurentia

Laurentia (ancestral North America) records nearly 4 billion years of crustal evolution. Here, a newly compiled continental-scale Pb isotopic database is used to evaluate the Precambrian crustal evolution of Laurentia. Pb model ages yield a 2.7 Ga peak, a 2.5–1.8 Ga minimum and 1.8–0.9 Ga continuum. Pb model ages yield thermochronometric data and track crustal growth via arc-related magmatism and
Authors
Ian William Hillenbrand

Three-dimensional geologic framework model of the Rio San Jose groundwater basin and adjacent areas, New Mexico

As part of a U.S. Geological Survey study in cooperation with the Bureau of Reclamation and the Pueblo of Acoma, New Mexico, and the Pueblo of Laguna, New Mexico, a digital three-dimensional geologic framework model was constructed for the Rio San Jose and its surface-water drainage basin in west-central New Mexico. This three-dimensional model defines the altitude, thickness, and extent of 18 geo
Authors
Donald S. Sweetkind, Amy E. Galanter

Classifying plant communities in the North American Coastal Plain with PRISMA spaceborne hyperspectral imagery and the spectral mixture residual

The effort to map terrestrial biodiversity, in recent years limited mostly to the use of broadband multispectral remote sensing at decameter scales, can be greatly enhanced by harnessing hyperspectral imagery. Interpretation of hyperspectral imagery may be aided by the Mixture Residual (MR) spectral preprocessing transformation. MR integrates the benefits of spectral mixture analysis with the abso
Authors
Jennifer A. Rogers, Kevin M. Robertson, Todd Hawbaker, Daniel J. Sousa
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