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Core Science Systems Mission Area

USGS CSS serves as the primary national civilian mapping agency, including topographic and geologic mapping for Federal and State requirements, national geospatial coordination, satellite operations and remote sensing. Our products and data are necessary to understand, monitor, and detect changes that affect the Nation’s natural and agricultural resources, the economy, public safety, and security.

News

Mapping Mercury in San Francisco Bay

Mapping Mercury in San Francisco Bay

The Feasibility of Using Lidar-Derived Digital Elevation Models for Gravity Data Reduction

The Feasibility of Using Lidar-Derived Digital Elevation Models for Gravity Data Reduction

Protecting Protected Land from Pesticides

Protecting Protected Land from Pesticides

Publications

Lead exposure in waterfowl before contoxic shot requirements: A nationwide study, 1983−1986

Before implementing nontoxic shot requirements for hunting waterfowl and American coots Fulica americana in the United States in 1991, the U.S. Fish and Wildlife Service monitored lead poisoning in waterfowl on federal and state wildlife hunting areas during 1983-1986. Federal and state collaborators collected gizzards and livers from 9,029 hunter-killed waterfowl (10 species of dabbling...
Authors
J. Christian Franson, Christine M. Bunck

ECCOE Landsat quarterly Calibration and Validation report—Quarter 2, 2024

Executive Summary The U.S. Geological Survey Earth Resources Observation and Science Calibration and Validation (Cal/Val) Center of Excellence (ECCOE) focuses on improving the accuracy, precision, calibration, and product quality of remote-sensing data, leveraging years of multiscale optical system geometric and radiometric calibration and characterization experience. The ECCOE Landsat...
Authors
Md Obaidul Haque, Md Nahid Hasan, Ashish Shrestha, Rajagopalan Rengarajan, Mark Lubke, Jerad Shaw, Kathryn Lynn Ruslander, Esad Micijevic, Mike Choate, Cody Anderson, Jeff Clauson, Kurt Thome, Ed Kaita, Raviv Levy, Jeff Miller, Leibo Ding

Transfer learning with convolutional neural networks for hydrological streamline delineation

Hydrological streamline delineation is critical for effective environmental management, influencing agriculture sustainability, river dynamics, watershed planning, and more. This study develops a novel approach to combining transfer learning with convolutional neural networks that capitalize on image-based pre-trained models to improve the accuracy and transferability of streamline...
Authors
Nattapon Jaroenchai, Shaowen Wang, Larry V. Stanislawski, Ethan J. Shavers, Zhe Jiang, Vasit Sagan, E. Lynn Usery

Science

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Eyes on Earth Episode 134 – Data Accuracy: The Calibration and Validation of Landsat

Researchers and other satellite programs rely on the scientifically correct data from Landsat—every pixel and every spectral band that is measured.
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Eyes on Earth Episode 133 – Vietnam War Bomb Craters

No longer used for spying, declassified spy satellite imagery is finding fascinating new uses.
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Eyes on Earth Episode 132 – Moving Forward with AI at EROS

Artificial intelligence (AI) is helping to make the science work at EROS better and more efficient, as we continue to develop valuable data products.
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Eyes on Earth Episode 132 – Moving Forward with AI at EROS

Artificial intelligence (AI) is helping to make the science work at EROS better and more efficient, as we continue to develop valuable data products.
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