Data Science: Converting Data into Actionable Knowledge
Science Analytics and Synthesis (SAS)
Science Analytics and Synthesis (SAS)
National Cooperative Geologic Mapping Program
Determining the geologic framework of areas determined to be vital to the economic social, or scientific welfare of the Nation
Determining the geologic framework of areas determined to be vital to the economic social, or scientific welfare of the Nation
National Geological and Geophysical Data Preservation Program
Preserving geoscience samples for today and future generations
Preserving geoscience samples for today and future generations
USGS Library
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.
National Geospatial Program
National Geospatial Program
The National Geospatial Program is the Federal civilian mapping agency and provides the digital geospatial foundation for the Nation. It engages partners and communities of use to collaboratively produce consistent and accurate topographic map data.
Science Synthesis, Analysis and Research Program
Science Synthesis, Analysis and Research Program
The Science Synthesis Analysis, and Research (SSAR) Program provides analysis and synthesis of scientific data and information, interdisciplinary research to improve understanding of Earth system changes, and preservation of scientific data and samples and library collections.
News
The Geoheritage Sites of the Nation Explorer is LIVE!
The Geoheritage Sites of the Nation Explorer is LIVE!
NLCD: Landscape Info Supporting our Safety and Economic Well-being
NLCD: Landscape Info Supporting our Safety and Economic Well-being
Publications
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...
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...
Earth observation remote sensing tools—Assessing systems, trends, and characteristics
With the ever-increasing number of civil and commercial remote-sensing satellite launches in recent years, the Earth Observation community needs to better understand the quality of new data products as they become available for scientific research purposes.
Science
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.
Eyes on Earth Episode 131 – Using AI in Geospatial Work
Artificial intelligence (AI) is helping to make EROS data products better and more efficient.
Rangeland Condition Monitoring, Assessment, and Projection (RCMAP)
Rangelands cover more than half of the western United States and are important for biodiversity, livestock grazing, recreation, and ecosystem services. Monitoring the condition and trends of rangelands over time is essential for sustainable land management. The Rangeland Condition Monitoring, Assessment, and Projection (RCMAP) project provides annual, 30 m resolution fractional component data to...