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
End of an era: Historic Landsat 7 mission takes final images
End of an era: Historic Landsat 7 mission takes final images
Hundreds of Fire Maps Released on Burn Severity Portal
Hundreds of Fire Maps Released on Burn Severity Portal
EROS Interns Gain Experience, Produce Science
EROS Interns Gain Experience, Produce Science
Publications
Automated deep learning-based point cloud classification on USGS 3DEP lidar data using transformer
The goal of the U.S. Geological Survey’s (USGS) 3D Elevation Program (3DEP) is to facilitate the acquisition of nationwide lidar data. Although data meet USGS lidar specifications, some point cloud tiles include noisy and incorrectly classified points. The enhanced accuracy of classified point clouds can improve support for many downstream applications such as hydrologic analysis, urban planning,
Evaluation of classified ground points from National Agriculture Imagery program photogrammetrically derived point clouds
Studies have shown that digital surface models and point clouds generated by the United States Department of Agriculture’s National Agriculture Imagery Program (NAIP) can measure basic forest parameters such as canopy height. However, all measured forest parameters from these studies are evaluated using the differences between NAIP digital surface models (DSMs) and available lidar digital terrain
Assessing the utility of uncrewed aerial system photogrammetrically derived point clouds for land cover classification in the Alaska North Slope
Uncrewed aerial systems (UASs) have been used to collect “pseudo field plot” data in the form of large-scale stereo imagery to supplement and bolster direct field observations to monitor areas in Alaska. These data supplement field data that is difficult to collect in such a vast landscape with a relatively short field season. Dense photogrammetrically derived point clouds are created and are faci
Science
Eyes on Earth Episode 123 – Bathymetry Mapping
A satellite system designed to image land is helping fill in data gaps of underwater topography near shorelines.
Eyes on Earth Episode 122 – EROS Interns, 2024
What can you learn during an internship at the USGS EROS Center? A lot! Several interns talk about their experience working a summer internship at EROS.
Eyes on Earth Episode 121 – Mapping the Australia Coastline
Landsat’s deep archive can reveal where coastlines are changing, even for an entire continent, especially with some clever coding to make it useful to researchers.