Due to a lapse in appropriations, the majority of USGS websites may not be up to date and may not reflect current conditions. Websites displaying real-time data, such as Earthquake and Water and information needed for public health and safety will be updated with limited support. Additionally, USGS will not be able to respond to inquiries until appropriations are enacted.  For more information, please see www.doi.gov/shutdown

Core Science Systems


CSS leads USGS’s mission as the civilian mapping agency for the Nation. We conduct detailed surveys and develop high quality, highly accurate topographic, geologic, hydrographic, and biogeographic maps and data. Our maps allow precise planning for critical mineral assessments; energy development; infrastructure projects; urban planning; flood prediction; emergency response; and hazard mitigation.

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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.

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Science Analytics and Synthesis (SAS)

Science Analytics and Synthesis (SAS)

The USGS Science Data Catalog, supported by SAS, provides seamless access to USGS research and monitoring data from across the nation. Users have the ability to search, browse, or use a map-based interface to discover data.

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Date published: December 18, 2018

Editing over the Holidays!

The holidays are always a busy and sometimes stressful time of year: food to cook, houses to clean, trips to plan, gifts to buy, family to coordinate, the list goes on. So we completely understand that editing data for The National Map Corps might not be high on your list of priorities these days. --*Sigh*

Date published: October 31, 2018

Favorite Headstones and Mapping

The National Map Corps encourages and leverages volunteer citizen scientists to update structure data to The National Map. To reward, recognize and motivate these participants, the program awards “virtual” badges for increasing levels of edits and submission.

Date published: October 30, 2018

USGS Topo Base Map Refreshed and Other Updates

The “USGS Topo Base Map” service named “USGS Topo” has been refreshed with new data and design changes. In addition, several of the “Data Availability”, or “Data Index” services have new cloud hosted URLs.


Year Published: 2018

Automated road breaching to enhance extraction of natural drainage networks from elevation models through deep learning

High-resolution (HR) digital elevation models (DEMs), such as those at resolutions of 1 and 3 meters, have increasingly become more widely available, along with lidar point cloud data. In a natural environment, a detailed surface water drainage network can be extracted from a HR DEM using flow-direction and flow-accumulation modeling. However,...

Stanislawski, Larry; Brockmeyer, Tyler; Shavers, Ethan J.

Year Published: 2018

Area-preserving simplification of polygon features

Developing simplified representations of a two-dimensional polyline is an important problem in cartographic data analytics where datasets must be integrated across spatial resolutions. This problem is generally referred to as line simplification, and is increasingly driven by preservation of specific analytic properties such as positional accuracy...

Kronenfeld, Barry J.; Stanislawski, Larry V.; Brockmeyer, Tyler; Buttenfield, Barbara P.

Year Published: 2018

Similarity assessment of linear hydrographic features using high performance computing

This work discusses a current open source implementation of a line similarity assessment workflow to compare elevation-derived drainage lines with the high-resolution National Hydrography Dataset (NHD) surface-water flow network. The process identifies matching and mismatching lines in each dataset to help focus subsequent validation procedures to...

Stanislawski, Larry V.; Wendel, Jeffrey; Shavers, Ethan J.; Li, Ting
Stanislawski, L.V., Li, T., Wendel, J., and Shavers, E., 2018. Similarity assessment of linear hydrographic features using high performance computing. FOSS4G North America. May 14-16, 2018. St. Louis, Missouri.