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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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News

Date published: November 21, 2019

Mapping Challenge Update (11/21/19): City / Town Hall Structures in OH and WV

Here is the weekly update for this challenge - it's exciting to see more counties filling in! Keep an eye out for another article on city / town halls in this month's newsletter.

Date published: November 21, 2019

Mapping Challenge Update (11/21/19): City / Town Hall Structures in MI

City / town halls are coming in for Michigan as well!  Keep an eye out for another article on city / town halls in this month's newsletter.

Date published: November 14, 2019

Mapping Challenge Update (11/14/19): City / Town Hall Structures in MI

Here is the weekly update for this challenge!

Publications

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Year Published: 2019

A spatio-contextual probabilistic model for extracting linear features in hilly terrain from high-resolution DEM data

This paper introduces our research in developing a probabilistic model to extract linear terrain features from high resolution DEM (Digital Elevation Model) data. The proposed model takes full advantage of spatio-contextual information to characterize terrain changes. It first derives a quantifiable measure of spatio-contextual patterns of linear...

Zhou, Xiran; Li, Wenwen; Arundel, Samantha

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Year Published: 2019

The effect of resolution on terrain feature extraction

Recent increase in the production of high-resolution digital elevation models (DEMs) from lidar data has led to interest in their use for terrain mapping. Although the impact of different resolutions has been studied relative to terrain characteristics like roughness, slope and curvature, its relationship to the extraction of terrain features...

Arundel, Samantha; Li, Wenwen; Zhou, Xiran

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Year Published: 2019

Semantically supported linked data mapping

Semantic technology based on the Resource Description Framework (RDF) modeling environment has introduced new data management capabilities that can lead to innovative cartographic techniques. This report describes research toward more semantically expressive linked geospatial data mapping, topics of research, and an avenue for further...

Varanka, Dalia E.