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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: July 29, 2021

FINISHED!! TNMCorps Mapping Challenge for City / Town Halls in AK

This challenge is now complete! Thank you to everyone who contributed!

Date published: July 29, 2021

FINISHED!! TNMCorps Mapping Challenge for Fire Stations in MS

This challenge is now complete! Thank you to everyone who contributed!

Date published: July 28, 2021

NEW TNMCorps Mapping Challenge for Schools with No Edit History in CO!

With back-to-school season upon us, TNMCorps Mapping Challenges shift to the High Plains and Rocky Mountains as we launch a new challenge for schools with no edit history in Colorado.   

Publications

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Year Published: 2021

Watersheds and drainage networks

This topic is an overview of basic concepts about how the distribution of water on the Earth, with specific regard to watersheds, stream and river networks, and waterbodies are represented by geographic data. The flowing and non-flowing bodies of water on the earth’s surface vary in extent largely due to seasonal and annual changes in climate...

Stanislawski, Larry; Shavers, Ethan J.

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Year Published: 2021

Spatial data reduction through element -of-interest (EOI) extraction

Any large, multifaceted data collection that is challenging to handle with traditional management practices can be branded ‘Big Data.’ Any big data containing geo-referenced attributes can be considered big geospatial data. The increased proliferation of big geospatial data is currently reforming the geospatial industry into a data-driven...

Arundel, Samantha; Usery, E. Lynn

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Year Published: 2021

GIS object data properties

Data properties are characteristics of GIS attribute systems and values whose design and format impacts analytical and computational processing.  Geospatial data are expressed at conceptual, logical, and physical levels of database abstraction intended to represent geographical information. The appropriate design of attribute systems and...

Varanka, Dalia E.