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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: June 21, 2021

News Feature: The complex case of Chesapeake Bay restoration

Proceedings of the National Academy of Sciences of the United States of America — by John Carey — June 16, 2021

Date published: June 21, 2021

Landsat Update June 2021

Landsat Updates are prepared periodically and distributed electronically to provide information about Landsat activities and related topics of interest.

Date published: June 18, 2021

Land Use Models from EROS Offer Insight, Management Guidance for Delaware River Basin

In the mid-1960s, the city of Philadelphia faced a potential public health crisis.

Publications

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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.

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Year Published: 2021

Drought stress and hurricane defoliation influence mountain clouds and moisture recycling in a tropical forest

Mountain ranges generate clouds, precipitation, and perennial streamflow for water supplies, but the role of forest cover in mountain hydrometeorology and cloud formation is not well understood. In the Luquillo Experimental Forest of Puerto Rico, mountains are immersed in clouds nightly, providing a steady precipitation source to support the...

Scholl, Martha A.; Bassiouni, Maoya; Torres-Sanchez, Angel J.