Core Science Systems

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The Core Science Systems (CSS) Mission Area leads the USGS’s mission as the civilian mapping agency for the Nation—a legacy since the establishment of the USGS in 1879. CSS conducts detailed surveys and distributes the resulting high quality and highly accurate topographic, geologic, hydrographic, and biogeographic maps and data. Mapping accuracy enabled by cutting-edge technologies allows precise planning for critical mineral assessments; energy development; transportation and pipeline infrastructure projects; urban planning and development; flood prediction at regional, local, and neighborhood scales; emergency response; and hazard mitigation. CSS builds on the core strengths of the USGS in characterizing and understanding complex Earth systems.

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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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Core Science Analytics, Synthesis, and Libraries

Core Science Analytics, Synthesis, and Libraries

The USGS Science Data Catalog, supported by CSAS&L, 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: August 10, 2018

3D Elevation Program (3DEP) Webinar Set

Registration is now open for the 3D Elevation Program (3DEP) FY19 Broad Agency Announcement (BAA) Instructional Webinar.

Date published: August 8, 2018

New Elevation Map Service Available From the USGS 3D Elevation Program

The USGS 3D Elevation Program (3DEP) announces the availability of a new dynamic map service.

Date published: August 7, 2018

Searching for Great Geologic Maps

The USGS Announces Final Call for Abstracts: Best Student Geological Map Competition at GSA Indianapolis.

Publications

Year Published: 2018

Classifying physiographic regimes on terrain and hydrologic factors for adaptive generalization of stream networks

Automated generalization software must accommodate multi-scale representations of hydrographic networks across a variety of geographic landscapes, because scale-related hydrography differences are known to vary in different physical conditions. While generalization algorithms have been tailored to specific regions and landscape conditions by...

Stanislawski, Larry V.; Finn, Michael P.; Buttenfield, Barbara P.
Lawrence V. Stanislawski, Michael P. Finn & Barbara P. Buttenfield (2018): Classifying physiographic regimes on terrain and hydrologic factors for adaptive generalization of stream networks, International Journal of Cartography, DOI: 10.1080/23729333.2018.1443759

Year Published: 2018

A comparison of synthetic flowpaths derived from light detection and ranging topobathymetric data and National Hydrography Dataset High Resolution Flowlines

Bathymetric and topobathymetric light detection and ranging (lidar) digital elevation models created for the Delaware River were provided to the National Geospatial Program and used to evaluate synthetic flowpath extraction from bathymetric/topobathymetric lidar survey data as a data source for improving the density, distribution, and connectivity...

Miller-Corbett, Cynthia
Miller-Corbett, C., 2018, A comparison of synthetic flowpaths derived from light detection and ranging topobathymetric data and National Hydrography Dataset high resolution flowlines: U.S. Geological Survey Open-File Report 2018–1058, 29 p., https://doi.org/10.3133/ofr20181058.

Year Published: 2018

Modeling and simulation of emergent behavior in transportation infrastructure restoration

The objective of this chapter is to create a methodology to model the emergent behavior during a disruption in the transportation system and that calculates economic losses due to such a disruption, and to understand how an extreme event affects the road transportation network. The chapter discusses a system dynamics approach which is used to...

Ojha, Akhilesh; Corns, Steven; Shoberg, Thomas G.; Qin, Ruwen; Long, Suzanna K.
Ojha, A., Corns, S., Shoberg, T., Qin, R., and Long, S., 2018. Modeling and Simulation of Emergent Behavior in Transportation Infrastructure Restoration, in Mittal, S., Diallo, S., and Tolk, A., eds., Emergent Behavior in Complex Systems Engineering: A Modeling Simulation Approach. Chapter 15. 349-368.