Core Science Systems

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The U.S. Geological Survey (USGS) Core Science Systems (CSS) Mission Area builds on the core strengths of the USGS in characterizing and understanding complex Earth and biological systems through research, modeling, mapping, and the production of high-quality data. CSS delivers natural science information to the Nation in support of smart decisionmaking.

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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: July 13, 2018

North American National Mapping Meeting, May 9-10, 2018

Meet and better communicate with North American counterparts to improve mapping efforts across the continent

Date published: July 9, 2018

2018 Doug D. Nebert NSDI Champion of the Year Award

Calling for nominations to honor outstanding accomplishments to the spatial data infrastructure mission of the Department of Interior

Date published: June 26, 2018

The 3D Elevation Program Distributing Lidar Data in LAZ Format

In support of ongoing efforts to provide efficient, cloud ready, open data formats for the use of lidar data, the USGS National Geospatial Program and its associated 3D Elevation Program is transitioning all of its lidar data distribution files to LAZ format by September 30, 2018.

Publications

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.

Year Published: 2018

An open source high-performance solution to extract surface water drainage networks from diverse terrain conditions

This paper describes a workflow for automating the extraction of elevation-derived stream lines using open source tools with parallel computing support and testing the effectiveness of procedures in various terrain conditions within the conterminous United States. Drainage networks are extracted from the US Geological Survey 1/3 arc-second 3D...

Stanislawski, Larry V.; Survila, Kornelijus; Wendel, Jeffrey; Liu, Yan; Buttenfield, Barbara P.
Stanislawski, L.V., Survila, K., Wendel, J., Liu, Y., and Buttenfield, B.P. 2016. An Open Source Solution to High Performance Processing for Extracting Surface Water Drainage Networks from Diverse Terrain Conditions. AutoCarto 2016, September 14-16, Albuquerque, New Mexico