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These vector contour lines are derived from the 3D Elevation Program using automated and semi-automated processes. They were created to support 1:24,000-scale CONUS and Hawaii, 1:25,000-scale Alaska, and 1:20,000-scale Puerto Rico / US Virgin Island topographic map products, but are also published in this GIS vector format. Contour intervals are assigned by 7.5-minute quadrangle, so this vector dataset is not visually seamless across quadrangle boundaries. The vector lines have elevation attributes (in feet above mean sea level on NAVD88), but this dataset does not carry line symbols or annotation.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This digital dataset defines the spring 1961 water-table altitude for the California's Central Valley. It was used to initiate the water-level altitudes for the upper zones of the transient hydrologic model of the Central Valley flow system. The Central Valley encompasses an approximate 50,000 square-kilometer region of California. The complex hydrologic system of the Central Valley is simulated using the USGS numerical modeling...
Tags: Alameda County, Amador County, Butte County, CV-RASA, Calaveras County, All tags...
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This digital dataset defines the model grid and altitudes of the top of the 10 model layers and base of the model simulated in the transient hydrologic model of the Central Valley flow system. The Central Valley encompasses an approximate 50,000 square-kilometer region of California. The complex hydrologic system of the Central Valley is simulated using the USGS numerical modeling code MODFLOW-FMP (Schmid and others, 2006), which...
Tags: Alameda County, Amador County, Butte County, CV-RASA, Calaveras County, All tags...
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This digital dataset contains the surface-water network for the Central Valley Hydrologic Model (CVHM). The Central Valley encompasses an approximate 50,000-square-kilometer region of California. The complex hydrologic system of the Central Valley is simulated using the USGS numerical modeling code MODFLOW-FMP (Schmid and others, 2006). This simulation is referred to here as the CVHM (Faunt, 2009). Utilizing MODFLOW-FMP, the CVHM...
Tags: Alameda County, Amador County, Butte County, CV-RASA, Calaveras County, All tags...


map background search result map search result map USGS Topo Map Vector Data (Vector) 33395 Oregon House, California 20220510 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 8471 Chicago Park, California 20220510 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 41285 Sierra City, California 20220510 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 14318 Emmet, Arkansas 20200915 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 36373 Prescott East, Arkansas 20200915 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 37237 Reader, Arkansas 20200915 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 45760 Troy, Arkansas 20200915 for 7.5 x 7.5 minute FileGDB 10.1 USGS NED 1/3 arc-second Contours for El Dorado W, Arkansas 20201002 1 X 1 degree FileGDB 10.1 USGS US Topo 7.5-minute map for Cisco Grove, CA 2018 USGS US Topo 7.5-minute map for French Corral, CA 2018 USGS US Topo 7.5-minute map for Smartsville, CA 2018 USGS US Topo 7.5-minute map for Laneburg, AR 2020 USGS US Topo 7.5-minute map for Waterloo, AR 2020 US Topo 7.5-minute map for Graniteville, CA US Topo 7.5-minute map for Boca, CA,NV US Topo 7.5-minute map for Truckee, CA US Topo 7.5-minute map for Camp Far West, CA Spring 1961 water table of California's Central Valley (from Williamson and others, 1989) Surface-Water Network for the Central Valley Hydrologic Model (CVHM) Altitudes of the top of model layers in the Central Valley Hydrologic Model (CVHM) USGS Topo Map Vector Data (Vector) 33395 Oregon House, California 20220510 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 8471 Chicago Park, California 20220510 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 41285 Sierra City, California 20220510 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 14318 Emmet, Arkansas 20200915 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 36373 Prescott East, Arkansas 20200915 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 37237 Reader, Arkansas 20200915 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 45760 Troy, Arkansas 20200915 for 7.5 x 7.5 minute FileGDB 10.1 USGS US Topo 7.5-minute map for Cisco Grove, CA 2018 USGS US Topo 7.5-minute map for French Corral, CA 2018 USGS US Topo 7.5-minute map for Smartsville, CA 2018 USGS US Topo 7.5-minute map for Laneburg, AR 2020 USGS US Topo 7.5-minute map for Waterloo, AR 2020 US Topo 7.5-minute map for Graniteville, CA US Topo 7.5-minute map for Boca, CA,NV US Topo 7.5-minute map for Truckee, CA US Topo 7.5-minute map for Camp Far West, CA USGS NED 1/3 arc-second Contours for El Dorado W, Arkansas 20201002 1 X 1 degree FileGDB 10.1 Surface-Water Network for the Central Valley Hydrologic Model (CVHM) Spring 1961 water table of California's Central Valley (from Williamson and others, 1989) Altitudes of the top of model layers in the Central Valley Hydrologic Model (CVHM)