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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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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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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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The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. NHD data was originally developed at 1:100,000-scale and exists at that scale for the whole country. This high-resolution NHD, generally developed at 1:24,000/1:12,000 scale, adds detail to the original 1:100,000-scale NHD. (Data for Alaska, Puerto Rico and the Virgin Islands was developed at high-resolution, not 1:100,000 scale.) Local resolution NHD is being developed where partners and data exist. The NHD contains reach codes for networked features, flow direction, names, and centerline representations for areal water...
Tags: Abbeville County, Administrative watershed units, Administrative watershed units, Aiken County, Anderson County, All tags...
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The Watershed Boundary Dataset (WBD) is a comprehensive aggregated collection of hydrologic unit data consistent with the national criteria for delineation and resolution. It defines the areal extent of surface water drainage to a point except in coastal or lake front areas where there could be multiple outlets as stated by the "Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD)" "Standard" (https://pubs.usgs.gov/tm/11/a3/). Watershed boundaries are determined solely upon science-based hydrologic principles, not favoring any administrative boundaries or special projects, nor particular program or agency. This dataset represents the hydrologic unit boundaries to the 12-digit (6th level)...
Tags: 10-digit, 12-digit, 14-digit, 16-digit, 2-digit, All tags...
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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.


map background search result map search result map USGS Watershed Boundary Dataset (WBD) for 2-digit Hydrologic Unit - 03 (published 20220609) USGS Topo Map Vector Data (Vector) 6647 Cadwell, Georgia 20200914 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 9214 Clinton, South Carolina 20200828 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 10428 Cow Hell Swamp, Georgia 20200914 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 13216 Dyson, South Carolina 20200828 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 12901 Dublin, Georgia 20200912 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 15412 Five Points, Georgia 20200914 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 26760 Lovett, Georgia 20200914 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 32081 Nicklesville, Georgia 20200912 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 49929 Wrightsville, Georgia 20200912 for 7.5 x 7.5 minute Shapefile USGS National Hydrography Dataset Best Resolution (NHD) for Hydrological Unit (HU) 8 - 03050109 (published 20220605) USGS NED 1/3 arc-second Contours for Greenville E, South Carolina 20200827 1 X 1 degree FileGDB 10.1 USGS NED 1/3 arc-second Contours for Macon E, Georgia 20200914 1 X 1 degree Shapefile USGS NED 1/3 arc-second Contours for Macon W, Georgia 20200914 1 X 1 degree Shapefile USGS NED 1/3 arc-second Contours for Spartanburg W, South Carolina 20200827 1 X 1 degree FileGDB 10.1 USGS US Topo 7.5-minute map for Hickory Tavern, SC 2020 USGS US Topo 7.5-minute map for Waterloo, SC 2020 USGS US Topo 7.5-minute map for Lovett, GA 2020 USGS US Topo 7.5-minute map for McRae NW, GA 2020 USGS US Topo 7.5-minute map for Stuckey Boone Lake, GA 2020 USGS Topo Map Vector Data (Vector) 6647 Cadwell, Georgia 20200914 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 9214 Clinton, South Carolina 20200828 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 10428 Cow Hell Swamp, Georgia 20200914 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 13216 Dyson, South Carolina 20200828 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 12901 Dublin, Georgia 20200912 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 15412 Five Points, Georgia 20200914 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 26760 Lovett, Georgia 20200914 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 32081 Nicklesville, Georgia 20200912 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 49929 Wrightsville, Georgia 20200912 for 7.5 x 7.5 minute Shapefile USGS US Topo 7.5-minute map for Hickory Tavern, SC 2020 USGS US Topo 7.5-minute map for Waterloo, SC 2020 USGS US Topo 7.5-minute map for Lovett, GA 2020 USGS US Topo 7.5-minute map for McRae NW, GA 2020 USGS US Topo 7.5-minute map for Stuckey Boone Lake, GA 2020 USGS NED 1/3 arc-second Contours for Greenville E, South Carolina 20200827 1 X 1 degree FileGDB 10.1 USGS NED 1/3 arc-second Contours for Macon E, Georgia 20200914 1 X 1 degree Shapefile USGS NED 1/3 arc-second Contours for Macon W, Georgia 20200914 1 X 1 degree Shapefile USGS NED 1/3 arc-second Contours for Spartanburg W, South Carolina 20200827 1 X 1 degree FileGDB 10.1 USGS National Hydrography Dataset Best Resolution (NHD) for Hydrological Unit (HU) 8 - 03050109 (published 20220605) USGS Watershed Boundary Dataset (WBD) for 2-digit Hydrologic Unit - 03 (published 20220609)