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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 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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The High Resolution National Hydrography Dataset Plus (NHDPlus HR) is an integrated set of geospatial data layers, including the best available National Hydrography Dataset (NHD), the 10-meter 3D Elevation Program Digital Elevation Model (3DEP DEM), and the National Watershed Boundary Dataset (WBD). The NHDPlus HR combines the NHD, 3DEP DEMs, and WBD to create a stream network with linear referencing, feature naming, "value added attributes" (VAAs), elevation-derived catchments, and other features for hydrologic data analysis. The stream network with linear referencing is a system of data relationships applied to hydrographic systems so that one stream reach "flows" into another and "events" can be tied to and traced...
Tags: Alachua County, Baker County, Bradford County, Brevard County, Clay County, 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 Topo Map Vector Data (Vector) 6862 Camden South, South Carolina 20200828 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 13530 Eastover, South Carolina 20200828 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 25333 Leesburg, South Carolina 20200828 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 35532 Plains, Georgia 20200912 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 43775 Sumter East, South Carolina 20200828 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 41819 Smithville East, Georgia 20200914 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 45945 Turbeville, South Carolina 20200828 for 7.5 x 7.5 minute FileGDB 10.1 USGS NED 1/3 arc-second Contours for Florence W, South Carolina 1 x 1 degree (published 20221017) Shapefile USGS NED 1/3 arc-second Contours for Georgetown W, South Carolina 20200827 1 X 1 degree FileGDB 10.1 USGS US Topo 7.5-minute map for Emelle, AL,MS 2018 USGS US Topo 7.5-minute map for Panola, AL,MS 2018 USGS US Topo 7.5-minute map for Demopolis, AL 2018 USGS US Topo 7.5-minute map for McDowell, AL 2018 USGS US Topo 7.5-minute map for Mascotte, FL 2018 USGS National Hydrography Dataset Plus High Resolution (NHDPlus HR) for 4-digit Hydrologic Unit - 0308 (published 20180813) USGS US Topo 7.5-minute map for Dalzell, SC 2020 USGS US Topo 7.5-minute map for Cobb, GA 2020 USGS US Topo 7.5-minute map for Myrtlewood North, AL 2020 USGS US Topo 7.5-minute map for Stokes Ferry, FL 2021 USGS NED 1/3 arc-second Contours for Florence W, South Carolina 1 x 1 degree (published 20221017) GeoPackage USGS Topo Map Vector Data (Vector) 6862 Camden South, South Carolina 20200828 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 13530 Eastover, South Carolina 20200828 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 25333 Leesburg, South Carolina 20200828 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 35532 Plains, Georgia 20200912 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 43775 Sumter East, South Carolina 20200828 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 41819 Smithville East, Georgia 20200914 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 45945 Turbeville, South Carolina 20200828 for 7.5 x 7.5 minute FileGDB 10.1 USGS US Topo 7.5-minute map for Emelle, AL,MS 2018 USGS US Topo 7.5-minute map for Panola, AL,MS 2018 USGS US Topo 7.5-minute map for Demopolis, AL 2018 USGS US Topo 7.5-minute map for McDowell, AL 2018 USGS US Topo 7.5-minute map for Mascotte, FL 2018 USGS US Topo 7.5-minute map for Dalzell, SC 2020 USGS US Topo 7.5-minute map for Cobb, GA 2020 USGS US Topo 7.5-minute map for Myrtlewood North, AL 2020 USGS US Topo 7.5-minute map for Stokes Ferry, FL 2021 USGS NED 1/3 arc-second Contours for Florence W, South Carolina 1 x 1 degree (published 20221017) Shapefile USGS NED 1/3 arc-second Contours for Georgetown W, South Carolina 20200827 1 X 1 degree FileGDB 10.1 USGS NED 1/3 arc-second Contours for Florence W, South Carolina 1 x 1 degree (published 20221017) GeoPackage USGS National Hydrography Dataset Plus High Resolution (NHDPlus HR) for 4-digit Hydrologic Unit - 0308 (published 20180813)