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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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A table summarizing the irrigated acreage by crop type and irrigation system was compiled for January to December 2019 for Sumter County, Florida. The irrigated acreage totals were derived from analyses of aerial imagery and data were field verified in 2019. In addition, the table provides acreage totals by crop type published by the U.S. Department of Commerce for 1982 and the U.S. Department of Agriculture for years between 1987 and 2017.
Airborne magnetic gradiometry data are provided here as part of the data release, "Airborne magnetic and radiometric survey, Columbia, South Carolina and surrounds, 2020." This website includes the processed aeromagnetic data provided in an ascii .csv file and a geoTIFF image showing the magnetic field intensity. The contractor report is available on the parent page. These data were collected as part of a high-resolution airborne magnetic and radiometric survey over Columbia, South Carolina and the surrounding region immediately northwest of an airborne magnetic and radiometric survey collected near Charleston, South Carolina in 2019 (Shah, 2020). Goals included imaging heavy mineral sands containing titanium,...
Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Aiken County, Bamberg County, Barnwell County, Calhoun County, Clarendon County, All tags...
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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: AL, Alabama, Baldwin County, Bibb County, Blount 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.
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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) 994 Andersonville, Georgia 20200914 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 994 Andersonville, Georgia 20200914 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 4960 Bottsford, Georgia 20200914 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 12774 Drayton, Georgia 20200915 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 27033 Lynchburg, South Carolina 20200828 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 35532 Plains, Georgia 20200912 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 39974 Sardinia, South Carolina 20200828 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 Shapefile USGS Topo Map Vector Data (Vector) 47656 Wateree, South Carolina 20200828 for 7.5 x 7.5 minute FileGDB 10.1 USGS NED 1/3 arc-second Contours for Dothan E, Georgia 20200914 1 X 1 degree Shapefile USGS NED 1/3 arc-second Contours for Georgetown W, South Carolina 20200827 1 X 1 degree Shapefile USGS US Topo 7.5-minute map for Bellamy, AL 2018 USGS US Topo 7.5-minute map for Bay Lake, FL 2018 USGS National Hydrography Dataset Plus High Resolution (NHDPlus HR) for 4-digit Hydrologic Unit - 0316 (published 20180813) Reported and inventoried crop and irrigated acreage in Sumter County, Florida, 1982-2019 USGS US Topo 7.5-minute map for Pinewood, SC 2020 USGS US Topo 7.5-minute map for Geiger, AL,MS 2020 USGS US Topo 7.5-minute map for Bay Lake, FL 2021 USGS US Topo 7.5-minute map for Branchborough, FL 2021 Airborne magnetic flight line data, Columbia, South Carolina and surrounds, 2020 USGS Topo Map Vector Data (Vector) 994 Andersonville, Georgia 20200914 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 994 Andersonville, Georgia 20200914 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 4960 Bottsford, Georgia 20200914 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 12774 Drayton, Georgia 20200915 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 27033 Lynchburg, South Carolina 20200828 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 35532 Plains, Georgia 20200912 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 39974 Sardinia, South Carolina 20200828 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 Shapefile USGS Topo Map Vector Data (Vector) 47656 Wateree, South Carolina 20200828 for 7.5 x 7.5 minute FileGDB 10.1 USGS US Topo 7.5-minute map for Bellamy, AL 2018 USGS US Topo 7.5-minute map for Bay Lake, FL 2018 USGS US Topo 7.5-minute map for Pinewood, SC 2020 USGS US Topo 7.5-minute map for Geiger, AL,MS 2020 USGS US Topo 7.5-minute map for Bay Lake, FL 2021 USGS US Topo 7.5-minute map for Branchborough, FL 2021 Reported and inventoried crop and irrigated acreage in Sumter County, Florida, 1982-2019 USGS NED 1/3 arc-second Contours for Dothan E, Georgia 20200914 1 X 1 degree Shapefile USGS NED 1/3 arc-second Contours for Georgetown W, South Carolina 20200827 1 X 1 degree Shapefile Airborne magnetic flight line data, Columbia, South Carolina and surrounds, 2020 USGS National Hydrography Dataset Plus High Resolution (NHDPlus HR) for 4-digit Hydrologic Unit - 0316 (published 20180813)