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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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Layers of geospatial data include contours, boundaries, land cover, hydrography, roads, transportation, geographic names, structures, and other selected map features.
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Layers of geospatial data include contours, boundaries, land cover, hydrography, roads, transportation, geographic names, structures, and other selected map features.
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Layers of geospatial data include contours, boundaries, land cover, hydrography, roads, transportation, geographic names, structures, and other selected map features.
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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: AR, Administrative watershed units, Administrative watershed units, Allen County, Anderson County, All tags...


map background search result map search result map USGS Combined Vector for Kenly East, North Carolina 20160706 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Elm City, North Carolina 20160706 7.5 x 7.5 minute Shapefile USGS Combined Vector for Martha, Tennessee 20160527 7.5 x 7.5 minute Shapefile USGS Combined Vector for Alexandria, Tennessee 20160601 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Bald Mound, Texas 20160525 7.5 x 7.5 minute Shapefile USGS Combined Vector for Elmendorf, Texas 20160525 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Leal, Texas 20160526 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 31565 Neodesha, Kansas 20190327 for 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for New Berlin, Texas 20160526 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Thomas Springs, Texas 20160524 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Vine, Tennessee 20160528 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 46924 Vilas, Kansas 20190328 for 7.5 x 7.5 minute FileGDB 10.1 USGS National Hydrography Dataset Best Resolution (NHD) for Hydrologic Unit (HU) 4 - 1107 (published 20190703) USGS US Topo 7.5-minute map for Fredonia, KS 2018 USGS US Topo 7.5-minute map for Falls City, TX 2019 USGS US Topo 7.5-minute map for La Vernia, TX 2019 USGS NED 1/3 arc-second Contours for Crystal City E, Texas 20190418 1 X 1 degree Shapefile USGS US Topo 7.5-minute map for Bellwood, TN 2019 USGS US Topo 7.5-minute map for Hermitage, TN 2019 USGS US Topo 7.5-minute map for Lebanon, TN 2019 USGS Combined Vector for Kenly East, North Carolina 20160706 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Elm City, North Carolina 20160706 7.5 x 7.5 minute Shapefile USGS Combined Vector for Martha, Tennessee 20160527 7.5 x 7.5 minute Shapefile USGS Combined Vector for Alexandria, Tennessee 20160601 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Bald Mound, Texas 20160525 7.5 x 7.5 minute Shapefile USGS Combined Vector for Elmendorf, Texas 20160525 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Leal, Texas 20160526 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 31565 Neodesha, Kansas 20190327 for 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for New Berlin, Texas 20160526 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Thomas Springs, Texas 20160524 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Vine, Tennessee 20160528 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 46924 Vilas, Kansas 20190328 for 7.5 x 7.5 minute FileGDB 10.1 USGS US Topo 7.5-minute map for Fredonia, KS 2018 USGS US Topo 7.5-minute map for Falls City, TX 2019 USGS US Topo 7.5-minute map for La Vernia, TX 2019 USGS US Topo 7.5-minute map for Bellwood, TN 2019 USGS US Topo 7.5-minute map for Hermitage, TN 2019 USGS US Topo 7.5-minute map for Lebanon, TN 2019 USGS NED 1/3 arc-second Contours for Crystal City E, Texas 20190418 1 X 1 degree Shapefile USGS National Hydrography Dataset Best Resolution (NHD) for Hydrologic Unit (HU) 4 - 1107 (published 20190703)