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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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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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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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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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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: AL, Administrative watershed units, Administrative watershed units, Alabama, Area of Complex Channels, All tags...
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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, Area of Complex Channels, Area to be submerged, All tags...
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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: Administrative watershed units, Administrative watershed units, Area of Complex Channels, Area to be submerged, Basin, All tags...
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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.
thumbnail
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.
thumbnail
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 Combined Vector for Oak Cliff, Texas 20160524 7.5 x 7.5 minute Shapefile USGS Combined Vector for Arlington, Texas 20160525 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Carrollton, Texas 20160524 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 49842 Woodward, Iowa 20190321 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 34106 Panther, Iowa 20190321 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 34807 Perry, Iowa 20190321 for 7.5 x 7.5 minute Shapefile USGS US Topo 7.5-minute map for Windyville, MO 2017 USGS National Hydrography Dataset Best Resolution (NHD) for Hydrologic Unit (HU) 8 - 03150201 (published 20190707) USGS National Hydrography Dataset Best Resolution (NHD) for Hydrologic Unit (HU) 8 - 08040201 (published 20190710) USGS National Hydrography Dataset Best Resolution (NHD) for Hydrologic Unit (HU) 8 - 12030103 (published 20190706) USGS NED 1/3 arc-second Contours for Des Moines W, Iowa 20181126 1 X 1 degree FileGDB 10.1 USGS NED 1/3 arc-second Contours for Omaha E, Iowa 20181126 1 X 1 degree FileGDB 10.1 USGS US Topo 7.5-minute map for Central Mills, AL 2018 USGS US Topo 7.5-minute map for Tilden, AL 2018 USGS US Topo 7.5-minute map for Stuart North, IA 2018 USGS US Topo 7.5-minute map for Duncanville, TX 2019 USGS US Topo 7.5-minute map for Lancaster, TX 2019 USGS US Topo 7.5-minute map for Mesquite, TX 2019 USGS NED 1/3 arc-second Contours for Dallas W, Texas 20190418 1 X 1 degree Shapefile USGS US Topo 7.5-minute map for Britton, TX 2019 USGS Combined Vector for Oak Cliff, Texas 20160524 7.5 x 7.5 minute Shapefile USGS Combined Vector for Arlington, Texas 20160525 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Carrollton, Texas 20160524 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 49842 Woodward, Iowa 20190321 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 34106 Panther, Iowa 20190321 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 34807 Perry, Iowa 20190321 for 7.5 x 7.5 minute Shapefile USGS US Topo 7.5-minute map for Windyville, MO 2017 USGS US Topo 7.5-minute map for Central Mills, AL 2018 USGS US Topo 7.5-minute map for Tilden, AL 2018 USGS US Topo 7.5-minute map for Stuart North, IA 2018 USGS US Topo 7.5-minute map for Duncanville, TX 2019 USGS US Topo 7.5-minute map for Lancaster, TX 2019 USGS US Topo 7.5-minute map for Mesquite, TX 2019 USGS US Topo 7.5-minute map for Britton, TX 2019 USGS National Hydrography Dataset Best Resolution (NHD) for Hydrologic Unit (HU) 8 - 12030103 (published 20190706) USGS National Hydrography Dataset Best Resolution (NHD) for Hydrologic Unit (HU) 8 - 08040201 (published 20190710) USGS NED 1/3 arc-second Contours for Des Moines W, Iowa 20181126 1 X 1 degree FileGDB 10.1 USGS NED 1/3 arc-second Contours for Omaha E, Iowa 20181126 1 X 1 degree FileGDB 10.1 USGS NED 1/3 arc-second Contours for Dallas W, Texas 20190418 1 X 1 degree Shapefile USGS National Hydrography Dataset Best Resolution (NHD) for Hydrologic Unit (HU) 8 - 03150201 (published 20190707)