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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 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: Archer County, Baylor County, Beckham County, Briscoe County, Bryan County, 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, Barnes County, 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.
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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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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.


map background search result map search result map USGS Topo Map Vector Data (Vector) 12845 Dry Creek SE, Texas 20190723 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 24745 Laketon, Texas 20190724 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 35032 Pickett Ranch Creek, Texas 20190724 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 47575 Washburn Arroyo, Texas 20190724 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 4711 Boisberg, Minnesota 20190903 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 3863 Big Stone Lake West, Minnesota 20190904 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 71134 Ortonville, Minnesota 20190903 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 70601 La Mars, North Dakota 20200723 for 7.5 x 7.5 minute FileGDB 10.1 USGS US Topo 7.5-minute map for Corona, SD 2017 USGS US Topo 7.5-minute map for Peever NW, SD 2017 USGS US Topo 7.5-minute map for Whitestone Lake, SD 2017 USGS National Hydrography Dataset Best Resolution (NHD) for Hydrologic Unit (HU) 8 - 10170201 (published 20201204) USGS National Hydrography Dataset Best Resolution (NHD) for Hydrologic Unit (HU) 4 - 0902 (published 20201202) USGS NED 1/3 arc-second Contours for Amarillo E, Texas 20190418 1 X 1 degree Shapefile USGS US Topo 7.5-minute map for Laketon, TX 2019 USGS US Topo 7.5-minute map for Miami, TX 2019 USGS US Topo 7.5-minute map for Pampa NE, TX 2019 USGS US Topo 7.5-minute map for Garden Springs, TX 2019 USGS US Topo 7.5-minute map for Skellytown NE, TX 2019 USGS National Hydrography Dataset Plus High Resolution (NHDPlus HR) for 4-digit Hydrologic Unit - 1113 (published 20180813) USGS Topo Map Vector Data (Vector) 12845 Dry Creek SE, Texas 20190723 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 24745 Laketon, Texas 20190724 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 35032 Pickett Ranch Creek, Texas 20190724 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 47575 Washburn Arroyo, Texas 20190724 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 4711 Boisberg, Minnesota 20190903 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 3863 Big Stone Lake West, Minnesota 20190904 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 71134 Ortonville, Minnesota 20190903 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 70601 La Mars, North Dakota 20200723 for 7.5 x 7.5 minute FileGDB 10.1 USGS US Topo 7.5-minute map for Corona, SD 2017 USGS US Topo 7.5-minute map for Peever NW, SD 2017 USGS US Topo 7.5-minute map for Whitestone Lake, SD 2017 USGS US Topo 7.5-minute map for Laketon, TX 2019 USGS US Topo 7.5-minute map for Miami, TX 2019 USGS US Topo 7.5-minute map for Pampa NE, TX 2019 USGS US Topo 7.5-minute map for Garden Springs, TX 2019 USGS US Topo 7.5-minute map for Skellytown NE, TX 2019 USGS NED 1/3 arc-second Contours for Amarillo E, Texas 20190418 1 X 1 degree Shapefile USGS National Hydrography Dataset Best Resolution (NHD) for Hydrologic Unit (HU) 8 - 10170201 (published 20201204) USGS National Hydrography Dataset Plus High Resolution (NHDPlus HR) for 4-digit Hydrologic Unit - 1113 (published 20180813) USGS National Hydrography Dataset Best Resolution (NHD) for Hydrologic Unit (HU) 4 - 0902 (published 20201202)