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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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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: Anderson County, Archer County, Chambers County, Clay County, Collin 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) 1285 Aquilla TX (published 20220820) Shapefile USGS Topo Map Vector Data (Vector) 4609 Blum TX (published 20220823) Shapefile USGS Topo Map Vector Data (Vector) 24675 Lake Thibadeau SW, Montana 20200721 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 7898 Centennial Mountain, Montana 20200721 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 41451 Simpson, Montana 20200722 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 5060 Bowery Peak, Montana 20200722 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 20541 Hingham, Montana 20200721 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 70719 Lloyd NW, Montana 20200721 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 71060 Ninemile Coulee East, Montana 20200721 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 49023 Wild Horse Lake West, Montana 20200722 for 7.5 x 7.5 minute Shapefile USGS NED 1/3 arc-second Contours for Havre W, Montana 20200826 1 X 1 degree Shapefile USGS US Topo 7.5-minute map for Mertens, TX 2019 USGS US Topo 7.5-minute map for Abbott, TX 2019 USGS NED 1/3 arc-second Contours for Waco W, Texas 20220819 1 x 1 degree Shapefile USGS US Topo 7.5-minute map for Blanton, TX 2019 USGS National Hydrography Dataset Plus High Resolution (NHDPlus HR) for 4-digit Hydrologic Unit - 1203 (published 20180813) USGS US Topo 7.5-minute map for Big John Butte, MT 2020 US Topo 7.5-minute map for Blum, TX US Topo 7.5-minute map for Grandview, TX USGS Topo Map Vector Data (Vector) 70794 Malone TX (published 20220822) GeoPackage USGS Topo Map Vector Data (Vector) 1285 Aquilla TX (published 20220820) Shapefile USGS Topo Map Vector Data (Vector) 4609 Blum TX (published 20220823) Shapefile USGS Topo Map Vector Data (Vector) 24675 Lake Thibadeau SW, Montana 20200721 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 7898 Centennial Mountain, Montana 20200721 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 41451 Simpson, Montana 20200722 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 5060 Bowery Peak, Montana 20200722 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 20541 Hingham, Montana 20200721 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 70719 Lloyd NW, Montana 20200721 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 71060 Ninemile Coulee East, Montana 20200721 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 49023 Wild Horse Lake West, Montana 20200722 for 7.5 x 7.5 minute Shapefile USGS US Topo 7.5-minute map for Mertens, TX 2019 USGS US Topo 7.5-minute map for Abbott, TX 2019 USGS US Topo 7.5-minute map for Blanton, TX 2019 USGS US Topo 7.5-minute map for Big John Butte, MT 2020 US Topo 7.5-minute map for Blum, TX US Topo 7.5-minute map for Grandview, TX USGS Topo Map Vector Data (Vector) 70794 Malone TX (published 20220822) GeoPackage USGS NED 1/3 arc-second Contours for Havre W, Montana 20200826 1 X 1 degree Shapefile USGS NED 1/3 arc-second Contours for Waco W, Texas 20220819 1 x 1 degree Shapefile USGS National Hydrography Dataset Plus High Resolution (NHDPlus HR) for 4-digit Hydrologic Unit - 1203 (published 20180813)