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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: Anne Arundel County, Baltimore County, Baltimore County, Calvert County, Caroline County, All tags...
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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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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.
thumbnail
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.
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.
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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) 40053 Savage, Maryland 20170222 for 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Greentown, Indiana 20160712 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Luther, Texas 20160524 7.5 x 7.5 minute Shapefile USGS Combined Vector for Point Isabel, Indiana 20160712 7.5 x 7.5 minute Shapefile USGS Combined Vector for Ackerly, Texas 20160524 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Big Spring North, Texas 20160525 7.5 x 7.5 minute Shapefile USGS Combined Vector for Elbow, Texas 20160525 7.5 x 7.5 minute Shapefile USGS Combined Vector for Hayrick Mountain, Texas 20160525 7.5 x 7.5 minute Shapefile USGS Combined Vector for Knott SW, Texas 20160525 7.5 x 7.5 minute Shapefile USGS Combined Vector for Lucian Wells Ranch, Texas 20160525 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Ira SW, Texas 20160526 7.5 x 7.5 minute Shapefile USGS Combined Vector for Vincent, Texas 20160526 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 26734 Lourdes, Iowa 20181203 for 7.5 x 7.5 minute FileGDB 10.1 USGS US Topo 7.5-minute map for Burton, MO 2017 USGS US Topo 7.5-minute map for Franklin, MO 2017 USGS US Topo 7.5-minute map for Harrisburg, MO 2017 USGS US Topo 7.5-minute map for Hilldale, MO 2017 USGS US Topo 7.5-minute map for Wolbach NE, NE 2017 USGS National Hydrography Dataset Plus High Resolution (NHDPlus HR) for 4-digit Hydrologic Unit - 0206 (published 20180813) USGS US Topo 7.5-minute map for Jerico, IA 2018 USGS Topo Map Vector Data (Vector) 40053 Savage, Maryland 20170222 for 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Greentown, Indiana 20160712 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Luther, Texas 20160524 7.5 x 7.5 minute Shapefile USGS Combined Vector for Point Isabel, Indiana 20160712 7.5 x 7.5 minute Shapefile USGS Combined Vector for Ackerly, Texas 20160524 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Big Spring North, Texas 20160525 7.5 x 7.5 minute Shapefile USGS Combined Vector for Elbow, Texas 20160525 7.5 x 7.5 minute Shapefile USGS Combined Vector for Hayrick Mountain, Texas 20160525 7.5 x 7.5 minute Shapefile USGS Combined Vector for Knott SW, Texas 20160525 7.5 x 7.5 minute Shapefile USGS Combined Vector for Lucian Wells Ranch, Texas 20160525 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Ira SW, Texas 20160526 7.5 x 7.5 minute Shapefile USGS Combined Vector for Vincent, Texas 20160526 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 26734 Lourdes, Iowa 20181203 for 7.5 x 7.5 minute FileGDB 10.1 USGS US Topo 7.5-minute map for Burton, MO 2017 USGS US Topo 7.5-minute map for Franklin, MO 2017 USGS US Topo 7.5-minute map for Harrisburg, MO 2017 USGS US Topo 7.5-minute map for Hilldale, MO 2017 USGS US Topo 7.5-minute map for Wolbach NE, NE 2017 USGS US Topo 7.5-minute map for Jerico, IA 2018 USGS National Hydrography Dataset Plus High Resolution (NHDPlus HR) for 4-digit Hydrologic Unit - 0206 (published 20180813)