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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 data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. The Umpqua River drains 12,103 square kilometers (4,673 square miles) in southwest Oregon before flowing into the Pacific Ocean at Winchester Bay near the city of Reedsport. In cooperation with the Portland District of the U.S. Army Corps of Engineers (USACE), the USGS evaluated sediment transport and gravel storage along the downstream alluvial reaches of the North and South Umpqua Rivers and the entire mainstem Umpqua River. This...
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. The Umpqua River drains 12,103 square kilometers (4,673 square miles) in southwest Oregon before flowing into the Pacific Ocean at Winchester Bay near the city of Reedsport. In cooperation with the Portland District of the U.S. Army Corps of Engineers (USACE), the USGS evaluated sediment transport and gravel storage along the downstream alluvial reaches of the North and South Umpqua Rivers and the entire mainstem Umpqua River. This...
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. The Umpqua River drains 12,103 square kilometers (4,673 square miles) in southwest Oregon before flowing into the Pacific Ocean at Winchester Bay near the city of Reedsport. In cooperation with the Portland District of the U.S. Army Corps of Engineers (USACE), the USGS evaluated sediment transport and gravel storage along the downstream alluvial reaches of the North and South Umpqua Rivers and the entire mainstem Umpqua River. This...
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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: Adams County, Benton County, Chelan County, Douglas County, Downloadable Data, 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.


map background search result map search result map USGS Topo Map Vector Data (Vector) 34237 Parker, Colorado 20220512 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 14268 Emerald Bay, California 20220511 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 34433 Patzau, Wisconsin 20220429 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 35590 Platte Canyon, Colorado 20220511 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 20627 Hoffman, Minnesota 20220502 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 24557 Lake Miltona East, Minnesota 20220501 for 7.5 x 7.5 minute Shapefile USGS US Topo 7.5-minute map for Lawrence West, KS 2018 USGS National Hydrography Dataset Plus High Resolution (NHDPlus HR) for 4-digit Hydrologic Unit - 1702 (published 20180911) USGS US Topo 7.5-minute map for Coulee City, WA 2020 USGS US Topo 7.5-minute map for Mud Spring, WA 2020 USGS US Topo 7.5-minute map for Hopkins Canyon, WA 2020 US Topo 7.5-minute map for Parker, CO US Topo 7.5-minute map for Eudora, KS Umpqua River Oregon Garden Valley PhotoMosaic 1967 Umpqua River Oregon North Umpqua PhotoMosaic 1939 Umpqua River Oregon Tidal PhotoMosaic 1967 US Topo 7.5-minute map for Leahy, WA US Topo 7.5-minute map for Chief Joseph Dam, WA US Topo 7.5-minute map for Foster Coulee, WA US Topo 7.5-minute map for Bridgeport, WA USGS Topo Map Vector Data (Vector) 34237 Parker, Colorado 20220512 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 14268 Emerald Bay, California 20220511 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 34433 Patzau, Wisconsin 20220429 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 35590 Platte Canyon, Colorado 20220511 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 20627 Hoffman, Minnesota 20220502 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 24557 Lake Miltona East, Minnesota 20220501 for 7.5 x 7.5 minute Shapefile USGS US Topo 7.5-minute map for Lawrence West, KS 2018 USGS US Topo 7.5-minute map for Coulee City, WA 2020 USGS US Topo 7.5-minute map for Mud Spring, WA 2020 USGS US Topo 7.5-minute map for Hopkins Canyon, WA 2020 US Topo 7.5-minute map for Parker, CO US Topo 7.5-minute map for Eudora, KS US Topo 7.5-minute map for Leahy, WA US Topo 7.5-minute map for Chief Joseph Dam, WA US Topo 7.5-minute map for Foster Coulee, WA US Topo 7.5-minute map for Bridgeport, WA Umpqua River Oregon Tidal PhotoMosaic 1967 USGS National Hydrography Dataset Plus High Resolution (NHDPlus HR) for 4-digit Hydrologic Unit - 1702 (published 20180911)