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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.
Observations and subtle shifts of vegetation communities in western Lake Erie have USGS researchers concerned about the potential for Grass Carp to alter these vegetation communities. Broad-scale surveys of vegetation using remote sensing and GIS mapping, coupled with on-the-ground samples in key locations will permit assessment of the effect Grass Carp may have already had on aquatic vegetation communities and establish baseline conditions for assessing future effects. Existing aerial imagery was used with object-based image analysis to detect and map aquatic vegetation in the western basin of Lake Erie.
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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) 18820 Gypsum, Ohio 20200224 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 18820 Gypsum, Ohio 20200224 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 25811 Lindsey, Ohio 20200226 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 32650 Nunica, Michigan 20200708 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 36679 Put-in-Bay, Ohio 20200225 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 46867 Vickery, Ohio 20200225 for 7.5 x 7.5 minute FileGDB 10.1 Lake Erie, Western Basin Aquatic Vegetation data USGS Topo Map Vector Data (Vector) 4882 Borculo, Michigan 20200708 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 17969 Grand Haven, Michigan 20200708 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 20723 Holland East, Michigan 20200708 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 42032 Solomon, Kansas 20220501 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 49945 Wyandotte OK Shapefile USGS Topo Map Vector Data (Vector) 36870 Racine, Missouri 20210623 for 7.5 x 7.5 minute FileGDB 10.1 USGS NED 1/3 arc-second Contours for Tulsa W, Oklahoma 20220725 1 x 1 degree Shapefile USGS US Topo 7.5-minute map for Tescott NE, KS 2018 USGS US Topo 7.5-minute map for Gypsum, OH 2019 USGS US Topo 7.5-minute map for Genoa, OH 2019 USGS US Topo 7.5-minute map for Grandville, MI 2019 US Topo 7.5-minute map for Manchester, KS US Topo 7.5-minute map for Tescott, KS USGS Topo Map Vector Data (Vector) 18820 Gypsum, Ohio 20200224 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 18820 Gypsum, Ohio 20200224 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 25811 Lindsey, Ohio 20200226 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 32650 Nunica, Michigan 20200708 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 36679 Put-in-Bay, Ohio 20200225 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 46867 Vickery, Ohio 20200225 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 4882 Borculo, Michigan 20200708 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 17969 Grand Haven, Michigan 20200708 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 20723 Holland East, Michigan 20200708 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 42032 Solomon, Kansas 20220501 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 49945 Wyandotte OK Shapefile USGS Topo Map Vector Data (Vector) 36870 Racine, Missouri 20210623 for 7.5 x 7.5 minute FileGDB 10.1 USGS US Topo 7.5-minute map for Tescott NE, KS 2018 USGS US Topo 7.5-minute map for Gypsum, OH 2019 USGS US Topo 7.5-minute map for Genoa, OH 2019 USGS US Topo 7.5-minute map for Grandville, MI 2019 US Topo 7.5-minute map for Manchester, KS US Topo 7.5-minute map for Tescott, KS Lake Erie, Western Basin Aquatic Vegetation data USGS NED 1/3 arc-second Contours for Tulsa W, Oklahoma 20220725 1 x 1 degree Shapefile