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This map layer portrays the linear federally owned or administered land features (i.e., national parkways, wild and scenic rivers, etc.) of the United States and Puerto Rico. Some features may be administered in conjunction with local governments. The map layer was created by extracting and combining linear federal land features from the 1:1,000,000-scale Roads and Streams files that are part of The National Map. There are no Parkways or Scenic Rivers in Hawaii or in the U.S. Virgin Islands.
Types: Citation; Tags: ACOE, Alabama, Alaska, Arizona, Arkansas, All tags...
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The Satellite View with Shaded Relief of the Conterminous United States map layer is a 100-meter resolution simulated natural-color image of the United States, with relief shading added to accentuate terrain features. Vegetation is generally green, with forests in darker green and grasslands or shrublands in lighter green. Areas of high reflectance, including urban areas, rock, and dry bare soil, are shown in shades of tan and pink. Very bright areas, such as snow and ice, are light blue. The image was produced by combining a mosaic of Landsat Thematic Mapper (TM) imagery from the Landsat 4 and Landsat 5 satellites with shaded relief generated from 100-meter elevation data extracted from the National Elevation Dataset...
Types: Citation; Tags: Alabama, Arizona, Arkansas, California, Colorado, All tags...
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This map layer includes Global Map data showing waterbodies and wetlands of the United States, Puerto Rico, and the U.S. Virgin Islands. The data are a modified version of the National Atlas of the United States 1:1,000,000-Scale Waterbodies and Wetlands of the United States; that data set was created primarily from the Medium-Resolution and High-Resolution National Hydrography Dataset NHDWaterbody feature classes, through feature selection and cartographic generalization based on reference to published small-scale ancillary data sets.
Types: Citation; Tags: Alabama, Alaska, Arizona, Arkansas, California, 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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Layers of geospatial data include contours, boundaries, land cover, hydrography, roads, transportation, geographic names, structures, and other selected map features.
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Water quality and optical absorbance data for journal article entitled, "The removal kinetics of dissolved organic matter and the optical clarity of groundwater" by Francis H. Chapelle, Yuan Shen, Eric W. Strom, and Ronald Benner. Hydrogeology Journal. In Press.
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This map layer includes Global Map data showing cities and towns in the United States, Puerto Rico, and the U.S. Virgin Islands. The data are a modified version of the National Atlas of the United States 1:1,000,000-scale cities and towns of the United States; those source data were derived from the Geographic Names Information System (GNIS) and the U.S. Census Bureau National Places Gazetteer files. Global Map refers to these locations as Built-up Area (point) and defines them as areas containing a concentration of buildings and other structures (smaller than Built-up Area (face)). National Atlas cities or towns are defined as places with a recorded population, usually with at least one central area that provides...
Types: Citation; Tags: Alabama, Alaska, Arizona, Arkansas, California, All tags...
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A one-year seismic hazard forecast for the Central and Eastern United States, based on induced and natural earthquakes, has been produced by the U.S. Geological Survey. The model assumes that earthquake rates calculated from several different time windows will remain relatively stationary and can be used to forecast earthquake hazard and damage intensity for the year 2016. This assessment is the first step in developing an operational earthquake forecast for the CEUS, and the analysis could be revised with updated seismicity and model parameters. Consensus input models consider alternative earthquake catalog durations, smoothing parameters, maximum magnitudes, and ground motion estimates, and represent uncertainties...


map background search result map search result map Water quality and optical absorbance data for groundwater samples collected during 2010 to 2012 from select Principal Aquifers of the United States Modified Mercalli Intensity based on horizontal spectral response acceleration for 1.0-second period, with 1-percent probability of exceedance in 1 year for the Western United States USGS Small-scale Dataset - Global Map: Cities and Towns of the United States 201403 Shapefile USGS 1:1,000,000-Scale Federal Lands of the United States - Parkways and Scenic Rivers 201506 Shapefile USGS Small-scale Dataset - Public Land Survey System of the United States 201011 Shapefile USGS Small-scale Dataset - Railroads of the United States 200509 Shapefile USGS Small-scale Dataset - 100-Meter Resolution Satellite View with Shaded Relief of the Conterminous United States 201304 GeoTIFF USGS Small-scale Dataset - 1:1,000,000-Scale Congressional Districts of the United States - 113th Congress 201304 FileGDB 10.1 USGS Small-scale Dataset - 1:1,000,000-Scale Ferries of the United States 201406 FileGDB 10.1 USGS Small-scale Dataset - Global Map: 1:1,000,000-Scale Inland Water Areas of the United States 201406 FileGDB 10.1 USGS Small-scale Dataset - Global Map: 1:1,000,000-Scale Railroads of the United States 201403 FileGDB 10.1 USGS US Topo 7.5-minute map for Cuesta Del Burro NW, TX 2016 USGS US Topo 7.5-minute map for Cunningham Creek, TX 2016 USGS Combined Vector for Hill Ranch, Texas 20160524 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for South Bosque, Texas 20160524 7.5 x 7.5 minute Shapefile USGS Combined Vector for Stinnett, Texas 20160524 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Soap Creek, Texas 20160526 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for The Falls, Texas 20160525 7.5 x 7.5 minute Shapefile USGS Combined Vector for Tule Lake NW, Texas 20160525 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 22887 Jumping Spring, New Mexico 20170430 for 7.5 x 7.5 minute FileGDB 10.1 USGS US Topo 7.5-minute map for Cuesta Del Burro NW, TX 2016 USGS US Topo 7.5-minute map for Cunningham Creek, TX 2016 USGS Combined Vector for Hill Ranch, Texas 20160524 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for South Bosque, Texas 20160524 7.5 x 7.5 minute Shapefile USGS Combined Vector for Stinnett, Texas 20160524 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Soap Creek, Texas 20160526 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for The Falls, Texas 20160525 7.5 x 7.5 minute Shapefile USGS Combined Vector for Tule Lake NW, Texas 20160525 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 22887 Jumping Spring, New Mexico 20170430 for 7.5 x 7.5 minute FileGDB 10.1 Modified Mercalli Intensity based on horizontal spectral response acceleration for 1.0-second period, with 1-percent probability of exceedance in 1 year for the Western United States Water quality and optical absorbance data for groundwater samples collected during 2010 to 2012 from select Principal Aquifers of the United States USGS Small-scale Dataset - 100-Meter Resolution Satellite View with Shaded Relief of the Conterminous United States 201304 GeoTIFF USGS Small-scale Dataset - Railroads of the United States 200509 Shapefile USGS Small-scale Dataset - Global Map: 1:1,000,000-Scale Railroads of the United States 201403 FileGDB 10.1 USGS Small-scale Dataset - 1:1,000,000-Scale Ferries of the United States 201406 FileGDB 10.1 USGS 1:1,000,000-Scale Federal Lands of the United States - Parkways and Scenic Rivers 201506 Shapefile USGS Small-scale Dataset - Global Map: 1:1,000,000-Scale Inland Water Areas of the United States 201406 FileGDB 10.1 USGS Small-scale Dataset - Global Map: Cities and Towns of the United States 201403 Shapefile USGS Small-scale Dataset - Public Land Survey System of the United States 201011 Shapefile USGS Small-scale Dataset - 1:1,000,000-Scale Congressional Districts of the United States - 113th Congress 201304 FileGDB 10.1