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From 2013 to 2015, bathymetric surveys of New York City’s six West of Hudson reservoirs (Ashokan, Cannonsville, Neversink, Pepacton, Rondout, and Schoharie) were performed to provide updated capacity tables and bathymetric maps. Depths were surveyed with a single-beam echo sounder and real-time kinematic global positioning system (RTK-GPS) along planned transects at predetermined intervals for each reservoir. A separate set of echo sounder data was collected along transects at oblique angles to the main transects for accuracy assessment. Field survey data was combined with water-surface elevations in a geographic information system to create three-dimensional surfaces representing reservoir-bed elevations in the...
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From 2013 to 2015, bathymetric surveys of New York City’s six West of Hudson reservoirs (Ashokan, Cannonsville, Neversink, Pepacton, Rondout, and Schoharie) were performed to provide updated capacity tables and bathymetric maps. Depths were surveyed with a single-beam echo sounder and real-time kinematic global positioning system (RTK-GPS) along planned transects at predetermined intervals for each reservoir. A separate set of echo sounder data was collected along transects at oblique angles to the main transects for accuracy assessment. Field survey data was combined with water-surface elevations in a geographic information system to create three-dimensional surfaces representing reservoir-bed elevations in the...
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From 2013 to 2015, bathymetric surveys of New York City’s six West of Hudson reservoirs (Ashokan, Cannonsville, Neversink, Pepacton, Rondout, and Schoharie) were performed to provide updated capacity tables and bathymetric maps. Depths were surveyed with a single-beam echo sounder and real-time kinematic global positioning system (RTK-GPS) along planned transects at predetermined intervals for each reservoir. A separate set of echo sounder data was collected along transects at oblique angles to the main transects for accuracy assessment. Field survey data was combined with water-surface elevations in a geographic information system to create three-dimensional surfaces representing reservoir-bed elevations in the...
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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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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 collected using a 600 kHz Rio Grande ADCP (acoustic Doppler current profiler) in mode 12 from a moving boat. The data were georeferenced with a Hemisphere A101 Smart Antenna differential GPS. These data were processed with Teledyne RD Instruments' software, WinRiver II. These data were collected concurrently with several water quality parameters that were collected by an autonomous underwater vehicle (AUV) in the same reach. This data release supports the following publication: VonIns, B.L., and Jackson, P.R., 2017, Response of currents and water quality to changes in dam operations in Hoover Reservoir, Columbus, Ohio, August 24–28, 2015: U.S. Geological Survey Scientific Investigations Report 2017–5027,...


map background search result map search result map Survey of velocity and bathymetry in Hoover Reservoir, ADCP source data, Columbus, OH (August, 2015) Elevation Contours, Cannonsville Reservoir, 2015 Elevation-area-capacity table, Cannonsville Reservoir, 2015 Elevation Raster, Cannonsville Reservoir, 2015 USGS Topo Map Vector Data (Vector) 19509 Hartford City West IN (published 20221104) FileGDB USGS Topo Map Vector Data (Vector) 70621 Lake Eucha East OK Shapefile USGS Topo Map Vector Data (Vector) 20996 Hopkinton East, Iowa 20220430 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 20997 Hopkinton West, Iowa 20220429 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 27410 Manchester, Iowa 20220429 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 44970 Thorpe, Iowa 20220429 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 9496 Colcord NE, Arkansas 20200915 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 9496 Colcord NE, Arkansas 20200915 for 7.5 x 7.5 minute Shapefile 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 Coggon, IA 2018 USGS US Topo 7.5-minute map for Dodge, OK 2018 USGS US Topo 7.5-minute map for Kansas, OK 2019 US Topo 7.5-minute map for Kansas, OK US Topo 7.5-minute map for Ketchum, OK US Topo 7.5-minute map for Siloam Springs NW, OK USGS Topo Map Vector Data (Vector) 23422 Ketchum OK GeoPackage Survey of velocity and bathymetry in Hoover Reservoir, ADCP source data, Columbus, OH (August, 2015) USGS Topo Map Vector Data (Vector) 19509 Hartford City West IN (published 20221104) FileGDB USGS Topo Map Vector Data (Vector) 70621 Lake Eucha East OK Shapefile USGS Topo Map Vector Data (Vector) 20996 Hopkinton East, Iowa 20220430 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 20997 Hopkinton West, Iowa 20220429 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 27410 Manchester, Iowa 20220429 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 44970 Thorpe, Iowa 20220429 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 9496 Colcord NE, Arkansas 20200915 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 9496 Colcord NE, Arkansas 20200915 for 7.5 x 7.5 minute Shapefile USGS US Topo 7.5-minute map for Coggon, IA 2018 USGS US Topo 7.5-minute map for Dodge, OK 2018 USGS US Topo 7.5-minute map for Kansas, OK 2019 US Topo 7.5-minute map for Kansas, OK US Topo 7.5-minute map for Ketchum, OK US Topo 7.5-minute map for Siloam Springs NW, OK USGS Topo Map Vector Data (Vector) 23422 Ketchum OK GeoPackage Elevation-area-capacity table, Cannonsville Reservoir, 2015 Elevation Contours, Cannonsville Reservoir, 2015 Elevation Raster, Cannonsville Reservoir, 2015 USGS NED 1/3 arc-second Contours for Tulsa W, Oklahoma 20220725 1 x 1 degree Shapefile