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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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High resolution bathymetric, sea-floor backscatter, and seismic-reflection data were collected offshore of southeastern Louisiana aboard the research vessel Point Sur on May 19-26, 2017, in an effort to characterize mudflow hazards on the Mississippi River Delta front. As the initial field program of a research cooperative between the U.S. Geological Survey, the Bureau of Ocean Energy Management, and other Federal and academic partners, the primary objective of this cruise was to assess the suitability of sea-floor mapping and shallow subsurface imaging tools in the challenging environmental conditions found across delta fronts (for example, variably distributed water column stratification and widespread biogenic...
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This dataset is a point shapefile containing water-depth points collected during a sedimention survey of Lago Guayabal conducted during the period December 11- December 14, 2017 by the Puerto Rico office of the Caribbean-Florida Water Science Center of the U.S. Geological Survey (USGS). The goals of the survey were to determine reservoir infill sedimentation rates, generate a bathymetric map of the reservoir, and create a stage-volume relation. More than 270,000 water-depth points were surveyed along 60 navigation lines used in previous sedimentation surveys (Soler-Lopez, 2003, 2007, 2008). All water-depth data were collected using a Teledyne-Odom Echotrac CVM depth sounder coupled to a Global Positioning System...
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This shapefile contains center-beam depths for approximately 5727 trackline kilometers of Simrad EM122 multibeam-bathymetry data collected in the Bering Sea during U.S. Geological Survey - Coastal and Marine Geology Program cruise MGL1111 aboard the R/V Marcus G. Langseth. The depth values were extracted from gridded data which were reduced for position, elevation, orientation, water-column sound-speed, and refraction effects.
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The U.S. Geological Survey in cooperation with the Grand River Dam Authority completed a high-resolution multibeam bathymetric survey to compute a new capacity and surface-area table. The capacity and surface-area tables describe the relation between the elevation of the water surface and the volume of water that can be impounded at each given water-surface elevation. The capacity and surface area of Grand Lake O’ the Cherokees were computed from a Triangular Irregular Network (TIN) surface created in Global Mapper Version 21.0.1. The TIN surface was created from three datasets: (1) a multibeam bathymetric survey of Grand Lake O’ the Cherokees in 2019 (Hunter and others 2020), (2) a 2017 USGS bathymetric survey...
The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) Program Long Term Resource Monitoring (LTRM) element has overseen the collection, processing, and serving of bathymetric data since 1989. A systemic data collection for the Upper Mississippi River System (UMRS) was completed in 2010. Water depth in aquatic systems is important for describing the physical characteristics of a river. Bathymetric maps are used for conducting spatial inventories of the aquatic habitat and detecting bed and elevation changes due to sedimentation. Bathymetric data is widely used, specifically for studies of water level management alternatives, modeling navigation impacts and hydraulic conditions, and environmental...
The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) Program Long Term Resource Monitoring (LTRM) element has overseen the collection, processing, and serving of bathymetric data since 1989. A systemic data collection for the Upper Mississippi River System (UMRS) was completed in 2010. Water depth in aquatic systems is important for describing the physical characteristics of a river. Bathymetric maps are used for conducting spatial inventories of the aquatic habitat and detecting bed and elevation changes due to sedimentation. Bathymetric data is widely used, specifically for studies of water level management alternatives, modeling navigation impacts and hydraulic conditions, and environmental...
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This dataset is the survey area footprint for the beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, Minnesota. The survey footprint represents a LAS dataset of terrestrial light detection and ranging (lidar) of beach topography and multibeam sonar bathymetry to approximately 1 kilometer (0.62 miles) offshore, for an approximately 2.27 square kilometer surveyed area. The surveys were completed July 20 - July 23, 2020.
From May 2017 to November 2019, the U.S. Geological Survey conducted bathymetric surveys of New York City's East of Hudson Reservoirs. Bathymetry data were collected at Kirk Lake during June 2017. Depth data were collected primarily with a multibeam echosounder. Quality assurance points were measured with a single-beam echosounder. Water surface elevations were established using real-time kinematic (RTK) and static global navigation satellite system (GNSS) surveys and submersible pressure transducers. Measured sound velocity profiles were used to correct echosounder depth measurements for thermal stratification. Digital elevation models were created by combining the measured bathymetry data with lidar elevation...
From May 2017 to November 2019, the U.S. Geological Survey conducted bathymetric surveys of New York City's East of Hudson Reservoirs. Bathymetry data were collected at Lake Gleneida during May 2017. Depth data were collected primarily with a multibeam echosounder. Quality assurance points were measured with a single-beam echosounder. Water surface elevations were established using real-time kinematic (RTK) and static global navigation satellite system (GNSS) surveys and submersible pressure transducers. Measured sound velocity profiles were used to correct echosounder depth measurements for thermal stratification. Digital elevation models were created by combining the measured bathymetry data with lidar elevation...
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This dataset is a LAS dataset containing light detection and ranging (lidar) data and sonar data representing the beach and near-shore topography of Minnesota Point near the Superior Entry of Lake Superior, Duluth, Minnesota. The LAS data sets were used to create a digital elevation model (DEM) of the approximately 2.27 square kilometer surveyed area. Lidar data were collected using a boat mounted Velodyne unit. Multibeam sonar data were collected using a Norbit integrated wide band multibeam system compact (iWBMSc) sonar unit. Single-beam sonar data were collected using a Ceescope sonar unit. All elevation data were collected September 15-17, 2021. Methodology similar to Wagner, D.M., Lund, J.W., and Sanks, K.M.,...
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This dataset is a polygon shapefile delineating the footprint of bathymetric data collected in October, 2021 for an approximately 500 meter (m) reach of the Kalamazoo River upstream of Plainwell, Michigan (MI). Bathymetric data in the river channel were collected with a single beam sonar and Acoustic Current Doppler Profiler operated along 2 longitudinal transects and 48 cross-sectional transects, respectively.
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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...
The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) Program Long Term Resource Monitoring (LTRM) element has overseen the collection, processing, and serving of bathymetric data since 1989. A systemic data collection for the Upper Mississippi River System (UMRS) was completed in 2010. Water depth in aquatic systems is important for describing the physical characteristics of a river. Bathymetric maps are used for conducting spatial inventories of the aquatic habitat and detecting bed and elevation changes due to sedimentation. Bathymetric data is widely used, specifically for studies of water level management alternatives, modeling navigation impacts and hydraulic conditions, and environmental...
The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) Program Long Term Resource Monitoring (LTRM) element has overseen the collection, processing, and serving of bathymetric data since 1989. A systemic data collection for the Upper Mississippi River System (UMRS) was completed in 2010. Water depth in aquatic systems is important for describing the physical characteristics of a river. Bathymetric maps are used for conducting spatial inventories of the aquatic habitat and detecting bed and elevation changes due to sedimentation. Bathymetric data is widely used, specifically for studies of water level management alternatives, modeling navigation impacts and hydraulic conditions, and environmental...
The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) Program Long Term Resource Monitoring (LTRM) element has overseen the collection, processing, and serving of bathymetric data since 1989. A systemic data collection for the Upper Mississippi River System (UMRS) was completed in 2010. Water depth in aquatic systems is important for describing the physical characteristics of a river. Bathymetric maps are used for conducting spatial inventories of the aquatic habitat and detecting bed and elevation changes due to sedimentation. Bathymetric data is widely used, specifically for studies of water level management alternatives, modeling navigation impacts and hydraulic conditions, and environmental...


map background search result map search result map MGL1109centerdepth.shp: Multibeam bathymetry data collected by the U.S. Geological Survey in the Gulf of Alaska in 2011 during cruise MGL1109, along-track center-beam depths extracted from 100-meter gridded data in shapefile format, geographic coordinates MGL1111centerdepth.shp: Multibeam bathymetry data collected by the U.S. Geological Survey in the Bering Sea in 2011 during cruise MGL1111, along-track center-beam depths extracted from 100-meter gridded data in shapefile format, geographic coordinates Elevation Contours, Cannonsville Reservoir, 2015 Echosounder Points, Neversink Reservoir, 2014 Echosounder Points, Schoharie Reservoir, 2014 Echosounder Quality Assurance Points, Neversink Reservoir, 2014 Echosounder Quality Assurance Points, Rondout Reservoir, 2013 to 2014 UMRR Illinois River Alton Reach Bathymetry Footprint UMRR Mississippi River Navigation Pool 03 Bathymetry Footprint UMRR Mississippi River Navigation Pool 11 Bathymetry Footprint UMRR Mississippi River Navigation Pool 14 Bathymetry Footprint UMRR Mississippi River Navigation Pool 15 Bathymetry Footprint Multibeam Echosounder, Reson T-20P tracklines, USGS field activity 2017-003-FA, Mississippi River Delta front offshore of southeastern Louisiana (Esri polyline shapefile, GCS WGS 84) Data points, corresponding to the bathymetric survey of Lago Guayabal, Puerto Rico, December 2017 Data release of Bathymetric Map, Surface Area, and Capacity of Grand Lake O' the Cherokees, Northeastern Oklahoma, 2019 Geospatial bathymetry datasets for Kirk Lake, New York, 2017 Geospatial bathymetry datasets for Lake Gleneida, New York, 2017 Minnesota Point: Survey area of beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, MN, July 2020 LAS dataset of lidar, single-beam, and multibeam sonar data collected of Minnesota Point near the Superior Entry of Lake Superior, Duluth, MN, September 2021 Footprint of bathymetry data collected for a Kalamazoo River Reference Reach upstream of Plainwell, Michigan, in 2021 Footprint of bathymetry data collected for a Kalamazoo River Reference Reach upstream of Plainwell, Michigan, in 2021 Geospatial bathymetry datasets for Lake Gleneida, New York, 2017 Data points, corresponding to the bathymetric survey of Lago Guayabal, Puerto Rico, December 2017 Geospatial bathymetry datasets for Kirk Lake, New York, 2017 Minnesota Point: Survey area of beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, MN, July 2020 LAS dataset of lidar, single-beam, and multibeam sonar data collected of Minnesota Point near the Superior Entry of Lake Superior, Duluth, MN, September 2021 Echosounder Points, Schoharie Reservoir, 2014 Echosounder Quality Assurance Points, Neversink Reservoir, 2014 Echosounder Points, Neversink Reservoir, 2014 Echosounder Quality Assurance Points, Rondout Reservoir, 2013 to 2014 UMRR Mississippi River Navigation Pool 15 Bathymetry Footprint Elevation Contours, Cannonsville Reservoir, 2015 UMRR Mississippi River Navigation Pool 03 Bathymetry Footprint UMRR Mississippi River Navigation Pool 14 Bathymetry Footprint UMRR Mississippi River Navigation Pool 11 Bathymetry Footprint Data release of Bathymetric Map, Surface Area, and Capacity of Grand Lake O' the Cherokees, Northeastern Oklahoma, 2019 MGL1109centerdepth.shp: Multibeam bathymetry data collected by the U.S. Geological Survey in the Gulf of Alaska in 2011 during cruise MGL1109, along-track center-beam depths extracted from 100-meter gridded data in shapefile format, geographic coordinates MGL1111centerdepth.shp: Multibeam bathymetry data collected by the U.S. Geological Survey in the Bering Sea in 2011 during cruise MGL1111, along-track center-beam depths extracted from 100-meter gridded data in shapefile format, geographic coordinates