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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...
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 Middle Branch Reservoir during July and August, 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...
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 West Branch Reservoir during September 2017, October 2017, and October 2019. Depth data were collected primarily with a multibeam echosounder; additional bathymetry points were measured using an acoustic Doppler current profiler (ADCP). 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...
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 Boyd Corners Reservoir during September 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...
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In 2004, about 90 migrating elk drowned after attempting to cross thin ice on the Mores Creek arm of Lucky Peak Lake upstream of the Highway 21 bridge. To better understand the depths over a range of reservoir pool elevations in the Mores Creek Arm, the U.S. Geological Survey, in cooperation with the Lucky Peak Power Plant Project, conducted high-resolution multibeam echosounder (MBES) bathymetric surveys on the Mores Creek arm on Lucky Peak Lake. The MBES data will assist reservoir managers and wildlife biologists with regulating reservoir water surface elevations (WSE) to support successful big game migration across Mores Creek on Lucky Peak Lake. Data collection provided nearly 100 percent coverage of bed elevations...
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In 2009, the Kootenai Tribe of Idaho released and implemented the Kootenai River Habitat Restoration Master Plan. This plan aimed to restore, enhance, and maintain the Kootenai River habitat and landscape to support and sustain habitat conditions for aquatic species and animal populations. In support of these restoration efforts, the U.S. Geological Survey, in cooperation with the Kootenai Tribe of Idaho, conducted high-resolution multibeam echosounder bathymetric surveys as a baseline bathymetric monitoring survey on the Kootenai River near Bonners Ferry, Idaho. Three channel patterns or reaches exist in the study area: braided, meander, and a transitional zone connecting the braided and meander reaches. Bathymetric...
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The digitally compiled map includes geology, oil and gas field centerpoints, and geologic provinces of the Arctic (North Pole area encircled by 640 N Latitude). The GIS data sets were designed originally in ESRI's ARC/INFO ver. 8.0.1 and were published as part of a series of interim CD-ROM products of the U.S. Geological Survey's World Energy Project (WEP). The goal of the WEP is to assess the undiscovered, technically recoverable oil and gas resources of the world. Results of this assessment were reported in the year 2000 (see USGS DDS-60; http://pubs.usgs.gov/dds/dds-060/).
Categories: Data, pre-SM502.8; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Admiralty Arch, Province 1061, Anabar Basin, Province 1200, Anabar-Olenek High, Province 1202, Anadyr Basin, Province 1300, Anzhu Uplift, Province 1255, All tags...
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The digitally compiled map includes geology, oil and gas field centerpoints, and geologic provinces of the Arctic (North Pole area encircled by 640 N Latitude). The GIS data sets were designed originally in ESRI's ARC/INFO ver. 8.0.1 and were published as part of a series of interim CD-ROM products of the U.S. Geological Survey's World Energy Project (WEP). The goal of the WEP is to assess the undiscovered, technically recoverable oil and gas resources of the world. Results of this assessment were reported in the year 2000 (see USGS DDS-60; http://pubs.usgs.gov/dds/dds-060/).
Categories: Data, pre-SM502.8; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Admiralty Arch, Province 1061, Anabar Basin, Province 1200, Anabar-Olenek High, Province 1202, Anadyr Basin, Province 1300, Anzhu Uplift, Province 1255, All tags...
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This data release presents data for 5-m resolution multibeam-bathymetry and acoustic-backscatter data of the northern Channel Islands region, southern California. In 2004 the U.S. Geological Survey, Pacific Coastal and Marine Science Center collected multibeam-bathymetry and acoustic-backscatter data in the northern Channel Islands region, southern California. The region was mapped aboard the R/V Ewing using a Kongsberg Simrad EM-1002 multibeam echosounder. These data were previously published on-line at http://pubs.usgs.gov/of/2005/1153/. In this data release the data have been reprocessed to a finer spatial resolution (5-m versus 15-m) using more modern processing techniques. Due to the large file sizes the entire...
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This dataset is a LAS (industry-standard binary format for storing lidar point clouds) dataset containing light detection and ranging (lidar) data and sonar data representing the beach and near-shore topography of Lake Superior at Minnesota Point, near the Duluth entry, Duluth, Minnesota. Average point spacing of the LAS files in the dataset are as follows: lidar, 0.094 meters (m); multibeam sonar, 0.501 m; single-beam sonar, 1.876 m. The LAS dataset was used to create digital elevation models (DEMs) of 10 m (32.8084 feet) and 1 m (3.28084 feet) resolution, of the approximate 1.75 square kilometer surveyed area. Lidar data were collected August 22, 2022 using a boat mounted Velodyne VLP-16 unit and methodology similar...
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This data release includes field measurements of flow depth and optical image sequences acquired from the Salcha River in Alaska on July 25, 2019. These data were used to develop and test a spectrally based remote sensing technique for estimating water depth from passive optical image data. The purpose of this study was to assess the feasibility of inferring water depths from optical image sequences acquired from a helicopter hovering above the river by averaging the images over time and then establishing a correlation between a spectral band ratio and field measurements of depth, and to develop a modular workflow for performing this type of analysis. Remote sensing of river bathymetry (depth) could provide a...
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Surveys of the bathymetry and backscatter intensity of the sea floor south of Long Island, New York, were carried out in November 1998 using a Simrad EM1000 multibeam echosounder mounted on the Canadian Coast Guard ship Frederick G. Creed. The purpose of the multibeam echosounder surveys was to explore the bathymetry and backscatter intensity of the sea floor in several areas off the southern coast of Long Island along the 20-meter isobath. Survey areas offshore of Fire Island Inlet, Moriches Inlet, Shinnecock Inlet, and southwest of Montauk Point were about 1 kilometer (km) wide and 10 km long. The area was mapped by the U.S. Geological Survey with support from the Canadian Hydrographic Service and the University...
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Water supply lakes are the primary source of water for many communities in northern and western Missouri. Therefore, accurate and up-to-date estimates of lake capacity are important for managing and predicting adequate water supply. Many of the water supply lakes in Missouri were previously surveyed by the U.S. Geological Survey in the early 2000s (Richards, 2013) and in 2013 (Huizinga, 2014); however, years of potential sedimentation may have resulted in reduced water storage capacity. Periodic bathymetric surveys are useful to update the area/capacity table and to determine changes in the bathymetric surface. From July 2019 to June 2020, the U.S. Geological Survey, in cooperation with the Missouri Department...
Categories: Data Release - Revised; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Bathymetry, Bathymetry and Elevation, Bethany, Caldwell County, Daviess County, All tags...
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This data publication is a compilation of six different multibeam surveys covering the previously unmapped Queen Charlotte Fault offshore southeast Alaska and Haida Gwaii, Canada. These data were collected between 2005 and 2018 under a cooperative agreement between the U.S. Geological Survey, Natural Resources Canada, and the National Oceanic and Atmospheric Administration. The six source surveys from different multibeam sonars are combined into one terrain model with a 30-m resolution. A complementary polygon shapefile records the extent of each source survey in the output grid.
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This data release includes multispectral images and field measurements of water depth from the Sacramento River near Glenn, California, used to evaluate the potential for efficient reach-scale mapping of river bathymetry using Uncrewed Aircraft Systems (UAS). The images were acquired by a MicaSense RedEdge-MX Dual Camera deployed from a Trinity F90 vertical take-off and landing (VTOL) UAS. The 4 km long study area along the Sacramento River was subdivided into three distinct but adjacent areas of interest (AOIs) and image data were collected from one AOI each day between September 14 and 16, 2021. The image data were ortho-rectified using Quantum-Systems QBase 3D and Agisoft Metashape software and saved as GeoTIFF...
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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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Data were collected in August, 2020 to support development of a bathymetric map for Larimore Dam in Grand Forks County, North Dakota. Global Navigation Satellite System (GNSS) surveying equipment was used in static and real-time kinematic (RTK) mode to establish a local reference mark and check-in/check-out point, to collect water surface elevations, and to collect topographic points along established data collection transects. Topographic points were collected on land, in water too shallow for boating, and in areas of the lake where thick aquatic vegetation prohibited use of an echosounder and transducer. In areas of the lake deep enough for boating and where aquatic vegetation was not present, depth data was collected...
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This dataset is a LAS (industry-standard binary format for storing large point clouds) dataset containing light detection and ranging (LiDAR) data and sonar data representing the beach and near-shore topography of Lake Superior at Minnesota Point, Duluth, Minnesota. Average point spacing of the LAS files in the dataset are as follows: LiDAR, 0.137 meters (m); multi-beam sonar, 1.029 m; single-beam sonar, 0.999 m. The LAS dataset was used to create a 10-m (32.8084 feet) digital elevation model (DEM) of the approximately 5.9 square kilometer (2.3 square mile) surveyed area using the "LAS dataset to raster" tool in Esri ArcGIS, version 10.7. LiDAR data were collected August 10, 2019 using a boat-mounted Optech ILRIS...


map background search result map search result map Grid of the sea-floor bathymetry offshore of Shinnecock Inlet, New York, in 1998 (3-m resolution Esri binary grid, Mercator, WGS 84) High-resolution multibeam bathymetry and backscatter data collected in 2004 for the northern Channel Islands region, southern California Echosounder Points, Neversink Reservoir, 2014 Echosounder Points, Schoharie Reservoir, 2014 UMRR Illinois River Starved Rock Reach Bathymetry Footprint Kootenai River Supplemental Surveys near Bonners Ferry, ID, 2012-2022 LAS dataset of LiDAR and sonar data collected at Lake Superior at Minnesota Point, Duluth, MN, August 2019 Field measurements of flow depth and optical image sequences acquired from the Salcha River, Alaska, on July 25, 2019 Bathymetric Data Collection for Larimore Dam in North Dakota, August 2020 Bathymetric and supporting data for various water supply lakes in northwestern Missouri, 2019 and 2020 (ver. 1.1, September 2021) Geospatial bathymetry datasets for Boyd Corners Reservoir, New York, 2017 Geospatial bathymetry datasets for Middle Branch Reservoir, New York, 2017 Geospatial bathymetry datasets for West Branch Reservoir, New York, 2017 to 2019 Polygon shapefile of data sources used to create a bathymetric terrain model of multibeam sonar data collected between 2005 and 2018 along the Queen Charlotte Fault System in the eastern Gulf of Alaska from Cross Sound, Alaska to Queen Charlotte Sound, Canada. (Esri polyon shapefile, UTM 8 WGS 84) Arctic Bathymetry (batharcst) Mores Creek Arm Bathymetric Survey - Depth Contours, Lucky Peak Lake, Boise County, Idaho, May 11 - 13, 2021 Great Salt Lake TBDEM Spatial Metadata LAS dataset of lidar, single-beam and multibeam sonar data collected at Lake Superior at Minnesota Point near the Duluth Entry, Duluth, MN, August 2022 Multispectral images and field measurements of water depth from the Sacramento River near Glenn, California, acquired September 14-16, 2021 Bathymetric Data Collection for Larimore Dam in North Dakota, August 2020 Mores Creek Arm Bathymetric Survey - Depth Contours, Lucky Peak Lake, Boise County, Idaho, May 11 - 13, 2021 LAS dataset of lidar, single-beam and multibeam sonar data collected at Lake Superior at Minnesota Point near the Duluth Entry, Duluth, MN, August 2022 Geospatial bathymetry datasets for Boyd Corners Reservoir, New York, 2017 Geospatial bathymetry datasets for Middle Branch Reservoir, New York, 2017 Field measurements of flow depth and optical image sequences acquired from the Salcha River, Alaska, on July 25, 2019 Multispectral images and field measurements of water depth from the Sacramento River near Glenn, California, acquired September 14-16, 2021 Echosounder Points, Schoharie Reservoir, 2014 LAS dataset of LiDAR and sonar data collected at Lake Superior at Minnesota Point, Duluth, MN, August 2019 Echosounder Points, Neversink Reservoir, 2014 Geospatial bathymetry datasets for West Branch Reservoir, New York, 2017 to 2019 UMRR Illinois River Starved Rock Reach Bathymetry Footprint Grid of the sea-floor bathymetry offshore of Shinnecock Inlet, New York, in 1998 (3-m resolution Esri binary grid, Mercator, WGS 84) Kootenai River Supplemental Surveys near Bonners Ferry, ID, 2012-2022 Bathymetric and supporting data for various water supply lakes in northwestern Missouri, 2019 and 2020 (ver. 1.1, September 2021) Great Salt Lake TBDEM Spatial Metadata Polygon shapefile of data sources used to create a bathymetric terrain model of multibeam sonar data collected between 2005 and 2018 along the Queen Charlotte Fault System in the eastern Gulf of Alaska from Cross Sound, Alaska to Queen Charlotte Sound, Canada. (Esri polyon shapefile, UTM 8 WGS 84) Arctic Bathymetry (batharcst)