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This dataset is comprised of three files containing northing, easting, and elevation ("XYZ") information for light detection and ranging (LiDAR) data representing beach topography and sonar data representing near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, Minnesota. The point data is the same as that in LAS (industry-standard binary format for storing large point clouds) files that were used to create a digital elevation model (DEM) of the approximately 5.9 square kilometer (2.3 square mile) surveyed area. LiDAR data were collected August 10, 2019 using a boat-mounted Optech ILRIS scanner and methodology similar to that described by Huizinga and Wagner (2019). Multi-beam sonar data were collected...
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These data are bathymetry (river bottom elevation) in XYZ format, generated from the March 29-30, 2017 and April 13, 2017, bathymetric survey of the East Fork White River at Columbus, Indiana. The bathymetry was collected from approximately the confluence of Driftwood and Flatrock rivers, downstream to the confluence of Haw Creek. Hydrographic data were collected using an acoustic Doppler current profiler (ADCP) with integrated Differential Global Positioning System (DGPS). Data were collected as the surveying vessel traversed the river, approximately perpendicular to the velocity vectors at 55 cross sections which were spaced 200 feet apart along the river. Additional cross sections were collected upstream and...
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This ESRI geodatabase consists of 5 feature datsets with 23 individual polygon feature classes and two raster datasets. A master campsite polygon feature class represents the boundaries of campsites identified in the 1973, 1984, and 1991 campsite inventories of the Colorado River corridor in Grand Canyon, Arizona. The other polygon feature classes represent camp locations along the Colorado River corridor in Grand Canyon, Arizona during different survey periods using different surveying techniques. The raster datasets represent sub-aerial and sub-surface sandbar surfaces at 37 long term-monitoring sites between Lees Ferry and Diamond Creek, Arizona in Grand Canyon National Park, measured in September and October...
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These data are high-resolution bathymetry (lake bottom elevation) in a gridded XYZ format, generated from hydrographic surveys of Morse and Geist Reservoirs in April and May of 2016. Hydrographic data were collected using a multibeam echo-sounder (MBES) with integrated inertial navigation solution (INS) mounted on a marine survey vessel. Data were collected as the vessel traversed the lake along survey lines distributed throughout the area. Data collection software integrated and stored the depth data from the multibeam sonar and the horizontal and vertical position and attitude data of the vessel from the INS in real time. In the shallow areas, additional data were collected with an acoustic Doppler current profiler...
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These data are high-resolution bathymetry (lake bottom elevation) in a gridded XYZ format, generated from hydrographic surveys of Morse Reservoir in May 2016. Hydrographic data were collected using a multibeam echo-sounder (MBES) with integrated inertial navigation solution (INS) mounted on a marine survey vessel. Data were collected as the vessel traversed the lake along survey lines distributed throughout the area. Data collection software integrated and stored the depth data from the multibeam sonar and the horizontal and vertical position and attitude data of the vessel from the INS in real time. In the shallow areas, additional data were collected with an acoustic Doppler current profiler (ADCP) and a real-time...
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This dataset is a digital elevation model (DEM) of the beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, Minnesota. The DEM has a 10-meter (m; 32.8084 feet) cell size and was created from a LAS (industry-standard binary format for storing large point clouds) dataset of terrestrial light detection and ranging (LiDAR) data representing the beach topography and sonar data representing the bathymetry to approximately 1.3 kilometers (0.8 miles) offshore. Average point spacing of the LAS files in the dataset are as follows: LiDAR, 0.137 m; multi-beam sonar, 1.029 m; single-beam sonar, 0.999 m. LiDAR data were collected August 10, 2019 using a boat-mounted Optech ILRIS scanner and...
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These data are high-resolution bathymetry (river bottom elevation) in XYZ format, generated from the February 14, 2017, topographic and hydrographic survey of the Des Plaines River in an area centered approximately 0.3 miles downstream of Brandon Road Lock and Dam at Joliet, Illinois. Hydrographic data were collected using a multibeam echo-sounder (MBES) with integrated inertial navigation solution (INS) mounted on a marine survey vessel. Data were collected as the vessel traversed the river along survey lines distributed throughout the area. Data collection software integrated and stored the depth data from the multibeam sonar and the horizontal and vertical position and attitude data of the vessel from the INS...
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These data are bathymetry (river bottom elevation) in XYZ format, generated from the April 4-5, 2017, bathymetric survey of the Rolling Fork and Beech Fork near Boston, Kentucky. The bathymetry was collected from approximately 1.9 miles upstream from Kentucky State Highway 62 on the Beech Fork and approximately 1.5 miles upstream from Kentucky State Highway 62 on the Rolling Fork, to 2.6 miles downstream from Kentucky State Highway 62 on the Rolling Fork. Hydrographic data were collected using an acoustic Doppler current profiler (ADCP) with integrated Differential Global Positioning System (DGPS). Data were collected as the surveying vessel traversed the river, approximately perpendicular to the velocity vectors...
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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 dataset is comprised of three files containing northing, easting, and elevation ("XYZ") information for light detection and ranging (lidar) data representing the beach topography and sonar data representing near-shore topography of Lake Superior at Minnesota Point, near the Duluth entry, Duluth, Minnesota. The point data is the same as that in LAS files that were used to create the digital elevation models (DEMs) of the approximate 2.15 square kilometer surveyed area. Lidar data were collected September 07, 2022 using a boat mounted Velodyne VLP-16 unit and methodology similar to that described by Huizinga and Wagner (2019). Multibeam sonar data were collected September 06-07, 2022 using a Norbit integrated...
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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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A bathymetric survey of DeQueen Lake, Sevier County, Arkansas was conducted in July, 2015, by the Lower Mississippi-Gulf Water Science Center of the U.S. Geological Survey (USGS) using methodologies for multi-beam sonar surveys similar to those described by Lee, K.G. (2013) and Huizinga (2016). Data from the bathymetric survey were merged with data from an aerial LiDAR survey conducted in March, 2008 for the U.S. Army Corps of Engineers, Little Rock District and from the combined XYZ dataset, a digital terrain model (DTM) of the lakebed below flood pool elevation 474 feet above the North American Vertical Datum of 1988 (NAVD88) was created. Products derived from the DTM include a digital elevation model (DEM) in...
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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...
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A bathymetric survey of Nimrod Lake, Arkansas, was conducted in late April to mid-May, 2016, by the Lower Mississippi-Gulf Water Science Center (LMG WSC) of the U.S. Geological Survey (USGS) using methodologies for sonar surveys similar to those described by Wilson and Richards (2006) and Richards and Huizinga (2018). Point data from the bathymetric survey were merged with point data from an aerial LiDAR survey conducted in December, 2010, that were provided by the U.S. Army Corps of Engineers (USACE), Little Rock District. From the combined point dataset, a terrain dataset (a type of triangulated irregular network, or TIN, model) was created in Esri ArcGIS, version 10.5, for the area within the approximate extent...
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These data are digital elevation models (DEMs) of the beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, near the Superior entry, Duluth, Minnesota. The DEMs have 1 meter (m; 3.28084 ft) and/or 10 m (32.8084 ft) cell size and was created from a LAS dataset of terrestrial light detection and ranging (LiDAR) data representing the beach topography and sonar data representing the bathymetry for an approximate 1.78 square kilometer survey area. Average point spacing of the LAS files in the dataset are as follows: lidar, 0.055 meters (m); multibeam sonar, 0.511 m; single-beam sonar, 1.687 m. Lidar data were collected November 01, 2022 using a boat mounted Velodyne VLP-16 unit and methodology...
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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 bathymetry 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, 0.055 meters (m); multibeam sonar, 0.511 m; single-beam sonar, 1.687 m. The LAS dataset was used to create digital elevation models (DEMs) of 10 m (32.8084 feet) and 1 m (3.28084 feet) cell size, of the approximate 1.78 square kilometer surveyed area. Lidar data were collected November 01, 2022 using a boat mounted Velodyne VLP-16 unit and methodology...
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A side scan image collected with Humminbird Helix 10 on November 14, 2019. Side scan sonar creates a picture or an image of the riverbed. To generate an image, side scanners measures the strength of how loud the return sonar pings are.
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A bathymetric survey of Norfork Lake, Arkansas-Missouri, was conducted in September-October, 2015, by the Lower Mississippi-Gulf Water Science Center of the U.S. Geological Survey (USGS) using methodologies for multi-beam sonar surveys similar to those described by Lee (2013) and Huizinga (2016). Data from the bathymetric survey were merged with data collected during a March 2008 aerial LiDAR survey provided by the U.S. Army Corps of Engineers, Little Rock District. Using Esri ArcGIS version 10.3.1, a feature dataset of the XYZ points from the merged LiDAR and bathymetry data was created within a file geodatabase and an associated terrain (digital terrain model, or DTM) created from the XYZ feature dataset. Products...
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This data release includes data delivered to the USGS by ASTRALite in October 31, 2019 and includes points collected in 6 separate acquisitions or 'voyages". The data for each acquisition are in *.txt format. The files includes points with horizontal positions, elevations that area classified as water surface elevations (coded as 41) and bottom surface elevations (coded as 40).
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These data are high-resolution bathymetry (river bottom elevation) in XYZ format, generated from the February 13, 2017, topographic and hydrographic survey of the Des Plaines River in an area centered approximately 2.2 miles downstream of Brandon Road Lock and Dam at Joliet, Illinois. Hydrographic data were collected using a multibeam echo-sounder (MBES) with integrated inertial navigation solution (INS) mounted on a marine survey vessel. Data were collected as the vessel traversed the river along survey lines distributed throughout the area. Data collection software integrated and stored the depth data from the multibeam sonar and the horizontal and vertical position and attitude data of the vessel from the INS...


map background search result map search result map Bathymetry and Storage Capacity of DeQueen Lake, Sevier County, Arkansas, 2015. Bathymetry and Storage Capacity of Norfork Lake, Arkansas-Missouri, 2015. Multibeam bathymetry—mooring area Multibeam bathymetry—approach channel Bathymetry on the East Fork White River at Columbus, Indiana, March 29-30 and April 13, 2017 Bathymetry on the Rolling Fork and Beech Fork near Boston, Kentucky, April 4-5, 2017 Geomorphology and Campsite Data, Colorado River, Marble and Grand Canyon, Arizona Bathymetry and Storage Capacity of Nimrod Lake, Arkansas Bathymetry of Morse and Geist Reservoirs in central Indiana, 2016 Bathymetry of Morse Reservoir near Noblesville, Indiana, 2016 Beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, MN, August 2019 LAS dataset of LiDAR and sonar data collected at Lake Superior at Minnesota Point, Duluth, MN, August 2019 XYZ files of LiDAR and sonar data collected at Lake Superior at Minnesota Point, Duluth, MN, August 2019 Bathymetric lidar data from the Colorado River near Lees Ferry, Arizona, September 23, 2019 Lock and Dam 19 Side Scan, 2019 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 Beach topography and near-shore bathymetry of Lake Superior at Minnesota Point near the Duluth Entry, Duluth, MN, October-November 2022 LAS dataset of lidar, single-beam, and multibeam sonar data collected at Lake Superior at Minnesota Point near the Duluth Entry, Duluth, MN, October-November 2022 XYZ dataset of lidar, single-beam, and multibeam sonar data collected at Lake Superior at Minnesota Point near the Superior Entry, Duluth, MN, September 2022 Multispectral images and field measurements of water depth from the Sacramento River near Glenn, California, acquired September 14-16, 2021 Lock and Dam 19 Side Scan, 2019 Multibeam bathymetry—approach channel Multibeam bathymetry—mooring area Bathymetry on the East Fork White River at Columbus, Indiana, March 29-30 and April 13, 2017 LAS dataset of lidar, single-beam, and multibeam sonar data collected at Lake Superior at Minnesota Point near the Duluth Entry, Duluth, MN, October-November 2022 Beach topography and near-shore bathymetry of Lake Superior at Minnesota Point near the Duluth Entry, Duluth, MN, October-November 2022 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 Bathymetric lidar data from the Colorado River near Lees Ferry, Arizona, September 23, 2019 XYZ dataset of lidar, single-beam, and multibeam sonar data collected at Lake Superior at Minnesota Point near the Superior Entry, Duluth, MN, September 2022 Multispectral images and field measurements of water depth from the Sacramento River near Glenn, California, acquired September 14-16, 2021 Bathymetry on the Rolling Fork and Beech Fork near Boston, Kentucky, April 4-5, 2017 LAS dataset of LiDAR and sonar data collected at Lake Superior at Minnesota Point, Duluth, MN, August 2019 XYZ files of LiDAR and sonar data collected at Lake Superior at Minnesota Point, Duluth, MN, August 2019 Beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, MN, August 2019 Bathymetry and Storage Capacity of DeQueen Lake, Sevier County, Arkansas, 2015. Bathymetry and Storage Capacity of Nimrod Lake, Arkansas Bathymetry of Morse and Geist Reservoirs in central Indiana, 2016 Bathymetry and Storage Capacity of Norfork Lake, Arkansas-Missouri, 2015. Geomorphology and Campsite Data, Colorado River, Marble and Grand Canyon, Arizona