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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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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 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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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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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 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 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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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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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...


map background search result map search result map Bathymetry and Storage Capacity of DeQueen Lake, Sevier County, Arkansas, 2015. 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 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 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 Geomorphology and Campsite Data, Colorado River, Marble and Grand Canyon, Arizona