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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 dataset is a digital elevation model (DEM) of the beach topography of Lake Superior at Minnesota Point, Duluth, Minnesota. The DEM has a 1-meter (m; 3.28084 foot [ft]) 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 with an average point spacing of 0.137 m (0.45 ft). 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). References: Huizinga, R.J. and Wagner, D.M., 2019, Erosion monitoring along selected bank locations of the Coosa River in Alabama using terrestrial light detection and ranging...
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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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In 2013 the U.S. Geological Survey (USGS) drilled and logged a continuous core located on the northeast flank of the Alcova anticline in the southeastern part of the Wind River Basin, Wyoming to evaluate the source rock potential of the Lower and lowermost Upper Cretaceous marine shales (fig. 1). The well, named the Alcova Reservoir AR–1–13, was spud in the lower part of the Frontier Formation and ended in the upper part of the Cloverly Formation, and recovered core between 40.5 feet (ft) and 623 ft (figs. 1, 2). After coring was completed the USGS recorded geophysical data from the well bore, with digital data collected to a depth of 622 ft. Data include natural gamma, resistivity, conductivity, density, sonic,...
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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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Low-altitude (80-100 meters above ground level) digital images were obtained from a camera mounted on a 3DR Solo quadcopter, a small unmanned aerial system (UAS), in three locations along the Lake Ontario shoreline in New York during July 2017. These data were collected to document and monitor effects of high lake levels, including shoreline erosion, inundation, and property damage in the vicinities of Braddock Bay, Sodus Bay, and Chimney Bluffs State Park, New York. This data release includes images tagged with locations determined from the UAS GPS; tables with updated estimates of camera positions and attitudes based on the photogrammetric reconstruction; tables listing locations of the base stations, ground control...
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Low-altitude (80-100 meters above ground level) digital images were obtained from a camera mounted on a 3DR Solo quadcopter, a small unmanned aerial system (UAS), in three locations along the Lake Ontario shoreline in New York during July 2017. These data were collected to document and monitor effects of high lake levels, including shoreline erosion, inundation, and property damage in the vicinities of Braddock Bay, Sodus Bay, and Chimney Bluffs State Park, New York. This data release includes images tagged with locations determined from the UAS GPS; tables with updated estimates of camera positions and attitudes based on the photogrammetric reconstruction; tables listing locations of the base stations, ground control...
Tags: 3DR Solo quadcopter, Braddock Bay, Braddock Bay Park, Braddock Bay Wildlife Management Area, Braddock Point, All tags...
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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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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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Low-altitude (80-100 meters above ground level) digital images were obtained from a camera mounted on a 3DR Solo quadcopter, a small unmanned aerial system (UAS), in three locations along the Lake Ontario shoreline in New York during July 2017. These data were collected to document and monitor effects of high lake levels, including shoreline erosion, inundation, and property damage in the vicinity of Chimney Bluffs State Park, New York. This data release includes images tagged with locations determined from the UAS GPS; tables with updated estimates of camera positions and attitudes based on the photogrammetric reconstruction; tables listing locations of the base stations, ground control points, and transect points;...
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During 2017 and 2018, the U.S. Geological Survey (USGS) Idaho National Laboratory Project Office, in cooperation with the U.S. Department of Energy (DOE), drilled and constructed borehole USGS 145 (USGS site 433358113042701) for hydrogeologic data collection and stratigraphic framework analyses. The well is located along the western boundary of the Idaho National Laboratory (INL) just south of highway 20. USGS 145 was continuously cored from approximately 3 to 1,368 feet below land surface (BLS), and had water level of 704.73 ft BLS directly after drilling. Core was recovered over a two-year period, this includes cored depths from 3 to 678 ft between May 30, 2017,and November 13, 2017, and from 678 to 1,368 ft between...
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Low-altitude (80-100 meters above ground level) digital images were obtained from a camera mounted on a 3DR Solo quadcopter, a small unmanned aerial system (UAS), along the Lake Ontario shoreline in New York during July 2017. These data were collected to document and monitor effects of high lake levels, including shoreline erosion, inundation, and property damage in the vicinity of Sodus Bay, New York. This data release includes images tagged with locations determined from the UAS GPS; tables with updated estimates of camera positions and attitudes based on the photogrammetric reconstruction; tables listing locations of the base stations, ground control points, and transect points; geolocated, RGB-colored point...
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The Candy Lane 1 (CL-1) core was acquired in November 2005 as part of a multidisciplinary effort by the U.S. Geological Survey, the Bureau of Land Management, and the Bureau of Reclamation to investigate the Mancos Shale in the Gunnison Gorge National Conservation Area, Montrose County, Colorado. The Upper Cretaceous Mancos core was taken from the NE 1/4 sec. 8, T. 50 N., R. 9 W. corresponding to approximately lat 38.61717° N., long 107.90174° W. The CL-1 core contains part of the lower portion of the Mancos Shale Formation; Mancos Formation members in ascending order include the Bridge Creek Limestone (partial), Fairport, Blue Hill, Juana Lopez, Montezuma Valley, and Niobrara (partial). After coring was completed,...
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In 2019 and 2020, the U.S. Geological Survey (USGS), in cooperation with the U.S. Department of Energy (DOE) for Naval Reactors Laboratory Field Office or Naval Reactors Facility (NRF), drilled and constructed borehole USGS 152 (433906112553401) for seismic and stratigraphic framework analyses at the Idaho National Laboratory (INL) near the NRF, located in southeastern Idaho. Borehole USGS 152 was continuously cored from approximately 19 to 1,259 ft below land surface (BLS) and rotary drilled from approximately 1,259 to 1,630 ft BLS. Core drilling was discontinued after 1,259 ft BLS and changed over to straight rotary drilling due to funding constraints and deadlines. Core logs are displayed for three borings (USGS...
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The elevation contours in this dataset have a 2-foot (ft) interval and were derived from a digital elevation model (DEM) of beach topography and nearshore bathymetry of Lake Superior at Minnesota Point, Duluth, Minnesota. The DEM has a 1 meter (m; 3.28084 ft) cell size and was created from Lidar data representing beach topography and sonar data representing bathymetry extending approximately 700-800 m offshore. The data cover an approximately 1.75 square kilometer survey area. Lidar data were collected November 01, 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 October 31-November 01, 2022 using a Norbit...
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In May 2023, the U.S. Geological Survey provided training for bathymetric data acquisition and processing for the Iraq Ministry of Water Resources. The training included multibeam sonar theory, survey planning, data collection and processing, and dissemination. This data release presents the raw survey data, a digital elevation model (DEM), and a thalweg shapefile for three survey areas in the Pacific Northwest, USA (Mores Creek, Idaho; Columbia River, OR; Willamette River, OR). Additionally, metadata describes the processing steps, quality assurance and control, and an overall summary of each dataset. The bathymetry point cloud data were collected at selected study sites in the Pacific Northwest, U.S.A, May 2023...
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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 representing beach topography of Lake Superior at Minnesota Point, Duluth, Minnesota. Average point spacing of the LiDAR points in the dataset is 0.137 meters (m; 0.45 feet [ft]). The LAS dataset was used to create a 1-m (3.28084 ft) digital elevation model (DEM) of the approximately 4 kilometer (2.5 mile) surveyed reach of the beach. 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). References: Huizinga, R.J. and Wagner, D.M., 2019, Erosion monitoring along selected...
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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) and/or 10 m 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 2.15 square kilometer survey area. Average point spacing of the LAS files in the dataset are as follows: Lidar, 0.086 m; multi-beam sonar, 0.512 m; single-beam sonar, 1.919 m. Lidar data were collected September 07, 2022 using a boat mounted Velodyne VLP-16 unit and methodology similar to that described by...


map background search result map search result map Braddock East point cloud from low-altitude aerial imagery from unmanned aerial systems (UAS) flights over of the Lake Ontario shoreline in the vicinity of Braddock Bay, New York in July 2017 (LAZ file). Braddock West point cloud from low-altitude aerial imagery from unmanned aerial systems (UAS) flights over of the Lake Ontario shoreline in the vicinity of Braddock Bay, New York in July 2017 (LAZ file). Sodus North point cloud from low-altitude aerial imagery from unmanned aerial systems (UAS) flights over of the Lake Ontario shoreline in the vicinity of Sodus Bay, New York in July 2017 (LAZ file) Chimney Bluffs point cloud from low-altitude aerial imagery from unmanned aerial systems (UAS) flights over of the Lake Ontario shoreline in the vicinity of Chimney Bluffs, New York in July 2017 LAS digital data files for the U.S.Geological Survey Alcova AR-1-13 core hole, Natrona County, Wyoming 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 Digital elevation model (DEM) of beach topography of Lake Superior at Minnesota Point, Duluth, MN, August 2019 LAS dataset of LiDAR 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 LAS Digital logs for the Mancos Shale, Candy Lane 1 (CL-1) Core in Montrose County, Colorado Drilling, construction, geophysical data, and lithologic logs for borehole USGS 152 1. Bathymetry Point Clouds at selected study sites in the Pacific Northwest, USA, May 2023 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 Beach topography and near-shore bathymetry of Lake Superior at Minnesota Point near the Superior Entry, Duluth, MN, September 2022 Elevation contours of beach topography and near-shore bathymetry of Lake Superior at Minnesota Point near the Duluth Entry, Duluth, MN, October-November 2022 Drilling, construction, geophysical data, and lithologic log for borehole USGS 145 Chimney Bluffs point cloud from low-altitude aerial imagery from unmanned aerial systems (UAS) flights over of the Lake Ontario shoreline in the vicinity of Chimney Bluffs, New York in July 2017 Braddock West point cloud from low-altitude aerial imagery from unmanned aerial systems (UAS) flights over of the Lake Ontario shoreline in the vicinity of Braddock Bay, New York in July 2017 (LAZ file). LAS Digital logs for the Mancos Shale, Candy Lane 1 (CL-1) Core in Montrose County, Colorado Sodus North point cloud from low-altitude aerial imagery from unmanned aerial systems (UAS) flights over of the Lake Ontario shoreline in the vicinity of Sodus Bay, New York in July 2017 (LAZ file) Braddock East point cloud from low-altitude aerial imagery from unmanned aerial systems (UAS) flights over of the Lake Ontario shoreline in the vicinity of Braddock Bay, New York in July 2017 (LAZ file). Elevation contours of 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 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 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 Beach topography and near-shore bathymetry of Lake Superior at Minnesota Point near the Superior Entry, Duluth, MN, September 2022 Digital elevation model (DEM) of beach topography of Lake Superior at Minnesota Point, Duluth, MN, August 2019 LAS dataset of LiDAR data collected at Lake Superior at Minnesota Point, Duluth, MN, August 2019 Drilling, construction, geophysical data, and lithologic logs for borehole USGS 152 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 Drilling, construction, geophysical data, and lithologic log for borehole USGS 145 LAS digital data files for the U.S.Geological Survey Alcova AR-1-13 core hole, Natrona County, Wyoming 1. Bathymetry Point Clouds at selected study sites in the Pacific Northwest, USA, May 2023