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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 bathymetry of Lake Superior at Minnesota Point, near the Duluth entry, Duluth, Minnesota. The point data are the same as that in LAS files that were used to create the digital elevation models (DEMs) of the approximate 1.75 square kilometer survey area. Lidar data were collected August 22, 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 August 22-23, 2022 using a Norbit integrated wide band...
To support an investigation of the feasibility of measuring river bathymetry using a polarizing lidar sensor, lidar and field measurements were collected on the Colorado River near Lees Ferry, Arizona on September 23, 2019. This parent data release includes links to child pages for the following data sets: 1) Lidar data used for mapping channel bathymetry (depth), acquired with a novel instrument that was developed by ASTRALiTe to distinguish between returns from the water surface and riverbed based on the polarization of laser pulses. 2) Field-based sonar surveys of bed topography used to evaluate the bathymetric mapping capabilities of the ASTRALiTe lidar. 3) Field-based measurements with instruments used...
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). Point (XYZ) data from the bathymetric survey were merged with XYZ data collected during a March 2008 aerial LiDAR survey provided by the U.S. Army Corps of Engineers, Little Rock District and stored in a feature dataset within the geodatabase. A terrain (digital terrain model, or DTM) was created from the XYZ data and stored in the geodatabase. Products derived from the DTM and stored in the geodatabase include a digital...
These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. Walker Lake lies within a topographically closed basin in west-central Nevada and is the terminus of the Walker River. Accurately determining the bathymetry and relations between lake-surface altitude, surface area, and storage volume are part of a study to improve the water budget for Walker Lake. Bathymetry of Walker Lake was measured using a single-beam echosounder coupled to a differentially-corrected global positioning system....
Categories: pre-SM502.8;
Tags: Churchill County,
Lidar,
Mineral County,
NSDI,
USGS Science Data Catalog (SDC),
Bathymetric data were collected from select sites along the Kootenai River in northern Idaho, September 26-27, 2017, to support research on sturgeon habitat, dispersion processes, and geomorphic change along the Kootenai and, more broadly, remote sensing of rivers. The U.S. Geological Survey (USGS) National Geospatial Program (NGP) and National Research Program (NRP) acquired hyperspectral image data from the Kootenai River near Bonners Ferry, ID. The image data extended from the Kootenai Tribal FishHatchery downstream to the Copeland bridge. Image data acquisition occurred on September 27, 2017. A field team collected ground truthing data within the project area to calibrate and validate estimates of water depth...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Idaho,
Kootenai River,
bathymetry,
depth,
multibeam echosounder,
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 10-meter (32.8084 ft) cell size and was created from LiDAR data representing beach topography and sonar data representing bathymetry to a distance of approximately 1.3 kilometers (0.8 miles) offshore. 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 August 7-11, 2019 using an R2Sonic 2024 sonar unit and methodology similar to that described...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Bathymetry and Elevation,
DEM,
Duluth,
Great Lakes,
Hydroacoustic,
To support Hurricane Florence impact modeling of storm-induced flooding and sediment transport, the U.S. Geological Survey (USGS) Coastal National Elevation Database (CoNED) Applications Project has created an integrated 1-meter topobathymetric digital elevation model (TBDEM) for coastal North Carolina, and South Carolina. High-resolution coastal topobathymetric data are required to characterize flooding, storms, and sea-level rise inundation hazard zones and other earth science applications, such as the development of sediment transport and storm surge models. This TBDEM consists of the best available multi-source topographic and bathymetric elevation data for the Coastal Carolinas including neighboring bays, estuaries,...
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 August 22, 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 August 22-23, 2022 using a Norbit integrated wide...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Bathymetry and Elevation,
DEM,
Duluth,
Great Lakes,
Hydroacoustic,
A bathymetric survey of Gillham Lake, Arkansas, was conducted in late June 2018 by the Lower Mississippi-Gulf Water Science Center of the U.S. Geological Survey (USGS) using methodologies for sonar surveys like those described by Wilson and Richards (2006) and Richards and Huizinga (2018). Data from the bathymetric survey were combined with data from an aerial Light Detection And Ranging (LiDAR) survey conducted in 2016 by the National Resources Conservation Service (U.S. Geological Survey, 2017) to create a digital elevation model (DEM) of the extent of the flood pool of the lake and compute volume (storage capacity) of the lake at 1-foot increments in water surface elevation from 431-559 feet (ft) above the North...
Categories: Data Release - Revised;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: ADCP,
AR,
ASCII,
Acoustic,
Arkansas,
Digital elevation model (DEM) of Norfork Lake, Arkansas-Missouri, derived from 2015 terrain dataset.
The dataset is a digital elevation model (DEM) of the bathymetry of Norfork Lake, Arkansas-Missouri, below a pool elevation of 580 ft above the North American Vertical Datum of 1988 (NAVD88). The DEM was derived from a terrain (digital terrain model, or DTM) created from a feature dataset of point (XYZ) data collected during an aerial LiDAR survey conducted in March, 2008, and a bathymetric survey conducted in September-October, 2015. References: Lee, 2013, Estimation of reservoir storage capacity using multibeam sonar and terrestrial LiDAR, Randy Poynter Lake, Rockdale County, Georgia, 2012: U.S. Geological Survey Scientific Investigations Map 3265, 1 sheet, https://pubs.usgs.gov/sim/3265/; Huizinga, 2016, Bathymetric...
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 Superior entry, Duluth, Minnesota. Average point spacing of the LAS files in the dataset are as follows: lidar, 0.086 meters (m); multibeam sonar, 0.512 m; single-beam sonar, 1.919 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 2.15 square kilometer surveyed area. Lidar data were collected September 07, 2022 using a boat mounted Velodyne VLP-16 unit and methodology...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Bathymetry and Elevation,
DEM,
Duluth,
Great Lakes,
Hydroacoustic,
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 near the Superior Entry, 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 800-1000 m offshore. The data cover an approximately 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,...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Bathymetry and Elevation,
DEM,
Duluth,
Great Lakes,
Hydroacoustic,
MBES bathymetry of Lake Michigan nearshore near Ogden Dunes/Burns Harbor, Indiana, September 8, 2016
These data are high-resolution bathymetry (lake bottom elevation) in XYZ format, generated from the September 8, 2016, topographic and hydrographic survey of Lake Michigan in an area near Ogden Dunes, Indiana. 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. Data processing required computer software to extract bathymetric...
A bathymetric survey of Blue Mountain Lake, Arkansas, was conducted in May 2017 by the Lower Mississippi-Gulf Water Science Center of the U.S. Geological Survey (USGS) using methodologies for sonar surveys similar to those described by Wilson and Richards (2006). Point data from the bathymetric survey were merged with point data from an aerial LiDAR survey conducted in December 2010 for the U.S. Army Corps of Engineers, Little Rock District. From the combined point data, a terrain dataset (a type of triangulated irregular network, or TIN, model) was created in Esri ArcGIS for the lakebed within the extent of pool elevation 420 feet above the North American Vertical Datum of 1988 (NAVD88). This Esri file geodatabase...
The bathymetry data was collected by the Hawaii Coastal Geology Group of the University of Hawai'i, Manoa in August of 2017 for USGS. A Garmin echoMAP Chirp was used to collect the data. 1 site along the western (lagoonside) and 2 at the lagoon entrance on the northern (ocean side) of the atoll was surveyed.
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 250 feet upstream 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 in...
These data are high-resolution bathymetry (lake bottom elevation) in a gridded XYZ format, generated from hydrographic surveys of Geist Reservoir 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 (ADCP)...
These data are high-resolution bathymetry (river bottom elevation) in XYZ format and measurements of sediment depth in CSV format, generated from the February 13–14, 2017, topographic and hydrographic survey of the Des Plaines River near Brandon Road Lock and Dam at Joliet, Illinois. Hydrographic data were collected in three separate areas (approach channel, mooring area, and upstream pool) using a multibeam echo-sounder (MBES) with integrated inertial navigation solution (INS) mounted on a marine survey vessel. Sediment depth data were collected in the approach channel using navigational software and probing equipment mounted on a marine survey vessel.
These data are digital elevation models (DEMs) of the beach topography and near-shore bathymetry of Lake Superior at Minnesota Point near the Duluth Entry, Duluth, Minnesota. A LAS dataset was used to create DEMs of 10 meter (m; 32.8084 feet) and 1 m (3.28084 feet) resolution, covering the approximately 1.75 square kilometer surveyed area. 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. Lidar data were collected August 22, 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 August 22-23, 2022 using a Norbit integrated...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Bathymetry and Elevation,
DEM,
Duluth,
Great Lakes,
Hydroacoustic,
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