Filters: Tags: Sonar (X) > partyWithName: U.S. Geological Survey - ScienceBase (X)
42 results (17ms)|
Filters
Date Range
Extensions Types
Contacts
Categories Tag Types Tag Schemes |
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...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Bathymetry and Elevation,
DEM,
Duluth,
Great Lakes,
Hydroacoustic,
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...
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...
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...
Categories: Data;
Tags: Hamilton County,
Indiana,
Morse Reservoir,
Noblesville,
United States of America,
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...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Bathymetry and Elevation,
DEM,
Duluth,
Geomorphology,
Great Lakes,
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...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Aquatic Biology,
California,
Geomorphology,
Glenn,
Hydrology,
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...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Bathymetry and Elevation,
DEM,
Duluth,
Great Lakes,
Hydroacoustic,
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...
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...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Bathymetry and Elevation,
DEM,
Duluth,
Great Lakes,
Hydroacoustic,
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...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: ADCP,
AR,
ASCII,
Acoustic,
Arkansas,
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...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Bathymetry and Elevation,
DEM,
Duluth,
Great Lakes,
Hydroacoustic,
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...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Bathymetry and Elevation,
DEM,
Duluth,
Great Lakes,
Hydroacoustic,
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.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: DEM,
Hydroacoustic,
Illinois,
Iowa,
Lock and Dam 19,
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).
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Bathymetry,
Colorado River, AZ,
Lees Ferry, Arizona,
Remote Sensing,
lidar,
Bathymetric data were collected by the U.S. Geological Survey (USGS) in 2019 for approximately 2.2 square kilometers of the Nehalem Bay between the Highway 101 bridge and Nehalem Bay State Park (about 6.5 kilometers) near Wheeler, Oregon. The data were collected using a Trimble R8 Global Navigation Satellite System (GNSS) receiver combined with a Seafloor Systems Hydrolite TM single-beam 200 kilohertz echosounder mounted to a motorized boat. GPS positions received corrections in real time from the Oregon Real-Time GNSS Network. Sound velocity profiles were recorded at 19 different locations evenly spaced throughout the survey area using an AML Oceanographic Base X2 100 meter sound velocity profiler in order to quantify...
Bathymetric data were collected by the U.S. Geological Survey (USGS) in 2019 for approximately 2.2 square kilometers of the Nehalem Bay between the Highway 101 bridge and Nehalem Bay State Park (about 6.5 kilometers) near Wheeler, Oregon. The data were collected using a Trimble R8 Global Navigation Satellite System (GNSS) receiver combined with a Seafloor Systems Hydrolite TM single-beam 200 kilohertz echosounder mounted to a motorized boat. GPS positions received corrections in real time from the Oregon Real-Time GNSS Network. Sound velocity profiles were recorded at 19 different locations evenly spaced throughout the survey area using an AML Oceanographic Base X2 100 meter sound velocity profiler in order to quantify...
The dataset is a digital elevation model (DEM), in GeoTiff format, of the bathymetry of Dierks Lake, Howard and Sevier Counties, Arkansas. The extent of the DEM represents the area encompassing the extent of the aerial Light Detection And Ranging (LiDAR) data used in the project. Horizontal and vertical units are expressed in meters. The DEM was derived from an LAS dataset (an industry-standard binary format for storing aerial LiDAR data) created from point datasets stored in “Dierks2018_gdb”. The point datasets include aerial LiDAR data from a survey conducted in 2016 by the National Resources Conservation Service (U.S. Geological Survey, 2017), point data from digitized historical topographic maps, and bathymetric...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: ADCP,
AR,
ASCII,
Acoustic,
Arkansas,
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...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Bathymetry and Elevation,
DEM,
Duluth,
Great Lakes,
Hydroacoustic,
In 2021, the USGS 3D Elevation Program (3DEP) funded the collection of topo-bathymetric lidar (sometimes referred to as "green lidar") on the McKenzie River, Oregon. As part of this acquisition, lidar data were collected starting on the McKenzie River below Trail Bridge Reservoir and extending downstream roughly 125 km to its confluence with the Willamette River. Bathymetric lidar produced measurements of river bathymetry in areas of the McKenzie River channel that were generally less than 3 m in depth but did not produce measurements in deeper areas of the river. To fill the gaps in the topo-bathymetric lidar dataset (commonly referred to as "voids"), the U.S. Army Corps of Engineers funded USGS to collect boat-based...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Digital Elevation Model,
Finn Rock, Oregon,
McKenzie River, Oregon,
Rainbow, Oregon,
Springfield, Oregon,
The dataset is a digital elevation model (DEM), in GeoTiff format, of the bathymetry of Gillham Lake, Sevier County, Arkansas. The extent of the DEM represents the area encompassing the extent of the aerial Light Detection And Ranging (LiDAR) data used in the project. Horizontal and vertical units are expressed in meters. The DEM was derived from an LAS dataset (an industry-standard binary format for storing aerial LiDAR data) created from point datasets stored in “Gillham2018_gdb”. The point datasets include aerial LiDAR data from a survey conducted in 2016 by the National Resources Conservation Service (U.S. Geological Survey, 2017), point data from digitized historical topographic maps, and bathymetric data from...
|
|
