Filters: Tags: sonar (X)
59 results (95ms)|
Filters
Date Range
Extensions Types
Contacts
Categories Tag Types
|
These data are high-resolution bathymetry (lake bottom elevation) in XYZ format, generated from the July 25, 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...
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...
The Carr Fire ignited in northern California on July 23, 2018, and over the following six weeks burned almost 300,000 acres (approximately half on federal lands), resulting in a federal major-disaster declaration (DR-4382). Approximately 93 percent of the area within Whiskeytown National Recreation Area was burned extensively during the Carr Fire, including all of the landscape surrounding and draining into Whiskeytown Lake. Whiskeytown Lake, a federally managed reservoir, therefore acted as a sediment trap for material eroded from hillslopes and streambeds in the aftermath of the Carr Fire. The U.S. Geological Survey has measured topographic change associated with sediment deposition and erosion in and around Whiskeytown...
In recent years, rising sea levels have threatened critical infrastructure and cultural assets at Puʻuhonua o Hōnaunau National Historical Park thus motivating the park to make adaptive decisions in managing these key resources. To support the development of decision support tools for sea level rise preparedness, 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 Puʻuhonua o Hōnaunau National Historical Park. This dataset was developed in collaboration with the University of Hawaii- Mānoa Sea Level Center, Department of Interior Pacific Island Climate Adaptation Science Center, and...
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...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Bathymetry and Elevation,
DEM,
Duluth,
Great Lakes,
Hydroacoustic,
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). XYZ (point) data from the bathymetric survey were merged with XYZ (point) data from an aerial LiDAR survey conducted in March, 2008 for 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) of the lakebed below flood pool elevation 474 ft above the North American Vertical Datum of 1988 (NAVD88) was created from the XYZ (point)...
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.
Field-based multibeam sonar surveys were collected along the Colorado River, near Lees Ferry, Arizona from a motorized cataraft. These data were used to assess the accuracy of river bathymetry inferred from the ASTRALiTe bathymetric lidar, acquired contemporaneously from the same survey vessel. These data sets were collected to support research focused on developing innovative methods for non-contact measurement of river discharge based on various forms of remotely sensed data. The sonar survey data were exported to a comma-separated text file and the resulting *.csv file contain for each point the spatial coordinates, and depth (expressed as a negative number), all in meters
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Bathymetry,
Colorado River, Arizona,
Lee Ferry, Arizona,
sonar
River bathymetry measurements were collected in 2017 and 2018 along the Willamette River, Oregon, between Eugene and Newberg. These data were collected to complement a bathymetric lidar dataset collected in 2017 for the same section of river. In many deeper segments of the river channel, bathymetric lidar did not produce measurements of river bathymetry. To fill gaps in the bathymetric lidar dataset, USGS combined bathymetry data previously collected in 2015 and 2016 with newly collected survey data from 2017 and 2018. The bathymetric survey data acquired in 2017 and 2018 focused on filling gaps within the 2017 bathymetric lidar dataset. Bathymetry data were collected using a network based real time kinematic global...
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 Georgia. 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 Coastal Georgia including neighboring bays, estuaries, waterways, inlets, and...
A bathymetric survey of Dierks Lake, Arkansas, was conducted in late June - early July 2018 by the Lower Mississippi-Gulf Water Science Center of the U.S. Geological Surveys using methodologies for sonar surveys similar to 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 444-557 feet (ft)...
Categories: Data Release - Revised;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: ADCP,
AR,
ASCII,
Acoustic,
Arkansas,
Topobathy was surveyed during the fall of 2022 for two locations along Minnesota Point, where past beach nourishment (dredge materials) were placed. These topobathymetric surveys of Minnesota Point and Lake Superior are repeat surveys that will be used evaluate movement of placed material and overall change of near-shore bathymetry. The data was acquired using a lidar sensor, and single-beam and multibeam sonars. The data includes DEMs of the terrestrial beach areas and near-shore bathymetries of Lake Superior near the Duluth and Superior entries of Minnesota Point, 2-foot smoothed contours, LAS and XYZ files. Data were collected in cooperation with the U.S. Army Corps of Engineers (USACE), Detroit District.
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 the LAS files that were used to create the digital elevation models (DEMs) 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 similar to that described by Huizinga and Wagner (2019). Multibeam sonar data were collected October 31-November 01, 2022 using a Norbit...
The dataset is a digital elevation model (DEM), in GeoTiff format, of the bathymetric surface of Blue Mountain Lake, Arkansas, within the extent of pool elevation 420 feet (ft) above the North American Vertical Datum of 1988 (NAVD88). The DEM was derived from a terrain dataset created by merging bare earth point data from an aerial LiDAR survey conducted in December 2010 for the U.S. Army Corps of Engineers (USACE), Little Rock District, with point data from a bathymetric survey conducted in May 2017 by the Lower Mississippi-Gulf Water Science Center of the U.S. Geological Survey (USGS) using methodology similar to that described by Wilson and Richards (2006).
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: ADCP,
ASCII,
Acoustic,
Bathymetry and Elevation,
Doppler,
The dataset is a digital elevation model (DEM), in GeoTiff format, of the bathymetry of DeQueen Lake, Sevier County, Arkansas, below a pool elevation of 474 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 XYZ (point) data from an aerial LiDAR survey conducted in March, 2008 for the U.S. Army Corps of Engineers, Little Rock District, and a bathymetric survey 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). References: Lee,...
|
|
