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Filters: Tags: limnology (X) > partyWithName: Lower Mississippi-Gulf Water Science Center (X)

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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 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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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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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 (USACE), 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). Products included...
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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...
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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). Data from the bathymetric survey were merged with data collected during a March 2008 aerial LiDAR survey provided by the U.S. Army Corps of Engineers, Little Rock District. Using Esri ArcGIS version 10.3.1, a feature dataset of the XYZ points from the merged LiDAR and bathymetry data was created within a file geodatabase and an associated terrain (digital terrain model, or DTM) created from the XYZ feature dataset. Products...
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Rockdale County Department of Water Resources (RCDWR) has a mission to update estimates of the reservoir storage capacity of Randy Poynter Lake in northern Georgia and to assess recent sedimentation. The U.S. Geological Survey (USGS) Lower Mississippi-Gulf Water Science Center (LMGWSC) collected bathymetric data from November 29, 2022 to December 4, 2022 in support of RCDWR’s mission. Bathymetric data were collected using a high-resolution multibeam echosounder mapping system (MBMS), which consists of a multibeam echosounder (MBES) and an inertial navigation system (INS) mounted on a marine survey vessel, similar to methodologies described by Huizinga (2017). The final dataset of lakebed elevations (RandyPoynter2022_points.shp)...
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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)...
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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 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...
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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...
    map background search result map search result map Bathymetry and Storage Capacity of DeQueen Lake, Sevier County, Arkansas, 2015. Bathymetry and Storage Capacity of Norfork Lake, Arkansas-Missouri, 2015. Bathymetry and Storage Capacity of Blue Mountain Lake, Arkansas. Bathymetry and Storage Capacity of Nimrod Lake, Arkansas Bathymetry and Storage Capacity of Gillham Lake, Arkansas (ver. 1.1, April 2020) Bathymetry and Storage Capacity of Dierks Lake, Arkansas 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 Elevation contours of beach topography and nearshore bathymetry of Lake Superior at Minnesota Point, Duluth, MN, from hydrographic survey August 2019 XYZ files of LiDAR and sonar data collected at Lake Superior at Minnesota Point, Duluth, MN, August 2019 Bathymetric and supporting data for estimation of reservoir storage capacity and geomorphic change detection analysis from a multibeam bathymetric survey of Randy Poynter Lake, Rockdale County, Georgia Elevation contours of beach topography and nearshore bathymetry of Lake Superior at Minnesota Point, Duluth, MN, from hydrographic survey 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 Beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, MN, August 2019 Bathymetry and Storage Capacity of Blue Mountain Lake, Arkansas. Bathymetry and Storage Capacity of DeQueen Lake, Sevier County, Arkansas, 2015. Bathymetry and Storage Capacity of Dierks Lake, Arkansas Bathymetry and Storage Capacity of Gillham Lake, Arkansas (ver. 1.1, April 2020) Bathymetry and Storage Capacity of Nimrod Lake, Arkansas Bathymetry and Storage Capacity of Norfork Lake, Arkansas-Missouri, 2015.