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Filters: partyWithName: National Research Program (X) > partyWithName: Paul J Kinzel (X)

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The U.S. Geological Survey conducted hydrographic surveys from June 23-24, 2015, to monitor fish spawning substrate placements (reefs) in the Detroit River, Michigan. An interferrometric multibeam echosounder was used from the Great Lakes Science Center research vessel Mayfly to collect maps of river bottom topography in locations where spawning substrates have been placed. In addition, baseline topography was collected at locations where substrates were planned to be introduced. The Fighting Island reef had been constructed at the date of survey. Surveys were also conducted at prospective reef sites: Grassy Island, Fort Wayne and Upstream Belle Isle. This data release includes bathymetric surveys collected from...
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The U.S. Geological Survey, in collaboration with the Water Resources University in Hanoi, Vietnam, conducted a bathymetric survey of the junction of the Hong and Luoc Rivers. The survey was carried out in December 2010 using a boat-mounted multibeam echo sounder integrated with a global positioning system. A bathymetric map of the Hong and Luoc River junction was produced which was referenced to the datum of the Trieu Duong tide gage on the Luoc River. This data release contains the data used to produce the bathymetric map.
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The U.S. Geological Survey obtained measurements of channel geometry, flow velocity, and river discharge from five rivers in Alaska September 18–20, 2016, to support research on remote sensing of river discharge. The streamflow data were acquired from the Knik, Matanuska, Chena, and Salcha Rivers and Montana Creek using TeleDyne RD Instruments Acoustic Doppler Current Profilers (ADCPs), including the RioPro, StreamPro, and RiverRay models. The original *.mmt and *.pd0 format files are provided in this data release. This data release supports the following article: Legleiter, C.J., Kinzel, P.J., and Nelson, J.M., 2017, Remote measurement of river discharge using thermal particle image velocimetry (PIV) and various...
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The U.S. Geological Survey deployed seven submersible pressure transducers on the bottom of the Salcha River in July 2018. An additional transducer was left out of the water to correct for barometric pressure fluctuations. At the time of deployment, the bank position near each transducer and the water-surface elevation were measured with Global Navigation Satellite System (GNSS) equipment. The transducers recorded a depth measurement every 15-min until the recovery of five of the seven in October. We adjusted the water elevation measured at deployment by the difference between the depth measured at deployment and each subsequent depth measurement to derive the water-surface elevation at 15-min intervals. The data...
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The U.S. Geological Survey acquired hyperspectral image data and various field measurements from a reach of the Deschutes River near Bend, OR, between Benham Falls and Dillon Falls July 26-29, 2016, to support research on remote sensing of river discharge. This parent data release includes links to child pages for the following data sets: 1) hyperspectral image data; 2) ground-based bathymetric survey data obtained with a multi-beam echo sounder; 3) reflectance spectra and depth measurements acquired from a raft; and 4) an irradiance profile used to characterize attenuation of light by the water column. Please refer to the individual child pages for further detail about each data set. Overall, these data were...
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The U.S. Geological Survey collected field spectra collected from three rivers in Alaska September 19–21, 2016, to support research on remote sensing of river discharge. Reflectance measurements were made from bridges across the Chena River, Salcha River, and Montana Creek using an Analytical Spectral Devices FieldSpec3 spectroradiometer operated in reflectance mode. The original *.asd files are provided in this data release. This data release supports the following article: Legleiter, C.J., Kinzel, P.J., and Nelson, J.M., 2017, Remote measurement of river discharge using thermal particle image velocimetry (PIV) and various sources of bathymetric information: Journal of Hydrology, v. 554, p. 490-506, https://doi.org/10.1016/j.jhydrol.2017.09.004.
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The U.S. Geological Survey in collaboration with the U.S. Army Corps of Engineers Cold Regions Research and Engineering Laboratory (CRREL) collected topographic LiDAR surveys of six rivers in Alaska from August 27-September 1, 2018 to support research related to remote sensing of river discharge. Data were acquired for the Knik, Matanuska, Chena, Salcha, Tanana and Snow Rivers using a Riegl VQ-480 LiDAR. The LiDAR was installed on a Robinson R44 Raven helicopter in a HeliPod that was designed and operated by CRREL. The LiDAR data included as part of this release include: a bare earth digital elevation model (DEM) in GeoTiff format, and compressed binary LAS files (LAZ) for each river surveyed.
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Twenty one submersible pressure transducers were deployed along the Green River near Jensen Utah in late February 2018. At some locations two transducers were deployed at different elevations to capture the expected range of water level fluctuations, an "upper" and "lower" transducer. Two additional transducers were left out of the water to correct for barometric pressure fluctuations. At the time of deployment, the position of a reference point located on a t-post to which each transducer was mounted was measured with real-time kinematic GPS equipment. In addition, a tape down or the distance between the reference point to the water surface was recorded.The transducers collected a depth measurement every 15 minutes...
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A topographic and bathymetric survey was collected along a reach of the Green River downstream of Dinosaur National Monument. The surveyed reach extends approximately 16 kilometers upstream and 6 kilometers downstream of the U.S. Route 40 bridge near Jensen, Utah. The topographic and bathymetric data include survey point data for 382 cross sections over 22 kilometers and are provided as a text file of easting, northing and elevation, in meters. The cross-section location data were collected using real-time kinematic Global Navigation Satellite Systems (GNSS) by USGS personnel from March 26, 2018, through March 29, 2018 using a combination of Sound Navigation and Ranging (SONAR) and wading techniques.
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The U.S. Geological Survey in collaboration with the U.S. Army Corps of Engineers Cold Regions Research and Engineering Laboratory (CRREL) collected topographic LiDAR surveys of four rivers in Alaska from August 8-9, 2017 to support research related to remote sensing of river discharge. Data were acquired for the Knik, Matanuska, Chena and Salcha Rivers using a Riegl VQ-580 LiDAR. The LiDAR was installed on a Robinson R44 Raven helicopter in a HeliPod that was designed and operated by CRREL. The LiDAR data included as part of this release include: a bare earth digital elevation model (DEM), an intensity or reflectence digital surface model (DSM) both in GeoTiff format, and compressed binary LAS files (LAZ) for each...
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The U.S. Geological Survey collected thermal image time series from five rivers in Alaska September 18–20, 2016, to support research on remote sensing of river discharge. The image time series were acquired from bridges across the Knik, Matanuska, Chena, and Salcha Rivers and Montana Creek using a FLIR SC8340 mid-infrared (3–5 microns) camera operated at a rate of 10 frames/second. The original FLIR *.ast format video files are provided in this data release. This data release supports the following article: Legleiter, C.J., Kinzel, P.J., and Nelson, J.M., 2017, Remote measurement of river discharge using thermal particle image velocimetry (PIV) and various sources of bathymetric information: Journal of Hydrology,...
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This data release provides measurements of dye concentration collected to support and validate numerical simulations of dispersion on the Kootenai River, downstream of Bonners Ferry, Idaho. On August 13, 2008, at 06:00, 25.4 kilograms of rhodamine WT was diluted using raw river water in a 378.5 liter tank and released as a nearly single slug. The dye was released near River Kilometer (RKM) 239 over a period of 17 minutes. From 06:01 – 06:10 the dye was released at a fairly constant rate, and from 06:10 – 06:18 the dye was released at a slower rate associated with cleaning and rinsing the tank. Measurements of dye concentration were made using water quality sondes with 6130 rhodamine probes. Two sampling strategies...


    map background search result map search result map Rhodamine concentration data, Kootenai River, near Bonners Ferry, Idaho, 2008 Field spectra from rivers in Alaska, September 19–21, 2016 Thermal image time series from rivers in Alaska, September 18–20, 2016 ADCP data from rivers in Alaska, September 18–20, 2016 Hyperspectral image data and field measurements used for bathymetric mapping of the Deschutes River near Bend, OR Bathymetric survey of the Green River near Jensen, Utah, March 26-29, 2018 Topographic LiDAR surveys of rivers in Alaska, August 8-9, 2017 Hydrographic surveys collected to monitor fish spawning reef placements, Detroit River, Michigan, June 23-24, 2015 Bathymetry of the Hong and Luoc River Junction, Red River Delta, Vietnam, 2010 Topographic LiDAR surveys of rivers in Alaska, August 27-September 1, 2018 Water-surface elevations derived from submersible pressure transducers deployed along the Salcha River, Alaska, July-October 2018 Water-surface elevations derived from submersible pressure transducers deployed along the Green River near Jensen, Utah, February-September, 2018 Water-surface elevations derived from submersible pressure transducers deployed along the Salcha River, Alaska, July-October 2018 Hyperspectral image data and field measurements used for bathymetric mapping of the Deschutes River near Bend, OR Bathymetry of the Hong and Luoc River Junction, Red River Delta, Vietnam, 2010 Bathymetric survey of the Green River near Jensen, Utah, March 26-29, 2018 Water-surface elevations derived from submersible pressure transducers deployed along the Green River near Jensen, Utah, February-September, 2018 Rhodamine concentration data, Kootenai River, near Bonners Ferry, Idaho, 2008 Hydrographic surveys collected to monitor fish spawning reef placements, Detroit River, Michigan, June 23-24, 2015 Topographic LiDAR surveys of rivers in Alaska, August 8-9, 2017 Thermal image time series from rivers in Alaska, September 18–20, 2016 ADCP data from rivers in Alaska, September 18–20, 2016 Topographic LiDAR surveys of rivers in Alaska, August 27-September 1, 2018 Field spectra from rivers in Alaska, September 19–21, 2016