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Filters: Types: OGC WMS Service (X) > Categories: Data (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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This data release consists of orthophotographs of the Snow River in Alaska acquired on September 1, 2018. The orthophotographs were produced from images obtained using a Hasselblad A6D-100C 100 megapixel digital mapping camera deployed within a pod mounted on the landing gear of a Robinson R44 helicopter. Images were acquired as the helicopter transited a series of flight lines designed to provide complete coverage, with ample overlap, of the study area along the Snow River. Also within the pod was an ATLANS GPS/Inertial Motion Unit (IMU) that recorded the position and orientation of the platform during the flight. This information was used to geo-reference the images by performing aerial triangulation and bundle...
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This model archive contains the data and software application necessary to simulate two-dimensional hydraulic parameters along a 1.6 kilometer study reach of the Sacramento River near Glenn, California. The iRIC modeling system and the NAYS2DH solver were used to simulate three river flows (90, 191, and 255 cubic meters per second) and provide spatially distributed depths, velocities, and water-surface elevations along the study reach. The archive is split into child-items to help distinguish the individual components of the archive and make downloading of large files more manageable. The first child item in the archive is the hydraulic model software application. The second child item includes the topographic data...
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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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Evaluating technologies and approaches to identify the movement of fine sediment over coarser substrate has implications for monitoring the condition of habitat restoration sites. This goal motivated testing the efficacy of Fiber Optic Distributed Temperature Sensing (FO-DTS) as a technique for detecting the migration of sand bedforms over coarser bed material. Experiments were conducted in a laboratory flume at the USGS Geomorphology and Sediment Transport Laboratory (GSTL) in Golden, Colorado. An approximately 20-meter length of fiber optic cable was placed in the flume. The first 5 meter segment of cable was buried in approximately 5 centimeters of gravel substrate and extended from the upstream (top) to the...
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Field-based real-time kinematic (RTK) GNSS surveys of water surface elevation and channel bed topography were collected along the Colorado River, near Parshall, Colorado focusing on two cross-sections from which remotely sensed data were obtained. These data were used to assess the accuracy of river bed elevations inferred from the ASTRALiTe bathymetric lidar, acquired from an unmanned aircraft system (UAS). 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 RTK GNSS surveys were performed using a local base station and Trimble R8 and R10 receivers while wading the channel...
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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 contracted with Juniper Unmanned to conduct field tests of the ASTRALiTe bathymetric lidar system on the Colorado River near Parshall, Colorado, on June 13, 2019. The objective of this project was to assess the potential to map river bathymetry (i.e., channel bed topography) using lidar data collected from an unmanned aircraft system (UAS). The ASTRALiTe lidar instrument was mounted on a DJI Matrice 600 Pro UAS owned and operated by Juniper Unmanned. As part of the study, Juniper's pilot flew the ASTRALiTe instrument across 2 river transects (cross-stream) on the Colorado River. This data release includes data delivered to the USGS by ASTRALite on August 1, 2019. The data have been parsed...
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Field measurements of flow depth and velocity and river discharge were collected from two cross-sections on the Blue River in Colorado using an acoustic Doppler current profiler (ADCP). These data were used to assess the accuracy of surface flow velocities inferred from thermal image time series, acquired from an unmanned aircraft system (UAS), via particle image velocimetry (PIV). 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 ADCP data were collected with a SonTek RiverSurveyor S5 mounted on a hydroboard towed behind an inflatable kayak. Four passes were made across...
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Bathymetric and topographic surveys were collected along an approximately 23-kilometer reach of the Colorado River between the Pumphouse Recreation Site and CO-131 (State Bridge) from August 1-3, 2022. The surveys were collected using real-time kinematic Global Navigation Satellite System (GNSS) receivers by USGS personnel using a combination of sonar and wading techniques. The wading survey includes point data that are provided as a comma-delimited text file of northing, easting, elevation, and code. The sonar surveys include point data that are provided as comma-delimited text files of northing, easting, bed elevation, water-surface elevation, and depth. All spatial data are referenced horizontally to the North...
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Field measurements of depth-averaged flow velocity were acquired from the Tanana and Nenana Rivers near Nenana, Alaska, August 18, 2021, to support research on estimating surface flow velocities from remotely sensed data via particle image velocimetry (PIV). The velocity measurements included in this data release were obtained using a TRDI RiverRay acoustic Doppler current profiler (ADCP) deployed from a boat with an outboard motor. These data were collected along 7 cross-sections on the Tanana River and 7 cross-sections on the Nenana River; two passes across the channel were made at each cross-section. This data release provides depth-averaged flow velocities derived from the raw ADCP data using the TRDI WinRiver...
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Field measurements of flow velocity were acquired from a reach of the Salcha River in Alaska, August 31, 2018, to support research on estimating surface flow velocities from remotely sensed data via particle image velocimetry (PIV). The velocity measurements included in this data release were obtained using a TRDI RiverRay acoustic Doppler current profiler (ADCP) deployed from a boat with an outboard motor. This data release provides depth-averaged flow velocities derived from the raw ADCP data using the TRDI WinRiver II processing software. The spatial location of each velocity measurement was obtained using a differential GPS included as part of the RiverRay instrument package. The map projection and datum...
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The U.S. Geological Survey contracted with Juniper Unmanned to conduct field tests of the ASTRALiTe bathymetric lidar system on the Blue River and Colorado River near Kremmling, Colorado, on October 18, 2018. The objective of this project was to assess the potential to map river bathymetry (i.e., channel bed topography) using lidar data collected from an unmanned aircraft system (UAS). The ASTRALiTe lidar instrument was mounted on a DJI Matrice 600 Pro UAS owned and operated by Juniper Unmanned. As part of the study, Juniper's pilot flew the ASTRALiTe instrument across 2 river transects (cross-stream) on the Blue River and 2 river transects (cross-stream) on the Colorado River. This data release includes data delivered...
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Field-based real-time kinematic (RTK) GNSS surveys of water surface elevation and channel bed topography were collected along the Blue River, focusing on two cross-sections from which remotely sensed data were obtained. These data were used to assess the accuracy of river bed elevations inferred from the ASTRALiTe bathymetric lidar, acquired from an unmanned aircraft system (UAS). 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 RTK GNSS surveys were performed using a local base station and Trimble R8 and R10 receivers while wading the channel at each cross-section. Additional...
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The U.S. Geological Survey contracted with Juniper Unmanned to conduct field tests of the ASTRALiTe bathymetric lidar system on the Blue River just upstream of its confluence with the Colorado River near Kremmling, Colorado, on October 18, 2018. The objective of this project was to assess the potential to map river bathymetry (i.e., channel bed topography) using lidar data collected from an unmanned aircraft system (UAS). The ASTRALiTe lidar instrument was mounted on a DJI Matrice 600 Pro UAS owned and operated by Juniper Unmanned. As part of the study, Juniper's pilot flew the ASTRALiTe instrument across 2 river transects (cross-stream) on the Blue River. This data release includes data delivered to the USGS by...
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The U.S Geological Survey conducted hydrographic surveys from July 23-25, 2018 to monitor fish spawning substrate placements (reefs) in the Detroit and St. Clair Rivers, Michigan. A multibeam echosounder was used from the Great Lakes Science Center research vessel Cisco to collect hydrographic data. These data were used to generate maps of river bottom topography in locations where spawning substrates have been placed. Reefs that had been constructed at the time of survey in the Detroit River included: Fighting Island, Fort Wayne, New (East) Belle Isle, Belle Isle, and Grassy Island. The reefs constructed in the St. Clair River at the time of survey included: Middle Channel, Pointe aux Chenes, and Harts Light.
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Field measurements of flow velocity were acquired from a reach of the Tanana River near Nenana, Alaska, July 24, 2019, to support research on estimating surface flow velocities from remotely sensed data via particle image velocimetry (PIV). The velocity measurements included in this data release were obtained using a TRDI RiverRay acoustic Doppler current profiler (ADCP) deployed from a boat with an outboard motor. This data release provides depth-averaged flow velocities derived from the raw ADCP data using the TRDI WinRiver II processing software. The spatial location of each velocity measurement was obtained using a differential GPS included as part of the RiverRay instrument package. The map projection and...
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To support research on dispersion in river channels, a tracer dye experiment was performed on the Kootenai River in northern Idaho, September 25-27, 2017. This data release provides access to hyperspectral image acquired during the experiment and the supporting field-based measurements of reflectance and dye concentration are available through related data releases. The hyperspectral image data were acquired by Quantum Spatial Inc. (QSI) using the ITRES CASI 1500H imaging system deployed from a Cessna Caravan manned aircraft from a flying height of 1000 m above ground level. Initial geometric and radiometric data processing was performed by ITRES and yielded images with 0.5 m pixels for each of 48 spectral bands...
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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.


map background search result map search result map Field spectra from rivers in Alaska, September 19–21, 2016 Hyperspectral image data and field measurements used for bathymetric mapping of the Deschutes River near Bend, OR Hydrographic surveys collected to monitor fish spawning reef placements, Detroit River, Michigan, June 23-24, 2015 Hyperspectral image data acquired during a tracer dye experiment on the Kootenai River, ID, September 27, 2017 Hydrographic surveys collected to monitor fish spawning reef placements, Detroit and St. Clair Rivers, Michigan, July 23-25, 2018 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 Bathymetric lidar data from the Blue River, Colorado, October 18, 2018 Wading surveys of bed topography and water depth from the Blue River, Colorado, October 18, 2018 Acoustic Doppler current profiler (ADCP) measurements of flow depth and velocity from the Blue River, Colorado, October 18, 2018 Bathymetric lidar data from the Colorado River, near Parshall, Colorado, June 13, 2019 Wading surveys of bed topography and water depth from the Colorado River, near Parshall, Colorado, June 13, 2019 Field measurements of flow velocity from the Salcha River, Alaska, August 31, 2018 Field measurements of flow velocity from the Tanana River, Alaska, July 24, 2019 Bathymetric lidar data from the Blue River and Colorado River, near Kremmling, Colorado, October 18, 2018 Data from a flume investigation using Fiber Optic Distributed Temperature Sensing (FO-DTS), U.S. Geological Survey Geomorphology and Sediment Transport Laboratory, Golden, Colorado, fall 2019 Geo-referenced orthophotographs of the Snow River, Alaska, acquired September 1, 2018 Acoustic Doppler Current Profiler (ADCP) field measurements of flow velocity from the Tanana and Nenana Rivers, Alaska, collected on August 18, 2021 Bathymetric surveys of the Colorado River between Pumphouse Recreation Site and CO-131 State Bridge, August 1-3, 2022 Model Archive: Two-dimensional flow simulations of the Sacramento River near Glenn, California Data from a flume investigation using Fiber Optic Distributed Temperature Sensing (FO-DTS), U.S. Geological Survey Geomorphology and Sediment Transport Laboratory, Golden, Colorado, fall 2019 Wading surveys of bed topography and water depth from the Colorado River, near Parshall, Colorado, June 13, 2019 Bathymetric lidar data from the Colorado River, near Parshall, Colorado, June 13, 2019 Bathymetric lidar data from the Blue River and Colorado River, near Kremmling, Colorado, October 18, 2018 Bathymetric lidar data from the Blue River, Colorado, October 18, 2018 Acoustic Doppler current profiler (ADCP) measurements of flow depth and velocity from the Blue River, Colorado, October 18, 2018 Wading surveys of bed topography and water depth from the Blue River, Colorado, October 18, 2018 Model Archive: Two-dimensional flow simulations of the Sacramento River near Glenn, California Water-surface elevations derived from submersible pressure transducers deployed along the Salcha River, Alaska, July-October 2018 Acoustic Doppler Current Profiler (ADCP) field measurements of flow velocity from the Tanana and Nenana Rivers, Alaska, collected on August 18, 2021 Hyperspectral image data and field measurements used for bathymetric mapping of the Deschutes River near Bend, OR Field measurements of flow velocity from the Salcha River, Alaska, August 31, 2018 Geo-referenced orthophotographs of the Snow River, Alaska, acquired September 1, 2018 Field measurements of flow velocity from the Tanana River, Alaska, July 24, 2019 Bathymetric surveys of the Colorado River between Pumphouse Recreation Site and CO-131 State Bridge, August 1-3, 2022 Hydrographic surveys collected to monitor fish spawning reef placements, Detroit River, Michigan, June 23-24, 2015 Hydrographic surveys collected to monitor fish spawning reef placements, Detroit and St. Clair Rivers, Michigan, July 23-25, 2018 Topographic LiDAR surveys of rivers in Alaska, August 27-September 1, 2018 Field spectra from rivers in Alaska, September 19–21, 2016