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Filters: Types: OGC WMS Service (X) > Tags: {"type":"Theme"} (X) > partyWithName: Paul J Kinzel (X)

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This data release includes field measurements of flow depth and optical image sequences acquired from the Salcha River in Alaska on July 25, 2019. These data were used to develop and test a spectrally based remote sensing technique for estimating water depth from passive optical image data. The purpose of this study was to assess the feasibility of inferring water depths from optical image sequences acquired from a helicopter hovering above the river by averaging the images over time and then establishing a correlation between a spectral band ratio and field measurements of depth, and to develop a modular workflow for performing this type of analysis. Remote sensing of river bathymetry (depth) could provide a...
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This data release includes digital orthophotos acquired from a fixed-wing aircraft and field measurements of flow velocity from the Tanana and Nenana Rivers near Nenana, Alaska, obtained on August 18 and 19, 2021. This parent data release includes links to child pages for two data sets produced during the study: 1. Acoustic Doppler Current Profiler (ADCP) field measurements of flow velocity from the Tanana and Nenana Rivers, Alaska, collected on August 18, 2021. 2. Digital orthophotos of the Tanana and Nenana Rivers, Alaska, acquired from a fixed-wing aircraft on August 19, 2021. Please refer to the individual child pages for further detail about each data set. Overall, these data were used to assess the...
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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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This data release includes field measurements of flow velocity and optical image sequences used to derive remotely sensed estimates of surface flow velocities via particle image velocimetry (PIV) from two rivers in Alaska. These data were acquired from the Salcha River on August 31, 2018, and the Tanana River on July 24, 2019. The purpose of this study was to assess the feasibility of inferring flow velocities from optical image sequences acquired from a helicopter hovering above each river by tracking water surface features via various PIV algorithms and to develop a modular workflow for performing this type of analysis. Remote sensing of flow velocity could provide a more efficient, cost-effective alternative...
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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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This data release consists of a video and individual image frames extracted from the original high frame rate video and used to derive remotely sensed estimates of surface flow velocity via particle image velocimetry (PIV). These data were acquired from the Tanana River near Nenana, Alaska, on July 14, 2020. The video was obtained from a satellite operated by Planet Labs as part of the SkySat constellation. The original video was recorded at 30 frames per second and is provided in a compressed, lower-resolution .mp4 format video file for viewing. In addition, Planet Labs provided the individual frames comprising the video as full resolution TIFF images. This data release consists of individual frames extracted...
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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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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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To support an investigation of the feasibility of measuring river bathymetry using remotely sensed data acquired from a small unmanned aircraft system (sUAS), remotely sensed bathymetry and field measurements were collected from two cross-sections on the Colorado River near Parshall, CO on June 13, 2019. This parent data release includes links to child pages for the following data sets: 1) Lidar data used for mapping channel bathymetry (depth), acquired with a novel instrument that was developed by ASTRALiTe to distinguish between returns from the water surface and riverbed based on the polarization of laser pulses. 2) Field-based wading surveys of bed topography used to evaluate the bathymetric mapping capabilities...
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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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First release: 2017 Revised: July 2017 (ver. 1.1)
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This data release consists of a sequence of optical images extracted from a high frame rate video and used to derive remotely sensed estimates of surface flow velocity via particle image velocimetry (PIV). These data were acquired from the Tanana River near Nenana, Alaska, on July 24, 2019, along with field measurements of flow velocity used to assess the accuracy of image-derived velocity estimates. The images were obtained using a Zenmuse X5 video camera deployed within a Meeker mount attached to the nose of a Robinson R44 helicopter. The original video was recorded at 30 frames per second while the helicopter hovered in a fixed location approximately 600 m above the river, but the image sequence was extracted...
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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).
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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 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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This data release consists of a set of high frame rate videos used to derive remotely sensed estimates of water depth by averaging the individual video frames and establishing correlations between spectral band ratios and field measurements of depth. These data were acquired from the Salcha River near Fairbanks, Alaska, on July 25, 2019, along with field measurements of flow depth used to calibrate image-derived depth estimates and assess their accuracy. The images were obtained using a Zenmuse X5 video camera deployed within a Meeker mount attached to the nose of a Robinson R44 helicopter. The original video was recorded at 30 frames per second while the helicopter hovered in a fixed location approximately...
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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...


map background search result map search result map 2011 Multibeam sonar depth data 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 Water-surface elevations derived from submersible pressure transducers deployed along the Salcha River, Alaska, July-October 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 UAS-based remotely sensed bathymetry and field measurements from the Colorado River, near Parshall Colorado, June 13, 2019 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 and optical image sequences acquired from the Salcha and Tanana Rivers in Alaska in 2018 and 2019 and used for particle image velocimetry (PIV) Field measurements of flow velocity from the Salcha River, Alaska, August 31, 2018 High frame rate image sequence from the Tanana River, Alaska, July 24, 2019, for Particle Image Velocimetry Bathymetric lidar data from the Colorado River near Lees Ferry, Arizona, September 23, 2019 Bathymetric lidar data from the Blue River and Colorado River, near Kremmling, Colorado, October 18, 2018 Field measurements of flow depth and optical image sequences acquired from the Salcha River, Alaska, on July 25, 2019 Video from the Salcha River, Alaska, July 25, 2019, for estimating water depth 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 Satellite video and individual image frames from the Tanana River, Alaska, July 14, 2020, for Particle Image Velocimetry Digital orthophotos and field measurements of flow velocity from the Tanana and Nenana Rivers, Alaska, from August 2021 Acoustic Doppler Current Profiler (ADCP) field measurements of flow velocity from the Tanana and Nenana Rivers, Alaska, collected on August 18, 2021 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 UAS-based remotely sensed bathymetry and field measurements from the Colorado River, near Parshall Colorado, June 13, 2019 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 Bathymetric lidar data from the Colorado River near Lees Ferry, Arizona, September 23, 2019 Field measurements of flow depth and optical image sequences acquired from the Salcha River, Alaska, on July 25, 2019 Video from the Salcha River, Alaska, July 25, 2019, for estimating water depth Satellite video and individual image frames from the Tanana River, Alaska, July 14, 2020, for Particle Image Velocimetry 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 Digital orthophotos and field measurements of flow velocity from the Tanana and Nenana Rivers, Alaska, from August 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 High frame rate image sequence from the Tanana River, Alaska, July 24, 2019, for Particle Image Velocimetry 2011 Multibeam sonar depth data Field measurements of flow velocity and optical image sequences acquired from the Salcha and Tanana Rivers in Alaska in 2018 and 2019 and used for particle image velocimetry (PIV) Field spectra from rivers in Alaska, September 19–21, 2016