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This data release consists of a set of tiled orthophotos of the Salcha River in Alaska acquired on July 25, 2019. The orthophotos 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 Salcha 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...
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The U.S. Geological Survey conducted a bathymetric survey of a reach of the Deschutes River near Bend, OR, between Benham Falls and Dillon Falls on July 25, 2016, to support research on remote sensing of river discharge and characterization of habitat for amphibians, particularly the Oregon Spotted Frog (Rana pretiosa). The bathymetric survey data were obtained with an ITER Systems Bathyswath-1 468 kHz multi-beam echo sounder deployed from a customized research cataraft. The Bathyswath Swath Processor software package was used to acquire the raw data, which then were post-processed, filtered, and gridded using the Bathyswath Grid Processor program. The final output file included in this data release consists of...
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Bathymetric and topographic surveys were collected along an approximately 5.7-kilometer reach of the Colorado River upstream from the USGS streamgage located near the Colorado River Road (Catamount) bridge. The surveys were collected using real-time kinematic Global Navigation Satellite System (GNSS) receivers by USGS personnel between May 13 through September 9, 2021, using a combination of sonar and wading techniques. The wading surveys include point data that are provided as comma-delimited text files 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...
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To support an investigation of the feasibility of measuring river bathymetry using a polarizing lidar sensor, optical measurements were collected from the Colorado River near Lees Ferry, Arizona on September 23, 2019. Optical measurements were collected with a WET Labs ECO which measures the turbidity and concentration of colored dissolved organic matter (CDOM) and chlorophyll. Absorption and attenuation coefficients were collected with a WET Lab ac-s instrument.
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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 Bell 407 helicopter with a gyro-stabilized gimbal was used to collect aerial videos of Illinois River Water Science basin riverine study sites on June 7, 2022. Videos were collected during three flights on June 7, 2022 and focused on study sites along the Illinois River near Starved Rock. The videos are in a natural color camera channel (CH_1) and a thermal infrared camera channel (CH_2).
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This data release consists of a series of videos 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 videos were obtained using a Zenmuse X5 video camera deployed within a Meeker mount attached to the nose of a Robinson R44 helicopter. The data release includes a total of 14 individual videos obtained while the helicopter hovered at a series of different locations above the river channel to provide reach-scale coverage. Each of these videos was recorded at 30 frames...
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This archive contains results of flow and sediment transport simulations of a reach of the Middle Channel of the St. Clair River delta, Michigan using the iRIC modeling system and the Flow and Sediment Transport with Morphologic Evolution of Channels (FASTMECH) solver. Two hydraulic model simulations were used to determine lateral eddy viscosity and roughness settings. A third simulation contains results of the Wilcox-Kenworthy (WK) two-fraction sediment transport model. The WK model was used to simulate the movement of fine grained sediment into coarser immobile substrate. The coarse rock rubble substrate (reefs) constructed in the Middle Channel in 2012 began filling with sand within a year. However, detailed...
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Evaluating technologies and approaches to detect the infiltration of fines into coarser materials 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 infiltration of fine sediment into gravels. Experiments were conducted in a laboratory flume at the USGS Geomorphology and Sediment Transport Laboratory (GSTL) in Golden, Colorado. A 10 meter fiber optic cable was placed in the flume with one half of the cable buried approximately 6 centimeters in a substrate (gravel, sand, and mixtures of the two) along the length of the flume, while the other half was placed at...
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This data release provides an example data set to accompany the manuscript titled "A Robot Operating System (ROS) package for mapping flow fields in rivers via Particle Image Velocimetry (PIV)", submitted to the journal Software X. This ROS *.bag file contains remotely sensed data acquired during an Uncrewed Aircraft System (UAS) flight along a reach of the Sacramento River near Glenn, California, USA, on September 16, 2022. Cooperators on this project include the Intelligent Robotics Group from the National Aeronautics and Space Administration (NASA) Ames Research Center and the National Oceanographic and Atmospheric Administration (NOAA) Southwest Fisheries Science Center. The file bag6xs600.bag contains a single...
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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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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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This data release includes videos acquired from a helicopter and field measurements of flow depth and velocity from the Tanana River near Nenana, Alaska, obtained on July 24, 2019. 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 depth and velocity from the Tanana River, Alaska, collected on July 24, 2019. 2. Videos of the Tanana River, Alaska, acquired from a helicopter on July 24, 2019. Please refer to the individual child pages for further detail about each data set. Overall, these data were used to assess the potential to estimate surface flow velocities and water depths in sediment-laden...
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This data release includes the data and code used for the paper titled "A framework to facilitate development and testing of image-based river velocimetry algorithms", published in the journal Earth Surface Processes and Landforms. Three *.csv files and five *.m files with MATLAB source code are included below. Each *.csv file contains output from a hydrodynamic model of a reach of the Sacramento River near Glenn, California, with a separate file for each of three different discharges (i.e., streamflow rates): 90, 191, and 255 cubic meters per second. The hydrodynamic model used for this purpose was the Nays2DH solver available within the International River Cooperative Interface (iRIC). Provided below is a link...
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Field measurements of depth-averaged flow velocity and water depth were acquired from the Tanana River near Nenana, Alaska, August 18, 2021, to support research on estimating surface flow velocities and water depths from remotely sensed data. The depth and 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 8 cross-sections on the Tanana River; two passes across the channel were made at each cross-section. This data release provides depth-averaged flow velocities and total flow depths derived from the raw ADCP data using the TRDI WinRiver II processing software....
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To support an investigation of the feasibility of measuring river bathymetry using a polarizing lidar sensor, lidar and field measurements were collected on the Colorado River near Lees Ferry, Arizona on September 23, 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 sonar surveys of bed topography used to evaluate the bathymetric mapping capabilities of the ASTRALiTe lidar. 3) Field-based measurements with instruments used...
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This data release consists of an orthophoto of the Tanana River in Alaska acquired on July 24, 2019. The orthophoto was 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 Tanana 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 adjustment...
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This data release includes a video acquired from a satellite and field measurements of flow velocity from the Tanana River in Alaska that were used to derive remotely sensed estimates of surface flow velocities via particle image velocimetry (PIV). The field data were collected on July 24, 2019, in cooperation with the USGS Alaska Science Center, and the satellite video was obtained on July 14, 2020. The purpose of this study was to assess the feasibility of inferring flow velocities from video acquired from a satellite in orbit above the river by tracking water surface features via a Particle Image Velocimetry (PIV) algorithm. Remote sensing of flow velocity could provide a more efficient, cost-effective alternative...
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This data release includes cross section survey data collected during site visits to USGS gaging stations located throughout the Willamette and Delaware River Basins and multispectral images of these locations acquired as close in time as possible to the date of each site visit. In addition, MATLAB source code developed for the Bathymetric Mapping using Gage Records and Image Databases (BaMGRID) framework is also provided. The site visit data were obtained from the Aquarius Time Series database, part of the USGS National Water Information System (NWIS), using the Publish Application Programming Interface (API). More specifically, a custom MATLAB function was used to query the FieldVisitDataByLocationServiceRequest...
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Field measurements of flow depth and depth-averaged velocity were acquired from a reach of the Tanana River near Nenana, Alaska, July 24, 2019, to support research on estimating surface flow velocities and water depths from remotely sensed data via particle image velocimetry (PIV) and flow resistance equations, respectively. The depth and 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 depths and depth-averaged flow velocities derived from the raw ADCP data using the TRDI WinRiver II processing software. The WinRiver II output was then imported into the USGS Velocity...


map background search result map search result map Bathymetric survey data from the Deschutes River near Bend, OR, July 25, 2016 Bathymetric survey of the Green River near Jensen, Utah, March 26-29, 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, spring 2018 Topographic LiDAR surveys of rivers in Alaska, August 8-9, 2017 Water-surface elevations derived from submersible pressure transducers deployed along the Green River near Jensen, Utah, February-September, 2018 Remotely sensed bathymetry and field measurements from the Colorado River near Lees Ferry, Arizona, September 23, 2019 Geo-referenced orthophotos of the Salcha River, Alaska, acquired July 25, 2019 Optical measurements collected from the Colorado River, near Lees Ferry, Arizona, September 23, 2019 Satellite video and field measurements of flow velocity acquired from the Tanana River in Alaska and used for particle image velocimetry (PIV) Geo-referenced orthophotos of the Tanana River, Alaska, acquired July 24, 2019 Helicopter-based videos and field measurements of flow depth and velocity from the Tanana River, Alaska, acquired on July 24, 2019 Acoustic Doppler Current Profiler (ADCP) field measurements of flow depth and velocity from the Tanana River, Alaska, collected on July 24, 2019 Videos of the Tanana River, Alaska, acquired from a helicopter on July 24, 2019 Bathymetric surveys of the Colorado River upstream from Colorado River Road (Catamount) bridge, May 13, 2021, to September 9, 2021 Model Archive: Simulation of Sediment Transport, Middle Channel of St. Clair River Delta, Michigan Helicopter-based videos collected for the Illinois River Integrated Science basin, Illinois River near Starved Rock study sites, June 7, 2022 Hydrodynamic model output and image simulation code for evaluating image-based river velocimetry from a case study on the Sacramento River near Glenn, California Remotely sensed data from a reach of the Sacramento River near Glenn, California, used to perform Particle Image Velocimetry (PIV) within the Robot Operating System (ROS) Site visit cross section surveys and multispectral image data from gaging stations throughout the Willamette and Delaware River Basins from 2022 and code for Bathymetric Mapping using Gage Records and Image Databases (BaMGRID) Acoustic Doppler Current Profiler (ADCP) field measurements of flow depth and velocity from the Tanana River, Alaska, collected on August 18, 2021 Hydrodynamic model output and image simulation code for evaluating image-based river velocimetry from a case study on the Sacramento River near Glenn, California Model Archive: Simulation of Sediment Transport, Middle Channel of St. Clair River Delta, Michigan Optical measurements collected from the Colorado River, near Lees Ferry, Arizona, September 23, 2019 Remotely sensed bathymetry and field measurements from the Colorado River near Lees Ferry, Arizona, September 23, 2019 Bathymetric survey data from the Deschutes River near Bend, OR, July 25, 2016 Remotely sensed data from a reach of the Sacramento River near Glenn, California, used to perform Particle Image Velocimetry (PIV) within the Robot Operating System (ROS) Geo-referenced orthophotos of the Salcha River, Alaska, acquired July 25, 2019 Bathymetric surveys of the Colorado River upstream from Colorado River Road (Catamount) bridge, May 13, 2021, to September 9, 2021 Satellite video and field measurements of flow velocity acquired from the Tanana River in Alaska and used for particle image velocimetry (PIV) Acoustic Doppler Current Profiler (ADCP) field measurements of flow depth and velocity from the Tanana River, Alaska, collected on August 18, 2021 Geo-referenced orthophotos of the Tanana River, Alaska, acquired July 24, 2019 Videos of the Tanana River, Alaska, acquired from a helicopter on July 24, 2019 Acoustic Doppler Current Profiler (ADCP) field measurements of flow depth and velocity from the Tanana River, Alaska, collected on July 24, 2019 Bathymetric survey of the Green River near Jensen, Utah, March 26-29, 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, spring 2018 Water-surface elevations derived from submersible pressure transducers deployed along the Green River near Jensen, Utah, February-September, 2018 Topographic LiDAR surveys of rivers in Alaska, August 8-9, 2017 Site visit cross section surveys and multispectral image data from gaging stations throughout the Willamette and Delaware River Basins from 2022 and code for Bathymetric Mapping using Gage Records and Image Databases (BaMGRID)