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These data were collected using a 1200 kHz TRDI Rio Grande acoustic Doppler current profiler (ADCP) in mode 12 with 25 centimeter bins from a moving boat. The data were georeferenced with a Hemisphere Crescent A100 differential Global Positioning System (GPS) receiver with submeter accuracy. The data have been depth-averaged over the entire measured portion of the water column and temporally averaged over 5-second intervals to reduce noise. These data were collected by the U.S. Geological Survey (USGS) concurrently with environmental DNA (eDNA) sampling in this reach of the Chicago Sanitary and Ship Canal (CSSC) by the U.S. Fish and Wildlife Service (USFWS). Data were processed using the Velocity Mapping Toolbox...
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These data were collected using a 1200 kHz TRDI Rio Grande acoustic Doppler current profiler (ADCP) in mode 12 with 25 centimeter bins from a moving boat. The data were georeferenced with a Hemisphere Crescent A100 differential Global Positioning System (GPS) receiver with submeter accuracy. The data have been layer-averaged over the lower portion of the water column (0 to 4 meters above the bed). These data were collected by the U.S. Geological Survey (USGS) concurrently with environmental DNA (eDNA) sampling in this reach of the Chicago Sanitary and Ship Canal by the U.S. Fish and Wildlife Service (USFWS). Data were processed using the Velocity Mapping Toolbox (Parsons and others, 2013). NOTE: Any data assigned...
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ADCP data were collected on November 4, 2015 at the confluence of the Illinois River and Fox River near Ottawa, IL using a Teledyne Rio Grande 1200 kHz Acoustic Doppler Current Profiler with integrated Trimble Ag162 GPS. ADCP data was collected in reciprocal pairs along cross-sections. The data are provided in: (1) a zipped folder containing classic ascii output files exported from WinRiverII software, and a README text file indicating which files are reciprocal pairs (2) a zipped folder containing KML files for each transect.
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ADCP data were collected on two separate occasions (May 14-15, 2013 and May 28, 2013) in the Marseilles Pool on the Illinois River using a Teledyne Rio Grande 1200 kHz Acoustic Doppler Current Profiler with integrated Trimble GPS. ADCP data was collected in reciprocal pairs along cross-sections and along roughly streamwise oriented lines between cross-sections. The data are provided in: (1) a zipped folder containing classic ascii output files exported from WinRiverII software, and a README text file indicating which files are reciprocal pairs, and which files are streamwise oriented lines (2) a zipped folder containing KML files for each transect.
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This dataset contains data collected during science flights using the drone-based QCam, which is a Doppler (velocity) radar designed to measure surface velocity and compute river discharge when channel bathymetry is known. Five science flights were conducted on four rivers including the Arkansas and South Platte Rivers in Colorado and the Salcha and Tanana Rivers in Alaska. Data are presented in a comma separated values (CSV) file.
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These data are depth-averaged velocities measured by an acoustic Doppler current profiler (ADCP), as well as continuous depth-averaged velocities from a stationary location measured with an acoustic Doppler velocity meter (ADVM). These data were collected from the July 12-14, 2022, survey of the Ashtabula River near Ashtabula, Ohio. The location of the ADCP data are from approximately 1,500 feet upstream from the Bridge Street bridge to 3,000 feet upstream from the Bridge Street bridge. The ADVM data are from approximately 41° 53' 46.4"N, 80° 47' 39.5"W. ADCP data were collected using an integrated global navigation satellite system (GNSS) smart antenna with submeter accuracy. The ADCP and GNSS antenna were mounted...
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Water velocities were measured in the Calumet Harbor for 5 dates in 2015 and 2016 using Teledyne Rio Grande 600 kHz acoustic Doppler current profilers (ADCP). The data were georeferenced with differential Dlobal Positioning System (GPS) receivers with submeter accuracy. These velocity data were collected in cooperation with the US Army Corps of Engineers, Chicago District. ADCP data were collected on the following dates and for the following purposes: May 12, 2015: Water velocities in the Calumet Harbor and Calumet River. Unsteady discharges in the Calumet River mouth. September 9, 2015: Water velocities in the Calumet Harbor and Calumet River mouth. October 5, 2015: Water velocities in the Calumet Harbor and Calumet...
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These data were collected using a 600 kHz TRDI Rio Grande acoustic Doppler current profiler (ADCP) in mode 12 with 50 centimeter bins from a moving boat. The data were georeferenced with a Trimble Ag132 differential Global Positioning System (GPS) receiver with submeter accuracy. The data have been depth-averaged over the entire measured portion of the water column and temporally averaged over 5-second intervals to reduce noise. These data were collected during water-quality surveys of the right bank of the Chicago Sanitary and Ship Canal (CSSC) and include low-velocity regions of the canal such as barge slips in addition to the main channel. Data were processed using the Velocity Mapping Toolbox (Parsons and others,...
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ADCP data were collected on July 31-August 1, 2013 in the Dresden Island Pool on the Des Plaines River using a Teledyne Rio Grande 1200 kHz Acoustic Doppler Current Profiler with integrated Trimble Ag162 GPS. On July 31-August 1, 2013 the Des Plaines River discharge also was approximately 2,000-3,000 cfs. ADCP data was collected in reciprocal pairs along cross-sections and along roughly streamwise oriented lines between cross-sections. The data are provided in: (1) a zipped folder containing classic ascii output files exported from WinRiverII software, and a README text file indicating which files are reciprocal pairs, and which files are streamwise oriented lines (2) a zipped folder containing KML files for each...
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The U.S. Geological Survey (USGS) is actively investigating the use of innovative remote-sensing techniques to estimate surface velocity and discharge of rivers in ungaged basins and river reaches that lack the infrastructure to install conventional streamgaging equipment. By coupling discharge algorithms and sensors capable of measuring surface velocity, streamgage networks can be established in regions where data collection was previously impractical or impossible. One of the remote-sensing techniques uses a Doppler (velocity) radar (QCam) mounted and integrated on a small unmanned aircraft system (sUAS or drone). QCam measures the along-track surface velocity by spot dwelling in a river cross section at a vertical...
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The Bathymetry surface was created by plotting depths of all data points collected relative to North American Vertical Datum of 1988 (NAVD 88), which was converted using the Vertical Datum Transformation tool created by the National Oceanic and Atmospheric Administration's (NOAA) National Geodetic Survey, Office of Coast Survey, and Center for Operation Oceanographic Products and Services. The elevation of the bathymetric raster surface was interpolated between these points in a GIS using a spline interpolator. A total of 432 points were used for interpolation. The points were used as the input to create a polygon feature class. The Spline tool was applied using the points and polygon to interpolate the bathymetric...
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This dataset includes vertical velocity profiles and river discharge at the cross section of interest where velocity measurements were taken on the Arkansas and South Platte Rivers in Colorado and the Salcha and Tanana Rivers in Alaska. Each profile contains measurements from at least six depths across the cross section in order to have a full two-dimensional cross-section velocity profile across the river. Each profile contains measurements at various depths at the y-axis, which is the vertical in the cross-sectional profile where the maximum velocity (umax) occurs.These measurements were taken using a Flowtracker2 instrument (SonTek, 2020) when wading was possible; if wading was not possible, measurements were...
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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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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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Uncertainty of satellite discharge estimates is affected by choice of satellite sensor, hydraulic variable for observation, and discharge estimation algorithm, as well as the availability of ground-calibration data. Site selection is very important for reducing error and uncertainty in both conventional and satellite-based discharge measurements because geomorphic river characteristics have strong control over the relationships between discharge and depth, width, slope, and velocity. A ground-truth data set of 8,445 conventional hydraulic measurements, collected by acoustic Doppler current profilers (ADCP) at 503 stations in the United States was developed to examine correlation between river discharge and river...
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Data collected during the May 14th 2015 ADCP survey were processed using a Geographic Information System for interpolation and display. The shapefile available for download depicts ADCP data points collected on May 14, 2015. Parameters include depth, velocity, and discharge collected at 1 second intervals. Ebb data points were collected during outgoing tide.
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These data were collected using a 1200 kHz TRDI Rio Grande acoustic Doppler current profiler (ADCP) in mode 12 with 25 centimeter bins from a moving boat. The data were georeferenced with a Hemisphere Crescent A100 differential Global Positioning System (GPS) receiver with submeter accuracy. The data were processed in the Velocity Mapping Toolbox (Parsons and others, 2013) to obtain a mean velocity field for each cross section from four individual transects at each cross section. These data were collected by the U.S. Geological Survey (USGS) concurrently with environmental DNA (eDNA) sampling in this reach of the Chicago Sanitary and Ship Canal (CSSC) by the U.S. Fish and Wildlife Service (USFWS). NOTE: Any data...
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Boat-mounted acoustic doppler current profilers (ADCPs) were used to collect velocity data on the Columbia River in a small area near Northport, WA. Velocity surveys were collected during two surveys at high-flow, high-stage conditions in May 2018. Bathymetric data were also collected during one of the surveys using a single-beam echo-sounder. The datasets here provide 1) raw ADCP and single-beam survey data, 2) processed summaries of the data, primarily in geospatial data formats, and 3) summary visualizations of transect-averaged velocity and depth characteristics of the surveyed reach.
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Data collected during the May 14th 2015 ADCP survey were processed using a Geographic Information System for interpolation and display. The shapefile available for download depicts ADCP data points collected on May 14, 2015. Parameters include depth, velocity, and discharge collected at 1 second intervals. Flood data points were collected during incoming tide.
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This dataset contains survey data including wading and real-time kinematic (RTK) Global Positioning System (GPS) of water surface elevation and channel bed topography at cross section 5 (xs5) on March 20, 2018, which is adjacent to the U.S. Geological Survey (USGS) streamgage at Arkansas River at Parkdale, Colorado (USGS 07094500). The RTK Global Navigation Satellite System (GNSS) surveys were performed using a local base station associated with the streamgage and Trimble R8 and R10 receivers while wading the channel at cross section 5. The survey data were postprocessed by performing the National Oceanic and Atmospheric Administration Online Positioning User Service (OPUS) correction of the static observations...


map background search result map search result map Velocity Mapping in the Dresden Pool of the Des Plaines River with ADCP Velocity Mapping in the Marseilles Pool of the Illinois River with ADCP Velocity Mapping at the confluence of the Illinois River and Fox River near Ottawa, IL Spatial distribution of depth-averaged velocity measured in the Chicago Sanitary and Ship Canal, Chicago, IL (March 2-3, 2010) Spatial distribution of depth-averaged velocity measured in the Chicago Sanitary and Ship Canal, Chicago, IL (December 7, 2010) Spatial distribution of layer-averaged velocity (0-4 m above the bed) measured in the ACL slip on the Chicago Sanitary and Ship Canal near Lemont, IL (December 7, 2010) Survey of velocity at cross sections in the Chicago Sanitary and Ship Canal near Sag Junction, Chicago, IL (December 7, 2010) Acoustic Doppler current profiler velocity data collected during 2015 and 2016 in the Calumet Harbor, Illinois ADCP Shapefile - Flood ADCP Shapefile - Ebb Bathymetry Contours Velocity and Bathymetry Surveys of the Columbia River near Northport, Washington, May 2018 Drone- and ground-based measurements of velocity, depth, and discharge collected during 2017-18 at the Arkansas and South Platte Rivers in Colorado and the Salcha and Tanana Rivers in Alaska, USA Wading survey of bed topography, gage height, and cross-sectional area for the Arkansas River near Parkdale, Colorado Surface velocity data acquired from QCam (drone-based Doppler velocity radar) for the Arkansas and South Platte Rivers in Colorado and the Salcha and Tanana Rivers in Alaska Velocity profiles and river discharge for cross sections on the Arkansas and South Platte Rivers in Colorado and the Salcha and Tanana Rivers in Alaska Selected Inputs of Siting Considerations for Satellite Observation of River Discharge Measurements of velocity and bathymetry in the Ashtabula River near Ashtabula, Ohio, July 12–14, 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) ADCP Shapefile - Ebb ADCP Shapefile - Flood Measurements of velocity and bathymetry in the Ashtabula River near Ashtabula, Ohio, July 12–14, 2022 Velocity and Bathymetry Surveys of the Columbia River near Northport, Washington, May 2018 Bathymetry Contours Wading survey of bed topography, gage height, and cross-sectional area for the Arkansas River near Parkdale, Colorado Hydrodynamic model output and image simulation code for evaluating image-based river velocimetry from a case study on the Sacramento River near Glenn, California Velocity Mapping at the confluence of the Illinois River and Fox River near Ottawa, IL 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) Acoustic Doppler current profiler velocity data collected during 2015 and 2016 in the Calumet Harbor, Illinois Velocity Mapping in the Dresden Pool of the Des Plaines River with ADCP Spatial distribution of depth-averaged velocity measured in the Chicago Sanitary and Ship Canal, Chicago, IL (December 7, 2010) Surface velocity data acquired from QCam (drone-based Doppler velocity radar) for the Arkansas and South Platte Rivers in Colorado and the Salcha and Tanana Rivers in Alaska Velocity profiles and river discharge for cross sections on the Arkansas and South Platte Rivers in Colorado and the Salcha and Tanana Rivers in Alaska Drone- and ground-based measurements of velocity, depth, and discharge collected during 2017-18 at the Arkansas and South Platte Rivers in Colorado and the Salcha and Tanana Rivers in Alaska, USA Selected Inputs of Siting Considerations for Satellite Observation of River Discharge