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Near-bed measurements of water velocity using a Nortek Aquadopp on the Missouri River at Searcys Bend, near Huntsdale, Missouri on September 16, 2021
This dataset includes 3 velocity measurements in 3 locations collected with a Nortek Aquadopp mounted near the bed of the Missouri River in three different locations at Searcys Bend (SB) near Huntsdale, Missouri. The measurements contain near-bed measurements of water velocity. The discharge at the U.S. Geological Survey Streamflow gaging station 06909000 fifteen miles upstream at Boonville, Missouri on September 16, 2021 was 1,291 cubic meters per second.
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Near-bed measurements of water velocity using a Nortek Aquadopp on the Missouri River at Searcys Bend, near Huntsdale, Missouri on September 16, 2021
공공데이터포털
This dataset includes 3 velocity measurements in 3 locations collected with a Nortek Aquadopp mounted near the bed of the Missouri River in three different locations at Searcys Bend (SB) near Huntsdale, Missouri. The measurements contain near-bed measurements of water velocity. The discharge at the U.S. Geological Survey Streamflow gaging station 06909000 fifteen miles upstream at Boonville, Missouri on September 16, 2021 was 1,291 cubic meters per second.
Field measurements of flow velocity acquired during a tracer experiment on the Missouri River near Lexington, MO, on May 11, 2024
공공데이터포털
This data release includes in situ measurements of flow velocity acquired during a tracer experiment performed on the Missouri River near Lexington, Missouri, on May 11, 2024. One of the primary goals of this study was to assess the feasibility of inferring concentrations of a visible dye (Rhodamine WT) in a large, highly turbid natural river channel using data from a Uncrewed Aircraft Systems (UAS)-based hyperspectral imaging system. Previous research on remote sensing of tracer dye concentrations demonstrated the ability to obtain moderately precise concentration estimates from standard red-green-blue (RGB) video and orthophotos and this experiment allowed us to evaluate the hypothesis that more detailed spectral information could enable concentrations to be inferred with greater accuracy and precision. The broader objective motivating tracer studies along the Missouri River is to gain insight regarding the dispersion processes that influence the movement and survival of endangered sturgeon larvae. This data release provides access to a data set obtained to support this experiment: field measurements of flow velocity obtained using an acoustic Doppler current profiler (ADCP) deployed from a boat along two channel cross sections, one above and one below the transect captured by the hyperspectral imaging system. Please refer to the metadata file for further detail about this data set. Overall, these data were used to assess the potential for estimating tracer dye concentrations in turbid rivers from UAS-based hyperspectral image data.
Field measurements of flow velocity acquired during a tracer experiment on the Missouri River near Lexington, MO, on May 11, 2024
공공데이터포털
This data release includes in situ measurements of flow velocity acquired during a tracer experiment performed on the Missouri River near Lexington, Missouri, on May 11, 2024. One of the primary goals of this study was to assess the feasibility of inferring concentrations of a visible dye (Rhodamine WT) in a large, highly turbid natural river channel using data from a Uncrewed Aircraft Systems (UAS)-based hyperspectral imaging system. Previous research on remote sensing of tracer dye concentrations demonstrated the ability to obtain moderately precise concentration estimates from standard red-green-blue (RGB) video and orthophotos and this experiment allowed us to evaluate the hypothesis that more detailed spectral information could enable concentrations to be inferred with greater accuracy and precision. The broader objective motivating tracer studies along the Missouri River is to gain insight regarding the dispersion processes that influence the movement and survival of endangered sturgeon larvae. This data release provides access to a data set obtained to support this experiment: field measurements of flow velocity obtained using an acoustic Doppler current profiler (ADCP) deployed from a boat along two channel cross sections, one above and one below the transect captured by the hyperspectral imaging system. Please refer to the metadata file for further detail about this data set. Overall, these data were used to assess the potential for estimating tracer dye concentrations in turbid rivers from UAS-based hyperspectral image data.
Field measurements of flow velocity from the Tanana River, Alaska, July 24, 2019
공공데이터포털
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 datum for these data are UTM Zone 6 N and NAD 83, respectively. This data release consists of a single comma-delimited (*.csv) text file with four columns: X (m), Y (m), U (m/s), and V (m/s). The first two columns are the easting and northing spatial coordinates, respectively, and the third and fourth columns contain the x and y (east and north) components of the depth-averaged velocity vectors, respectively. The units of the coordinates are meters and the units of the depth-averaged velocities are meters per second. This field-based data set was used to assess the accuracy of remotely sensed estimates of surface flow velocity derived from optical image sequences via PIV.
Field measurements of flow velocity from the Tanana River, Alaska, July 24, 2019
공공데이터포털
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 datum for these data are UTM Zone 6 N and NAD 83, respectively. This data release consists of a single comma-delimited (*.csv) text file with four columns: X (m), Y (m), U (m/s), and V (m/s). The first two columns are the easting and northing spatial coordinates, respectively, and the third and fourth columns contain the x and y (east and north) components of the depth-averaged velocity vectors, respectively. The units of the coordinates are meters and the units of the depth-averaged velocities are meters per second. This field-based data set was used to assess the accuracy of remotely sensed estimates of surface flow velocity derived from satellite video via PIV.
Field measurements of flow velocity from the Tanana River, Alaska, July 24, 2019
공공데이터포털
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 datum for these data are UTM Zone 6 N and NAD 83, respectively. This data release consists of a single comma-delimited (*.csv) text file with four columns: X (m), Y (m), U (m/s), and V (m/s). The first two columns are the easting and northing spatial coordinates, respectively, and the third and fourth columns contain the x and y (east and north) components of the depth-averaged velocity vectors, respectively. The units of the coordinates are meters and the units of the depth-averaged velocities are meters per second. This field-based data set was used to assess the accuracy of remotely sensed estimates of surface flow velocity derived from optical image sequences via PIV.
Boat-based river bathymetry and stream velocity on the upper Willamette River, Oregon, Spring 2015
공공데이터포털
River bathymetry and stream velocity measurements were collected in March 2015 along the upper Willamette River, Oregon, between Eugene and Corvallis. These surveys were collected over a small range of discharges using a real time kinematic global positioning system (RTK-GPS) and acoustic Doppler current profiler (ADCP) on a motorboat while transecting at various cross sections along the river. These datasets were collected for equipment calibration and validation for the National Aeronautics and Space Administration’s (NASA) Surface Water and Ocean Topography (SWOT) satellite mission. This is one of multiple survey datasets that will be released for this effort.
Boat-based river bathymetry and stream velocity on the upper Willamette River, Oregon, Spring 2015
공공데이터포털
River bathymetry and stream velocity measurements were collected in March 2015 along the upper Willamette River, Oregon, between Eugene and Corvallis. These surveys were collected over a small range of discharges using a real time kinematic global positioning system (RTK-GPS) and acoustic Doppler current profiler (ADCP) on a motorboat while transecting at various cross sections along the river. These datasets were collected for equipment calibration and validation for the National Aeronautics and Space Administration’s (NASA) Surface Water and Ocean Topography (SWOT) satellite mission. This is one of multiple survey datasets that will be released for this effort.
Field measurements of flow velocity from the Tanana River, Alaska, July 24, 2019
공공데이터포털
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 datum for these data are UTM Zone 6 N and NAD 83, respectively. This data release consists of a single comma-delimited (*.csv) text file with four columns: X (m), Y (m), U (m/s), and V (m/s). The first two columns are the easting and northing spatial coordinates, respectively, and the third and fourth columns contain the x and y (east and north) components of the depth-averaged velocity vectors, respectively. The units of the coordinates are meters and the units of the depth-averaged velocities are meters per second. This field-based data set was used to assess the accuracy of remotely sensed estimates of surface flow velocity derived from satellite video via PIV.
Measurements of velocity and bathymetry in the Ashtabula River near Ashtabula, Ohio, July 12–14, 2022
공공데이터포털
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 on a boat and collected data as the boat traversed the area along planned survey lines. These survey lines were chosen to measure velocities near engineered flow control structures (root wads/rock vanes/boulder clusters/sills). There was typically one reciprocal pair (two passes) of data collected per line, and survey lines were completed once in the morning and once in the afternoon to try to cover a range of flows. These data were collected to increase understanding of flow patterns around the engineered flow control structures.