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 were acquired from a reach of the Illinois River at Marseilles, IL, on June 7, 2022, 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 RiverPro 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 RiverPro instrument package. The map projection and datum for these data are UTM Zone 16 N and WGS84, respectively. This data release consists raw ADCP measurements of flow velocity, channel geometry, and river discharge, provided as raw *.mmt and *.pd0 files; output from Velocity Mapping Toolbox (VMT) for each ADCP cross-section provided as .xlsx files; and spatial coordinates and depth-averaged flow velocity magnitude and direction for each ADCP cross-section provided as a .csv file. This field-based data set was used to assess the accuracy of remotely sensed estimates of surface flow velocity derived from thermal image sequences via PIV.

Field measurements of flow velocity were acquired from a reach of the Illinois River at Marseilles, IL, on June 7, 2022, 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 RiverPro 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 RiverPro instrument package. The map projection and datum for these data are UTM Zone 16 N and WGS84, respectively. This data release consists raw ADCP measurements of flow velocity, channel geometry, and river discharge, provided as raw *.mmt and *.pd0 files; output from Velocity Mapping Toolbox (VMT) for each ADCP cross-section provided as .xlsx files; and spatial coordinates and depth-averaged flow velocity magnitude and direction for each ADCP cross-section provided as a .csv file. This field-based data set was used to assess the accuracy of remotely sensed estimates of surface flow velocity derived from thermal image sequences via PIV.

This data release includes field spectra collected from a boat 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 spectra recorded along a channel cross section as the plume of Rhodamine WT dye passed by. The data consist of reflectance measurements obtained above the water surface over the wavelength range from 400-900 nm. 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.

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.

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 and discharge were acquired from the Middle Channel of the St. Clair River delta, Michigan, May 2-4, 2022. The velocity and discharge measurements included in this data release were obtained using a SonTek M9 acoustic Doppler current profiler (ADCP) deployed from a boat with an outboard motor. River Surveyor Live software version 4.1. was used to acquire and store the ADCP files. The ADCP data were collected along 8 transects spanning the width of the Middle Channel; two passes across the channel were made at each transect. This data release provides text files derived from the raw ADCP data files using the Velocity Mapping Toolbox (VMT) software version 4.09. Text files with projected spatial coordinates, velocity components, and depth-averaged velocity magnitudes, were generated. The spatial location of each measurement was obtained using a Trimble 540AP Global Navigation Satellite System (GNSS) receiver and real time network (RTN). The map projection and datum for these data are UTM Zone 17 N and NAD 83, respectively. This data release consists of a series comma-delimited (*.csv) text files. Each file consists of five columns: UTM_Easting, in meters, UTM_Northing, in meters, EastDAV, in m/s, and NorthDAV, in m/s and Velocity magnitude, in m/s. The first two columns are the easting and northing spatial coordinates, respectively. The third and fourth columns are the easting and northing components of the depth-averaged velocity magnitude in meters per second. The fifth column is the velocity magnitude in meters per second. An additional text file is included that provides the average discharge at the cross-section or mean of the two ADCP passes made at each transect. This field-based data set was used to determine the discharge of the Middle Channel of the St. Clair River delta and to provide depth-averaged velocities to inform hydraulic models.

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 V102 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 individual transects at each cross section. These data were collected in support of the US Army Corps of Engineers Great Lakes and Mississippi River Interbasin Study (GLMRIS), and were concurrent with a dye-tracing study. NOTE: Any data assigned a value of "-9999" are invalid or missing data and should not be used for analysis. Parsons, D. R., Jackson, P. R., Czuba, J. A., Engel, F. L., Rhoads, B. L., Oberg, K. A., Best, J. L., Mueller, D. S., Johnson, K. K. and Riley, J. D. (2013), Velocity Mapping Toolbox (VMT): a processing and visualization suite for moving-vessel ADCP measurements. Earth Surf. Process. Landforms, 38: 1244–1260. doi: 10.1002/esp.3367

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 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.