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This data release consists of orthophotographs of the Snow River in Alaska acquired on September 1, 2018. The orthophotographs 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 Snow 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...
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The U.S. Geological Survey obtained measurements of channel geometry, flow velocity, and river discharge from five rivers in Alaska September 18–20, 2016, to support research on remote sensing of river discharge. The streamflow data were acquired from the Knik, Matanuska, Chena, and Salcha Rivers and Montana Creek using TeleDyne RD Instruments Acoustic Doppler Current Profilers (ADCPs), including the RioPro, StreamPro, and RiverRay models. The original *.mmt and *.pd0 format 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...
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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. Photogrammetry techniques were used with the natural color video images to produce an orthomosaic map of the study reach.
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This model archive contains the data and software application necessary to simulate two-dimensional hydraulic parameters along a 1.6 kilometer study reach of the Sacramento River near Glenn, California. The iRIC modeling system and the NAYS2DH solver were used to simulate three river flows (90, 191, and 255 cubic meters per second) and provide spatially distributed depths, velocities, and water-surface elevations along the study reach. The archive is split into child-items to help distinguish the individual components of the archive and make downloading of large files more manageable. The first child item in the archive is the hydraulic model software application. The second child item includes the topographic data...
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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 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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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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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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A Bell 407 helicopter with a gyro-stabilized gimbal was used to collect aerial videos of Delaware River Water Science basin riverine study sites on August 18 and 19, 2022. Videos were collected during two flights on August 18, 2022 and one flight on August 19, 2022 and focused on study sites along the West Branch of the Delaware River near Stilesville, N.Y. Photogrammetry techniques were used with the natural color video images to produce an orthomosaic map of the study reach.
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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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Bathymetric and topographic surveys were collected along an approximately 23-kilometer reach of the Colorado River between the Pumphouse Recreation Site and CO-131 (State Bridge) from August 1-3, 2022. The surveys were collected using real-time kinematic Global Navigation Satellite System (GNSS) receivers by USGS personnel using a combination of sonar and wading techniques. The wading survey includes point data that are provided as a comma-delimited text file 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 data are referenced horizontally to the North...
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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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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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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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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...
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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 just upstream of its confluence with the 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. This data release includes data delivered to the USGS by...
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To suport an investigation of the feasibility of measuring river discharge using remotely sensed data acquired from an unmanned aircraft system (UAS), several types of remotely sensed data and field measurements were collected from two cross-sections on the Blue River in Colorado, just upstream of its confluence with the upper Colorado River, on October 18, 2018. 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) Thermal image time series used to...


map background search result map search result map Field spectra from rivers in Alaska, September 19–21, 2016 ADCP data from rivers in Alaska, September 18–20, 2016 Hyperspectral image data and field measurements used for bathymetric mapping of the Deschutes River near Bend, OR UAS-based remotely sensed data and field measurements of flow depth and velocity from the Blue River, Colorado, October 18, 2018 Bathymetric lidar data from the Blue River, Colorado, October 18, 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 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 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 Geo-referenced orthophotographs of the Snow River, Alaska, acquired September 1, 2018 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 Bathymetric surveys of the Colorado River between Pumphouse Recreation Site and CO-131 State Bridge, August 1-3, 2022 Model Archive: Two-dimensional flow simulations of the Sacramento River near Glenn, California Orthomosaic map produced for the Delaware River Integrated Water Science basin, West Branch of the Delaware River near the Stilesville study site, August 18-19, 2022 Orthomosaic map produced for the Illinois River Integrated Science basin, Illinois River near Starved Rock study sites, June 7, 2022 UAS-based remotely sensed data and field measurements of flow depth and velocity from the Blue River, Colorado, October 18, 2018 Bathymetric lidar data 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 Wading surveys of bed topography and water depth from the Blue River, Colorado, October 18, 2018 Model Archive: Two-dimensional flow simulations of the Sacramento River near Glenn, California 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 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 Orthomosaic map produced for the Delaware River Integrated Water Science basin, West Branch of the Delaware River near the Stilesville study site, August 18-19, 2022 Field measurements of flow velocity from the Salcha River, Alaska, August 31, 2018 Geo-referenced orthophotographs of the Snow River, Alaska, acquired September 1, 2018 High frame rate image sequence from the Tanana River, Alaska, July 24, 2019, for Particle Image Velocimetry Orthomosaic map produced for the Illinois River Integrated Science basin, Illinois River near Starved Rock study sites, June 7, 2022 Bathymetric surveys of the Colorado River between Pumphouse Recreation Site and CO-131 State Bridge, August 1-3, 2022 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) ADCP data from rivers in Alaska, September 18–20, 2016 Field spectra from rivers in Alaska, September 19–21, 2016