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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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To support research on remote sensing of rivers, hyperspectral image data and supporting field measurements of water depth obtained with a multibeam echosounder were acquired from a segment of the Kootenai River in northern Idaho, September 26 and 27, 2017. These data sets also facilitate efforts to characterize in-stream habitat for sturgeon, understand and model dispersion processes, and monitor geomorphic change along the Kootenai River. This parent data release includes links to child pages for the following data sets: 1) airborne hyperspectral image data acquired from a conventional, manned, fixed-wing aircraft; 2) ground-based depth measurements obtained during a multibeam echosounder survey; and 3) in...
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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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A series of field measurements of surface water velocity derived from video and Doppler velocity radar collected by small unoccupied aircraft systems (sUAS) and portable sensors were collected at seven locations in Colorado, USA, during the summer of 2023. The measurements were utilized to compute surface velocity and discharge using the Probability Concept, Large-Scale Particle Image Velocimetry (LSPIV), and Space-Time Image Velocimetry (STIV) methods. This data release includes the original videos, radar spectra, and ancillary data necessary to produce the surface water velocity and streamflow results. Data are grouped into sections (child items) based on the data type and purpose: Ancillary Scripts: this child...
Tags: Anthracite Creek, Gunnison County, Colorado, United States of America, Aspen, Pitkin County, Colorado, United States of America, Blue River, Summit County, Colorado, United States of America, Colorado River, Garfield County, Colorado, United States of America, Dillon, Summit County, Colorado, United States of America, All tags...
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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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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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The U.S. Geological Survey deployed seven submersible pressure transducers on the bottom of the Salcha River in July 2018. An additional transducer was left out of the water to correct for barometric pressure fluctuations. At the time of deployment, the bank position near each transducer and the water-surface elevation were measured with Global Navigation Satellite System (GNSS) equipment. The transducers recorded a depth measurement every 15-min until the recovery of five of the seven in October. We adjusted the water elevation measured at deployment by the difference between the depth measured at deployment and each subsequent depth measurement to derive the water-surface elevation at 15-min intervals. The data...
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To support an investigation of the feasibility of measuring river bathymetry using remotely sensed data acquired from a small unmanned aircraft system (sUAS), remotely sensed bathymetry and field measurements were collected from two cross-sections on the Colorado River near Parshall, CO on June 13, 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 wading surveys of bed topography used to evaluate the bathymetric mapping capabilities...
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This data release includes field measurements and remotely sensed data from two reaches of the Buffalo National River in northern Arkansas acquired in August and September of 2021 to support research on remote sensing of benthic algae from aerial photographs and satellite images. This landing page has links to child items where each type of data can be accessed: Field measurements of water depth and percent cover of benthic algae acquired August 24-25, 2021. This ground-based data set was used to calibrate spectrally based models for inferring water depths from passive optical image data, assess the accuracy of image-derived depth estimates, and train classifications of benthic algal coverage. Digital aerial photographs...
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Hyperspectral image data from the Niobrara River, a dynamic, sand-bed channel in northern Nebraska, were acquired in November 2012 and again in August 2016 to support research on remote sensing of rivers, particularly retrieval of water depth and tracking of mobile bedforms. These data were collected by the Compact Airborne Spectrographic Imager (CASI) 1500H manufactured by ITRES Research Limited. The data were acquired from fixed wing aircraft and have spatial resolutions (pixel sizes) from 0.5 - 0.6 m. The data consist of a large number of spectral bands spanning the visible and near infrared wavelengths and have been radiometrically corrected. The image pixel values represent spectral radiance units of 1 uW cm-2...
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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...
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To support research on remote sensing of rivers, several types of remotely sensed data and various field measurements were acquired from a reach of the upper Sacramento River in northern California, September 11 - October 18, 2017. These data sets also facilitate efforts to characterize in-stream habitat for salmon and monitor geomorphic change along the Sacramento River. This parent data release includes links to child pages for the following data sets: 1) airborne hyperspectral image data acquired from a conventional, manned, fixed-wing aircraft; 2) hyperspectral image data acquired from an umanned aerial system (UAS); 3) multispectral image data acquired from a satellite; 4) bathymetric LiDAR acquired from...
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A reach of the North Santiam River, Oregon, was used as a case study in an ongoing effort to develop and test image velocimetry algorithms for estimating surface flow velocities in river channels from remotely sensed data. Video was acquired from an unoccupied aircraft system, UAS, and used as input to the image velocimetry algorithms. Direct measurements of flow velocity were obtained using an acoustic Doppler current profiler, ADCP, and used to assess the accuracy of the image velocimetry algorithms. The UAS-based video was acquired from a DJI Matrice 210 quadcopter equipped with a Zenmuse X4S optical camera on July 25, 2022. The video is provided in its native form, with a frame rate of 30 Hertz and an *.mov...
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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 six rivers in Alaska from August 27-September 1, 2018 to support research related to remote sensing of river discharge. Data were acquired for the Knik, Matanuska, Chena, Salcha, Tanana and Snow Rivers using a Riegl VQ-480 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) in GeoTiff format, and compressed binary LAS files (LAZ) for each river surveyed.
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Field measurements of water depth were acquired from a reach of the Colorado River near Lees Ferry, Arizona, March16-18, 2021, to support research on remote sensing of water depth from satellite images. The depth measurements included in this data release were obtained along a series of cross-sections using a SonTek RiverSurveyor M9 acoustic Doppler current profiler (ADCP) deployed from a boat. The spatial location of each measurement was obtained using a differential GPS included as part of the RiverSurveyor M9 ADCP instrument package. The map projection and datum for these data are UTM Zone 12S and WGS84, respectively. The USGS Qrev software program was used to ingest and process the raw ADCP data. The Qrev data...
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This data set includes estimates of aquatic chlorophyll a concentration and reservoir temperature for Blue Mesa Reservoir, CO. A Random Forest modeling approach was trained to model near-surface aquatic chlorophyll a using near-coincident Sentinel-2 satellite imagery and water samples analyzed for chlorophyll a concentration. The trained chlorophyll a model was applied to Sentinel-2 imagery to produce maps of modeled chlorophyll a concentrations at 10 m spatial resolution for May through October for 2016 through 2023. Chlorophyll a concentrations for three sections (basins) of Blue Mesa Reservoir were extracted from the raster data to produce time-series of modeled chlorophyll a concentration summary statistics...
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Bathymetric and topographic surveys were collected along an approximately 47-kilometer reach of the Colorado River beginning at the Pumphouse Recreation site and extending downstream to 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 during several time periods between May 13, 2021, through July 26, 2023, 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 point code. The sonar surveys include point data that are provided as comma-delimited text...
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Hyperspectral image data and various field measurements were acquired from a reach of the Snake River in Grand Teton National Park, WY, August 19-24, 2015, to support research on remote sensing of rivers. This parent data release includes links to child pages for the following data sets: 1) hyperspectral image data; 2) ground-based depth measurements obtained by wading and with with an acoustic Doppler current profiler; 3) reflectance spectra 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 used to develop improved methods of estimating water...
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A USGS Unoccupied Aircraft Systems (UAS) Aquatic Airshow field testing and demonstration event occurred March 20–21, 2018, on the Arkansas River at Parkdale, CO, USA. At the airshow, a group of USGS scientists and technicians gathered to test non-contact sensors for measuring stream discharge using UAS and a sensor mounted on a tag line. Scientists at the event performed a series of tests to measure river discharge with experimental non-contact techniques. USGS scientists and field personnel traditionally conduct a discharge measurement either by wading or working from a boat. Due to the potential danger and high risk to personnel safety, hydrologic measurement work is limited during very high flow events, ice break-up,...
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 from the Niobrara River, Nebraska, November 2012 and August 2016 Hyperspectral image data and field measurements used for bathymetric mapping of the Deschutes River near Bend, OR Hyperspectral image data and field measurements used for bathymetric mapping of the Snake River in Grand Teton National Park, WY Remotely sensed data and field measurements used for bathymetric mapping of the upper Sacramento River in northern California Near-field Remote Sensing of River Velocity, Bathymetry, Floodplain Topography, and Discharge at the Arkansas River at Parkdale, Colorado, USA, March 2018 Hyperspectral image data and multibeam echosounder surveys used for bathymetric mapping of the Kootenai River in northern Idaho, September 26-27, 2017 Topographic LiDAR surveys of rivers in Alaska, August 27-September 1, 2018 Water-surface elevations derived from submersible pressure transducers deployed along the Salcha River, Alaska, July-October 2018 UAS-based remotely sensed data and field measurements of flow depth and velocity from the Blue River, Colorado, October 18, 2018 UAS-based remotely sensed bathymetry and field measurements from the Colorado River, near Parshall Colorado, June 13, 2019 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 depth and optical image sequences acquired from the Salcha River, Alaska, on July 25, 2019 Field measurements of water depth from the Colorado River near Lees Ferry, AZ, March 16-18, 2021 Bathymetric and topographic surveys of the Upper Colorado River, May 13, 2021, to July 26, 2023 Remotely sensed data and field measurements of water depth and percent cover of benthic algae from two reaches of the Buffalo National River in Arkansas acquired in August and September 2021 Remotely sensed and in-situ chlorophyll a and temperature data from Blue Mesa Reservoir, Colorado Video acquired from an Uncrewed Aerial System (UAS) and hydroacoustic measurements of flow velocity obtained along the North Santiam River, Oregon, in July 2022 Unoccupied Aerial System-mounted image velocimetry and Doppler velocity radar data for computation of river velocity and discharge collected at seven locations in Colorado in 2023 Near-field Remote Sensing of River Velocity, Bathymetry, Floodplain Topography, and Discharge at the Arkansas River at Parkdale, Colorado, USA, March 2018 UAS-based remotely sensed bathymetry and field measurements from the Colorado River, near Parshall Colorado, June 13, 2019 UAS-based remotely sensed data and field measurements of flow depth and velocity from the Blue River, Colorado, October 18, 2018 Video acquired from an Uncrewed Aerial System (UAS) and hydroacoustic measurements of flow velocity obtained along the North Santiam River, Oregon, in July 2022 Field measurements of water depth from the Colorado River near Lees Ferry, AZ, March 16-18, 2021 Hyperspectral image data from the Niobrara River, Nebraska, November 2012 and August 2016 Hyperspectral image data and field measurements used for bathymetric mapping of the Snake River in Grand Teton National Park, WY Field measurements of flow depth and optical image sequences acquired from the Salcha River, Alaska, on July 25, 2019 Water-surface elevations derived from submersible pressure transducers deployed along the Salcha River, Alaska, July-October 2018 Remotely sensed data and field measurements used for bathymetric mapping of the upper Sacramento River in northern California Hyperspectral image data and field measurements used for bathymetric mapping of the Deschutes River near Bend, OR Hyperspectral image data and multibeam echosounder surveys used for bathymetric mapping of the Kootenai River in northern Idaho, September 26-27, 2017 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) Unoccupied Aerial System-mounted image velocimetry and Doppler velocity radar data for computation of river velocity and discharge collected at seven locations in Colorado in 2023 ADCP data from rivers in Alaska, September 18–20, 2016 Topographic LiDAR surveys of rivers in Alaska, August 27-September 1, 2018 Field spectra from rivers in Alaska, September 19–21, 2016