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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 multispectral images and field measurements of water depth from the Sacramento River near Glenn, California, used to evaluate the potential for efficient reach-scale mapping of river bathymetry using Uncrewed Aircraft Systems (UAS). The images were acquired by a MicaSense RedEdge-MX Dual Camera deployed from a Trinity F90 vertical take-off and landing (VTOL) UAS. The 4 km long study area along the Sacramento River was subdivided into three distinct but adjacent areas of interest (AOIs) and image data were collected from one AOI each day between September 14 and 16, 2021. The image data were ortho-rectified using Quantum-Systems QBase 3D and Agisoft Metashape software and saved as GeoTIFF...
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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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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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Field measurements of water depth were acquired from a reach of the upper Sacramento River in northern California, September 12-14, 2017, to support research on salmon habitat and geomorphic change along the Sacramento River and, more broadly, remote sensing of rivers. The depth measurements included in this data release were obtained by wading the shallow channel margins with RTK GPS receivers and measuring water surface elevations along the water's edge and bed elevations within the channel; depths were calculated by subtracting bed elevations from the nearest water surface elevation. For the deeper areas representing most of the channel, depths were recorded along a series of cross-sections by a SonTek RiverSurveyor...
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Field measurements of various optical properties of the water column were acquired from a reach of the upper Sacramento River in northern California, September 13, 2017, to support research on remote sensing of rivers, particularly estimation of water depth from passive optical image data. The field measurements included in this data release include several parameters measured with three different instruments. A WetLabs EcoTriplet multi-probe was used to measure the volume scattering coefficient (Beta) at 700 nm, the back-scattering coefficient (b_b) at 700 nm, chlorophyll concentration, colored dissolved organic matter (CDOM) concentration, and turbidity. A Sequoia Scientific LISST-100X was used to measure the...
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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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Bathymetric LiDAR data from the upper Sacramento River in northern California were acquired September 10-17, 2017, to support research on remote sensing of rivers, particularly mapping water depth, and to facilitate efforts to characterize salmon habitat conditions and geomorphic change along the upper Sacramento River. These data were collected using a Riefl VQ-880-Gairborne laser scanning system designed for combined hydrographic and topographic surveying. The flight was conducted by Quantum Spatial, Inc. (QSI); QSI also performed all processing of the raw LiDAR data. The data were acquired from fixed wing aircraft and were used to produce tiled point clouds in a .las format and interpolated topo-bathymetric...
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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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Multispectral satellite image data from the upper Sacramento River in northern California were acquired on October 18, 2017, to support research on remote sensing of rivers, particularly retrieval of water depth, and to facilitate efforts to characterize salmon habitat conditions and geomorphic change along the upper Sacramento River. These data were collected by the WorldView-3 (WV3) satellite, operated by DigitalGlobe and obtained through the EnhancedView license program administered by the National Geospatial-Intelligence Agency (NGA); the image data remain copyright of DigitalGlobe (2018). DigitalGlobe performed initial radiometric and geometric processing of the image. The data were acquired from the WorldView-3...
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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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This data release includes videos acquired from a helicopter and field measurements of flow depth and velocity from the Tanana River near Nenana, Alaska, obtained on July 24, 2019. 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 depth and velocity from the Tanana River, Alaska, collected on July 24, 2019. 2. Videos of the Tanana River, Alaska, acquired from a helicopter on July 24, 2019. Please refer to the individual child pages for further detail about each data set. Overall, these data were used to assess the potential to estimate surface flow velocities and water depths in sediment-laden...
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An unmanned aerial system was used to acquire hyperspectral image data from the upper Sacramento River in northern California on September 13, 2017, to support research on remote sensing of rivers, particularly retrieval of water depth, and to facilitate efforts to characterize salmon habitat conditions and geomorphic change along the upper Sacramento River. These data were collected by the Nano-Hyperspec imaging system, manufactured by Headwall Photonics, Inc. The flight was conducted by Headwall Photonics, Inc.; Headwall also performed the initial radiometric and geometric data processing. The data were acquired from a DJI Matrice M600 UAS and have a spatial resolution (pixel size) of 0.178 m. The data set consists...
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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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This data release includes cross section survey data collected during site visits to USGS gaging stations located throughout the Willamette and Delaware River Basins and multispectral images of these locations acquired as close in time as possible to the date of each site visit. In addition, MATLAB source code developed for the Bathymetric Mapping using Gage Records and Image Databases (BaMGRID) framework is also provided. The site visit data were obtained from the Aquarius Time Series database, part of the USGS National Water Information System (NWIS), using the Publish Application Programming Interface (API). More specifically, a custom MATLAB function was used to query the FieldVisitDataByLocationServiceRequest...
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Airborne hyperspectral image data from the upper Sacramento River in northern California were acquired on September 14, 2017 to support research on remote sensing of rivers, particularly retrieval of water depth, and to facilitate efforts to characterize salmon habitat conditions and geomorphic change along the upper Sacramento River. These data were collected by the Compact Airborne Spectrographic Imager (CASI) 1500H, manufactured by ITRES Research Limited. The flight was conducted by Quantum Spatial, Inc. (QSI); QSI also performed the initial radiometric and geometric data processing. The data were acquired from fixed wing aircraft and have a spatial resolution (pixel sizes) of 0.5 m. The data set consists of...
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This U.S. Geological Survey (USGS) Data Release provides high resolution water temperature data collected at a long-term monitoring site in Dexter Reservoir, Oregon, USA, May 29 to July 20, 2014. All data are reported as raw measured values in degrees Celsius (°C) and are not rounded to USGS significant figures. A distributed temperature sensing cable was used for high resolution measurement of water temperatures throughout the water column at the long-term monitoring site, which has persistent summer cyanobacterial blooms.
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Field measurements of water depth were collected from the Niobrara River, a dynamic, sand-bed channel in northern Nebraska, 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 obtained by conducting topographic surveys with Trimble R8 and R10 RTK GPS receivers with a local base station and also by measuring depths with a SonTek RiverSurveyor S5 acoustic Doppler current profiler (ADCP). The data are provided in a series of tables saved as *.csv files. All tables include, at a minimum, easting and northing spatial coordinates and depths; other attributes in some of the tables include descriptive...
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Field spectra were collected from a reach of the upper Sacramento River in northern California, September 11-14, 2017, to support research on remote sensing of rivers. Reflectance measurements were made from a boat near the confluence of Cottonwood Creek with the Sacramento River using an Analytical Spectral Devices FieldSpec3 spectroradiometer operated in reflectance mode. The depth at each spectral measurement location was interpolated from field measurements of depth obtained with an acoustic Doppler current profiler and an echo sounder. This data release provides both the reflectance spectra and the interpolated depths and can be used to develop relationships between depth and reflectance for mapping river bathymetry...
    map background search result map search result map High resolution water temperature data for Dexter Reservoir, Oregon, USA, May 29 to July 20, 2014 Hyperspectral image data from the Niobrara River, Nebraska, November 2012 and August 2016 Field-based bathymetric surveys of 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 Depth measurements from the upper Sacramento River in northern California, September 11-14, 2017 Remotely sensed data and field measurements used for bathymetric mapping of the upper Sacramento River in northern California Field spectra from the upper Sacramento River in northern California, September 11-14, 2017 Airborne hyperspectral image data from the upper Sacramento River in northern California, September 14, 2017 UAS-based hyperspectral image data from the upper Sacramento River in northern California, September 13, 2017 Multispectral satellite image data from the upper Sacramento River in northern California, October 18, 2017 Field measurements of water column optical properties from the upper Sacramento River in northern California, September 13, 2017, and similar data from several other rivers Bathymetric LiDAR data from the upper Sacramento River in northern California, September 10-17, 2017 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 depth and optical image sequences acquired from the Salcha River, Alaska, on July 25, 2019 Helicopter-based videos and field measurements of flow depth and velocity from the Tanana River, Alaska, acquired on July 24, 2019 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 Selected Inputs of Siting Considerations for Satellite Observation of River Discharge Multispectral images and field measurements of water depth from the Sacramento River near Glenn, California, acquired September 14-16, 2021 Site visit cross section surveys and multispectral image data from gaging stations throughout the Willamette and Delaware River Basins from 2022 and code for Bathymetric Mapping using Gage Records and Image Databases (BaMGRID) Field-based bathymetric surveys of the Niobrara River, Nebraska, November 2012 and August 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 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 Multispectral images and field measurements of water depth from the Sacramento River near Glenn, California, acquired September 14-16, 2021 UAS-based hyperspectral image data from the upper Sacramento River in northern California, September 13, 2017 Field measurements of water column optical properties from the upper Sacramento River in northern California, September 13, 2017, and similar data from several other rivers Remotely sensed data and field measurements used for bathymetric mapping of the upper Sacramento River in northern California Airborne hyperspectral image data from the upper Sacramento River in northern California, September 14, 2017 Hyperspectral image data and field measurements used for bathymetric mapping of the Deschutes River near Bend, OR Bathymetric LiDAR data from the upper Sacramento River in northern California, September 10-17, 2017 Field spectra from the upper Sacramento River in northern California, September 11-14, 2017 Depth measurements from the upper Sacramento River in northern California, September 11-14, 2017 Multispectral satellite image data from the upper Sacramento River in northern California, October 18, 2017 Hyperspectral image data and multibeam echosounder surveys used for bathymetric mapping of the Kootenai River in northern Idaho, September 26-27, 2017 Helicopter-based videos and field measurements of flow depth and velocity from the Tanana River, Alaska, acquired on July 24, 2019 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 High resolution water temperature data for Dexter Reservoir, Oregon, USA, May 29 to July 20, 2014 Site visit cross section surveys and multispectral image data from gaging stations throughout the Willamette and Delaware River Basins from 2022 and code for Bathymetric Mapping using Gage Records and Image Databases (BaMGRID) Selected Inputs of Siting Considerations for Satellite Observation of River Discharge