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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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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 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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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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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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The U.S. Geological Survey collected thermal image time series from five rivers in Alaska September 18–20, 2016, to support research on remote sensing of river discharge. The image time series were acquired from bridges across the Knik, Matanuska, Chena, and Salcha Rivers and Montana Creek using a FLIR SC8340 mid-infrared (3–5 microns) camera operated at a rate of 10 frames/second. The original FLIR *.ast format video 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,...
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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...
    map background search result map search result map Field spectra from rivers in Alaska, September 19–21, 2016 Thermal image time series from rivers in Alaska, September 18–20, 2016 ADCP data from rivers in Alaska, September 18–20, 2016 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 Bathymetric LiDAR data from the upper Sacramento River in northern California, September 10-17, 2017 UAS-based hyperspectral image data from the upper Sacramento River in northern California, September 13, 2017 Airborne hyperspectral image data from the upper Sacramento River in northern California, September 14, 2017 Bathymetric LiDAR data from the upper Sacramento River in northern California, September 10-17, 2017 Multispectral satellite image data from the upper Sacramento River in northern California, October 18, 2017 Thermal image time series from rivers in Alaska, September 18–20, 2016 ADCP data from rivers in Alaska, September 18–20, 2016 Field spectra from rivers in Alaska, September 19–21, 2016