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Depth measurements from the upper Sacramento River in northern California, September 11-14, 2017
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 S5 acoustic Doppler current profiler (ADCP) and an Ohmex SonarMite echo sounder, both deployed from a jet boat. The spatial location of each measurement was obtained via GPS receivers: Trimble R8 and R10 RTK rovers for the wading and echo sounder measurements and a differential GPS included as part of the RiverSurveyor S5 ADCP instrument package. The map projection and datum for these data are UTM Zone 10 N and NAD83, respectively. The wading-, echo sounder-, and ADCP-based depth measurements were cross-calibrated to one another and are combined for the purposes of this data release, which consists of a comma-delimited (*.csv) text file with three columns: East_m, North_m, and Depth_m; the units of the spatial coordinates and the depths are meters. This ground-based data set played a critical role in developing improved methods for mapping river bathymetry from remotely sensed data.
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Water depth and velocity in the lower San Joaquin River, California, April 2013.
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Water depth and depth-averaged velocity in the lower San Joaquin River, California. These data were collected using a RD Instruments Acoustic Doppler Current Profiler (ADCP) April 2013.
Water depth and velocity in the lower San Joaquin River, California, April 2013.
공공데이터포털
Water depth and depth-averaged velocity in the lower San Joaquin River, California. These data were collected using a RD Instruments Acoustic Doppler Current Profiler (ADCP) April 2013.
Multispectral satellite image data from the upper Sacramento River in northern California, October 18, 2017
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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 satellite from an orbit with an altitude of 617 km and have a spatial resolution (pixel size) of 1.36 m. The data set consists of 8 spectral bands spanning the visible and near infrared wavelength range from 400-954 nanometers. The image pixel values represent raw digital counts and conversion to radiance, atmospheric correction, and reflectance retrieval have not been performed for the image included in this data release. The image is in a GeoTIFF format with pixel values stored as 16-bit unsigned integers. The image provided in this data release is a subset focused on the reach of the Sacramento River where it is joined by its tributary Cottonwood Creek. Supporting field data from this reach were collected in coordination with the acquisition of the remotely sensed data.
Water depth and velocity in the lower San Joaquin River, California, July 19-21, 2011.
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Water depth and depth-averaged water velocity in the lower San Joaquin River, California, collected generally between Laird Park and the USGS streamgage near Vernalis. These data were collected using a SonTek M9 Acoustic Doppler Current Profiler (ADCP) July 19-21, 2011.
Water depth and velocity in the lower San Joaquin River, California, 2014.
공공데이터포털
Water depth and depth-averaged velocity in the lower San Joaquin River, California. These data were collected using a SonTek M9 Acoustic Doppler Current Profiler (ADCP) 2014.
Water depth and velocity in the lower San Joaquin River, California, 2014.
공공데이터포털
Water depth and depth-averaged velocity in the lower San Joaquin River, California. These data were collected using a SonTek M9 Acoustic Doppler Current Profiler (ADCP) 2014.
Water depth and velocity in the lower San Joaquin River, California, 2014.
공공데이터포털
Water depth and depth-averaged velocity in the lower San Joaquin River, California. These data were collected using a SonTek M9 Acoustic Doppler Current Profiler (ADCP) 2014.
Acoustic-backscatter data from three locations in the Sacramento-San Joaquin Delta, California, 2017 to 2018
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This part of the data release contains high-resolution acoustic-backscatter data collected by the U.S. Geological Survey (USGS) Pacific Coastal and Marine Science Center at three study locations in the Sacramento-San Joaquin Delta, California. Data were collected in Lindsey Slough in April 2017, Middle River in March 2018, and Mokelumne River in March 2018, using an interferometric bathymetric sidescan sonar systems mounted to the USGS R/V Parke Snavely. Data are provided in 1-m resolution GeoTIFF formats. These data were collected as part of a study of the effects of invasive aquatic vegetation on sediment transport in the Sacramento-San Joaquin Delta.
Acoustic-backscatter data from three locations in the Sacramento-San Joaquin Delta, California, 2017 to 2018
공공데이터포털
This part of the data release contains high-resolution acoustic-backscatter data collected by the U.S. Geological Survey (USGS) Pacific Coastal and Marine Science Center at three study locations in the Sacramento-San Joaquin Delta, California. Data were collected in Lindsey Slough in April 2017, Middle River in March 2018, and Mokelumne River in March 2018, using an interferometric bathymetric sidescan sonar systems mounted to the USGS R/V Parke Snavely. Data are provided in 1-m resolution GeoTIFF formats. These data were collected as part of a study of the effects of invasive aquatic vegetation on sediment transport in the Sacramento-San Joaquin Delta.
Bathymetric LiDAR data from the upper Sacramento River in northern California, September 10-17, 2017
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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 raster Digital Elevation Models (DEM's) with a 1 m cell size in an Arc GRID format. The rasters provided in this data release are subsets focused on the reach of the Sacramento River where it is joined by its tributary Cottonwood Creek; supporting field data from this reach were collected in coordination with the acquisition of the remotely sensed data. Three files based on the LiDAR coverage are included in this data release: 1) a topographic DEM with water surface elevations in the channel; 2) a bathymetric DEM with channel bed elevations; and 3) a depth map produced by subtracting the bathymetric DEM from the topographic DEM to calculate the depth as the difference between the water surface elevation and the bed elevation. These data sets are provided as ENVI format files with associated header files.