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Field measurements of various optical properties of the water column were acquired from a single location on the Kootenai River in northern Idaho, September 26-27, 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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To support research on remote sensing of rivers, specifically estimation of water depth from passive optical image data, hyperspectral image data and supporting depth measurements were collected on the Kootenai River in northern Idaho, September 27, 2017. This data release provides access to hyperspectral image acquired through this project and the supporting field-based measurements of depth and water column optical properties are available through related data releases. The hyperspectral image data were acquired by Quantum Spatial Inc. (QSI) using the ITRES CASI 1500H imaging system deployed from a Cessna Caravan manned aircraft from a flying height of 1000 m above ground level. Initial geometric and radiometric...
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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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Marine geophysical mapping of the Queen Charlotte Fault in the eastern Gulf of Alaska was conducted in 2016 as part of a collaborative effort between the U.S. Geological Survey and the Alaska Department of Fish and Game to understand the morphology and subsurface geology of the entire Queen Charlotte system. The Queen Charlotte fault is the offshore portion of the Queen Charlotte-Fairweather Fault: a major structural feature that extends more than 1,200 kilometers from the Fairweather Range of southern Alaska to northern Vancouver Island, Canada. The data published in this data release were collected along the Queen Charlotte Fault between Cross Sound and Noyes Canyon, offshore southeastern Alaska from May 18 to...
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Marine geophysical mapping of the Queen Charlotte Fault in the eastern Gulf of Alaska was conducted in 2016 as part of a collaborative effort between the U.S. Geological Survey and the Alaska Department of Fish and Game to understand the morphology and subsurface geology of the entire Queen Charlotte system. The Queen Charlotte fault is the offshore portion of the Queen Charlotte-Fairweather Fault: a major structural feature that extends more than 1,200 kilometers from the Fairweather Range of southern Alaska to northern Vancouver Island, Canada. The data published in this data release were collected along the Queen Charlotte Fault between Cross Sound and Noyes Canyon, offshore southeastern Alaska from May 18 to...
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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 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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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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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 Snake River in Grand Teton National Park, WY, August 19-24, 2015, to support research on channel change along the Snake River and, more broadly, remote sensing of rivers. The depth measurements included in this data release were obtained by wading the shallow channel margins and measuring the water depth directly on a top-setting wading rod used to collect flow velocity data with an acoustic Doppler velocimeter (ADV). For the deeper areas representing most of the channel, depths were recorded along a series of cross-sections by a SonTek RiverSurveyor M9 acoustic Doppler current profiler (ADCP) deployed from a kayak with the vertical beam of the...
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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 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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Field spectra were collected from the Deschutes River near Bend, OR, July 26-28, 2016, to support research on remote sensing of river discharge. Reflectance measurements were made from a raft in the reach of the Deschutes River between Benham Falls and Dillon Falls 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 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 from field spectra or passive optical remotely...
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Multispectral satellite images from two reaches of the Buffalo National River in northern Arkansas were acquired between August 6, 2021, and September 15, 2021, to support research on remote sensing of benthic algae. The images included in this data release were obtained by the WorldView3 and Planet SkySat sensors. The original images were cropped to produce smaller subset images focused on each of the two primary study reaches. In addition, the WorldView3 images were geo-referenced and warped to improve alignment with field measurements. This data release includes a comma-delimited (*.csv) text file with a listing of the satellite images with columns: River, Reach, AcquisitionDate, Sensor, PixelSizeMeters, Projection,...
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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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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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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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Hyperspectral image data from the Deschutes River near Bend, OR, were acquired on July 26, 2016 to support research on remote sensing of rivers, particularly retrieval of water depth, and to facilitate efforts to characterize habitat for amphibians, primarily the Oregon Spotted Frog (Rana pretiosa). These data were collected by the Compact Airborne Spectrographic Imager (CASI) 1500H manufactured by ITRES Research Limited. The contractor Quantum Spatial Inc. conducted the flight and ITRES performed the initial radiometric and geometric data processing. The data were acquired from fixed wing aircraft and have a spatial resolution (pixel sizes) from 0.5 m. The data set consists of 42 spectral bands spanning the visible...
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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...
map background search result map search result map 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 Field spectra from the Deschutes River near Bend, OR, July 26-28, 2016 Hyperspectral image data from the Deschutes River near Bend, OR, July 26, 2016 Depth measurements from the Snake River in Grand Teton National Park, WY, August 19-24, 2015 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 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 Hyperspectral image data from the Kootenai River in northern Idaho, September 27, 2017 Field measurements of water column optical properties from the Kootenai River in northern Idaho, September 26-27, 2017, and similar data from several other rivers Wading surveys of bed topography and water depth from the Blue River, Colorado, October 18, 2018 Multibeam bathymetry and backscatter data collected in the eastern Gulf of Alaska during USGS Field Activity 2016-625-FA using a Reson 7160 multibeam echosounder Multibeam bathymetric data collected in the eastern Gulf of Alaska during USGS Field Activity 2016-625-FA using a Reson 7160 multibeam echosounder (10 meter resolution, 32-bit GeoTIFF, UTM 8 WGS 84, WGS 84 Ellipsoid) 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 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 Satellite images of the Buffalo National River in Arkansas acquired in August and September 2021 Multispectral images and field measurements of water depth from the Sacramento River near Glenn, California, acquired September 14-16, 2021 Wading surveys of bed topography and water depth from the Blue River, Colorado, October 18, 2018 Depth measurements from the Snake River in Grand Teton National Park, WY, August 19-24, 2015 Hyperspectral image data from the Niobrara River, Nebraska, November 2012 and August 2016 Hyperspectral image data from the Deschutes River near Bend, OR, July 26, 2016 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 Multispectral images and field measurements of water depth from the Sacramento River near Glenn, California, acquired September 14-16, 2021 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 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 Depth measurements from the upper Sacramento River in northern California, September 11-14, 2017 Field spectra from the Deschutes River near Bend, OR, July 26-28, 2016 Multibeam bathymetry and backscatter data collected in the eastern Gulf of Alaska during USGS Field Activity 2016-625-FA using a Reson 7160 multibeam echosounder Multibeam bathymetric data collected in the eastern Gulf of Alaska during USGS Field Activity 2016-625-FA using a Reson 7160 multibeam echosounder (10 meter resolution, 32-bit GeoTIFF, UTM 8 WGS 84, WGS 84 Ellipsoid)