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The dataset consists of a shapefile of measurements of surface velocity magnitude and direction at the Colorado River at Compact Point near Lees Ferry, AZ, on March 18, 2021. The dataset contains approximately 1.2 km of river length. The surface velocity measurements were made by applying Large-Scale Particle Image Velocimetry (LSPIV) techniques, using overlapping videos collected by small Unmanned Aircraft Systems (sUAS). Total time to capture all videos was less than one hour, and all frames (except frame 1, see Process Steps below) from all videos were used. Additional attributes, including divergence, curl, shear, and strain, were calculated from the surface velocity measurements and are included in the dataset.
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The dataset consists of a shapefile of measurements of surface velocity magnitude and direction at the Colorado River at Salt Wash near Moab, UT, on October 7, 2020. The dataset contains approximately 3 km of river length. The surface velocity measurements were made by applying Large-Scale Particle Image Velocimetry (LSPIV) techniques, using overlapping videos collected by small Unmanned Aircraft Systems (sUAS). Additional attributes were calculated from the surface velocity measurements and are included in the dataset.
Aerial images in the vicinity of USGS gaging station #07094500 Arkansas River at Parkdale, Colorado were collected on March 20-22, 2018, using Unmanned Aircraft Systems (UAS, or "drones"). Data were processed using structure-from-motion analysis to generate a three-dimensional point cloud that identifies pixels from multiple images representing the same object and calculates the x, y, and z coordinates of that object/pixel. The point cloud was processed to create a digital surface model of the site. Finally, source images were stitched together based on shared pixels and orthogonally adjusted to create a high resolution (approximately 2 cm pixel size) orthoimage for the study area. The orthomosaic image captures...
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This child data release includes field spectra obtained as part of a study focused on mapping chinook salmon spawning locations along the American River near Sacramento, California, via remote sensing; the data were collected November 5-7, 2018. The purpose of this study was to develop and test a spectrally based technique for identifying salmon spawning locations, known as redds, from various types of remotely sensed data. Traditionally, redds have been mapped by eye while walking the bank or from a boat, or by an observer in an aircraft or an interpreter visually examining aerial images. The goal of this proof-of-concept investigation was to assess the potential for more efficient, objective, and automated...
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An unmanned aerial system (UAS) was used to acquire red/green/blue (RGB) and hyperspectral image data from the American River in California November 5-7, 2018, to support research on remote sensing of rivers, specifically mapping chinook salmon spawning locations (redds) as part of an overall salmon habitat assessment program. The RGB images were acquired uisng a DJI MAtrice 210 equipped with a Zenmuse 4S optical camera. Imagery was collected along several parallel flight lines to ensure full coverage of the study reach. Raw Zenmuse images were georeferenced using real-time kinematic (RTK) global positioning system (GPS) and inertial motion unit (IMU) data recorded onboard the UAS and individual flight strips were...
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This dataset contains data collected during science flights using the drone-based QCam, which is a Doppler (velocity) radar designed to measure surface velocity and compute river discharge when channel bathymetry is known. Five science flights were conducted on four rivers including the Arkansas and South Platte Rivers in Colorado and the Salcha and Tanana Rivers in Alaska. Data are presented in a comma separated values (CSV) file.
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This child item contains Mathworks MATLAB script files which reproduce the processing steps for each dataset. The following scripts are included: MATLAB scripts to process the images extracted from sUAS videos for each site. See the FGDC metadata Data Quality Section Process Step 1 for details on these scripts: ACR_PIVLab_Script.m AFR_PIVLab_Script.m CCC_PIVLab_Script.m CMC_PIVLab_Script.m GLR_PIVLab_Script.m RMC_PIVLab_Script.m SMC_PIVLab_Script.m WMD_PIVLab_Script.m MATLAB scripts to post process the data into the form supplied in this data release. See the FGDC metadata Data Quality Section Process Steps 2 and 3 for details on these scripts: CalibrateData.m CreatePlots.m Each Field Site is abbreviated in...
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This child item contains the Mathworks Matlab mat-file outputs from the scripts described in the Ancillary Scripts child item. Each file contains the results for a particular field site. See the FGDC metadata Process Steps section for more information about opening these files. The mat-files included here have a standard set of output variables and include a variable named "zzVariableDescriptions" in each mat-file which describes the contents of the file. The following variables and descriptions are included in each mat-file (extracted from the "zzVariableDescriptions" variable): calibration_distance: The distance between calibration points in meters. calibration_points: Pixel coordinates of the calibration points....
Tags: Agua Fria River, Maricopa County, Arizona, USA, Androscoggin River, Androscoggin County, Maine, USA, Auburn, Androscoggin County, Maine, USA, Coachella Canal, Imperial County, California, USA, Cochiti Lake, Reservoir, Sandoval County, New Mexico, USA, All tags...
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The dataset consists of a shapefile of measurements of surface velocity magnitude and direction at the Colorado River at Windy Gap near Granby, CO, on July 27, 2021. The dataset contains approximately 1 km of river length. The surface velocity measurements were made by applying Large-Scale Particle Image Velocimetry (LSPIV) techniques, using overlapping videos collected by small Unmanned Aircraft Systems (sUAS). Total time to capture all videos was one hour and ten minutes, 11:05am to 12:15pm local time, and all frames (except frame 1, see Process Steps below) from all videos were used. Additional attributes, including divergence, curl, shear, and strain, were calculated from the surface velocity measurements and...
The Hydrologic Remote Sensing Branch (HRSB) community is intended to host remote sensing technology datasets and information products to help WMA and Water Science Center (WSC) staff more safely and effectively gage streams, monitor water quality, and measure the hydrologic cycle.
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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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The U.S. Geological Survey contracted with Juniper Unmanned to conduct field tests of the ASTRALiTe bathymetric lidar system on the Colorado River near Parshall, Colorado, on June 13, 2019. The objective of this project was to assess the potential to map river bathymetry (i.e., channel bed topography) using lidar data collected from an unmanned aircraft system (UAS). The ASTRALiTe lidar instrument was mounted on a DJI Matrice 600 Pro UAS owned and operated by Juniper Unmanned. As part of the study, Juniper's pilot flew the ASTRALiTe instrument across 2 river transects (cross-stream) on the Colorado River. This data release includes data delivered to the USGS by ASTRALite on August 1, 2019. The data have been parsed...
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This child item contains images associated with each field site showing example output of PIV results as processed using the "CreatePlots.m" script file found in the Ancillary Scripts child item of this data release. Each Field Site is abbreviated in various files in this data release. File and folder names are used to quickly identify which site a particular file or dataset represents. The following abbreviations are used: ACR: Androscoggin River, Auburn, Maine, USA AFR: Agua Fria River, near Rock Springs, Arizona, USA CCC: Coachella Canal above All-American Canal Diversion, California, USA CMC: Cochiti East Side Main Channel, near Cochiti, New Mexico, USA GLR: Gila River near Dome, Arizona, USA RMC: Reservation...
Tags: Agua Fria River, Maricopa County, Arizona, USA, Androscoggin River, Androscoggin County, Maine, USA, Auburn, Androscoggin County, Maine, USA, Coachella Canal, Imperial County, California, USA, Cochiti Lake, Reservoir, Sandoval County, New Mexico, USA, All tags...
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This data release consists of three child items distinguishing the following types of data: light detection and ranging (lidar) point clouds (LPCs), digital elevation models (DEMs), and snow depth raster maps. These three data types are all derived from lidar data collected on small, uncrewed aircraft systems (sUAS) at study areas in the Upper Colorado River Basin, Colorado, from 2020 to 2022. These data were collected and generated as part of the U.S. Geological Survey's (USGS) Next Generation Water Observing Systems (NGWOS) Upper Colorado River Basin project.
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The U.S. Geological Survey (USGS) is actively investigating the use of innovative remote-sensing techniques to estimate surface velocity and discharge of rivers in ungaged basins and river reaches that lack the infrastructure to install conventional streamgaging equipment. By coupling discharge algorithms and sensors capable of measuring surface velocity, streamgage networks can be established in regions where data collection was previously impractical or impossible. One of the remote-sensing techniques uses a Doppler (velocity) radar (QCam) mounted and integrated on a small unmanned aircraft system (sUAS or drone). QCam measures the along-track surface velocity by spot dwelling in a river cross section at a vertical...
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This child item contains files representing Particle Image Velocimetry (PIV) processing masks which excluded regions of invalid velocities from the PIV results. Masks typically are used to screen out velocities or prevent the creation of velocities for regions of an image where computed PIV velocities would be nonsensical or invalid. For example, near or on the channel banks, where a tree overhangs the channel, or the presence of a boat or other object in the water. By using masks, these regions can be excluded from analysis. The PIVLab software allows for the designation of a rectangular Region of Interest (ROI). For five of the field sites, which were located at engineered canals, a rectangular ROI was sufficient...
Tags: Agua Fria River, Maricopa County, Arizona, USA, Androscoggin River, Androscoggin County, Maine, USA, Auburn, Androscoggin County, Maine, USA, Coachella Canal, Imperial County, California, USA, Cochiti Lake, Reservoir, Sandoval County, New Mexico, USA, All tags...
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The U.S. Geological Survey contracted with Juniper Unmanned to conduct field tests of the ASTRALiTe bathymetric lidar system on the Blue River and Colorado River near Kremmling, Colorado, on October 18, 2018. The objective of this project was to assess the potential to map river bathymetry (i.e., channel bed topography) using lidar data collected from an unmanned aircraft system (UAS). The ASTRALiTe lidar instrument was mounted on a DJI Matrice 600 Pro UAS owned and operated by Juniper Unmanned. As part of the study, Juniper's pilot flew the ASTRALiTe instrument across 2 river transects (cross-stream) on the Blue River and 2 river transects (cross-stream) on the Colorado River. This data release includes data delivered...
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These digital elevation models (DEMs) were generated from light detection and ranging (lidar) point clouds (LPCs) derived from lidar data collected during multiple field campaigns at three study areas near Winter Park, Colorado. Small, uncrewed aircraft systems (sUAS) were used to collect lidar datasets to represent snow-covered and snow-free periods.
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The U.S. Geological Survey contracted with Juniper Unmanned to conduct field tests of the ASTRALiTe bathymetric lidar system on the Blue River just upstream of its confluence with the Colorado River near Kremmling, Colorado, on October 18, 2018. The objective of this project was to assess the potential to map river bathymetry (i.e., channel bed topography) using lidar data collected from an unmanned aircraft system (UAS). The ASTRALiTe lidar instrument was mounted on a DJI Matrice 600 Pro UAS owned and operated by Juniper Unmanned. As part of the study, Juniper's pilot flew the ASTRALiTe instrument across 2 river transects (cross-stream) on the Blue River. This data release includes data delivered to the USGS by...
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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...


map background search result map search result map UAS-based remotely sensed data and field measurements of flow depth and velocity from the Blue River, Colorado, October 18, 2018 Bathymetric lidar data 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 Bathymetric lidar data from the Colorado River, near Parshall, Colorado, June 13, 2019 Field spectra from salmon spawning locations on the American River, California, November 5-7, 2018 Hyperspectral and RGB image data used to map salmon spawning locations on the American River, California, November 5-7, 2018 Bathymetric lidar data from the Blue River and Colorado River, near Kremmling, Colorado, October 18, 2018 Drone- and ground-based measurements of velocity, depth, and discharge collected during 2017-18 at the Arkansas and South Platte Rivers in Colorado and the Salcha and Tanana Rivers in Alaska, USA Surface velocity data acquired from QCam (drone-based Doppler velocity radar) for the Arkansas and South Platte Rivers in Colorado and the Salcha and Tanana Rivers in Alaska Orthorectified Mosaic Photograph of a Portion of the Arkansas River at Parkdale, Colorado, March, 2018 Colorado River at Salt Wash near Moab, UT - 2020/10/07 Water Surface Velocity Map Using Particle Image Velocimetry Colorado River at Compact Point near Lees Ferry, AZ - 2021/03/18 Water Surface Velocity Map Using Particle Image Velocimetry Masks Particle Image Velocimetry Results Particle Image Velocimetry Results Images Ancillary Scripts Colorado River at Windy Gap near Granby, CO - 2021/07/27 Water Surface Velocity Map Using Particle Image Velocimetry Lidar Point Clouds (LPCs), Digital Elevation Models (DEMs), and Snow Depth Raster Maps Derived from Lidar Data Collected on Small, Uncrewed Aircraft Systems in the Upper Colorado River Basin, Colorado, 2020-22 Digital Elevation Models (DEMs) Derived from Lidar Point Clouds (LPCs) Collected by Small, Uncrewed Aircraft Systems (sUAS) at Three Study Areas in Colorado, 2020-22 Bathymetric lidar data from the Colorado River, near Parshall, Colorado, June 13, 2019 Orthorectified Mosaic Photograph of a Portion of the Arkansas River at Parkdale, Colorado, March, 2018 Bathymetric lidar data from the Blue River and Colorado River, near Kremmling, Colorado, October 18, 2018 UAS-based remotely sensed bathymetry and field measurements from the Colorado River, near Parshall Colorado, June 13, 2019 Colorado River at Windy Gap near Granby, CO - 2021/07/27 Water Surface Velocity Map Using Particle Image Velocimetry UAS-based remotely sensed data and field measurements of flow depth and velocity from the Blue River, Colorado, October 18, 2018 Field spectra from salmon spawning locations on the American River, California, November 5-7, 2018 Hyperspectral and RGB image data used to map salmon spawning locations on the American River, California, November 5-7, 2018 Bathymetric lidar data from the Blue River, Colorado, October 18, 2018 Colorado River at Compact Point near Lees Ferry, AZ - 2021/03/18 Water Surface Velocity Map Using Particle Image Velocimetry Colorado River at Salt Wash near Moab, UT - 2020/10/07 Water Surface Velocity Map Using Particle Image Velocimetry Lidar Point Clouds (LPCs), Digital Elevation Models (DEMs), and Snow Depth Raster Maps Derived from Lidar Data Collected on Small, Uncrewed Aircraft Systems in the Upper Colorado River Basin, Colorado, 2020-22 Digital Elevation Models (DEMs) Derived from Lidar Point Clouds (LPCs) Collected by Small, Uncrewed Aircraft Systems (sUAS) at Three Study Areas in Colorado, 2020-22 Masks Particle Image Velocimetry Results Particle Image Velocimetry Results Images Ancillary Scripts Surface velocity data acquired from QCam (drone-based Doppler velocity radar) for the Arkansas and South Platte Rivers in Colorado and the Salcha and Tanana Rivers in Alaska Drone- and ground-based measurements of velocity, depth, and discharge collected during 2017-18 at the Arkansas and South Platte Rivers in Colorado and the Salcha and Tanana Rivers in Alaska, USA