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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.
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.
This child item contains bathymetric measurements of the channel geometry suitable for use in computing cross-sectional area for each field site. Each Field Site is abbreviated in various files in this data release. File and folder names quickly identify which site a particular file or dataset represents. The following abbreviations are used: ACS: Anthracite Creek at Somerset, Colorado, USA BRA: Blue River below Dillon, Colorado, USA (collected in August 2023) BRJ: Blue River below Dillon, Colorado, USA (collected in June 2023) CRG: Colorado River below Glenwood Springs, Colorado, USA CRR: Colorado River above Roaring Fork River at Glenwood Springs, Colorado, USA ERW: Eagle River below Milk Creek near Wolcott,...
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...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: American River,
California,
Nimbus Dam,
Remote sensing,
Salmon,
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...
Categories: Data,
Data Release - In Progress;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: American River,
California,
Nimbus Dam,
RGB,
Remote sensing,
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...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Raster;
Tags: Arkansas River,
Canon City,
Colorado,
Colorado,
North America,
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....
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.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Alaska,
Colorado,
North America,
United States,
depth,
A series of field measurements of surface water velocity derived from video and Doppler velocity radar collected by small unoccupied aircraft systems (sUAS) and portable sensors were collected at seven locations in Colorado, USA, during the summer of 2023. The measurements were utilized to compute surface velocity and discharge using the Probability Concept, Large-Scale Particle Image Velocimetry (LSPIV), and Space-Time Image Velocimetry (STIV) methods. This data release includes the original videos, radar spectra, and ancillary data necessary to produce the surface water velocity and streamflow results. Data are grouped into sections (child items) based on the data type and purpose: Ancillary Scripts: this child...
Tags: Anthracite Creek, Gunnison County, Colorado, United States of America,
Aspen, Pitkin County, Colorado, United States of America,
Blue River, Summit County, Colorado, United States of America,
Colorado River, Garfield County, Colorado, United States of America,
Dillon, Summit County, Colorado, United States of America,
This child item contains the raw acoustic Doppler velocity profiler (ADCP) measurements collected by U.S. Geological Survey (USGS) hydrographers at each site to validate Image and Radar velocimetry results. The discharge measurements were collected as part of routine and standard streamflow gaging direct measurement workflows at established USGS gaging locations. The zip file included in this release contains folders for each site. Within each folder are the associated raw ADCP files. For all field sites except BRJ, official discharge records are approved and available in the National Water Information System (NWIS) database. For those measurements with NWIS official measurements, the Site Visit Notes report is...
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...
These data were collected to investigate how well wind speed and direction can be measured using a miniature sonic anemometer mounted in a joust configuration on a small uncrewed aircraft system (sUAS). Test flights occurred at a bog within Interior Alaska that was instrumented with an eddy covariance flux tower. Part of the tower's instrumentation was a highly accurate sonic anemometer which was used represented the real, or target, wind speed and direction. Because the sUAS and tower instruments are not co-located (as the sUAS is constantly moving) a concurrent experiment examined the amount of error due to this separation.
Categories: Data;
Tags: Alaska,
USGS Science Data Catalog (SDC),
climatologyMeteorologyAtmosphere,
drone,
sUAS,
This child item contains the raw videos captured by small Unoccupied Aircraft Systems (sUAS) at each field site. It also includes a summary file with metadata for each video. Each Field Site is abbreviated in various files in this data release. File and folder names quickly identify which site a particular file or dataset represents. The following abbreviations are used: ACS: Anthracite Creek at Somerset, Colorado, USA BRA: Blue River below Dillon, Colorado, USA (collected in August 2023) BRJ: Blue River below Dillon, Colorado, USA (collected in June 2023) CRG: Colorado River below Glenwood Springs, Colorado, USA CRR: Colorado River above Roaring Fork River at Glenwood Springs, Colorado, USA ERW: Eagle River below...
This child item contains information about associating the calibration images and video to real-world distances using ground control points for each field site. The data included here can be used to provide a pixel ground scale distance for each video. Each Field Site is abbreviated in various files in this data release. File and folder names quickly identify which site a particular file or dataset represents. The following abbreviations are used: ACS: Anthracite Creek at Somerset, Colorado, USA BRA: Blue River below Dillon, Colorado, USA (collected in August 2023) BRJ: Blue River below Dillon, Colorado, USA (collected in June 2023) CRG: Colorado River below Glenwood Springs, Colorado, USA CRR: Colorado River...
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...
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.
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...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Bathymetry,
Colorado River, CO,
Parshall, CO,
Remote Sensing,
UAS,
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...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Bathymetry,
Colorado River, CO,
Parshall, CO,
Remote Sensing,
UAS,
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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