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Filters: Tags: sUAS (X) > Types: OGC WMS Layer (X)

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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...
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 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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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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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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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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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...
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The U.S. Geological Survey collected multispectral and visible light imagery via a quadcopter, small unoccupied aircraft system (sUAS) deployed near Ashville Bridge Creek in Virginia Beach, VA. Approximately 0.25 sq mi surrounding U.S.Fish and Wildlife Service (USFWS) Back Bay National Wildlife Refuge along Ashville Bridge Creek approximately 0.5 mi south of Lotus Garden Park on July 17 and 18, 2018. Photos were collected at a height of 400ft above ground level (AGL) with approximately 70% frontlap between photos and approximately 30% sidelap between survey lines. Multispectral images were collected in a tif format using a Micasense RedEdge M with a Ground Sample Distance of 8.2 cm/pixel, visible light images were...
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This dataset includes vertical velocity profiles and river discharge at the cross section of interest where velocity measurements were taken on the Arkansas and South Platte Rivers in Colorado and the Salcha and Tanana Rivers in Alaska. Each profile contains measurements from at least six depths across the cross section in order to have a full two-dimensional cross-section velocity profile across the river. Each profile contains measurements at various depths at the y-axis, which is the vertical in the cross-sectional profile where the maximum velocity (umax) occurs.These measurements were taken using a Flowtracker2 instrument (SonTek, 2020) when wading was possible; if wading was not possible, measurements were...
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 the Arkansas River in Colorado and are presented as comma separated values (CSV) files.
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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), optical and sediment measurements were collected from the Blue River and Colorado River near Kremmling, CO on October 17-18, 2018. Optical measurements were collected with a WET Labs ECO which measures the turbidity and concentration of colored dissolved organic matter (CDOM) and chlorophyll. Absorption and attenuation coefficients were collected with a WET Labs ac-s instrument. The concentration and mean size of suspended sediment were collected with a LIST 100X sensor.
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To support an investigation of the feasibility of measuring river bathymetry 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 and two cross-sections on the Colorado River near Kremmling, Colorado, on October 17-18, 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) Field-based wading surveys of bed...
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This data release includes images and field measurements used to map 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 redd mapping from conventional...
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This dataset contains survey data including wading and real-time kinematic (RTK) Global Positioning System (GPS) of water surface elevation and channel bed topography at cross section 5 (xs5) on March 20, 2018, which is adjacent to the U.S. Geological Survey (USGS) streamgage at Arkansas River at Parkdale, Colorado (USGS 07094500). The RTK Global Navigation Satellite System (GNSS) surveys were performed using a local base station associated with the streamgage and Trimble R8 and R10 receivers while wading the channel at cross section 5. The survey data were postprocessed by performing the National Oceanic and Atmospheric Administration Online Positioning User Service (OPUS) correction of the static observations...
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The U.S. Geological Survey contracted with Juniper Unmanned to conduct field tests of the Infrared Cameras Inc. (ICI) Mirage camera 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 infer surface flow velocities in rivers by applying a particle image velocimetry (PIV) algorithm to aerial thermal infrared image time series collected from an unmanned aircraft system (UAS). The ICI Mirage (3-5 µm thermal IR) and a Sony DSC QX-30 (natural color) cameras were mounted on a Gremsy H7 gimbal, integrated with the ICI sensor control module (SCM), and mounted to a DJI Matrice 600 Pro UAS owned...
    map background search result map search result map Multispectral and visual photogrammetric data collected via sUAS: Back Bay National Wildlife Refuge, Virginia, July 2018 UAS-based remotely sensed data and field measurements from the Blue River and Colorado River, near Kremmling, Colorado, October 17-18, 2018 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 Thermal image time series 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 Image data and field measurements used to map salmon spawning locations via remote sensing, American River, California, November 5-7, 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 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 Wading survey of bed topography, gage height, and cross-sectional area for the Arkansas River near Parkdale, Colorado 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 Optical and sediment measurements collected from the Blue River and Colorado River, near Kremmling, Colorado, October 17, 2018 Velocity profiles and river discharge for cross sections on the Arkansas and South Platte Rivers in Colorado and the Salcha and Tanana Rivers in Alaska Surface Velocity Data Acquired from QCam (Drone-based Doppler Velocity Radar) for the Arkansas River at Parkdale, Colorado, March 2018 Orthorectified Mosaic Photograph of a Portion of the Arkansas River at Parkdale, Colorado, March, 2018 Surface Velocity Data Acquired from QCam (Drone-based Doppler Velocity Radar) for the Arkansas River at Parkdale, Colorado, March 2018 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 UAS-based remotely sensed data and field measurements from the Blue River and Colorado River, near Kremmling, Colorado, October 17-18, 2018 Optical and sediment measurements collected from the Blue River and Colorado River, near Kremmling, Colorado, October 17, 2018 UAS-based remotely sensed data and field measurements of flow depth and velocity from the Blue River, Colorado, October 18, 2018 Wading survey of bed topography, gage height, and cross-sectional area for the Arkansas River near Parkdale, Colorado Thermal image time series 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 Image data and field measurements used to map salmon spawning locations via remote sensing, American River, California, November 5-7, 2018 Multispectral and visual photogrammetric data collected via sUAS: Back Bay National Wildlife Refuge, Virginia, July 2018 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 Velocity profiles and river discharge for cross sections on 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