Skip to main content
Advanced Search

Filters: Types: Map Service (X) > Types: OGC WMS Service (X) > Types: OGC WFS Layer (X) > partyWithName: Carl J Legleiter (X)

Folders: ROOT > ScienceBase Catalog > USGS Data Release Products ( Show all descendants )

37 results (31ms)   

Location

Folder
ROOT
_ScienceBase Catalog
__USGS Data Release Products
Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
thumbnail
This data release consists of orthophotographs of the Snow River in Alaska acquired on September 1, 2018. The orthophotographs were produced from images obtained using a Hasselblad A6D-100C 100 megapixel digital mapping camera deployed within a pod mounted on the landing gear of a Robinson R44 helicopter. Images were acquired as the helicopter transited a series of flight lines designed to provide complete coverage, with ample overlap, of the study area along the Snow River. Also within the pod was an ATLANS GPS/Inertial Motion Unit (IMU) that recorded the position and orientation of the platform during the flight. This information was used to geo-reference the images by performing aerial triangulation and bundle...
thumbnail
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...
thumbnail
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...
thumbnail
To support an investigation of the effectiveness of a large-scale river restoration project, several types of field data were collected from two gravel-bed reaches of the regulated lower Merced River in California's Central Valley, primarily in the fall of 2016. These data sets were intended to characterize salmon spawning habitat and identify factors influencing spawning site selection. This parent data release includes links to child pages for the following data sets: 1) Bulk samples of streambed sediment used to characterize the subsurface grain size distribution. 2) Pebble counts used to characterize the sediment grain size distribution of the bed surface. 3) Force gage measurements used to parameterize a...
thumbnail
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...
thumbnail
A reach of the North Santiam River, Oregon, was used as a case study in an ongoing effort to develop and test uncrewed aircraft system (UAS)-based salmon habitat mapping techniques using: (1) particle image velocimetry (PIV) for estimating surface flow velocities from remotely sensed data; and (2) two-dimensional (2D) flow modeling based on remotely sensed topography and bathymetry (topo-bathymetry). Direct measurements of flow velocity were obtained using an acoustic Doppler current profiler (ADCP) and used to assess the accuracy of the image-derived velocity estimates and modeled flow fields. Water depth was measured using a single beam echosounder and was used to calibrate and validate image-derived depth estimates...
thumbnail
This data release includes field measurements of flow velocity and optical image sequences used to derive remotely sensed estimates of surface flow velocities via particle image velocimetry (PIV) from two rivers in Alaska. These data were acquired from the Salcha River on August 31, 2018, and the Tanana River on July 24, 2019. The purpose of this study was to assess the feasibility of inferring flow velocities from optical image sequences acquired from a helicopter hovering above each river by tracking water surface features via various PIV algorithms and to develop a modular workflow for performing this type of analysis. Remote sensing of flow velocity could provide a more efficient, cost-effective alternative...
thumbnail
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...
thumbnail
The U.S. Geological Survey collected field spectra collected from three rivers in Alaska September 19–21, 2016, to support research on remote sensing of river discharge. Reflectance measurements were made from bridges across the Chena River, Salcha River, and Montana Creek using an Analytical Spectral Devices FieldSpec3 spectroradiometer operated in reflectance mode. The original *.asd files are provided in this data release. This data release supports the following article: Legleiter, C.J., Kinzel, P.J., and Nelson, J.M., 2017, Remote measurement of river discharge using thermal particle image velocimetry (PIV) and various sources of bathymetric information: Journal of Hydrology, v. 554, p. 490-506, https://doi.org/10.1016/j.jhydrol.2017.09.004.
thumbnail
This data release includes digital orthophotos acquired from a fixed-wing aircraft and field measurements of flow velocity from the Tanana and Nenana Rivers near Nenana, Alaska, obtained on August 18 and 19, 2021. This parent data release includes links to child pages for two data sets produced during the study: 1. Acoustic Doppler Current Profiler (ADCP) field measurements of flow velocity from the Tanana and Nenana Rivers, Alaska, collected on August 18, 2021. 2. Digital orthophotos of the Tanana and Nenana Rivers, Alaska, acquired from a fixed-wing aircraft on August 19, 2021. Please refer to the individual child pages for further detail about each data set. Overall, these data were used to assess the...
thumbnail
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...
thumbnail
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...
thumbnail
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...
thumbnail
A reach of the North Santiam River, Oregon, was used as a case study in an ongoing effort to develop and test image velocimetry algorithms for estimating surface flow velocities in river channels from remotely sensed data. Video was acquired from an unoccupied aircraft system, UAS, and used as input to the image velocimetry algorithms. Direct measurements of flow velocity were obtained using an acoustic Doppler current profiler, ADCP, and used to assess the accuracy of the image velocimetry algorithms. The UAS-based video was acquired from a DJI Matrice 210 quadcopter equipped with a Zenmuse X4S optical camera on July 25, 2022. The video is provided in its native form, with a frame rate of 30 Hertz and an *.mov...
thumbnail
The U.S. Geological Survey in collaboration with the U.S. Army Corps of Engineers Cold Regions Research and Engineering Laboratory (CRREL) collected topographic LiDAR surveys of six rivers in Alaska from August 27-September 1, 2018 to support research related to remote sensing of river discharge. Data were acquired for the Knik, Matanuska, Chena, Salcha, Tanana and Snow Rivers using a Riegl VQ-480 LiDAR. The LiDAR was installed on a Robinson R44 Raven helicopter in a HeliPod that was designed and operated by CRREL. The LiDAR data included as part of this release include: a bare earth digital elevation model (DEM) in GeoTiff format, and compressed binary LAS files (LAZ) for each river surveyed.
thumbnail
Bathymetric and topographic surveys were collected along an approximately 47-kilometer reach of the Colorado River beginning at the Pumphouse Recreation site and extending downstream to the USGS streamgage located near the Colorado River Road (Catamount) bridge. The surveys were collected using real-time kinematic Global Navigation Satellite System (GNSS) receivers by USGS personnel during several time periods between May 13, 2021, through July 26, 2023, using a combination of sonar and wading techniques. The wading surveys include point data that are provided as comma-delimited text files of northing, easting, elevation, and point code. The sonar surveys include point data that are provided as comma-delimited text...
thumbnail
This data release includes field spectra, UAS-based RGB videos, and digital orthophotography acquired from a manned fixed-wing aircraft, as well as in situ measurements of turbidity and Rhodamine WT dye concentration acquired during a tracer experiment performed on the Missouri River near Columbia, Missouri, on May 5, 2021. One of the primary goals of this tracer experiment was to assess the feasibility of inferring concentrations of a visible dye (Rhodamine WT) from various types of remotely sensed data in a large, highly turbid natural river channel. Previous research on remote sensing of tracer dye concentrations has focused on clear-flowing streams, but the Missouri River is much more turbid. As a result,...
thumbnail
Field measurements of water depth were acquired from a reach of the Colorado River near Lees Ferry, Arizona, March16-18, 2021, to support research on remote sensing of water depth from satellite images. The depth measurements included in this data release were obtained along a series of cross-sections using a SonTek RiverSurveyor M9 acoustic Doppler current profiler (ADCP) deployed from a boat. The spatial location of each measurement was obtained using a differential GPS included as part of the RiverSurveyor M9 ADCP instrument package. The map projection and datum for these data are UTM Zone 12S and WGS84, respectively. The USGS Qrev software program was used to ingest and process the raw ADCP data. The Qrev data...
thumbnail
Hyperspectral image data and various field measurements were acquired from a reach of the Snake River in Grand Teton National Park, WY, August 19-24, 2015, to support research on remote sensing of rivers. This parent data release includes links to child pages for the following data sets: 1) hyperspectral image data; 2) ground-based depth measurements obtained by wading and with with an acoustic Doppler current profiler; 3) reflectance spectra 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 used to develop improved methods of estimating water...
thumbnail
This data release provides an example data set to accompany the manuscript titled "A Robot Operating System (ROS) package for mapping flow fields in rivers via Particle Image Velocimetry (PIV)", submitted to the journal Software X. This ROS *.bag file contains remotely sensed data acquired during an Uncrewed Aircraft System (UAS) flight along a reach of the Sacramento River near Glenn, California, USA, on September 16, 2022. Cooperators on this project include the Intelligent Robotics Group from the National Aeronautics and Space Administration (NASA) Ames Research Center and the National Oceanographic and Atmospheric Administration (NOAA) Southwest Fisheries Science Center. The file bag6xs600.bag contains a single...


map background search result map search result map Field spectra from rivers in Alaska, September 19–21, 2016 Hyperspectral image data and field measurements used for bathymetric mapping of the Deschutes River near Bend, OR Hyperspectral image data and field measurements used for bathymetric mapping of the Snake River in Grand Teton National Park, WY Remotely sensed data and field measurements used for bathymetric mapping of the upper Sacramento River in northern California Field measurements for characterizing salmon spawning habitat in two restored reaches of the lower Merced River, California Hyperspectral image data and multibeam echosounder surveys used for bathymetric mapping of the Kootenai River in northern Idaho, September 26-27, 2017 Topographic LiDAR surveys of rivers in Alaska, August 27-September 1, 2018 UAS-based remotely sensed data and field measurements of flow depth and velocity from the Blue River, Colorado, October 18, 2018 Field measurements of flow velocity and optical image sequences acquired from the Salcha and Tanana Rivers in Alaska in 2018 and 2019 and used for particle image velocimetry (PIV) Field measurements of flow depth and optical image sequences acquired from the Salcha River, Alaska, on July 25, 2019 Geo-referenced orthophotographs of the Snow River, Alaska, acquired September 1, 2018 Field measurements of water depth from the Colorado River near Lees Ferry, AZ, March 16-18, 2021 Remotely sensed data and field measurements for mapping visible dye concentrations during a tracer experiment on the Missouri River near Columbia, MO, May 5, 2021 Bathymetric and topographic surveys of the Upper Colorado River, May 13, 2021, to July 26, 2023 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 Digital orthophotos and field measurements of flow velocity from the Tanana and Nenana Rivers, Alaska, from August 2021 (ver. 2.0, June 2024) Multispectral images and field measurements of water depth from the Sacramento River near Glenn, California, acquired September 14-16, 2021 Remotely sensed data from a reach of the Sacramento River near Glenn, California, used to perform Particle Image Velocimetry (PIV) within the Robot Operating System (ROS) Video acquired from an Uncrewed Aerial System (UAS) and hydroacoustic measurements of flow velocity obtained along the North Santiam River, Oregon, in July 2022 Remotely sensed data acquired from an Uncrewed Aerial System (UAS) and field measurements of flow depth and velocity from the North Santiam River, Oregon, collected in July 2022 UAS-based remotely sensed data and field measurements of flow depth and velocity from the Blue River, Colorado, October 18, 2018 Video acquired from an Uncrewed Aerial System (UAS) and hydroacoustic measurements of flow velocity obtained along the North Santiam River, Oregon, in July 2022 Remotely sensed data acquired from an Uncrewed Aerial System (UAS) and field measurements of flow depth and velocity from the North Santiam River, Oregon, collected in July 2022 Field measurements of water depth from the Colorado River near Lees Ferry, AZ, March 16-18, 2021 Hyperspectral image data and field measurements used for bathymetric mapping of the Snake River in Grand Teton National Park, WY Remotely sensed data from a reach of the Sacramento River near Glenn, California, used to perform Particle Image Velocimetry (PIV) within the Robot Operating System (ROS) Field measurements of flow depth and optical image sequences acquired from the Salcha River, Alaska, on July 25, 2019 Multispectral images and field measurements of water depth from the Sacramento River near Glenn, California, acquired September 14-16, 2021 Remotely sensed data and field measurements used for bathymetric mapping of the upper Sacramento River in northern California Digital orthophotos and field measurements of flow velocity from the Tanana and Nenana Rivers, Alaska, from August 2021 (ver. 2.0, June 2024) Hyperspectral image data and field measurements used for bathymetric mapping of the Deschutes River near Bend, OR Geo-referenced orthophotographs of the Snow River, Alaska, acquired September 1, 2018 Field measurements for characterizing salmon spawning habitat in two restored reaches of the lower Merced River, California Hyperspectral image data and multibeam echosounder surveys used for bathymetric mapping of the Kootenai River in northern Idaho, September 26-27, 2017 Field measurements of flow velocity and optical image sequences acquired from the Salcha and Tanana Rivers in Alaska in 2018 and 2019 and used for particle image velocimetry (PIV) Topographic LiDAR surveys of rivers in Alaska, August 27-September 1, 2018 Field spectra from rivers in Alaska, September 19–21, 2016