Skip to main content
Advanced Search

Filters: partyWithName: U.S. Geological Survey - ScienceBase (X) > Categories: Data (X) > Types: OGC WMS Layer (X) > partyWithName: Paul J Kinzel (X) > partyWithName: Water Resources (X)

Folder: ROOT ( Show direct descendants )

29 results (11ms)   

Location

Folder
ROOT
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
The U.S. Geological Survey obtained measurements of channel geometry, flow velocity, and river discharge from five rivers in Alaska September 18–20, 2016, to support research on remote sensing of river discharge. The streamflow data were acquired from the Knik, Matanuska, Chena, and Salcha Rivers and Montana Creek using TeleDyne RD Instruments Acoustic Doppler Current Profilers (ADCPs), including the RioPro, StreamPro, and RiverRay models. The original *.mmt and *.pd0 format 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...
thumbnail
The U.S. Geological Survey conducted hydrographic surveys from June 23-24, 2015, to monitor fish spawning substrate placements (reefs) in the Detroit River, Michigan. An interferrometric multibeam echosounder was used from the Great Lakes Science Center research vessel Mayfly to collect maps of river bottom topography in locations where spawning substrates have been placed. In addition, baseline topography was collected at locations where substrates were planned to be introduced. The Fighting Island reef had been constructed at the date of survey. Surveys were also conducted at prospective reef sites: Grassy Island, Fort Wayne and Upstream Belle Isle. This data release includes bathymetric surveys collected from...
thumbnail
The U.S. Geological Survey deployed seven submersible pressure transducers on the bottom of the Salcha River in July 2018. An additional transducer was left out of the water to correct for barometric pressure fluctuations. At the time of deployment, the bank position near each transducer and the water-surface elevation were measured with Global Navigation Satellite System (GNSS) equipment. The transducers recorded a depth measurement every 15-min until the recovery of five of the seven in October. We adjusted the water elevation measured at deployment by the difference between the depth measured at deployment and each subsequent depth measurement to derive the water-surface elevation at 15-min intervals. The data...
thumbnail
Evaluating technologies and approaches to identify the movement of fine sediment over coarser substrate has implications for monitoring the condition of habitat restoration sites. This goal motivated testing the efficacy of Fiber Optic Distributed Temperature Sensing (FO-DTS) as a technique for detecting the migration of sand bedforms over coarser bed material. Experiments were conducted in a laboratory flume at the USGS Geomorphology and Sediment Transport Laboratory (GSTL) in Golden, Colorado. An approximately 20-meter length of fiber optic cable was placed in the flume. The first 5 meter segment of cable was buried in approximately 5 centimeters of gravel substrate and extended from the upstream (top) to the...
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
Field measurements of depth-averaged flow velocity were acquired from the Tanana and Nenana Rivers near Nenana, Alaska, August 18, 2021, to support research on estimating surface flow velocities from remotely sensed data via particle image velocimetry (PIV). The velocity measurements included in this data release were obtained using a TRDI RiverRay acoustic Doppler current profiler (ADCP) deployed from a boat with an outboard motor. These data were collected along 7 cross-sections on the Tanana River and 7 cross-sections on the Nenana River; two passes across the channel were made at each cross-section. This data release provides depth-averaged flow velocities derived from the raw ADCP data using the TRDI WinRiver...
thumbnail
The U.S Geological Survey conducted hydrographic surveys from July 23-25, 2018 to monitor fish spawning substrate placements (reefs) in the Detroit and St. Clair Rivers, Michigan. A multibeam echosounder was used from the Great Lakes Science Center research vessel Cisco to collect hydrographic data. These data were used to generate maps of river bottom topography in locations where spawning substrates have been placed. Reefs that had been constructed at the time of survey in the Detroit River included: Fighting Island, Fort Wayne, New (East) Belle Isle, Belle Isle, and Grassy Island. The reefs constructed in the St. Clair River at the time of survey included: Middle Channel, Pointe aux Chenes, and Harts Light.
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
This archive contains results of flow and sediment transport simulations of a reach of the Middle Channel of the St. Clair River delta, Michigan using the iRIC modeling system and the Flow and Sediment Transport with Morphologic Evolution of Channels (FASTMECH) solver. Two hydraulic model simulations were used to determine lateral eddy viscosity and roughness settings. A third simulation contains results of the Wilcox-Kenworthy (WK) two-fraction sediment transport model. The WK model was used to simulate the movement of fine grained sediment into coarser immobile substrate. The coarse rock rubble substrate (reefs) constructed in the Middle Channel in 2012 began filling with sand within a year. However, detailed...
thumbnail
Twenty one submersible pressure transducers were deployed along the Green River near Jensen Utah in late February 2018. At some locations two transducers were deployed at different elevations to capture the expected range of water level fluctuations, an "upper" and "lower" transducer. Two additional transducers were left out of the water to correct for barometric pressure fluctuations. At the time of deployment, the position of a reference point located on a t-post to which each transducer was mounted was measured with real-time kinematic GPS equipment. In addition, a tape down or the distance between the reference point to the water surface was recorded.The transducers collected a depth measurement every 15 minutes...
thumbnail
Evaluating technologies and approaches to detect the infiltration of fines into coarser materials has implications for monitoring the condition of habitat restoration sites. This goal motivated testing the efficacy of Fiber Optic Distributed Temperature Sensing (FO-DTS) as a technique for detecting the infiltration of fine sediment into gravels. Experiments were conducted in a laboratory flume at the USGS Geomorphology and Sediment Transport Laboratory (GSTL) in Golden, Colorado. A 10 meter fiber optic cable was placed in the flume with one half of the cable buried approximately 6 centimeters in a substrate (gravel, sand, and mixtures of the two) along the length of the flume, while the other half was placed at...
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 four rivers in Alaska from August 8-9, 2017 to support research related to remote sensing of river discharge. Data were acquired for the Knik, Matanuska, Chena and Salcha Rivers using a Riegl VQ-580 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), an intensity or reflectence digital surface model (DSM) both in GeoTiff format, and compressed binary LAS files (LAZ) for each...
thumbnail
A topographic and bathymetric survey was collected along a reach of the Green River downstream of Dinosaur National Monument. The surveyed reach extends approximately 16 kilometers upstream and 6 kilometers downstream of the U.S. Route 40 bridge near Jensen, Utah. The topographic and bathymetric data include survey point data for 382 cross sections over 22 kilometers and are provided as a text file of easting, northing and elevation, in meters. The cross-section location data were collected using real-time kinematic Global Navigation Satellite Systems (GNSS) by USGS personnel from March 26, 2018, through March 29, 2018 using a combination of Sound Navigation and Ranging (SONAR) and wading techniques.
thumbnail
This data release includes the data and code used for the paper titled "A framework to facilitate development and testing of image-based river velocimetry algorithms", published in the journal Earth Surface Processes and Landforms. Three *.csv files and five *.m files with MATLAB source code are included below. Each *.csv file contains output from a hydrodynamic model of a reach of the Sacramento River near Glenn, California, with a separate file for each of three different discharges (i.e., streamflow rates): 90, 191, and 255 cubic meters per second. The hydrodynamic model used for this purpose was the Nays2DH solver available within the International River Cooperative Interface (iRIC). Provided below is a link...
thumbnail
This data release consists of an orthophoto of the Tanana River in Alaska acquired on July 24, 2019. The orthophoto was 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 Tanana 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 adjustment...
thumbnail
This data release includes cross section survey data collected during site visits to USGS gaging stations located throughout the Willamette and Delaware River Basins and multispectral images of these locations acquired as close in time as possible to the date of each site visit. In addition, MATLAB source code developed for the Bathymetric Mapping using Gage Records and Image Databases (BaMGRID) framework is also provided. The site visit data were obtained from the Aquarius Time Series database, part of the USGS National Water Information System (NWIS), using the Publish Application Programming Interface (API). More specifically, a custom MATLAB function was used to query the FieldVisitDataByLocationServiceRequest...
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 four rivers in Alaska from July 24-26, 2019 to support research related to remote sensing of river discharge. Data were acquired for the Matanuska, Chena, Salcha, and Tanana Rivers using a Riegl VQ-580 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 lidar point files in laz format for each river surveyed. Additionally, CRREL reports for each river...
thumbnail
The U.S. Geological Survey collected thermal image time series from five rivers in Alaska September 18–20, 2016, to support research on remote sensing of river discharge. The image time series were acquired from bridges across the Knik, Matanuska, Chena, and Salcha Rivers and Montana Creek using a FLIR SC8340 mid-infrared (3–5 microns) camera operated at a rate of 10 frames/second. The original FLIR *.ast format video 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,...


map background search result map search result map Field spectra from rivers in Alaska, September 19–21, 2016 Thermal image time series from rivers in Alaska, September 18–20, 2016 ADCP data from rivers in Alaska, September 18–20, 2016 Hyperspectral image data and field measurements used for bathymetric mapping of the Deschutes River near Bend, OR Bathymetric survey of the Green River near Jensen, Utah, March 26-29, 2018 Data from a flume investigation using Fiber Optic Distributed Temperature Sensing (FO-DTS), U.S. Geological Survey Geomorphology and Sediment Transport Laboratory, Golden, Colorado, spring 2018 Topographic LiDAR surveys of rivers in Alaska, August 8-9, 2017 Hydrographic surveys collected to monitor fish spawning reef placements, Detroit River, Michigan, June 23-24, 2015 Hydrographic surveys collected to monitor fish spawning reef placements, Detroit and St. Clair Rivers, Michigan, July 23-25, 2018 Topographic LiDAR surveys of rivers in Alaska, August 27-September 1, 2018 Water-surface elevations derived from submersible pressure transducers deployed along the Salcha River, Alaska, July-October 2018 Water-surface elevations derived from submersible pressure transducers deployed along the Green River near Jensen, Utah, February-September, 2018 Topographic LiDAR surveys of rivers in Alaska, July 24-26, 2019 Data from a flume investigation using Fiber Optic Distributed Temperature Sensing (FO-DTS), U.S. Geological Survey Geomorphology and Sediment Transport Laboratory, Golden, Colorado, fall 2019 Geo-referenced orthophotos of the Tanana River, Alaska, acquired July 24, 2019 Geo-referenced orthophotographs of the Snow River, Alaska, acquired September 1, 2018 Acoustic Doppler Current Profiler (ADCP) field measurements of flow velocity from the Tanana and Nenana Rivers, Alaska, collected on August 18, 2021 Model Archive: Simulation of Sediment Transport, Middle Channel of St. Clair River Delta, Michigan Hydrodynamic model output and image simulation code for evaluating image-based river velocimetry from a case study on the Sacramento River near Glenn, California Site visit cross section surveys and multispectral image data from gaging stations throughout the Willamette and Delaware River Basins from 2022 and code for Bathymetric Mapping using Gage Records and Image Databases (BaMGRID) Data from a flume investigation using Fiber Optic Distributed Temperature Sensing (FO-DTS), U.S. Geological Survey Geomorphology and Sediment Transport Laboratory, Golden, Colorado, fall 2019 Hydrodynamic model output and image simulation code for evaluating image-based river velocimetry from a case study on the Sacramento River near Glenn, California Model Archive: Simulation of Sediment Transport, Middle Channel of St. Clair River Delta, Michigan Geo-referenced orthophotos of the Tanana River, Alaska, acquired July 24, 2019 Water-surface elevations derived from submersible pressure transducers deployed along the Salcha River, Alaska, July-October 2018 Acoustic Doppler Current Profiler (ADCP) field measurements of flow velocity from the Tanana and Nenana Rivers, Alaska, collected on August 18, 2021 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 Bathymetric survey of the Green River near Jensen, Utah, March 26-29, 2018 Data from a flume investigation using Fiber Optic Distributed Temperature Sensing (FO-DTS), U.S. Geological Survey Geomorphology and Sediment Transport Laboratory, Golden, Colorado, spring 2018 Water-surface elevations derived from submersible pressure transducers deployed along the Green River near Jensen, Utah, February-September, 2018 Hydrographic surveys collected to monitor fish spawning reef placements, Detroit River, Michigan, June 23-24, 2015 Hydrographic surveys collected to monitor fish spawning reef placements, Detroit and St. Clair Rivers, Michigan, July 23-25, 2018 Topographic LiDAR surveys of rivers in Alaska, August 8-9, 2017 Thermal image time series from rivers in Alaska, September 18–20, 2016 ADCP data from rivers in Alaska, September 18–20, 2016 Topographic LiDAR surveys of rivers in Alaska, July 24-26, 2019 Topographic LiDAR surveys of rivers in Alaska, August 27-September 1, 2018 Site visit cross section surveys and multispectral image data from gaging stations throughout the Willamette and Delaware River Basins from 2022 and code for Bathymetric Mapping using Gage Records and Image Databases (BaMGRID) Field spectra from rivers in Alaska, September 19–21, 2016