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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...
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This data release includes videos acquired from a helicopter and field measurements of flow depth and velocity from the Tanana River near Nenana, Alaska, obtained on July 24, 2019. 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 depth and velocity from the Tanana River, Alaska, collected on July 24, 2019. 2. Videos of the Tanana River, Alaska, acquired from a helicopter on July 24, 2019. Please refer to the individual child pages for further detail about each data set. Overall, these data were used to assess the potential to estimate surface flow velocities and water depths in sediment-laden...
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To support an investigation of the feasibility of measuring river bathymetry using a polarizing lidar sensor, lidar and field measurements were collected on the Colorado River near Lees Ferry, Arizona on September 23, 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 sonar surveys of bed topography used to evaluate the bathymetric mapping capabilities of the ASTRALiTe lidar. 3) Field-based measurements with instruments used...
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This data release includes a video acquired from a satellite and field measurements of flow velocity from the Tanana River in Alaska that were used to derive remotely sensed estimates of surface flow velocities via particle image velocimetry (PIV). The field data were collected on July 24, 2019, in cooperation with the USGS Alaska Science Center, and the satellite video was obtained on July 14, 2020. The purpose of this study was to assess the feasibility of inferring flow velocities from video acquired from a satellite in orbit above the river by tracking water surface features via a Particle Image Velocimetry (PIV) algorithm. Remote sensing of flow velocity could provide a more efficient, cost-effective alternative...
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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...
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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...
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Aerial photographs of the Yampa and Little Snake Rivers acquired in 1954 and 1961 were used to examine channel changes occurring along these two rivers during this time period. In addition, these data were used to develop and test a generalizable new approach to characterizing the uncertainty associated with analyses of channel change based on time series of remotely sensed data, which we term the Spatially Distributed Probabilistic (SDP) method. This technique accounts for errors introduced during: 1) image co-registration and geo-referencing; 2) interpreting the location of the channel boundary; and 3) digitizing the channel boundary. The method provides a probability distribution of channel locations and can...
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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,...
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Remotely sensed imagery is increasingly used by emergency managers to monitor and map the impact of flood events to support preparedness, response, and critical decision making throughout the flood event lifecycle. To reduce latency in delivery of imagery-derived information, ensure consistent and reliably derived map products, and facilitate processing of an increasing volume of remote sensing data-streams, automated flood mapping workflows are needed. The U.S. Geological Survey is facilitating the development and integration of machine-learning algorithms in collaboration with NASA, National Geospatial Intelligence Agency (NGA), University of Alabama, and University of Illinois to create a workflow for rapidly...
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The U.S. Geological Survey is testing deployments of continuous Large-Scale particle Image Velocimetry (LSPIV) streamgaging stations in areas with flashy flow regimes to measure streamflow during flood events. Videos were collected for the purpose of LSPIV streamflow analysis at a stage-discharge streamgaging station in a small, flashy urban stream in Urbana, Illinois, USA (Boneyard Creek at Urbana, IL, 03337000) with an internet protocol (IP) camera. The IP camera is mounted on the bottom of a walkway bridge spanning the creek at the gaging location, and is aimed to view the water for optimal camera perspective at all flow stages. Videos of peak streamflow events with gage height above 12 feet (local gage datum)...
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This data release includes field spectra, UAS-based hyperspectral and RGB images, and in situ measurements of turbidity and Rhodamine WT dye concentration acquired during an experiment performed at the USGS Columbia Environmental Research Center, near Columbia, Missouri, on April 2, 2019. The purpose of the experiment was to assess the feasibility of inferring concentrations of a visible dye (Rhodamine WT) tracer from various types of remotely sensed data in water with varying levels of turbidity. Whereas previous research on remote sensing of tracer dye concentrations has focused on clear-flowing streams, the Missouri River is much more turbid and the reflectance signal associated with the sediment-laden water...
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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 data release includes various data sets used to quantify the capacity of two rivers, the Merced and Tuolumne, in the Sierra Nevada of California for reintroduction of two species of anadromous salmonids, Steelhead and spring-run Chinook Salmon. The child pages linked below provide access to the following data sets: Topo-bathymetric digital elevation models of the river channels and adjacent floodplains produced by fusing lidar topography of dry areas with information on water depth derived from hyperspectral images. Sediment grain size measurements at distinct points along each river derived from close-range photographs of bar surfaces. Together, these data sets were used to model the suitability of the...
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This dataset contains taxonomic and biovolume data for phytoplankton sampled from Detroit Lake, OR, in August, 2019, and August, 2020. Taxonomy is reported to the lowest possible taxonomic level along with total and percent biovolume. Surface grab samples for phytoplankton enumeration were collected with a van Dorn type sampler and then transferred into a clearn polycarbonate churn. Whole water samples were dispensed for total nutrients and phytoplankton identification and enumeration, the latter preserved with 1 percent Lugol's iodine solution. Samples were analyzed at BSA Environmental Services in Beachwood, Ohio. Cell numbers of all identified phytoplankton taxa were quantified on a per milliliter basis using...
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A series of field measurements of surface water velocity derived from video collected by small unoccupied aircraft systems (sUAS) was conducted at eight locations in Arizona, New Mexico, California, and Maine, USA during the summers of 2019 and 2020. The measurements are utilized to compute surface velocity and discharge using the Large-Scale Particle Image Velocimetry (LSPIV) image velocimetry method. This data release includes the original video and subsequent processing results of this analysis. Data are grouped into sections (child items) based on the data type and purpose: Ancillary Scripts: this child item contains Mathworks MATLAB script files which reproduce the processing steps for each dataset. Additional...
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 collected field spectra collected from the Niobrara River in Nebraska August 15–18, 2016, to support research on remote sensing of river discharge. Reflectance measurements were made by wading the Niobrara River near Norden Notch using an Analytical Spectral Devices FieldSpec3 spectroradiometer operated in reflectance mode. The original *.asd files are provided in this data release.
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Field measurements of water depth were collected from the Niobrara River, a dynamic, sand-bed channel in northern Nebraska, in November 2012 and again in August 2016 to support research on remote sensing of rivers, particularly retrieval of water depth and tracking of mobile bedforms. These data were obtained by conducting topographic surveys with Trimble R8 and R10 RTK GPS receivers with a local base station and also by measuring depths with a SonTek RiverSurveyor S5 acoustic Doppler current profiler (ADCP). The data are provided in a series of tables saved as *.csv files. All tables include, at a minimum, easting and northing spatial coordinates and depths; other attributes in some of the tables include descriptive...
Hyperspectral image data and field measurements of Rhodamine WT dye concentration were obtained during a tracer study conducted at the Korea Institute of Civil Engineering and Building Technology's River Experiment Center May 17-20, 2017, to support research on dispersion in river channels. The image data included in this data release were acquired using a Nano-Hyperspec (Headwall Photonics, Inc.) mounted on an Aerotestra ATNK09, a small multirotor unmanned aircraft system (UAS). The in situ concentration data were collected using electronic fluorometers (YSI 600-OMS sonde with 6130 Rhodamine WT sensor). Image time stamps were used to link concentration time series recorded by the sondes to specific pixels. The...
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A reach of the Sacramento River near Glenn, California, was selected as a field site to test a sensor payload developed by the U.S. Geological Survey and the National Aeronautics and Space Administration for estimating surface flow velocities in rivers. The payload, called the River Observing System (RiOS), can be deployed from an uncrewed aircraft system (UAS). RiOS includes visible and thermal cameras, a laser range finder, an inertial navigation system, an embedded computer for storing and processing data, and a wireless link for transmitting data to a ground station. This data release includes thermal imagery acquired by RiOS and stored in Robot Operating System (ROS) *.bag files. The bag files are organized...
map background search result map search result map Thermal image time series from rivers in Alaska, September 18–20, 2016 Field spectra from the Niobrara River, Nebraska, August 15-18, 2016 Field-based bathymetric surveys of the Niobrara River, Nebraska, November 2012 and August 2016 Topographic LiDAR surveys of rivers in Alaska, August 8-9, 2017 UAS-based remotely sensed data and field measurements from the Blue River and Colorado River, near Kremmling, Colorado, October 17-18, 2018 Field spectra, UAS-based hyperspectral and RGB images, and in situ measurements of turbidity and Rhodamine WT dye concentration from an experiment conducted at the USGS Columbia Environmental Research Center, Columbia, MO, on April 2, 2019 Videos collected for Image Velocimetry at Boneyard Creek at Urbana, IL from 2017 to 2018 Aerial photographs from the Yampa and Little Snake Rivers in northwest Colorado used to characterize channel changes occurring between 1954 and 1961 Image data and field measurements used to map salmon spawning locations via remote sensing, American River, California, November 5-7, 2018 Remotely sensed bathymetry and field measurements from the Colorado River near Lees Ferry, Arizona, September 23, 2019 Topographic and sediment grain size data used to evaluate potential habitat for anadromous salmonids on the upper Merced and Tuolumne Rivers in California Satellite-Derived Training Data for Automated Flood Detection in the Continental U.S. Satellite video and field measurements of flow velocity acquired from the Tanana River in Alaska and used for particle image velocimetry (PIV) Helicopter-based videos and field measurements of flow depth and velocity from the Tanana River, Alaska, acquired on July 24, 2019 Small Unoccupied Aircraft System Imagery and Associated Data used for Discharge Measurement at Eight Locations Across the United States in 2019 and 2020 Phytoplankton identification and biovolume data for field samples from Detroit Lake, Oregon, collected in August 2019 and August 2020 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) Thermal imagery acquired from an Uncrewed Aerial System (UAS) and hydroacoustic measurements of flow velocity collected along the Sacramento River, California, November, 2023 Videos collected for Image Velocimetry at Boneyard Creek at Urbana, IL from 2017 to 2018 UAS-based remotely sensed data and field measurements from the Blue River and Colorado River, near Kremmling, Colorado, October 17-18, 2018 Field spectra, UAS-based hyperspectral and RGB images, and in situ measurements of turbidity and Rhodamine WT dye concentration from an experiment conducted at the USGS Columbia Environmental Research Center, Columbia, MO, on April 2, 2019 Image data and field measurements used to map salmon spawning locations via remote sensing, American River, California, November 5-7, 2018 Hydrodynamic model output and image simulation code for evaluating image-based river velocimetry from a case study on the Sacramento River near Glenn, California Field-based bathymetric surveys of the Niobrara River, Nebraska, November 2012 and August 2016 Remotely sensed bathymetry and field measurements from the Colorado River near Lees Ferry, Arizona, September 23, 2019 Satellite video and field measurements of flow velocity acquired from the Tanana River in Alaska and used for particle image velocimetry (PIV) Thermal imagery acquired from an Uncrewed Aerial System (UAS) and hydroacoustic measurements of flow velocity collected along the Sacramento River, California, November, 2023 Aerial photographs from the Yampa and Little Snake Rivers in northwest Colorado used to characterize channel changes occurring between 1954 and 1961 Helicopter-based videos and field measurements of flow depth and velocity from the Tanana River, Alaska, acquired on July 24, 2019 Field spectra from the Niobrara River, Nebraska, August 15-18, 2016 Topographic and sediment grain size data used to evaluate potential habitat for anadromous salmonids on the upper Merced and Tuolumne Rivers in California Topographic LiDAR surveys of rivers in Alaska, August 8-9, 2017 Thermal image time series from rivers in Alaska, September 18–20, 2016 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) Small Unoccupied Aircraft System Imagery and Associated Data used for Discharge Measurement at Eight Locations Across the United States in 2019 and 2020 Satellite-Derived Training Data for Automated Flood Detection in the Continental U.S.