Filters: Tags: Velocity (X) > Date Range: {"choice":"year"} (X) > Types: OGC WFS Layer (X)

Filters Date Types (for Date Range) Types Map Service (4) OGC WMS Layer (4) OGC WMS Service (4) Contacts Carl J Legleiter U.S. Geological Survey U.S. Geological Survey - ScienceBase Water Resources Branden L Vonins More... Categories Data (3) Tag Types Theme (4) USGS Scientific Topic Keyword (4) Place (4) Harvest Set (4) Tag Schemes none (1) USGS Thesaurus (2) Geographic Names Information System (GNIS) (1) Geographic Names Information System (1) ISO 19115 Topic Category (1) View Results as: JSON ATOM CSV

Measurements of velocity and bathymetry in the Ashtabula River near Ashtabula, Ohio, July 12–14, 2022 These data are depth-averaged velocities measured by an acoustic Doppler current profiler (ADCP), as well as continuous depth-averaged velocities from a stationary location measured with an acoustic Doppler velocity meter (ADVM). These data were collected from the July 12-14, 2022, survey of the Ashtabula River near Ashtabula, Ohio. The location of the ADCP data are from approximately 1,500 feet upstream from the Bridge Street bridge to 3,000 feet upstream from the Bridge Street bridge. The ADVM data are from approximately 41° 53' 46.4"N, 80° 47' 39.5"W. ADCP data were collected using an integrated global navigation satellite system (GNSS) smart antenna with submeter accuracy. The ADCP and GNSS antenna were mounted... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: ADCP, ADVM, Ashtabula, Bathymetry, Ecology, All tags... Geomorphology, Ohio, USGS Science Data Catalog (SDC), Velocity, Water Quality, geoscientificInformation, Fewer tags 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) 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... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: California, Geomorphology, Glenn, Hydrology, Particle Image Velocimetry (PIV), All tags... Remote Sensing, Remote sensing, River, Sacramento River, USGS Science Data Catalog (SDC), Uncrewed Aircraft Systems (UAS), Water Resources, velocity, video, Fewer tags Hydrodynamic model output and image simulation code for evaluating image-based river velocimetry from a case study on the Sacramento River near Glenn, California 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... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: California, Geomorphology, Glenn, Hydrodynamic model, Hydrology, All tags... Image velocimetry, Particle Image Velocimetry (PIV), Remote Sensing, Remote sensing, River, Sacramento River, USGS Science Data Catalog (SDC), Velocity, Water Resources, Fewer tags Selected Inputs of Siting Considerations for Satellite Observation of River Discharge Uncertainty of satellite discharge estimates is affected by choice of satellite sensor, hydraulic variable for observation, and discharge estimation algorithm, as well as the availability of ground-calibration data. Site selection is very important for reducing error and uncertainty in both conventional and satellite-based discharge measurements because geomorphic river characteristics have strong control over the relationships between discharge and depth, width, slope, and velocity. A ground-truth data set of 8,445 conventional hydraulic measurements, collected by acoustic Doppler current profilers (ADCP) at 503 stations in the United States was developed to examine correlation between river discharge and river... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: ADCP, HYDRoSWOT, Hydrology, NASA, Remote Sensing, All tags... SWOT, USGS Science Data Catalog (SDC), United States, cross-section, depth, discharge, regression, remote sensing, satellite, slope, velocity, width, Fewer tags