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Field measurements of flow velocity from the Salcha River, Alaska, August 31, 2018

Dates

Acquisition
2018-08-31

Citation

Legleiter, C.J., and Kinzel, P.J., 2020, 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): U.S. Geological Survey data release, https://doi.org/10.5066/P9IJ20O4.

Summary

Field measurements of flow velocity were acquired from a reach of the Salcha River in Alaska, August 31, 2018, 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. This data release provides depth-averaged flow velocities derived from the raw ADCP data using the TRDI WinRiver II processing software. The spatial location of each velocity measurement was obtained using a differential GPS included as part of the RiverRay instrument package. The map projection and datum for these data are [...]

Contacts

Attached Files

Click on title to download individual files attached to this item.

SalchaAdcpXYUV.csv
“Text file with ADCP measurements: x,y coordinates and u,v vector components”
7.4 KB text/csv
SalchaADCP.jpg
“Acoustic Doppler Current Profiler (ADCP) used to measure velocity on the Salcha.”
thumbnail 189.23 KB image/jpeg

Material Request Instructions

For questions concerning this data set, please contact:

Dr. Carl J. Legleiter - cjl@usgs.gov, 303-271-3651
Geomorphology and Sediment Transport Laboratory
United States Geological Survey
4620 Technology Drive, Suite #400
Golden, CO 80403

Purpose

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 Particle Image Velocimetry (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 to conventional field-based methods of measuring velocity and become an important component of non-contact approaches to streamgaging. This field-based data set was used to assess the accuracy of remotely sensed estimates of surface flow velocity derived from optical image sequences via PIV.

Rights

Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier 10.5066/P9IJ20O4

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