Skip to main content

Field measurements of flow velocity from the Tanana River, Alaska, July 24, 2019

Dates

Acquisition
2019-07-24
Publication Date

Citation

Legleiter, C.J., and Kinzel, P.J., 2021, Satellite video and field measurements of flow velocity acquired from the Tanana River in Alaska and used for particle image velocimetry (PIV): U.S. Geological Survey data release, https://doi.org/10.5066/P9ZY5LK1.

Summary

Field measurements of flow velocity were acquired from a reach of the Tanana River near Nenana, Alaska, July 24, 2019, 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 [...]

Contacts

Attached Files

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

TananaADCP.jpg
“View of Tanana River with ADCP used to measure velocity in foreground”
thumbnail 50.81 KB image/jpeg
Tanana07242019adcpXYUV.csv
“Text file with ADCP measurements: x,y coordinates and u,v vector components”
51.5 KB text/csv

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 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 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 satellite video 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/P9ZY5LK1

Item Actions

View Item as ...

Save Item as ...

View Item...