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 to conventional field-based methods of measuring velocity and become an important component of non-contact approaches to streamgaging. This parent data release includes links to child pages for several data sets produced during the study: Field measurements of flow velocity from the Tanana River, Alaska, July 24, 2019 - these data were collected with an Acoustic Doppler Current Profiler (ADCP) Geo-referenced orthophotos of the Tanana River, Alaska, acquired July 24, 2019 - these high spatial resolution orthophotos were used as a base for geo-referencing images extracted from the video Satellite video and individual image frames from the Tanana River, July 14, 2020, for Particle Image Velocimetry - these data were used to infer surface flow velocities. 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 in sediment-laden rivers from satellite video using particle image velocimetry (PIV) techniques.
|Title||Satellite video and field measurements of flow velocity acquired from the Tanana River in Alaska and used for particle image velocimetry (PIV)|
|Authors||Carl J Legleiter, Paul J Kinzel|
|Product Type||Data Release|
|Record Source||USGS Digital Object Identifier Catalog|
|USGS Organization||Integrated Modeling & Prediction Division|