Videos of the Tanana River, Alaska, acquired from a helicopter on July 24, 2019
Dates
Acquisition
2019-07-24
Publication Date
2021-11-08
Citation
Legleiter, C.J., and Kinzel, P.J., 2021, Helicopter-based videos and field measurements of flow depth and velocity from the Tanana River, Alaska, acquired on July 24, 2019: U.S. Geological Survey data release, https://doi.org/10.5066/P9A7J0AN.
Summary
This data release consists of a series of videos used to derive remotely sensed estimates of surface flow velocity via particle image velocimetry (PIV). These data were acquired from the Tanana River near Nenana, Alaska, on July 24, 2019, along with field measurements of flow velocity used to assess the accuracy of image-derived velocity estimates. The videos were obtained using a Zenmuse X5 video camera deployed within a Meeker mount attached to the nose of a Robinson R44 helicopter. The data release includes a total of 14 individual videos obtained while the helicopter hovered at a series of different locations above the river channel to provide reach-scale coverage. Each of these videos was recorded at 30 frames per second while [...]
Summary
This data release consists of a series of videos used to derive remotely sensed estimates of surface flow velocity via particle image velocimetry (PIV). These data were acquired from the Tanana River near Nenana, Alaska, on July 24, 2019, along with field measurements of flow velocity used to assess the accuracy of image-derived velocity estimates. The videos were obtained using a Zenmuse X5 video camera deployed within a Meeker mount attached to the nose of a Robinson R44 helicopter. The data release includes a total of 14 individual videos obtained while the helicopter hovered at a series of different locations above the river channel to provide reach-scale coverage. Each of these videos was recorded at 30 frames per second while the helicopter hovered in a fixed location approximately 600 m above the river. The videos were not geo-referenced or stabilized to account for motion of the helicopter platform during acquisition, but users of these data could perform geo-referencing and stabilization operations using individual image frames extracted from the videos. The entire series of .mov format video files is contained within a zip archive.
Click on title to download individual files attached to this item.
TananaVideoMetadataRev1.xml “Metadata describing the data and how it was obtained and processed.” Original FGDC Metadata
View
14.63 KB
application/fgdc+xml
TananaExampleImage.JPG “Example image extracted from video of the Tanana River used to perform PIV.”
36.92 KB
image/jpeg
“Zip archive with a series of *.mov format video files acquired along the river”
7 GB
application/zip
Material Request Instructions
For questions concerning this data set, please contact:
Dr. Carl J. Legleiter - cjl@usgs.gov
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 estimating surface flow velocities and water depths from optical image sequences acquired from a helicopter hovering above the river by tracking water surface features via PIV and inferring depths via a flow resistance equation. Along with field measurements of flow velocity and water depth used for accuracy assessment, these data were used to assess the potential to estimate surface flow velocities and water depths in sediment-laden rivers from helicopter-based videos using particle image velocimetry (PIV) techniques and flow resistance equations. Remote sensing of flow velocities and depths could provide a more efficient, cost-effective alternative to conventional field-based methods of measuring channel hydraulics and thus become an important component of non-contact approaches to streamgaging.
Rights
Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
Preview Image
Example image extracted from video of the Tanana River used to perform PIV.