Field measurements of flow depth and optical image sequences acquired from the Salcha River, Alaska, on July 25, 2019
Dates
Acquisition
2019-07-25
Publication Date
2021-02-11
Citation
Legleiter, C.J., and Kinzel, P.J., 2021, Field measurements of flow depth and optical image sequences acquired from the Salcha River, Alaska, on July 25, 2019: U.S. Geological Survey data release, https://doi.org/10.5066/P9S4T8YM.
Summary
This data release includes field measurements of flow depth and optical image sequences acquired from the Salcha River in Alaska on July 25, 2019. These data were used to develop and test a spectrally based remote sensing technique for estimating water depth from passive optical image data. The purpose of this study was to assess the feasibility of inferring water depths from optical image sequences acquired from a helicopter hovering above the river by averaging the images over time and then establishing a correlation between a spectral band ratio and field measurements of depth, and to develop a modular workflow for performing this type of analysis. Remote sensing of river bathymetry (depth) could provide a more efficient, cost-effective [...]
Summary
This data release includes field measurements of flow depth and optical image sequences acquired from the Salcha River in Alaska on July 25, 2019. These data were used to develop and test a spectrally based remote sensing technique for estimating water depth from passive optical image data. The purpose of this study was to assess the feasibility of inferring water depths from optical image sequences acquired from a helicopter hovering above the river by averaging the images over time and then establishing a correlation between a spectral band ratio and field measurements of depth, and to develop a modular workflow for performing this type of analysis. Remote sensing of river bathymetry (depth) could provide a more efficient, cost-effective alternative to conventional field-based methods of measuring depth and become an important component of non-contact approaches to streamgaging, geomorphic characterization, and habitat assessment.
This parent data release includes links to child pages for several data sets produced during the study:
Acoustic Doppler Current Profiler (ADCP) field measurements of flow depth from the Salcha River collected on July 25, 2019.
High frame rate video acquired from the Salcha River on July 25, 2019, and used to estimate water depth.
High spatial resolution orthophotos produced from images acquired from the Salcha River on July 25, 2019, and used as a base for geo-refreencing images extracted from the video.
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 water depth in relatively clear-flowing, shallow rivers from helicopter-based, hovering image sequences using a spectrally based remote sensing technique.
Click on title to download individual files attached to this item.
Helicopter+ADCP.jpg “Helicopter used to acquire image sequences and ADCP used to measure velocities.”
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Related External Resources
Type: Related Primary Publication
Legleiter, C. J., & Kinzel, P. J. (2021). Improving Remotely Sensed River Bathymetry by Image-Averaging. Water Resources Research, 57(3), e2020WR028795. https://doi.org/10.1029/2020WR028795
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 water depths from optical image sequences acquired from a helicopter hovering above the river by averaging the images over time and then establishing a correlation between a spectral band ratio and field measurements of depth, and to develop a modular workflow for performing this type of analysis. Remote sensing of river bathymetry (depth) could provide a more efficient, cost-effective alternative to conventional field-based methods of measuring depth and become an important component of non-contact approaches to streamgaging, geomorphic characterization, and habitat assessment.
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
Helicopter used to acquire image sequences and ADCP used to measure velocities.