- Start Date
- 2017-09-26
- End Date
- 2017-09-27
- Publication Date
- 2019-03-21
Legleiter, C.J., and Fosness, R.L., 2019, Hyperspectral image data and multibeam echosounder surveys used for bathymetric mapping of the Kootenai River in northern Idaho, September 26-27, 2017, U.S. Geological Survey data release, https://doi.org/10.5066/P9K54WDL.
To support research on remote sensing of rivers, hyperspectral image data and supporting field measurements of water depth obtained with a multibeam echosounder were acquired from a segment of the Kootenai River in northern Idaho, September 26 and 27, 2017. These data sets also facilitate efforts to characterize in-stream habitat for sturgeon, understand and model dispersion processes, and monitor geomorphic change along the Kootenai River. This parent data release includes links to child pages for the following data sets: 1) airborne hyperspectral image data acquired from a conventional, manned, fixed-wing aircraft; 2) ground-based depth measurements obtained during a multibeam echosounder survey; and 3) in situ measurements of [...]
To support research on remote sensing of rivers, hyperspectral image data and supporting field measurements of water depth obtained with a multibeam echosounder were acquired from a segment of the Kootenai River in northern Idaho, September 26 and 27, 2017. These data sets also facilitate efforts to characterize in-stream habitat for sturgeon, understand and model dispersion processes, and monitor geomorphic change along the Kootenai River. This parent data release includes links to child pages for the following data sets:
1) airborne hyperspectral image data acquired from a conventional, manned, fixed-wing aircraft;
2) ground-based depth measurements obtained during a multibeam echosounder survey; and
3) in situ measurements of various optical properties of the water column, including data from several other rivers.
Please refer to the individual child pages for further detail about each data set. Overall, these data were used to develop improved methods of estimating water depth from remotely sensed data.
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
The various data sets comprising this data release were used to develop improved methods of estimating water depth from remotely sensed data. This type of bathymetric information can be used to characterize river morphology and in-stream habitat and could be incorporated into techniques for measuring river discharge via remote sensing.
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