Field measurements of flow depth from the Salcha River, Alaska, 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
Field measurements of flow depth were acquired from a reach of the Salcha River in Alaska, July 25, 2019, to support research on estimating water depth from remotely sensed data via spectrally based techniques. The depth 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 depths 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 are UTM Zone 6 N and NAD 83, respectively. This data release [...]
Summary
Field measurements of flow depth were acquired from a reach of the Salcha River in Alaska, July 25, 2019, to support research on estimating water depth from remotely sensed data via spectrally based techniques. The depth 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 depths 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 are UTM Zone 6 N and NAD 83, respectively. This data release consists of a single comma-delimited (*.csv) text file with four columns: Easting_m, Northing_m, Depth_m, and XsNumber. The first two columns are the easting and northing spatial coordinates, respectively, and the third column contains the depth measurements. The units of both the coordinates and the depths are meters. The fourth column is a numeric identifier that links each measurement point to a channel cross section. This field-based data set was used to calibrate remotely sensed depth estimates derived from passive optical image sequences and to assess the accuracy of these depth estimates.
Click on title to download individual files attached to this item.
SalchaDepthMetadata.xml “Metadata describing the data and how the data were acquired and processed” Original FGDC Metadata
View
15.72 KB
application/fgdc+xml
SalchaXYDxsNo.csv “Text file with ADCP measurements: x,y coordinates, depths, and cross-section #'s”
109.43 KB
text/csv
SalchaADCP.jpg “Acoustic Doppler Current Profiler (ADCP) used to measure velocity on the Salcha.”
189.23 KB
image/jpeg
Related External Resources
Type: Related Primary Pubication
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. This field-based data set was used to calibrate remotely sensed depth estimates derived from passive optical image sequences and to assess the accuracy of these depth estimates.
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
Acoustic Doppler Current Profiler (ADCP) used to measure velocity on the Salcha.