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Depth measurements from the Snake River in Grand Teton National Park, WY, August 19-24, 2015

Published by U.S. Geological Survey | Department of the Interior | Metadata Last Checked: January 27, 2026 | Last Modified: 2020-08-31T00:00:00Z
Field measurements of water depth were acquired from a reach of the Snake River in Grand Teton National Park, WY, August 19-24, 2015, to support research on channel change along the Snake River and, more broadly, remote sensing of rivers. The depth measurements included in this data release were obtained by wading the shallow channel margins and measuring the water depth directly on a top-setting wading rod used to collect flow velocity data with an acoustic Doppler velocimeter (ADV). For the deeper areas representing most of the channel, depths were recorded along a series of cross-sections by a SonTek RiverSurveyor M9 acoustic Doppler current profiler (ADCP) deployed from a kayak with the vertical beam of the M9 used as the depth reference. The spatial location of each wading measurement was obtained via a Trimble Geo7X handheld GPS receivers. For the ADCP-based depth measurements, postitions were defined uisng two Hemisphere 101 real-time kinematic (RTK) GPS receivers: one was mounted on the kayak directly aboce the ADCP and the second was mounted on a tripod to serve as a local base station. Both of the RTK GPS receivers were included as part of the RiverSurveyor M9 ADCP instrument package. The data from the Trimble Geo7X were differentially corrected using the Trimble Pathfinder Office software and a network of publicly available continuously operating reference stations (i.e., base stations) located in the surrounding area. The map projection and datum for these data are UTM Zone 12 N and WGS84, respectively. The wading and ADCP-based depth measurements are combined for the purposes of this data release, which consists of a comma-delimited (*.csv) text file with three columns: Easting, Northing, and depth; the units of the spatial coordinates and the depths are meters. This ground-based data set played a critical role in developing improved methods for mapping river bathymetry from remotely sensed data.

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