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Comparing remote-sensing techniques collecting bathymetric data from a gravel-bed river

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ABSTRACT Quantifying bathymetry is essential in understanding the physical processes that control channel form and function. New applications in a wide range of disciplines have an urgent need for more… Click to show full abstract

ABSTRACT Quantifying bathymetry is essential in understanding the physical processes that control channel form and function. New applications in a wide range of disciplines have an urgent need for more continuous mapping of fluvial topography. Recent advances in through-water photogrammetry and optical imagery indicate that accurate, continuous bathymetric mapping may be possible in shallow, clear streams. This research directly compares the ability of through-water photogrammetry and spectral depth approaches to extract water depth for environmental applications. Imagery and cross sections were collected on a 140 m reach of the Salmon River in Clackamas County, Oregon, using an unmanned aerial vehicle (UAV) and real time kinematic (rtk)-GPS. Structure-from-Motion (SfM) software produced a digital elevation model (DEM) (1.5 cm) and orthophotograph (0.37 cm) derived from these data. The photogrammetric approach of applying a site-specific refractive index provided the most accurate (mean error, ME, 0.009 m) and precise (standard deviation of error, SD, 0.17 m) bathymetric data (R2 = 0.67) over the spectral depth and the 1.34 refractive index approaches. This research provides a quantitative comparison between and within bathymetric mapping methods, and suggests that a site-specific refractive index may be appropriate for similar gravel-bed, relatively shallow, clear streams.

Keywords: bathymetric data; river; remote sensing; gravel bed; refractive index

Journal Title: International Journal of Remote Sensing
Year Published: 2017

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