Comparison of software accuracy to estimate the bed grain size distribution from digital images: A test performed along the Rhine River
Author:
Affiliation:
1. CNRS UMR 7362 LIVE University of Strasbourg Strasbourg France
Publisher
Wiley
Subject
General Environmental Science,Water Science and Technology,Environmental Chemistry
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/rra.3910
Reference28 articles.
1. Historical geomorphic analysis (1932–2011) of a by-passed river reach in process-based restoration perspectives: The Old Rhine downstream of the Kembs diversion dam (France, Germany)
2. A new and practical method to obtain grain size measurements in sandy shores based on digital image acquisition and processing
3. Field test comparison of an autocorrelation technique for determining grain size using a digital ‘beachball’ camera versus traditional methods
4. Modeling river bed morphology, roughness, and surface sedimentology using high resolution terrestrial laser scanning
5. Bunte K.&Abt S. R.(2001).Sampling surface and subsurface particle‐size distributions in wadable gravel‐and cobble‐bed streams for analyses in sediment transport hydraulics and streambed monitoring(RMRS‐GTR‐74; p. RMRS‐GTR‐74). Technical report. U.S. Department of Agriculture Forest Service Rocky Mountain Research Station.https://doi.org/10.2737/RMRS-GTR-74
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