Next Article in Journal
SPH Simulation of Interior and Exterior Flow Field Characteristics of Porous Media
Previous Article in Journal
Interplay between Fingering Instabilities and Initial Soil Moisture in Solute Transport through the Vadose Zone
Previous Article in Special Issue
Comparative Assessment of Fluvial Suspended Sediment Concentration Analysis Methods
Open AccessArticle

Image-Based Bed Material Mapping of a Large River

1
Department of Hydraulic and Water Resources Engineering, Budapest University of Technology and Economics, Budapest 1111, Hungary
2
Water Management Research Group of the Loránd Eötvös Research Network, Budapest 1111, Hungary
*
Author to whom correspondence should be addressed.
Water 2020, 12(3), 916; https://doi.org/10.3390/w12030916 (registering DOI)
Received: 13 January 2020 / Revised: 5 March 2020 / Accepted: 20 March 2020 / Published: 24 March 2020
The composition or bed material plays a crucial role in the physical hydromorphological processes of fluvial systems. However, conventional bed material sampling methods provide only pointwise information, which can be inadequate when investigating large rivers of inhomogeneous bed material characteristics. In this study, novel, image-based approaches are implemented to gain areal information of the bed surface composition using two different techniques: monocular and stereo computer vision. Using underwater videos, captured in shorter reaches of the Hungarian Danube River, a comparison of the bed material grain size distributions from conventional physical samplings and the ones reconstructed from the images is carried out. Moreover, an attempt is made to quantify bed surface roughness, using the so-called Structure from Motion image analysis method. Practical aspects of the applicability of image-based bed material mapping are discussed and future improvements towards an automatized mapping methodology are outlined. View Full-Text
Keywords: bed material mapping; image processing; grain size distribution; structure-from-motion; surface roughness; field measurements; rivers; morphodynamics bed material mapping; image processing; grain size distribution; structure-from-motion; surface roughness; field measurements; rivers; morphodynamics
Show Figures

Figure 1

MDPI and ACS Style

Ermilov, A.A.; Baranya, S.; Török, G.T. Image-Based Bed Material Mapping of a Large River. Water 2020, 12, 916.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop