Next Article in Journal
Landscape Classification with Deep Neural Networks
Next Article in Special Issue
Efficiency of a Digital Particle Image Velocimetry (DPIV) Method for Monitoring the Surface Velocity of Hyper-Concentrated Flows
Previous Article in Journal
Site Characterization by Dynamic In Situ and Laboratory Tests for Liquefaction Potential Evaluation during Emilia Romagna Earthquake
Previous Article in Special Issue
Multicamera, Multimethod Measurements for Hydromorphologic Laboratory Experiments
Open AccessArticle

PHOTOSED—PHOTOgrammetric Sediment Erosion Detection

Institute for Modelling Hydraulic and Environmental Systems, University of Stuttgart, Pfaffenwaldring 61, 70569 Stuttgart, Germany
*
Author to whom correspondence should be addressed.
Geosciences 2018, 8(7), 243; https://doi.org/10.3390/geosciences8070243
Received: 2 June 2018 / Revised: 28 June 2018 / Accepted: 29 June 2018 / Published: 30 June 2018
(This article belongs to the Special Issue Laboratory Geosciences: Modelling Surface Processes)
This work presents a novel high-resolution photogrammetric measuring technique (PHOTOSED) to study in detail the erosion behavior of cohesive sediments, or cohesive/non-cohesive sediment mixtures. PHOTOSED uses a semiconductor laser to project a pseudo-random pattern of light points on a sediment surface and applies the Dense Optical Flow (DOF) algorithm to measure the erosion volume based on displacements of the projected light points during the sediment erosion process. Based on intensive calibration and verification experiments, the accuracy and applicability of the method has been validated for a wide range of erosion volumes, encompassing several orders of magnitude, which is required for investigations of natural sediment mixtures. The high spatial resolution of PHOTOSED is especially designed to detect the substantial variability of erosion rates during exemplary erosion experiments, which allows for further in-depth investigations of the erosion process of cohesive sediments and cohesive/non-cohesive sediment mixtures. View Full-Text
Keywords: cohesive sediments; cohesive/non-cohesive sediment mixtures; erosion behavior; high-spatial resolution measurements; photogrammetric measurements cohesive sediments; cohesive/non-cohesive sediment mixtures; erosion behavior; high-spatial resolution measurements; photogrammetric measurements
Show Figures

Figure 1

MDPI and ACS Style

Noack, M.; Schmid, G.; Beckers, F.; Haun, S.; Wieprecht, S. PHOTOSED—PHOTOgrammetric Sediment Erosion Detection. Geosciences 2018, 8, 243.

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