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Remote Sens. 2013, 5(9), 4571-4592; doi:10.3390/rs5094571

3D Modeling of Coarse Fluvial Sediments Based on Mobile Laser Scanning Data

Department of Geography and Geology, University of Turku, FI-20014 Turku, Finland
Department of Remote Sensing and Photogrammetry, Finnish Geodetic Institute, P.O. Box 15, FI-02431 Masala, Finland
Department of Real Estate, Planning and Geoinformatics, School of Engineering, Aalto University, FI-00076 Aalto, Finland
Author to whom correspondence should be addressed.
Received: 28 July 2013 / Revised: 6 September 2013 / Accepted: 6 September 2013 / Published: 16 September 2013
(This article belongs to the Special Issue Advances in Mobile Laser Scanning and Mobile Mapping)
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High quality sedimentary measurements are required for studying fluvial geomorphology and hydrological processes e.g., flood and river dynamics. Mobile laser scanning (MLS) currently provides the opportunity to achieve high precision measurements of coarse fluvial sediments in a large survey area. Our study aims to investigate the capability of single-track MLS data for individual particle-based sediment modeling. Individual particles are firstly detected and delineated from a digital surface model (DSM) that is generated from the MLS data. 3D MLS points of each detected individual particle are then extracted from the point cloud. The grain size and the sphericity as well as the orientation of each individual particle are estimated based on the extracted MLS points. According to the evaluations conduced in the paper, it is possible to detect and to model sediment particles above 63 mm from a single-track MLS point cloud with a high reliability. The paper further discusses the strength and the challenges of individual particle-based approach for sedimentary measurement. View Full-Text
Keywords: mobile laser scanning; Individual Grain Model; grain size; grain shape; fluvial morphology; Finland mobile laser scanning; Individual Grain Model; grain size; grain shape; fluvial morphology; Finland

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Wang, Y.; Liang, X.; Flener, C.; Kukko, A.; Kaartinen, H.; Kurkela, M.; Vaaja, M.; Hyyppä, H.; Alho, P. 3D Modeling of Coarse Fluvial Sediments Based on Mobile Laser Scanning Data. Remote Sens. 2013, 5, 4571-4592.

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