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Remote Sens. 2017, 9(3), 240; doi:10.3390/rs9030240

UAV-Based Optical Granulometry as Tool for Detecting Changes in Structure of Flood Depositions

1
Department of Physical Geography and Geoecology, Faculty of Science, Charles University in Prague, Albertov 6, 12843 Prague, Czech Republic
2
Department of Geoinformatics, Palacky University in Olomouc, 17. listopadu 50, 77146 Olomouc, Czech Republic
3
Institute of Rock Structure and Mechanics, Academy of Sciences, V Holešovičkách 94/41, 18209 Prague, Czech Republic
*
Author to whom correspondence should be addressed.
Academic Editors: Eman Ghoneim, Jose Moreno and Prasad S. Thenkabail
Received: 5 February 2017 / Revised: 26 February 2017 / Accepted: 2 March 2017 / Published: 7 March 2017
View Full-Text   |   Download PDF [6847 KB, uploaded 7 March 2017]   |  

Abstract

This paper presents a new non-invasive technique of granulometric analysis based on the fusion of two imaging techniques, Unmanned Aerial Vehicles (UAV)-based photogrammetry and optical digital granulometry. This newly proposed technique produces seamless coverage of a study site in order to analyze the granulometric properties of alluvium and observe its spatiotemporal changes. This proposed technique is tested by observing changes along the point bar of a mid-latitude mountain stream. UAV photogrammetry acquired at a low-level flight altitude (at a height of 8 m) is used to acquire ultra-high resolution orthoimages to build high-precision digital terrain models (DTMs). These orthoimages are covered by a regular virtual grid, and the granulometric properties of the grid fields are analyzed using the digital optical granulometric tool BaseGrain. This tested framework demonstrates the applicability of the proposed method for granulometric analysis, which yields accuracy comparable to that of traditional field optical granulometry. The seamless nature of this method further enables researchers to study the spatial distribution of granulometric properties across multiple study sites, as well as to analyze multitemporal changes using repeated imaging. View Full-Text
Keywords: granulometry; UAV; photogrammetry; fluvial geomorphology; alluvial sediment; image processing granulometry; UAV; photogrammetry; fluvial geomorphology; alluvial sediment; image processing
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Langhammer, J.; Lendzioch, T.; Miřijovský, J.; Hartvich, F. UAV-Based Optical Granulometry as Tool for Detecting Changes in Structure of Flood Depositions. Remote Sens. 2017, 9, 240.

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