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

作者：Langhammer Jakub^*; Lendzioch Theodora; Mirijovsky Jakub; Hartvich Filip

来源：Remote Sensing, 2017, 9(3): UNSP 240.

DOI：10.3390/rs9030240

• granulometry
• UAV
• photogrammetry
• fluvial geomorphology
• alluvial sediment
• image processing

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.

• 出版日期2017-3