Multi-temporal repeat monitoring of flood-vulnerable rivers is crucial due to rapid alteration of morphological properties of in-channel landforms. Besides, the characteristics of the river crossing bridges may deteriorate due to flood induced scouring around bridge piles or due to flood loads. Thus, in this study high-resolution topography of the study region was acquired during two consecutive years by unmanned aerial vehicle (UAV) based surveys using Structure-from-Motion (SfM) processing. Following the extraction of digital elevation models (DEM), repeat data that were obtained at each UAV survey were compared using Geomorphic Change Detection (GCD) to calculate volumes of deposition and erosion via DEM of difference (DoD) algorithm. Thus, detailed high-resolution maps of the river channels can be rapidly and efficiently generated by low cost UAV based measurement methods in order for continuous tracking of stream channel morphology for the rivers sensitive to floods.

由于河道内地貌形态特征的快速变化，对易受洪水侵害的河流进行多时间重复监测至关重要。此外，过江桥梁的特性可能由于洪水在桥桩周围引起的冲刷或洪水荷载而恶化。因此，在这项研究中，研究区域的高分辨率地形是连续两年通过使用动静结构（SfM）处理的基于无人机（UAV）的调查获得的。提取数字高程模型（DEM）之后，使用地貌变化检测（GCD）比较在每次UAV测量中获得的重复数据，以通过差异DEM（DoD）算法计算沉积和侵蚀量。从而，