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首页> 外文期刊>International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences >MORPHOLOGICAL ANALYSIS OF LANDSLIDES IN EXTREME TOPOGRAPHY BY UAS-SfM: DATA ACQUISITION, 3D MODELS AND CHANGE DETECTION
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MORPHOLOGICAL ANALYSIS OF LANDSLIDES IN EXTREME TOPOGRAPHY BY UAS-SfM: DATA ACQUISITION, 3D MODELS AND CHANGE DETECTION

机译:UAS-SFM在极端地形中山体内山体内的形态学分析:数据采集,3D模型和变化检测

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摘要

Landslides are one major kind of natural disasters and geomorphological processes on Earth’s surface. Accurate geodetic observations are crucial for understanding morphological changes, providing a quantitative basis of further research in surface process and hazard management. In recent years, the development of UAVs and SfM technology enhance research to build high quality digital surface models of landforms with low budget and efficiency. In areas of extreme topography where landslides occur on steep slopes, however, it is required to specifically design the UAV-SfM workflow to keep the data quality. This study aims to use UAS-SfM workflow to develop a low-cost, efficient methodology to detect detailed morphological change of landslide morphology in extreme topography. The study focuses on examining results of different flight design and GCPs distribution geometry, which are important components in the workflow. In addition, we applied a mathematical model to compare point clouds to calculate volumetric change of the landslide with reduced distortion.
机译:Landslides是地球表面的一种主要自然灾害和地貌过程。准确的大地测量观测对于了解形态学变化至关重要,为表面过程和危险管理提供了进一步研究的定量基础。近年来,无人机和SFM技术的发展提升了研究,以建立低预算和效率的高质量数字表面型号。然而,在极端地形领域,陡峭斜坡上发生山体滑坡,需要专门设计UAV-SFM工作流程以保持数据质量。本研究旨在使用UAS-SFM工作流程来开发低成本,有效的方法,以检测极端地形中Landslide形态的详细形态变化。该研究侧重于检查不同飞行设计的结果和GCP分布几何形状,这是工作流程中的重要组成部分。另外,我们应用了一个数学模型来比较点云计算滑坡的体积变化,减小失真。

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