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Small-Scale Surface Reconstruction and Volume Calculation of Soil Erosion in Complex Moroccan Gully Morphology Using Structure from Motion

机译:基于运动结构的复杂摩洛哥沟渠形态小规模表面重建和土壤侵蚀量计算

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摘要

This study presents a computer vision application of the structure from motion (SfM) technique in three dimensional high resolution gully monitoring in southern Morocco. Due to impractical use of terrestrial Light Detection and Ranging (LiDAR) in difficult to access gully systems, the inexpensive SfM is a promising tool for analyzing and monitoring soil loss, gully head retreat and plunge pool development following heavy rain events. Objects with known dimensions were placed around the gully scenes for scaling purposes as a workaround for ground control point (GCP) placement. Additionally, the free scaling with objects was compared to terrestrial laser scanner (TLS) data in a field laboratory in Germany. Results of the latter showed discrepancies of 5.6% in volume difference for erosion and 1.7% for accumulation between SfM and TLS. In the Moroccan research area soil loss varied between 0.58 t in an 18.65 m2 narrowly stretched gully incision and 5.25 t for 17.45 m2 in a widely expanded headcut area following two heavy rain events. Different techniques of data preparation were applied and the advantages of SfM for soil erosion monitoring under complex surface conditions were demonstrated.
机译:这项研究提出了一种运动视觉结构(SfM)技术在摩洛哥南部三维高分辨率沟壑监测中的计算机视觉应用。由于在难以接近的沟渠系统中不切实际地使用地面光检测和测距(LiDAR),廉价的SfM是用于分析和监控大雨事件后土壤流失,沟壑后退和跳水池形成的有前途的工具。将具有已知尺寸的对象放置在沟渠场景周围,以进行缩放,作为地面控制点(GCP)放置的解决方法。此外,在德国的一个实地实验室中,将物体的自由缩放与地面激光扫描仪(TLS)数据进行了比较。后者的结果显示,SfM和TLS之间的侵蚀量差异为5.6%,累积量差异为1.7%。在摩洛哥研究区,两次大雨过后,土壤损失在18.65 m2的窄口沟切口中为0.58 t,而在广泛扩展的割地中的17.45 m2为5.25 t之间。应用了不同的数据准备技术,并证明了SfM在复杂地面条件下监测土壤侵蚀的优势。

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