The method of landslide surface displacement monitoring based on UAV aerial survey point cloud comparison

doi:10.13474/j.cnki.11-2246.2023.0127

Abstract

Abstract: The M3C2 (multiscale model-to-model cloud comparison) algorithm can be used to achieve surface monitoring of landslides while the single-point displacement monitoring of landslides cannot reflect the overall displacement status of the landslide. By analyzing the images collected by UAV through SfM (structure from motion), a 3D point cloud model of the landslide is reconstructed.The point cloud comparison algorithm is then used to process the two sets of point cloud data, and the displacement of the landslide area is represented by color and size to identify the surface displacement changes of the landslide. The application of this method in the surface displacement monitoring of actual slopes shows that the M3C2 algorithm can successfully identify the slope change area, capture horizontal/vertical displacement changes of 1 cm, and intuitively reflect the deformation of the landslide surface. This method is suitable for overall monitoring of landslide displacement under complex terrain conditions with an identification accuracy of centimeter-level, and its performance is better than the C2C (direct cloud-to-cloud comparison with closest point technique) algorithm.

Key words: landslide, surface displacement monitoring, UAV, M3C2, photogrammetry

CLC Number:

MENG Yongdong, YUAN Changwei, TIAN Bin, CAI Zhenglong, ZHANG Weijie. The method of landslide surface displacement monitoring based on UAV aerial survey point cloud comparison[J]. Bulletin of Surveying and Mapping, 2023, 0(5): 1-8.

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