Abstract
This article proposes a new point cloud data analysis method to expand the applicability of 3D laser scanning technology for landslide deformation monitoring. First, the laser intensity value of the point cloud needs to be corrected. The corrected, discrete point cloud data is converted into a two-dimensional false color image based on its laser intensity. Then, a digital image correlation algorithm is introduced to analyse the point cloud intensity raster images. The displacement field of the landslide on a specific projection plane is calculated. Finally, the calculated landslide displacement field is matched with the digital elevation model of the landslide. The spatial displacement field of the landslide surface was calculated by comparing the elevations before and after the deformation. Laboratory experiments show that this method can monitor the deformation and failure of the landslide model as well as calculate the spatial displacement of the landslide surface.
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