Research On Emergency Monitoring Of Landslide Body Based On Ground LiDAR

In view of natural disasters such as earthquake,mountain collapse,debris flow and other disasters can not get close contact with the disaster site,how to quickly obtain the landslide surface information in the disaster site,timely assessment to ensure rescue is particularly important.Based on the high precision,continuity and non-contact features of ground Li DAR technology,this paper can quickly acquire a wide range of disaster site terrain and monitor the landslide displacement.The digital ground model is constructed by using the point cloud data of landslide scanning.The deformation analysis of landslide based on the digital ground model can reflect the deformation information of landslide feature comprehensively.In Guizhou Shuicheng July 23 super-large landslide disaster monitoring,for example,optimize the ICP splicing method,the feature point on the ground Li DAR point cloud data to establish the high accuracy digital terrain model,the overall deformation analysis of landslide surface deformation area,accurately reflect the landslide surface integral deformation trend,using the prominent local feature point position compared with the same rock for local deformation results etc."Emergency monitoring of landslide based on ground Li DAR" was carried out.The main research contents include:(1)on the basis of related literature and existing achievements,promotive using ICP algorithm based on optimization of feature points is enhancing the joining together of cloud data accuracy,and make use of the ground Li DAR to analyze the displacement of the change of the scanned object,and the space transformation parameters,the determination of parameters on the deformation index of spatial transformation,post-disaster landslide model precise displacement analysis of the landslide.(2)The surface model of landslide is established based on monitoring and analysis of landslide deformation based on multi-phase point cloud data.Geomagic will be used to analyze surface deformation of landslide area.The multi-phase point cloud data were compared by 3D chromatography,2D profile and feature points,and the overall deformation of the landslide was analyzed intuitively.(3)The multi-phase point cloud data were denoised,splicing,coordinate conversion and registration,etc.Through the planar deformation analysis of the point cloud data,the longitudinal deformation results of the landslide surface were mainly distributed in the range of-0.05 m ? 0.05 m.Combined with the site situation,the change is mainly caused by the heavy rainfall after the landslide,which causes the loose soil and rock debris on the landslide surface to slide down and deposit with the rain.The landslide body is generally stable,and there is no large overall displacement change.