TLS用于探测滑坡体地表变化的试验研究

Experimental Study on TLS for Detecting Surface Changes of Landslides

针对传统测量技术在滑坡监测时的不足,以云南省小江流域大白泥河泥石流沟的一伴生滑坡体为试验对象,利用TLS技术对滑坡体进行两个时期的点云数据采集,经过点云配准、点云滤波等点云数据预处理得到处理后点云,在此基础上提取滑坡体地表特征并进行变化检测分析,提出一整套比较直观、全面的滑坡体地表特征变化检测方法。该方法基于坡度坡向比较、DEM差值比较、剖面线比较检测滑坡体地表特征形变量和形变趋势,对泥石流物源量进行估算,有助于预估泥石流灾害爆发时的危害程度和范围,从而减少泥石流灾害带来的损失。

In view of the shortcomings of traditional measurement technology in landslide monitoring,this paper takes an associated landslide body of Dabaini river debris flow gully in Xiaojiang Basin of Yunnan Province as an experimental object,and uses TLS technology to collect point cloud data for two periods.After point cloud registration and point cloud filtering,the point cloud data are pretreated and processed.Based on the point cloud data,the landslide surface features are extracted and analyzed,and a set of intuitive and comprehensive landslide surface features change detection methods are given.Based on the comparison of slope gradient and direction,DEM difference and section line,the deformation and trend of surface features of landslides are compared and detected.By estimating the amount of debris flow material source,the degree and scope of hazards in the outbreak of debris flow hazards can be estimated.Effective prediction is carried out to reduce the losses caused by debris flow disasters.