基于LiDAR数据的汕尾火山嶂地质灾害风险评价OACSTPCD

Airborne LiDAR(light detection and ranging)data are effective for geological hazard risk assessment in vegetation-covered areas because vegetation information can be removed and thus pro-vide true surface morphology.Huoshanzhang in Shanwei,Guangdong Province is a steep and densely vegetated area that is prone to landslides,collapses,and mudslides.This study adopted high-resolution LiDAR data to generate high-precision DEM data and extract terrain factors such as slope,aspect,cur-vature,undulation,roughness,and mountain shadows,combined with remote sensing images of GF-1 satellite,identified a total of 44 landslides/collapses.Among them,three low-probability landslides/collapses were removed based on the variable dimensional and fractal model,the determined weight of each terrain factor,and the confirmed probability of each interpreted landslide/collapse.The area was divided into 6 sub-regions according to the characteristics of the valleys and the geological hazard risk assessment of each sub-region was conducted based on the terrain characteristics,landslide/collapse density and volume,and human activities.The results indicate that high-precision terrain factors gener-ated from LiDAR data of vegetation impacts eliminated are an effective source for geological hazard in-terpretation in vegetation-covered areas.