Risk assessment of slope building based on point cloud data:Taking the low mountain and hilly area of Wuhan City as an example
Aiming at the division of the risk area of slope building in the low mountain and hilly area of Wuhan City,the airborne LiDAR is used to generate the point cloud data of the slope mountain,and the housing construction in the area is investigated in a large area,which reduces the degree of human participation and improves the judgment accuracy of slope building in this paper.Using the methods of regional growth method and slope calculation,combined with the investigation of geological disaster hidden danger in Wuhan City,the risk grade evaluation system of slope cutting and building in Wuhan City is established,and the accuracy is verified by point cloud profile calculation and field investigation.The results show that the risk area results extracted by the algorithm proposed in this paper are consistent with the risk level of point cloud profile calculation and field survey,and the errors of slope cutting height,slope distance and natural slope length are between-0.2～1 m,-1.3～2.7 m and-1～2 mm respectively.The slope error is between-1° and 7°;the error of the volume rate is between-0.07 and 0.53.The fitting degree with the field survey is above 0.9.The risk level evaluation system of slope building based on point cloud data can analyze the geomorphological characteristics from different angles,greatly saving manpower and material resources,and providing reference for data acquisition of geological disaster and hidden danger investigation in Wuhan City.
point cloud databuilding by cutting sloperisk assessmentregional growth methodslope calculation
NETL
NSTL
万方数据
