Landslide Feature Extraction And Distribution Correlation Analysis Based On Airborne LIDAR

Landslide,as one of the most common and frequent geological disasters in the world,has caused immeasurable loss of life and property to the whole society due to the uncertainty of the time and place of its occurrence.Therefore,the investigation and identification of landslide disaster has been regarded as one of the main geological disaster research topics in the industry.At present,the investigation and research on landslide disaster mainly focus on the prediction of landslide,but because of the many factors affecting the occurrence of landslide,it is difficult to make accurate prediction of landslide disaster in the existing technology.The paper uses airborne light detection and visualized radar to realize fast and accurate landslide feature extraction and landslide region recognition,and analyzes the landslide distribution in the current region,so as to provide powerful data support for disaster rescue and disaster prevention and mitigation.In this experiment,Liziya landslide area in Zhuyuan Town,Fengjie County,Chongqing Municipality was selected as the experimental area.The geological environment in the experimental area is complex and the vegetation coverage is high.Due to the limitation of geographical environment,it is difficult for traditional optical remote sensing to carry out disaster identification and investigation in the area with high vegetation and shadow coverage.As an emerging remote sensing technology,airborne LIDAR can be used for geological survey in complex terrain due to its high penetration.To a certain extent,airborne LIDAR technology is not affected by cloud,shadow or vegetation and other external conditions to achieve rapid and accurate acquisition of ground data.Therefore,airborne LIDAR technology is chosen to collect data in the experimental area.In the above conditions,the paper obtained by airborne LiDAR point cloud data as data sources,research area by combining analysis of landslide area topographic feature,feature extraction and landslide disaster investigation recognition analysis,fast accurately define the landslide area,and through the analysis of fractal theory of landslide distribution and the correlation between terrain factors.The main technical process of the experiment is as follows:1.The airborne LIDAR technology is used to collect point cloud data in the study area.After the collected point cloud data is preprocessed,the high-precision ground point cloud data is obtained,and the extracted ground point data is used to generate highprecision DEM products required.2.By analyzing the characteristics of Liziya landslide disaster area,the regional characteristics of Liziya landslide are extracted,and the other landslide areas in the mountain area are identified and analyzed by using the characteristics.3.The correlation between landslide distribution and different topographic factors is analyzed by using fractal theory.The experimental results show that the acquisition of point cloud data based on airborne LIDAR data can effectively retain the real ground information,effectively identify and extract the landslide boundary in mountainous areas by analyzing the terrain features of the landslide area,and analyze the influence of different terrain factors on the landslide distribution in this area.It can help the airborne LIDAR technology to quickly carry out landslide investigation after the occurrence of landslide disaster,effectively help the post-disaster prevention and mitigation,and improve the level of disaster emergency response.