基于机载LiDAR的茂密植被山区公路滑坡识别与评价方法研究  

Research on Landslide Identification and Evaluation Method of Dense Vegetation Mountain Highway based on Airborne LiDAR

作　　者：朱晓强 曹皓 董秀军[1] ZHU Xiao-qiang;CAO Hao;DONG Xiu-jun(State Key Laboratory of Geological Disaster Prevention and Geoenvironmental Protection of Chengdu University of Technology,Chengdu 610o59,China;Anhui Transportation Holding Group Co.Ltd.,Hefei 23000o,China)

机构地区：[1]成都理工大学地质灾害防治与地质环境保护国家重点实验室,成都市610059 [2]安徽省交通控股集团有限公司,合肥市230000

出　　处：《公路》2025年第4期267-277,共11页Highway

基　　金：安徽省交通控股集团科技项目,项目编号JKKJ-2020-45。

摘　　要：为解决茂密植被山区隐蔽性滑坡灾害对高速公路全寿命周期的不利影响,利用机载LiDAR能穿透植被的特性,获取了G0321祁门至皖赣界段在建高速公路(K2+430~K14+750段)空间分辨率为0.2 m的高精度DEM,制定了适用于茂密植被山区的遥感解译方法,建立起研究区滑坡灾害样本库,并通过人工野外复核工作验证遥感解译的准确性;综合考虑地形地貌、气象水文、野外查证情况,选取了8个致灾评价因子,应用信息量耦合MaxEnt模型(IV-MaxEnt)进行茂密植被山区滑坡灾害易发性评价。评价结果表明:其评价模型的接受者操作特性曲线(ROC)经验有效值达0.901,表示该模型精度有较高准确性,对于高速公路的选线、施工、运营阶段具有重要的工程意义。In order to solve the adverse effects of hidden landslide disasters in densely vegetated mountainous areas on the whole life cycle of expressways,by taking advantage of the characteristics of airborne LiDAR to penetrate vegetation,a high-precision DEM with a spatial resolution of 0.2 m is obtained for the highway under construction in the G0321 Qimen to Anhui-Jiangxi boundary section(K2+430~K14+750),a remote sensing interpretation method suitable for dense vegetation mountainous areas is prepared,a sample database of landslide disasters in the study area is established,and the accuracy of remote sensing interpretation is verified through manual field review.Comprehensively Considering the topography,meteorology and hydrology,and field verification,8 disaster-causing evaluation factors are selected,and the information coupled MaxEnt model(IV-MaxEnt)is used to evaluate the susceptibility of landslides in dense vegetation mountainous areas.The evaluation results show that the empirical RMS value of the receiver operating characteristic curve(ROC)of the evaluation model is O.901,indicating that the accuracy of the model has high accuracy,which is of great engineering significance for the route selection,construction and operation stages of the expressway.

关 键 词：山区高速公路 机载LIDAR 滑坡识别 Ⅳ-MaxEnt耦合模型 易发性评价 

分 类 号：U412.22[交通运输工程—道路与铁道工程] TP75[自动化与计算机技术—检测技术与自动化装置]