自然资源遥感2024，Vol.36Issue(3)：196-205,10.DOI:10.6046/zrzyyg.2023101
基于机载LiDAR技术植被茂密区小型滑坡识别与评价
Identification and assessment of small landslides in densely vegetated areas based on airborne LiDAR technique
摘要
Abstract
Landslides may cause the loss of lives and property,and an accurate and complete map showing the spatial distribution of landslides and the determination of landslide susceptibility areas assist in guiding the optimization of the production,living,and ecological spaces.However,landslide investigations are complicated by dense vegetation.LiDAR technology enables the presentation of actual terrain features,thereby achieving landslide identification in densely vegetated areas.This study obtained the LiDAR point cloud data of the study area through ground-imitating flight and then built a digital elevation model(DEM)through data processing.Then,based on mountain shadow analysis,color-enhanced presentation,and 3D scene simulation,the locations and scales of existing landslides in the study area were identified.The field verification revealed an interpretation accuracy of landslides of up to 86.4％.For the assessment of landslide susceptibility areas,this study,with existing landslides as samples,delineated landslide susceptibility areas through remote sensing classification for the first time.Specifically,images were synthesized using the landslide-related elevations,slopes,and surface undulations,and then landslide susceptibility areas were determined using the support vector machine(SVM)classification method.The analysis of the inspection samples reveals a landslide identification accuracy of 81.91％.The results show that the image identification based on high-accuracy LiDAR data and visually enhanced images allows for the delineation of small landslides and that the SVM classification method enables the accurate location of landslide susceptibility areas.This study provides a basis for the future planning and optimization of the production,living,and ecological spaces.关键词
LiDAR/滑坡/山体阴影/支持向量机/滑坡易发性评价Key words
LiDAR/landslide/mountain shadow/SVM/landslide susceptibility area分类
信息技术与安全科学引用本文复制引用
陈刚,郝社锋,蒋波,喻永祥,车增光,刘汉湖,杨容浩..基于机载LiDAR技术植被茂密区小型滑坡识别与评价[J].自然资源遥感,2024,36(3):196-205,10.基金项目
江苏省地质灾害风险普查省级技术支持项目(编号:苏自然资函[2021]1420号)资助. （编号:苏自然资函[2021]1420号）
