现代地质2024，Vol.38Issue(2)：464-476,13.DOI:10.19657/j.geoscience.1000-8527.2023.101
联合无人机光学与机载LiDAR在高位滑坡要素识别中的应用:以川西汶川龙溪沟滑坡为例
Application of Joint UAV Optics and Airborne LiDAR in High Level Landslide Element Identification:A Case Study from the Longxigou Landslide in Wenchuan,Western Sichuan
摘要
Abstract
Investigation of high-level and highly concealed landslides is challenging and difficult to be reached by manpower,with low efficiency and high risks.The use of aerial remote sensing technologies such as drone optics and airborne LiDAR can effectively overcome these problems,and has been extensively applied to today's research.However,currently most of those research and applications focus on macroscopic investigations and interpretations,with only limited research on refined identifications and measurements of the development fac-tors,such as landslide cracks and landslide walls.In order to further refine the interpretation features of the landslide elements based on drone optics and airborne LiDAR recognition,and improve the comprehensive ap-plication of this technology,this study selected the Wenchuan Longxigou high-level landslide in the active area of earthquake in western Sichuan as an example.The methods include drone digital photogrammetry,airborne LiDAR distance measurement,interpretation comparison and spatial measurement,as well as on-site investiga-tion and verification.In total,twenty eight tension cracks,two shear cracks,and eight steep slopes were extrac-ted.Two landslide walls,five leading edge boundaries,and five secondary deformation zones were divided based on the arrangement and combination of the landslide elements into two secondary sliding zones and four deformation zones.The validations are highly consistent with the indoor interpretations,proving the reliability and accuracy of this proposed method.The research results summarized and compared the differences in color tone,texture,and spectrum of landslide elements on different data,explored the collaborative extraction method of'color tone texture map'of landslide elements using unmanned aerial vehicle optics and airborne LiDAR,and elaborated on the fine identification processes of high-level landslides by'interpreting elements first and then zoning and combining'.The results provide technical references for the fine identification and prevention of other high-risk high-level landslides,and have a significant value in the applications.关键词
无人机/机载LiDAR/高位滑坡/要素识别/汶川龙溪沟Key words
UVA/airborne LiDAR/high level landslide/element identification/Longxigou of Wenchuan分类
天文与地球科学引用本文复制引用
王德富,李永鑫,任娟,范亚军,刘立,罗超..联合无人机光学与机载LiDAR在高位滑坡要素识别中的应用:以川西汶川龙溪沟滑坡为例[J].现代地质,2024,38(2):464-476,13.基金项目
四川省自然资源厅地质灾害隐患遥感识别监测及高分遥感应用服务项目(N5100012022001470) （N5100012022001470）
自然资源部科技发展司自然资源技术融合与应用示范项目(121204007000204101) （121204007000204101）
自然资源部四川省滑坡灾害隐患遥感智能防控体系部省合作研究项目(SCDZRS2023). （SCDZRS2023）
