摘要
针对植被密集的复杂山区单一数据滑坡早期识别准确性与可靠性不足的问题,本文结合激光雷达数据的微地貌特征和InSAR技术的形变特征,提出了一种滑坡早期识别分析方法。首先,利用SBAS-InSAR技术提取该地区的时序形变信息,确认形变速率异常分布范围;然后,结合机载雷达的高精度地形地貌的优势,确认主要区域内的7个潜在滑坡,并划分滑坡地图和潜在滑坡的边界识别;最后,结合光学影像遥感和几何畸变原理,对识别结果进行验证。结果表明,结合InSAR和机载LiDAR技术能提高滑坡识别精度和探测能力,滑坡的发育特征和识别结果可为文山地区地质灾害预防和滑坡的编目提供理论支持和依据。
The insufficiency in the accuracy and dependability of early landslide identification in densely vegetated complex mountainous areas is tackled in this paper.A method for early landslide identification analysis is suggested,which combines the micro-topographic features from LiDAR data and the deformation characteristics from InSAR technology.Initially,the SBAS-InSAR technique is used to extract the temporal deformation information of the region,confirming the abnormal distribution range of deformation rates.Subsequently,leveraging the advantages of airborne radar in high-precision terrain and landform data,seven potential landslides within the main area are identified,and landslide maps along with the boundaries of potential landslides are delineated.Finally,the identification results are validated through optical image remote sensing and geometric distortion principles.The results demonstrate that the combination of InSAR and airborne LiDAR technologies can enhance the accuracy and detection capabilities of landslide identification.The developmental characteristics of landslides and the identification results provide theoretical support and a basis for the prevention of geological disasters and the cataloging of landslides in the Wenshan region.
作者
郑威
左小清
李勇发
李正会
王志红
李德彬
ZHENG Wei;ZUO Xiaoqing;LI Yongfa;LI Zhenghui;WANG Zhihong;LI Debin(Kunming University of Science and Technology,Kunming 650093,China;Yunnan Remote Sensing Center,Kunming 650034,China;Guizhou University of Engineering Science,Bijie 551700,China)
出处
《测绘通报》
CSCD
北大核心
2024年第5期1-6,共6页
Bulletin of Surveying and Mapping
基金
国家自然科学基金(42161067)
云南省重大科技专项计划(202202AD080010)
毕科联合([2023]51号)。
