Integration of InSAR and airborne LiDAR technologies for early landslide identification and analysis

doi:10.13474/j.cnki.11-2246.2024.0501

Abstract

Abstract: 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.

Key words: LiDAR, SBAS-InSAR, landslide, early identification

CLC Number:

P237

ZHENG Wei, ZUO Xiaoqing, LI Yongfa, LI Zhenghui, WANG Zhihong, LI Debin. Integration of InSAR and airborne LiDAR technologies for early landslide identification and analysis[J]. Bulletin of Surveying and Mapping, 2024, 0(5): 1-6.

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