地质科技通报2025，Vol.44Issue(2)：94-103,10.DOI:10.19509/j.cnki.dzkq.tb20230560
基于升降轨InSAR数据的高山峡谷区滑坡易发性评价
Landslide susceptibility assessment in the alpine and canyon areas on the basis of ascending and descending InSAR data
摘要
Abstract
[Objective]In recent years,Interferometric Synthetic Aperture Radar(InSAR)data,which reflect surface deformation,have increasingly been integrated into landslide susceptibility assessments.However,previous studies have not adequately addressed the variability in SAR images,particularly in alpine and canyon regions where the imaging characteristics of InSAR ascending and descending passes differ significantly,leading to substantial errors in surface deformation measurements.[Methods]This study selected the reservoir area of Xiangbiling Hydropower Station as the research site.After conducting a correlation analysis of influencing factors,11 influencing factors and InSAR deformation data pertinent to landslides in alpine and canyon areas were chosen for landslide susceptibility evaluation.[Results]Comparisons between using different deformation datasets revealed that incorporating sparse ascending-pass data from sampling points decreases the accuracy of landslide susceptibility assessment.Conversely,utilizing descending-pass SAR data,which includes a higher density of sampling points,improved the accuracy by 2.7%(AUC=0.924 8).[Conclusion]The inclusion of InSAR deformation data as a influencing factor in landslide susceptibility assessment significantly influences the evaluation outcomes.Therefore,it is crucial to select appropriate InSAR deformation data to enhance the accuracy of susceptibility assessments.关键词
滑坡易发性评价/InSAR/升降轨数据/高山峡谷区/象鼻岭水电站Key words
landslide susceptibility assessment/InSAR/ascending and descending data/alpine and canyon areas/Xiangbiling Hydropower Station分类
天文与地球科学引用本文复制引用
张伟,徐智慧,李德营,陈宏,纪成亮,杨庆义,席文勇,孙旭,张勇,于天文,倪冰冰..基于升降轨InSAR数据的高山峡谷区滑坡易发性评价[J].地质科技通报,2025,44(2):94-103,10.基金项目
国家自然科学基金项目(41772310) （41772310）
