滑坡灾害InSAR早期识别关键技术方法研究
RESEARCH ON KEY THEORETICAL METHODS FOR EARLY LAND-SLIDE DETECTION USING INSAR TECHNOLOGY
摘要
Abstract
This study focuses on the application of Synthetic Aperture Radar Interferometry(InSAR)technology in landslide identification and intensively explores the typical technical challenges encountered during landslide detec-tion via InSAR technology.Firstly,the paper examines the significance of InSAR multi-view processing as a crucial pre-processing step,discussing the balance between noise suppression and spatial resolution in the selection of multi-view factors,eventually obtaining the optimal multi-view parameter set.Furthermore,this paper discusses the influence of interferogram filtering windows on deformation extraction accuracy,finding that the optimal filtering window effectively preserves deformation information while suppressing InSAR interferometric noise,thus facilitating accurate detection of landslide risks.In addition,this research proposes atmospheric correction at the interferogram level to avoid the propagation of InSAR phase unwrapping errors and effectively mitigate atmospheric noise,thereby enhancing the accuracy of InSAR deformation extraction.Finally,the study explores the long and short temporal baselines in InSAR interferometry,discovering that solely relying on short temporal baseline interferograms is insuf-ficient for capturing small-magnitude landslide deformations.Long temporal baselines,although unavoidable,face challenges of interferometric decorrelation.Therefore,a strategy combining a base of short temporal baseline inter-ferograms with a certain number of high-quality long temporal baseline interferograms proves to be more reliable for identifying small-magnitude landslide hazards.Lastly,the study exemplifies its findings through a landslide-prone area in the upper reaches of the Jinsha River,conducting experiments based on the optimal and control parameter sets to validate the effectiveness and applicability of the optimal set.The aforementioned research outcomes signifi-cantly deepen the practicality and limitations of InSAR technology in geological hazard identification applications,providing scientific support for the early identification of landslide hazards using InSAR technology,with important theoretical and practical implications.关键词
滑坡灾害/InSAR早期识别/多视因子/滤波窗口/长短时间基线/大气校正Key words
Landslide/Early identification of landslide hazards by InSAR technology/Multi-look factor/Filtering window/Long and short temporal baselines/Atmospheric noise correction分类
天文与地球科学引用本文复制引用
宋家苇,杨莹辉,许强,王寿宇,李鹏飞,袁泉,黎浩良,陈强..滑坡灾害InSAR早期识别关键技术方法研究[J].工程地质学报,2024,32(3):963-977,15.基金项目
四川省哲学社会科学基金特别委托重大项目(资助号:SCJJ23WT06),新疆维吾尔自治区重点研发技术项目(资助号:2023B03011),地质灾害防治与地质环境保护国家重点实验室自主研究课题(资助号:SKLGP2021Z016),中国电建科技项目"高寒山区高位高危地质灾害早期识别及监测关键技术研究"(资助号:DJ-ZDXM-2020-03).This research is supported by Sichuan Philosophy and Social Science Fund Specially Commissioned Major Projects(Grant No.SCJJ23WT06),Key R&D Technology Project of Xinjiang Uygur Autonomous Region(Grant No.2023B03011),Independent Research Project of State Key Laboratory of Geological Disaster Prevention and Geological Environment Protection(Grant No.SKLGP2021Z016)and China Electric Power Construction Technol-ogy Project'Study on Key Techologies of Early Identification and Monitoring of High-risk Geological Disasters in Alpine Mountainous Areas'(Grant No.DJ-ZDXM-2020-03). （资助号:SCJJ23WT06）
