基于时序InSAR的青海同仁市滑坡隐患早期识别与特征解析

本文选取青海省同仁市作为研究区，以Sentinel-1A卫星升降轨SAR数据为主要信息源，利用SBAS-InSAR技术反演提取区域地表形变信息，结合区内地形地貌、地质构造、气象水文、植被覆盖、历史地灾等背景资料，辅以GF-2光学影像筛选确认，实现了区内滑坡隐患的早期识别，共识别出滑坡隐患19处，其中8处为已知滑坡灾害点，11处为新识别隐患点。对形变反演与隐患识别结果进行了形变速率精度分析与结合几何畸变的差异性分析，评价了形变反演结果的精度与有效性，证明了隐患识别结果的全面与准确性。选取了3处典型滑坡隐患从形变时空分布特征、光学影像特征、实地变形特征等方面进行特征解析，掌握了区内滑坡隐患的孕灾条件及变形趋势。

Early Identification and Characteristic Analysis of Landslide Hidden Danger in Tongren City of Qinghai Province Based on Time Series InSAR

Tongren City of Qinghai Province was selected as the study area, with Sentinel-1A satellite ascending and descending SAR data as the main information source, and SBAS InSAR technology was used to retrieve and extract regional surface deformation information. In combination with the background data of topography, geological structure, meteorology and hydrology, vegetation coverage, historical disasters, etc. in the area, GF-2 optical image screening and confirmation are used to realize the early identification of landslide hazards in the area, and a total of 19 landslide hazards are identified, Among them, 8 are known landslide hazard points and 11 are newly identified hidden danger points. The deformation inversion and hidden danger identification results are analyzed for the accuracy of deformation rate and the difference analysis combined with geometric distortion, the accuracy and effectiveness of the deformation inversion results are evaluated, and the comprehensive and accuracy of the hidden danger identification results are proved. Three typical landslide hazards are selected to analyze the characteristics from the aspects of temporal and spatial distribution characteristics of deformation, optical image characteristics, field deformation characteristics, etc., and comprehensively grasp the hazard preparation conditions and deformation trend of landslide hazards in the area.