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- Title
基于时序 InSAR 的青海同仁市滑坡隐患 早期识别与特征解析.
- Authors
李宗仁; 沙永莲; 辛荣芳; 张兴; 隋嘉; 孙皓
- Abstract
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 was used to realize the early identification of landslide hazards in the area, and a total of 19 landslide hazards was identified, Among them, 8 landslide hazard points were known and 11 were newly identified hidden danger points. The deformation inversion and hidden danger identification results were analyzed for the accuracy of deformation rate and the difference analysis combined with geometric distortion, the accuracy and effectiveness of the deformation inversion results were evaluated, and the comprehensive and accuracy of the hidden danger identification results were proved. Three typical landslide hazards were 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. The hidden slope in the area is unstable and shows a slow deformation trend, especially during the concentrated rainfall period from June to August, the deformation shows an accelerated trend, and rainfall is the main factor inducing landslide disasters in the area.
- Publication
Science Technology & Engineering, 2023, Vol 23, Issue 35, p15158
- ISSN
1671-1815
- Publication type
Article