Early Identification of the Jiangdingya Landslide of Zhouqu Based on SBAS-InSAR Technology

• 作 者: YU Haihua CAI Guolin GAN Quan
• 机 构: FacultyofGeosciencesandEnvironmentalEngineering,SichuanBureauofSurveying
• 出 处: 中国地震研究:英文版
• 发表日期: 2020年4期
• 关键词: SBAS-InSAR Jiangdingya landslide Early identification Deformation rate Sentinel-
• 基金项目: Received on May 7th,2020,revised on September 27th,2020.This project is sponsored by the Research on Early Identification of Landslide Hazards based on High-resolution SAR Image(KJ-2018-13).

SBAS-InSAR technology is characterized by the advantages of reducing the influence of terrain-simulation error,time-space decorrelation,atmospheric error,thereby improving the reliability of surface-deformation monitoring.This paper studies the early land