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作 者:武德宏 郝利娜[1] 严丽华 唐烽顺 郑光[2] WU Dehong;HAO Lina;YAN Lihua;TANG Fengshun;ZHENG Guang(School of Earth Sciences,Chengdu University of Technology,Chengdu 610059,China;State Key Laboratory of Geohazard Prevention and Geoenvironment Protection,Chengdu 610059,China)
机构地区:[1]成都理工大学地球科学学院,成都610059 [2]地质灾害防治与地质环境保护国家重点实验室,成都610059
出 处:《自然资源遥感》2024年第3期259-266,共8页Remote Sensing for Natural Resources
基 金:国家重点研发计划项目“重大崩滑灾害危险源识别指标体系研究”(编号:2021YFC3000401)资助。
摘 要:金沙江流域是中国典型地质灾害高发区,为精准辨识金沙江流域潜在滑坡隐患,利用差分干涉测量短基线集时序分析技术(small baseline subset interferometric synthetic aperture Radar,SBAS-InSAR)对Sentinel-1A卫星升降轨数据进行处理,从2个不同探测方向对金沙江白格滑坡及其下游约100 km区域进行滑坡早期识别和形变监测。研究结果显示:①升降轨卫星联合探测能有效减少几何畸变干扰,识别出长期蠕变隐患点;②Sentinel-1A升轨视线(line-of-sight,LOS)向形变速率为-142~80 mm/a,降轨LOS向形变速率为-71~56 mm/a,结合光学遥感影像目视解译,探测出2个大型滑坡群,共计9个滑坡;③对色拉滑坡、沙东(雄巴)滑坡和尼马寺堆积体滑坡等3处典型滑坡进行地表形变特征分析,发现滑坡最大形变量与降雨量、河水径流量峰值相关,降雨和河水侵蚀冲刷是影响滑坡形变的重要因素。研究结果可为汛期流域性地质灾害预报预警及防治提供参考依据。The Jinsha River basin is a typical area with a high incidence of geologic hazards in China.To accurately identify the potential landslide hazards in the basin,this study processed the data of Sentinel-1A’s ascending and descending orbits using the SBAS-InSAR technique.From two detection directions,it conducted early landslide identification and deformation monitoring of the Baige landslide on the bank of the Jinsha River and its lower reaches covering approximately 100 km.The results show that:①The combined detection based on Sentinel-1A’s ascending and descending orbits effectively reduced the interference of geometric distortions,enabling the identification of long-term creep hazard sites;②The deformation rates along the line-of-sight(LOS)of ascending and descending orbits ranged from-142 to 80 mm/a and-71 to 56 mm/a,respectively.Combined with the visual interpretation of optical remote sensing images,two large landslide clusters consisting of nine landslides were detected;③The analysis of surface deformation characteristics was conducted on three typical landslides:the Sela landslide,the Shadong(Xiongba)landslide,and the Nimasi talus slide.The analysis results reveal that the maximum deformation was associated with the peak rainfall and river runoff,which constituted the significant factors influencing landslide deformation.The results of this study serve as a reference for the prediction,early warning,prevention,and control of basin-scale geologic hazards in flood seasons.
关 键 词:金沙江 滑坡隐患 形变监测 SBAS-InSAR
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