摘要
长时间序列SBAS-InSAR形变监测,能够减弱误差带来的影响,提高监测精度,有效识别地质灾害隐患。研究获取了兰州地区2019年9月至2020年4月的L波段升轨ALOS-2编程数据,利用“空-天-地”一体化地质灾害监测体系,基于小基线集(SBAS-InSAR)技术对兰州市普兰太有限公司滑坡进行了有效识别。经现场核查,滑坡宏观变形迹象明显,并与同期C波段Sentinel-1A升轨数据处理对比分析,表明基于L波段的SBAS-InSAR形变监测在兰州市典型滑坡早期识别中发挥了很好的作用,可以在区域滑坡早期识别中推广应用。
The deformation monitoring of SBAS-InSAR with long time series can reduce the influence of errors,improve the monitoring accuracy,and effectively identify the hidden danger of geological disasters.The programming data of L-band elevated orbit ALOS-2 in the main urban area of Lanzhou from September 2019 to April 2020 were obtained in this study.The landslide of Lanzhou Pulantai Co.,Ltd.was effectively identified based on the small baseline set(SBAS-InSAR)technology by using the integrated geological disaster monitoring system of“integration of Air-Space-Ground”.Through on-site verification,the macroscopic deformation signs of the landslide are obvious,and the comparison and analysis with the sentinel-1A orbit rising data processing of the C-band during the same period show that the Deformation monitoring of SBAS-InSAR based on the L-band plays a very good role in the early identification of typical landslides in Lanzhou City,and can be popularized and applied in the early identification of regional landslides.
作者
侯燕军
周小龙
石鹏卿
郭富赟
HOU Yanjun;ZHOU Xiaolong;SHI Pengqing;GUO Fuyun(Gansu Institute of Geological Environment Monitoring, Lanzhou, Gansu 730050,China)
出处
《中国地质灾害与防治学报》
CSCD
2020年第6期12-20,共9页
The Chinese Journal of Geological Hazard and Control
基金
甘肃省科技重大专项-社会发展类(19ZD2FA002)。
