Surface deformation monitoring and analysis of Southwest University of Science and Technology based on time series InSAR
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摘要:
以西南科技大学青义校区为研究区，利用SBAS-InSAR和PS-InSAR对52景升轨Sentinel-1A雷达影像，分别获取了研究区2017年6月至2020年11月的地表形变速率及时序形变量。结合相干性系数、形变速率、方差及标准差对两种时序InSAR结果进行检验对比，从自然、人为因素两方面探讨了研究区地表形变机理与演化过程。结果表明：研究区存在多处显著沉降，最大垂直沉降速率可达15 mm/a，地表形变与学生公寓楼、道路扩建等人为因素有关，地表沉降区与强降雨、岩性及地势地貌关联紧密，地层界线与地表形变不显著相关。相较而言，两种监测结果总体一致性较好，SBAS-InSAR相比PS-InSAR的监测结果稳健性更好。
Abstract:Taking Qingyi campus of Southwest University of Science and Technology as the study area, the surface deformation rate and time sequence variables of the study area from June 2017 to November 2020 were obtained by using SBAS-InSAR and PS-InSAR on 52 scene ascending Sentinel-1A radar images. Combined with coherence coefficient, deformation rate, variance and standard deviation, the results of two Time Series InSAR are tested and compared, and the mechanism and evolution process of surface deformation in the study area are discussed from two aspects of natural and human factors. The results show that there are many significant settlements in the study area, and the maximum vertical settlement rate can reaches 15 mm/a. The surface deformation is related to the factors such as student apartment buildings and road expansion. The surface settlement area is closely related to heavy rainfall, lithology and topography, and the stratigraphic boundary is not significantly related to the surface deformation. In general, the two monitoring results are generally consistent, and the monitoring results of SBAS-InSAR are more robust than PS-InSAR.
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Key words:
- time series InSAR /
- campus expansion /
- surface deformation /
- rainfall /
- lithology
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表 1 实验数据参数
Table 1. Parameters of the experimental data
数据名称 参数 值 Sentinel-1A 极化方式 VV 轨道方向 升轨 分辨率/m2 5 
20入射角/（°） 39 重访周期/d 12 雷达波长/cm 5.63 幅宽/km 250 时间间隔 2017-06-07—2020-11-06 SRTM 空间分辨率/m 30 中国气象数据网 气象站 56196 
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表 2 形变矢量结果统计
Table 2. Statistics of deformation vector results
时序InSAR 矢量
点数/个平均速率
/（mm·a−1）相干性
系数均值方差 标准差 SBAS-InSAR 18011 0.721 0.608 1.358 1.165 PS-InSAR 12144 0.441 0.583 1.395 1.181
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