王乐洋, 邹阿健. 结合SAR和光学数据检索凯库拉Mw 7.8地震三维形变[J]. 武汉大学学报 ( 信息科学版), 2024, 49(2): 303-312. DOI: 10.13203/j.whugis20210352
引用本文: 王乐洋, 邹阿健. 结合SAR和光学数据检索凯库拉Mw 7.8地震三维形变[J]. 武汉大学学报 ( 信息科学版), 2024, 49(2): 303-312. DOI: 10.13203/j.whugis20210352
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WANG Leyang, ZOU Ajian. Retrieving 3D Coseismic Deformation of 2016 Mw 7.8 Kaikoura Earthquake Using SAR and Optical Data[J]. Geomatics and Information Science of Wuhan University, 2024, 49(2): 303-312. DOI: 10.13203/j.whugis20210352
Citation: WANG Leyang, ZOU Ajian. Retrieving 3D Coseismic Deformation of 2016 Mw 7.8 Kaikoura Earthquake Using SAR and Optical Data[J]. Geomatics and Information Science of Wuhan University, 2024, 49(2): 303-312. DOI: 10.13203/j.whugis20210352
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结合SAR和光学数据检索凯库拉Mw 7.8地震三维形变

Retrieving 3D Coseismic Deformation of 2016 Mw 7.8 Kaikoura Earthquake Using SAR and Optical Data

    摘要
  • 摘要: 地震的同震形变监测对于地震形变特征解释以及直观了解断层的几何特征具有重要意义。对于有地表破裂的大地震,GNSS(global navigation satellite system)技术空间分辨率较低,InSAR(interferometric synthetic aperture radar)技术由于大的形变梯度会发生相位失相干,均无法获得详细的断层周围形变。基于亚像素互相关技术的光学影像相关和像素偏移追踪能够很好地解决这些问题。以2016年凯库拉Mw 7.8级地震为例,使用哨兵2号数据获取东西向和南北向形变,使用哨兵1号数据获取距离向和方位向形变。为确定获取三维形变场的哨兵2号光学数据与哨兵1号SAR数据的最佳组合,将这些形变种类进行组合,并使用最小二乘方法计算三维形变。结果表明,OIC+POT_As_Des的组合最适合获取凯库拉地震三维形变,各种观测数据类型的结合能够较好地控制三维形变的效果和精度。对凯库拉地震的三维形变进行分析,结果表明,该地震在两个不同区域发生了巨大且复杂的地表位移,是一次右旋走滑为主带有逆冲的地震,垂直形变主要表现为抬升。研究成果可以为地表三维形变的研究提供参考。

     

    Abstract:
    Objectives Co-seismic deformation monitoring is of great significance for the interpretation of co-seismic deformation characteristics and intuitive understanding of fault geometric characteristics. For large earthquakes with surface rupture, global navigation satellite system(GNSS) technique has a low spatial resolution, and interferometric synthetic aperture radar(InSAR) technology will cause phase decorrelation due to large deformation gradients, it is impossible to obtain specific deformation around the fault. Optical image correlation(OIC) and pixel offset tracking(POT) based on sub-pixel cross-correlation can solve these problems well.
    Methods The main idea of the sub-pixel cross-correlation method is to use the pre-‍event image in the two images as a reference, and then compare the post-event image with it to evalu‍ate the similarity between the two images, and then retrieve the displacement between the homonymous points. OIC can obtain east-west and north-south deformations, and POT can obtain range and azimuth deformations. In this paper, the deformation in each direction of the Kaikoura earthquake obtained from Sentinel-1 data and Sentinel-2 data is used to form different combinations, and the least square method is used to calculate the three-dimensional deformation.
    Results The combination of OIC+POT_As_Des has the best constraint. The accuracy of the north-south deformation obtained by OIC+POT_Range is not as good as that of OIC+POT_As_Des. Compared with POT_As_Des, the north-south deformation precision obtained by it is higher, and the deformation performance on the right side of the Kekerengu fault and the left side of the Papatea fault is also better. In the northeast of the Kaikoura earthquake epicenter, very complex and huge surface deformation and multiple ruptures were detected in two close areas, and the vertical deformation was mainly uplift.
    Conclusions For Sentinel-1 and Sentinel-2, the combination of OIC+POT_As_Des is most suitable for obtaining the three-dimensional deformation of the Kaikoura earthquake. This earthquake is a dextral strike-slip earthquake with reverse.

     

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