Inferring three-dimensional surface displacement field by combining SAR interferometric phase and amplitude information of ascending and descending orbits
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Conventional Interferometric Synthetic Aperture Radar (InSAR) technology can only measure one-dimensional surface displacement (along the radar line-of-sight (LOS) direction). Here we presents a method to infer three-dimensional surface displacement field by combining SAR interferometric phase and amplitude information of ascending and descending orbits. The method is realized in three steps: (1) measuring surface displacements along the LOS directions of both ascending and descending orbits based on interferometric phases; (2) measuring surface displacements along the azimuth directions of both the ascending and descending orbits based on the SAR amplitude data; and (3) estimating the three-dimensional (3D) surface displacement field by combining the above four independent one-dimensional displacements using the method of least squares and Helmert variance component estimation. We apply the method to infer the 3D surface displacement field caused by the 2003 Bam, Iran, earthquake. The results reveal that in the northern part of Bam the ground surface experienced both subsidence and southwestward horizontal movement, while in the southern part uplift and southeastward horizontal movement occurred. The displacement field thus determined matches the location of the fault very well with the maximal displacements reaching 22, 40, and 30 cm, respectively in the up, northing and easting directions. Finally, we compare the 3D displacement field with that simulated from the Okada model. The results demonstrate that the method presented here can be used to generate reliable and highly accurate 3D surface displacement fields.
KeywordsInSAR amplitude matching azimuth offset three-dimensional surface displacement Bam earthquake
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- 2.Ding X L, Liu G X, Li Z W, et al. Ground subsidence monitoring in Hong Kong with satellite SAR interferometry. Photogramm Eng Remote Sens, 2004, 70: 1151–1156Google Scholar
- 4.Gudmundsson S, Sigmundsson F. Three-dimensional surface motion maps estimated from combined interferometric synthetic aperture radar and GPS data. J Geophys Res, 2002, 107(B10): 1–14Google Scholar
- 6.Sun J B, Liang F, Xu X W, et al. 3D co-seismic deformation field of the Bam earthquake (MW 6.5) from ascending and descending pass ASAR radar interfeometry (in Chinese). J Remote Sens, 2006, 10: 489–496Google Scholar
- 8.Perski Z, Hanssen R. The interperetation of Bam fault kinematics using ENVISAT SAR interferometric data. Fringe 2005 Workshop, Frascati, Italy, 2005. 1–6Google Scholar
- 11.Okada Y. Surface deformation due to shear and tensile faults in a half-space. Bull Seismol Soc Amer, 1985, 75: 1135–1154Google Scholar
- 12.European Space Agency. ASAR Product Handbook. Version 2.2. European Space Agency, 2007Google Scholar
- 20.Werner C, Wegmuller U, Strozzi T, et al. Precision estimation of local offsets between pairs of SAR SLCs and detected SAR images. International Geoscience and Remote Sensing Symposium, Seoul, Korea, 2005. 4803–4805Google Scholar
- 21.Xia Y. Bam earthquake: Surface deformation measurement using radar interferometry (in Chinese). Acta Seismol Sin, 2005, 27: 423–430Google Scholar
- 22.Wang H, Ge L L, Xu C J, et al. 3-D coseimic displacement field of the 2005 Kashmir earthquake inferred from satellite radar imagery. Earth Planets Space, 2007, 59: 343–349Google Scholar
- 23.Cui X Z, Yu Z C, Tao B Z, et al. General Surveying Adjustment (in Chinese). 2nd ed. Beijing: Surveying Press, 1992Google Scholar