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Mapping Three-Dimensional Co-Seismic Deformations Fields by Combining Multiple-Aperture Interferometry and Differential Interferometric Synthetic Aperture Radar Techniques

  • Hong-lei Yang
  • Jun-huan PengEmail author
Research Article

Abstract

DInSAR technique based displacement measurement is sensitive to only radar line-of-sight, which renders it hard to determine 3D co-seismic deformations. To infer these deformations, a method based on the robust least squares method by combining the multiple-aperture interferometry (MAI) and DInSAR is applied to one ascending and one descending interferometric pair for the 2003 Bam, Iran, earthquake. The results reveal that co-seismic deformations not has the level strike-slip in north-south direction, but also has a large vertical component and a horizontal component in east-west direction. In areas with high interferometry coherence (>0.6), the standard deviation of MAI results is less than 0.075 m, and the 3D deformations are consistent with results of combining DInSAR and Offset Tracking technology in up-down and east-west directions with the maximum difference of 0.031 m. But the differences in south-north direction are relatively large on decimeter level. Therefore, the proposed method can be used to model reliable and accurate 3D surface displacement fields and benefit for analyzing the causes and effects of the earthquake.

Keywords

DInSAR MAI 3D surface deformation Robust least squares BAM earthquake 

Notes

Acknowledgements

This work was supported by the following research projects: the National Natural Science Foundation of China (41304012, 61427802, 41330634, 41374016); the Fundamental Research Funds for the Central Universities (2652015180). The authors would like to thank anonymous reviewers who gave valuable suggestion that has helped to improve the quality of the manuscript.

References

  1. Bechor, N., & Zebker, H. A. (2006). Measuring two-dimensional movements using a single InSAR pair. Geophysical Research Letters, 33, L16311.CrossRefGoogle Scholar
  2. Cui, X. Z., Yu, Z. T., & Tao, B. Z. (2008). Generalized surveying adjustment (new). Beijing:Surveying and Mapping Press.Google Scholar
  3. Ding, X. L., Liu, G. X., Li, Z. W., & Chen, Y. Q. (2004). Ground subsidence monitoring in Hong Kong with satellite SAR Interferometry. Photogrammetric Engineering and Remote Sensing, 70(10), 1151–1156.CrossRefGoogle Scholar
  4. Eshghi S., & Zaré M. (2003). BAM (SE Iran) Earthquake of 26 December 2003, Mw6. 5: a preliminary reconnaissance report, website: http://www.iiees.ac.ir/English/bam_report_english_recc.html.
  5. Farr, T., & Kobrick, M. (2003). Shuttle radar topography mission produces a wealth of data. Eos, Transactions of the American Geophysical Union 2000, 81, 583–585.CrossRefGoogle Scholar
  6. Fialko, Y., Simons, M., & Agnew, D. (2001). The complete (3D) surface displacement field in the central area of the 1999 MW 7.1 Hector Mine Earthquake, California, from space geodetic bservations. Geophysical Research Letters, 28, 3063–3066.CrossRefGoogle Scholar
  7. Fialko, Y., Sandwell, D., Simons, M., & Rosen, P. (2005). Three-dimensional deformation caused by the BAM, Iran, earthquake and the origin of shallow slip deficit. Nature, 435, 295–299.CrossRefGoogle Scholar
  8. Funning, G. J., Parsons, B., Wright, T. J., Jackon, J. A., & Fielding, E. J. (2005). Surface displacements and source parameters of the 2003 BAM Iran earthquake from Envisat advanced synthetic aperture radar imagery. Journal of Geophysical Research, 110, B09406.CrossRefGoogle Scholar
  9. Gudmundsson, S., & Sigmundsson, F. (2002). Three-dimensional surface motion maps estimated from combined interferometric synthetic aperture radar and GPS data. Journal of Geophysical Research, 107, 1–14.CrossRefGoogle Scholar
  10. Hashimotom, M., Enomotom, M., & Fukushima, Y. (2010). Coseismic Deformation from the 2008 Wenchuan, China, Earthquake derived from ALOS/PALSAR Images. Tectonophysics, 491, 59–71.CrossRefGoogle Scholar
  11. Hu, J., Li, Z. W., Zhu, J. J., Ren, X. C., & Ding, X. L. (2010). Inferring three-dimensional surface displacement field by combining SAR interferometric phase and amplitude information of ascending and descending orbits. Science China Earth Sciences, 40(3), 307–318.Google Scholar
  12. Hu, B., Wang, H. S., Shen, Q., & Jiang, L. M. (2012a). Coseismic Displacements Field of the BAM Earthquake Inferred from InSAR. Journal of Information & Computational Science, 9(9), 2537–2544.Google Scholar
  13. Hu, J., Li, Z. W., Zhang, L., Ding, X. L., Zhu, J. J., Sun, Q., & Ding, W. (2012b). Correcting ionospheric effects and monitoring two-dimensional displacement fields with multiple-aperture InSAR technology with application to the Yushu earthquake. Science China Earth Sciences, 55, 1961–1971.CrossRefGoogle Scholar
  14. Hu, J., Li, Z. W., Zhu, J. J., Ding, X. L., Wang, C. C., & Sun, Q. (2013). Measuring three-dimensional surface displacements from combined InSAR and GPS data based on BFGS ethod. Chinese Journal of Geophysics, 56(1), 117–126.Google Scholar
  15. Jung, H. S., Lu, Z., Won, J. S., & Millius, A. (2011). Mapping three-dimensional surface deformation by combining multiple-aperture interferometry and conventional interferometry: application to the June 2007 ruption of Kilauea Volcano, Hawaii. IEEE Geoscience and Remote Sensing Letters, 8, 34–38.CrossRefGoogle Scholar
  16. Lu, Z., Masterlark, T., Dzusisin, D., Rykhus, R., & Wicks, J. C. (2003). Magma supply dynamics at westdahl volcano, Alaska, modeled from satellite radar interferometry. Journal of Geophysical Research, 108(B7), 2354.CrossRefGoogle Scholar
  17. Massonnet, D., & Feigl, K. J. (1998). Radar interferometry and its application to Changes in the Earth surface. Reviews of Geophysics, 36(4), 441–500.CrossRefGoogle Scholar
  18. Qiu, W. N., Tao, B. Z., & Yao, Y. B. (2008). The theory and method of surveying data processing. Wuhan:Wuhan university press.Google Scholar
  19. Rodriguez, E., & Martin, J. M. (1992). Theory and design of interferometric synthetic aperture adars. IEEE Proceedings Part F Radar Signal Process, 139(2), 149–159.CrossRefGoogle Scholar
  20. Sun, J. B., Liang, F., Xu, X. W., & Gong, P. (2006). 3D Co-seismic deformation field of the BAM earthquake (Mw6.5) from ascending and descending pass ASAR radar interferometry. Journal of remote sensing (in Chinese), 10, 489–496.Google Scholar
  21. Wang, C., Zhang, H., & Liu, Z. (2002). Subsidence of Suzhou City (China) from 1993 to 1995 detected by ERS differential SAR interferometry. Chinese Journal of Geophysics, 45:244–253.Google Scholar
  22. Wright, T. J., Parsons, B. E., & Lu, Z. (2004). Toward mapping surface deformation in three dimensions using InSAR. Geophysical Research Letters, 31:L01607.CrossRefGoogle Scholar
  23. Zebker, H. A., & Villasenor, J. (1992). Decorrelation in interferomtric radar echos. IEEE Transactions on Geoscience and Remote Sensing, 30, 950–959.CrossRefGoogle Scholar

Copyright information

© Indian Society of Remote Sensing 2015

Authors and Affiliations

  1. 1.School of Land Science and TechnologyChina University of GeosciencesBeijingChina

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