Natural Hazards

, Volume 80, Issue 1, pp 1–17 | Cite as

Ground deformation monitoring of Zhengzhou city from 2012 to 2013 using an improved IPTA

  • Hong-lei YangEmail author
  • Jun-huan Peng
  • Bao-cun Wang
  • Yong-ze Song
  • Ding-xuan Zhang
  • Lihua Li
Original Paper


To address the low efficiency of interferometric point target analysis for processing high-resolution SAR data, this paper proposes a novel thinning method for interferometric point target and an improved filtering method to reduce the large-scale atmospheric phase delay. The thinning method is used to ensure the quality of PS point based on point density, by which points in low-density area are kept, while redundant points in high-density area are removed. Analyzing thinned PSs is helpful in quickly obtaining the initial atmospheric delay, which facilitates the temporal phase unwrapping and promotes the efficiency of parameter calculation. Meanwhile, this paper proposes a filtering method for large-scale atmospheric phase delay with the fusion of multi-looking, spatial filtering and spatial interpolation methods. This method is simple and quick, compared with traditional spatial filtering methods. The case study of Zhengzhou city from 2012 to 2013 verifies that this method doubles the efficiency of the traditional data processing methods. Also, the precision of deformation velocity in this case study is up to 3.16 mm/a based on the comparison with the ground leveling measurement.


Small baseline subset Point density Ground deformation Zhengzhou city TerraSAR-X 



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.


  1. Bamler R (2000) Interferometric stereo radargrammetry: absolute height determination from ERS-ENVISAT interferograms. Int Geosci Remote Sens Symp 2:742–745. doi: 10.1109/IGARSS.2000.861689 Google Scholar
  2. Berardino P, Fornaro G, Lanari R, Sansosti E (2002) A new algorithm for surface deformation monitoring based on small baseline differential SAR interferometry. IEEE Geosci Remote Sens 40(11):2375–2383. doi: 10.1109/TGRS.2002.803792 CrossRefGoogle Scholar
  3. Colesanti C, Ferretti A, Prati C et al (2003) Monitoring landslides and tectonic motions with the permanent scatterers technique. Eng Geol 68(1–2):3–14. doi: 10.1016/S0013-7952(02)00195-3 CrossRefGoogle Scholar
  4. Feng GC et al (2015a) Source parameters of the 2014 Mw 6.1 South Napa earthquake estimated from the Sentinel 1A, COSMO-SkyMed and GPS data. Tectonophysics 655:139–146. doi: 10.1016/j.tecto.2015.05.018 CrossRefGoogle Scholar
  5. Feng GC, Xu B, Shan XJ et al (2015b) Coseismic deformation and source parameters of the 24 September 2013 Awaran, Pakistan Mw7.7 Earthquake derived from optical Landsat 8 satellite images. Chin J Geophys 58(5):1634–1644. doi: 10.6038/cjg20150515 Google Scholar
  6. Ferretti AC, Rocca F (2001) Permanent scatterers in SAR interferometry. Geosci Remote Sens 39(1):8–20. doi: 10.1109/IGARSS.1999.772008
  7. He CQ, Liu WB, Li ZM (2006) Land subsidence survey and monitoring in the North China Plain. Geol J China Univ 12(2):195–209. doi: 10.3969/j.issn.1006-7493.2006.02.006
  8. Luo SM, Shan XJ, Zhu WW et al (2014) Monitoring vertial ground deformation in the North China Plain using the multitrack PSInSAR technique. Chinese J. Geophys 57(10):3129–3139. doi: 10.6038/cjg20141004. (in Chinese)
  9. Masato F (2007) Application of interferometric point target analysis to Izu-Oshima Volcano, Japan. In: Envisat symposium 2007, Montreux, 23–27 April 2007. European Space AgencyGoogle Scholar
  10. Strozzi T, Re L, Valenti G et al (2005) SAR interferometric point target analysis of slope instabilities in the community of Biasca, Switzerland. In: Fringe ATSR workshop 2005, European Space AgencyGoogle Scholar
  11. Touzi R, Lopes A, Bruniquel J, Vachon PW (1999) Coherence estimation for SAR imagery. Trans Geosci Remote Sens 37(1):135–149. doi: 10.1109/36.739146 CrossRefGoogle Scholar
  12. Wang Y, Liao MS, Li DR et al (2007) Subsidence velocity retrieval from long-term coherent targets in radar interferometric stacks. Chin J Geophys 50(2):586–604 (in Chinese) CrossRefGoogle Scholar
  13. Wang BC, Li FF, Fan D et al (2013) Application of PS-InSAR technique in land subsidence investigation of Zhengzhou. Sci Surv Mapp 38(5):43–45 (in Chinese) Google Scholar
  14. Wegmuller U, Walter D, Spreckels V, Werner CL (2010) Nonuniform ground motion monitoring with TerraSAR-X persistent scatterer interferometry. IEEE Trans Geosci Remote Sens 48(2):89–904. doi: 10.1109/TGRS.2009.2030792 CrossRefGoogle Scholar
  15. Werner CL, Wegmuller U, Strozzi T, Wiesmann A (2003) Interferometric point target analysis for deformation mapping. In: Proceedings of international geoscience remote sensing symposium 2003. Toulouse, France, 21–25 July 2003. Vol 7, pp 4362–4364. doi: 10.1109/IGARSS.2003.1295516
  16. Wu HA, Zhang YH, Chen XY et al (2011) Ground deformation monitoring using small baseline D-InSAR technique: a case study in Taiyuan city from 2003 to 2009. Chin J Geophys 54(3):673–680. doi: 10.3969/j.issn.0001-5733.2011.03.006 (in Chinese) Google Scholar
  17. Zebker HA, Villasenor J (1992) Decorrelation in interferometric radar echoes. IEEE Trans Geosci Remote Sens 30(5):950–959. doi: 10.1109/36.175330
  18. Zhao Q, Lin H, Gao W et al (2011) InSAR detection of residual settlement of an ocean reclamation engineering project: a case study of Hong Kong International Airport. J Oceanogr 67(4):415–426. doi: 10.1007/s10872-011-0034-3 CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2015

Authors and Affiliations

  • Hong-lei Yang
    • 1
    Email author
  • Jun-huan Peng
    • 1
  • Bao-cun Wang
    • 2
  • Yong-ze Song
    • 1
  • Ding-xuan Zhang
    • 3
  • Lihua Li
    • 1
  1. 1.School of Land Science and TechnologyChina University of GeosciencesBeijingChina
  2. 2.Institute of SurveyingMapping and Geo-information of Henan Provincial Bureau of Geo-exploration and Mineral DevelopmentZhengzhouChina
  3. 3.University of Chinese Academy of SciencesBeijingChina

Personalised recommendations