Skip to main content
SpringerLink
Log in

Landslide monitoring with high-resolution SAR data in the Three Gorges region

  • Research Paper
  • Published:
Science China Earth Sciences Aims and scope Submit manuscript

Abstract

Employing the well-known D-InSAR technique, we investigated landslide monitoring in the Three Gorges region using TerraSAR-X data. The experiment demonstrates that using both the amplitude and differential phase allows us to identify the precise location, deformation and time range of occurrence of certain landslides. To overcome the atmospheric effect on D-InSAR results, a time-series analysis was also carried out. The observed nonlinear relationship between the deformation and water level suggests that reservoir water level fluctuation is one of the major causes of landslides, which is significant in terms of issuing landslide warnings. In addition, the comparison of TerraSAR-X and C-band ASAR data results indicates that TerraSAR-X data provide far more reasonable deformation measurements because of their high temporal and spatial resolutions.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Ding J, Yang Z, Shang Y, et al. New prediction and warning method of landslide hazard triggered by heavy rainfall. Sci China Ser D-Earth Sci, 2006, 36: 579–586

    Google Scholar 

  2. Li L, the prevention and treatment of major geological disasters in Three Gorges Area. Land Resour, 2002, (4): 4–7

    Google Scholar 

  3. Peng X, Zhang Y, Yan D, et al. Deformation monitoring of several classic landslides after the impoundment of the Three Gorges Reservoir. In: Chinese Bureau of Geological Survey, ed. Geological Hazard Investigation and Monitoring Methods, Sept. 16–18, Beijing: China Land Press, 2004. 255–261

    Google Scholar 

  4. The Centre of Geology Hazards Prevention of Three Gorges Reservoir. Qianjiangping landslide in Zigui country, Hubei Province. Chin J Geol Hazard Contr, 2003, 14: 144

    Google Scholar 

  5. Liao M, Lin H. Synthetic Aperture Radar Interferometry-Principle and Signal Processing. Beijing: Surveying and Mapping Press, 2003. 167

    Google Scholar 

  6. Massonnet D, Rossi M, Carmona C. The displacement field of the Landers earthquake mapped by interferometry. Nature, 1993, 138–142

  7. Zebker H A, Rosen P A, Goldstein R M, et al. On the derivation of coseismic displacement fields using differential radar interferometry: Landers earthquake. Inter Geosci Remote Sensing Symp, 1994, 1: 286–288

    Google Scholar 

  8. Shan X J, Ma J, Wang C L, et al. Co-seismic ground deformation and source parameters of Mani earthquake inferred from spaceborne D-InSAR observation data. Sci China Ser D-Earth Sci, 2002, 32: 837–844

    Google Scholar 

  9. Fruneau B, Achache J, Delacourt C. Observation and modeling of the Saint-Etienne-de-tinee landslide using SAR Interferometry. Tectonophysics, 1996, 265: 181–190

    Article  Google Scholar 

  10. Ferretti A, Prati C, Rocca F. Nonlinear subsidence rate estimation using permanent scatterers in differential SAR interferometry. IEEE Trans Geosci Remote Sensing, 2000, 38: 2202–2212

    Article  Google Scholar 

  11. Ferretti A, Prati C, Rocca F. Permanent scatterers in SAR interferometry. IEEE Trans Geosci Remote Sensing, 2001, 39: 8–20

    Article  Google Scholar 

  12. Best M. Kampers, Radar Interferometry Scatterer Technique. Heidberg: Springer, 2006. 43–66

    Google Scholar 

  13. Ferretti A, Savio G, Barzaghi R, et al. Submillimeter accuracy of InSAR time series: Experimental validation. IEEE Trans Geosci Remote Sensing, 2007, 45: 1142–1153

    Article  Google Scholar 

  14. Wang Y, Liao M S, Li D R, et al. Subsidence velocity retrieval from long-term coherent targets in radar interferometric stacks. Chin J Geophys, 2007, 50: 598–604

    Google Scholar 

  15. Hooper A J. Persistent scatterer radar interferometry for crustal deformation. Dissertation for the Doctoral Degree. Stanford: Stanford University, 2006

    Google Scholar 

  16. Hooper A. A multi-temporal InSAR method incorporating both persistent scatterer and small baseline approaches. Geophys Res Lett, 2008, 35: L16302.1–L16302.5

    Article  Google Scholar 

  17. Colesanti C, Ferretti A, Prati C, et al. Monitoring landslides and tectonic motions with the Permanent Scatterers Technique. Eng Geol, 2003, 68: 3–14

    Article  Google Scholar 

  18. Hilley G E, Burgmann R, Ferretti A, et al. Dynamics of slow-moving landslides from permanent scatterer analysis. Science, 2004, 304: 1952–1955

    Article  Google Scholar 

  19. You X, Li S, Yang S, et al. Preliminary studies on InSAR application in Three Gorges Area. Crust Deform Earthq, 2001, 21: 58–66

    Google Scholar 

  20. Gao L, Zen Q. Terrain deformation monitoring in Three Gorges area using permanent scatterers SAR interferometry. In: Proceedings ScanGIS’2007, 2007

  21. Wang T, Perissin D, Liao M, et al. Deformation monitoring by long-term D-InSAR analysis in Three Gorges area, China. In: 2008 IEEE International Geoscience and Remote Sensing Symposium-Proceedings, July 6–11, 2008. Boston: Institute of Electrical and Electronics Engineers Inc, 2008

    Google Scholar 

  22. Wang T, Liao M, Perissin D. InSAR coherence-decomposition analysis. Geosci Remote Sensing Lett IEEE, 2010, 7: 156–160

    Article  Google Scholar 

  23. Wang T, Perissin D, Rocca F, et al. Three Gorges Dam stability monitoring with time series InSAR analysis. Sci China Ser D-Earth Sci, 2011, 54: 720–732

    Article  Google Scholar 

  24. Liao M, Tian X, Zhao Q. TerraSAR-X/TanDEM-X radar remote sensing plan and application. J Geomatics, 2007, 32: 44–46

    Google Scholar 

  25. Wegmuller U, Walter D, Spreckels V, et al. Nonuniform ground motion monitoring with TerraSAR-X persistent scatterer interferometry. IEEE Trans Geosci Remote Sensing, 2010, 48: 895–904

    Article  Google Scholar 

  26. Baran I, Stewart M, Claessens S. A new functional model for determining minimum and maximum detectable deformation gradient resolved by satellite radar interferometry. IEEE Trans Geosci Remote Sensing, 2005, 43: 675–682

    Article  Google Scholar 

  27. Zebker H A, Rosen P A, Hensley S. Atmospheric effects in interferometric synthetic aperture radar surface deformation and topographic maps. J Geophys Res, 1997, 102: 7547–7563

    Article  Google Scholar 

  28. Prati C, Ferretti A, Perissin D. Recent advances on surface ground deformation measurement by means of repeated space-borne SAR observation. J Geodyn, 2010, 49: 161–170

    Article  Google Scholar 

  29. Chen T. Study on Stability Evaluation of the Large-Scale Bank Landslides Under the Running of the Three Gorges Reservoir (in Chinese). Chongqing: Chongqing Jiaotong University Press, 2009. 81

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, China

    MingSheng Liao, Jing Tang, Teng Wang, Timo Balz & Lu Zhang

Authors
  1. MingSheng Liao
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jing Tang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Teng Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Timo Balz
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Lu Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to MingSheng Liao.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Liao, M., Tang, J., Wang, T. et al. Landslide monitoring with high-resolution SAR data in the Three Gorges region. Sci. China Earth Sci. 55, 590–601 (2012). https://doi.org/10.1007/s11430-011-4259-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11430-011-4259-1

Keywords

Search

Navigation