Resolving Three-dimensional Surface Displacements From Insar Measurements a Review

Abstract

The ability of differential interferometric synthetic aperture radar (DInSAR) technology used for centimeter level deformation detection has been well-proved. Notwithstanding, the applications of DInSAR nether the low World orbit (LEO) are limited to the line-of-sight (LOS) measurements, the limited observation surface area and the long revisited time. Geosynchronous SAR (GEO SAR), which runs in the height of 36000 km with the advantage of a brusk revisit time and a large observation area, is a potential approach to overcome the series problems in LEO SAR. This paper focuses on estimating three-dimensional (3D) displacements by using GEO SAR DInSAR measurements caused from multiple imaging geometries. Aiming to provide a normal solution for geologic hazard monitoring and relative geophysical application in the future, the errors induced by decorrelation noise, orbital ramp and ionospheric distortion are analyzed for the GEO SAR DInSAR measurements. A serial of experiments have been conducted to observe the relationship between the 3D displacements and the DInSAR observations which are provided with unlike noises and combinations of imaging geometries. The results reveal that 3D displacements tin be expected from the combination of left- and right-looking GEO SAR DInSAR measurements. In particular, the due north-south solution tin can achieve centimeter and even millimeter level.

References

  1. Gabriel A M, Goldstein R Thousand, Zebker H A. Mapping pocket-sized superlative changes over large areas: differential radar interferometry. J Geophys Res Lett, 1989, 94: 9183–9191

    Article  Google Scholar

  2. Ferretti A, Savio One thousand, Barzaghi R, et al. Submillimeter accuracy of InSAR fourth dimension series: experimental validation. IEEE Trans Geosci Remote Sens, 2007, 45: 1142–1153

    Article  Google Scholar

  3. Sun Q, Hu J, Zhang L, et al. Towards slow-moving landslide monitoring by integrating multi-sensor InSAR fourth dimension series datasets: the Zhouqu instance study, Red china. Remote Sens, 2016, 8: 908

    Article  Google Scholar

  4. Wright T J, Parsons B Eastward, Zhong L. Toward mapping surface deformation in three dimensions using InSAR. J Geophys Res Lett, 2004, 31: 169–178

  5. Yu M, Kobayashi T, Yarai H. 3-dimensional deformation mapping of a dike intrusion result in Sakurajima in 2015 by exploiting the right- and left-looking ALOS-2 InSAR. J Geophys Res Lett, 2016, 43: 4197–4204

  6. Massonnet D, Rossi M, Carmona C, et al. The deportation field of the Landers convulsion mapped past radar interferometry. Nature, 1993, 364: 138–142

    Article  Google Scholar

  7. Zhong L, Timothy M, Daniel D. Interferometric constructed aperture radar (InSAR) written report of Okmok Volcano, Alaska, 1992-2003: Magma supply dynamics and postemplacement lava flow deformation. J Geophys Res, 2005, 110: 161–162

    Google Scholar

  8. Gray 50. Using multiple RADARSAT InSAR pairs to estimate a full three-dimensional solution for glacial ice movement. J Geophys Res Lett, 2011, 38: 132–140

    Commodity  Google Scholar

  9. Goldstein RM, Engelhardt H, Kamb B, et al. Satellite radar interferometry for monitoring ice canvas motion: application to an antarctic ice stream. Science, 1993, 262: 1525–1530

    Article  Google Scholar

  10. Gudmundsson Due south, Sigmundsson F, Carstensen J M. 3-dimensional surface motion maps estimated from combined interferometric synthetic aperture radar and GPS information. J Geophys Res, 2002, 107: ETG 13-1–ETG 13-xiv

  11. Hu J, Ding X L, Li Z Due west, et al. Vertical and horizontal displacements of Los Angeles from InSAR and GPS fourth dimension series analysis: resolving tectonic and anthropogenic motions. J Geodyn, 2016, 99: 27–38

    Article  Google Scholar

  12. Hu J, Li Z Westward, Sunday Q, et al. Three-dimensional surface displacements from InSAR and GPS measurements with variance component estimation. IEEE Geosci Remote Sens Lett, 2012, 9: 754–758

    Article  Google Scholar

  13. Guglielmino F, Nunnari Chiliad, Puglisi G, et al. Simultaneous and integrated strain tensor interpretation from geodetic and satellite deformation measurements to obtain three-dimensional displacement maps. IEEE Trans Geosci Remote Sens, 2011, 49: 1815–1826

    Commodity  Google Scholar

  14. Tomiyasu Thou, Pacelli J L. Constructed aperture radar imaging from an inclined geosynchronous orbit. IEEE Trans Geosci Remote Sens, 1983, GE-21: 324–329

    Article  Google Scholar

  15. Kou 50 50, Wang X Q, Xiang One thousand Due south, et al. Interferometric estimation of iii-dimensional surface deformation using geosynchronous circular SAR. IEEE Trans Aerosp Electron Syst, 2012, 48: 1619–1635

    Commodity  Google Scholar

  16. Dong X C, Hu C, Tian W Yard, et al. Feasibility report of inclined geosynchronous SAR focusing using Beidou IGSO signals. Sci Communist china Inf Sci, 2016, 59: 129302

    Article  Google Scholar

  17. Hu C, Long T, Zeng T, et al. The accurate focusing and resolution analysis method in geosynchronous SAR. IEEE Trans Geosci Remote Sens, 2011, 49: 3548–3563

    Article  Google Scholar

  18. Hobbs S, Mitchell C, Forte B, et al. Organization pattern for geosynchronous constructed aperture radar missions. IEEE Trans Geosci Remote Sens, 2014, 52: 7750–7763

    Article  Google Scholar

  19. Monti G A, Broquetas A, Recchia A, et al. Advanced Radar Geosynchronous Observation Arrangement: ARGOS. IEEE Geosci Remote Sens Lett, 2015, 12: 1406–1410

    Article  Google Scholar

  20. Prati C, Rocca F, Giancola D, et al. Passive geosynchronous SAR organization reusing backscattered digital sound wide-casting signals. IEEE Trans Geosci Remote Sens, 1998, 36: 1973–1976

    Article  Google Scholar

  21. Kou L L, Wang X Q, Xiang M South, et al. Outcome of orbital errors on the geosynchronous circular synthetic discontinuity radar imaging and interferometric processing. J Zhejiang Univ Sci, 2011, 12: 404–416

    Article  Google Scholar

  22. Hu C, Li Y H, Dong 10 C, et al. Functioning analysis of L-band geosynchronous SAR imaging in the presence of ionospheric scintillation. IEEE Trans Geosci Remote Sens, 2017, 55: 159–172

    Article  Google Scholar

  23. Dong X C, Hu C, Tian Y, et al. Experimental study of ionospheric impacts on geosynchronous SAR using GPS signals. IEEE J Sel Top Appl Earth Obs Remote Sens, 2016, 9: 2171–2183

    Commodity  Google Scholar

  24. Li Y H, Hu C, Dong 10 C, et al. Impacts of ionospheric scintillation on geosynchronous SAR focusing: preliminary experiments and analysis. Sci China Inf Sci, 2015, 58: 109301

    Google Scholar

  25. Hu J, Wang Q J, Li Z Due west, et al. Investigating the basis deformation and source model of the Yangbajing geothermal field in Tibet, China with the WLS InSAR technique. Remote Sens, 2016, viii: 191

    Commodity  Google Scholar

  26. Hu J, Ding X L, Zhang 50, et al. Interpretation of three-D surface displacement based on InSAR and deformation modeling. IEEE Trans Geosci Remote Sens, 2017, 55: 2007–2016

    Article  Google Scholar

  27. Vasco D West, Johnson L R, Goldstein N E. Using surface deportation and strain observations to determine deformation at depth, with an application to Long Valley Caldera, California. J Geophys Res, 1988, 93: 3232–3242

    Commodity  Google Scholar

  28. Okada Y. Internal deformation due to shear and tensile faults in a one-half-space. Bull Seism Soc Amer, 1992, 92: 1018–1040

    Google Scholar

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

    Commodity  Google Scholar

  30. Hu J, Li Z W, Ding X L, et al. Resolving three-dimensional surface displacements from InSAR measurements: a review. Globe-Sci Rev, 2014, 133: one–17

    Commodity  Google Scholar

  31. Hanssen R F. Radar Interferometry: Information Interpretation and Error Analysis. Dordrecht: Springer Science+Business Media. 2001

    Book  Google Scholar

  32. But D, Bamler R. Phase statistics of interferograms with applications to constructed aperture radar. Appl Opt, 1994, 33: 4361–4368

    Article  Google Scholar

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Acknowledgments

This piece of work was supported by Advanced Project of Civil Aerospace Research of China: Earth Application and Key Technology Research of 20 thou-Resolution Geosynchronous SAR Satellite, National Natural Science Foundation of China (Grant Nos. 41404011, 41674010), Major Projects of High Resolution Earth Observation (Civil Part) (Grant No. 03-Y20A11-9001-15/16), National Research Foundation for the Doctoral Program of Higher Educational activity of Prc (Grant No. 20130162110015). The authors thank anonymous reviewers for their comments which profoundly improve the quality of the manuscript.

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Correspondence to Jun Hu.

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Zheng, W., Hu, J., Zhang, W. et al. Potential of geosynchronous SAR interferometric measurements in estimating three-dimensional surface displacements. Sci. People's republic of china Inf. Sci. 60, 060304 (2017). https://doi.org/10.1007/s11432-016-9079-8

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  • DOI : https://doi.org/10.1007/s11432-016-9079-8

Keywords

  • GEOSAR
  • 3D displacements
  • DInSAR
  • IGSO
  • random error
  • systematic error

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