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Soil moisture change estimation using InSAR coherence variations with preliminary laboratory measurements

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References

  1. 1

    Gabriel A K, Goldstein R M, Zebker H A. Mapping small elevation changes over large areas: differential radar interferometry. J Geophys Res, 1989, 94: 9183–9191

  2. 2

    Hajnsek I, Prats P. Soil moisture estimation in time with D-InSAR. In: Proceedings of IEEE International Geoscience and Remote Sensing Symposium, Boston, 2008. 546–549

  3. 3

    Hensley S, Michel T, van Zyl J, et al. Effect of soil moisture on polarimetric-interferometric repeat pass observations by UAVSAR during 2010 Canadian soil moisture campaign. In: Proceedings of IEEE International Geoscience and Remote Sensing Symposium, Vancouver, 2011. 1063–1066

  4. 4

    Morrison K, Bennett J C, Nolan M, et al. Laboratory measurement of the DInSAR response to spatiotemporal variations in soil moisture. IEEE Trans Geosci Remote Sens, 2011, 49: 3815–3823

  5. 5

    de Zan F, Parizzi A, Prats P, et al. A SAR interferometric model for soil moisture. IEEE Trans Geosci Remote Sens, 2014, 52: 418–425

  6. 6

    Yin Q, Hong W, Li Y, et al. Analysis on soil moisture estimation of SAR data based on coherent scattering model. In: Proceedings of the 10th European Conference on Synthetic Aperture Radar, Berlin, 2014. 739–742

  7. 7

    Zwieback S, Hensley S, Hajnsek I. A polarimetric firstorder model of soil moisture effects on the DInSAR coherence. Remote Sens, 2015, 7: 7571–7596

  8. 8

    Zebker H A, Villasenor J. Decorrelation in interferometric radar echoes. IEEE Trans Geosci Remote Sens, 1992, 30: 950–959

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Correspondence to Qiang Yin.

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The authors declare that they have no conflict of interest.

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Yin, Q., Hong, W., Lin, Y. et al. Soil moisture change estimation using InSAR coherence variations with preliminary laboratory measurements. Sci. China Inf. Sci. 60, 29301 (2017). https://doi.org/10.1007/s11432-015-0839-1

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