Skip to main content
SpringerLink
Log in

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

  • Letter
  • Published:
Science China Information Sciences Aims and scope Submit manuscript

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

References

  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

    Article  Google Scholar 

  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

    Google Scholar 

  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

    Google Scholar 

  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

    Article  Google Scholar 

  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

    Article  Google Scholar 

  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

    Google Scholar 

  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

    Article  Google Scholar 

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

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, 100029, China

    Qiang Yin

  2. National Key Laboratory of Science and Technology on Microwave Imaging, Institute of Electronics, Chinese Academy of Sciences, Beijing, 100190, China

    Qiang Yin, Wen Hong & Yun Lin

  3. Beijing Institute of Electronic System Engineering, Beijing, 100854, China

    Yang Li

Authors
  1. Qiang Yin
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Wen Hong
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yun Lin
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yang Li
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Qiang Yin.

Additional information

The authors declare that they have no conflict of interest.

Electronic supplementary material

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

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

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11432-015-0839-1

Search

Navigation