Movatterモバイル変換

[0]ホーム
URL:

Skip to main content

Advertisement

Springer Nature Link
Log in

Simulation and Analysis of Backscattering Characteristics of Soil with Row Structure

  • Conference paper
  • First Online:

Abstract

In order to retrieve soil moisture through active microwave methods, the quantitative relation between the backscattering coefficients and soil moisture should be established. The dependence of backscattering coefficients on soil parameters, radar parameters and row structure parameters was analyzed by using Ulaby model. It was found that M values (the sensitivity of backscattering coefficient to azimuth angle) in different polarization modes showed as HH > VV > VH. The M value is influenced by the variation of soil moisture and surface roughness in HH polarization, but that won’t happen in VV and VH polarizations, so VV and VH polarizations are more suitable for retrieving soil moisture with row structure. The responding function is different for different incident angles, if the incident angles changes significantly in a SAR image, the effect must be considered in building inversion model of soil moisture.

Supported by Training plan of Guangdong Province outstanding young teachers in Higher Education Institutions (Grand No. YQ2013194) and Shenzhen strategic emerging industry development funds (JCYJ20140418100633634).

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

Access this chapter

Similar content being viewed by others

References

  1. Ulaby, F.T., Moore, R.K., Fung, A.K.: Microwave Remote Sensing: Active And passive, vol. III-Volume Scattering and Emission Theory, Advanced Systems and Applications. Artech House, Dedham (1986)

    Google Scholar 

  2. Li, Y.Q., Zhang, L.X., Jiang, L.M., Chai, L.N., Zhang, T.: A study on the effect of wheat row-structure on microwave emissivity using field experiment data. In: 2011 IEEE International Geoscience and Remote Sensing Symposium, pp. 779–782. IEEE Press, Vancouver (2011)

    Google Scholar 

  3. Wang, J.R., Newton, R.W., Rouse, J.W.: Passive microwave remote sensing of soil moisture: the effect of tilled row structure. IEEE Trans. Geosci. Remote Sens.GE-18, 296–302 (1980)

    Article  Google Scholar 

  4. Promes, P.M., Jackson, T.J., O’Neill, P.E.: Significance of agricultural row structure on the microwave emissivity of soils. IEEE Trans. Geosci. Remote Sens.26, 580–589 (1988)

    Article  Google Scholar 

  5. Zheng, X.M., Zhao, K., Zhang, S.W.: Results of soil moisture inversion from radiometer biased by periodic change of row structure on farmland. J. Remote Sens.16, 1310–1330 (2012). (in Chinese)

    Google Scholar 

  6. Ulaby, F.T., Kouyate, F., Fung, A.K., Sieber, A.J.: A backscatter model for a randomly perturbed periodic surface. IEEE Trans. Geosci. Remote Sens.GE-20, 518–528 (1982)

    Article  Google Scholar 

  7. Engman, E.T., Wang, J.R.: Evaluating roughness models of radar backscatter. IEEE Trans. Geosci. Remote Sens.GE-25, 709–713 (1987)

    Article  Google Scholar 

  8. Daniel, S., Allain, S., Ferro-Famil, L, Pottier, E: Surface parameter estimation over periodic surfaces using a time-frequency approach. In: 2008 IEEE International Geoscience and Remote Sensing Symposium, pp. 406–409. IEEE Press, Boston (2008)

    Google Scholar 

  9. Beaudoin, A., Le Toan, T., Gwyn, Q.H.J.: SAR observations and modeling of the C-Band backscatter variability due to multiscale geometry and soil moisture. IEEE Trans. Geosci. Remote Sens.28, 886–895 (1990)

    Article  Google Scholar 

  10. Yin, N., Jiang, Q.G., Meng, Z.G., Li, Y.H.: Use of fully polarimetric RADARSAT-2 data to retrieve soil moisture of periodic surfaces. Trans. Chin. Soc. Agric. Eng.29, 72–79 (2013). (in Chinese)

    Google Scholar 

  11. Oh, Y.: Quantitative retrieval of soil moisture content and surface roughness from multipolarized radar observations of bare soil surfaces. IEEE Trans. Geosci. Remote Sens.42, 596–601 (2004)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Surveying and Prospecting Engineering, Jilin Jianzhu University, No. 5088, Xincheng Street, Changchun, China

    Nan Yin

  2. China Power Engineering Consulting Group, Northeast Electric Power Design Institute, Changchun, China

    Jingwei Wang

  3. Shenzhen Institute of Information Technology, Shenzhen, China

    Shaobin Zhan

Authors
  1. Nan Yin

    You can also search for this author inPubMed Google Scholar

  2. Jingwei Wang

    You can also search for this author inPubMed Google Scholar

  3. Shaobin Zhan

    You can also search for this author inPubMed Google Scholar

Corresponding author

Correspondence toNan Yin.

Editor information

Editors and Affiliations

  1. Wuhan University, Wuhan, China

    Fuling Bian

  2. Eastern Michigan University, Ypsilanti, China

    Yichun Xie

Rights and permissions

Copyright information

© 2016 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Yin, N., Wang, J., Zhan, S. (2016). Simulation and Analysis of Backscattering Characteristics of Soil with Row Structure. In: Bian, F., Xie, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. GRMSE 2015. Communications in Computer and Information Science, vol 569. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49155-3_46

Download citation

Publish with us

[8]ページ先頭
©2009-2025 Movatter.jp