Vol. 48

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2016-04-19

Backscattering Analysis for Snow Remote Sensing Model with Higher Order of Surface-Volume Scattering

By Syabeela Syahali and Hong-Tat Ewe
Progress In Electromagnetics Research M, Vol. 48, 25-36, 2016
doi:10.2528/PIERM15122601

Abstract

The study of earth terrain in Antarctica is important as this region has a direct impact on global environment and weather condition. There have been many research works in developing remote sensing technologies, as it can be used as an earth observation technique to monitor the polar region (Giles et al., 2009; Park et al., 2012). In previous studies, remote sensing forward model has been developed to study and understand scattering mechanisms and sensitivity of physical parameters of snow and sea ice. This paper is an extended work from previous studies (Syahali et al., 2011; Syahali, 2012; Syahali and Ewe, 2012, 2013), where an improved theoretical model to study polar region was developed. Multiple-surface scattering, based on an existing integral equation model (IEM) that calculates surface scattering and additional second-order surface-volume scattering, were added in the model from prior research works (Ewe et al., 1998) for improvement in the backscattering calculation. We present herein the application of this model on a snow layer above ground which is modeled as a volume of ice particles that are closely packed and bounded by irregular boundaries above a homogenous half space. The effect of including multiple surface scattering and additional surface-volume scattering up to second order in the backscattering coefficient calculation of snow layer is studied for co-polarized and cross-polarized returns. Comparisons with satellite data are also done for validation. Results show improvement in the total backscattering coefficient for cross-polarized return in the studied range, suggesting that multiple-surface scattering and surface-volume scattering up to second order are important scattering mechanisms in the snow layer and should not be ignored in polar research.

Citation


Syabeela Syahali and Hong-Tat Ewe, "Backscattering Analysis for Snow Remote Sensing Model with Higher Order of Surface-Volume Scattering," Progress In Electromagnetics Research M, Vol. 48, 25-36, 2016.
doi:10.2528/PIERM15122601
http://www.jpier.org/PIERM/pier.php?paper=15122601

References


    1. Albert, M. D., Y. J. Lee, H. T. Ewe, and H.-T. Chuah, "Multilayer model formulation and analysis of radar backscattering from sea ice," Progress In Electromagnetics Research, Vol. 128, 267-290, 2012.
    doi:10.2528/PIER12020205

    2. Alvarez-Perez, J., "An extension of the IEM/IEMM surface scattering model," Waves Random Media, Vol. 11, No. 3, 307-329, 2001.

    3. Chandrasekhar, S., Radiative Transfer, Dover, New York, 1960.

    4. Chuah, H. T., S. Tjuatja, A. K. Fung, and J. W. Bredow, "The volume scattering coefficient of a dense discrete random medium," IEEE Transaction of Geoscience Remote Sensing, Vol. 34, No. 4, 1137-1143, 1996.
    doi:10.1109/36.536529

    5. Chuah, H. T., S. Tjuatja, A. K. Fung, and J. W. Bredow, "Radar backscatter from dense discrete random medium," IEEE Transaction of Geoscience Remote Sensing, Vol. 35, No. 4, 892-899, 1997.
    doi:10.1109/36.602531

    6. Ewe, H. T. and H. T. Chuah, "A study of dense medium effect using a simple backscattering model," Proceedings of IEEE International Geoscience and Remote Sensing Symposium, Vol. 3, 1427-1429, 1997.

    7. Ewe, H. T., H. T. Chuah, and A. K. Fung, "A backscatter model for a dense discrete medium: Analysis and numerical results," Remote Sensing of Environment, Vol. 65, No. 2, 195-203, 1998.
    doi:10.1016/S0034-4257(98)00027-3

    8. Fung, A. K. and H. J. Eom, "A study of backscattering and emission from closely packed inhomogeneous media," IEEE Transactions on Geosciences Remote Sensing GE, Vol. 23, No. 5, 761-767, 1985.
    doi:10.1109/TGRS.1985.289395

    9. Fung, A. K., Microwave Scattering and Emission Models and Their Applications, 164-275, Artech House, Norwood, MA, 1994.

    10. Fung, A. K., W. Y. Liu, K. S. Chen, and M. K. Tsay, "An improved IEM model for bistatic scattering," Journal of Electromagnetic Waves and Applications, Vol. 16, No. 5, 689-702, 2002.
    doi:10.1163/156939302X01119

    11. Giles, A. B., R. A. Massom, and R. C. Warner, "A method for sub-pixel scale feature-tracking using Radarsat images applied to the Mertz Glacier Tougue, East Antarctica," Remote Sensing of Environment, Vol. 113, No. 8, 1691-1699, 2009.
    doi:10.1016/j.rse.2009.03.015

    12. Ishimaru, A. and Y. Kuga, "Attenuation constant of a coherent field in a dense distribution of particles," Journal of Optical Society of America, Vol. 72, No. 10, 1317-1320, 1982.
    doi:10.1364/JOSA.72.001317

    13. Lee, Y. J., W. K. Lim, and H. T. Ewe, "A study of an inversion model for sea ice thickness retrieval in Ross Island, Antarctica," Progress In Electromagnetics Research, Vol. 111, 381-406, 2011.
    doi:10.2528/PIER10100411

    14. Matzler, C., E. Schanda, R. Hofer, and W. Good, Microwave Signatures of the Natural Snow Cover at Weissfluhjoch, Vol. 2153, 203-223, NASA Conference Publication, 1980.

    15. Park, H., H. Yabuki, and T. Ohata, "Analysis of satellite and model datasets for variability and trends in Arctic snow extent and depth, 1948-2006," Polar Science, Vol. 6, No. 1, 23-37, 2012.
    doi:10.1016/j.polar.2011.11.002

    16. Syahali, S., H. T. Ewe, and S. A. Ibrahim, "Theoretical modeling and analysis of multiple surface scattering and surface-volume scattering in snow layer," AKEPTs 1st Annual Young Researchers Conference and Exhibition (AYRC X3 2011), Kuala Lumpur, December 2011.

    17. Syahali, S., A Study of Surface and Surface-volume Scattering, Lap Lambert Academic Publishing, Germany, 2012.

    18. Syahali, S. and H. T. Ewe, "Model development and analysis of multiple surface scattering and surface-volume scattering in sea ice layer," IEEE Asia-Pacific Conference on Applied Electromagnetics (APACE 2012), Melaka, Malaysia, December 2012.

    19. Syahali, S. and H. T. Ewe, "Remote sensing backscattering model for sea ice: Theoretical modelling and analysis," Advances in Polar Science, Vol. 24, No. 4, 258-264, 2013.
    doi:10.3724/SP.J.1085.2013.00258

    20. Wen, B., L. Tsang, D. P. Winebrenner, and A. Ishimaru, "Dense medium radiative transfer theory: Comparison with experiment and application to microwave remote sensing and polarimetry," IEEE Transactions on Geoscience and Remote Sensing, Vol. 28, No. 1, 46-59, 1990.
    doi:10.1109/36.45744

    21. Wu, T. D. and K. S. Chen, "A reappraisal of the validity of the IEM model for backscattering from rough surfaces," IEEE Transactions on Geoscience and Remote Sensing, Vol. 42, No. 4, 743-753, 2004.
    doi:10.1109/TGRS.2003.815405

    22. Wu, T. D., K. S. Chen, J. Shi, H. W. Lee, and A. K. Fung, "A study of an AIEM model for bistatic scattering from randomly rough surfaces," IEEE Transactions on Geoscience and Remote Sensing, Vol. 46, No. 9, 2584-2598, 2008.
    doi:10.1109/TGRS.2008.919822