New Method for Internal Wave Parameters Retrieval by SAR

Abstract:

This paper introduce a new method for extracting internal wave parameters from SAR image. The surface current induced by the internal wave is simulated according to the KDV equation. Then the radar cross section induced by the internal wave can be calculated. The wind speed and pycnocline depth are modified using the dichotomy method step by step which causes the simulation radar cross sections close to those measured from the SAR image. Finally, both the wind speed and pycnocline depth can be obtained. This method is tested on the example of an SAR image. The simulated internal wave signal is consistent with the radar cross sections of SAR images. Their correlation coefficient is up to 90%, which indicates that this method is convergent and applicable.

• Periodical: Advanced Materials Research (Volumes 1092-1093)
• Pages: 1326-1330
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1092-1093.1326
• Online since: March 2015
• Authors: Kai Guo Fan, Peng Chen*, Yan Zhen Gu, Ting Ting Liu, Wei Wang
• Keywords: Internal Wave, Retrieval, Synthetic Aperture Radar

References

[1] Alpers W and Hennings I. A theory of the imaging mechanism of underwater bottom topography by real and synthetic aperture radar. Journal of Geophysical Research, Vol 89: 10 529-10 546. (1984).

DOI: 10.1029/jc089ic06p10529

[2] David Y L. Extraction of surface currents of solitary internal waves from synthetic aperture radar data. Proceedings of IGARSS'99. (1999).

[3] Li X F, Clemente-Colon P and Friedman K S. Estimating oceanic mixed layer depth from internal wave evolution observed from Radarsat-1 SAR. Johns Hopkins Apl Technical Diges, Vol 2l(1): l30-135. (2000).

[4] Alpers W, He M X, Zeng K, et al. The distribution of internal waves in the East China Sea and the Yellow Sea studied by multi-sensor satellite images. IGARSS, 2005, 0-7803-9050-4/05. (2005).

DOI: 10.1109/igarss.2005.1526742

[5] Zhao Z X, Victor Klemas, Zheng Q A, et al. Estimating parameters of a two-layer stratified ocean from polarity conversion of internal solitary waves observed in satellite SAR images. Remote Sensing of Environment, 2004, Vol 92: 276-287. (2004).

DOI: 10.1016/j.rse.2004.05.014

[6] Porter, D L and D Thompson. Continental Shelf Parameters Inferred from SAR Internal Wave Observations. J. Atmos. Oceanic Technol., Vol 16: 475–487. (1999).

DOI: 10.1175/1520-0426(1999)016<0475:cspifs>2.0.co;2

[7] Gan X L, Huang W G, Yang J S, et al. A New Method to Extract Internal Wave Parameters from SAR Imagery with Hilbert-Huang Transform. J. Remote Sensing, Vol 11(1): 39-47. (2007).

[8] Fan Z S. Research Fundamentals of Ocean Interior Mixing. Beijing: China Ocean Press. (2002).

[9] Lin H, Fan K G, Shen H, et al. Review on remote sensing of oceanic internal wave by space-borne SAR. Progress in Geophys, Vol 25(3): 1081-1091. (2010).