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Method for ocean surface wind field retrieval from a common reflector dual-frequency SAR

  • role： First author第一作者
  • Affiliation：

    College of Meteorology and Oceanography, National University of Defense Technology, Nanjing 211101, China

  • Email：awhzjax@126.com
  • Introduction：艾未华，1979年生，男，副教授，研究方向为现代气象海洋雷达技术。E-mail：awhzjax@126.com
Weihua AI1,  
  • role： Corresponding author通信作者
  • Affiliation：

    College of Meteorology and Oceanography, National University of Defense Technology, Nanjing 211101, China

  • Email：guanyumail@126.com
  • Introduction：陈冠宇，1994年生，男，硕士研究生，研究方向为微波海洋遥感。E-mail：guanyumail@126.com
Guanyu CHEN1*,  
  • Affiliation：

    College of Meteorology and Oceanography, National University of Defense Technology, Nanjing 211101, China

Shurui GE1,  
  • Affiliation：

    Navy Hydrometeorological Center, Beijing 100071, China

Lingfeng YUAN2,  
  • Affiliation：

    College of Meteorology and Oceanography, National University of Defense Technology, Nanjing 211101, China

Xianbin ZHAO1

résumé

In accordance with the ability to obtain further target characteristic information when detecting the same surface area with L/C common reflector dual-frequency SAR dual-band electromagnetic wave, a new ocean wind field retrieval method is proposed. Wind speed and direction are estimated simultaneously using a geophysical model function and a normalized radar cross sections of the L/C dual-band in accordance with a common reflector dual-frequency SAR geophysical model function, and the fuzzy direction of 180° is wiped off using auxiliary data. Verification results show that the wind field retrieval method can be used to retrieve a high-precision wind speed and direction without other background sources in accordance with the simulation and airborne synchronous flight test on a sea. The major error can be explained by the insufficient accuracy in calibrating the NRCS for wind speed and direction retrieval. The wind speed error increases with the value of speed, and the root mean square error of wind speed and direction between retrieval and survey ship observed are 0.93m/s and 19.39°, respectively. The method for ocean surface wind field retrieval from the common reflector dual-frequency SAR solves the inherent problems of a sea surface wind field inversion of the traditional single-band SAR and increases the retrieval accuracy of the sea surface wind speed and direction, thereby providing support for business application and load developing of an ocean wind field retrieval from space-borne SAR images.

mots-clés

synthetic aperture radar;common reflector dual frequency;ocean wind field retrieve;CMOD;radiometric calibration

References

  1. 1.
    Ai W H, Kong Y and Zhao X B. 2012. Ocean surface wind direction retrieval from multi-polarization airborne SAR based on wavelet. Acta Physica Sinica, 61(14): 148403 (
  2. 2.
    Ai W H, Yan W, Zhao X B, Liu W J and Ma S. 2013. A new ocean surface wind field retrieval method from C-band airborne synthetic aperture radar. Acta Physica Sinica, 62(6): 068401 (
  3. 3.
    Apel J R. 1994. An improved model of the ocean surface wave vector spectrum and its effects on radar backscatter. Journal of Geophysical Research Oceans, 99(C8): 16269–16291
  4. 4.
    Cameron I, Lumsdon P, Walker N and Woodhouse I. 2006. Advances in SAR oceanography from envisat and ERS missions//Proceedings of SEASAR 2006. Frascati, Italy: ESA Publication Division
  5. 5.
    De Biasio F and Zecchetto S. 2012. Towards the wind direction determination in RADARSAT-2 polarimetrie images. European Journal of Remote Sensing, 45(1): 141–151
  6. 6.
    Horstmann J, Koch W, Lehner S and Tonboe R. 2000. Wind retrieval over the ocean using synthetic aperture radar with C-band HH polarization. IEEE Transactions on Geoscience and Remote Sensing, 38(5): 2122–2131
  7. 7.
    Hwang P A, Zhang B, Toporkov J V and Perrie W. 2010. Comparison of composite Bragg theory and quad-polarization radar backscatter from RADARSAT-2: with applications to wave breaking and high wind retrieval. Journal of Geophysical Research Atmospheres, 115(C8): C08019
  8. 8.
    Jiang Z H, Huang S X, He R and Zhou C T. 2011a. Regularization method to retrieve synthetic aperture radar sea surface wind. Acta Physica Sinica, 60(6): 068401 (
  9. 9.
    Jiang Z H, Huang S X, Shi H Q, Zhang W and Wang B. 2011b. A new research on sea surface wind direction retrieval of synthetic aperture radar image. Acta Physica Sinica, 60(10): 108402 (
  10. 10.
    Jordan R L, Huneycutt B L and Werner M. 1995. The SIR-C/X-SAR synthetic aperture radar system. IEEE Transactions on Geoscience and Remote Sensing, 33(4): 829–839
  11. 11.
    Kawamura H, Shimada T, Shimada M, Kortcheva A and Watabe I. 2002. L-band SAR wind-retrieval model function and its application for studies of coastal surface winds and wind waves//IEEE International Geoscience and Remote Sensing Symposium. Toronto, Ontario, Canada: IEEE, 3: 1884–1886 [DOI: 10.1109/IGARSS.2002.1026288]
  12. 12.
    Koch W. 2004. Directional analysis of SAR images aiming at wind direction. IEEE Transactions on Geoscience and Remote Sensing, 42(4): 702–710
  13. 13.
    Kong Y, Zhao X B, Ai W H, Han D and Xue J. 2011. Ocean surface wind field retrieval from airborne SAR imagery based on Mexican-hat wavelet transform. Journal of PLA University of Science and Technology (Natural Science Edition), 12(3): 301–306 (
  14. 14.
    Lehner S, Pleskachevsky A and Bruck M. 2012. High-resolution satellite measurements of coastal wind field and sea state. International Journal of Remote Sensing, 33(23): 7337–7360
  15. 15.
    Leite G C, Ushizima D M, Medeiros F N S and De Lima G G. 2010. Wavelet analysis for wind fields estimation. Sensors, 10(6): 5994–6016
  16. 16.
    Levy G. 1998. Imaging boundary layer roll signatures for climate applications//Proceedings of Sensing and Managing the Environment. 1998 IEEE International Geoscience and Remote Sensing. Seattle, WA, USA: IEEE, 3: 1437–1438 [DOI: 10.1109/IGARSS.1998.691483]
  17. 17.
    Martin S. 2004. An Introduction to Ocean Remote Sensing. Cambridge: Cambridge University Press: 201–207
  18. 18.
    Monaldo F. 2000. The Alaska SAR demonstration and near-real-time synthetic aperture radar winds. Johns Hopkins APL Technical Digest, 21(1): 75–79
  19. 19.
    Mouche A A, Collard F, Chapron B, Dagestad K F, Guitton G and Johannessen J A. 2012. On the use of Doppler shift for sea surface wind retrieval from SAR. IEEE Transactions on Geoscience and Remote Sensing, 50(7): 2901–2909
  20. 20.
    Portabella M, Stoffelen A and Johannessen J A. 2002. Toward an optimal inversion method for synthetic aperture radar wind retrieval. Journal of Geophysical Research Oceans, 107(C8): 3086
  21. 21.
    Shimada T, Kawamura H and Shimada M. 2003. An L-band geophysical model function for SAR wind retrieval using JERS-1 SAR. IEEE Transactions on Geoscience and Remote Sensing, 41(3): 518–531
  22. 22.
    Thompson D and Beal R C. 2000. Mapping of mesoscale and submesoscale wind fields using synthetic aperture radar. John Hopkins APL Technical Digest, 21: 58–67
  23. 23.
    Vachon P W and Dobson F W. 1996. Validation of wind vector retrieval from ERS-1 SAR images over the ocean. The Global Atmosphere and Ocean System, 5(2): 177–187
  24. 24.
    Vachon P W and Wolfe J. 2011. C-band cross-polarization wind speed retrieval. IEEE Geoscience and Remote Sensing Letters, 8(3): 456–459
  25. 25.
    Xia Z G. 1996. Applications of multi-frequency, multi-polarization and multi-incident angle SAR systems in urban land use and land cover mapping//1996 International Geoscience and Remote Sensing Symposium. Lincoln, NE, USA: IEEE, 4: 2310–2314 [DOI: 10.1109/IGARSS.1996.516971]
  26. 26.
    Yang J S. 2005. SAR Remote Sensing Techniques of Sea Surface Wind, Surface Wave and Internal Wave. Beijing: Ocean Press: 31–32
  27. 27.
    Yang J S, Huang W G, Zhou C B, Fu B, Shi A Q and Li D L. 2001. Coastal ocean surface wind retrieval from SAR imagery. Journal of Remote Sensing, 5(1): 13–16 (
  28. 28.
    Zhang B and Perrie W. 2011. Cross-polarized synthetic aperture radar: a new potential measurement technique for hurricanes. Bulletin of the American Meteorological Society, 93(4): 531–541
  29. 29.
    Zhang B, Perrie W, Vachon P W, Li X F, Pichel W G, Guo J and He Y J. 2012. Ocean vector winds retrieval from C-band fully polarimetric SAR measurements. IEEE Transactions on Geoscience and Remote Sensing, 50(11): 4252–4261
  30. 30.
    Zhang R W, Yan W, Ai W H and Ma S. 2011. A method of ocean surface wind direction retrievals for airborne SAR images based on Gabor wavelet transform. Journal of Microwaves, 27(5): 79–83 (
  31. 31.
    Zhao X B, Yan W, Kong Y, Han D and Liu W J. 2013. Theoretical research and experimental verification for ocean surface wind vector retrieval from airborne C-band fully polarimetric SAR. Acta Physica Sinica, 62(13): 138402 (

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