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  • ACRS 2000


    Oceanography
    Derivation of Aerosol Optical Thickness over the East Asian Oceans with ROCSAT-1 OCI Imagery

    4. Conclusion
    From the comparison of SeaWiFS data, the results of this study have high correlation with those of SeaDAS. The AOT also agrees with the AERONET in situ data. We will find more data pairs of OCI and AERONET measurements to validate our algorithm in the future. However, the algorithm developed in this study is capable to retrieve the AOT. According to our result, the seasonal fluctuation of AOT can be revealed clearly with OCI data. The serious aerosol will occur in spring and fall. It shows that the Mainland's dust storm may affect the atmosphere constituent around Taiwan area. Because of its 35° inclination and on-board memory space limitation, ROCSAT-1 OCI can not take image in same area during short period. Hence, we will try to map the aerosol distribution and monthly aerosol variation with multi-temporal OCI images in next study.

    Acknowledgements
    The SeaWiFS data, used in this study, were provided by the Goddard DAAC, NASA, USA. The OCI data were provided by the OCI Data Distribution Center, NSPO, Taiwan. This study was supported by the NSPO, NSC, with the grant of NSC89-NSPO-A-OCI-019-01-02.

    References
    1. Ignatov, A. M., L.L. Stowe, S. M. Sakerin, and G.K. Korotaev, 1995: Validation of the NOAA/NESDIS satellite aerosol product over the North Atlantic in 1989. J. Geophy. Res. Vol. 100, No. D3, pp.5123-5132.
    2. King, M.D., Y.J. Kaufman, D. Tanre, and T. Nakajima,1999: Remote sensing of tropospheric aerosols from space: Past, present, and future, Bull. Am. Meterolo. Soc., 80, pp.2220-2259.
    3. Li, H.W., C.R. Ho, N.J. Kuo, S.J. Huang, and W. P. Tsai, 1998: ROCSAT-1/OCI-A low-latitude covering spaceborne ocean color sensor. 5th Inter. Conf. On Remote Sensing for Marine Coastal Environments, San Diego, California, 5-7 Oct. 1998, pp.245-251.
    4. Liou, K. N., 1980. An introduction to atmospheric radiation, Academic Press, New York, pp.234-292.
    5. Liu, G.R., S.J. Huang, T.H. Kuo, W. J. Chen and C. Y. Tseng, 1999. The atmospheric effect correction of the Ocean Color Imager of ROCSAT-1-simulations and using SeaWiFS data as the example, TAO, Supplementary Issue, 99-114.
    6. Rao, C.R.N., L.L. Stowe, and E.P. McClain, 1989: Remote sensing of aerosols over the oceans using AVHRR data Theory, practice and applications. Int. J. Remote Sensing, Vol. 10, No. 4, pp.743-749.
    7. Wang, M.H., S. Bailey, and C. R. McClain, 2000. SeaWiFS provides unique global aerosol optical property data. EOS, Trans. AGU, Vol. 81, pp.197-202.
    Table 1. The observation time of OCI images covering Taiwan area.

    Date UTC Date UTC
    1999/3/26 0205z 2000/2/19 0215z
    1999/5/17 0211z 2000/3/22 0411z
    1999/6/8 2321z 2000/3/29 0115z
    1999/7/13 0710z 2000/5/5 0754z
    1999/8/19 0713z 2000/5/8 0707z
    1999/9/2 0122z 2000/6/4 0139z
    1999/10/10 0717z 2000/6/26 0831z




    Figure 1. The Comparison of aerosol optical thickness derived from SeaWiFS data by the OCITRAN and the SeaDAS models.


    aeronet oberved AOT

    Figure 2. The comparison of aerosol optical thickness at 865nm band derived from OCI data and Aeronet data observed on Southern Korea (Corrcoef=0.995, std=0.0069).



    date

    Figure 3. The variation of averaged aerosol optical thickness retrieved from OCI 865nm band around Penghu (23N, 119E).


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