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  • ACRS 1999


    Environment
    Estimation of Atmospheric Aerosol Depth with SPOT Satellite Data

    The final result is summarized in Table 3. Obviously, the accuracy of multi-directional method is better than the single-directional method, except on May 11 (party cloudy). The error is reduced from 33% to 9%. The result reveals improvement in accuracy derived from multi-directional method and the optimal number decision


    Table 3. The comparison between the estimated optical depths estimated by the single & multi direction structure function methods. (* : reference date).
    DateSunphotometer
    measurements
    Single-directionalMulti-directional
    Retrieved Error(%) retrieved Error(%)
    1998/04/24 0.339 0.386 14 0.348 3
    1998/05/11 0.647 0.394 39 0.374 43
    1998/06/27 0.299 0.347 16 0.311 4
    1998/07/02 0.209 0.277 33 0.228 9
    1998/07/30 0.315 0.356 13 0.345 9
    1998/08/21* 0.078 -- -- -- --


    Conclusions
    The results strongly suggest that including multi-direction and optimal number in structure function method will greatly improve the accuracy of derived aerosol optical depth. In the further study, the relationship of test area sizes and distance values are necessary to be investigate in detail. In order to verify the accuracy of optical depth estimation, the accuracy and method of deriving optical depth from sunphotometer observation is also an important task.

    Acknowledgements
    This work has been supported by grant from the National Science Council, ROC under NSC86-2612-E-008-007.

    References
    • Fraser B. C., Y. J. Kaufman, and R. L. Mahoney, 1984: Satellite measurements of aerosol mass and transport. Atm. Environment, 18(12), 2577-2584.
    • Griggs M., 1975: Measurements of atmospheric optical thickness over water using ERTS-1 data. Journal Air Pollution Control Association. 25, 622-626.
    • Holben B. N., Y. J. Kaufman, A. Setzer, D. Tenre’, and D. E. Ward, 1990: Optical properties of aerosols from biomass burning in the tropics, BASE-A. Presented at the Chapman Conference on Biomass Burning. Williamsburg, VA, Mar., 1990.
    • Holben B. N., E. Vermot, Y. J. Kaufman, D. Tanre, and V.Kalb, 1992: Aerosol retrieval over land from AVHRR data-application for atmospheric correction. IEEE Trans. on Geoscience and Remote Sensing, 30(2), pp. 212-222.
    • Kaufman Y. J., R. S. Fraser, and R. A. Ferrare, 1990: Satellite measurements of large-scale air pollution methods. J. Geophys. Res., 95(D7), 9895-9909.
    • Liu C. H, A. J. Chen, and G. R. Liu, 1996: An image-based retrieval algorithm of aerosol characteristics and surface reflectance for satellite images. INT. J. Remote Sensing, 17(17), 3477-3500.
    • Liu G. R, T. H. Lin, and A. J. Chen, 1997: An improved method to determine aerosol optical depth from SPOT data. COAA ‘97-First International Ocean-Atmosphere Conference, 18-19 Oct 1997, Washington, D. C., USA.
    • Mekler Y., H. Quenzel, G. Ohring, and I. Marcus, 1977: Relative atmospheric Aerosol content from ERTS observation. J. Geophys. Res., 82, 9867-972.
    • Rao C. R. N., E. P. McClain, and C. C. Stowe, 1989: Remote sensing of aerosols over the oceans using AVHRR data theory. Practice and Applications, INT. J. Remote Sensing, 10( 4-5), 743-749.
    • Sifakis N. I., N. A. Soulakellis, and D. K. Paronis, 1998: Quantitative mapping of air pollution density using earth observations: a new processing method and application to an urban area. INT. J. Remote Sensing, 19(17), 3289-3300.
    • Tanre D., C. Devaux , M. Herman, R. Santer, and J. Y. Gac, 1988: Radiative properties of desert aerosols by optical ground-based measurements at solar wavelengths. J. Geophys Res., 93, pp 14223-14231.
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