Journal of Oceanography

, Volume 63, Issue 3, pp 525–532 | Cite as

Atmospheric correction scheme for GLI with absorptive aerosol correction

  • Mitsuhiro Toratani
  • Hajime Fukushima
  • Hiroshi Murakami
  • Akihiko Tanaka


The present study proposes an atmospheric correction scheme for Advanced Earth Observation Satellite II (ADEOS-II)/Global Imager (GLI) ocean color retrieval that corrects for the atmospheric absorptive aerosol effect. Radiative transfer simulations were conducted assuming a non-absorptive model aerosol with a soot-type aerosol at various mixture ratios. The results indicate that while the spectral dependency of aerosol reflectance does not change in the longer (>550 nm) wavelength region, the reflectance at shorter wavelengths is highly variable and depends on the mixture ratio. The influence of aerosol absorption was also investigated using GLI data from ocean areas adjacent to Japan in the presence of absorptive Siberian fire smoke aerosol in the spring of 2003. The spectral curvature of the aerosol was estimated from the data obtained. An empirical, iterative scheme that detects and evaluates the influence of absorptive aerosols was developed by comparing 380 nm GLI-observed aerosol reflectance with predicted reflectances derived using an in-water optical model. To evaluate the performance of this scheme, satellite-derived normalized water-leaving radiances were compared with those measured from a ferry servicing Nagasaki and Fukue. The results of data acquired on March 20, 2003, indicate that this absorption correction scheme improved root mean square estimation error for normalized water-leaving radiance by approximately 40% in the 380, 400, and 412 nm bands. This atmospheric correction algorithm was used as a part of the second version of the GLI standard ocean color data process system at Japan Aerospace Exploration Agency (JAXA).


Ocean color remote sensing water-leaving radiance chlorophyll absorptive aerosol 


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  1. Antoine, D. and A. Morel (1999): A multiple scattering algorithm for atmospheric correction of remotely sensed ocean color (MERIS instrument): principle and implementation for atmospheres carrying various aerosols including absorbing ones. Int. J. Remote Sens., 20, 1875–1916.CrossRefGoogle Scholar
  2. Damoah, R., N. Spichtinger, C. Forster, P. James, I. Mattis, U. Wandinger, S. Beirle, T. Wagner and A. Stohl (2004): Around the world in 17 days—hemispheric-scale transport of forest fire smoke from Russia in May 2003. Atmospheric Chemistry and Physics, 4, 1311–1321.CrossRefGoogle Scholar
  3. Fukushima, H., A. Higurashi, Y. Mitomi, T. Nakajima, T. Noguchi, T. Tanaka and M. Toratani (1998): Correction of atmospheric effect on ADEOS/OCTS ocean color data: Algorithm description and evaluation of its performance. J. Oceanogr., 54, 417–430.Google Scholar
  4. Gordon, H. R. (1997): Atmospheric correction of ocean color imagery in the Earth observing system era. J. Geophys. Res., 102D, 17081–17106.Google Scholar
  5. Gordon, H. R. and M. Wang (1994): Retrieval of water-leaving radiance and aerosol optical thickness over the oceans with SeaWiFS: a preliminary algorithm. Applied Optics, 33, 443–452.CrossRefGoogle Scholar
  6. Han, L. (1997): Spectral reflectance with varying suspended sediment concentrations in clear and algae-laden waters. Photogram. Engineering & Remote Sensing, 63, 701–705.Google Scholar
  7. Li, L.-P., H. Fukushima, R. Frouin, B. G. Mitchell, M.-X. He, I. Uno, T. Takamura and S. Ohta (2003): Influence of submicron absorptive aerosol on SeaWiFS-derived marine reflectance during ACE-Asia. J. Geophys. Res., 108(D15), AAC 13-1-AAC 13-6.Google Scholar
  8. Moulin, C., H. R. Gordon, V. F. Banzon and R. H. Evans (2001): Assessment of Saharan dust absorption in the visible from SeaWiFS imagery. Geophys. Res. Lett., 106D(18), 239–249.Google Scholar
  9. Murakami, H., K. Sasaoka, K. Hosoda, H. Fukushima, M. Toratani, R. Frouin, B. G. Mitchell, M. Kahru, P-Y. Deschamps, D. Clark, S. Flora, M. Kishino, S. Saitoh, I. Asanuma, A. Tanaka, H. Sasaki, K. Yokouchi, Y. Kiyomoto, H. Saito, C. Dupouy, A. Siripong, S. Matsumura and J. Ishizaka (2006): Validation of ADEOS-II GLI ocean color products using in-situ observations. J. Oceanogr., 62, 373–393.CrossRefGoogle Scholar
  10. Nakajima, T. and M. Tanaka (1986): Matrix formulations for the transfer of solar radiation in a plane-parallel scattering atmosphere. J. Quant. Spectrosc. Radiat. Transfer, 35, 13–21.CrossRefGoogle Scholar
  11. Nakajima, T. and M. Tanaka (1988): Algorithms for radiative intensity calculations in moderately thick atmospheres using a truncation approximation. J. Quant. Spectrosc. Radiat. Transfer, 40, 51–69.CrossRefGoogle Scholar
  12. Shettle, E. P. and R. W. Fenn (1979): Models for the aerosols of the lower atmosphere and the effects of humidity variations on their optical properties. AFGL-TR-79-0214. U.S. Air Force Geophysics Laboratory, 675, 94 pp.Google Scholar
  13. Siegel, D. A., M. Wang, S. Maritorena and W. Robinson (2000): Atmospheric correction of satellite ocean color imagery: the black pixel assumption. Applied Optics, 30, 21, 3582–3591.CrossRefGoogle Scholar
  14. Tanaka, A., M. Kishino, R. Doerffer, H. Schiller, T. Oishi and T. Kubota (2004): Development of a neural network algorithm for retrieving concentrations of chlorophyll, suspended matter and yellow substance from radiance data of the Ocean Color and Temperature Scanner. J. Oceanogr., 60, 519–530.CrossRefGoogle Scholar
  15. Wang, M., K. Knobelspiesse and C. McClain (2005): Study of the Sea-Viewing Wide Field-of-View Sensor (SeaWiFS) aerosol optical property data over ocean in combination with the ocean color products. J. Geophys. Res., 110, D10S06, doi:10.1029/2004JD004950.Google Scholar

Copyright information

© The Oceanographic Society of Japan/TERRAPUB/Springer 2007

Authors and Affiliations

  • Mitsuhiro Toratani
    • 1
  • Hajime Fukushima
    • 1
  • Hiroshi Murakami
    • 2
  • Akihiko Tanaka
    • 3
  1. 1.School of High Technology for Human WelfareTokai UniversityNishino, Numazu, ShizuokaJapan
  2. 2.Earth Observation Research and Application CenterJapan Aerospace Exploration Agency (JAXA)Sengen, Tsukuba, IbarakiJapan
  3. 3.Nagasaki Industrial Promotion FoundationBunkyo, Nagasaki, NagasakiJapan

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