Correction of atmospheric effect on ADEOS/OCTS ocean color data: Algorithm description and evaluation of its performance
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This paper first describes the atmospheric correction algorithm for OCTS visible band data used at NASDA/EOC. Sharing a basic structure with Gordon and Wang’s Sea WiFS algorithm, it uses 10 candidate aerosol models including the “Asian dust model” introduced in consideration of the unique feature of aerosols over the east Asian waters. Based on the observations at 670 and 865 nm bands, the algorithm selects a pair of aerosol models that account best for the observed spectral reflectances, and synthesizes the aerosol reflectance used for the atmospheric correction. Two different schemes for determining the value of the parameter for the aerosol model selection are presented and their anticipated estimation error is analyzed in terms of retrieved water reflectance at 443 nm. The results of our numerical simulation show that the standard deviation of the estimation error of the “weighted average” scheme is mostly within the permissible level of ±0.002, reducing the error by 18% on average compared to the “simple average” scheme. The paper further discusses the expected error under the old CZCS-type atmospheric correction, which assumes constant aerosol optical properties throughout the given image. Although our algorithm has a better performance than the CZCS algorithm, further analysis shows that the error induced by the assumption taken in the algorithm that the water-leaving radiance at 670 nm band is negligibly small may be large in high pigment concentration waters, indicating the necessity for future improvements.
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- Correction of atmospheric effect on ADEOS/OCTS ocean color data: Algorithm description and evaluation of its performance
Journal of Oceanography
Volume 54, Issue 5 , pp 417-430
- Cover Date
- Print ISSN
- Online ISSN
- Springer Netherlands
- Additional Links
- Satellite remote sensing
- ADEOS satellite
- phytoplankton pigment
- atmospheric correction
- radiative transfer simulation
- Author Affiliations
- 1. School of High-Technology for Human Welfare, Tokai University, 317 Nishino, 410-0395, Numazu, Japan
- 2. National Institute for Environmental Studies, 16-2 Onogawa, 305-0053, Tsukuba, Ibaraki, Japan
- 3. Remote Sensing Technology Center, Roppongi, Minato-ku, 106, Tokyo, Japan
- 4. Center for Climate System Research, University of Tokyo, Komaba, Meguro-ku, 153, Tokyo, Japan
- 5. Information & Communication Systems Laboratory, Toshiba Corporation, Suehiro-cho, Oume, 198-8710, Tokyo, Japan
- 6. Space Systems Group, LTCB Systems Co., LTD., 1-1-17, Kamiohsaki, Shinagawa, 141-0021, Tokyo, Japan