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- Mukai Sonoyo
- Faculty of Science and Technology, Kinki University
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- Sano Itaru
- Faculty of Science and Technology, Kinki University
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- Toigo Anthony
- California Institute of Technology
Bibliographic Information
- Other Title
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- Removal of scattered light in the Earth
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Abstract
Atmospheric correction algorithm, which means a procedure to remove scattered light in an atmosphere from the spaced-based data, are shown for ocean color data given by the satellite ADEOS. In order to achieve better atmospheric correction, this paper proposes two subjects; one is howto determine aerosol characteristics by referring to both of radiance and polarization, and the other is introduction of atmospheric correction coefficients.<BR>At first it is shown that a heterogeneous grain model according to Maxwell-Garnett mixing rule as small watersoluble (WS) inclusions in an oceanic (OC) matrix is available to interpret ADEOS/OCTS and POLDER data observed over the Arabian Sea. Our algorithm is based on an idea that aerosol characteristics can be estimated in terms of scattering behavior in the polarization field. Then atmospheric correction, which is based on radiative transfer process in an atmosphere-ocean model involving the retrieved aerosol model, is applied to ocean color data given by ADEOS/OCTS. Finally our atmospheric correction provides an expected chlorophyll map near the sea surface.<BR>It is of interest to mention that retrieval of atmospheric aerosols is improved by combination use of radiance and polarization, moreover atmospheric correction process is progressed by using the correction coefficients.
Journal
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- Earth, Planets and Space
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Earth, Planets and Space 50 (6-7), 595-601, 1998
Society of Geomagnetism and Earth, Planetary and Space Sciences, The Seismological Society of Japan, The Volcanological Society of Japan , The Geodetic Society of Japan , The Japanese Society for Planetary Sciences
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Keywords
Details 詳細情報について
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- CRID
- 1390001206508917888
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- NII Article ID
- 10002207310
- 130003780733
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- NII Book ID
- AA11211921
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- ISSN
- 18805981
- 13438832
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- NDL BIB ID
- 4552214
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- Text Lang
- en
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed