Algorithms for atmospheric correction for ocean color data
Sonoyo Mukai, K. Masuda
Abstract
Sonoyo Mukai, K. Masuda
Abstract
Atmospheric correction algorithms for ocean color data given by ADEOS/OCTS are shown. The authors' atmospheric correction is based on the radiative transfer process in an atmosphere-ocean model. In order to achieve better atmospheric correction, this paper proposes two subjects; one is how to determine aerosol characteristics by referring to polarization measurements, the other is new definition of atmospheric correction coefficients. It is found that an oceanic aerosol model with the log-normal size distribution of (r~=0.24 /spl mu/m, /spl sigma/=2.0 /spl mu/m) is a good candidate to describe the polarization data measured on July 29th in 1996 over the ocean in Seto Inland Sea in Japan. The authors also found that our atmospheric correction provides an improved chlorophyll map near the sea surface on September 3rd in 1996.
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Atmospheric correction algorithms for ocean color data given by ADEOS/OCTS are shown. The authors' atmospheric correction is based on the radiative transfer process in an atmosphere-ocean model. In order to achieve better atmospheric correction, this paper proposes two subjects; one is how to determine aerosol characteristics by referring to polarization measurements, the other is new definition of atmospheric correction coefficients. It is found that an oceanic aerosol model with the log-normal size distribution of (r~=0.24 /spl mu/m, /spl sigma/=2.0 /spl mu/m) is a good candidate to describe the polarization data measured on July 29th in 1996 over the ocean in Seto Inland Sea in Japan. The authors also found that our atmospheric correction provides an improved chlorophyll map near the sea surface on September 3rd in 1996.
Key concepts: Atmospheric correction, Atmospheric model, Radiative transfer, Aerosol, Environmental science, Polarization (electrochemistry), Remote sensing, Atmosphere (unit)