Atmospheric Correction For Ocean Color Remote Sensing

This paper focuses on aerosol retrieval algorithms for atmospheric correction. First a data processing system for ocean color remote sensing, which represents derivation of phytoplankton pigment concentrations near the sea surface from the satellite data, is shown. In this system removal of atmospheric light from the space-borne data, which is called atmospheric correction, is an indispensable process. It is well known that atmospheric light is mainly caused by multiply scattered light by aerosols. Therefore we describe an algorithm to set up aerosol models, referring to the Nimbus-7 CZCS data, for our atmospheric correction including multiple scattering light in tlie atmosphere-ocean model. Our algorithm is based on the idea that aerosol characteristics can be estimated in terms of the scattering behavior. Finally it is shown that relationships between the obtained ocean color image and tlie surface temperature map can be used to analyze the oceanic feature.