SATELLITE REMOTE SENSING FOR OCEANIC PRIMARY PRODUCTIVITY

Abstract

Based on the introduction of optical properties and the classification for ocean water, the fundamental principles of satellite measuring oceanic primary productivity (OPP) were illuminated and the processes of atmospheric correction were discussed in detail in this paper; in addition, some extant oceanic primary productivity models were reviewed completely. At present, many scientists are engaged in the research on satellite remote sensing for OPP, and most OPP models are based on chlorophyll. Firstly, these models are discussed by classifying via given some specific examples. These productivity models are often delineated into empirical, semi-analytical, and analytical models; they can also be classified into wavelength-resolved models (WRMs), wavelength-integrated models (WIMs), time-integrated models (TIMs) and depth-integrated models (DIMs) based upon the implicit levels of integration. Meanwhile, some problems relevant to the application of these models have also been discussed.