GOCI 해수환경분석 알고리즘 개발에 관한 연구

Abstract

Several ocean color algorithms have been developed for GOCI (Geostationary Ocean Color Imager) using in-situ bio-optical data sets. These data sets collected around the Korean Peninsula during 1998 to 2009 include chlorophyll-a concentration (Chl-a), suspended sediment concentration (SS), absorption coefficient of dissolved organic matter (adom) and remote sensing reflectance (Rrs) obtained from 1348 points. The GOCI Chl-a algorithm was developed using 4-bands remote sensing reflectance ratio that account for the influence of suspended solid particle and dissolved organic matter. The GOCI Chl-a algorithm reproduced in-situ chlorophyll concentration better than the other algorithms. In the SeaWiFS images, this algorithm reduced an average error of 46 % from chlorophyll concentration retrieved by standard chlorophyll algorithms. For the GOCI SS algorithm, single band was used (Ahn et al., 2001) instead of a band ratio which is commonly used in chlorophyll algorithms. The GOCI adom algorithm was derived from the relationship between remote sensing reflectance band ratio (Rrs(412)/Rrs(555)) and adom(λ). The GOCI Chl-a fluorescence has been developed by Ahn and Shanmugam(2007).