해양환경변수 추출을 위한 GOCI 생광학 알고리즘 개발

Abstract

The Geostationary Ocean Color Imager (GOCI) will be loaded in Communication, Ocean and Meteorological Satellite (COMS). To efficiently apply the GOCI data in the variety of fields, it is essential to develop the standard algorithm for estimating the concentration of ocean environmental compo-nents (<chl>, <SS>, and <CDOM>). For developing the em-pirical algorithm, about 300 water samples and in situ meas-urements were collected from sea water around the Korean peninsula from 1998 to 2006. Two kinds of chlorophyll algo-rithms are developed by using statistical regression and fluo-rescence technique considering the bio-optical properties in Case-II waters. The single band algorithm for <SS> is derived by relationship between Rrs (555) and in situ concentration. The CDOM is estimated by absorption coefficient and ratio of Rrs(412)/Rrs(555). These standard algorithms will be pro-grammed as a module of GOCI Data Processing System (GDPS) until 2008.