다목적실용위성2호의 MSC sensor를 위한 부유물질 농도 추정 알고리즘의 개발

Abstract

The Korean Multipurpose Satellite-II (Kompsat-II) carrying Multi-Spectral Camera (MSC) is presently scheduled for launch in late 2005. MSC having very high spatial resolution (1m-panchrometic mode and 4m-mulitspectral mode) is more efficient for monitoring detail changes of coastal oceanic environment than other ocean color sensors. This study aims to attempt development of SS algorithm for mapping and monitoring highly dynamic coastal oceans around the Korean peninsula. The SS algorithm for CASE-2 water established through the relationship between modeled Rrs values and SS concentrations is compared with that derived from in-situ measurements. The potential use of these algorithms is evaluated using LANDSAT TM/ETM+ images collected over highly turbid Seamangeum coastal waters. The purpose of application for these algorithms using TM/ETM+ and imagery is that MSC band characteristics are very similar to these sensors. In order to validate the developed algorithms, several field campaigns were carried out around the Seamangeum coastal area and SS concentrations from some localities were analyzed. The estimated SS concentrations from satellite images using model-derived algorithm appears to be consistent with in-situ SS concentrations, suggesting that model-derived algorithm performing better than the empirically derived algorithm can be used for coastal environmental monitoring around the west-sea of Korean peninsula.