COMS 위성의 Geostationary Ocean Color Imager (GOCI)를 위한 대기 보정 기술

Title
COMS 위성의 Geostationary Ocean Color Imager (GOCI)를 위한 대기 보정 기술
Alternative Title
Atmospheric correction technique for Geostationary Ocean Color Imager (GOCI) on COMS
Author(s)
Shanmugam; 안유환
Publication Year
2006-11-02
Abstract
Geostationary Ocean Color Imager (GOCI) onboard its Communication Ocean and Meteorological Satellite (COMS) is scheduled for launch in 2008. GOCI includes the eight visible-to-near-infrared (NIR) bands, 0.5km pixel resolution, and a coverage region of 2500  2500km centered at 36N and 130E. GOCI has had the scope of its objectives broadened to understand the role of the oceans and ocean productivity in the climate system, biogeochemical variables, geological and biological response to physical dynamics and to detect and monitor toxic algal blooms of notable extension through observations of ocean color. To achieve these mission objectives, it is necessary to develop an atmospheric correction technique which is capable of delivering geophysical products, particularly for highly turbid coastal regions that are often dominated by strongly absorbing aerosols from the adjacent continental/desert areas. In this paper, we present a more realistic and cost-effective atmospheric correction method which takes into account the contribution of NIR radiances and include specialized models for strongly absorbing aerosols. This method was tested extensively on SeaWiFS ocean color imagery acquired over the Northwest Pacific waters. While the standard SeaWiFS atmospheric correction algorithm showed a pronounced overcorrection in the violet/blue or a complete failure in the presence of strongly absorbing aerosols (Asian dust or Yellow dust) over these regions, the new method was able to retrieve the water-leaving radiance and chlorophyll concentrations that were consistent with the in-situ observations. Such comparison demonstrated the efficiency of the new method in terms of removing the effects of highly absorbing aerosols and improving the accuracy of water-leaving radiance and chlorophyll retrievals with SeaWiFS imagery.
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/30810
Bibliographic Citation
ISRS2006PORSEC, pp.467 - 470, 2006
Publisher
The Korean Society of Remote Sensing
Type
Conference
Language
English
Publisher
The Korean Society of Remote Sensing
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