GOCI 해수환경분석 알고리즘 개발에 관한 연구

Title
GOCI 해수환경분석 알고리즘 개발에 관한 연구
Alternative Title
Development of Ocean Environmental Algorithms for GOCI
Author(s)
문정언; 안유환; 유주형; Palanasamy Shanmugam
KIOST Author(s)
Moon, Jeong Eon(문정언)Ryu, Joo Hyung(유주형)
Publication Year
2010-10-12
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).
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/28731
Bibliographic Citation
SPIE-APRS 2010, pp.45, 2010
Publisher
SPIE
Type
Conference
Language
English
Publisher
SPIE
Related Researcher
Research Interests

Coastal Remote Sensing,RS based Marine Surveillance System,GOCI Series Operation,연안 원격탐사,원격탐사기반 해양감시,천리안해양관측위성 운영

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