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