Proceedings of the KSRS Conference (대한원격탐사학회:학술대회논문집)
- 2007.10a
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- Pages.162-165
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- 2007
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- 1226-9743(pISSN)
DEVELOPMENT OF CHLOROPHYLL ALGORITHM FOR GEOSTATIONARY OCEAN COLOR IMAGER (GOCI)
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Min, Jee-Eun
(Satellite Ocean Research Lab., Korea Ocean Research & Development Institute) ;
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Moon, Jeong-Eon
(Satellite Ocean Research Lab., Korea Ocean Research & Development Institute) ;
- Shanmugam, Palanisamy (Satellite Ocean Research Lab., Korea Ocean Research & Development Institute) ;
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Ryu, Joo-Hyung
(Satellite Ocean Research Lab., Korea Ocean Research & Development Institute) ;
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Ahn, Yu-Hwan
(Satellite Ocean Research Lab., Korea Ocean Research & Development Institute)
- Published : 2007.10.31
Abstract
Chlorophyll concentration is an important factor for physical oceanography as well as biological oceanography. For these necessity many oceanographic researchers have been investigated it for a long time. But investigation using vessel is very inefficient, on the other hands, ocean color remote sensing is a powerful means to get fine-scale (spatial and temporal scale) measurements of chlorophyll concentration. Geostationary Ocean Color Imager (GOCI), for ocean color sensor, loaded on COMS (Communication, Ocean and Meteorological Satellite), will be launched on late 2008 in Korea. According to the necessity of algorithm for GOCI, we developed chlorophyll algorithm for GOCI in this study. There are two types of chlorophyll algorithms. One is an empirical algorithm using band ratio, and the other one is a fluorescence-based algorithms. To develop GOCI chlorophyll algorithm empirically we used bands centered at 412 nm, 443 nm and 555 nm for the DOM absorption, chlorophyll maximum absorption and for absorption of suspended solid material respectively. For the fluorescence-based algorithm we analyzed in-situ remote sensing reflectance
Keywords
- Chlorophyll Concentration Algorithm;
- Ratio algorithm;
- Fluorescence-based algorithm;
- Geostationary Ocean Color Imager (GOCI)