Remote quantification of Cochlodinium polykrikoides blooms occurring in the East Sea using geostationary ocean color imager (GOCI)

Title
Remote quantification of Cochlodinium polykrikoides blooms occurring in the East Sea using geostationary ocean color imager (GOCI)
Author(s)
노재훈; 김원국; 손승현; 안재현; 박영제
KIOST Author(s)
Noh, Jae Hoon(노재훈)Ahn, Jae Hyun(안재현)Park, Young Je(박영제)
Publication Year
2018-05-24
Abstract
Accurate and timely quantification of widespread harmful algal bloom (HAB) distribution is crucial to respond to the natural disaster, minimize the damage, and assess the environmental impact of the event. Although various remote sensing-based quantification approaches have been proposed for HAB since the advent of the ocean color satellite sensor, there have been no algorithms that were validated with in-situ quantitative measurements for the red tide occurring in the Korean seas. Furthermore, since the geostationary ocean color imager (GOCI) became available in June 2010,an algorithm that exploits its unprecedented observation frequency (every hour during the daytime) has been highly demanded to better track the changes in spatial distribution of red tide. This study developed a novel red tide quantification algorithm for GOCI that can estimate hourly chlorophyll-a (Chl a) concentration of Cochlodinium (Margalefidinium) polykrikoides,one of the major red tide species around Korean seas. The developed algorithm has been validated using in-situ Chl a measurements collected from a cruise campaign conducted in August 2013,when a massive C. polykrikoides bloom devastated Korean coasts. The proposed algorithm produced a high correlation (R2 = 0.92) with in-situ Chl a measurements with robust performance also for high Chl a concentration (300 mg/m3) in East Sea areas that typically have a relatively low total suspendedsed quantification approaches have been proposed for HAB since the advent of the ocean color satellite sensor, there have been no algorithms that were validated with in-situ quantitative measurements for the red tide occurring in the Korean seas. Furthermore, since the geostationary ocean color imager (GOCI) became available in June 2010,an algorithm that exploits its unprecedented observation frequency (every hour during the daytime) has been highly demanded to better track the changes in spatial distribution of red tide. This study developed a novel red tide quantification algorithm for GOCI that can estimate hourly chlorophyll-a (Chl a) concentration of Cochlodinium (Margalefidinium) polykrikoides,one of the major red tide species around Korean seas. The developed algorithm has been validated using in-situ Chl a measurements collected from a cruise campaign conducted in August 2013,when a massive C. polykrikoides bloom devastated Korean coasts. The proposed algorithm produced a high correlation (R2 = 0.92) with in-situ Chl a measurements with robust performance also for high Chl a concentration (300 mg/m3) in East Sea areas that typically have a relatively low total suspended
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/23282
Bibliographic Citation
2018년 한국해양학회 춘계학술발표대회, pp.1, 2018
Publisher
한국해양학회
Type
Conference
Language
English
Publisher
한국해양학회
Related Researcher
Research Interests

Phytoplankton ecology,Primary productivity modelling,Coral reef ecosystem study,식물플랑크톤 생태학,일차생산력 모델,산호초 생태계 연구

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