북서태평양에서의 식물성 플랑크톤 생물 계절학

Title
북서태평양에서의 식물성 플랑크톤 생물 계절학
Alternative Title
Phytoplankton phenology in the Northwestern Pacific Ocean
Author(s)
김광석; 박영제; 최종국; 문일주; Racault Marie-Fanny
KIOST Author(s)
Park, Young Je(박영제)Choi, Jong Kuk(최종국)
Publication Year
2014-04-17
Abstract
Annual and interannual variability in phytoplankton bloom has important influence for marine ecosystem such as ocean carbon cycle result from photosynthesis, food web and so on. Many study investigated global phytoplankton phenology using ocean remote sensing satellite which allow large spatial coverage and high temporal resolution observation. However missing data may affect the accuracy of analysis of phenology such as initiation, termination, duration and peak timing of phytoplankton bloom. To reduce the missing data, we used the Geostationary Ocean Color Imager (GOCI) data. GOCI, the first geostationary ocean color observation satellite, observes the Northeastern Pacific Ocean 8 times a day from 00 UTC to 07 UTC. Since GOCI supply high spatial and temporal resolution image, to investigate the phytoplankton phenology can be detailed with much more accuracy in GOCI coverage. In this study, phonological properties were analyzed using GOCI chlorophyll-a dataset over the study area. First of all the spatially and temporally interpolation were conducted to reduce the missing data. And annual median plus 5% chlorophyll concentration threshold applied to define the bloom. After then we compared annual difference of phenology phenomena and compared with SeaWiFS era.cean remote sensing satellite which allow large spatial coverage and high temporal resolution observation. However missing data may affect the accuracy of analysis of phenology such as initiation, termination, duration and peak timing of phytoplankton bloom. To reduce the missing data, we used the Geostationary Ocean Color Imager (GOCI) data. GOCI, the first geostationary ocean color observation satellite, observes the Northeastern Pacific Ocean 8 times a day from 00 UTC to 07 UTC. Since GOCI supply high spatial and temporal resolution image, to investigate the phytoplankton phenology can be detailed with much more accuracy in GOCI coverage. In this study, phonological properties were analyzed using GOCI chlorophyll-a dataset over the study area. First of all the spatially and temporally interpolation were conducted to reduce the missing data. And annual median plus 5% chlorophyll concentration threshold applied to define the bloom. After then we compared annual difference of phenology phenomena and compared with SeaWiFS era.
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/26373
Bibliographic Citation
International Symposium on Remote Sensing, 2014
Publisher
Korean
Type
Conference
Language
English
Publisher
Korean
Related Researcher
Research Interests

GOCI-based PAR,Satellite-based Water Quality,Ocean color based Ecological Environment,GOCI 기반 PAR,위성활용 해수표층 수질,해색위성 기반 해수 생태환경

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