Floating macroalgae distribution in the East China Sea and the Yellow Sea observed by the Geostationary Ocean Color Imager

Title
Floating macroalgae distribution in the East China Sea and the Yellow Sea observed by the Geostationary Ocean Color Imager
Author(s)
박영제; 김광석; 안재현
KIOST Author(s)
Park, Young Je(박영제)Ahn, Jae Hyun(안재현)
Publication Year
2018-11-06
Abstract
Geostationary Ocean Color Imager(GOCI) provides eight times a day multispectral (visible to
near infrared) images over the north East Asian seas including the East China Sea(ECS) and
Yellow Sea(YS) since July, 2010. Owing to high sensitivity radiometry along with wide
observation area, the 500m resolution imagery acquired by GOCI is extremely useful for detecting
large-scale distribution of floating algal patches such as Sargassum and Ulva.
An algorithm for computing subpixel fractional area covered by algal patches has been developed
and implemented for routine monitoring of floating brown algae, S. honeri and green algae, U.
prolifera in the ECS and YS. The GOCI derived information enables us better understand the
timing and geographical distribution of the floating algae blooms. As example, the 2015 GOCI
images show that S. honeri patches appear in ECS as early as in January, much earlier than
previous field surveys indicated. The brown algae patches spread over the western inner
continental shelf as well as the eastern outer continental shelf, occupied much broader area of
ECS than previously reported. Intensity of floating S. honeri blooms peaked in late April in ECS
and moved to Korea-Tsushima Strait, Jeju Strait and the YS in May to June and almost
disappeared in July.
68
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/22899
Bibliographic Citation
PORSEC 2018, pp.68, 2018
Publisher
PORSEC / KIOST
Type
Conference
Language
English
Publisher
PORSEC / KIOST
Related Researcher
Research Interests

Ocean Color Remote Sensing,Satellite Applications,Ocean color Algorithm,해양원격탐사,위성활용,해색 알고리즘

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