Detecting Massive Green Algae (Ulva prolifera) Blooms in the Yellow Sea and East China Sea using Geostationary Ocean Color Imager (GOCI) Data SCIE SCOPUS KCI

Cited 56 time in WEB OF SCIENCE Cited 63 time in Scopus
Title
Detecting Massive Green Algae (Ulva prolifera) Blooms in the Yellow Sea and East China Sea using Geostationary Ocean Color Imager (GOCI) Data
Author(s)
Son, Young Baek; Min, Jee-Eun; Ryu, Joo-Hyung
KIOST Author(s)
Son, Young Baek(손영백)Ryu, Joo Hyung(유주형)
Publication Year
2012-09
Abstract
The historically massive bloom of the green macroalgae Ulva prolifera reported in June-August 2008 around the Qingdao, Yellow Sea, East China Sea and Japan coasts has recurred in a similar season and region. On June 13, 2011, around Qingdao, China, the world's first Geostationary Ocean Color Imager (GOCI) detected an enormous bloom of floating green algae, which originated from the nearshore Subei Bank, China. The large floating green algae patches were observed along and across the Yellow Sea and in the East China Sea during 2011 summer by various oceanic cruises. To detect the massive macroalgae blooms from space, we analyzed their spectral characteristics from in situ optical measurements and satellite-derived green algae spectra. An "Index of floating Green Algae for GOCI" (IGAG) was developed from the multiple spectral band ratios using three wavelengths (555, 660, 745 nm), which the spectral response of green algae reflected at 555, 745, and 865 nm and absorbed at 660 and 680 nm. The results were compared with those obtained by the normalized difference vegetation index (NDVI), enhanced vegetation index (EVI), and Korea Ocean Satellite Center (KOSC) approaches. An advantage of the IGAG method was that muted or subtle signals of floating green algae were enhanced and separated from surrounding complex water signals. Although maps of floating green algae derived by the other approaches delineated dense green algae, they were less sensitive to subtle (less dense) features and in cases of nearby cloudy or complex water conditions. The floating green algae maps from IGAG provided a more robust estimate of wide floating green algae blooms than those derived using NDVI, EVI, or KOSC approaches. The IGAG approach should be useful for tracing and monitoring changes in green algae blooms on regional and global scales.
ISSN
1738-5261
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/3563
DOI
10.1007/s12601-012-0034-2
Bibliographic Citation
OCEAN SCIENCE JOURNAL, v.47, no.3, pp.359 - 375, 2012
Publisher
KOREA OCEAN RESEARCH DEVELOPMENT INST
Subject
REMOTE-SENSING ALGORITHMS; WATER-LEAVING RADIANCE; ORGANIC-CARBON POC; RED TIDE DETECTION; GULF-OF-MEXICO; COASTAL WATERS; CHLOROPHYLL-A; PHYTOPLANKTON; FLUORESCENCE; SEAWIFS
Keywords
East China Sea; floating green algae; GOCI; KOSC; Ulva prolifera; Yellow Sea
Type
Article
Language
English
Document Type
Article
Publisher
KOREA OCEAN RESEARCH DEVELOPMENT INST
Related Researcher
Research Interests

Coastal Remote Sensing,RS based Marine Surveillance System,GOCI Series Operation,연안 원격탐사,원격탐사기반 해양감시,천리안해양관측위성 운영

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