Quantification ofMargalefidinium polykrikoidesBlooms along the South Coast of Korea Using Airborne Hyperspectral Imagery SCIE SCOPUS

Cited 5 time in WEB OF SCIENCE Cited 6 time in Scopus
Title
Quantification ofMargalefidinium polykrikoidesBlooms along the South Coast of Korea Using Airborne Hyperspectral Imagery
Author(s)
Shin, Jisun; Kim, Soo Mee; Kim, Keunyong; Ryu, Joo Hyung
KIOST Author(s)
Kim, Soo Mee(김수미)Kim, Keunyong(김근용)Ryu, Joo Hyung(유주형)
Alternative Author(s)
신지선; 김수미; 김근용; 유주형
Publication Year
2020-08
Abstract
The red tide bloom-forming dinoflagellateMargalefidinium polykrikoidesis well known for its harmful effects on marine organisms, and for killing fish in aquaculture cages via gill clogging at a high cell abundance. To minimize the damage caused by red tide blooms, it is essential to understand their detailed spatial distribution with high accuracy. Airborne hyperspectral imagery (HSI) is useful for quantifying red tide cell abundance because it provides substantial information on optical features related to red tide species. However, because published red tide indexes were developed for multichannel ocean color sensors, there are some limitations to applying them directly to HSI. In this study, we propose a new index for quantifyingM.polykrikoidesblooms along the south coast of Korea and generate aM.polykrikoidescell abundance map using HSI. A new index for estimating cell abundance was proposed using the pairs ofM.polykrikoidescell abundances and in situ spectra. After optimization of the published red tide indexes and band correlation analyses, the green-to-fluorescence ratio (GFR) index was proposed based on red tide spectral characteristics. The GFR index was computed from the green (524 and 583 nm) and fluorescence wavelength bands (666 and 698 nm) and converted into red tide cell abundance using a second-order polynomial regression model. The newly proposed GFR index showed the best performance, with a coefficient of determination (R-2) of 0.52, root mean squared error (RMSE) of 877.98 cells mL(-1), and mean bias error (MBE) of -18.42 cells mL(-1), when applied to atmospherically corrected HSI. TheM.polykrikoidescell abundance map generated from the GFR index provides precise spatial distribution information and allowed us to estimate a wide range of cell abundance up to 5000 cells mL(-1). This study indicates the potential of the GFR index for quantifyingM.polykrikoidescell abundance from HSI with a reasonably high level of accuracy.
ISSN
2072-4292
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/32910
DOI
10.3390/rs12152463
Bibliographic Citation
REMOTE SENSING, v.12, no.15, 2020
Publisher
MDPI
Subject
KARENIA-BREVIS BLOOMS; HARMFUL ALGAL BLOOMS; CHLOROPHYLL-A CONCENTRATION; REMOTE-SENSING TECHNIQUES; GULF-OF-MEXICO; RED-TIDE; COCHLODINIUM-POLYKRIKOIDES; TOXIC DINOFLAGELLATE; COLOR; OCEAN
Keywords
Margalefidinium polykrikoides; red tide cell abundance; the south coast of Korea; hyperspectral imagery
Type
Article
Language
English
Document Type
Article
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