Synergistic Effect of Multi-Sensor Data on the Detection of Margalefidinium polykrikoides in the South Sea of Korea

被引:11
作者
Shin, Jisun [1 ,2 ]
Kim, Keunyong [1 ]
Son, Young Baek [3 ]
Ryu, Joo-Hyung [1 ,2 ]
机构
[1] KIOST, Korea Ocean Satellite Ctr, 385 Haeyang Ro, Busan 49111, South Korea
[2] KMOU, KIOST, Ocean Sci & Technol Sch, 727 Taejong Ro, Busan 49112, South Korea
[3] KIOST, Jeju Marine Res Sect, 2670 Gujwa Eup, Jeju Shi 63349, South Korea
关键词
harmful algal blooms; Margalefidinium polykrikoides; the South Sea of Korea; multi-sensor; Geostationary Ocean Color Imager; Sentinel; Landsat; HARMFUL ALGAL BLOOMS; RED TIDE DETECTION; REMOTE-SENSING TECHNIQUES; KARENIA-BREVIS BLOOMS; GULF-OF-MEXICO; TOXIC DINOFLAGELLATE; OPTICAL-PROPERTIES; COASTAL WATERS; COLOR; SATELLITE;
D O I
10.3390/rs11010036
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Since 1995, Margalefidinium polykrikoides blooms have occurred frequently in the waters around the Korean peninsula. In the South Sea of Korea (SSK), large-scale M. polykrikoides blooms form offshore and are often transported to the coast, where they gradually accumulate. The objective of this study was to investigate the synergistic effect of multi-sensor data for identifying M. polykrikoides blooms in the SSK from July 2018 to August 2018. We found that the Spectral Shape values calculated from in situ spectra and M. polykrikoides cell abundances in the SSK were highly correlated. Comparing red tide spectra from near-coincident multi-sensor data, remote-sensing reflectance (R-rs) spectra were similar to the spectra of in situ measurements from blue to green wavelengths. R-rs true-color composite images and Spectral Shape images of each sensor showed a clear pattern of M. polykrikoides patches, although there were some limitations for detecting red tide patches in coastal areas. We confirmed the complementarity of red tide data extracted from each sensor using an integrated red tide map. Statistical assessment showed that the sensitivity of red tide detection increased when multi-sensor data were used rather than single-sensor data. These results provide useful information for the application of multi-sensor for red tide detection.
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页数:21
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[1]   Detecting the red tide algal blooms from satellite ocean color observations in optically complex Northeast-Asia Coastal waters [J].
Ahn, Yu-Hwan ;
Shanmugam, Palanisamy .
REMOTE SENSING OF ENVIRONMENT, 2006, 103 (04) :419-437
[2]   The globally distributed genus Alexandrium: Multifaceted roles in marine ecosystems and impacts on human health [J].
Anderson, Donald M. ;
Alpermann, Tilman J. ;
Cembella, Allan D. ;
Collos, Yves ;
Masseret, Estelle ;
Montresor, Marina .
HARMFUL ALGAE, 2012, 14 :10-35
[3]  
Brockmann C., 2016, Living Planet Symposium, V740, P54
[4]   A novel technique for detection of the toxic dinoflagellate, Karenia brevis, in the Gulf of Mexico from remotely sensed ocean color data [J].
Cannizzaro, Jennifer P. ;
Carder, Kendall L. ;
Chen, F. Robert ;
Heil, Cynthia A. ;
Vargo, Gabriel A. .
CONTINENTAL SHELF RESEARCH, 2008, 28 (01) :137-158
[5]   Long-term evaluation of three satellite ocean color algorithms for identifying harmful algal blooms (Karenia brevis) along the west coast of Florida: A matchup assessment [J].
Carvalho, Gustavo A. ;
Minnett, Peter J. ;
Banzon, Viva F. ;
Baringer, Warner ;
Heil, Cynthia A. .
REMOTE SENSING OF ENVIRONMENT, 2011, 115 (01) :1-18
[6]   A simple and effective method for filling gaps in Landsat ETM plus SLC-off images [J].
Chen, Jin ;
Zhu, Xiaolin ;
Vogelmann, James E. ;
Gao, Feng ;
Jin, Suming .
REMOTE SENSING OF ENVIRONMENT, 2011, 115 (04) :1053-1064
[7]   Harmful algal bloom (HAB) in the East Sea identified by the Geostationary Ocean Color Imager (GOCI) [J].
Choi, Jong-Kuk ;
Min, Jee-Eun ;
Noh, Jae Hoon ;
Han, Tai-Hyun ;
Yoon, Suk ;
Park, Young Je ;
Moon, Jeong-Eon ;
Ahn, Jae-Hyun ;
Ahn, Sung Min ;
Park, Jae-Hun .
HARMFUL ALGAE, 2014, 39 :295-302
[8]   Red and black tides: Quantitative analysis of water-leaving radiance and perceived color for phytoplankton, colored dissolved organic matter, and suspended sediments [J].
Dierssen, Heidi M. ;
Kudela, Raphael M. ;
Ryan, John P. ;
Zimmerman, Richard C. .
LIMNOLOGY AND OCEANOGRAPHY, 2006, 51 (06) :2646-2659
[9]   The Global Monitoring for Environment and Security (GMES) Sentinel-3 mission [J].
Donlon, C. ;
Berruti, B. ;
Buongiorno, A. ;
Ferreira, M. -H. ;
Femenias, P. ;
Frerick, J. ;
Goryl, P. ;
Klein, U. ;
Laur, H. ;
Mavrocordatos, C. ;
Nieke, J. ;
Rebhan, H. ;
Seitz, B. ;
Stroede, J. ;
Sciarra, R. .
REMOTE SENSING OF ENVIRONMENT, 2012, 120 :37-57
[10]   Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services [J].
Drusch, M. ;
Del Bello, U. ;
Carlier, S. ;
Colin, O. ;
Fernandez, V. ;
Gascon, F. ;
Hoersch, B. ;
Isola, C. ;
Laberinti, P. ;
Martimort, P. ;
Meygret, A. ;
Spoto, F. ;
Sy, O. ;
Marchese, F. ;
Bargellini, P. .
REMOTE SENSING OF ENVIRONMENT, 2012, 120 :25-36