Remote Sensing Inversion of Concentration of Phytoplankton Chlorophyll and Carotenoid from GOCI Measurements in Coastal Waters

被引:3
作者
Li Zhenghao [1 ]
Chen Zhizhao [1 ]
Wang Liyan [3 ]
Sun Deyong [1 ,2 ]
Zhao Binru [3 ]
Wang Shengqiang [1 ,2 ]
机构
[1] Nanjing Univ Informat Sci & Technol, Sch Marine Sci, Nanjing 210044, Jiangsu, Peoples R China
[2] Jiangsu Res Ctr Ocean Survey Technol, Nanjing 210044, Jiangsu, Peoples R China
[3] Natl Marine Data & Informat Serv, Tianjin 300171, Peoples R China
关键词
ocean optics; chlorophyll; carotenoid; remote sensing inversion; GOCI; spatial-temporal distribution; coastal waters; LONG-TERM CHANGES; ACCESSORY PIGMENTS; COMMUNITIES; ZONE;
D O I
10.3788/AOS202141.0201001
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Based on the measured remote sensing reflectance (R-rs) and phytoplankton pigment concentrations collected during seven cruises in the Bohai Sea, Yellow Sea and East China Sea from 2016 to 2018, we established the inversion models of total chlorophyll-a, chlorophyll-b, total chlorophyll-c, photoprotective carotenoid, and photosynthetic carotenoid concentrations from the geostationary ocean color imager (GOCI) R-rs products in the coastal waters of China. Furthermore, we obtained the concentration distribution of each pigment from 2014 to 2018 in the Bohai Sea, Yellow Sea and East China Sea. The research results showed that the inversion model established by the R-rs band combinations could achieve the quantitative inversion of pigment concentration, and the inversion accuracy of the established model was relatively high (R-2 > 0.72). As can be seen from the satellite inversion results, the phytoplankton pigment concentration presented a trend of decreasing from nearshore to offshore waters, displaying a significant seasonal variation. In conclusion, the inversion model of phytoplankton pigment concentration established in this paper can provide method support for the in-depth understanding of phytoplankton population structure and spatial-temporal variation rules in the coastal waters of China.
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页数:11
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