基于2016—2018年渤海、黄海和东海7个航次中采集的实测遥感反射率和浮游植物色素浓度数据,利用静止海洋水色成像仪(GOCI)遥感反射率产品建立中国近海水体中总叶绿素a、叶绿素b、总叶绿素c、光保护类胡萝卜素和光合有效类胡萝卜素浓度的反演模型,并进一步得到2014—2018年渤海、黄海和东海各色素浓度分布图。研究结果显示:采用遥感反射率波段组合建立的反演模型可实现色素浓度的定量反演,建立的模型反演精度较高(R2>0.72)。由卫星反演结果可以看出,浮游植物色素浓度整体呈由近岸向离岸水域递减的趋势,并存在显著的季节变化特征。本文建立的浮游植物色素浓度反演模型,可为深入认识我国近海水体浮游植物种群结构及时空变化规律提供方法支撑。

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 (R²>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.