研究成果

Comparison of Machine Learning Techniques in Inferring Phytoplankton Size Classes

期刊名称: Remote Sensing
全部作者: Shuibo Hu*,Huizeng Liu,Wenjing Zhao,Tiezhu Shi,Zhongwen Hu,Qingquan Li,Guofeng Wu
出版年份: 2018
卷       号: 10
期       号: 191
页       码: 1-10
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The size of phytoplankton not only influences its physiology, metabolic rates and marine food web, but also serves as an indicator of phytoplankton functional roles in ecological and biogeochemical processes. Therefore, some algorithms have been developed to infer the synoptic distribution of phytoplankton cell size, denoted as phytoplankton size classes (PSCs), in surface ocean waters, by the means of remotely sensed variables.