| 海洋浮游植物粒径等级遥感研究现状与展望 |
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| 引用本文： | 丘仲锋,孙德勇,王胜强,何宜军. 海洋浮游植物粒径等级遥感研究现状与展望[J]. 广西科学, 2016, 23(6): 492-498. DOI: 10.13656/j.cnki.gxkx.20170109.002 |
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| 作者姓名： | 丘仲锋 孙德勇 王胜强 何宜军 |
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| 作者单位： | 南京信息工程大学海洋科学学院,江苏南京,210044 |
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| 基金项目： | 国家自然科学基金项目(41276186;41506200)，江苏省自然科学基金项目(BK20151526;BK20150914)，江苏省高校自然科学基金项目(15KJB170015)，江苏省“青蓝工程”优秀青年骨干教师项目资助。 |
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| 摘 要： | 海洋水体中浮游植物粒径等级的差异能反映其功能类型的不同,浮游植物粒径等级的探测对水生态系统中浮游植物功能多样性及浮游植物生物地理化学功能的研究具有极其重要的意义。本文综述当前浮游植物粒径等级的遥感探测算法,阐述各算法的步骤过程及其特点,并分析了优缺点。基于此,针对我国近海及海岸带水体,提出海洋浮游植物粒径等级(phytoplankton size classes,PSCs)遥感研究今后需要开展的工作。
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| 关 键 词： | 浮游植物粒径等级 遥感算法 海洋水体 |
| 收稿时间： | 2016-09-25 |
Research Status and Prospect of Remote Sensing of Phytoplankton Size Classes in Marine Waters |
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| QIU Zhongfeng,SUN Deyong,WANG Shengqiang and HE Yijun. Research Status and Prospect of Remote Sensing of Phytoplankton Size Classes in Marine Waters[J]. Guangxi Sciences, 2016, 23(6): 492-498. DOI: 10.13656/j.cnki.gxkx.20170109.002 |
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| Authors: | QIU Zhongfeng SUN Deyong WANG Shengqiang HE Yijun |
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| Affiliation: | School of Marine Science, Nanjing University of Information Science & Technology, Nanjing, Jiangsu, 210044, China,School of Marine Science, Nanjing University of Information Science & Technology, Nanjing, Jiangsu, 210044, China,School of Marine Science, Nanjing University of Information Science & Technology, Nanjing, Jiangsu, 210044, China and School of Marine Science, Nanjing University of Information Science & Technology, Nanjing, Jiangsu, 210044, China |
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| Abstract: | The difference if phytoplankton size classes (PSCs)in marine waters reflects phyto-plankton function diversity,of which the study is of significance for understanding the structure of phytoplankton community,and revealing biogeochemical processes of water ecosystem.This article reviews current researches on remote sensing algorithms of PSCs in marine waters.The processes of existing remote sensing algorithms are addressed in detail,and their advantages and disadvantages are also analyzed,based on which,several important aspects of research work are proposed for developing remote sensing algorithms suitable for coastal waters of China. |
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| Keywords: | phytoplankton size classes (PSCs) remote sensing algorithm marine waters |
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