水体中叶绿素a浓度遥感反演的算法研究进展

Progress of Algorithms Research on Remote Sensing Retrieval of Chlorophyll-a Concentration in Water Body

利用遥感数据定量反演水体中叶绿素a浓度主要有三种方法:经验方法、半经验方法和分析方法。本文简要介绍了常用的遥感数据,并总结了上述三种反演方法的基本原理和典型算法,最后指出了以高光谱数据为基础的叶绿素a浓度的遥感定量反演算法是未来发展趋势。

To estimate Chlorophyll-a concentration using remote sensing data, there are three main inversion models: empirical models, semi-empirical models and analytical models. This paper briefly introduced the usual data sources of remote sensing and summarized the basic principles and typical algorithms of the above-mentioned models. We finally pointed out that quantitative retrieval of chlorophyll-a by hyperspectral remote sensing is the future development trend.