基于MODIS遥感数据源的内陆水体叶绿素a浓度反演算法综述

由于MODIS遥感具有较高的空间、光谱以及时间分辨率，遥感反演方法已经逐渐成为内陆水体叶绿素浓度信息提取研究的重要技术之一。本文回顾了国内外MODIS遥感反演算法研究进展，总结了目前若干反演方法的基本原理与典型算法，将反演方法归纳为经验模型法、半经验模型法以及分析模型法，对比分析各方法的特点，并提出区域性与普适性问题是所有目前算法模型的通病，未来以高光谱数据源反演是趋势，算法要以解决区域局限性与水色复杂性为主。

英文摘要:

Because of Modis remote sensing having a high spatial, spectral and temporal resolution,the remote sensing inversion has become one of the most important techniques for extraction of chlorophyll concentration inland water. This paper reviewed the progress of MODIS remote sensing retrieval algorithms at home and abroad, summarized the basic principles and typical algorithms of several inversion methods,summed up the inversion methods as empirical model method, semiempirical model method and analytic model method,analyzed and compared the characteristics of each method,and put forward the regional and universal problem was a common problem of all current algorithm model,advised that the inversion of hyperspectral data source was a trend in the future,and suggested that the algorithm should resolve regional limits and aquatic complexity.

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