二类水体悬浮泥沙遥感反演算法综述

A Review of Retrieval Algorithms for Suspended Sediment Concentration by Remote Sensing

鉴于二类水体本身光学性质的复杂性及其与人类生产活动的密切关系,利用遥感数据监测二类水体水质受到了国内外学者的普遍关注,成为海洋学领域的热点问题。悬浮泥沙含量是表征水质优劣的一个重要参数,众多研究致力于建立悬浮泥沙反演模型的研究,定量反演二类水体悬浮泥沙浓度。该文总结了近年来二类水体悬浮泥沙遥感反演算法的研究进展。悬浮泥沙定量反演模型大致可分为以下三类:1)利用水体光学特性和水体组分之间关系建立的经验模型;2)综合经验模型和物理模型构建的半分析模型;3)基于辐射传输模型和生物光学模型建立的物理模型。针对目前反演算法存在的主要问题,提出未来的研究需加强反射率光谱曲线研究、开发高光谱遥感数据以及综合多源数据信息等方面的内容。

The case Ⅱ waters has complicated optical characteristic and is closely related to human activities in coastal areas.Using remote sensing to monitor water quality of the case Ⅱ waters has attracted widespread attention,becoming a popular topic in the field of oceanography.Due to the importance of suspended sediment concentration（SSC） in indicating water quality,many studies have been focused on the quantitative retrieval of SSC.The inversion algorithms can be summarized as the following three categories： 1） the empirical models established by the relationship between water optical properties and water components,2） the semi-analytic models combining the empirical models and the physical models,and 3） the physical models based on the radiative transfer theory and the biological optical theory.According to the major problems in the retrieval models,future researches should highlight the application of spectral curves,address the development of hyperspectral remote sensing data and the combination of multiple sources.