基于半分析算法的太湖水质参数多光谱遥感反演

Multispectral remote sensing inversion of quality parameters of water in Taihu Lake based on semi-analytical model

半分析算法基于固有光学特性数据,具有明确的物理意义,能同时反演多种水质参数,是水质遥感反演的趋势。基于太湖实测的吸收系数与后向散射系数数据与Landsat/TM数据,利用Gordon半分析模型,对叶绿素a、悬浮物与黄色物质进行了同步反演,并探讨了半分析算法适用于内陆水体多光谱遥感数据的潜力。多水质参数同步反演方法为水环境综合分析提供了有利的技术手段。

Semi-analytical （SA） algorithm is based on inherent optical properties, possesses definte physical connotation,and at sametime it can inverse various water parameters and is the developing trend of remote sensing for weter quality. In addition to this, SA model has the capacity to derive various bio-optical parameters from a single set of remote sensing reflectance data. In this study, the Gordon semi-analytical bio-optical model was applied to determine the concentration of chlorophyll-a, total suspended matter and colored dissolved matter （CDOM） in inland water body by using of Landsat/TM data. The potential of application of SA algorithm to mulit-spectral remote sensing of inland water body was discussed. The analyses implies that the performance depends on the quality of the input inherent optical properties and the knowledge of the model parameters.