水色遥感反演算法中半分析模型的建立需要已知水体固有光学量, 文章基于现场实测数据建立了由遥感反射率反演固有光学量模型。 对2003年春季黄东海航次所测数据进行了介绍, 详细阐述了遥感反射率、 颗粒物后向散射和吸收系数的测量方法。 基于生物光学模型, 利用单纯形优化算法由遥感反射率来反演水体固有光学量, 并将反演结果与实测数据进行了比较, 除水之外物质吸收系数的均方根相对误差小于33％, 颗粒物后向散射系数则小于30％, 对引起误差的原因进行分析表明, 本研究方法能够为黄东海水体固有光学量的反演提供一条有效途径, 为遥感数据应用于黄东海水体生物光学特性的研究提供一个参考模型。

The inherent optical properties are needed when establishing the semi-analytic model in the ocean color retrieval algorithm. Using the in-situ measurements, a retrieval model for inherent optical properties from remote sensing reflectance was established. The in-situ data measured in the 2003 spring cruise over the Yellow and East China Seas is introduced. The measurement method for remote sensing reflectance, particle backscattering and absorption coefficients are detailed. Based on the bio-optical model, the inherent optical properties were retrieved by optimization of Nelder-Mead simplex. The retrieval results of the absorption and backscattering coefficients for the material other than pure water were compared with the counterpart of the in-situ measurements. The comparison shows that the root-mean-square relative error for the absorption coefficient of materials other than water is less than 33%. The value is 30% for the particle backscattering coefficient. The analysis of the error shows that the retrieval model established in this paper can provide an efficient approach to retrieving the absorption and backscattering coefficients. The retrieval model can provide a reference for the application of remotely sensed data to the research on the bio-optical properties of Yellow and East China Seas.