光进入水体中, 经反射、 散射和吸收后, 出射的偏振光与水体的物理、 化学特性密切相关, 能够反映水体成分浓度的变化, 可以作为高光谱遥感的有益补充, 有利于动态定量监测湖泊复杂水体成分的变化。 研究工作以巢湖为例, 利用水面高光谱偏振多角度测量数据, 在偏振光学理论和生物光学模型的基础上, 建立了湖泊水体叶绿素三波段偏振高光谱半分析模型, 并对模型进行检验。 结果显示, 偏振高光谱三波段组合与叶绿素浓度拟合的相关系数为0.844, 均方根误差5.14 μg·L-1, 平均相对误差31.44%, 比传统的三波段辐射强度模型分别提高了4.1%, 2.05 μg·L-1和5.46%, 表明三波段偏振半分析模型对叶绿素a浓度具有较强的预测能力, 体现出运用偏振高光谱信息监测湖泊水质的优势。

When light launches into the water, the emitted polarized light is closely related to water physical and chemical properties by reflection, scattering and absorption. It can reflect the concentration of water composition, and can be used to monitor water quality in the complex lake water for important information. Taking Chao Lake as an example, three-band polarized hyperspectral semi-analytical model of lake chlorophyll was established by the hyperspectral multi-angle polarization measurement data on water surface on the basis of the theory of polarized light and bio-optical model. The result shows that the correlation between polarized hyperspectral three-band combination and chlorophyll concentration was discovered to be 0.76, while RMSE and MRE were found to be 5.14 μg·L-1 and 31.44% respectively, which are increased by 4.1%, 2.05 μg·L-1 and 5.46% respectively than the traditional three-band radiation model. This indicates that the three-band polarized semi-analytical model has strong predictive ability for chlorophyll concentration, which reflects the advantages of polarized hyperspectral information for monitoring lake water quality.