水色要素垂直分布对其遥感反演算法精度的影响

Influence of Vertical Distribution of Water Consistent to Precision of Remote Sensing Retrieval Algorithm

基于辐射传输模型模拟得到叶绿素和悬浮颗粒物在不同垂直分布条件下的遥感反射率数据集,利用该数据集对现有叶绿素、悬浮颗粒物浓度和固有光学量模型进行检验,研究了垂直分布对遥感反演算法反演精度的影响。结果表明:在悬浮颗粒物垂直分布、叶绿素及其垂直分布的影响下,悬浮颗粒物波段比值模型高估的悬浮颗粒物浓度要大于单波段模型;叶绿素波段比值模型和三波段模型能够较好地降低由叶绿素垂直分布、悬浮颗粒物及其垂直分布引起的叶绿素浓度高估的程度。悬浮颗粒物和叶绿素及其垂直分布对固有光学量反演具有双重效应,悬浮颗粒物垂直分布将使得吸收系数和后向散射系数被高估,而叶绿素垂直分布将使得吸收系数和后向散射系数被低估。在悬浮颗粒物和叶绿素共同作用下,固有光学反演结果具有较大的不确定性。

Based on the radiation transfer model, the remote sensing reflectance dataset is simulated under different vertical distributions of chlorophyll-a and suspended particle. In order to study the influence of vertical distribution to the remote sensing retrieval algorithm precision, the dataset is supplied to check the retrieval model of chlorophyll-a, suspended particle and inherent optical properties. The results indicate that the overestimate of suspended particle band ratio model is greater than single band model under the effect of suspended particle and chlorophyll-a vertical distribution. Chlorophyll-a band ratio and three-band model can reduce the overestimation of chlorophyll-a induced by the suspended particle and chlorophyll-a vertical distribution. The suspended particle and chlorophyll-a vertical distribution have double effects on the inherent optical properties retrieval model. Namely, the suspended particle vertical distribution will lead to overesitmate the absorption and backscattering coefficient, while the chlorophyll-a vertical distribution will lead to underestimate. The results of inherent optical properties retrieval model is uncertain under the double effects of suspended particle and chlorophyll-a.