He M X, Liu Z S, Du K P, Li L P, Chen R, Carder K L, Lee Z P
Appl Opt. 2000 May 20;39(15):2467-74. doi: 10.1364/ao.39.002467.
The East China Sea is a typical case 2 water environment, where concentrations of phytoplankton pigments, suspended matter, and chromophoric dissolved organic matter (CDOM) are all higher than those in the open oceans, because of the discharge from the Yangtze River and the Yellow River. By using a hyperspectral semianalytical model, we simulated a set of remote-sensing reflectance for a variety of chlorophyll, suspended matter, and CDOM concentrations. From this simulated data set, a new algorithm for the retrieval of chlorophyll concentration from remote-sensing reflectance is proposed. For this method, we took into account the 682-nm spectral channel in addition to the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) channels. When this algorithm was applied to a field data set, the chlorophyll concentrations retrieved through the new algorithm were consistent with field measurements to within a small error of 18%, in contrast with that of 147% between the SeaWiFS ocean chlorophyll 2 algorithm and the in situ observation.
东海是典型的二类水体环境，由于长江和黄河的排放，其浮游植物色素、悬浮物和发色溶解有机物（CDOM）的浓度均高于开阔海洋。通过使用高光谱半分析模型，我们针对各种叶绿素、悬浮物和CDOM浓度模拟了一组遥感反射率。从这个模拟数据集中，提出了一种从遥感反射率反演叶绿素浓度的新算法。对于该方法，除了海景宽视场传感器（SeaWiFS）通道外，我们还考虑了682纳米光谱通道。当将该算法应用于现场数据集时，通过新算法反演得到的叶绿素浓度与现场测量值一致，误差在18%的小范围内，相比之下，SeaWiFS海洋叶绿素2算法与现场观测值之间的误差为147%。
