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Retrieval of chlorophyll from remote-sensing reflectance in the China seas

机译:从中国海域遥感反射中提取叶绿素

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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.
机译:东海是典型的情况2的水环境,由于长江和黄河的排放,浮游植物色素,悬浮物和发色团溶解的有机物(CDOM)的浓度都高于公海。河。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浓度模拟了一套遥感反射率。从该模拟数据集中,提出了一种从遥感反射率中检索叶绿素浓度的新算法。对于这种方法,我们除了考虑了“海视宽视场传感器”(SeaWiFS)通道以外,还考虑了682 nm的光谱通道。当将此算法应用于现场数据集时,通过新算法检索的叶绿素浓度与现场测量结果一致,误差在18%以内,相比之下,SeaWiFS海洋叶绿素2算法与GIS之间的误差为147%。现场观察。

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