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首页> 外文期刊>Applied optics >Reducing variability that is due to secondary pigments in the retrieval of chlorophyll a concentration from marine reflectance: a case study in the western equatorial Pacific Ocean
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Reducing variability that is due to secondary pigments in the retrieval of chlorophyll a concentration from marine reflectance: a case study in the western equatorial Pacific Ocean

机译：减少由于从海洋反射中获取叶绿素a浓度而引起的二次色素变异性：以赤道西太平洋为例

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摘要

A neural network is developed to retrieve chlorophyll a concentration from marine reflectance by use of the five visible spectral bands of the Sea-viewing Wide Field-of-view Sensor (Sea WiFS). The network, dedicated to the western equatorial Pacific Ocean, is calibrated with synthetic data that vary in terms of atmospheric content, solar zenith angle, and secondary pigments. Pigment variability is based on in situ data collected in the study region and is introduced through nonlinear modeling of phytoplankton absorption as a function of chlorophyll a, b, and c and photosynthetic and photoprotectant carotenoids. Tests performed on simulated yet realistic data show that chlorophyll a retrievals are substantially improved by use of the neural network instead of classical algorithms, which are sensitive to spectrally uncorrelated effects. The methodology is general, i.e., is applicable to regions other than the western equatorial Pacific Ocean.
机译：开发了一个神经网络，通过使用海洋宽视野传感器（Sea WiFS）的五个可见光谱带从海洋反射率中检索叶绿素浓度。该网络专用于赤道西太平洋，已根据合成数据进行了校准，这些合成数据在大气含量，太阳天顶角和二次色素方面均存在差异。色素变异性是基于研究区域内收集的原位数据，通过浮游植物吸收的非线性建模引入的，其随叶绿素a，b和c以及光合作用和光防护类胡萝卜素的变化而变化。对模拟但现实的数据进行的测试表明，通过使用神经网络而不是经典算法（对光谱不相关的影响敏感），可以大大改善叶绿素a的检索。该方法是通用的，即适用于赤道西太平洋以外的地区。

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