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首页> 外文期刊>Applied optics >Multivariate approach for the retrieval of phytoplankton size structure from measured light absorption spectra in the Mediterranean Sea (BOUSSOLE site)
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Multivariate approach for the retrieval of phytoplankton size structure from measured light absorption spectra in the Mediterranean Sea (BOUSSOLE site)

机译：从测量的地中海光吸收光谱中获取浮游植物大小结构的多元方法（BOUSSOLE站点）

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摘要

Models based on the multivariate partial least squares (PLS) regression technique are developed for the retrieval of phytoplankton size structure from measured light absorption spectra (BOUSSOLE site, northwestern Mediterranean Sea). PLS-models trained with data from the Mediterranean Sea showed good accuracy in retrieving, over the nine-year BOUSSOLE time series, the concentrations of total chlorophyll a [Tchl a], of the sum of seven diagnostic pigments and of pigments associated with micro, nano, and picophytoplankton size classes separately. PLS-models trained using either total particle or phytoplankton absorption spectra performed similarly, and both reproduced seasonal variations of biomass and size classes derived by high performance liquid chromatography. Satisfactory retrievals were also obtained using PLS-models trained with a data set including various locations of the world's oceans, with however a lower accuracy. These results open the way to an application of this method to absorption spectra derived from hyperspectral and field satellite radiance measurements.
机译：开发了基于多元偏最小二乘（PLS）回归技术的模型，用于从测得的光吸收光谱（地中海西北部BOUSSOLE站点）中检索浮游植物的大小结构。用来自地中海的数据训练的PLS模型显示出在九年的BOUSSOLE时间序列中检索七种诊断性色素与微色素相关的总叶绿素a [Tchl a]浓度的良好准确性。纳米级和浮游浮游生物大小类别。使用总颗粒或浮游植物吸收光谱训练的PLS模型的表现相似，并且均重现了通过高效液相色谱法得出的生物量和尺寸类别的季节性变化。使用PLS模型获得满意的检索结果，该PLS模型使用包含世界海洋各个位置的数据集进行训练，但准确性较低。这些结果为将该方法应用于从高光谱和野外卫星辐射度测量获得的吸收光谱开辟了道路。

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