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Retrieval of phycocyanin concentration in the eutrophic Taihu Lake

机译:富营养化太湖中藻蓝蛋白浓度的反演

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Phycocyanin (PC) in the blue-green algae is usually used to detect the quantity of the blue-green algae, and it has a special absorption at 620nm waveband. Taihu Lake has become severely turbid and eutrophic in recent years. However, the accuracy of empirical models varies highly. Therefore, it is very useful to find a model which can retrieve PC concentration in a good accuracy. In this work, four models (i.e. single band model, the radio model, the first-derivative model, the three-band model and empirical ratio model) were developed based on remote sending reflectance and measured PC concentration in Taihu Lake in May, 2010 to retrieve PC concentration and then to find out which one is the best. The results show that the 2nd order polynomial models generally had a better performance than the line models. The three-band model was the most optimal model because it had the highest values of R~2 and the lowest values of RMSE.
机译:蓝藻中的藻蓝蛋白(PC)通常用于检测蓝藻的数量,并且在620nm波段具有特殊吸收。近年来,太湖混浊和富营养化。但是,经验模型的准确性差异很大。因此,找到一个可以高精度检索PC浓度的模型非常有用。在这项工作中,基于遥测反射率和实测PC浓度,于2010年5月开发了四个模型(即单频带模型,无线电模型,一阶导数模型,三频带模型和经验比模型)。检索PC浓度,然后找出哪一种是最好的。结果表明,二阶多项式模型通常具有比线性模型更好的性能。三频带模型是最佳模型,因为它具有最高的R〜2值和最低的RMSE值。

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