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Remote estimation of chlorophyll-a concentrations in Taihu Lake during cyanobacterial algae bloom outbreak

机译:叶绿素藻类藻类爆发中叶绿素 - 叶绿素浓度的远程估算

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Accurate remote assessment of chlorophyll-a (chla) concentration is particularly challenging in turbid waters, especially during the period of cyanobacterial algae bloom outbreak. In this study, we took Taihu Lake as an example, and presented a chl-a estimation method in the condition of cyanobacteria algae bloom outbreaking by using MODIS data. The main idea of this method is (1) to study the water reflectance spectra during the bloom outbreak, (2) to divide water into different areas based on the water reflectance spectra, and (3) to establish algorithms for chl-a estimation in different water areas. The results shows that the method greatly improved the accuracy of chl-a estimation during the cyanobacterial algae bloom outbreak in Taihu lake.
机译:精确的叶绿素-A(CHLA)浓度的远程评估在浑浊水域中尤其具有挑战性,特别是在藻类藻类爆发的天麻藻类期间。 在这项研究中,我们以太湖为例,通过使用MODIS数据呈现了Cyanobacteria藻类爆发的CHL-A估计方法。 该方法的主要思想是(1)在绽放爆发期间研究水反射光谱,(2)将水分成基于水反射光谱的不同区域,(3)建立CHL-A估计的算法 不同的水域。 结果表明,该方法大大提高了太湖蓝藻藻类爆发的CHL-A估计的准确性。

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