Abstract：On the basis of the spectral characteristics of cynobacteria, a robust semi-empirical model was developed to estimate phycocyanin concentration (Cpc) using MODIS imagery with a spatial resolution of 250m. The floating neonatal cyanobacteria could be identified well and truly by the estimation model of Cpc. So it was easy to retrieve the coverage of floating neonatal cyanobacteria from MODIS imagery by the model, where there was not any actual meaning to quantitatively estimate Cpc and it was certainly not necessary to pay attention to its estimation precision. In the outside of the newly cyanobacterial blooms-covered area, the Cpc estimation precision was highly determined by phycocyanin pigment content and the ratio of Cpc to chlorophyll-a concentration (Chl-a). When Cpc was less than 35μg/L, the relative estimation error of the model was about 134% on average; and when it was more than 35μg/L, the relative error was reduced to 31%. However, when Cpc was more than 35μg/L and the ratio of Cpc to Chl-a was less than 8, the relative error was only up to 29% on average.
马荣华, 孔维娟, 段洪涛, 张寿选. 基于MODIS影像估测太湖蓝藻暴发期藻蓝素含量[J]. 中国环境科学, 2009, 29(3): 254-260.
MA Rong-Hua, KONG Wei-Juan, DUAN Hong-Tao, ZHANG Shou-Xuan. Quantitative estimation of phycocyanin concentration using MODIS imagery during the period of cyanobacterial blooming in Taihu Lake. . CHINA ENVIRONMENTAL SCIENCECE, 2009, 29(3): 254-260.
