Abstract
Detection of cyanbacteria blooms in Taihu using vegetation index data from MODIS was carried out since cyanbacteria blooms broke out in May 2007.The results showed that MODIS was able to detect cyanobacteria bloom effectively.Algorithm of band ratio between infrared and red band and values of NDVI or EVI can be used to analyze the distribution of algae.However,the former two were difficult to distinguish high-turbid water from algae or identify areas with low density of cyanbacteria,which resulted in the magnified or reduced areas of algae,while the latter one could constrain background noise properly mainly from water and suspended matter.Therefore,based on the digital number values(DNs)of EVI band,an approximately actual distribution of algae was induced.The study showed that satellite observations could be effectively applied to cyanobacteria bloom real-time monitoring system for Lake Taihu.
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