Abstract
Satellite remote sensing plays a significant role in algal bloom monitoring and detection over these decades. Different satellite data from SeaWiFS, MODIS/Aqua, MODIS/Terra and MERIS were processed for East China Sea in May 2008. Derived normalized water-leaving radiance (nLw), chlorophyll concentration (Chl) and fluorescence line height (FLH) were compared and analysed for these sensors. The comparison results show that nLw data from MODIS/Terra with SeaWiFS and MODIS/Terra with MERIS have more reliable correlation than those from MODIS/Terra with MODIS/Aqua. The Chl comparsions reveal the good capability of MODIS/Terra and MERIS better than others. Therefore, it would be feasible to continue the time series using multi-sensor data and improve the data merging in algal bloom detection.
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