Application of adaptive weighted averaging method for ocean color data in East China Sea

The use of ocean color satellite image data to investigate oceanic processes has become essential for oceanographic research and monitoring. In order to exploit information from multiple sensors, a new data merger, i.e. adaptive weighted averaging was employed to merge MODIS Aqua and MODIS Terra chla product in the East China Sea and its performance was assessed. Comparison between chla products pairs reveal consistency below 10mg/m3, but discrepancy was obvious when turned to high values. The method present here will minimize the difference between the merged pixels and their adjoin pixels having single source. This will make the merged output more continuous.