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.　©2010　IEEE.