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.　©2010　IEEE.