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The two fundamental oceanographic factors that affect the water quality and widely used parameters for the location of fishery zones are chlorophyll-a and sea surface temperature ( SST). The research investigates the feasibility of artificial neural network to derive chlorophyll-a and sea surface temperature using MODIS (Moderate Resolution Imaging Spectro-radiometer) data and to demarcate the Potential Fishery Zones (PFZs)