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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)

Produktbeschreibung
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)
Autorenporträt
Mr. Mohd Tanveer is a Senior research fellow at Indian Institute of Technology, Kharagpur (W.B.)India. He has industrial and academic experience. His research area is waste water treatment. He has published/presented more than fifteen papers in conferences and journals of national and international repute.