Application of QuikSCAT SeaWinds data to improve remotely sensed Potential Fishing Zones (PFZs) forecast methodology: preliminary validation results

Abstract

In this study, we used chlorophyll concentration and sea surface temperature (SST) images derived from IRS P4-OCM and NOAA- AVHRR, respectively, to delineate the oceanographic features exhibiting different oceanic processes. QuikSCAT-SeaWinds derived wind vectors were used to understand, establish, quantify and to demonstrate the variability of wind induced watermass flow as well as their impacts on features/oceanographic process. Oceanographic features like eddies, rings and fronts were found shifted as per movement and direction of the wind. The movement of water mass due to wind provides insight of environmental factors relevant to dispersal of fishery resources. An algorithm was developed to compute water mass transport and feature shift. Based on these studies an approach for incorporating QuikSCAT-SeaWinds data to improve PFZs forecast methodology has been developed. The improved PFZs forecast methodology was validated through near real time fishing operations. About 82-85% success rate was reported during validation experiments carried out during 2004. The improved methodology would prolong the validity of PFZs forecast.