Integrative Analysis of AltiKa-SSHa, MODIS-SST, and OCM-Chlorophyll Signatures for Fisheries Applications

The study focused on integrative signature analysis of synchronous chlorophyll concentrations (CC), Sea Surface Temperature (SST), and Sea Surface Height anomaly (SSHa) for fisheries applications. CC and SST were derived from IRS-OCM and MODIS, respectively, and SSHa was derived from SARAL-AltiKa, AVISO Ssalto/Duacs, and TOPEX/Poseidon. Spatial profiles were generated to visualize patterns of variability in signatures, their distribution, persistence, and interrelationship. The patterns of SST and SSHa signatures are co-varying in many cases indicating linearly related and the correlation was r = 0.79, whereas chlorophyll and SST/SSHa profiles are inversely related and the correlation was r = −0.82 and −0.73, respectively. Time series analysis of these variables shows areas of negative SSHa consist of high CC and relatively low SST. This suggests that negative SSHa areas consist of dense nutrient rich water and can be used as an indicator of enhanced biological production sites. Fishing operations data were procured from Fishery Survey of India (FSI). Fish catch in terms of catch per unit efforts (CPUE) were related with signatures of variables. High CPUE locations/contours were found in the vicinity of low SSHa/SST and high CC consisting waters.

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