Remote sensing and GIS are robust tools in detection of fishing grounds which is important in providing fish sustainability
for human being. This recent tool allows fishing grounds detection at minimal cost and optimizes effort. The objectives
of this study were to investigate the relationship between R. kanagurta fishing grounds with environmental factors and
to determine its potential fishing grounds. MODIS derived satellite data of Chl-a and sea surface temperature (SST)
and fisheries catch data of 2008 and 2009 were analyzed using suitability index (SI) and generalized additive model
(GAM) in the Exclusive Economic Zone (EEZ) off the East Coast of Peninsular Malaysia. Distribution of R. kanagurta
was associated with preferred range of 0.20 to 0.30 mg/m3 for Chl-a and 29 to 30°C for SST. GAM indicated that these
parameters influenced fish distribution (p<0.001). Potential fishing ground maps derived from the SI and GAM model
indicated accuracy at 75% with kappa of 0.7 and accuracy at 87.6% with kappa of 0.8, respectively. This study indicated
the capability of GAM as an exploratory tool to map the potential fishing grounds of R. kanagurta in the EEZ waters.