Chlorophyll-a and suspended sediment are two important parameters of case II water quality. In case I water, these two parameters can be effectively quantified by empirical algorithm developed using the radiance values obtained from remote sensing data through the surface concentration samples collected from the field. In case II waters, however, the task becomes difficult due to the presence of anthropogenic activities. This paper explores the usefulness of remote sensing technology for analysis of chlorophyll-a (chl-a) and suspended sediment (SS) by developing an algorithm for two seasons using IRS-P4OCM sensor. The algorithm has been validated and variation between the field and computed value is round 5%. This algorithm can be used to estimate the chlorophyll-a and suspended sediment concentration in the coastal environment using the IRS-P4 OCMsensor without any field sample values for further analysis.

Key words: Chlorophyll-a, Suspended sediment, Vedaranyam coastal wetland, algorithm,OCMsensor.