The objective of this study was to use Landsat-MSS digital data converted for the mapping of suspended sediments (SS) in the Krishna Bay Estuary. The relation between Landsat-MSS radiance values for all four bands and measured values of suspended solid concentrations were quantified using simple linear and multiple regression equations. An optimum and best fitted equation was chosen based on the percentage error of estimation, Chi2values and simplicity of the model. This calibrated regression model was then applied to map the SS(mgl−1) concentration for the entire study area. It is shown that Landsat-MSS data can be used successfully to quantify suspended sediment concentrations in this geographical area and possibly in other areas which have similar environmental and climatic conditions, if the regression equation is tested using an independent data set.