Pollution due to increase in population, industrialization and other anthropological activities is effecting the physical, chemical and biological parameters of river water. Different water quality standards have been developed in order to keep check on the extent of water pollution, and in order to maintain these quality standards, water quality assessment and apportionment of pollution sources of river is been done using in situ laboratory analysis and multivariate statistical techniques. Traditional water quality management techniques were expensive, generally labour intensive and time consuming. Using satellite data and its potentials are new tools for managing and mapping surface water quality. Remote sensing offered a faster, repeatable, objective, cost effective and efficient way to monitor water quality. The present study demonstrates the use of spatially enhanced IRS LISS III and PAN satellite data for monitoring of water quality in part of Gomti River, Lucknow. The spatial enhancement of different spatial data sets is often used in digital image processing to improve the visual and analytical quality of the data. The spatial image enhancement technique combines the spectral and high spatial resolution information from two different sensors into one image, which has both spectral and high spatial resolution. In order to improve the spatial resolution, the efficiency of six different spatial enhancement techniques viz. Principal Component, Multiplicative, Modified IHS, HPF, Ehlers Fusion and Brovey Transform with standard deviation 5.721, 805.628, 1.567, 14.184, 10.657, 12.254 respectively were examined and evaluated. The Modified IHS spatial enhancement technique with higher standard deviation showing overall best result in compare to others in the analysis of water quality.