For Assessment of water quality, the initial stage involves separation of water bodies from satellite images. Conventional approaches rely on measurement of spectral reflectance, turbidity, hardness, and pH levels using filtering, color imaging, sensory and morphological based techniques for water quality indices. These physical and chemical parameters are typically derived from spectral data which are not always available or accessible across all satellite images and are specific. The present work in this paper proposes a generic approach to delineate water bodies from satellite images captured by Earth observation satellite Sentinel 2 using image filtering techniques combined with Mathematical Morphological operations. The Filtering Techniques include Bilateral, Median and Clahe filters, followed by a sequence of Mathematical Morphological operations including Tophat Transform, Hysteresis Thresholding, Dilation and Morphological Reconstruction. The proposed method offers average Accuracy of 89.57%, Precision of 90.28%, Recall of 81.43% and F1 score of 0.85 in simulation of 36 water body images as compared to the results of conventional filtering technique which reported Accuracy of 62.57%, Precision of 55.22%, Recall of 83.61% and F1 score of 0.61. In addition, the proposed method offers fast computation, lightweight architecture and is effectively applied on a wide range of satellite images, ensuring reliable and robust water body detection.