Recent developments in satellite optical remote sensors have led to a new age in surface water monitoring. Several methodologies have been developed to identify water bodies using the various spatial, spectral, and temporal properties. Surface water observation is a functional necessity for ecological and hydrological processes. Recently anticipated satellites with enhanced spectral and spatial resolution sensors might lead to broader remote sensing techniques for evaluating and monitoring water bodies. Remote sensing data integration, GPS, and GIS technology are powerful tools to monitor and analyze water bodies. Remotely sensed data could be utilized to construct a geographically positioned permanent database to give a baseline for future comparisons. For many environmental applications, surface water body mapping and monitoring are crucial. This research examines surface water detection, extraction, and monitoring with optical remote sensing, particularly progress within the recent decade. Satellite image delineation of the water body remains challenging due to sensor resolutions, cloud presence, low-albedo surfaces, topography, and atmospheric circumstances in metropolitan locations. This study shows the utility of high spatial resolutions satellite images are suitable for mapping and monitoring surface water bodies, even minor water systems. The suggested technique distinguished water from other land cover features with precision and time. The integrated use of remotely sensed data, GPS, and GIS will allow consultants and natural resource managers to construct management plans for several applications for the management of natural resources.