Abstract
Abstract Water is one of the most important resources for sustainability of most organisms on this planet. The most accessible form of water for the living creatures is surface water bodies. These water bodies should be monitored because they have a significant impact on any surrounding ecosystem. In Maharashtra, India, the drought condition has worsened with many areas suffering from water paucity and poor crop yield. Therefore, monitoring of these resources by using satellite images and spectral indices is of cardinal importance. In this study, we have targeted the identification of water bodies using spectral indices and comparison with pre-existing data about the surface water bodies. The spectral index chosen for detection of water content is Normalized Difference Water Index (NDWI). The results have shown that there is inconsistency in remote sensed data captured by the Sentinel- 2 and the pre-existing data about the surface water bodies.
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