Remote sensing and Geographic Information System (GIS) are very useful tools which could be used for synoptic representation of water quality of any area (Gupta and Srivastava 2010). Land use/land cover (LULC) changes quantification through satellite remote sensing is one of the major applications; it is important for assessing global environmental change processes, supports in making policies and optimizes the use of natural resources (Srivastava et al. 2012a). The LULC types, such as agricultural land and urban area associated with human activities, often affect both
the surface and groundwater quality. Hence monitoring spatial-temporal changes is essential to understand the driving factors that influence the water quality of an area (Merchant 1994; Wu and Segerson 1995; Srivastava et al. 2013). On the other hand, GIS is an important tool for spatial analysis and integration of spatial and non-spatial data to derive useful outputs (Singh et al. 2013a) and helps in decision making. It can be used for formulating a simple and robust water quality pollution assessment tool for rapid information generation and broadcasting to water resources managers and the public (Vasanthavigar et al. 2010; Singh et al. 2012).