Water is an important natural resource that essential to human survive and the environmental health. In India since the past few decades, the increasing activities of population and of industrial area have affects more to water quality. Generally Water quality is depending upon the change of climate and mainly chemical, physical and biological characteristics of water bodies. According to the Maharashtra Pollution Control board (MPCB) there are some predefined water quality criteria's and on the basis of that criteria, collection and integration of data from different resources through Remote Sensing helps to monitor water quality. For collecting and managing a Remote Sensed data there are different techniques are provided by Geographic Information System(GIS) with Data Mining Tools.
This paper examines how the different ways of spatial data utilization are works in combination of geospatial techniques with diverse data mining tools such as Cluster Analysis and Factor Analysis. This data mining tools with remote sensing application will help to enhance decision making of all over the area and environment.