ABSTRACT
The deteriorating water quality in almost all the water systems of the world is an alarming concern for scientists throughout the world. Therefore, identification of the contaminants, the contribution of different sources of pollution and to keep its track in real-time is a challenging task. Continuous and accurate monitoring of large-scale waterbodies with limited resources can be effectively managed through remote sensing technologies. Satellite imaging can help us develop an integrated water quality monitoring data- base for effective assessment and management of our precious resources. The water quality parameters help in deciding the suitability of particular water to its best possible use based on its quality. The satellite remote sensing helps to acquire information on the water quality parameters based on the optical properties of water has proved to be a great boon to provide real-time synoptic view for mapping the water quality parameters. With the improvement in technological developments in sensor technology in terms of resolutions and accuracy, i.e., the latest hyperspectral imaging, improved algorithms, availability of data, use of artificial intelligence 150and neural networks have enabled us in monitoring not only the optically active water quality parameters, but also the distribution of optically inac- tive water quality parameters. In this chapter will discuss in brief about the principle behind the estimation of different water quality parameters using remote sensing, the type of sensors employed both spaceborne and airborne and different approaches used to estimate various types of water quality parameters.
