River Water Pollution Analysis using High Resolution Satellite Images : A Survey

Abstract

River water is one of the essential components for the ecological environment, which plays a main role in human survival and socioeconomic development. The quality of river water is essential because river water is generally used for multiple purposes such as for drinking, agriculture, hydroelectric power plants, etc. Therefore, it is necessary to identify the water pollution regions of river. Researchers have attempted an analysis of river water using high-resolution satellite images and machine learning concepts. This paper presents a survey of solutions that use various image processing tasks and machine learning concepts to detect pollution in river water. In this survey, we carried out a useful analysis of various satellite sensors, image processing techniques, and classifiers used for classification of river water.