Marshland Water Quality Modelling Based on Optical Remote Sensing

The advances made in water quality modeling using remote sensing data and information systems coupled to decision support systems in the management process are increasingly being recognized. This work combines the optical remote sensing tools with water quality modeling to develop a computational framework for decision support system concerning surface water quality management in marshes. It also explores the development in these tools to solve particular water quality problems. The main scope of the integration is to clearly understand the water quality of different types of connected water bodies in marshes. This integration is expected to provide a precise assessment of the water quality problems and to develop remedial management actions for environmental protection in the future.