Prediction Framework for Water Quality Parameters Monitoring via Remote Sensing

Water quality monitoring is an important issue of worldwide concern to investigate if the water quality measurements are suitable for national standards or not. Remote sensing data can be used to effectively assess water sources. Different sensors are recently used for water quality investigation; these sensors are differed according to their spectral, spatial, and temporal properties. This paper proposes a framework for future enhancement for water quality monitoring using remote sensing. The authors evaluate and analyze most of the recent methodologies that used remote sensing for monitoring the water quality parameters in terms of benefits and limitations. Five quality parameters are examined including 1) optical parameters (Chlorophyll-a (Chi-a), Total Suspended Sediments (TSS), and turbidity), and 2) non-optical parameters (Total Phosphorus (TP) and Total Nitrogen (TN)).