Analysis of River Water Quality Using Geo-Spatial and Temporal Data: A Case study

The conventional approach of water quality assessment via sampling followed by laboratory measurement methods comprises the analysis of different properties such as chemical, physical. The main idea behind detection of water quality parameters using imaging is based on the presence of pollutants in water and absorption of the incoming solar radiation. In this study, by considering data of the conventional water quality testing,an attempted is made to identify the association between the laboratory results and the indices and bands values obtained from spatial data, to determine their applicability in water quality estimation and prediction. The study makes use of two types of data, visually, spatial and non-spatial data. The spatial data used was Landsat-8 OLI from which the water index was calculated. While under non-spatial data ancillary information and water parameters were considered. Based on the analysis an approach was made to find the relation between Water Quality Index and spatial parameters. Further, a model was established to estimate WQI from spatial data.