Use Remote Sensing, GIS and Regression Analysis in Monitoring Water Quality of Al-Gharraf River Southern of Iraq

Water quality of Al-Gharraf River, the largest branch of Tigris River south of Iraq, was evaluated using the first seven bands Landsat-8 OLI images acquired on 19 January 2017, 24 April 2017, 14 July 2017 and 20 November 2017, at twenty-one measured stations along the Al-Gharraf River. The multiple linear regression models were developed to found the relationship between the water quality parameters (CHL-a, DOM, NTU, TSS, and TDS), as independent variables and Landsat 8 OLI spectral data as dependent variables. Among these models, the most appropriate models with highest R2 value were selected. Once the developed models applied in order to have maps with a variation of colors can be used to estimate the water quality classification at any point along the river.