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Water quality analysis of Aksu-Tarim River based on remote sensing data

The development of multi-band remote sensing techniques has facilitated extracting various parameters of water quality and water pollution. This paper analyzes the water quality of Aksu-Tarim River in Xinjiang, China with remotely sensed data from the Landsat TM Satellite. Through the DN (Averaged Pixel digital number) of wave and routine data monitoring, a model of monitoring the pollutants is developed. The model can reflect conditions of water quality. Results from the water quality interpreted with remotely sensed images are closely related to the results of the routine data collected in 2000. The model can be used to predict the water quality of rivers and it provides an efficient and economical alternative to monitor water quality.