remote sensing Article Water Quality Variability and Related Factors along the Yangtze River Using Landsat-8 Yang He 1,2, Shuanggen Jin 2,* and Wei Shang 3 1 School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China;
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[email protected]; Tel.: +86-21-3477-5292 Abstract: Chlorophyll-a (Chl-a), total nitrogen (TN), and total phosphorus (TP) are important in- dicators to evaluate water environmental quality. Monitoring water quality and its variability can help control water pollution. However, traditional monitoring techniques of water quality are time- consuming and laborious, and can mostly conduct with sample point-to-point at the edge of lakes and rivers. In this study, an empirical (regression-based) model is proposed to retrieve Chl-a, TN, and TP concentrations in the Yangtze River by Landsat-8 images from 2014 to 2020. The spatial- temporal distribution and variability of water quality in the whole Yangtze River are analyzed in detail. Furthermore, the driving forces of water quality variations are explored. The results show that the mean absolute percentage error (MAPE) of the water quality parameters are 25.88%, 4.3%, and 8.37% for Chl-a, TN, and TP concentrations, respectively, and the root mean square errors (RMSE) are 0.475 µg/L, 0.110 mg/L, and 0.01 mg/L, respectively. The concentrations of Chl-a, TN, and TP in the upstream of the Yangtze River are lower than those in the midstream and downstream.