摘要： The spectrum of water is directly related to the composition of the water, so water quality can be estimated by spectral reflectance. In this paper, the inversion model of water quality parameters for remote sensing images is established, based on which the status of water pollution is analyzed. Firstly, the spectral information of water in studied area is extracted from remote sensing images. Then, the relationship between spectral reflectance and water quality parameters is modeled. The model is evaluated by the fitting SSE (Sum of the Squared Errors), R-square, RMSE (the Root Mean Squared Errors) and Adjusted R-square. When R-square and Adjusted R-square are close to 1 and the SSE and RMSE are close to 0, inversion model is considered to be built up successfully. The experiments are conducted on 14 Landsat 8 OLI images in recent four years and the results show that the model method can realize the analysis and monitoring of the water quality. The R-square of the permanganate and dissolved oxygen were 0.96 and 0.80 respectively, which satisfied the requirements of the application.