To obtain more robust inversion models of Suspended Particular Matters (SPM) in water and reduce the influence of the modeling data error on the accuracy of an algorithm, six empirical, semi-empirical and semi-analysis models of single-band and corresponding band ratio parameters are used in the data sets measured in high turbidity water at Yangtze River estuary by different instruments in different cruises. The role of band ratio parameters in robustness improvement of the SPM inversion model is analyzed. The results show that the models using band ratio parameters have much higher accuracy than the corresponding single-band model. In the data sets obtained in May and December 2014, some single-band models are invalid with the highest accuracy no more than 0.5. However, the modeling accuracy of the corresponding band ratio models is about 0.8. In addition, when the models are used in the OLI images from Landsat 8, the validation accuracy of band ratio models is higher than that of the single-band models as well. The results confirm that the use of the band ratio parameters can enhance the robustness of inversion models when the SPM concentration is inverted in high turbidity water.