The use of satellite remote sensing inversion of suspended matter concentration in water bodies is of great significance in water quality monitoring and protection. In the process of suspended matter concentration inversion, it is technically difficult at present to avoid or minimize the interference of chlorophyll-a and colored dissolved organic matter (CDOM) in the water body. Aiming at the "Sustainable Development Goals scientific satellite 1" (SDGSAT-1) MII sensor and using the Hydrolight radiative transfer model, the article theoretically excavates the inversion factor that is only strongly related to suspended matter, constructs an inversion model of Lake Taihu suspended matter concentration suitable for MII images, and applies the model to both measured and sensing image data for verification. The results showed that: the inversion factor$ R'{\text{(}}{B_{\text{5}}}{\text{/}}{B_{\text{3}}}{\text{)}} $ was strongly correlated with the suspended matter concentration, while weakly correlated with chlorophyll a and CDOM concentration; the power function model constructed by using $ R'{\text{(}}{B_{\text{5}}}{\text{/}}{B_{\text{3}}}{\text{)}} $ as the inversion factor was the optimal inversion model; the power function model was applied to the measured data and the SDGSAT-1 MII data of Lake Taihu on May 4, 2022, respectively, and the two verification experiments showed that the inversion results and field measurement results had a strong consistency, and the applicability of the power function model was good. This research can provide a technical reference for the SDGSAT-1 satellite in monitoring suspended matter concentration in lake water bodies, water resources assessment , and protection, etc.