Abstract: Chlorophyll is one of the main parameters of water quality monitoring in coastal waters of China.The remote sensing inversion of its concentration is an important index to monitor the water optical characteristics and evaluate water pollution.In this study, quasi-synchronous Landsat-8/OLI, FY-3A/MERSI and HJ-1B/CCD remote sensing images are used, and combined with the in-situ chlorophyll-a concentration and water spectral characteristics in 2016, a semi-empirical and semi-analytical inversion model of chlorophyll-a concentration in Jiaozhou bay is established.The research shows:the inversion model with the highest correlation coefficient is derived from Landsat-8, the determinant coefficient, R², between the in-situ data and predicted values of the optimal model is >0.86.Furthermore, the inversion effect is satisfied, and the results can be well adapted to the inversion of chlorophyll-a concentration in Jiaozhou bay.The optimum band combination of landsat 8 is:February Band4/Band2, R²=0.83;May(Band3)^-1-(Band4)^-1*Band5, R²=0.80;August(Band2)^-1-(Band3)^-1* Band4, R²=0.78;November(Band4)^-1-(Band2)^-1* Band1, R²=0.86.