In response to the need of inversing the sea surface salinity in coastal area with high precision,this paper builds a salinity inversion model based on multivariate statistical regression analysis,and inverses the salinity of the waters near Palawan Island by using the MERIS and MODIS satellite imagery,respectively.Then,the accuracy of the inversion results is compared with the measured Argo data,and the spatio-temporal distribution of salinity in the study area is analyzed.It shows that:1)the inversion errors of MERIS and MODIS data are-2.94%and 1.86%,respectively,showing a higher precision of the model. Meanwhile,the correlation coefficient R~2 of 0.79indicates a strong applicability of the inversion model.2)By comparison,the inversion effect of MODIS data is better than that of MERIS data.3)The sea surface salinity of the study area exists an obvious seasonal variation,presenting a trend of increasing from the west to the east,possibly resulting from the climate change, temperature change,and the geographical location of the study area.