Abstract: Based on the China environment and disaster reduction satellite data from Yucheng study area in Shandong Province, the four vegetations (NDVI, RVI, SAVI, and EVI) were calculated. The estimation precision of the four vegetation indexes model for the summer maize was compared by the regression analysis of the vegetation indexes with the survey data and integrated the synchronization observation data. The results indicated those vegetation indexes with high relation to FPAR; the NDVI was the top inversion precision, the optimum model to estimate the summer maize was FPAR, the model validation mean error was 3.8%. That is, the model with high precision and using the model to inverse the September FPAR of Yucheng research region in Shandong Province .