The EO–1 Hyperion hyperspectral data of Beijing Huairou county was filtered by band filter and used to calculate the vegetation water content index. Corn canopy water content estimation ability of normalized difference infrared index(NDII), water index(WI), normalized difference water index(NDWI), moisture stress index (MSI), normalized difference vegetation index(NDVI) and canopy structure index(CSI) was analyzed based on the coupling of leaf and canopy radioactive transfer model in this study. On the basis of the sensitivity analysis of different physical and chemical parameters, the two indexes of MCARII and NDWII were integrated to complete the estimation of the corn canopy water content. The results showed that the NDVI and CSI could not to make an estimate of corn canopy water content, and the R2 of corn canopy water content estimation by NDII, WI, NDWI, MSI were greater than 0.78, but the RMSE was 0.015, which led to a strong uncertainty for the estimation . The optimized index M?NDWI can effectively eliminate the interference of LAI, and significantly improve the estimating precision of corn canopy water content.