Abstract: Spot/Vegetation NDVI (Normalized Difference Vegetation Index) data are used to estimate Leaf Area Index (LAI) in this paper. The obtained spatial and temporal vegetation data are used in macro-scale land surface hydrological model to simulate the period of 1998～2001 hydrologic processes of the Yingluoxia Basin, Heihe River. The results show that the LAI derived from LAI-NDVI model using remote sensing data well reflects the spatial and temporal distribution of real LAI. Moreover, the hydrological simulation using vegetation data from satellite images is significantly improved compared with the hydrology using VIC advised.