In this paper, we analyzed the spatial distribution of vegetation change and its relationship with climate factors by using remote sensing data of MODIS-NDVI and the meteorological data of 34 weather stations in Beijing-Tianjin Sand Source Region from 2000 to 2008. In another word, the spatial and temporal variation of vegetation cover was estimated quantitatively and then the significant correlation between the vegetation and rainfall, temperature and relative humidity were calculated by the correlation coefficients and the significance test in the study area. The results showed that the vegetation of Beijing-Tianjin Sand Source Region increased overall, the rising area is up to 74%, and the significantly increased is up to 9.83%. The climate change is not strong as a whole, and there is some fluctuant rising trend for rainfall and temperature. Rainfall in the growing season had high correlation with the maximum NDVI, those were consistent as a whole, 80.11% area is positive correlation, and 3.17% is significant positive correlation. The correlation between rainfall and NDVI are not fully synchronized and significant, since it may be disturbed by the non-engineering and engineering human factors.