Abstract: Based on the normalized vegetation index (NDVI) data of SPOT remote sensing images in Beijing from 2000 to 2015, combined with the data of climate factors such as temperature, precipitation and sunshine duration, univariate linear regression analysis, trend analysis, coefficient of variation and second-order partial correlation coefficient were used to analyze the correlation between temporal-spatial changes of NDVI and climate factors in Beijing.The change of vegetation cover in Beijing in the past 16 years showed a slow fluctuation and upward trend.The low vegetation coverage area was mainly distributed in the central urban area, and the high vegetation coverage area was mainly distributed in the outer suburbs.The area with increasing NDVI accounted for 73.09% of the total area, and the vegetation coverage level was improved.In most areas, the fluctuation of NDVI was small, and the areas with severe fluctuation were mainly concentrated in Dongcheng District and Xicheng District.According to the partial correlation coefficient and its significance, it is concluded that precipitation had the greatest impact on NDVI, followed by temperature and sunshine duration.