[Objective] The spatial distribution of vegetation on both annual and seasonal scale was illustrated, and the correlations between NDVI and climate factors, including air temperature, precipitation and the lag of NDVI were analyzed. Upon these, we aimed to provide some references for the monitoring and protection of eco-environment and sustainable development of vegetation.[Methods] MODIS13Q1 data published by NASA in 2000-2013 and the meteorological data monitored by sites of Jiangsu Province in 1999-2013 were used. Methods of maximum value synthesis, trend line analysis and Pearson correlation analysis on seasonal and annual scale were applied. [Results] (1) As a whole, vegetation NDVI in the 14 year long interval in Jiangsu Province showed a declining tendency on different tempo-spatial scales. (2) Due to the influence of the climate events, like El Nino or La Nina events and so on, NDVI fluctuated on seasonal and annual scale. (3) NDVI showed a one-month lag of response to precipitation change, while the changes of NDVI and temperature synchronized largely, only a 1-month lag was observed in summer. [Conclusion] From temporal scale, decreasing tendencies of NDVI were observed on the annual scale and in the seasonal periode of autumn. while on the seasonal scale of spring and summer it tended to go high. From the spatial scales, the vegetation coverage in the west of Jiangsu Province was significantly better than those in the eastern coastal plain and in the middle and lower reaches of the Yangtze River. NDVI showed significant correlations with climate factors on the seasonal and annual scale, especially with air temperature.