Abstract: 【Objective/Meaning】With the support of remote sensing and GIS technology, by using the NDVI data of NASA/GIMMS from 1982 to 2015, the temporal and spatial variation characteristics of vegetation cover in Xinzhou City of Shanxi Province from 1982 to 2015 were analyzed, and the climate change rules were obtained to highlight its regional environmental significance. 【Methods/Procedures】By using the maximum synthesis method, the unary linear regression method and the correlation analysis method are, combined with the meteorological data of China Meteorological Sharing Network, the relevant data were processed and analyzed through the ArcGIS and Excel software. 【Results/Conclusions】The results showed that: (1) The average monthly NDVI of the vegetation growing season (April to October) in Xinzhou City from 1982 to 2015 showed an overall increase trend with a high growth rate, and also showed an increase trend in space. (2) The characteristics of climate change in Xinzhou City from 1982 to 2015 were as follows: In time, the temperature was mainly increased, and the precipitation changes were relatively stable. In space, the climate change in the western region of Xinzhou City was smaller than that in the eastern region, and the climate change in the mountainous region was smaller than that in the basin and river basin, and the precipitation value showed a decreasing trend from southeast to northwest. (3) Temperature and precipitation were the main driving forces for the spatial and temporal changes of NDVI during the vegetation growing season (April to October) from 1982 to 2015 in Xinzhou City, and both the temperature and precipitation have increased, which have a positive effect on the growth of vegetation. In particular, the increase of temperature had an obvious effect on the growth of vegetation, while the spatial-temporal change of precipitation had a smaller effect on the growth of vegetation.