Based on GIMMS NDVI3g (the third generation of Global Inventory Modeling and Mapping Studies Normalized Difference Vegetation Index) data, combinedwith trend analysis, Mann-Kendall trend test and Pearson correlation analysis, the characteristics of vegetation change in different time scales (year, monthand season) and its relationship with the climate factors in the Weihe River Basin from 1982 to 2015 were identified. The results show that NDVI indicate an increasetrend in the Weihe River Basin in the past 34 years, and an increase tread of NDVI from 2000 to 2015 is significantly higher than that from 1982 to 1999, andthe slope of the trend line are 0.003 and 0.001. The vegetation cover was significantly improved after returning farmland to forest. There is a significant positive correlationbetween the mean annual NDVI and temperature, while the positive correlation between mean annual NDVI and precipitation is weak. The mean monthlyNDVI is significantly and positively correlated with the temperature or precipitation, and the correlation coefficients are 0.926 and 0.743. There is a significant positivecorrelation between NDVI and temperature in spring and autumn. The correlation between NDVI and temperature or precipitation in summer is not obvious,and there is a certain lag in NDVI and early temperature in winter.