In order to indicate the trend of vegetation change and the driving factors in Karst region, the slope of normalized difference value index (NDVI) change trend and the correlation analysis of pixel by pixel were used to analyze the NDVI change trend and driving factors of different vegetation based on the SPOT-VEG NDVI data and combined with vegetation type, meteorological data and rocky desertification data. The results showed that: (1) The NDVI of Guizhou Province presented an increase trend from 2000 to 2013, in which it presented a significant increase during 2000 to 2007 and the ratio of change was 0.25/10 a (r~2=0.923); while the growth slowed from 2008 to 2013 and the ratio of change was 0.02/10 a (r~2=0.381). (2) The NDVI of artificial vegetation grew fastest with the speed of 0.17/10 a (r~2=0.813), the secondly was the shrub land and grass with the speed of 0.13/10 a (r~2=0.85). The NDVI of trees and bamboo forest was almost invariant. (3) The climate change in Guizhou was dry-cool and precipitation influenced more than temperature. There was no significant negative correlation between NDVI and the annual precipitation and the annual mean temperature. (4) By pixel and pixel analyzing the artificial vegetation, precipitation and temperature, the ratio of negative correlation was bigger which reached to 20% and 15% respectively. The negative correlation ratio of shrub land and grass was bigger than positive correlation which reached to 16% and 17% respectively. On contrast, the tree's positive correlation ratio was bigger in which that of river valley monsoon forest reached to 48%. And (5) in those areas of higher intensity human activities such as urban periphery and rocky desertification management regions, the NDVI change was significant correlated with urban expanding, afforestation and rocky desertification restoration areas. Therefore, in these areas, the vegetation change was mainly attributed to human activities. However when human activities induced less, the climate change restricted the trend of vegetation change. To analyze the relationship between vegetation change and the climate change from the macroscopic angle, the influence weight of human action and climate change must be identified.