Abstract: Aiming at the effects of cloud cover on image quality, put forward and use a method based on time-varying consistency of NDVI, The Landsat TM/ETM+/OLI data of Guizhou Maolan nature reserve in recent 18 years are used to build a relatively complete vegetation index time series in the study area, small regional scale for the long time series of vegetation cover change research, and adopts univariate linear regression model and correlation analysis to explore the vegetation coverage change trend in the study area and its response to meteorological factors relationship.The conclusion is that the time-varying consistency of NDVI processing method can effectively eliminate the influence of cloud cover.Recently 18 a vegetation cover in the study area is in good condition and is on a slow rising trend. There is a significant positive correlation between climate factors and vegetation cover change, in which the influence of average temperature is the strongest in that month, while the influence of precipitation and average relative humidity is lagging behind.

Key words: vegetation coverage, time variation, NDVI, cloud cover