This paper provides a preliminary overview of vegetation green wave change analysis using a time series remote sensing data in China. A series of 12 monthly average NDVI data

which is derived from NOAA AVHRR data is used in this study. The research result shows that the vegetation green wave change is different along the longitude and latitude during the year. Along the same longitude

vegetation change is closely corresponded to the seasonal change law. The higher the latitude is

the greater the scope of seasonal changes. Along the same latitude the vegetation index change is closely related to precipitation change during the year. The result of greenness classification for each monthly NDVI image also shows that in summer

the high green wave classes occupy most area of China; in opposite

brown wave classes occupy most of territory of China in winter.