Since remote sensing was deployed to monitor fluctuation in vegetation at the Earth’s surface, Estimation of vegetation fractional coverage (VFC) in connection with drivers played a necessary significance in global energy cycle, ecological systems and climatic model simulation. This study addresses some categories of datasets that were derived from the MODIS NDVI1 images, DEM and Land Cover Data during of 11 years in Guangdong Province, China. Here, we just focus on major changes of VFC in relation to Physiographic factors such as slope and elevation in 2000, 2005, 2010, besides VFC dynamics of different land-use types in 2000, 2004-2006, 2009, and finally VFC dynamics by city positions in 2000, 2005, 2010. The VFC was directly calculated from NDVI images, and time series analysis of VFC was predicted subsequently. VFC dynamics were handled by Arc GIS along slope, elevation, different land-use types, and consequently VFC dynamics by city positions. These pathways indicated that vegetation fractional coverage projections of the future role of land-use changes in Southeast Asia must not only capture the complex socio-economic and human drivers of land-use change, but also account for the specific physiographic conditions under which the drivers of change operate. This recognition requires moving beyond some of the simplifications that persist in much of the current understanding of the causes of land use and land cover change. © 2018 CEUR-WS. All rights reserved.