The north-south transect of tastern China (NSTEC) was a typical ecologcal region which was mostly driven by heat and varied with its vegetation along with latitude.In-depth knowing of the NSTEC will enhance our understanding of global change along with global warming.In this paper,NOAA-AVHRR data was used to get the vegetation index across the NSTEC.Then a regression model was built to get the Net Primary Productivity (NPP) from it.Since the research area covered from 118°E to 128°E,40°N to 50°N,and from 108°E to 118°E,17.5°N to 40°N,to precisely acquire the NPP distribution pattern of the whole area,different vegetation indices were compared according to different land surface.Then three regression models were deduced for NPP.Finally,a NPP adjusting scheme was used to get a general NPP distribution map from the three regression results.The achievements well reflect the distribution character of NPP along the NSTEC and would support further analysis and simulation in land ecology system study and global change research.
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