In this paper, time-series LAI was retrieved from 46 MODIS images in Jiangxi province, and the images were obtained every 8 days from January 1, 2001 to the end of that year. The curve of time-series LAI was used to detect the land cover and use. Based on the hyperspectral analytical system, the authors used minimum noise fraction rotation(MNF) to extract noise from data, and employed pixel purity index(PPI) to extract the end-member of the chief land type. In this way, the land types of Jiangxi province could be classified and mapped. The classification result was verified by using the 1︰100 000 land use/cover vector map of Xingguo county in 2000, and the classification precision was above 74.45%. The result shows that the application of time-series chart to classification is effective.