Abstract: Reconstruction of temporal and spatial patterns of land use and cover change by long time series data analy- sis can provide an important data support for the quantitative study of ecological processes and the evaluation of eco- system services value at regional or global scale. Taking the Appalachian coalfield segment in Wise County as a study area,based on 22 Landsat TM / ETM + images,the authors reconstructed the dynamic change characteristics of LUCC in 27 years by time-series remote sensing method with both Integrated Forest Z-score (IFZ) and Normalized Difference Vegetation Index (NDVI). Compared to traditional LUCC study,the authors delineated the LUCC types by time-serial trajectory as persisting forest (PF),persisting other vegetation (POV),persisting non-vegetation (PNV),ever mined (EM) and other disturbance ( OD),and analyzed their spatial distribution characteristics. The overall classification accuracy and Kappa coefficient are 85. 9% and 0. 852 respectively. PF,POV,PNV,OD and EM account for 66. 68% , 5. 15% ,0. 24% ,3. 63% and 23. 67% of the study area. With the decrease of coal yield in these years,EM-land growth rate decreased.