Land use and cover change in coal mining area by IFZ and NDVI

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.