In this study,the source-sink landscape theory and the minimum cumulative resistance (MCR) model were applied to evaluate vegetation status and regional division in Qinshui County on the basis of Landsat Operational Land Imager data acquired in 2016,and targeted partition controls were put forward on the basis of the regionalization results.Then,a pixel trend extrapolation model was introduced and applied to simulate status of vegetation in 2016,which was compared with the results created by dimidiate pixel model (DPM).Validations show that there were slight differences between DPM derived results and simulated images.Moreover,the pixel trend extrapolation model could lead to an RMSE (Root Mean Square Error) of 0.098 and an R 2 of 0.804 for fractional vegetation coverage (FVC) in 2016.These results suggest that the pixel trend extrapolation model could yield a reasonable result.Additionally,prediction of dynamics of vegetation status indicates that the vegetation status is being stabilized and improved after 2016,and it will reach a stable state when external disturbance factors are stable.This study unites the static patterns,ecological processes,and dynamic trends of FVC and formulates reasonable regional control measures to provide references for the effective protection of vegetation and the coordinated development of regional economic ecology.