Due to technique and budget limitations,Remotely sensed data,with high spatial and temporal resolutions, can hardly be provided by only sensor.However,the ability to monitor seasonal landscape changes at fine resolution is urgently needed for global change.One approach is toblendthe data from coarse-resolution sensors with frequent coverage(e.g.AVHRR)with data from high-resolution sensors with less frequent coverage(e.g.Landsat). To combine the high spatial resolution of Landsat and high temporal resolution of AVHRR data,this paper selected a study area in Zoige,Sichuan province,China.A method for blending NDVI of different spatial and temporal resolution to produce high temporal-spatial resolution NDVI data set which has been developed based on ESTARFM (Enhanced Spatial and Temporal Adaptive Reflectance Fusion Model).The result shows that the new method can combine the temporal information of AVHRR NDVI and spatial information of TM NDVI and realize the reconstruction of high spatial and temporal resolution NDVI data set(the correlation coefficient of three pairs of MODIS NDVI and predicted TM NDVI are 0.89,0.91 and 0.85).This method maintains the temporal trend of high temporal resolution data and the detailed spatial difference information of high spatial resolution data,thereby providing an effective tool to build a relatively high resolution NDVI time series data set.