To combine the high spatial resolution of Landsat and high temporal resolution of MODIS data

We selected an 18 km×18 km study area in upper reaches of Guanting reservoir.A new method—Spatial and Temporal Adaptive vegetation index Fusion Model（STAVFM） for blending NDVI of different spatial and temporal resolutions to produce high temporal-spatial resolution NDVI dataset has been developed based on STARFM（Spatial and Temporal Adaptive Reflectance Fusion Model）. STAVFM defined a time window according to the temporal variation of vegetation

put the vegetation phenophase into consideration and improve the temporal weighting algorithm.The result shows that the new method can combine the temporal information of MODIS NDVI and spatial difference information of ETM NDVI and can predict the missed ETM NDVI with a high accuracy（the correlation coefficients of three pairs of observed and predicted ETM NDVI are 0.82

0.90 and 0.91）.A high temporal and high spatial resolution NDVI dataset is constructed

which maintains the temporal trend of high temporal resolution data and the detailed spatial difference information of high spatial resolution data.