Regional and clear data sets on a specified date is difficult for Landsat 5 because of low temporal resolution（ 16 d）. In this study

we develop a spatial-temporal fusion algorithm based on semi-physical model-multiplicative modulation fusion algorithm and generate synthetic multi-temporal Landsat 5 TM / ETM + reflectance data with the help of multi-temporal MODIS r eflectance data. A regional scaled data set of surface reflectance with high spatial and temporal resolution is retrieved after image mosaicking.In this study

we generate three temporal Landsat 5 TM reflectance data that cover Jilin Province in China by utilizing Landsat 5 TM surface reflectance data

and the 500 m MOD09A1 reflectance products were collected from 2006 to 2011. Surface reflectance mosaic data that cover the study area were then derived. Primary analysis shows that the generated Landsat 5 TM r eflectance data have good agreement with the MOD09A1 reflectance data in spectral distribution features

and color distribution appears to be uniform（ no obvious color differences）.