To　make　full　use　of　the　advantages　of　the　high　spatial　resolution　of　Landsat,　along　with　the　high　temporal　resolution　of　MODIS,　we　applied　the　spatial　and　temporal　adaptive　reflectance　fusion　model　(STARFM)　by　means　of　comparing　the　difference　of　the　spectral　response　functions,　as　well　as　normalizing　the　similar　bands　between　these　two　types　of　sensors,　to　construct　a　time　series　images　with　high　spatial　resolution　in　this　paper.　In　this　research,　the　experiments　were　carried　out　on　the　TM　and　MODIS　images　in　the　Yongtai　area　of　Fuzhou　city.　The　results　show　that:　1)　in　terms　of　spatially　manner,　the　predicated　data　well　reflected　the　spatial　details　difference　of　the　high　resolution　remote　sensing　imagery　by　analyzing　the　difference　in　histogram　between　the　real　data　and　the　predicated　data;　2)　in　terms　of　timely　manner,　the　predicated　data　retained　the　time　change　trend　of　high　temporal　remote　sensing　imagery　by　comparing　the　values　of　NDVI　between　the　MODIS　image　and　the　predicated　image.　©　2011　IEEE.