Acquiring　the　real　and　accurate　spatial　distribution　of　rice　planting　in　the　agricultural　area　of　the　basin　is　the　precondition　of　implementing　precision　agricultural　management,　and　the　basis　of　building　the　database　of　agricultural　non-point　source　pollution　risk　control　and　management.　In　order　to　overcome　the　characteristics　of　scattered　rice　distribution　in　southern　China,　such　as　small　planting　area,　and　instantaneous　and　periodicity　of　satellite　sensor　imaging,　ESTARFM　model　was　used　to　fuse　NDVI　data　of　MODIS09A1　and　Landsat　8.　The　NDVI　image　data　with　both　high　spatial　resolution　and　high　temporal　resolution　were　obtained　after　fused.　The　conditions　and　thresholds　of　decision　tree　classification　method　were　determined　with　the　help　of　curve　feature　information　of　NDVI　indices　of　various　crops　in　the　growing　period.　The　main　results　as　follows:　The　spatial　distribution　of　paddy　ecosystem　was　extracted　by　multi-source　data　fusion　and　decision　tree　classification　to　meet　the　accuracy　verification　requirements;　three　cropping　patterns,　early　rice,　middle-season　rice　and　late　rice　were　extracted.　©　Published　under　licence　by　IOP　Publishing　Ltd.