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Urban-rural land use plan is the foundation of healthily and orderly sustainable development of urbanization and the monitoring of plan implementation is considered as the guarantee. The association of remote sensing and GIS is one of rapid and effective monitoring method for urban-rural land use plan implementation which strongly strengthens the dynamic management of land use plan implementation. We used high spatial resolution remote sensing imagery—WorldView2 with resolution of 0.5m and the objectoriented image analysis method to achieve the classification. The features and thresholds were determined with CART decision tree in objectoriented rule classification. On the basis of classification results, the completion rate of land plan for each plan patch was computed with the monitoring and evaluation of land use plan implementation. Finally, a subdistrict of Fangshan District,Beijing City was taken as the study area to illustrate the method. The results showed that the final overall accuracy of classification was 089 and Kappa coefficient was 0.87. The proposed classification algorithm can meet the basic needs of urbanrural land use plan monitoring. The implementation of land use plan in northeast study area is better than that in the west. The public green land and water area need to be investigated and monitored further as the key objects, at the same time, the density of second type residential building is a little high, while the green landrate is low.