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Based on the phenological regularity of rubber plantation and availability of data, this paper selected the Landsat satellite remote sensing data at 7 phases in America from 1976 to 2010 and combined and object-oriented classification. This means to set threshold based on vegetation index and carry out the decision tree classification first, and then use the decision tree classification results to mask. Then conduct multi-scale segmentation for images in the mask areas with object-oriented method, and carry out feature statistics for the sample plot to extract the information of rubber forest and some young growth with the classification accuracy over 84%. Combined with DEM data, it analyzed the historical succession and special distribution pattern of rubber plantation according to a time serious from altitude, slope, and aspect. The results show that the planting area of rubber forest has increased by 154 times during the 35 years and rubber planting plots gradually evolve from the low-altitude hills, gentle slope, sunny slope into high-altitude area, abrupt slope and shady areas. Keywords-remote sensing, rubber plantation, historical succession, spatial distribution pattern, Xishuangbanna

Research on the Historical Succession and Spatial Distribution Pattern of Rubber Plantation in Xishuangbanna Based on Remote Sensing