Abstract: In order to better monitor the growth state of rubber trees, and objectively and accurately get geographic location information of rubber tree planting, asymmetric Gaussian function was used to filter MODIS EVI time series data on Hainan Island, phenological characteristic parameters were defined, and characteristic parameters of each pixel was calculated; change rules for key phenological characteristic parameters of crops in sample region of rubber trees on Hainan Island were summarized and analyzed based on MODIS EVI data; a planting information extraction algorithm for rubber trees on Hainan Island was established based on aforesaid characteristic parameters, and extraction results were expressed by mixed pixel classification method of different proportions. Planting information for rubber trees in 2011 was extracted based on the extraction algorithm, and accuracy test and practicability evaluation to the algorithm were conducted using validation data. Test result showed that the algorithm could reach an average classification accuracy of 85.97%, thus applicable for extracting planting information of rubber trees.