Abstract: Objective In order to accurately and quickly extract the information of rubber woods,a new informa-tion extraction method of rubber woods distribution was designed based on textural features and multi-spectrum features of remote sensing images with high resolution,and the detail process as follow:firstly,choose suitable vegetable index;secondly,acquire the best texture extraction window throughsemi-variance statistical analysis of the images of vegetable index and multi-spectrum and extract tex-ture information of remote sensing images;at last,build new classification rules based on texture in-formation and spectrum information of remote sensing image with high resolution and realize the newmethod by using the arithmetic of C5.0decision tree.The new method was putted in practiced in re-mote sensing images with high resolution of GuangBa farm DongFang city,HaiNan Province.The re-sults showed that the producer’s accuracy,user’s accuracy and total accuracy of rubber woods is are81.00%,82.65%,and 83.50%respectively,and the kappa coefficient is 0.78.The results that com-paring with other classification methods indicated the method is valid for rubber woods identification.