A classification method of decision tree for multi-spectral images，which combines the spectral features with the texture features is presented. The Landsat-7 images are taken as the experiment data，the integrated thresholds of the various ground objects are determined by analyzing characteristic values of the Landsat-7 images spectrum，NDVI，NDWI and NDBI. Meanwhile，the texture information of images including the contrast，entropy，homogeneity and correlation are acquired by means of using Gray Level Co-occurrence Matrices. On this basis the Landsat-7 images are classified by the decision tree classification method. The results indicate that the accuracy of decision tree classification based on spectral and texture features is higher than that of the maximum likelihood and traditional decision tree method.