Remote sensing plays an important role in desertification monitoring.The traditional remote sensing information of desertification automatic extraction method is image segmentation based on spectral characteristics.Influenced by various factors

the improvement of class precision encounters barrier

and the knowledge-based classifying method comes into being.CART is a kind of non-parameter classification and regression method

which uses multi-source data to improve classification accuracy when used in automatic classification based on remote sensing images.After analyzing the principle of CART method

we put spectral knowledge

texture knowledge

and vegetation coverage together into CART model

the deficiency of simply using spectral characteristics is overcome

and an accuracy of 85.94% is obtained.