| The study on the method of extracting change information from land use / cover is the kernel content and key technique, this article is based on remote sensing data of the middle resolution as main data source, aims at different zoology district and goal characteristic, develops :he decision-tree method of extracting of LUCC information based on del-imination in different district technology, realizes auto-find and extraction and automatic flow of expression types.The author mostly carries on the study as follows:1. Established the synthetic database which are based on remote-sensing data and survey in the field;2. Realized the extracting flow of LUCC information automatically;3. Developed methods of auto-find change information based on middle resolution remote-sensing data;4. Synchronized the outcome of unsupervised classification and decision-tree classification based on expert knowledge efficiently, built the model of decision-tree classification in test areas.5. The technology of decision-tree is applied to methods of the extracting change information, with the multi-source, multi-time remote-sensing data and other data as the foundation, the decision-tree model of the change transformation type is constructed;6. Taking the area of Shiyanghe drainage being in the west of China and local area of Hebei and Neimeng as research district, based on methods of multi-layer in different district technology and decis on-tree, has finished and extracted land use /land cover' s classification and LUCC information from remotely sensed data of 2-3 times since 1980, and they are expressed by a matrix of the relationship of change transformation. The precision evaluation shows that the precision of classification and change types exceeds 80%. Examples prove that the adopted method and technology improve the level of autoimmunization and precision of LUCC information extraction, and can be generalized in a larger scope.
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