In view of the existing problems in the study of forest site type classification and site quality evaluation

based on the ecology and landscape ecology theory

this paper deals with a new method to accomplish the forest site type classification

site quality evaluation

and automatic mapping in Beijing region using Remote Sensing（RS）

GIS

Expert System（ES） and other relevant mathematical statistics analysis. First

the principles and system of classification are determined

according to the requests of application

the results of qualitative analysis to the features of landscape

climate

landforms

terrain

soil and vegetation

qualitative and quantitative analysis to the first type and the second type survey data. Secondly

setting up the thematic maps and attributes data bases of all factors of different classification levels using GIS as platform

and accomplishing the pre-classification of every level by overlaying the thematic maps. Thirdly

with the aid of expert knowledge stored in the knowledge base and the inference mechanism of ES

compiling the pre-classification maps in the light of the conference theory; Finally

assessing the site quality of every site type using scores of the factor indices given by the experts

and creating the evaluation maps. Based on the classification and evaluation results

the users can select different sets of objects which can integrate the ecological

economic

environmental and social benefit of forest

and implement the object-oriented dynamic decision-making.