%0 Journal Article
%T Application of 3S Technology to Forest Site Type Classificationand Site Quality Evaluation in Beijing<br>应用“3S”技术进行北京市森林立地分类和立地质量评价的研究
%A Zhang Xiaoli
%A You Xianxiang
%A <br>张晓丽
%A 游先祥
%J 遥感学报
%D 1998
%I 
%X 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.
%K Site type classification
%K Site quality evaluation
%K Multi-object dynamic decisionmaking
%K RS
%K GIS
%K ES<br>立地分类，立地质量评价，多目标动态决策，遥感，地理信息系统，专家系统
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=A41A70F4AB56AB1B&jid=F926358B31AC94511E4382C083F7683C&aid=5DC7779D684248595B8F5B440BCB6F52&yid=8CAA3A429E3EA654&vid=0B39A22176CE99FB&iid=E158A972A605785F&sid=8BB50A069C48D50B&eid=E42CAFB11D4BE21A&journal_id=1007-4619&journal_name=遥感学报&referenced_num=30&reference_num=5