【摘要】 介绍了中德合作项目“土地利用规划与可持续发展—南京江宁秦淮河流域研究”(英文缩写为 SIL UP)的部分研究内容 ,在小流域尺度上重点论述了遥感与 GIS在土地利用与可持续发展研究中的技术与方法。利用 SPOT卫星资料 ,建立了基于知识的光谱特征扩展遥感模型 ,提取了土地利用信息 ,取得了较好的分类结果。利用地理信息系统技术建立了可持续发展信息系统 ,实现了用最终决策分类矩阵 FCM(Final Classification Matrix)进行综合土地利用规划的设计思路更多还原

【Abstract】 According to the Sino Germany International Cooperation Project:"the Sustainable Development by Integrated Land Use Planning (SDILUP)"of Jiangning county,FCM (Final Classification Matrix) approach was used.The core idea of the FCM approach is to classify each small lot of land (e.g.at the hectare level) with regard to its double values derived from its "ecological value"and from the"socio economic needs"to which it is exposed in a concrete situation. The techniques of remote sensing and GIS were used to establish the spatial database,which have direct implications on data requirements of FCM approach.In this paper,some comprehensive methods and techniques of extracting information,especially an improved method of land use/land cover classification using SPOT images and ancillary data were described and tested.In classification,the SPOT data and digital elevation model were tested using MLC clustering.Incorporation of slop data was found to be able to improve the classification accuracy.The study also puts forward techniques of screen display editing to produce land use maps.更多还原