中文摘要：

为了将宏观模糊的农业种植结构定量、准确、直观地反映出来，本文运用MODIs植被指数对作物生长规律分析，并与决策树分类系统相结合，成功提取了河北省黑龙港区域的冬小麦、棉花、夏玉米、花生、果树和蔬菜的分布信息。研究结果表明：当采用基于决策树系统的TM影像与MODIS—EVI影像相结合的分类方法精度较高，总体精度可达91．3%，蔬菜、小麦、棉花、玉米等4种作物较传统影像监督分类的结果分别提高了13．8％、2．0%、1．3％、20．5％。

英文摘要：

In order to express the macroscopic and fuzzy crop planting structure with quantitative, ac- curate and intuitive description, this paper used the method of integrating the multi-temporal and full-cov- ered MODIS and medium resolution sample TM data, through the human-computer interaction means, which is the combination of analysis of MODIS vegetation indices on the crop growth laws and decision tree classification system. At last, the distribution information of winter wheat, cotton, maize, peanuts, fruit and vegetables which in Heilonggang was extracted successfully. The results showed that the accuracy of classification used by combination of TM images based on decision tree system and MODIS _ EVI images could be up to 91.5%, and comparing with traditional image supervised classification results, those of veg- etables, wheat, cotton, corn and maize could increase by 13.8%, 2.0%, 1.3% and 20.5% respectively.