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南京市城市绿地现状遥感分析
引用本文:周文佐,潘剑君,刘高焕.南京市城市绿地现状遥感分析[J].遥感技术与应用,2002,17(1):22-26.
作者姓名:周文佐  潘剑君  刘高焕
作者单位:(1.南京农业大学资源与环境学院,江苏南京 210095; 2.中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室,北京 100101)
基金项目:国家自然科学基金项目 497710 43资助
摘    要:应用TM影像对南京城市景观生态格局进行研究并对研究方法进行了探讨。为了提取正确的生态绿地专题信息,对提取的方法进行了探讨。研究中尝试用NDVI波段及其它波段组合对南京城市植被进行解译,效果较好。研究结果表明,南京生态绿地分布很不平衡。紫金山区的林地占主体,而繁华的中心城区,生态绿地相对总体绿地来说占据的面积很少。提出了南京生态绿地建设的合理化建议。

关 键 词:绿地  遥感图像  南京  
文章编号:1004-0323(2002)01-0022-05
修稿时间:2001年10月22

Analysis of Ecological Vegetation in Nanjing City
ZHOU Wen\|zuo\\{,\},PAN Jian\|jun\,LIU Gao\|huan\.Analysis of Ecological Vegetation in Nanjing City[J].Remote Sensing Technology and Application,2002,17(1):22-26.
Authors:ZHOU Wen\|zuo\\{  \}  PAN Jian\|jun\  LIU Gao\|huan\
Affiliation:(1.College of Resource and Environmental Sciences,Nanjing Agric Univ,Nanjing210095,China; 2.Lab of Resource and Environmental Information System,Chinese; Academy of Sciences,Beijing100101,China)
Abstract:Ecological vegetation features were studied using remote sensing and geographic information system technology in Nanjing city and methods of research were discussed. In order to derive proper vegetation information from TM image data, several means were tried in this study. Among them, the NDVI band was tested with other bands and the result showed it was useful for lessening affection of hypsography of mountains on remotely sensed image data. The study showed that distribution state of vegetation in Nanjing city is extremely un\|even. Woodland of Zijin Mountain accounts for principal part of the total ecological vegetation. But the area of ecological vegetation in flourishing central city is especially lacking comparatively. Spatial information technology, such as remote sensing and geographic information system, is effective in planning and extensive studying ecological vegetation in city in order to provide scientific suggestion for improving ecological environment. Based on the study, rational advice was brought forward for vegetation planning and construction in Nanjing city.
Keywords:Ecological vegetation    Remotely sensed image data    Nanjing
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