北京山区植被覆被率遥感制图与景观格局分析——以门头沟区为例 |
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引用本文: | 李晓琴,孙丹峰,张凤荣.北京山区植被覆被率遥感制图与景观格局分析——以门头沟区为例[J].国土资源遥感,2003,14(1):23-28. |
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作者姓名: | 李晓琴 孙丹峰 张凤荣 |
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作者单位: | 中国农业大学资源与环境学院,土地资源管理系,北京,100094 |
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基金项目: | 国家自然科学基金项目(NO.30000100),北京科委重点项目(NO.95542100)和北京市自然科学基金项目(NO.4022005.6012006)资助. |
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摘 要: | 准确、快速地获取植被覆盖状况信息是北山区生态恢复和建设的关键与重点.本文在FCD Mapping model的原理和方法基础上,利用TM图像对北京门头沟区植被覆被率展开调查和制图应用研究,并利用FRAGSTATS软件对所得的植被覆盖等级图从斑块大小、斑块数、斑块密度、斑块平均面积、分形维数和聚集度等角度进行了空间格局的剖析.
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关 键 词: | 北京山区 植被覆被率 遥感制图 FCDMappingModel 景观格局 |
文章编号: | 1001-070X(2003)01-0023-06 |
收稿时间: | 2002-10-10 |
修稿时间: | 2002年10月10 |
THE APPLICATION OF REMOTE SENSING AND LANDSCAPE PATTERN ANALYSIS TO VEGETATION COVERAGE MAPPING IN MOUNTAIN AREAS OF BEIJING: A CASE STUDY OF MENTOUGOU DISTRICT |
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Institution: | College of Resources and Environment, China Agriculture University, Beijing 100094, China |
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Abstract: | Accurate and rapid monitoring of vegetation cover conditions is a key factor in land cover remote sensing monitoring in mountain areas of Beijing. Based on TMimagery data, the mapping technology of FCDmapping model was applied to Mentougou district of Beijing. The results show that the approach of remote sensing mapping is of good practical value. The accuracy of vegetation coverage estimated by FCDmapping model is some 95%, suggesting that the method is suitable to mountain areas. Moreover, the results computed from a landscape pattern analytical program FRAGSTATSby analyzing patch-sizes, number of patches, fractal dimensions and cohesion indices indicate that vegetation covers are main components of the present land cover in Mentougou of Beijing. Analyses of all these indices demonstrate that the ecological-environmental system in Mentougou mountain area is stable. The spatial structure analysis can help to identify the spatial distribution and structure stability of the vegetation coverage, and hence it is another important factor in the ecological system evaluation of Beijing mountain areas. |
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Keywords: | Mountain areas of Beijing Vegetation coverage Remote sensing mapping FCD mapping model Landscape pattern analysis |
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