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| 基于RS与GIS技术的北京城市公园湿地景观格局研究 | |
| 引用本文： | 谢志茹,罗德利,张景春,隆学文.基于RS与GIS技术的北京城市公园湿地景观格局研究[J].国土资源遥感,2004,15(3):61-64. |
| 作者姓名： | 谢志茹 罗德利 张景春 隆学文 |
| 作者单位： | 1. 首都师范大学资源环境与地理信息系统重点实验室,北京,100037;福建省测绘局第一测绘院,福州,350001 2. 北京市市政专业设计院有限责任公司,北京,100037 3. 西北勘测设计研究院,兰州,730050 4. 首都师范大学资源环境与地理信息系统重点实验室,北京,100037 |
| 基金项目： | 北京市重点实验室开放基金项目; 北京市自然科学基金项目(200000511);北京市自然科学基金项目(60032003). |
| 摘 要： | 城市公园湿地景观的空间格局分析是城市湿地生态系统研究的重要内容。本研究尝试应用1m分辨率的IKONOS遥感图像,利用RS、GIS等先进技术,获取城市公园湿地景观数据。运用景观生态学的原理,采用多样性指数、优势度指数、破碎化指数和斑块的分数维等空间结构指标,对北京市城市公园湿地的景观格局进行了研究和分析。 |
| 关 键 词： | 城市公园湿地 遥感图像 数据融合 景观 空间格局 |
| 文章编号： | 1001-070X(2004)03-0061-04 |
| 收稿时间： | 2003-11-03 |
| 修稿时间： | 2003年11月3日 |
A STUDY OF THE WETLAND SPATIAL PATTERN OF BEIJING PARKS BASED ON RS AND GIS TECHNOLOGY |
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| XIE Zhi-ru.A STUDY OF THE WETLAND SPATIAL PATTERN OF BEIJING PARKS BASED ON RS AND GIS TECHNOLOGY[J].Remote Sensing for Land & Resources,2004,15(3):61-64. | |
| Authors: | XIE Zhi-ru |
| Institution: | 1. Resources Environment and GIS Key Iab of Beijing, Capital Normal University, Beijing 100037, China; 2. Beijing Municipal professional Design Institute Co.,GTD, Beijing 100037, China; 3. Northwest Investigation and Design Institute, Lanzhou 730050, China; 4. The First Institute of Fujian Provincial Bureau of Surveying and Mapping, Fuzhou 350001, China |
| Abstract: | The IKONOS image provides the 1m high spatial pan and the 4m multi-spectral data, which can be merged to improve the classification accuracy of visual or computational interpretation. Based on these images, the classification and distribution of wetlands in Beijing urban parks were examined. In this paper the authors studied the landscape patterns with the help of remote sensing and GIS. The result shows that the urban parks are composed of large patches. The shapes of patches are regular in the area, and the difference in patches of the same type is very indistinct. With the increasing disturbance, the landscape diversity decreases and the dominance increases. |
| Keywords: | Wetland of urban park Remote sensing image Data fusion Landscape Spatial pattern |
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