遥感和GIS支持下的城市植被生态效益评价

应用生态学报 ›› 2003, Vol. ›› Issue (12): 2301-2304.

遥感和GIS支持下的城市植被生态效益评价

韩红霞¹, 高峻^1,2, 刘广亮³

1. 上海师范大学地理系, 上海 200234;
2. 中国科学院沈阳应用生态研究所, 沈阳 110016;
3. 上海同异城市设计有限公司, 上海 200092

收稿日期:2003-03-25 修回日期:2003-09-24 出版日期:2003-12-15
通讯作者: 韩红霞,女,1977年生,硕士生,主要从事城市生态学和城市环境方向研究,发表论文2篇.Tel:021-64324946,E-mail:hanhongxia77520@sina.com.
基金资助:
国家自然科学基金重点项目(90102004);上海市教委科学技术发展基金资助项目(10D01)

Ecological benefit assessment of urban vegetations by remote sensing and GIS

HAN Hongxia¹, GAO Jun^1,2, LIU Guangliang ³

1. Geography Department, Shanghai Normal University, Shanghai 200234, China;
2. Institute of Appled Ecology, Chinese Academy of Sciences, Shengyang 110016, China;
3. Shanghai Tongyi Urban Design Ltd., Shanghai 200092, China

Received:2003-03-25 Revised:2003-09-24 Online:2003-12-15

摘要/Abstract

摘要： 在综合国内外的城市植被生态效益研究的基础上,指出运用遥感和GIS技术将能更有效地进行植被生态效益的评价.文中介绍了美国AMERICANFORESTS协会在进行城市和区域的植被生态效益研究中所采用的城市生态系统分析法(UEA),以及在ARC/VIEW地理信息系统软件基础上开发的Citygreen模块的基本特点及其应用,以期促进遥感和GIS技术在我国城市植被生态效益定量评价中的应用,以及区域的可持续发展和生态建设.

Abstract: As an important part of the urban ecosystem, urban vegetation plays an important role in improving urban environmental quality. The assessment of ecological benefits of urban or regional vegetations can help us more properly plan urban green space pattern, optimize urban vegetation structure, and further strengthen ecological construction. Through the discussion of the relevant researches at home and abroad, it's indicated that remote sensing and GIScould help us better evaluate the ecological effect of urban vegetations. This article introduced the UEAmethod adopted by AMERICAN FORESTS and CITY green software working with Arc View 3.2,as to make the best use of remote sensing and GISin evaluating urban vegetation ecological effect quantitatively, and to promote sustainable development and ecological construction.

中图分类号:

Q948

韩红霞, 高峻, 刘广亮. 遥感和GIS支持下的城市植被生态效益评价[J]. 应用生态学报, 2003, (12): 2301-2304.

HAN Hongxia, GAO Jun, LIU Guangliang . Ecological benefit assessment of urban vegetations by remote sensing and GIS[J]. Chinese Journal of Applied Ecology, 2003, (12): 2301-2304.

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