生态学杂志2012，Vol.31Issue(2)：440-445,6.
基于遥感的广州市城市绿地生态服务功能评价
Evaluation on ecological services of urban green space in Guangzhou City of South China based on remote sensing
摘要
Abstract
Based on the TM image data and field observation data, and by using remote sensing quantitative inversion models, the land surface parameters affecting the ecological services of urban green space in Guangzhou City, e. G. , leaf area index, vegetation index, soil moisture content, land surface albedo, and land surface temperature, were extracted. Each of these parameters was evaluated and graded by using Neural Network technology, and a multiple factor comprehensive evaluation of the urban ecosystem services in the City was conducted by fuzzy clustering. The results showed that the ecological services of the green space were weak. There was a great difference in the distribution of green space among each urban area, and the spatial arrangement was unreasonable. The area of the green space with the first degree ecological services was 2.1 km2, only accounted for 0.4% of the total, while the area of the green space with the second, third, and fourth degrees ecological services accounted for 2. 4% , 5. 0% , and 2. 9% , respectively.关键词
城市绿地/生态服务功能/评价/遥感模型Key words
urban green space/ecological services/evaluation/remote sensing model分类
天文与地球科学引用本文复制引用
徐剑波,刘振华,宋立生,胡月明..基于遥感的广州市城市绿地生态服务功能评价[J].生态学杂志,2012,31(2):440-445,6.基金项目
国家自然科学基金项目(41061024)和广东省科技计划项目(2009B020315012)资助. （41061024）
