首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于TM影像的徐州市绿地信息提取及现状分析
引用本文:曹晓晨,景海涛,赵明富.基于TM影像的徐州市绿地信息提取及现状分析[J].苏州科技学院学报(自然科学版),2009,26(3):72-76.
作者姓名:曹晓晨  景海涛  赵明富
作者单位:徐州师范大学,测绘学院,江苏,徐州,221116
基金项目:江苏省教育厅高校自然科学基金资助项目 
摘    要:城市绿地作为城市生态系统中的一个子系统,在城市环境问题日益恶化的今天发挥着越来越重要的作用。以徐州市为例,运用TM遥感数据为数据源,通过计算相关系数,选取3种最优波段进行组合,提取城市绿地信息。结果表明:该方法对研究区绿地信息的提取有较好的效果,最后提出研究区域的绿地规划建议。

关 键 词:遥感  城市绿地  TM影像

Urban Green Land Information Retrieval and Current Situation Analysis Based on TM Image
CAO Xiao-chen,JING Hai-tao,ZHAO Ming-fu.Urban Green Land Information Retrieval and Current Situation Analysis Based on TM Image[J].Journal of University of Science and Technology of Suzhou,2009,26(3):72-76.
Authors:CAO Xiao-chen  JING Hai-tao  ZHAO Ming-fu
Institution:(School of Geodesy and Geomatics ,Xuzhou Normal University ,Xuzhou 221116 ,China)
Abstract:Urban green land, as the sub--system of city ecosystem, plays an increasingly important role as the city environment is deteriorating. Taking Xuzhou City as a case, this paper extracts the green land information and analyzes its index by applying TM remote sensing data as the data sources and computing pertinent coefficients to combine three chosen optimal bands. The results demonstrate that this method is quite effective in extracting regional green land information. Finally, this paper proposes the programming plan for the study on regional green land.
Keywords:remote sensing  urban green space  TM image
本文献已被 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号