广州市主城区绿地信息提取及其动态变化分析

编号 lyqk004591

中文标题 广州市主城区绿地信息提取及其动态变化分析

作者 王延飞  魏安世  李伟  刘立斌  陈俊武 

作者单位 广东省林业调查规划院 广州 510520

期刊名称 中国城市林业 

年份 2014 

卷号 12

期号 2

栏目名称 城镇绿化 

中文摘要 基于广州市主城区2004年、2008年及2012年SPOT5影像数据,应用遥感分类技术中的监督分类、非监督分类以及先提取植被技术再非监督分类的方法提取广州市主城区的绿地信息,将提取的结果与森林资源二类调查档案更新资料进行比较,找出最优的分类提取方法;应用最优的绿地信息提取方法,提取广州市主城区2004年、2008年及2012年绿地信息并分析其动态变化过程。研究结果表明:1)通过先提取研究区影像植被指数然后作非监督分类的方法可以快速而准确地提取出城市绿地信息,这是一种可行的城市绿地监测手段。2)从2004-2012年,广州市主城区绿地面积明显减少,特别是在2004-2008年减幅较大,2008-2012年趋于平缓。

关键词 城市绿地  遥感影像  监督分类  非监督分类  植被指数  广州 

英文标题 Urban Green Space Information Extraction and Analysis of Its Dynamic Change Process in Guangzhou

作者英文名 Wang Yanfei, Wei Anshi, Li Wei, Liu Li bin, Chen Junwu

单位英文名 Guangdong Forestry Investigation and Planning Institute,Guangzhou 510520,Guangdong,China

英文摘要 Based on the SPOTS image data in 2004,2008 and 2012 in the urban area of Guangzhou,the information of urban green space in the city core of Guangzhou was extracted by separately using supervised classification,unsupervised classification and unsupervised classification after extraction of vegetation index images.The extraction results were compared with the data of forest resources survey for the best extraction method,which was used to extract the green space information of the city core of Guangzhou in 2004,2008 and 2012 and then analyze the dynamic change process.The results showed that:1) unsupervised classification after extraction of vegetation index images could quickly and accurately extract the city green land information,so this is a feasible means to monitor city green spaces;2)from 2004 to 2012,urban green spaces in the city core of Guangzhou were significantly reduced in area;large reduction was observed especially from 2004 to 2008,while the reduction tended to be slowed down from 2008 to 2012.

英文关键词 urban green space;remote sensing image;supervised classification;unsupervised classification;vegetation index;Guangzhou

起始页码 28

截止页码 30,63

投稿时间 2013-11-28 00:00:00

作者简介 王延飞,硕士,研究方向为森林可持续经营与规划,E-mail:530791728@qq.com

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