Advanced  
YIC-IR  > 海岸带信息集成与综合管理实验室  > 期刊论文
题名:
Multi-temporal remote sensing of land cover change and urban sprawl in the coastal city of Yantai, China
其他题名: Neutral poly- and perfluoroalkyl substances in air and seawater of the North Sea.pdf
作者: Yu, Xinyang1,2; Zhang, Anding1; Hou, XiYong(侯西勇)2; Li, Mingjie2,3; Xia, Yingxiao4
刊名: INTERNATIONAL JOURNAL OF DIGITAL EARTH
ISSN号: 1753-8947
出版日期: 2013-10-10
卷号: 6, 期号:SI, 页码:137-154
关键词: land cover change ; urban sprawl ; multi-temporal remote sensing ; coastal city
学科分类: Geography, Physical ; Remote Sensing
产权排序: [Yu, Xinyang; Zhang, Anding] Ludong Univ, Dept Geog & Planning, Yantai, Peoples R China; [Yu, Xinyang; Hou, Xiyong; Li, Mingjie] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai, Peoples R China; [Li, Mingjie] Ctr Mat & Coastal Res, Inst Coastal Res, Opt Remote Sensing Dept, Helmholtz Zentrum Geesthacht, Geesthacht, Germany; [Xia, Yingxiao] Land & Resource Bur, Branch Yantai, Muping, Peoples R China
通讯作者: Zhang, AD (reprint author), Ludong Univ, Dept Geog & Planning, Yantai, Peoples R China. andingzhang@sina.com
中文摘要: The importance of accurately mapping and monitoring land cover changes over time is increasing, especially in rapidly growing coastal cities. In this study, three pairs of Landsat images of Yantai, a representative coastal city in China, from 1989, 1999, and 2009 were selected to monitor land cover changes and urban sprawl dynamics. To improve the classification accuracy, three classification methods together with the minimum noise fraction (MNF) and pixel purity index (PPI) calculations were performed on the images. The classification results showed that the overall five-class classification accuracies averaged 91.38% for the 20-year period, which produced an accuracy of 83.78% for change maps. The analysis of change maps indicated that from 1989 to 2009, the percentage of urban area increased from 31.41% to 50.28% of the total area, and the newly urbanized area was mainly located in residential areas and the reclaimed harbor region. Analysis of the relationships between urban area and its driving forces obtained from statistical data found that the urban sprawl of Yantai before 2000 was relatively extensive, which is consistent with the conclusion drawn by using remote sensing techniques. The research results could be used as inputs for sustainable urban management and establishing Digital Earth database.
英文摘要: The importance of accurately mapping and monitoring land cover changes over time is increasing, especially in rapidly growing coastal cities. In this study, three pairs of Landsat images of Yantai, a representative coastal city in China, from 1989, 1999, and 2009 were selected to monitor land cover changes and urban sprawl dynamics. To improve the classification accuracy, three classification methods together with the minimum noise fraction (MNF) and pixel purity index (PPI) calculations were performed on the images. The classification results showed that the overall five-class classification accuracies averaged 91.38% for the 20-year period, which produced an accuracy of 83.78% for change maps. The analysis of change maps indicated that from 1989 to 2009, the percentage of urban area increased from 31.41% to 50.28% of the total area, and the newly urbanized area was mainly located in residential areas and the reclaimed harbor region. Analysis of the relationships between urban area and its driving forces obtained from statistical data found that the urban sprawl of Yantai before 2000 was relatively extensive, which is consistent with the conclusion drawn by using remote sensing techniques. The research results could be used as inputs for sustainable urban management and establishing Digital Earth database.
研究领域[WOS]: Physical Geography ; Remote Sensing
关键词[WOS]: SUPPORT VECTOR MACHINES ; ZHUJIANG DELTA ; GIS ; CLASSIFICATION ; IMAGERY ; IMPACT ; URBANIZATION ; EXPANSION ; DYNAMICS ; SYSTEM
文章类型: Article
收录类别: SCI
原文出处: 查看原文
语种: 英语
WOS记录号: WOS:000328468000009
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.yic.ac.cn/handle/133337/7000
Appears in Collections:海岸带信息集成与综合管理实验室_期刊论文

Files in This Item:

There are no files associated with this item.


作者单位: 1.Ludong Univ, Dept Geog & Planning, Yantai, Peoples R China
2.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai, Peoples R China
3.Ctr Mat & Coastal Res, Inst Coastal Res, Opt Remote Sensing Dept, Helmholtz Zentrum Geesthacht, Geesthacht, Germany
4.Land & Resource Bur, Branch Yantai, Muping, Peoples R China

Recommended Citation:
Yu, Xinyang,Zhang, Anding,Hou, Xiyong,et al. Multi-temporal remote sensing of land cover change and urban sprawl in the coastal city of Yantai, China[J]. INTERNATIONAL JOURNAL OF DIGITAL EARTH,2013,6(SI):137-154.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Yu, Xinyang]'s Articles
[Zhang, Anding]'s Articles
[Hou, Xiyong]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Yu, Xinyang]‘s Articles
[Zhang, Anding]‘s Articles
[Hou, Xiyong]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 

Valid XHTML 1.0!
Copyright © 2007-2018  中国科学院烟台海岸带研究所 - Feedback
Powered by CSpace