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Chinese Academy of Sciences Institutional Repositories Grid
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  2. 烟台海岸带研究所
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  4. 中科院海岸带环境过程与生态修复重点实验室
  5. 海岸带信息集成与综合管理实验室
Multi-temporal remote sensing of land cover change and urban sprawl in the coastal city of Yantai, China

文献类型：期刊论文

作者Yu, Xinyang1,2; Zhang, Anding1; Hou, Xiyong2; Li, Mingjie2,3; Xia, Yingxiao4
刊名INTERNATIONAL JOURNAL OF DIGITAL EARTH
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
ISSN号1753-8947
其他题名Neutral poly- and perfluoroalkyl substances in air and seawater of the North Sea.pdf
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.
学科主题Geography, Physical ; Remote Sensing
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
收录类别SCI
资助信息Knowledge Innovation Program of the Chinese Academy of Sciences [kzcx2-yw-224]; National Natural Science Foundation of China [40801016]; Natural Science Foundation of Shandong Province [ZR2009EM005]
原文出处http://dx.doi.org/10.1080/17538947.2011.653995
语种英语
WOS记录号WOS:000328468000009
公开日期2014-07-08
源URL[http://ir.yic.ac.cn/handle/133337/7000]  
专题烟台海岸带研究所_海岸带信息集成与综合管理实验室
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
推荐引用方式
GB/T 7714		 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.
APA Yu, Xinyang,Zhang, Anding,Hou, Xiyong,Li, Mingjie,&Xia, Yingxiao.(2013).Multi-temporal remote sensing of land cover change and urban sprawl in the coastal city of Yantai, China.INTERNATIONAL JOURNAL OF DIGITAL EARTH,6(SI),137-154.
MLA Yu, Xinyang,et al."Multi-temporal remote sensing of land cover change and urban sprawl in the coastal city of Yantai, China".INTERNATIONAL JOURNAL OF DIGITAL EARTH 6.SI(2013):137-154.

入库方式： OAI收割

来源：烟台海岸带研究所

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