YIC-IR  > 海岸带信息集成与战略规划研究中心
Multi-temporal remote sensing of land cover change and urban sprawl in the coastal city of Yantai, China
Alternative TitleNeutral poly- and perfluoroalkyl substances in air and seawater of the North Sea.pdf
Yu, Xinyang1,2; Zhang, Anding1; Hou, Xiyong2; Li, Mingjie2,3; Xia, Yingxiao4; Zhang, AD (reprint author), Ludong Univ, Dept Geog & Planning, Yantai, Peoples R China. andingzhang@sina.com
2013-10-10
Source PublicationINTERNATIONAL JOURNAL OF DIGITAL EARTH
ISSN1753-8947
Volume6Issue:SIPages:137-154
Contribution Rank[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
AbstractThe 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.; 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.
KeywordLand Cover Change Urban Sprawl Multi-temporal Remote Sensing Coastal City
Subject AreaGeography, Physical ; Remote Sensing
Funding OrganizationKnowledge 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]
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Indexed BySCI
WOS KeywordSUPPORT VECTOR MACHINES ; ZHUJIANG DELTA ; GIS ; CLASSIFICATION ; IMAGERY ; IMPACT ; URBANIZATION ; EXPANSION ; DYNAMICS ; SYSTEM
SubtypeArticle
Language英语
Funding Project海岸带信息集成与综合管理实验室
WOS Research AreaPhysical Geography ; Remote Sensing
WOS IDWOS:000328468000009
Citation statistics
Cited Times:10[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.yic.ac.cn/handle/133337/7000
Collection海岸带信息集成与战略规划研究中心
Corresponding AuthorZhang, AD (reprint author), Ludong Univ, Dept Geog & Planning, Yantai, Peoples R China. andingzhang@sina.com
Affiliation1.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
First Author AffilicationYantai Institute of Coastal Zone Research, Chinese Academy of Sciences
Recommended Citation
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,&Zhang, AD .(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.
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