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 |
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 | |
发表期刊 | INTERNATIONAL JOURNAL OF DIGITAL EARTH |
ISSN | 1753-8947 |
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 |
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 |
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.; 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. |
文章类型 | Article |
资助机构 | 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] |
收录类别 | SCI |
语种 | 英语 |
关键词[WOS] | SUPPORT VECTOR MACHINES ; ZHUJIANG DELTA ; GIS ; CLASSIFICATION ; IMAGERY ; IMPACT ; URBANIZATION ; EXPANSION ; DYNAMICS ; SYSTEM |
研究领域[WOS] | Physical Geography ; Remote Sensing |
WOS记录号 | WOS:000328468000009 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.yic.ac.cn/handle/133337/7000 |
专题 | 中国科学院海岸带环境过程与生态修复重点实验室_海岸带信息集成与战略规划研究中心 |
通讯作者 | Zhang, AD (reprint author), Ludong Univ, Dept Geog & Planning, Yantai, Peoples R China. andingzhang@sina.com |
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,&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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