Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.landurbplan.2018.03.008 |
A new approach for urban-rural fringe identification: Integrating impervious surface area and spatial continuous wavelet transform | |
Peng, Jian1; 39;na2 | |
2018-07-01 | |
发表期刊 | LANDSCAPE AND URBAN PLANNING |
ISSN | 0169-2046 |
EISSN | 1872-6062 |
出版年 | 2018 |
卷号 | 175页码:72-79 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China |
英文摘要 | Urban-rural fringe is the frontier of urban expansion and the most dynamic area in urban region. Identifying the urban-rural fringe accurately is of great significance, as it helps to measure the extent of urbanization and its environmental effects from the urban-rural contrast perspective. However, traditional studies with spatial discrete data and threshold methods make it difficult to identify its boundary objectively and accurately. To solve this problem, a new approach was proposed in this study, integrating the spatial continuous data of impervious surface area (ISA) and the method of spatial continuous wavelet transform (SCWT). Taking Beijing City, one of the largest city in China, as a case, this study identified the boundary of urban-rural fringe, which extended mainly in the southwestern and northeastern direction, with the area increased by 18.75% between 2009 and 2014. The accuracy of the identification result was verified by spatial differentiation characteristics of nighttime light and normalized difference vegetation index. Meanwhile, when compared with the subjective threshold method, it showed that SCWT could identify the fringe more accurately. And the ISA based identification result was more consistent with the actual spatial patterns of urban development in Beijing City than land use degree index based one, which showed the remotely sensed spatial continuous data performed more effectively well on identifying the urban-rural fringe. The proposed approach can identify the urban-rural fringe directly from remote sensing images, which is of great significance to quickly urbanization monitoring and thus sustainable urban planning and management. |
英文关键词 | Urban-rural fringe Spatial continuous wavelet transform Impervious surface area Beijing City, China |
领域 | 资源环境 |
收录类别 | SCI-E ; SSCI |
WOS记录号 | WOS:000431748200007 |
WOS关键词 | KERNEL DENSITY-ESTIMATION ; COVER CLASSIFICATION ; LAND-COVER ; URBANIZATION ; RESOLUTION ; PATTERN ; IMPACT ; CHINA |
WOS类目 | Ecology ; Environmental Studies ; Geography ; Geography, Physical ; Regional & Urban Planning ; Urban Studies |
WOS研究方向 | Environmental Sciences & Ecology ; Geography ; Physical Geography ; Public Administration ; Urban Studies |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/25250 |
专题 | 资源环境科学 |
作者单位 | 1.Peking Univ, Coll Urban & Environm Sci, Lab Earth Surface Proc, Minist Educ, Beijing 100871, Peoples R China; 2.Peking Univ, Shenzhen Grad Sch, Sch Urban Planning & Design, Key Lab Environm & Urban Sci, Shenzhen 518055, Peoples R China |
推荐引用方式 GB/T 7714 | Peng, Jian,39;na. A new approach for urban-rural fringe identification: Integrating impervious surface area and spatial continuous wavelet transform[J]. LANDSCAPE AND URBAN PLANNING,2018,175:72-79. |
APA | Peng, Jian,&39;na.(2018).A new approach for urban-rural fringe identification: Integrating impervious surface area and spatial continuous wavelet transform.LANDSCAPE AND URBAN PLANNING,175,72-79. |
MLA | Peng, Jian,et al."A new approach for urban-rural fringe identification: Integrating impervious surface area and spatial continuous wavelet transform".LANDSCAPE AND URBAN PLANNING 175(2018):72-79. |
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