太阳成8722(中国)有限公司-GREEN NO.1

标题：Multi-order Landscape Expansion Index: Characterizing urban expansion dynamics作者：Jiao, Limin; Mao, Lifan; Liu, Yaolin

来源出版物：LANDSCAPE AND URBAN PLANNING 卷：137 页：30-39 DOI：10.1016/j.landurbplan.2014.10.023 出版年：MAY 2015

摘要：Most of the landscape metrics used in urban expansion studies are capable of reflecting the spatial characteristics for individual time points, but are not efficient to capture the integrated information from time series data. A few spatial metrics, for example, Landscape Expansion Index (LEI), are calculated based on two-time-point data. These metrics are insufficient for the analysis of urban expansion dynamics based on multi-temporal data. In this study, we propose an improved spatial metric, Multi-order Landscape Expansion Index (MLEI), to measure the expansion degree of newly grown urban patches by considering their relationships with old patches and their spatial context in the process of urban expansion. A case study is conducted in Wuhan, a fast-growing metropolis in central China, based on remote sensing images from three time points (2000, 2005 and 2010). The MLEI map in 2010 clearly shows the areas that have experienced expansive growth. The greatest difference between MLEI and LEI occurs where outlying clusters are formed gradually through time. Some spatial analysis methods are applied on the MLEI map in 2010 to delineate outlying urban clusters in urban expansion. The map of urban clusters clearly shows the spatial heterogenicity of urban expansion and the most expansive areas in Wuhan. This study suggests that MLEI is capable to capture multi-temporal information, and can be used to characterize the spatial structure of urban expansion dynamics.

入藏号：WOS:000351647700004

文献类型：English

语种：Article

作者关键词：Multi-order Landscape Expansion Index, Landscape metrics, Urban sprawl, Multi-temporal remote sensing images, Urban clusters

扩展关键词：SPATIOTEMPORAL DYNAMICS; METROPOLITAN REGION; PATTERN; GROWTH; SPRAWL; GIS; COALESCENCE; ENTROPY; METRICS; COUNTY

通讯作者地址：Jiao, Limin; Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

电子邮件地址：Imjiao027@163.com; 81011312@qq.com; Yaolin610@163.com

地址：

[Jiao, Limin; Mao, Lifan; Liu, Yaolin] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

[Jiao, Limin; Mao, Lifan; Liu, Yaolin] Wuhan Univ, Minist Educ, Key Lab Geog Informat Syst, Wuhan 430079, Peoples R China.

研究方向：Environmental Sciences & Ecology; Geography; Physical Geography; Urban Studies

ISSN：0169-2046

eISSN: 1872-6062