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City-Level Comparison of Urban Land-Cover Configurations from 2000-2015 across 65 Countries within the Global Belt and Road
Pan, Tao1,2; Kuang, Wenhui3; Hamdi, Rafiq4; Zhang, Chi1,5; Zhang, Shu3,6; Li, Zhili3,6; Chen, Xin3,6
2019-07-01
Source PublicationREMOTE SENSING
ISSN2072-4292
Volume11Issue:13Pages:22
Corresponding AuthorKuang, Wenhui(kuangwh@igsnrr.ac.cn)
AbstractThe configuration of urban land-covers is essential for improving dwellers' environments and ecosystem services. A city-level comparison of land-cover changes along the Belt and Road is still unavailable due to the lack of intra-urban land products. A synergistic classification methodology of sub-pixel un-mixing, multiple indices, decision tree classifier, unsupervised (SMDU) classification was established in the study to examine urban land covers across 65 capital cities along the Belt and Road during 2000-2015. The overall accuracies of the 15 m resolution urban products (i.e., the impervious surface area, vegetation, bare soil, and water bodies) derived from Landsat Enhanced Thematic Mapper Plus (ETM+)/Operational Land Imager (OLI) images were 92.88% and 93.19%, with kappa coefficients of 0.84 and 0.85 in 2000 and 2015, respectively. The built-up areas of 65 capital cities increased from 23,696.25 km(2) to 29,257.51 km(2), with an average growth rate of 370.75 km(2)/y during 2000-2015. Moreover, urban impervious surface area (ISA) expanded with an average rate of 401.92 km(2)/y, while the total area of urban green space (UGS) decreased with an average rate of 17.59 km(2)/y. In different regions, UGS changes declined by 7.37% in humid cities but increased by 14.61% in arid cities. According to the landscape ecology indicators, urban land-cover configurations became more integrated (oShannon's Diversity Index (SHDI) = -0.063; oPatch Density (PD) = 0.054) and presented better connectivity (oConnectance Index (CON) = +0.594). The proposed method in this study improved the separation between ISA and bare soil in mixed pixels, and the 15 m intra-urban land-cover product provided essential details of complex urban landscapes and urban ecological needs compared with contemporary global products. These findings provide valuable information for urban planners dealing with human comfort and ecosystem service needs in urban areas.
Keywordurban land covers remote sensing impervious surface area urban green space the Global Belt and Road
DOI10.3390/rs11131515
WOS KeywordSPECTRAL MIXTURE ANALYSIS ; IMPERVIOUS SURFACE ; SILK ROAD ; CLIMATE-CHANGE ; CHINA ; MODIS ; WATER ; FOOD ; CLASSIFICATION ; BIODIVERSITY
Indexed BySCI
Language英语
Funding ProjectStrategic Priority Research Program of Chinese Academy of Sciences, Pan-Third Pole Environment Study for a Green Silk Road (Pan-TPE)[XDA20040400] ; Taishan Scholars Program of Shandong, China[ts201712071] ; Open Fund of Shandong Provincial Key Laboratory of Water and Soil Conservation and Environmental Protection, China[STKF201937] ; Research Center for Ecology and Environment of Central Asia, Chinese Academy of Sciences, Urumqi China
Funding OrganizationStrategic Priority Research Program of Chinese Academy of Sciences, Pan-Third Pole Environment Study for a Green Silk Road (Pan-TPE) ; Taishan Scholars Program of Shandong, China ; Open Fund of Shandong Provincial Key Laboratory of Water and Soil Conservation and Environmental Protection, China ; Research Center for Ecology and Environment of Central Asia, Chinese Academy of Sciences, Urumqi China
WOS Research AreaRemote Sensing
WOS SubjectRemote Sensing
WOS IDWOS:000477049000008
PublisherMDPI
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/68758
Collection中国科学院地理科学与资源研究所
Corresponding AuthorKuang, Wenhui
Affiliation1.Linyi Univ, Shandong Prov Key Lab Water & Soil Conservat & En, Coll Resources & Environm, Linyi 276000, Shandong, Peoples R China
2.Univ Ghent, Dept Geog, B-9000 Ghent, Belgium
3.Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
4.Royal Meteorol Inst, B-1180 Brussels, Belgium
5.Chinese Acad Sci, Res Ctr Ecol & Environm Cent Asia, Urumqi 830011, Peoples R China
6.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
Recommended Citation
GB/T 7714
Pan, Tao,Kuang, Wenhui,Hamdi, Rafiq,et al. City-Level Comparison of Urban Land-Cover Configurations from 2000-2015 across 65 Countries within the Global Belt and Road[J]. REMOTE SENSING,2019,11(13):22.
APA Pan, Tao.,Kuang, Wenhui.,Hamdi, Rafiq.,Zhang, Chi.,Zhang, Shu.,...&Chen, Xin.(2019).City-Level Comparison of Urban Land-Cover Configurations from 2000-2015 across 65 Countries within the Global Belt and Road.REMOTE SENSING,11(13),22.
MLA Pan, Tao,et al."City-Level Comparison of Urban Land-Cover Configurations from 2000-2015 across 65 Countries within the Global Belt and Road".REMOTE SENSING 11.13(2019):22.
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