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	Remote sensing-based artificial surface cover classification in asia and spatial pattern analysis
	Kuang WenHui1; Chen LiJun2; Liu JiYuan1; Xiang WeiNing3,4; Chi WenFeng1; Lu DengSheng5,6; Yang TianRong1,8; Pan Tao7,8; Liu AiLin1,8
刊名	Science china-earth sciences
	2016-09-01
卷号	59期号:9页码:1720-1737
关键词	Artificial surface cover City Impervious surface Vegetation cover Remote sensing classification Asia
ISSN号	1674-7313
DOI	10.1007/s11430-016-5295-7
通讯作者	Kuang wenhui(kuangwh@igsnrr.ac.cn)
英文摘要	Artificial surfaces, characterized with intensive land-use changes and complex landscape structures, are important indicators of human impacts on terrestrial ecosystems. without high-resolution land-cover data at continental scale, it is hard to evaluate the impacts of urbanization on regional climate, ecosystem processes and global environment. this study constructed a hierarchical classification system for artificial surfaces, promoted a remote sensing method to retrieve subpixel components of artificial surfaces from 30-m resolution satellite imageries (globeland30) and developed a series of data products of high-precision urban built-up areas including impervious surface and vegetation cover in asia in 2010. our assessment, based on multisource data and expert knowledge, showed that the overall accuracy of classification was 90.79%. the mean relative error for the impervious surface components of cities was 0.87. the local error of the extracted information was closely related to the heterogeneity of urban buildings and vegetation in different climate zones. according to our results, the urban built-up area was 18.18x10(4) km(2), accounting for 0.59% of the total land surface areas in asia; urban impervious surfaces were 11.65x10(4) km(2), accounting for 64.09% of the total urban built-up area in asia. vegetation and bare soils accounted for 34.56% of the urban built-up areas. there were three gradients: a concentrated distribution, a scattered distribution and an indeterminate distribution from east to west in terms of spatial pattern of urban impervious surfaces. china, india and japan ranked as the top three countries with the largest impervious surface areas, which respectively accounted for 32.77%, 16.10% and 11.93% of the urban impervious surface area of asia. we found the proportions of impervious surface and vegetation cover within urban built-up areas were closely related to the economic development degree of the country and regional climate environment. built-up areas in developed countries had relatively low impervious surface and high public green vegetation cover, with 50-60% urban impervious surfaces in japan, south korea and singapore. in comparison, the proportion of urban impervious surfaces in developing countries is approaching or exceeding 80% in asia. in general, the composition and spatial patterns of built-up areas reflected population aggregation and economic development level as well as their impacts on the health of the environment in the sub-watershed.
WOS关键词	SEMIARID URBAN LANDSCAPES ; THEMATIC MAPPER IMAGERY ; LAND-USE CHANGE ; IMPERVIOUS SURFACES ; DRIVING FORCES ; UNITED-STATES ; CHINA ; URBANIZATION ; 21ST-CENTURY ; IMPACTS
WOS研究方向	Geology
WOS类目	Geosciences, Multidisciplinary
语种	英语
出版者	SCIENCE PRESS
WOS记录号	WOS:000382669900002
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2375440
专题	中国科学院大学
通讯作者	Kuang WenHui
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 2.Natl Geomat Ctr China, Beijing 100830, Peoples R China 3.East China Normal Univ, Sch Ecol & Environm Sci, Shanghai 200241, Peoples R China 4.Univ N Carolina, Charlotte, NC 28223 USA 5.Zhejiang A&F Univ, Sch Environm & Resource Sci, Hangzhou 311300, Zhejiang, Peoples R China 6.Michigan State Univ, E Lansing, MI 48823 USA 7.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China 8.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Kuang WenHui,Chen LiJun,Liu JiYuan,et al. Remote sensing-based artificial surface cover classification in asia and spatial pattern analysis[J]. Science china-earth sciences,2016,59(9):1720-1737.
APA	Kuang WenHui.,Chen LiJun.,Liu JiYuan.,Xiang WeiNing.,Chi WenFeng.,...&Liu AiLin.(2016).Remote sensing-based artificial surface cover classification in asia and spatial pattern analysis.Science china-earth sciences,59(9),1720-1737.
MLA	Kuang WenHui,et al."Remote sensing-based artificial surface cover classification in asia and spatial pattern analysis".Science china-earth sciences 59.9(2016):1720-1737.

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