remotesensingbasedartificialsurfacecoverclassificationinasiaandspatialpatternanalysis

	remotesensingbasedartificialsurfacecoverclassificationinasiaandspatialpatternanalysis
	Kuang Wenhui 3; Chen Lijun 4; Liu Jiyuan 3; Xiang Weining 5; Chi Wenfeng 3; Lu Dengsheng 1; Yang Tianrong 3; Pan Tao 2; Liu Ailin 3
刊名	sciencechinaearthsciences
	2016
卷号	59 期号:9 页码:1720
ISSN号	1674-7313
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.
资助项目	[National Natural Science Foundation of China] ; [National High Technology Research and Development Program of China] ; [State Key Development Program for Basic Research of China]
语种	英语
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/91346]
专题	中国科学院地理科学与资源研究所
作者单位	1.浙江农林大学 2.中国科学院新疆生态与地理研究所 3.中国科学院地理科学与资源研究所 4.National Geomatics Center of China 5.华东师范大学
推荐引用方式 GB/T 7714	Kuang Wenhui,Chen Lijun,Liu Jiyuan,et al. remotesensingbasedartificialsurfacecoverclassificationinasiaandspatialpatternanalysis[J]. sciencechinaearthsciences,2016,59(9):1720.
APA	Kuang Wenhui.,Chen Lijun.,Liu Jiyuan.,Xiang Weining.,Chi Wenfeng.,...&Liu Ailin.(2016).remotesensingbasedartificialsurfacecoverclassificationinasiaandspatialpatternanalysis.sciencechinaearthsciences,59(9),1720.
MLA	Kuang Wenhui,et al."remotesensingbasedartificialsurfacecoverclassificationinasiaandspatialpatternanalysis".sciencechinaearthsciences 59.9(2016):1720.