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remotesensingbasedartificialsurfacecoverclassificationinasiaandspatialpatternanalysis
Kuang Wenhui1; Chen Lijun2; Liu Jiyuan1; Xiang Weining3; Chi Wenfeng1; Lu Dengsheng4; Yang Tianrong1; Pan Tao5; Liu Ailin1
2016
Source Publicationsciencechinaearthsciences
ISSN1674-7313
Volume59Issue:9Pages:1720
AbstractArtificial 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.
Language英语
Funding Project[National Natural Science Foundation of China] ; [National High Technology Research and Development Program of China] ; [State Key Development Program for Basic Research of China]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/91347
Collection中国科学院地理科学与资源研究所
Affiliation1.中国科学院地理科学与资源研究所
2.National Geomatics Center of China
3.华东师范大学
4.浙江农林大学
5.中国科学院新疆生态与地理研究所
First Author Affilication中国科学院地理科学与资源研究所
Recommended Citation
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.
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