IGSNRR OpenIR
A Quantile Approach for Retrieving the "Core Urban-Suburban-Rural" (USR) Structure Based on Nighttime Light
Huang, Yaohuan1,2; Wu, Chengbin1,2; Chen, Mingxing1,2; Yang, Jie1,2; Ren, Hongyan1
2020-12-01
Source PublicationREMOTE SENSING
Volume12Issue:24Pages:16
Corresponding AuthorWu, Chengbin(wucb.l9s@igsnrr.ac.cn)
AbstractAccurate and timely information on the "core urban-suburban-rural" (USR) spatial structure in a metropolitan region is significant for both the scientific and policy-making communities. However, USR is usually considered as a single land use type, such as an impervious area, rather than three combined subcategories in remote-sensing image retrieval, especially for suburban areas, which obscures the details of the urbanization process. In this paper, we propose a quantile approach to retrieve the structure of USR based on stable nighttime light (NTL) data from the Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS) and apply it in the Beijing-Tianjin-Hebei (JJJ) of China from 1995 to 2013. The key parameters of the NTL threshold, which is the maximum change point of the NTL intensity at the USR boundary, used to retrieve the three subcategories of USR are automatically defined based on the quantile approach with three iterations. Then, the overall accuracy and consistency of the retrieval results are evaluated using the corresponding visual interpretation map from Landsat images with a 30 m resolution. Moreover, the influence of parameter uncertainty is compared by introducing the human settlement index (HSI). According to the time-series analysis of USR retrieval in this study, the JJJ experienced rapid urbanization from 1995 to 2013, with the core urban area expanding by 7098 km(2) (average increase of 2.7 times), the suburban area expanding by 12,690 km(2) (average increase of 2.8 times), and the rural area increasing by 4986 km(2) (average increase of 0.38 times). The USR results retrieved based on the approach agree well with the validation of the visual interpretation map, with an overall accuracy (OA) of 0.904 and a kappa coefficient (KC) of 0.650 at the city level. The USR result with the HSI as the input shows that NTL is more suitable for USR structure retrieval as the NTL shows less uncertainty compared with other parameters such as the vegetation index (VI). This study proposes an improved quantile approach for USR mapping from NTL images on a regional scale, which will provide a useful method for urbanization dynamics analysis.
Keywordnighttime lights (NTL) quantile approach subcategories core urban-suburban-rural (USR)
DOI10.3390/rs12244179
WOS KeywordDMSP-OLS ; CHINA ; INDEX ; URBANIZATION ; AGREEMENT ; DYNAMICS ; RECORD ; MODIS ; AREA
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41822104] ; National Key Research and Development Program of China[2017YFB0503005] ; National Key Research and Development Program of China[2016YFC0401404] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19040402] ; China high-resolution earth observation system[21-Y20B01-9001-19/22]
Funding OrganizationNational Natural Science Foundation of China ; National Key Research and Development Program of China ; Strategic Priority Research Program of the Chinese Academy of Sciences ; China high-resolution earth observation system
WOS Research AreaEnvironmental Sciences & Ecology ; Remote Sensing
WOS SubjectEnvironmental Sciences ; Remote Sensing
WOS IDWOS:000603300800001
PublisherMDPI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/136551
Collection中国科学院地理科学与资源研究所
Corresponding AuthorWu, Chengbin
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Coll Resource & Environm, Beijing 100049, Peoples R China
Recommended Citation
GB/T 7714
Huang, Yaohuan,Wu, Chengbin,Chen, Mingxing,et al. A Quantile Approach for Retrieving the "Core Urban-Suburban-Rural" (USR) Structure Based on Nighttime Light[J]. REMOTE SENSING,2020,12(24):16.
APA Huang, Yaohuan,Wu, Chengbin,Chen, Mingxing,Yang, Jie,&Ren, Hongyan.(2020).A Quantile Approach for Retrieving the "Core Urban-Suburban-Rural" (USR) Structure Based on Nighttime Light.REMOTE SENSING,12(24),16.
MLA Huang, Yaohuan,et al."A Quantile Approach for Retrieving the "Core Urban-Suburban-Rural" (USR) Structure Based on Nighttime Light".REMOTE SENSING 12.24(2020):16.
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