中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Using Dual Spatial Clustering Models for Urban Fringe Areas Extraction Based on Night-time Light Data: Comparison of NPP/VIIRS, Luojia 1-01, and NASA's Black Marble

文献类型:期刊论文

作者Zhu, Jie4; Lang, Ziqi4; Wang, Shu3; Zhu, Mengyao4; Na, Jiaming1,2,4; Zheng, Jiazhu4
刊名ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
出版日期2023-10-01
卷号12期号:10页码:22
关键词urban fringe night-time light data dual spatial clustering Nanjing city
DOI10.3390/ijgi12100408
通讯作者Na, Jiaming(jiaming.na@njfu.edu.cn)
英文摘要Night-time light data (NTL) have been extensively utilized to map urban fringe areas, but to date, there has not been a comprehensive evaluation of the existing spatial clustering methods for delineating the urban fringe using different types of night-time light data. Therefore, we first selected three popular sources of night-time light data (i.e., NPP/VIIRS, Luojia 1-01, and NASA's Black Marble) to identify the urban fringe. The recognition of spatial mutations across the urban-rural gradient was conducted based on changes in night light intensity using a spatial continuous wavelet transform model. Then, we employed three representative dual spatial clustering approaches (i.e., MK-Means, DBSC, and DSC) for extracting urban fringe areas using different NTL. By using dual spatial clustering, the spatial patterns of the mutation points were effectively transformed into homogeneous spatially adjacent clusters, enabling the measurement of similarity between mutation points. Taking Nanjing city, one of China's megacities, as the study area, we found that (1) Compared with the fragmented and concentrated results obtained from the Luojia 1-01, NASA's Black Marble and NPP/VIIRS data can effectively capture the abrupt change of urban fringes with NTL variations; (2) DSC provided a reliable approach for accurately extracting urban fringe areas using NASA's Black Marble data.
WOS关键词DYNAMICS ; CITY ; SETTLEMENT ; ALGORITHM ; DMSP/OLS
资助项目The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
WOS研究方向Computer Science ; Physical Geography ; Remote Sensing
语种英语
出版者MDPI
WOS记录号WOS:001093658600001
资助机构The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
源URL[http://ir.igsnrr.ac.cn/handle/311030/199537]  
专题中国科学院地理科学与资源研究所
通讯作者Na, Jiaming
作者单位1.Nanjing Normal Univ, Minist Educ, Key Lab Virtual Geog Environm, Nanjing 210023, Peoples R China
2.Anhui Prov Key Lab Phys Geog Environm, Chuzhou 239004, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
4.Nanjing Forestry Univ, Coll Civil Engn, Nanjing 210037, Peoples R China
推荐引用方式
GB/T 7714
Zhu, Jie,Lang, Ziqi,Wang, Shu,et al. Using Dual Spatial Clustering Models for Urban Fringe Areas Extraction Based on Night-time Light Data: Comparison of NPP/VIIRS, Luojia 1-01, and NASA's Black Marble[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2023,12(10):22.
APA Zhu, Jie,Lang, Ziqi,Wang, Shu,Zhu, Mengyao,Na, Jiaming,&Zheng, Jiazhu.(2023).Using Dual Spatial Clustering Models for Urban Fringe Areas Extraction Based on Night-time Light Data: Comparison of NPP/VIIRS, Luojia 1-01, and NASA's Black Marble.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,12(10),22.
MLA Zhu, Jie,et al."Using Dual Spatial Clustering Models for Urban Fringe Areas Extraction Based on Night-time Light Data: Comparison of NPP/VIIRS, Luojia 1-01, and NASA's Black Marble".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 12.10(2023):22.

入库方式: OAI收割

来源:地理科学与资源研究所

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