Mapping and evaluating global urban entities (2000–2020): A novel perspective to delineate urban entities based on consistent nighttime light data

Kaifang Shia Key Laboratory of Earth Surface Processes and Regional Response in the Yangtze-Huaihe River Basin, Anhui Normal University, Wuhu, Anhui Province, China;b Chongqing Jinfo Mountain Karst Ecosystem National Observation and Research Station, School of Geographical Sciences, Southwest University, Chongqing, ChinaCorrespondence[email protected]

https://orcid.org/0000-0001-9047-2885 View further author information

Yizhen Wub Chongqing Jinfo Mountain Karst Ecosystem National Observation and Research Station, School of Geographical Sciences, Southwest University, Chongqing, ChinaView further author information

Shirao Liub Chongqing Jinfo Mountain Karst Ecosystem National Observation and Research Station, School of Geographical Sciences, Southwest University, Chongqing, ChinaView further author information

Zuoqi Chenc The Academy of Digital China, Fuzhou University, Fuzhou, ChinaView further author information

Chang Huangd College of Urban and Environmental Sciences, Northwest University, Xi’an, ChinaView further author information

Yuanzheng Cuie College of Hydrology and Water Resources, Hohai University, Nanjing, ChinaCorrespondence[email protected]
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Mapping and evaluating global urban entities (2000–2020): A novel perspective to delineate urban entities based on consistent nighttime light data

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Mapping and evaluating global urban entities (2000–2020): A novel perspective to delineate urban entities based on consistent nighttime light data

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