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Articles
Improving LSMA for impervious surface estimation in an urban area
Jin Wanga School of Geography, South China Normal University, Guangzhou, China;b Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
https://orcid.org/0000-0003-2584-9644View further author information
Yaolong Zhaoa School of Geography, South China Normal University, Guangzhou, China;c Key Laboratory of Natural Resources Monitoring in Tropical and Subtropical Area of South China, Ministry of Natural Resources, Guangzhou, ChinaCorrespondence[email protected]
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Yingchun Fua School of Geography, South China Normal University, Guangzhou, China;c Key Laboratory of Natural Resources Monitoring in Tropical and Subtropical Area of South China, Ministry of Natural Resources, Guangzhou, ChinaView further author information
, Lili Xiaa School of Geography, South China Normal University, Guangzhou, China;c Key Laboratory of Natural Resources Monitoring in Tropical and Subtropical Area of South China, Ministry of Natural Resources, Guangzhou, ChinaView further author information
& Jinsong Chenb Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China;d Shenzhen Engineering Laboratory of Ocean Environmental Big Data Analysis and Application, Shenzhen, ChinaView further author information
Pages 37-51
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Received 24 Jun 2021, Accepted 11 Dec 2021, Published online: 05 Jan 2022
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