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Article: High spatiotemporal resolution estimation and analysis of global surface CO concentrations using a deep learning model

TitleHigh spatiotemporal resolution estimation and analysis of global surface CO concentrations using a deep learning model
Authors
Issue Date1-Nov-2024
PublisherElsevier
Citation
Journal of Environmental Management, 2024, v. 371 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/351233
ISSN
2023 Impact Factor: 8.0
2023 SCImago Journal Rankings: 1.771

 

DC FieldValueLanguage
dc.contributor.authorHu, Mingyun-
dc.contributor.authorLu, Xingcheng-
dc.contributor.authorChen, Yiang-
dc.contributor.authorChen, Wanying-
dc.contributor.authorGuo, Cui-
dc.contributor.authorXian, Chaofan-
dc.contributor.authorFung, Jimmy CH-
dc.date.accessioned2024-11-14T00:35:54Z-
dc.date.available2024-11-14T00:35:54Z-
dc.date.issued2024-11-01-
dc.identifier.citationJournal of Environmental Management, 2024, v. 371-
dc.identifier.issn0301-4797-
dc.identifier.urihttp://hdl.handle.net/10722/351233-
dc.languageeng-
dc.publisherElsevier-
dc.relation.ispartofJournal of Environmental Management-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleHigh spatiotemporal resolution estimation and analysis of global surface CO concentrations using a deep learning model-
dc.typeArticle-
dc.identifier.doi10.1016/j.jenvman.2024.123096-
dc.identifier.volume371-
dc.identifier.eissn1095-8630-
dc.identifier.issnl0301-4797-

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