School of Atmospheric Sciences, Southern Marine Science and Engineering
Guangdong Laboratory (Zhuhai), Sun Yat-sen University, Zhuhai 519082,
Guangdong, China
Jinqing Wang
International Research Center of Big Data for Sustainable Development
Goals, Beijing 100094, China
Key Laboratory of Digital Earth Science, Aerospace Information Research
Institute, Chinese Academy of Sciences, Beijing 100094, China
School of Electronic, Electrical and Communication Engineering, University
of Chinese Academy of Sciences, Beijing 100049, China
Jun Mi
International Research Center of Big Data for Sustainable Development
Goals, Beijing 100094, China
Key Laboratory of Digital Earth Science, Aerospace Information Research
Institute, Chinese Academy of Sciences, Beijing 100094, China
School of Electronic, Electrical and Communication Engineering, University
of Chinese Academy of Sciences, Beijing 100049, China
Wendi Liu
International Research Center of Big Data for Sustainable Development
Goals, Beijing 100094, China
Key Laboratory of Digital Earth Science, Aerospace Information Research
Institute, Chinese Academy of Sciences, Beijing 100094, China
School of Electronic, Electrical and Communication Engineering, University
of Chinese Academy of Sciences, Beijing 100049, China
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11,023
3,534
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14,720
172
240
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PDF: 3,534
XML: 163
Total: 14,720
BibTeX: 172
EndNote: 240
Views and downloads (calculated since 19 Aug 2022)
Cumulative views and downloads
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Total article views: 12,761 (including HTML, PDF, and XML)
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EndNote
10,011
2,628
122
12,761
151
216
HTML: 10,011
PDF: 2,628
XML: 122
Total: 12,761
BibTeX: 151
EndNote: 216
Views and downloads (calculated since 17 Jan 2023)
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1,012
906
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1,959
21
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BibTeX: 21
EndNote: 24
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Viewed (geographical distribution)
Total article views: 14,720 (including HTML, PDF, and XML)
Thereof 14,358 with geography defined
and 362 with unknown origin.
Total article views: 12,761 (including HTML, PDF, and XML)
Thereof 12,451 with geography defined
and 310 with unknown origin.
Total article views: 1,959 (including HTML, PDF, and XML)
Thereof 1,907 with geography defined
and 52 with unknown origin.
An accurate global 30 m wetland dataset that can simultaneously cover inland and coastal zones is lacking. This study proposes a novel method for wetland mapping and generates the first global 30 m wetland map with a fine classification system (GWL_FCS30), including five inland wetland sub-categories (permanent water, swamp, marsh, flooded flat and saline) and three coastal wetland sub-categories (mangrove, salt marsh and tidal flats).
An accurate global 30 m wetland dataset that can simultaneously cover inland and coastal zones...
