GLOBMAP SWF: a global annual surface water cover frequency dataset during 2000–2020
Yang Liu,Ronggao Liu,and Rong Shang
Yang Liu
State Key Laboratory of Resources and Environmental Information
System, Institute of Geographic Sciences and Natural Resources Research,
CAS, Beijing, 100101, China
State Key Laboratory of Resources and Environmental Information
System, Institute of Geographic Sciences and Natural Resources Research,
CAS, Beijing, 100101, China
Key Laboratory for Humid Subtropical Eco-geographical Processes of the
Ministry of Education, School of Geographical Sciences, Fujian Normal
University, Fuzhou, 350007, China
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Total article views: 3,065 (including HTML, PDF, and XML)
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Viewed (geographical distribution)
Total article views: 3,955 (including HTML, PDF, and XML)
Thereof 3,766 with geography defined
and 189 with unknown origin.
Total article views: 3,065 (including HTML, PDF, and XML)
Thereof 2,957 with geography defined
and 108 with unknown origin.
Total article views: 890 (including HTML, PDF, and XML)
Thereof 809 with geography defined
and 81 with unknown origin.
Surface water has been changing significantly with high seasonal variation and abrupt change, making it hard to capture its interannual trend. Here we generated a global annual surface water cover frequency dataset during 2000–2020. The percentage of the time period when a pixel is covered by water in a year was estimated to describe the seasonal dynamics of surface water. This dataset can be used to analyze the interannual variation and change trend of highly dynamic inland water extent.
Surface water has been changing significantly with high seasonal variation and abrupt change,...
