Articles | Volume 14, issue 10
https://doi.org/10.5194/essd-14-4505-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-4505-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
12 Oct 2022
Data description paper |
| 12 Oct 2022
| 12 Oct 2022
GLOBMAP SWF: a global annual surface water cover frequency dataset during 2000–2020
Yang Liu
State Key Laboratory of Resources and Environmental Information
System, Institute of Geographic Sciences and Natural Resources Research,
CAS, Beijing, 100101, China
Ronggao Liu
CORRESPONDING AUTHOR
State Key Laboratory of Resources and Environmental Information
System, Institute of Geographic Sciences and Natural Resources Research,
CAS, Beijing, 100101, China
Rong Shang
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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Short summary
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,...
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