Articles | Volume 14, issue 10
Data description paper
12 Oct 2022
Data description paper |  | 12 Oct 2022

GLOBMAP SWF: a global annual surface water cover frequency dataset during 2000–2020

Yang Liu, Ronggao Liu, and Rong Shang

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Cited articles

Al Bitar, A., Parrens, M., Fatras, C., Luque, S. P., and Ieee: Global weekly inland surface water dynamics from L-band microwave, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Electr Network, 26 September–2 October 2020, WOS:000664335304223, 5089–5092,, 2020. 
Berghuijs, W. R., Woods, R. A., and Hrachowitz, M.: A precipitation shift from snow towards rain leads to a decrease in streamflow, Nat. Clim. Change, 4, 583–586,, 2014. 
Bioresita, F., Puissant, A., Stumpf, A., and Malet, J. P.: A Method for Automatic and Rapid Mapping of Water Surfaces from Sentinel-1 Imagery, Remote Sens., 10, 217,, 2018. 
Carroll, M. L., Townshend, J. R. G., DiMiceli, C. M., Loboda, T., and Sohlberg, R. A.: Shrinking lakes of the Arctic: Spatial relationships and trajectory of change, Geophys. Res. Lett., 38, L20406,, 2011. 
Feng, L., Hu, C. M., Chen, X. L., Cai, X. B., Tian, L. Q., and Gan, W. X.: Assessment of inundation changes of Poyang Lake using MODIS observations between 2000 and 2010, Remote Sens. Environ., 121, 80–92,, 2012. 
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.
Final-revised paper