 This study proposes a new methodology for accurately quantifying surface water extent in wetlands using Sentinel-1 synthetic aperture radar, SAR, data. The researchers used a combination of existing data sets, such as the Shuttle Radar Topography Mission, SRTM, Water Body Data Set, SWBD, and a newly developed Composite Dynamic Surface Water Extent, CDSWE, class probability map to generate more accurate surface water extent maps than previously possible. The researchers found that this methodology was able to reduce both emission and commission errors in the prairie pothole region site by up to 10%. This suggests that including prior water masks that reflect the dynamics in surface water extent can be beneficial for the accurate mapping of water bodies using SAR data. This article was authored by Wenli Huang, Ben De Vries, Chen Kuan Huang, and others.