Sentinel-1 based Inland water dynamics Mapping System (SIMS)

This work introduces Sentinel-1 based Inland water dynamics Mapping System (SIMS), an open-source web application developed to enable automated mapping of inland using radar imagery. SIMS relies on a novel framework built Python and Google Earth Engine. The underlying algorithm involves simple binary thresholding technique outlier removal method tailored perform efficiently across complicated flow regimes. Results can be downloaded as numerical data or time-series shapefiles representing the variation extents. Exported geospatial datasets aid pre-launch study future Surface Water Ocean Topography (SWOT) mission which is expected deliver hydrological measurements at unprecedented spatial resolutions. Classification metrics are evaluated 20 validation sites globe Sentinel-2 Modified Normalized Difference Index (MNDWI) images reference. indicated high overall accuracy ranging from 84.16% 99.47% for lakes 87.23%–98.96% rivers. • A new app dynamic extents presented. Application programmed in Backend configurable rivers lakes. Derived outputs exported time series surface extent shapefiles. have huge potential improve SWOT mission.