High-resolution mapping of global surface water and its long-term changes

By Jean-François Pekel, A. Cottam, Noel Gorelick, A. Belward. Nature, 2016

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Copernicus Global Land Cover Layers - Collection 2 (2020, methodology): “Since water surfaces and built-up surfaces are not classified in the CGLS-LC100 algorithm but fused in from these ancillary data sets, the most important ancillary dataset in the CGLS-LC100 processing line is JRC’s Global Surface Water dataset [35] and DLR’s World Settlement Footprint (WSF) [36].”
Google Earth Engine Cloud Computing Platform for Remote Sensing Big Data Applications: A Comprehensive Review (2020, background): “In[178], global surface water and its long-term changes were mapped over three decades of Landsat satellite images (three million images) within the GEE platform.”
Sentinel-1 SAR Backscatter Analysis Ready Data Preparation in Google Earth Engine (2021, background): “Examples of large-scale Sentinel-1 SAR applications include forest disturbance monitoring [1], rice cropland mapping [2], ground deformation monitoring [3], and inland water body monitoring [4].”
The Global Mangrove Watch - A New 2010 Global Baseline of Mangrove Extent (2018, methodology): “This study also benefited from the availability of a number of additional global datasets, such as the water occurrence dataset [29] and shorelines [30,31], bathymetry [32] and the SRTM elevation model.”