… applications of monitoring changes in land surface at a global scale [43]. … Sentinel-2 data
in Google Earth Engine (GEE) could be used with machine learning models to map seagrass …

… flat map with finer spatial resolution, we employed 28,367 scenes of time series Sentinel-2 …
The short revisit cycle (2–5 days) of the Sentinel-2 improved the opportunities of obtaining …

… access to high-coverage global-scale analysis-ready satellite … We used the Sentinel-2 surface
reflectance dataset in the … line of coral reef, sand, and seagrass followed the 1:1 line more …

… meadows on a broader or even global scale. … -2A images of Sentinel-2 satellite on the
Google Earth Engine (GEE) … for seagrass identification, we searched all the Sentinel-2 images …

… , we used 507 Sentinel-2 satellite images, filtered between August 2020 and 42 May 2021,
in the Google Earth Engine cloud … sensor satellite imagery marks a priming step towards 485 …

… We used Google Earth Engine-based processing of Sentinel-2 satellite imagery to map …
free-to-use Sentinel-2 satellite imagery and Google Earth Engine have significantly reduced the …

… to a global-scale monitoring. In their research, they used support vector machine to classify
Sentinel-2 … In this study, to monitor the status and changes in the seagrasses of Busuanga, a …

… imagery to estimate satellite-derived bathymetry [37] and to map seagrass [34]. … from
Sentinel 2 L1C imagery; masking thresholds were globally applied in Google Earth Engine, …

… from the Sentinel-2 data; and c) a hot-spot map based on the … computation within the
Google Earth Engine, our framework … towards continental and global-scale seagrass mapping …

… is biased towards false classification pixels due to … use method for coastal monitoring that
also generates useful information for the complete coastal management cycle on a global scale…