Extract Globcover Landcover Map From Sentinel-3 SLSTR Level 2 Data Using ESA SNAP

There are many government agencies or NGO have been published a wide range of landcover data. Those data ranging from national level to global level. Commercial vendors also provides wide range of landcover mapping services and products from medium resolution to very high resolution, using wide range of techniques like image classification, segmentation, or "the old but reliable" method visual interpretation. With the widely usage of latest AI technology like Machine Learning and Deep Learning, Landcover mapping even reaching the stage of combination the benefits of Image Classification and Visual Interpretation. These Deep Learning Algorithm could give mapping results in polygon format from raster domain, something that not straightforwardly possible in the previous decades. 

One cool thing about these landcover data is most of them are available for free. One of them is European Globcover Dataset. It provides landcover data at medium resolution in global scale. I don't know if there is specific site that provide GlobCover Landcover data, but as far I know, the data has been incorporated into Sentinel-3 SLSTR Level 2 data product. So if you are interested to get or to inspect how good the data, I already provide a video tutorial about how to extract it from Sentinel-3 SLSTR Level 2 Imagery below. 

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