The Sentinel-2 Global Land Cover (S2GLC) project was founded by The European Space Agency (ESA) through its Scientific Exploitation of Operational Missions (SEOM) element. The project was implemented by a consortium led by CBK PAN. The main goal of the project was to develop a methodology for producing a new, high resolution Global Land Cover map based on Sentinel-2 imagery.
In order to maximize robustness and assure operability of the developed methods, five test sites representing different climatic and landscape conditions were chosen to perform tests and validate the applied classification techniques. These sites include selected parts of China, Columbia and Namibia as well as entire territory of Germany and Italy.
One of the main outputs of the project is a Scientific Roadmap that provides the best practices guide how to efficiently prepare a land cover map for any location on the globe. The proposed solution is based on supervised classification and existing Global Land Cover databases as a source of training data. Additionally, a new approach to multi-temporal image analysis, called aggregation, was developed and included in the proposed methodolical workflow.
As an extension, land cover map for whole has been developed. More information may be found in the EXTENSION section.