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New article on automatic forest cover classification in GEE

📢 Our latest paper, in collaboration with Katarína Onačillová and Veronika Krištofová from Univerzita ‘Pavla Jozefa Šafárika’ v Košiciach, introduces an automatic forest cover classification pipeline in Google Earth Engine to classify forest layers at country level. 🌳🛰️ We harnessed the power of Sentinel-2 satellite data and machine learning algorithms in Google Earth Engine (GEE) to create countrywide classifications of forests in Slovakia spanning from […]

Daniel Paluba won the third place in the prestigious European Space Agency “Get Space Inspired” competition

Combining a passion for travel with research in remote sensing data analysis – that’s the idea behind the proposed SatPlanner project by our team member, Daniel Paluba, which won a great 3rd place in the European Space Agency’s “Get Space Inspired” competition! The aim of the Get Space Inspired competition was to gather ideas for […]