In my master’s thesis I presented the process of land cover maps production with free and publicly available data. Such land classification process is repeatable not only in the area of Slovenia but anywhere in the world. Concepts of land cover and land use are interpreted and the most important collections of land cover and use are chronicled. Various ways of classification, class categorization and performance of classification quality analysis are introduced as well. As the source of satellite imagery used the Copernicus program and Sentinel-2 satellites are represented. OpenStreetMap project, used as the source of learning samples, is also described.
I made three land cover maps of chosen land based on learning samples of OpenStreetMap map. Sentinel-2 satellite is the source of satellite imagery. Maps differ according to number of learning samples on account of thesis' objective, which was to identify the optimal number of samples needed to produce a land cover map. By analyzing the results I determined the two classes of land cover (class of forest, bushes and overgrowth land and class of water) are reaching satisfying results. Assumptions tested in the master’s thesis were confirmed by showing that classification process can be carried out automatically. I also demonstrated that OpenStreetMap data displays valuable but occasionally unreliable data.