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This lecture covers the analysis of soil sealing in Switzerland, focusing on the impact of sealed surfaces on soil functions and sustainable development. It discusses the use of Landsat 8 images and Corine Land Cover data for land use statistics. The lecture also delves into the process of image segmentation, feature computation, and training random forest classifiers for land cover classification. Additionally, it explores the challenges of imbalanced datasets, data augmentation, and model evaluation. The presentation concludes with the project groups' presentations on topics such as traffic monitoring, forest mapping, and lake mapping using machine learning methods.