The goal of this project was to detect illegal mines from satellite data in Suriname. Illegal mines are known to heavily use chemicals, which eventually contaminate nearby water resources. This talk sheds light on which spectral data we chose, which computer vision / deep learning algorithms we used and how accurate our predictions are. One of our most prominent challenge was the imbalanced data set. Philipp will comment on their experiences with pretraining, network architectures, feature engineering and selecting a loss function.