This repository serves as the supportive material for the lecture entitled "Exploiting unsupervised learning and remote sensing for rapid flood damage assessment", given at TU Berlin on January 9th, 2024. The lecture is part of a lecture series "Advances in Water Management and Climate Adaptation" organized by the Smart Water Networks department of TU Berlin.
The utilized data is a tile downloaded from the Sen1flood11 dataset, more information on the dataset can be found in Bonafilia, D., Tellman, B., Anderson, T., & Issenberg, E. (2020). Sen1Floods11: A georeferenced dataset to train and test deep learning flood algorithms for sentinel-1. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (pp. 210-211).