This GitHub repository contains the machine learning models described in Edoardo Nemnni, Joseph Bullock, Samir Belabbes, Lars Bromley Fully Convolutional Neural Network for Rapid Flood Segmentation in Synthetic Aperture Radar Imagery.
This repository contains a Jupyter Notebook for automatic flood extent mapping using space-based information.
This repository is part of a lecture series at the University of Bonn and is designed as an introduction to deep learning methods in the remote sensing domain.
Add a description, image, and links to the rapid-mapping topic page so that developers can more easily learn about it.
To associate your repository with the rapid-mapping topic, visit your repo's landing page and select "manage topics."