rapid-mapping

There are 3 repositories under rapid-mapping topic.

  • UNITAR-UNOSAT/UNOSAT-AI-Based-Rapid-Mapping-Service

    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.

    Language:Jupyter Notebook524215

  • vhertel/radar-based-flood-mapping

    This repository contains a Jupyter Notebook for automatic flood extent mapping using space-based information.

    Language:Jupyter Notebook222125

  • vhertel/bda-session-bonn

    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.

    Language:Python1200