GitHub topics: rapid-mapping
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: Python - Size: 89 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
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 Notebook - Size: 4.93 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 41 - Forks: 14
vhertel/radar-based-flood-mapping
This repository contains a Jupyter Notebook for automatic flood extent mapping using space-based information.
Language: Jupyter Notebook - Size: 16.9 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 11 - Forks: 20