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GitHub / 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.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/UNITAR-UNOSAT%2FUNOSAT-AI-Based-Rapid-Mapping-Service

Stars: 41
Forks: 14
Open Issues: 0

License: None
Language: Jupyter Notebook
Repo Size: 4.93 MB
Dependencies: 0

Created: about 4 years ago
Updated: 8 months ago
Last pushed: 10 months ago
Last synced: 7 months ago

Topics: disaster-response, flood-mapping, rapid-mapping

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