3D-Flood Dataset
<p>The Aristotle University of Thessaloniki (hereinafter, <strong>AUTH</strong>) created the following <strong>dataset, entitled ‘3D-Flood’</strong>, within the context of the project TEMA that was funded by the European Commission-European Union.</p> <p>The dataset will be used for the construction of a 3D model regarding the district of Agios Thomas in Larisa, Greece, after the flood events of 2023. It is comprised of 795 UAV video frames, taken from 4 YouTube videos.</p> <p>We provide the links for each YouTube video, along with the frame numbers that we kept for each video.</p> <p>Details on acquiring the dataset can be found <strong><a href="https://aiia.csd.auth.gr/3d-flood-dataset/" target="_blank" rel="noopener">here</a></strong>.</p>
ShareScore
44/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 4