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| Main Authors: | , , , , , |
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| Format: | Recurso digital |
| Language: | |
| Published: |
Zenodo
2025
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| Online Access: | https://doi.org/10.5281/zenodo.18895294 |
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Table of Contents:
- <p>In recent years, the monitoring and study of natural<br>hazards have gained significant attention, particularly due to<br>climate change, which exacerbates incidents like floods, droughts,<br>storm surges, and landslides. Together with the constant risk of<br>earthquakes, these climate-induced events highlight the critical<br>necessity for enhanced risk assessment and mitigation strategies<br>in susceptible areas such as Italy.<br>In this work, we present a Science Gateway framework for<br>the development of portable and fully automated post-event<br>analysis pipelines integrating Photogrammetry techniques, Data<br>Visualization and Artificial Intelligence technologies, applied on<br>aerial images, to assess extreme natural events and evaluate their<br>impact on risk-exposed assets.</p>