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Main Authors: Pelonero, Leonardo, Vitello, Fabio, Sciacca, Eva, Imbrosciano, Mauro, Scavo, Salvatore, Becciani, Ugo
Format: Preprint
Published: 2026
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Online Access:https://arxiv.org/abs/2602.01798
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author Pelonero, Leonardo
Vitello, Fabio
Sciacca, Eva
Imbrosciano, Mauro
Scavo, Salvatore
Becciani, Ugo
author_facet Pelonero, Leonardo
Vitello, Fabio
Sciacca, Eva
Imbrosciano, Mauro
Scavo, Salvatore
Becciani, Ugo
contents In recent years, the monitoring and study of natural hazards have gained significant attention, particularly due to climate change, which exacerbates incidents like floods, droughts, storm surges, and landslides. Together with the constant risk of earthquakes, these climate-induced events highlight the critical necessity for enhanced risk assessment and mitigation strategies in susceptible areas such as Italy. In this work, we present a Science Gateway framework for the development of portable and fully automated post-event analysis pipelines integrating Photogrammetry techniques, Data Visualization and Artificial Intelligence technologies, applied on aerial images, to assess extreme natural events and evaluate their impact on risk-exposed assets.
format Preprint
id arxiv_https___arxiv_org_abs_2602_01798
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Developing a Portable Solution for Post-Event Analysis Pipelines
Pelonero, Leonardo
Vitello, Fabio
Sciacca, Eva
Imbrosciano, Mauro
Scavo, Salvatore
Becciani, Ugo
Distributed, Parallel, and Cluster Computing
Computers and Society
In recent years, the monitoring and study of natural hazards have gained significant attention, particularly due to climate change, which exacerbates incidents like floods, droughts, storm surges, and landslides. Together with the constant risk of earthquakes, these climate-induced events highlight the critical necessity for enhanced risk assessment and mitigation strategies in susceptible areas such as Italy. In this work, we present a Science Gateway framework for the development of portable and fully automated post-event analysis pipelines integrating Photogrammetry techniques, Data Visualization and Artificial Intelligence technologies, applied on aerial images, to assess extreme natural events and evaluate their impact on risk-exposed assets.
title Developing a Portable Solution for Post-Event Analysis Pipelines
topic Distributed, Parallel, and Cluster Computing
Computers and Society
url https://arxiv.org/abs/2602.01798