Developing a Portable Solution for Post-Event Analysis Pipelines
Leonardo Pelonero, Fabio Vitello, Eva Sciacca, Mauro Imbrosciano, Salvatore Scavo, Ugo Becciani

TL;DR
This paper introduces a portable, automated analysis framework combining photogrammetry, AI, and visualization to assess natural disaster impacts using aerial imagery, aiding risk mitigation in climate-vulnerable regions.
Contribution
It presents a novel Science Gateway framework that integrates multiple advanced technologies for post-event natural hazard analysis in a portable and automated manner.
Findings
Effective integration of photogrammetry and AI for impact assessment.
Automated pipeline enhances rapid response capabilities.
Framework applicable to various natural hazard scenarios.
Abstract
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.
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Taxonomy
Topics3D Surveying and Cultural Heritage · Flood Risk Assessment and Management · Seismology and Earthquake Studies
