Brief Communication: AI-driven rapid landslides mapping following the 2024 Hualien City Earthquake in Taiwan
Year: 2025
Type: article
Abstract: On April 2nd, 2024, a Mw 7.4 earthquake struck Taiwan's eastern coast, triggering numerous landslides and severely impacting infrastructure. To create a preliminary inventory of the earthquake-induced landslides in Eastern Taiwan (~3,300 km²) we deployed automated landslide detection methods by combining Earth Observation (EO) data with Artificial Intelligence models. The models identified ~7,090 landslide events covering >75 km\textsuperscript{2}, in $\approx$ 3 hours after the acquisition of the EO imagery. This research showcase AI’s role for rapid landslide detection for disaster response. The generated landslide inventory can also be used to improve the understanding of earthquake-landslide interactions to improve seismic hazard mitigation.
Source: Apollo (University of Cambridge)
DOI: 10.17863/cam.117785
Authors: Nava, Lorenzo, Novellino, Alessandro, Fang, Chengyong, Bhuyan, Kushanav, Leeming, Kathryn, Alvarez, Itahisa Gonzalez, Dashwood, Claire, Doward, Sophie, Chahel, Rahul, McAllister, Emma, Meena, Sansar Raj, Catani, Filippo
Language: English
Subfield: Management, Monitoring, Policy and Law
Field: Environmental Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6944142208
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