Converting Raw Data Into Actionable Information: A topical review of artificial intelligence, machine learning, and digital twins in disaster management

R. Albayrak, Arif; M. Kuglitsch, Monique; Luterbacher, Jürg; Xoplaki, Elena; Nava, Lorenzo; McClain, Shanna; Osmanoğlu, Batuhan; Wee, Brian; D. Karwatowski, Chester; Williams, Peter; Fernández-Torres, Miguel-Ángel; Stern, Eri; Boyd, Dylan; D. Slate, Daniel; Menon, Mythili

doi:10.1109/mgrs.2025.3642854

Public

Converting Raw Data Into Actionable Information: A topical review of artificial intelligence, machine learning, and digital twins in disaster management

Published in IEEE Geoscience and Remote Sensing Magazine • Jun 1, 2026

Authors:

Arif R. Albayrak

Monique M. Kuglitsch

Jürg Luterbacher

Abstract

Advances in Earth observations [from satellites, ground measurements, Internet of Things (IoT) devices, and both physical sensors (PSs) and virtual sensors (VSs)], artificial intelligence (AI), and telecommunications offer tremendous potential for disaster management. Converting these data streams i...

Subject

Raw data

Emergency management

Computer science

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