Machine Learning in Disaster Management: Recent Developments in Methods and Applications

Vasileios Linardos; Maria Drakaki; Panagiotis Tzionas; Yannis Karnavas

doi:10.3390/make4020020

journal article Open Access May 07, 2022

Machine Learning in Disaster Management: Recent Developments in Methods and Applications

Vasileios Linardos

Maria Drakaki

Panagiotis Tzionas Yannis Karnavas

Machine Learning and Knowledge Extraction Vol. 4 No. 2 pp. 446-473 · MDPI AG

View at Publisher Save 10.3390/make4020020

Abstract

Recent years include the world’s hottest year, while they have been marked mainly, besides the COVID-19 pandemic, by climate-related disasters, based on data collected by the Emergency Events Database (EM-DAT). Besides the human losses, disasters cause significant and often catastrophic socioeconomic impacts, including economic losses. Recent developments in artificial intelligence (AI) and especially in machine learning (ML) and deep learning (DL) have been used to better cope with the severe and often catastrophic impacts of disasters. This paper aims to provide an overview of the research studies, presented since 2017, focusing on ML and DL developed methods for disaster management. In particular, focus has been given on studies in the areas of disaster and hazard prediction, risk and vulnerability assessment, disaster detection, early warning systems, disaster monitoring, damage assessment and post-disaster response as well as cases studies. Furthermore, some recently developed ML and DL applications for disaster management have been analyzed. A discussion of the findings is provided as well as directions for further research.

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Details

Published: May 07, 2022
Vol/Issue: 4(2)
Pages: 446-473
License: View

Authors

V

Vasileios Linardos

Archeiothiki S.A., GR-19400 Athens, Greece

M

Maria Drakaki

Department of Science and Technology, University Center of International Programmes of Studies, International Hellenic University, 14th Km Thessaloniki-N. Moudania, GR-57001 Thermi, Greece

P

Panagiotis Tzionas

Department of Industrial Engineering and Management, International Hellenic University, P.O. Box 141, GR-57400 Thessaloniki, Greece

Y

Yannis Karnavas

Electrical Machines Laboratory, Department of Electrical & Computer Engineering, Democritus University of Thrace, GR-67100 Xanthi, Greece

Cite This Article

Vasileios Linardos, Maria Drakaki, Panagiotis Tzionas, et al. (2022). Machine Learning in Disaster Management: Recent Developments in Methods and Applications. Machine Learning and Knowledge Extraction, 4(2), 446-473. https://doi.org/10.3390/make4020020

Machine Learning in Disaster Management: Recent Developments in Methods and Applications

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