An Integrated Approach for Post-Disaster Flood Management Via the Use of Cutting-Edge Technologies and UAVs: A Review

Hafiz Suliman Munawar, Ahmed W. A. Hammad, S. Travis Waller, Muhammad Jamaluddin Thaheem and Asheem Shrestha
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Hafiz Suliman Munawar: School of Built Environment, University of New South Wales, Kensington, Sydney, NSW 2052, Australia
Ahmed W. A. Hammad: School of Built Environment, University of New South Wales, Kensington, Sydney, NSW 2052, Australia
S. Travis Waller: School of Civil and Environmental Engineering, University of New South Wales, Kensington, Sydney, NSW 2052, Australia
Muhammad Jamaluddin Thaheem: Geelong Waterfront Campus, School of Architecture and Built Environment, Locked Bag 20001, Deakin University, Geelong, VIC 3220, Australia
Asheem Shrestha: Geelong Waterfront Campus, School of Architecture and Built Environment, Locked Bag 20001, Deakin University, Geelong, VIC 3220, Australia

Sustainability, 2021, vol. 13, issue 14, 1-22

Abstract: Rapid advances that improve flood management have facilitated the disaster response by providing first aid services, finding safe routes, maintaining communication and developing flood maps. Different technologies such as image processing, satellite imagery, synthetic imagery and integrated approaches have been extensively analysed in the literature for disaster operations. There is a need to review cutting-edge technologies for flood management. This paper presents a review of the latest advancements in the flood management domain based on image processing, artificial intelligence and integrated approaches with a focus on post-disaster. It answers the following research questions: (1) What are the latest developments in image processing for flood management in a post-disaster scenario? (2) What are the latest techniques for flood management based on artificial intelligence in a post-disaster scenario? (3) What are the existing gaps in the selected technologies for post-disaster? (4) How can the authorities improve the existing post-disaster management operation with cutting-edge technologies? A novel framework has been proposed to optimise flood management with the application of a holistic approach.

Keywords: natural disaster; early warning system; artificial intelligence; image processing (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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