Geospatial Data and Technology Application Towards Managing Flood Disaster in the Context of Industrial Revolution 4.0 (IR4.0)

Authors

  • Izham Mohamad Yusoff Universiti Sains Malaysia
  • Aznarahayu Ramli School of Distance Education, Universiti Sains Malaysia
  • Nurul Azni Mhd Al-Kasirah School of Distance Education, Universiti Sains Malaysia

Keywords:

Flood disaster, geospatial data, geospatial technology, Geographic Information System (GIS), Industrial Revolution 4.0

Abstract

Recent years have seen the revolution towards Industrial Revolution 4.0 (IR4.0) in which data acts as an important driver. To date, efforts on providing a comprehensive study on the application of geospatial data and technology for flood disaster management in the context of IR4.0 are still lacking. This paper intends to address this gap by investigating previous research in applying geospatial data and technology to manage flood disasters. The comprehensive reviews on recent geospatial and IR4.0 based flood models, applications and simulations were carried out. Several research agendas have been proposed to provide possible research areas in the context of geospatial data acquisition and integration. It is discovered that the perspective of the Internet of Things (IoT), Big Data, Cyber-Physical Systems (CPS), and Cloud Computing has made a significant contribution to the dissemination of GIS-based geospatial data processing for flood prediction, mitigation, visualisation, and management of sophisticated Spatio-temporal analytic capabilities with the emergence of IR4.0. This article can serve as a starting point for future advancements in flood disaster prediction, analysis, and response.

Downloads

Published

2021-07-31

How to Cite

Mohamad Yusoff, I., Ramli, A., & Mhd Al-Kasirah, N. A. (2021). Geospatial Data and Technology Application Towards Managing Flood Disaster in the Context of Industrial Revolution 4.0 (IR4.0). Journal of Advanced Geospatial Science & Technology, 1(1), 38–69. Retrieved from https://jagst.utm.my/index.php/jagst/article/view/7