Abstract
Technical and methodological enhancement of hazards and disaster research is identified as a critical question in disaster management. Artificial intelligence (AI) applications, such as tracking and mapping, geospatial analysis, remote sensing techniques, robotics, drone technology, machine learning, telecom and network services, accident and hot spot analysis, smart city urban planning, transportation planning, and environmental impact analysis, are the technological components of societal change, having significant implications for research on the societal response to hazards and disasters. Social science researchers have used various technologies and methods to examine hazards and disasters through disciplinary, multidisciplinary, and interdisciplinary lenses. They have employed both quantitative and qualitative data collection and data analysis strategies. This study provides an overview of the current applications of AI in disaster management during its four phases and how AI is vital to all disaster management phases, leading to a faster, more concise, equipped response. Integrating a geographic information system (GIS) and remote sensing (RS) into disaster management enables higher planning, analysis, situational awareness, and recovery operations. GIS and RS are commonly recognized as key support tools for disaster management. Visualization capabilities, satellite images, and artificial intelligence analysis can assist governments in making quick decisions after natural disasters.
Highlights
Introduction published maps and institutional affilA disaster is a phenomenon that may inflict harm on a community through loss of human life, damage to the environment, or economic loss
Artificial intelligence (AI) has many forms, this and algorithms utilized in the context of catastrophe prediction and facilitating speedier report concentrates on using AI such as robotics, drones, machine learning, deep learning, rescue and relief delivery activities [20,21,22,23]
COVID-19, but these tools play a vital role in health disaster management and health planning to fight this deadly pandemic [87]
Summary
Figure studieson onartificial artificial intelligence and disaster management. (DMC)is is the process planning to reduce imThe the process forfor planning to reduce the the impact pact of a disaster DMC guides government, agency organizations, civil of a disaster (Figure 6). The DMC guides government, agency organizations, civil society, and and businesses businesses to to execute executeand andbuild buildresilience resiliencein inthe thecommunity
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
