Pre-disaster Management based Machine Learning, IoT and Big Data: Survey and future direction

Due to climate changes, the world has experienced in recent years violent natural disasters such as fires, floods and typhoons. Since Disasters are difficult to cope with and stop, researchers have focused on the pre-disaster management phase to reduce damage. Pre-disaster management is the first phase in a disaster management cycle, it uses available data collected from different resources, to detect and predict disaster cases in order to give rescue teams more time to prepare and make decisions.With development of modern technologies and equipment many systems and approaches were proposed based on this development to improve the effectiveness and performance of disaster management and early warning systems. This paper aims to provide an overview of last years studies, focusing on new technologies (IoT, Machine learning, Big Data) for pre-disaster management.