The Application of Geospatial Artificial Intelligence, Geo Internet of Things and Geostatistical Visual Analytics for Urban Recovery Planning and Management Due to the Eruption of Mount Semeru, Indonesia

Disaster management essentially encompasses measures for safeguarding people from disasters and reducing the possibility of hazards arising. On 4 December 2021, Semeru Volcano experienced increased volcanic activities and produced hot clouds and lava with a sliding distance of up to 16 km towards Besuk Kobokan in the southeast sector, resulting in human casualties and damage to property and infrastructure. The hot cloud bed and shouts on 4 December 2021 expanded to the Supiturang and Sumberwuluh villages, 11–16 km from the summit. The assessment was carried out by aerial photography using drones. Furthermore, due to the vast affected coverage area and limited human and financial resource from the authorities, the damage and loss assessment processes adopted the geospatial artificial intelligence method in detecting rapidly damaged urban facilities. To facilitate communication among stakeholders for a rapid response, this study utilised the Internet of Things method for urban recovery planning and management. At the end of the activity, a smart emergency dashboard was built to support decision-making by the local and national governments. This study showed that the use of GeoAI, IoT and geostatistical visual analysis accelerates evacuation processes compared to conventional methods for minimising the number of disaster victims.