Advanced Application of Geoinformatics and Artificial Intelligence on Disaster Risk Management
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Environmental Sustainability and Applications".
Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 2306
Special Issue Editors
Interests: virtual geographic environments; geovisualization for disaster management; machine learning for geoinformation
Special Issues, Collections and Topics in MDPI journals
Interests: flood propagation; rainfall-runoff modeling; river networks; hazard communication; surface irrigation; impacts of climate change; lidar; soil erosion and sediment transport
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, environmental changes and rapid economic growth have increased the frequency and intensity of disasters, such as COVID-19, floods, earthquakes, hurricanes, etc. Effective disaster risk management contributes to sustainable development. Strengthening research on disaster patterns, causes, and effects plays an important role in improving disaster risk management and environmental sustainability.
The Sendai Framework for Disaster Risk Reduction 2015–2030 (SFDRR) states to develop, update and disseminate location-based disaster risk information to decision-makers, the general public, and communities at risk based on geospatial information technology, social sensing, and artificial intelligence. Furthermore, we need to understand, predict, and assess disaster risks to reduce disaster loss and prevent future damage to a community, and create a stronger and more resilient environment.
This special issue aims to challenge how to comprehensively utilize geoinformatics, remote sensing, spatial statistics, and geospatial artificial intelligence (GeoAI) to improve disaster risk management and environmental sustainability, multidisciplinary and interdisciplinary approaches are encouraged. In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
(1) GeoAI in disaster risk identification, extraction, and assessment
(2) Intelligent networking and social media in disasters
(3) Statistical analysis and risk mapping
(4) New applications of extended reality (XR) in disasters
(5) Virtual Geographic Environments (VGEs) and disaster multi-dimensional representation
(6) Disaster education and risk communication
(7) Disaster intelligent prediction and scenario simulation
We look forward to receiving your contributions.
Dr. Weilian Li
Dr. Pierfranco Costabile
Dr. Lin Fu
Guest Editors
Manuscript Submission Information
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Keywords
- disaster risk management
- resilience and environment sustainability
- risk communication
- artificial intelligence
- geoinformatics
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