Utilizing Geographic Information Systems for Sustainable Prediction and Prevention of Disaster Risk
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Environmental Sustainability and Applications".
Deadline for manuscript submissions: 30 September 2026 | Viewed by 33
Special Issue Editors
Interests: geodetic science; GIS; digital twin; risk assessment using geospatial information and disaster management
Special Issue Information
Dear Colleagues,
Rapid climate change, urban expansion, and increasing exposure to natural hazards have intensified the global demand for advanced methodologies capable of predicting and mitigating disaster risk. Geographic Information Systems (GIS), coupled with geodetic techniques, remote sensing, and digital twin technologies, play an essential role in understanding the spatial and temporal behavior of hazards. These integrated geospatial approaches provide a scientific foundation for early warning, vulnerability assessment, and sustainable disaster management.
This Special Issue aims to present innovative GIS-based methods, analytical frameworks, and data-driven solutions that enhance sustainable disaster prediction and prevention. This focus aligns closely with the journal’s scope by advancing geospatial science, environmental assessment, and the application of emerging technologies to improve societal resilience and support informed decision-making.
In this Special Issue, original research articles and reviews are welcome. Research areas may include, but are not limited to, the following: GIS-based hazard prediction and mapping; geospatial digital twins for real-time disaster simulation; multi-sensor geodetic fusion; climate-responsive risk modeling; satellite-based monitoring for early warning; urban and coastal resilience assessment; AI-driven multi-hazard analysis; and geospatial decision support systems for disaster management.
Prof. Dr. Hong Sik Yun
Dr. Seung-Jun Lee
Guest Editors
Manuscript Submission Information
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Keywords
- geographic information systems (GIS)
- disaster risk reduction
- geospatial digital twin
- multi-sensor data fusion
- geodetic monitoring
- remote sensing
- climate-responsive hazard modeling
- multi-hazard assessment
- early warning systems
- AI-driven geospatial analysis
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