Landslides: The Contribution of Multi-Source Multi-Temporal Data for Monitoring, Analysis and Risk Mitigation
A special issue of Geosciences (ISSN 2076-3263). This special issue belongs to the section "Natural Hazards".
Deadline for manuscript submissions: 30 September 2026 | Viewed by 613
Special Issue Editors
Interests: spatial modeling; numerical modeling; landslides; construction risk management
Special Issues, Collections and Topics in MDPI journals
Interests: landslides; early warning; risk management
Special Issues, Collections and Topics in MDPI journals
Interests: heat transfer; numerical analysis; construction; environmental impact assessment; landslides; railway; convection; environment
Special Issues, Collections and Topics in MDPI journals
Interests: landslide; subsidence; risk; geotechnics; monitoring; remote sensing
Interests: perilous rock; intelligent early warning; resilience enhancement
2. Faculty of Engineering, China University of Geosciences, Wuhan 430074, China
Interests: natural hazards; landslide risk analysis; numerical modelling; spatial analysis; hazard assessment; machine learning models; run-out analysis; susceptibility
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Landslides pose significant threats to human lives, infrastructure, and ecosystems, particularly in regions with complex terrain and extreme weather conditions. This Special Issue focuses on advancing interdisciplinary research to address the challenges of landslide prediction, monitoring, and mitigation. We aim to highlight innovative methodologies and technologies for landslide detection, such as remote sensing, real-time sensor networks, and AI-driven data analysis. Contributions are also welcome to explore advanced numerical modeling and statistical approaches to assess landslide susceptibility, triggering mechanisms, and dynamic behavior under varying environmental stressors.
Key emphasis is placed on integrating geotechnical, hydrological, and geospatial data to enhance early warning systems and risk assessment frameworks. This Special Issue aims to further examine practical strategies for risk reduction, including nature-based solutions, engineering interventions, and community-centric resilience planning. Case studies from diverse geographical settings are encouraged to provide insights into site-specific challenges and adaptive management practices.
By bridging gaps between theoretical research and on-ground applications, this Special Issue aims to foster collaboration among geoscientists, engineers, policymakers, and stakeholders. It seeks to promote sustainable landslide management practices that align with global climate adaptation goals, ultimately contributing to safer and more resilient communities worldwide. Submissions are invited to focus on cutting-edge research, reviews, and multidisciplinary approaches addressing the full spectrum of landslide science and risk governance.
Dr. Taorui Zeng
Prof. Dr. Kunlong Yin
Prof. Dr. Wenbing Yu
Dr. Dario Peduto
Prof. Dr. Linfeng Wang
Dr. Zizheng Guo
Guest Editors
Manuscript Submission Information
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Keywords
- landslides
- risk
- hazard
- susceptibility
- vulnerability
- monitoring
- remote sensing
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