Landslide Dynamics and Analysis: From the State of the Art to New Perspectives
A special issue of Geosciences (ISSN 2076-3263). This special issue belongs to the section "Natural Hazards".
Deadline for manuscript submissions: 1 December 2025 | Viewed by 135
Special Issue Editors
Interests: landslide mapping and monitoring; land subsidence; remote sensing data interpretation; geohazard monitoring; EO techniques
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Landslides are among the most significant natural threats to human lives, infrastructure, and ecosystems worldwide, pushing governments and scientists to develop reliable and operational strategies for reducing risk and mitigating damage. In the context of land-use planning and raising awareness in at-risk communities, landslide monitoring is a key tool to understand the spatio-temporal behaviour of these phenomena. The increasing availability of advanced tools and datasets has revolutionised our ability to detect, analyse, and predict these hazards.
This Special Issue invites contributions focusing on innovative approaches to data acquisition, integration, and analysis. Particular attention is given to multidisciplinary, multi-temporal, and multi-platform studies employing characterising slope movements, as well as real-time, near-real-time, or deferred monitoring strategies, combining in situ measurements and remote sensing technologies. Case studies demonstrating practical applications of traditional and cutting-edge approaches to landslide dynamics are strongly encouraged, as is research addressing challenges such as big data management, exploiting machine learning techniques, and time-lapse investigations.
Bringing together different perspectives and methodologies, this Special Issue will improve scientific understanding, starting from the state-of-the-art applications and looking to future developments and scientific perspectives regarding landslide research. The contributions may provide valuable insights into landslide characterisation and monitoring, having positive implications on landslide risk management.
The contributions can cover topics including, but are not limited to, the following:
- State-of-the-art methods for landslide detection, monitoring, and analysis;
- Advances in multidisciplinary approaches used to characterise landslide dynamics;
- Machine learning and time-lapse investigations for landslide big data management;
- Real-time landslide monitoring.
We look forward to receiving your original research articles and reviews.
Dr. Matteo Del Soldato
Dr. Camilla Medici
Guest Editors
Manuscript Submission Information
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Keywords
- landslide detection and monitoring
- landslide risk assessment
- remote sensing techniques
- in situ measurements
- big data management
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