Landslide Behavior: From Monitoring to Kinematic Characterization through Both Traditional and Innovative Approaches
A special issue of Geosciences (ISSN 2076-3263). This special issue belongs to the section "Natural Hazards".
Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 9940
Special Issue Editors
Interests: landslide; remote sensing; numerical modeling; laboratory tests
Interests: SAR; InSAR; multi-temporal analysis; cryosphere; natural hazards
Special Issues, Collections and Topics in MDPI journals
Interests: landslide; remote sensing; numerical modeling; rock mechanics
Interests: landslide mechanism; rock slope movement and stability; landslide susceptibility; engineering geology; engineering geomorphology; landscape evolution
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The characterization of landslide kinematics is a challenging task, but can represent a fundamental source of knowledge to derive important information for the prediction of the expected behavior of landslides over years, and to define efficient risk mitigation strategies. That goal that is routinely achieved via geological and geomorphological methods and the monitoring of displacements (both on ground and at depth) obtained by geotechnical and, more recently, advanced remote sensing techniques (e.g., InSAR). The integration of different data from several monitoring systems is becoming fundamental to get a more detailed view and a deeper understanding of the involved phenomena. This Special Issue entitled “Landslide behavior: from monitoring to kinematic characterization through both traditional and innovative approaches” is expected to collect scientific peer-reviewed contributions that provide advancements in the interpretation of active landslide processes, with regard to the role of specific factors (geometrical and geological landslide features, the pore water pressure regime, the soil mobilized strength, the soil viscosity, etc.). Accepted manuscripts may cover one of these topics:
- Characterization of landslide behavior with remote sensing and local monitoring systems data integration;
- Analysis of landslide phenomena by remote sensing through time. Geomorphological field evidence as ground truthing is welcome;
- Use of both remote sensing and local data to obtain numerical and empirical models for landslides’ kinematic behavior;
- Risk assessment and landslide impacts through remote sensing and local monitoring systems data.
Dr. Stefano Alberti
Dr. Pietro Milillo
Dr. Margherita Cecilia Spreafico
Dr. Siyuan Zhao
Guest Editors
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