Prediction of Ground Displacement and Landslide Susceptibility Based on Past Relevant Data
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Earth Observation for Emergency Management".
Deadline for manuscript submissions: closed (15 June 2023) | Viewed by 2850
Special Issue Editor
Interests: modeling and simulation; numerical modeling; earthquake engineering; urban planning; civil engineering; geology; geographic information system
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Landslides involve excessive movement of natural and man-made slopes, usually along a slip surface, often triggered by prolonged rainfall or earthquakes. They are one of the most destructive hazards in the world. Furthermore, in many arid planar regions of the world, ground subsidence induced by the lowering of the water table line due to pumping has recently caused damage to houses and other overlying structures. Landslides occurrences and ground subsidence are expected to increase in the near future as a result of global warming, where rainfall patterns are changing.
The significance of the hazard describe above generates the need to study and propose prediction methods both in a regional and global scale. Recently, rigorous machine learning methods have been applied in regional landslide susceptibility mapping in terms of landslide inventory maps and relevant factors affecting ground instability. In addition, recently new technologies, such as space interferometry have been developed which provide cost-effective measurements of past ground displacement data. Furthermore, past ground subsidence data has recently been analyzed in order to provide in-situ measurement of the underlying soil consolidation process, needed for the prediction of future ground subsidence.
Yet, application of such modern methods, technologies and analyses in ground displacement and landslide susceptibility are still in a preliminary investigative stage. This special issue of Remote Sensing invites papers in the interesting and timely topic of “Prediction of ground displacement and landslide susceptibility based on past relevent data”.
Dr. Constantine Stamatopoulos
Guest Editor
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Keywords
- landslides
- slope instability
- ground subsidence
- measurement of ground displacement
- prediction of ground displacement
- rainfall
- earthquakes
- pumping
