Landslide Prediction, Monitoring and Early Warning
Landslides are among the most severe nautral phenomena in terms of causing human and economic losses worldwide, so it is becoming increasingly urgent tooptimise mitigation strategies to reduce the costs related their occurrence. A number of reliable approaches are currently available for spatially assessing landslide susceptibility and/or hazard on the basin scale. At the same time, potential rainfall or seismic acceleration thresholds can be effectively investigated either by means of deterministic models or statistical approaches, exploiting the large diffusion of remote sensing technologies which have recently opened to scientists access to cyclical recurrent temporal images of the Earth’s surface. Crossing landslide prediction images with triggering threshold settings makes it possible to implement early warning systems suitable for tuning civil protection responses on the basis of the surveillance of seismic or rainfall-inducing factors.
This Topic aims at contributing to the bridging needed between landslide susceptibility/hazard assessment, slope failure models and related earthquake/rainfall triggering thresholds, ground deformation monitoring, and early warning systems. Multidisciplinary contributions are expected from statistical, hydrological, geotechnical, seismological, and geomatical approaches in aadition to contributions on issues related to applied geomorphology.
Prof. Dr. Edoardo Rotigliano
Dr. Pierluigi Confuorto
Dr. Michele Delchiaro
Dr. Chiara Martinello
- landslide susceptibility/hazard assessment and mapping
- rainfall/seismic acceleration threshold investigation
- field/remote technologies for ground deformation monitoring
- landslide early warning system
- landslide risk analysis
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