Articles | Volume 21, issue 5
https://doi.org/10.5194/nhess-21-1467-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-21-1467-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Invited perspectives: Landslide populations – can they be predicted?
Fausto Guzzetti
CORRESPONDING AUTHOR
Dipartimento della Protezione Civile, Presidenza del Consiglio dei
Ministri, via Vitorchiano 2, 00189 Rome, Italy
Istituto di Ricerca per la Protezione Idrogeologica, Consiglio Nazionale delle Ricerche, via della Madonna Alta 126, 06129 Perugia, Italy
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Cited
20 citations as recorded by crossref.
- Short to long term space-time prediction of rain-induced landslides under uncertainty A. Mondini et al.
- Towards hydrometeorological thresholds of reservoir-induced landslide from subsurface strain observations X. Ye et al.
- Spatial distribution patterns and causal mechanisms of rainfall-induced clustered landslides: A case study from Southwestern Yunnan Province, China Z. Xu et al.
- The relations between settlement and selected environmental features with regard to landslide hazard in the Polish Carpathians P. Śleszyński et al.
- Topographic profile and morphology analysis of shallow landslides inside and outside of forests with a semi-automatic mapping approach and bi-temporal airborne laser scanning data L. de Vugt et al.
- Modelling antecedent soil hydrological conditions to improve the prediction of landslide susceptibility in typhoon-prone regions C. Abancó et al.
- Analysis of the fundamental differences between dam-forming landslides and all landslides H. Wu et al.
- A Sentinel-1 Based Hybrid Interferometric Approach to Complement EGMS for Landslides Identification M. Mantovani et al.
- Landslide hazard assessment and mapping at national scale for Malawi Y. Thiery et al.
- Characteristics of loess landslides under the effects of faults and rivers and their correlations with geological and surficial evolutionary processes Q. Liu et al.
- Keynote lecture. Landslide Early Warning Systems: Resources or Problems? F. Guzzetti et al.
- Forecasting landslide deformation by integrating domain knowledge into interpretable deep learning considering spatiotemporal correlations Z. Ma & G. Mei
- Spatiotemporal warning of rainfall-induced railway geohazards in China B. Li et al.
- Deep learning forecast of rainfall-induced shallow landslides A. Mondini et al.
- From typhoon rainfall to slope failure: optimizing susceptibility models and dynamic thresholds for landslide warnings in Zixing City, China W. Xiao et al.
- Beyond and beneath displacement time series: towards InSAR-based early warnings and deformation analysis of the Achoma landslide, Peru B. Dini et al.
- Landslide hazard assessment in parts of upper Bhagirathi Basin: a comparative study using earth observation and machine learning based initiatives in perspective of slope instability P. Mohan et al.
- Landslide initiation thresholds in data-sparse regions: application to landslide early warning criteria in Sitka, Alaska, USA A. Patton et al.
- An optimization-based discrete element model for dry granular flows: Application to granular collapse on erodible beds H. Martin et al.
- Kayma tipi heyelanların farklı duyarlılık modellerinde kombinasyonu: Sakarya Havzası Yukarı Çığırı örneği M. CİHANGİR
20 citations as recorded by crossref.
- Short to long term space-time prediction of rain-induced landslides under uncertainty A. Mondini et al.
- Towards hydrometeorological thresholds of reservoir-induced landslide from subsurface strain observations X. Ye et al.
- Spatial distribution patterns and causal mechanisms of rainfall-induced clustered landslides: A case study from Southwestern Yunnan Province, China Z. Xu et al.
- The relations between settlement and selected environmental features with regard to landslide hazard in the Polish Carpathians P. Śleszyński et al.
- Topographic profile and morphology analysis of shallow landslides inside and outside of forests with a semi-automatic mapping approach and bi-temporal airborne laser scanning data L. de Vugt et al.
- Modelling antecedent soil hydrological conditions to improve the prediction of landslide susceptibility in typhoon-prone regions C. Abancó et al.
- Analysis of the fundamental differences between dam-forming landslides and all landslides H. Wu et al.
- A Sentinel-1 Based Hybrid Interferometric Approach to Complement EGMS for Landslides Identification M. Mantovani et al.
- Landslide hazard assessment and mapping at national scale for Malawi Y. Thiery et al.
- Characteristics of loess landslides under the effects of faults and rivers and their correlations with geological and surficial evolutionary processes Q. Liu et al.
- Keynote lecture. Landslide Early Warning Systems: Resources or Problems? F. Guzzetti et al.
- Forecasting landslide deformation by integrating domain knowledge into interpretable deep learning considering spatiotemporal correlations Z. Ma & G. Mei
- Spatiotemporal warning of rainfall-induced railway geohazards in China B. Li et al.
- Deep learning forecast of rainfall-induced shallow landslides A. Mondini et al.
- From typhoon rainfall to slope failure: optimizing susceptibility models and dynamic thresholds for landslide warnings in Zixing City, China W. Xiao et al.
- Beyond and beneath displacement time series: towards InSAR-based early warnings and deformation analysis of the Achoma landslide, Peru B. Dini et al.
- Landslide hazard assessment in parts of upper Bhagirathi Basin: a comparative study using earth observation and machine learning based initiatives in perspective of slope instability P. Mohan et al.
- Landslide initiation thresholds in data-sparse regions: application to landslide early warning criteria in Sitka, Alaska, USA A. Patton et al.
- An optimization-based discrete element model for dry granular flows: Application to granular collapse on erodible beds H. Martin et al.
- Kayma tipi heyelanların farklı duyarlılık modellerinde kombinasyonu: Sakarya Havzası Yukarı Çığırı örneği M. CİHANGİR
Saved (final revised paper)
Latest update: 09 May 2026
Short summary
This is a perspective based on personal experience on whether a large number of landslides caused by a single trigger (e.g. an earthquake, an intense rainfall, a rapid snowmelt event) or by multiple triggers in a period can be predicted, in space and time, considering the consequences of slope failures.
This is a perspective based on personal experience on whether a large number of landslides...
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