Articles | Volume 15, issue 7
https://doi.org/10.5194/nhess-15-1639-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/nhess-15-1639-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Landslide early warning based on failure forecast models: the example of the Mt. de La Saxe rockslide, northern Italy
Geohazard Monitoring Group, CNR IRPI, Strada delle Cacce 73, 10135 Turin, Italy
now at: Swiss Federal Institute of Technology, Department of Earth Sciences, Zurich, Switzerland
D. Giordan
Geohazard Monitoring Group, CNR IRPI, Strada delle Cacce 73, 10135 Turin, Italy
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Cited
47 citations as recorded by crossref.
- What do trees reveal about the sliding of the lateral moraine of the Belvedere Glacier (western Italian Alps)? I. Bollati et al. https://doi.org/10.14712/23361980.2024.14
- Forecasting the landslide evolution: from theory to practice L. Cascini et al. https://doi.org/10.1007/s10346-022-01934-3
- Satellite-based identification of co-seismic landslides and slow-moving landslides after earthquakes F. Zhao et al. https://doi.org/10.1007/s10346-025-02689-3
- Monitoring Surface Deformation over a Failing Rock Slope with the ESA Sentinels: Insights from Moosfluh Instability, Swiss Alps A. Manconi et al. https://doi.org/10.3390/rs10050672
- Integration of robotic total station and digital image correlation to assess the three-dimensional surface kinematics of a landslide N. Dematteis et al. https://doi.org/10.1016/j.enggeo.2022.106655
- Piuro Landslide: 3D Hydromechanical Numerical Modelling of the 1618 Event A. Morcioni et al. https://doi.org/10.3390/geosciences13020049
- A Landslide Monitoring System for Natural Terrain in Korea: Development and Application in Hazard Evaluations Y. Song et al. https://doi.org/10.3390/s21093040
- Landslide time-of-failure forecast and alert threshold assessment: A generalized criterion A. Segalini et al. https://doi.org/10.1016/j.enggeo.2018.08.003
- Image Classification for Automated Image Cross-Correlation Applications in the Geosciences N. Dematteis et al. https://doi.org/10.3390/app9112357
- Landslide evolution assessment based on InSAR and real-time monitoring of a large reactivated landslide, Wenchuan, China M. Xie et al. https://doi.org/10.1016/j.enggeo.2020.105781
- Probabilistic prediction of slope failure time J. Zhang et al. https://doi.org/10.1016/j.enggeo.2020.105586
- Brief Communication: On the rapid and efficient monitoring results dissemination in landslide emergency scenarios: the Mont de La Saxe case study D. Giordan et al. https://doi.org/10.5194/nhess-15-2009-2015
- Successive landsliding and damming of the Jinsha River in eastern Tibet, China: prime investigation, early warning, and emergency response X. Fan et al. https://doi.org/10.1007/s10346-019-01159-x
- Chasing a complete understanding of the failure mechanisms and potential hazards of the slow moving Liangshuijing landslide Y. Li et al. https://doi.org/10.1016/j.enggeo.2020.105977
- Adaptive landslide monitoring in wireless sensor networks using FLPSO-based MIP systems L. K et al. https://doi.org/10.1016/j.rineng.2025.104329
- Landslide forecasting and factors influencing predictability E. Intrieri & G. Gigli https://doi.org/10.5194/nhess-16-2501-2016
- Entering the Era of Earth Observation-Based Landslide Warning Systems: A Novel and Exciting Framework K. Dai et al. https://doi.org/10.1109/MGRS.2019.2954395
- Development of an algorithm for automatic elaboration, representation and dissemination of landslide monitoring data A. Wrzesniak & D. Giordan https://doi.org/10.1080/19475705.2017.1392369
- Landslide monitoring and maintenance plan along infrastructure: the example of the Maratea major rockfall (Southern Italy) A. Santo & L. Massaro https://doi.org/10.1007/s10346-024-02409-3
- A dynamic evaluation method for slope safety with monitoring information based on a hybrid intelligence algorithm C. Wang et al. https://doi.org/10.1016/j.compgeo.2023.105772
- Event-based mapping and spatial pattern analysis of landslides in parts of central Vietnam R. Das et al. https://doi.org/10.1007/s11069-025-07670-w
- Landslide displacement prediction from on-site deformation data based on time series ARIMA model Z. Wang et al. https://doi.org/10.3389/fenvs.2023.1249743
- Slope stability and rockfall assessment of volcanic tuffs using RPAS with 2-D FEM slope modelling Á. Török et al. https://doi.org/10.5194/nhess-18-583-2018
- Detailed and large-scale cost/benefit analyses of landslide prevention vs. post-event actions G. Salbego et al. https://doi.org/10.5194/nhess-15-2461-2015
- Slope displacement prediction using sequential intelligent computing algorithms C. Liu et al. https://doi.org/10.1016/j.measurement.2018.10.094
- Assessment of Landslide Pre-Failure Monitoring and Forecasting Using Satellite SAR Interferometry S. Moretto et al. https://doi.org/10.3390/geosciences7020036
- Monitoring strategies for local landslide early warning systems G. Pecoraro et al. https://doi.org/10.1007/s10346-018-1068-z
- Artificial Intelligence and Physics-Informed Modeling for Rock Slope Engineering: Progress, Challenges, and Future Directions H. Liu et al. https://doi.org/10.3390/buildings16101864
- The Importance of a Dedicated Monitoring Solution and Communication Strategy for an Effective Management of Complex Active Landslides in Urbanized Areas D. Giordan et al. https://doi.org/10.3390/su11040946
- Method to Realize the Tilt Monitoring and Instability Prediction of Hazardous Rock on Slopes Z. He et al. https://doi.org/10.1155/2021/9965113
- Design and implementation of site-specific rainfall-induced landslide early warning and monitoring system: a case study at Nam Dan landslide (Vietnam) Q. Gian et al. https://doi.org/10.1080/19475705.2017.1401561
- Landslide Displacement Prediction during the Sliding Process Using XGBoost, SVR and RNNs J. Xu et al. https://doi.org/10.3390/app12126056
- Relations between climate change and mass movement: Perspectives from the Canadian Cordillera and the European Alps M. Chiarle et al. https://doi.org/10.1016/j.gloplacha.2021.103499
- Failure mechanism and early warning of an excavation-induced soil landslide Y. Wu et al. https://doi.org/10.3389/feart.2024.1410011
- Bayesian machine learning-based method for prediction of slope failure time J. Zhang et al. https://doi.org/10.1016/j.jrmge.2021.09.010
- Remote Sensing Analysis of Geologic Hazards D. Giordan et al. https://doi.org/10.3390/rs14194818
- Innovative approach for experimental investigation and monitoring and warning of the evolutionary patterns of dam body failure in earth dams Y. Xu et al. https://doi.org/10.1038/s41598-025-97057-5
- Use of Quantile Regression with Fukui–Okubo Model for Prediction and Early Warning of Reservoir Bank Slope Failure M. Chen et al. https://doi.org/10.1007/s00603-022-02975-9
- Classification and kinematics of the Planpincieux Glacier break-offs using photographic time-lapse analysis D. Giordan et al. https://doi.org/10.1017/jog.2019.99
- An early warning system integrating time-of-failure analysis and alert procedure for slope failures M. Chen & Q. Jiang https://doi.org/10.1016/j.enggeo.2020.105629
- An early-warning method for rock failure based on Hurst exponent in acoustic emission/microseismic activity monitoring Z. Li & R. Xu https://doi.org/10.1007/s10064-021-02446-5
- An approach for prospective forecasting of rock slope failure time J. Leinauer et al. https://doi.org/10.1038/s43247-023-00909-z
- Definition and performance of a threshold-based regional early warning model for rainfall-induced landslides L. Piciullo et al. https://doi.org/10.1007/s10346-016-0750-2
- A novel displacement prediction method using gated recurrent unit model with time series analysis in the Erdaohe landslide Y. Zhang et al. https://doi.org/10.1007/s11069-020-04337-6
- A new early warning criterion for landslides movement assessment: Deformation Standardized Anomaly Index J. Zhang et al. https://doi.org/10.1007/s10064-024-03672-3
- State fusion entropy for continuous and site-specific analysis of landslide stability changing regularities Y. Liu et al. https://doi.org/10.5194/nhess-18-1187-2018
- Geophysical Monitoring of Moisture‐Induced Landslides: A Review J. Whiteley et al. https://doi.org/10.1029/2018RG000603
47 citations as recorded by crossref.
- What do trees reveal about the sliding of the lateral moraine of the Belvedere Glacier (western Italian Alps)? I. Bollati et al. https://doi.org/10.14712/23361980.2024.14
- Forecasting the landslide evolution: from theory to practice L. Cascini et al. https://doi.org/10.1007/s10346-022-01934-3
- Satellite-based identification of co-seismic landslides and slow-moving landslides after earthquakes F. Zhao et al. https://doi.org/10.1007/s10346-025-02689-3
- Monitoring Surface Deformation over a Failing Rock Slope with the ESA Sentinels: Insights from Moosfluh Instability, Swiss Alps A. Manconi et al. https://doi.org/10.3390/rs10050672
- Integration of robotic total station and digital image correlation to assess the three-dimensional surface kinematics of a landslide N. Dematteis et al. https://doi.org/10.1016/j.enggeo.2022.106655
- Piuro Landslide: 3D Hydromechanical Numerical Modelling of the 1618 Event A. Morcioni et al. https://doi.org/10.3390/geosciences13020049
- A Landslide Monitoring System for Natural Terrain in Korea: Development and Application in Hazard Evaluations Y. Song et al. https://doi.org/10.3390/s21093040
- Landslide time-of-failure forecast and alert threshold assessment: A generalized criterion A. Segalini et al. https://doi.org/10.1016/j.enggeo.2018.08.003
- Image Classification for Automated Image Cross-Correlation Applications in the Geosciences N. Dematteis et al. https://doi.org/10.3390/app9112357
- Landslide evolution assessment based on InSAR and real-time monitoring of a large reactivated landslide, Wenchuan, China M. Xie et al. https://doi.org/10.1016/j.enggeo.2020.105781
- Probabilistic prediction of slope failure time J. Zhang et al. https://doi.org/10.1016/j.enggeo.2020.105586
- Brief Communication: On the rapid and efficient monitoring results dissemination in landslide emergency scenarios: the Mont de La Saxe case study D. Giordan et al. https://doi.org/10.5194/nhess-15-2009-2015
- Successive landsliding and damming of the Jinsha River in eastern Tibet, China: prime investigation, early warning, and emergency response X. Fan et al. https://doi.org/10.1007/s10346-019-01159-x
- Chasing a complete understanding of the failure mechanisms and potential hazards of the slow moving Liangshuijing landslide Y. Li et al. https://doi.org/10.1016/j.enggeo.2020.105977
- Adaptive landslide monitoring in wireless sensor networks using FLPSO-based MIP systems L. K et al. https://doi.org/10.1016/j.rineng.2025.104329
- Landslide forecasting and factors influencing predictability E. Intrieri & G. Gigli https://doi.org/10.5194/nhess-16-2501-2016
- Entering the Era of Earth Observation-Based Landslide Warning Systems: A Novel and Exciting Framework K. Dai et al. https://doi.org/10.1109/MGRS.2019.2954395
- Development of an algorithm for automatic elaboration, representation and dissemination of landslide monitoring data A. Wrzesniak & D. Giordan https://doi.org/10.1080/19475705.2017.1392369
- Landslide monitoring and maintenance plan along infrastructure: the example of the Maratea major rockfall (Southern Italy) A. Santo & L. Massaro https://doi.org/10.1007/s10346-024-02409-3
- A dynamic evaluation method for slope safety with monitoring information based on a hybrid intelligence algorithm C. Wang et al. https://doi.org/10.1016/j.compgeo.2023.105772
- Event-based mapping and spatial pattern analysis of landslides in parts of central Vietnam R. Das et al. https://doi.org/10.1007/s11069-025-07670-w
- Landslide displacement prediction from on-site deformation data based on time series ARIMA model Z. Wang et al. https://doi.org/10.3389/fenvs.2023.1249743
- Slope stability and rockfall assessment of volcanic tuffs using RPAS with 2-D FEM slope modelling Á. Török et al. https://doi.org/10.5194/nhess-18-583-2018
- Detailed and large-scale cost/benefit analyses of landslide prevention vs. post-event actions G. Salbego et al. https://doi.org/10.5194/nhess-15-2461-2015
- Slope displacement prediction using sequential intelligent computing algorithms C. Liu et al. https://doi.org/10.1016/j.measurement.2018.10.094
- Assessment of Landslide Pre-Failure Monitoring and Forecasting Using Satellite SAR Interferometry S. Moretto et al. https://doi.org/10.3390/geosciences7020036
- Monitoring strategies for local landslide early warning systems G. Pecoraro et al. https://doi.org/10.1007/s10346-018-1068-z
- Artificial Intelligence and Physics-Informed Modeling for Rock Slope Engineering: Progress, Challenges, and Future Directions H. Liu et al. https://doi.org/10.3390/buildings16101864
- The Importance of a Dedicated Monitoring Solution and Communication Strategy for an Effective Management of Complex Active Landslides in Urbanized Areas D. Giordan et al. https://doi.org/10.3390/su11040946
- Method to Realize the Tilt Monitoring and Instability Prediction of Hazardous Rock on Slopes Z. He et al. https://doi.org/10.1155/2021/9965113
- Design and implementation of site-specific rainfall-induced landslide early warning and monitoring system: a case study at Nam Dan landslide (Vietnam) Q. Gian et al. https://doi.org/10.1080/19475705.2017.1401561
- Landslide Displacement Prediction during the Sliding Process Using XGBoost, SVR and RNNs J. Xu et al. https://doi.org/10.3390/app12126056
- Relations between climate change and mass movement: Perspectives from the Canadian Cordillera and the European Alps M. Chiarle et al. https://doi.org/10.1016/j.gloplacha.2021.103499
- Failure mechanism and early warning of an excavation-induced soil landslide Y. Wu et al. https://doi.org/10.3389/feart.2024.1410011
- Bayesian machine learning-based method for prediction of slope failure time J. Zhang et al. https://doi.org/10.1016/j.jrmge.2021.09.010
- Remote Sensing Analysis of Geologic Hazards D. Giordan et al. https://doi.org/10.3390/rs14194818
- Innovative approach for experimental investigation and monitoring and warning of the evolutionary patterns of dam body failure in earth dams Y. Xu et al. https://doi.org/10.1038/s41598-025-97057-5
- Use of Quantile Regression with Fukui–Okubo Model for Prediction and Early Warning of Reservoir Bank Slope Failure M. Chen et al. https://doi.org/10.1007/s00603-022-02975-9
- Classification and kinematics of the Planpincieux Glacier break-offs using photographic time-lapse analysis D. Giordan et al. https://doi.org/10.1017/jog.2019.99
- An early warning system integrating time-of-failure analysis and alert procedure for slope failures M. Chen & Q. Jiang https://doi.org/10.1016/j.enggeo.2020.105629
- An early-warning method for rock failure based on Hurst exponent in acoustic emission/microseismic activity monitoring Z. Li & R. Xu https://doi.org/10.1007/s10064-021-02446-5
- An approach for prospective forecasting of rock slope failure time J. Leinauer et al. https://doi.org/10.1038/s43247-023-00909-z
- Definition and performance of a threshold-based regional early warning model for rainfall-induced landslides L. Piciullo et al. https://doi.org/10.1007/s10346-016-0750-2
- A novel displacement prediction method using gated recurrent unit model with time series analysis in the Erdaohe landslide Y. Zhang et al. https://doi.org/10.1007/s11069-020-04337-6
- A new early warning criterion for landslides movement assessment: Deformation Standardized Anomaly Index J. Zhang et al. https://doi.org/10.1007/s10064-024-03672-3
- State fusion entropy for continuous and site-specific analysis of landslide stability changing regularities Y. Liu et al. https://doi.org/10.5194/nhess-18-1187-2018
- Geophysical Monitoring of Moisture‐Induced Landslides: A Review J. Whiteley et al. https://doi.org/10.1029/2018RG000603
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