116 citations as recorded by crossref.

1. Monitoring the Potoška planina landslide (NW Slovenia) using UAV photogrammetry and tachymetric measurements T. Peternel et al. https://doi.org/10.1007/s10346-016-0759-6
2. Early warning models for rainfall-triggered clustered landslides: Advances, challenges and future perspectives C. Xie & C. Xu https://doi.org/10.1016/j.gespch.2026.100030
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4. Preface: Landslide early warning systems: monitoring systems, rainfall thresholds, warning models, performance evaluation and risk perception S. Segoni et al. https://doi.org/10.5194/nhess-18-3179-2018
5. Technical Note: An operational landslide early warning system at regional scale based on space–time-variable rainfall thresholds S. Segoni et al. https://doi.org/10.5194/nhess-15-853-2015
6. Fusion of SAR Interferometry and Polarimetry Methods for Landslide Reactivation Study, the Bureya River (Russia) Event Case Study V. Bondur et al. https://doi.org/10.3390/rs13245136
7. Monitoring the risk of a tailings dam collapse through spectral analysis of satellite InSAR time-series data S. Das et al. https://doi.org/10.1007/s00477-024-02713-3
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9. Hidden rock mass state theory: A physics-informed state estimation framework for next-generation Digital Twins in open-pit rock engineering C. Aksoy https://doi.org/10.1016/j.ijrmms.2026.106740
10. Deep Learning Framework for Early Warning of Shear Failure in Jointed Rock Masses Z. Yao et al. https://doi.org/10.1007/s00603-026-05691-w
11. The Rio de Janeiro early warning system for rainfall-induced landslides: Analysis of performance for the years 2010–2013 M. Calvello et al. https://doi.org/10.1016/j.ijdrr.2014.10.005
12. GTSNet: A Global Topography-Aware Segmentation Network for Remote Sensing Identification of Unstable Rock Masses B. Lyu et al. https://doi.org/10.3390/rs18152445
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14. Geomorphological analysis and early warning systems for landslide risk mitigation in Nepalese mid-hills P. Thapa et al. https://doi.org/10.1007/s11069-023-05929-8
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16. A generalized early warning criterion for the landslide risk assessment: deformation probability index (DPI) J. Zhang et al. https://doi.org/10.1007/s11440-023-02199-3
17. Model and criteria for slope monitoring and early warning in open-pit mines using ground-based real aperture radar H. Ding et al. https://doi.org/10.1007/s12665-024-11863-0
18. A Fast Deploying Monitoring and Real-Time Early Warning System for the Baige Landslide in Tibet, China Y. Wu et al. https://doi.org/10.3390/s20226619
19. Multi-sensor monitoring of an active rockfall site in Manikaran, Himachal Pradesh, India R. Dhiman et al. https://doi.org/10.1007/s42452-026-09155-2
20. Analyzing the effects of critical active waveguide parameters on acoustic emission characteristics for soil slope deformation monitoring D. Kumar et al. https://doi.org/10.1007/s10064-024-03857-w
21. Landslide displacement prediction based on Variational mode decomposition and MIC-GWO-LSTM model Z. Taorui et al. https://doi.org/10.1007/s00477-021-02145-3
22. Low-Cost Sensor-Based and LoRaWAN Opportunities for Landslide Monitoring Systems on IoT Platform: A Review S. Bagwari et al. https://doi.org/10.1109/ACCESS.2021.3137841
23. Adaptive interval prediction method for step-like landslide displacement with dynamic switching between different deformation states Y. Zhang et al. https://doi.org/10.1007/s10064-023-03418-7
24. Event scenario analysis for the design of rockslide countermeasures G. Gigli et al. https://doi.org/10.1007/s11629-014-3164-4
25. How much does the rainfall temporal resolution affect rainfall thresholds for landslide triggering? S. Gariano et al. https://doi.org/10.1007/s11069-019-03830-x
26. An operational IoT-based slope stability forecast using a digital twin L. Piciullo et al. https://doi.org/10.1016/j.envsoft.2024.106228
27. Landslide detection, monitoring and prediction with remote-sensing techniques N. Casagli et al. https://doi.org/10.1038/s43017-022-00373-x
28. The role of the spatial scale and data accuracy on deep-seated gravitational slope deformation modeling: The Ronco landslide, Italy L. Longoni et al. https://doi.org/10.1016/j.geomorph.2015.09.030
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30. Remote Sensing Precursors Analysis for Giant Landslides H. Lan et al. https://doi.org/10.3390/rs14174399
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32. 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
33. Application of the method for prediction of the failure location and time based on monitoring of a slope using synthetic aperture radar Y. Zhang et al. https://doi.org/10.1007/s12665-021-09989-6
34. Experiences from site-specific landslide early warning systems C. Michoud et al. https://doi.org/10.5194/nhess-13-2659-2013
35. Sinkhole monitoring and early warning: An experimental and successful GB-InSAR application E. Intrieri et al. https://doi.org/10.1016/j.geomorph.2015.04.018
36. Observation Method in the Control of Stacker Capacity Under Landslide Hazard – A Case Study M. Bąk & I. Bagińska https://doi.org/10.2478/sgem-2022-0013
37. Quantifying the effective reliability of geotechnical high-alpine real-time monitoring systems J. Leinauer & M. Krautblatter https://doi.org/10.1016/j.enggeo.2026.108984
38. 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
39. Continuous, semi-automatic monitoring of ground deformation using Sentinel-1 satellites F. Raspini et al. https://doi.org/10.1038/s41598-018-25369-w
40. Towards a landslide early warning system for South Africa: Model coupling and evaluation J. van Tol & J. Kotzé https://doi.org/10.17159/sajs.2026/22201
41. A Tool for the Automatic Aggregation and Validation of the Results of Physically Based Distributed Slope Stability Models M. Bulzinetti et al. https://doi.org/10.3390/w13172313
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43. Assessing the performance of regional landslide early warning models: the EDuMaP method M. Calvello & L. Piciullo https://doi.org/10.5194/nhess-16-103-2016
44. Rapid characterisation of landslide heterogeneity using unsupervised classification of electrical resistivity and seismic refraction surveys J. Whiteley et al. https://doi.org/10.1016/j.enggeo.2021.106189
45. Landslide Susceptibility Mapping of Central and Western Greece, Combining NGI and WoE Methods, with Remote Sensing and Ground Truth Data C. Kontoes et al. https://doi.org/10.3390/land10040402
46. Structural study of a deep-seated rock landslide using seismic noise H. Wang et al. https://doi.org/10.1007/s10064-025-04603-6
47. A web-based platform for automatic and continuous landslide monitoring: The Rotolon (Eastern Italian Alps) case study S. Frigerio et al. https://doi.org/10.1016/j.cageo.2013.10.015
48. Basic features of the predictive tools of early warning systems for water-related natural hazards: examples for shallow landslides R. Greco & L. Pagano https://doi.org/10.5194/nhess-17-2213-2017
49. When hazard avoidance is not an option: lessons learned from monitoring the postdisaster Oso landslide, USA M. Reid et al. https://doi.org/10.1007/s10346-021-01686-6
50. Application of advanced geophysical and photogrammetric methods in modeling and monitoring an active landslide: A case study from Podhale (Southern Poland) M. Kamiński https://doi.org/10.1016/j.enggeo.2025.108484
51. Creep response in shear of clayey geo-materials under saturated and unsaturated conditions N. Mohd Nazer et al. https://doi.org/10.1051/e3sconf/20160914023
52. GB-InSAR monitoring of slope deformations in a mountainous area affected by debris flow events W. Frodella et al. https://doi.org/10.5194/nhess-17-1779-2017
53. Application of the terrestrial laser scanner in the monitoring of earth structures J. Kogut & E. Pilecka https://doi.org/10.1515/geo-2020-0033
54. Displacement prediction of step-like landslide by applying a novel kernel extreme learning machine method C. Zhou et al. https://doi.org/10.1007/s10346-018-1022-0
55. Enhancing the reliability of landslide early warning systems by machine learning H. Thirugnanam et al. https://doi.org/10.1007/s10346-020-01453-z
56. Machine Learning: New Potential for Local and Regional Deep-Seated Landslide Nowcasting A. van Natijne et al. https://doi.org/10.3390/s20051425
57. ADVICE: A New Approach for Near-Real-Time Monitoring of Surface Displacements in Landslide Hazard Scenarios P. Allasia et al. https://doi.org/10.3390/s130708285
58. Hazard mitigation and stabilization of subgrade slopes: advances and comparisons between China and Europe H. Yu et al. https://doi.org/10.1093/tse/tdag008
59. Big data managing in a landslide early warning system: experience from a ground-based interferometric radar application E. Intrieri et al. https://doi.org/10.5194/nhess-17-1713-2017
60. Physically based and distributed rainfall intensity and duration thresholds for shallow landslides R. Marin https://doi.org/10.1007/s10346-020-01481-9
61. Critical threshold mining of landslide deformation and intelligent early-warning methods based on multi-factor fusion D. Liu et al. https://doi.org/10.1007/s10064-024-03841-4
62. Using Complementary Ensemble Empirical Mode Decomposition and Gated Recurrent Unit to Predict Landslide Displacements in Dam Reservoir B. Yang et al. https://doi.org/10.3390/s22041320
63. Satellite Interferometry as a Tool for Early Warning and Aiding Decision Making in an Open-Pit Mine E. Intrieri et al. https://doi.org/10.1109/JSTARS.2019.2953339
64. The First International Workshop on Warning Criteria for Active Slides: technical issues, problems and solutions for managing early warning systems C. Cloutier et al. https://doi.org/10.1007/s10346-014-0530-9
65. Safety monitoring and effect analysis of fracturing body on the right bank of Pubugou reservoir head in China based on space-ground-body monitoring mode H. Liang et al. https://doi.org/10.1007/s10346-024-02230-y
66. Double-threshold validation tool (DTVT): From landslide hazard maps to operational early warning systems N. Nocentini et al. https://doi.org/10.1016/j.ijdrr.2025.105786
67. Monitoring strategies for local landslide early warning systems G. Pecoraro et al. https://doi.org/10.1007/s10346-018-1068-z
68. Hydraulic response and stability of a reservoir slope with landslide potential under the combined effect of rainfall and water level fluctuation M. Chen et al. https://doi.org/10.1007/s12665-020-09279-7
69. Systèmes d’alerte précoce pour les aléas naturels et environnementaux : virage ou mirage technologique ? D. Didier et al. https://doi.org/10.7202/1042922ar
70. Monitoring and prediction in early warning systems for rapid mass movements M. Stähli et al. https://doi.org/10.5194/nhess-15-905-2015
71. A Method for Predicting Landslides Based on Micro-Deformation Monitoring Radar Data W. Tan et al. https://doi.org/10.3390/rs15030826
72. Utilizing crowdsourcing to enhance the mitigation and management of landslides C. Choi et al. https://doi.org/10.1007/s10346-018-1034-9
73. 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
74. Quantifying the effectiveness of early warning systems for natural hazards M. Sättele et al. https://doi.org/10.5194/nhess-16-149-2016
75. Geological monitoring networks for risk management close to large rock cliffs: the case history of Gallivaggio and Cataeggio in the italian Alps L. Dei Cas et al. https://doi.org/10.5194/gh-76-85-2021
76. A simple method to help determine landslide susceptibility from spaceborne InSAR data: the Montescaglioso case study T. Carlà et al. https://doi.org/10.1007/s12665-016-6308-8
77. Long-term geoelectrical monitoring of landslides in natural and engineered slopes J. Chambers et al. https://doi.org/10.1190/tle41110768.1
78. Probabilistic landslide ensemble prediction systems: lessons to be learned from hydrology E. Canli et al. https://doi.org/10.5194/nhess-18-2183-2018
79. A statistical-based approach for determining the intensity of unrest phases at Stromboli volcano (Southern Italy) using one-step-ahead forecasts of displacement time series T. Carlà et al. https://doi.org/10.1007/s11069-016-2451-5
80. Development of community-based landslide early warning system in the earthquake-affected areas of Nepal Himalaya P. Thapa & B. Adhikari https://doi.org/10.1007/s11629-019-5586-5
81. Alert threshold assessment based on equivalent displacements for the identification of potentially critical landslide events A. Valletta et al. https://doi.org/10.1007/s11069-022-05606-2
82. Displacement residuals reveal landslide regime shifts L. Nava et al. https://doi.org/10.1007/s10346-024-02353-2
83. Acoustic emission characterization of soil shear deformation using active waveguide systems D. Kumar et al. https://doi.org/10.1080/10589759.2026.2752382
84. Contrasting slope histories under similar final-window rainfall in rock-slope failures: implications for monitoring M. Li et al. https://doi.org/10.3389/feart.2026.1980922
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