93 citations as recorded by crossref.

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29. 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. 10.5194/nhess-15-2009-2015
30. Continuous, semi-automatic monitoring of ground deformation using Sentinel-1 satellites F. Raspini et al. 10.1038/s41598-018-25369-w
31. A Tool for the Automatic Aggregation and Validation of the Results of Physically Based Distributed Slope Stability Models M. Bulzinetti et al. 10.3390/w13172313
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33. Assessing the performance of regional landslide early warning models: the EDuMaP method M. Calvello & L. Piciullo 10.5194/nhess-16-103-2016
34. Rapid characterisation of landslide heterogeneity using unsupervised classification of electrical resistivity and seismic refraction surveys J. Whiteley et al. 10.1016/j.enggeo.2021.106189
35. Landslide Susceptibility Mapping of Central and Western Greece, Combining NGI and WoE Methods, with Remote Sensing and Ground Truth Data C. Kontoes et al. 10.3390/land10040402
36. A web-based platform for automatic and continuous landslide monitoring: The Rotolon (Eastern Italian Alps) case study S. Frigerio et al. 10.1016/j.cageo.2013.10.015
37. Basic features of the predictive tools of early warning systems for water-related natural hazards: examples for shallow landslides R. Greco & L. Pagano 10.5194/nhess-17-2213-2017
38. When hazard avoidance is not an option: lessons learned from monitoring the postdisaster Oso landslide, USA M. Reid et al. 10.1007/s10346-021-01686-6
39. Creep response in shear of clayey geo-materials under saturated and unsaturated conditions N. Mohd Nazer et al. 10.1051/e3sconf/20160914023
40. GB-InSAR monitoring of slope deformations in a mountainous area affected by debris flow events W. Frodella et al. 10.5194/nhess-17-1779-2017
41. Application of the terrestrial laser scanner in the monitoring of earth structures J. Kogut & E. Pilecka 10.1515/geo-2020-0033
42. Displacement prediction of step-like landslide by applying a novel kernel extreme learning machine method C. Zhou et al. 10.1007/s10346-018-1022-0
43. Enhancing the reliability of landslide early warning systems by machine learning H. Thirugnanam et al. 10.1007/s10346-020-01453-z
44. Machine Learning: New Potential for Local and Regional Deep-Seated Landslide Nowcasting A. van Natijne et al. 10.3390/s20051425
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46. Big data managing in a landslide early warning system: experience from a ground-based interferometric radar application E. Intrieri et al. 10.5194/nhess-17-1713-2017
47. Physically based and distributed rainfall intensity and duration thresholds for shallow landslides R. Marin 10.1007/s10346-020-01481-9
48. Critical threshold mining of landslide deformation and intelligent early-warning methods based on multi-factor fusion D. Liu et al. 10.1007/s10064-024-03841-4
49. Using Complementary Ensemble Empirical Mode Decomposition and Gated Recurrent Unit to Predict Landslide Displacements in Dam Reservoir B. Yang et al. 10.3390/s22041320
50. Satellite Interferometry as a Tool for Early Warning and Aiding Decision Making in an Open-Pit Mine E. Intrieri et al. 10.1109/JSTARS.2019.2953339
51. The First International Workshop on Warning Criteria for Active Slides: technical issues, problems and solutions for managing early warning systems C. Cloutier et al. 10.1007/s10346-014-0530-9
52. 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. 10.1007/s10346-024-02230-y
53. Monitoring strategies for local landslide early warning systems G. Pecoraro et al. 10.1007/s10346-018-1068-z
54. 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. 10.1007/s12665-020-09279-7
55. Systèmes d’alerte précoce pour les aléas naturels et environnementaux : virage ou mirage technologique ? D. Didier et al. 10.7202/1042922ar
56. Monitoring and prediction in early warning systems for rapid mass movements M. Stähli et al. 10.5194/nhess-15-905-2015
57. A Method for Predicting Landslides Based on Micro-Deformation Monitoring Radar Data W. Tan et al. 10.3390/rs15030826
58. Utilizing crowdsourcing to enhance the mitigation and management of landslides C. Choi et al. 10.1007/s10346-018-1034-9
59. A new early warning criterion for landslides movement assessment: Deformation Standardized Anomaly Index J. Zhang et al. 10.1007/s10064-024-03672-3
60. Quantifying the effectiveness of early warning systems for natural hazards M. Sättele et al. 10.5194/nhess-16-149-2016
61. 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. 10.5194/gh-76-85-2021
62. A simple method to help determine landslide susceptibility from spaceborne InSAR data: the Montescaglioso case study T. Carlà et al. 10.1007/s12665-016-6308-8
63. Long-term geoelectrical monitoring of landslides in natural and engineered slopes J. Chambers et al. 10.1190/tle41110768.1
64. Probabilistic landslide ensemble prediction systems: lessons to be learned from hydrology E. Canli et al. 10.5194/nhess-18-2183-2018
65. 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. 10.1007/s11069-016-2451-5
66. Development of community-based landslide early warning system in the earthquake-affected areas of Nepal Himalaya P. Thapa & B. Adhikari 10.1007/s11629-019-5586-5
67. Alert threshold assessment based on equivalent displacements for the identification of potentially critical landslide events A. Valletta et al. 10.1007/s11069-022-05606-2
68. Displacement residuals reveal landslide regime shifts L. Nava et al. 10.1007/s10346-024-02353-2
69. Towards establishing rainfall thresholds for a real-time landslide early warning system in Sikkim, India G. Harilal et al. 10.1007/s10346-019-01244-1
70. Assessing two methods of defining rainfall intensity and duration thresholds for shallow landslides in data-scarce catchments of the Colombian Andean Mountains R. Marin et al. 10.1016/j.catena.2021.105563
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73. A new early warning Criterion for assessing landslide risk Y. Du et al. 10.1007/s11069-022-05687-z
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78. Estimation of rainfall thresholds for shallow landslides in the Sierra Madre Oriental, northeastern Mexico J. Salinas-Jasso et al. 10.1007/s11629-020-6050-2
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82. The optimal rainfall thresholds and probabilistic rainfall conditions for a landslide early warning system for Chuncheon, Republic of Korea W. Lee et al. 10.1007/s10346-020-01603-3
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84. The ground-based InSAR monitoring system at Stromboli volcano: linking changes in displacement rate and intensity of persistent volcanic activity F. Di Traglia et al. 10.1007/s00445-013-0786-2
85. Identification of Streamside Landslides with the Use of Unmanned Aerial Vehicles (UAVs) in Greece, Romania, and Turkey M. Yavuz et al. 10.3390/rs15041006
86. A new method to identify impending failure in rock slopes T. Carlà et al. 10.1016/j.ijrmms.2017.01.015
87. Adaptive hybrid machine learning model for forecasting the step-like displacement of reservoir colluvial landslides: a case study in the three Gorges reservoir area, China L. Linwei et al. 10.1007/s00477-022-02322-y
88. Landslide Characterization Using Satellite Interferometry (PSI), Geotechnical Investigations and Numerical Modelling: The Case Study of Ricasoli Village (Italy) A. Rosi et al. 10.4236/ijg.2013.45085
89. Landslide displacement prediction based on time series analysis and data assimilation with hydrological factors J. Wang et al. 10.1007/s12517-020-05452-1
90. Numerical-model-derived intensity–duration thresholds for early warning of rainfall-induced debris flows in a Himalayan catchment S. Dixit et al. 10.5194/nhess-24-465-2024
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