86 citations as recorded by crossref.

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26. Continuous, semi-automatic monitoring of ground deformation using Sentinel-1 satellites F. Raspini et al. 10.1038/s41598-018-25369-w
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29. Assessing the performance of regional landslide early warning models: the EDuMaP method M. Calvello & L. Piciullo 10.5194/nhess-16-103-2016
30. 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
31. 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
32. 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
33. 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
34. 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
35. Creep response in shear of clayey geo-materials under saturated and unsaturated conditions N. Mohd Nazer et al. 10.1051/e3sconf/20160914023
36. 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
37. Application of the terrestrial laser scanner in the monitoring of earth structures J. Kogut & E. Pilecka 10.1515/geo-2020-0033
38. 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
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40. Machine Learning: New Potential for Local and Regional Deep-Seated Landslide Nowcasting A. van Natijne et al. 10.3390/s20051425
41. ADVICE: A New Approach for Near-Real-Time Monitoring of Surface Displacements in Landslide Hazard Scenarios P. Allasia et al. 10.3390/s130708285
42. 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
43. Physically based and distributed rainfall intensity and duration thresholds for shallow landslides R. Marin 10.1007/s10346-020-01481-9
44. Using Complementary Ensemble Empirical Mode Decomposition and Gated Recurrent Unit to Predict Landslide Displacements in Dam Reservoir B. Yang et al. 10.3390/s22041320
45. 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
46. 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
47. 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
48. Monitoring strategies for local landslide early warning systems G. Pecoraro et al. 10.1007/s10346-018-1068-z
49. 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
50. Systèmes d’alerte précoce pour les aléas naturels et environnementaux : virage ou mirage technologique ? D. Didier et al. 10.7202/1042922ar
51. Monitoring and prediction in early warning systems for rapid mass movements M. Stähli et al. 10.5194/nhess-15-905-2015
52. A Method for Predicting Landslides Based on Micro-Deformation Monitoring Radar Data W. Tan et al. 10.3390/rs15030826
53. Utilizing crowdsourcing to enhance the mitigation and management of landslides C. Choi et al. 10.1007/s10346-018-1034-9
54. Quantifying the effectiveness of early warning systems for natural hazards M. Sättele et al. 10.5194/nhess-16-149-2016
55. 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
56. 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
57. Long-term geoelectrical monitoring of landslides in natural and engineered slopes J. Chambers et al. 10.1190/tle41110768.1
58. Probabilistic landslide ensemble prediction systems: lessons to be learned from hydrology E. Canli et al. 10.5194/nhess-18-2183-2018
59. 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
60. 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
61. 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
62. 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
63. 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
64. Landslide forecasting and factors influencing predictability E. Intrieri & G. Gigli 10.5194/nhess-16-2501-2016
65. LandAware: a new international network on Landslide Early Warning Systems M. Calvello et al. 10.1007/s10346-020-01548-7
66. A new early warning Criterion for assessing landslide risk Y. Du et al. 10.1007/s11069-022-05687-z
67. On the monitoring and early-warning of brittle slope failures in hard rock masses: Examples from an open-pit mine T. Carlà et al. 10.1016/j.enggeo.2017.08.007
68. A grid-based physical model to analyze the stability of slope unit S. Zhang et al. 10.1016/j.geomorph.2021.107887
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70. Geophysical Monitoring of Moisture‐Induced Landslides: A Review J. Whiteley et al. 10.1029/2018RG000603
71. 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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75. 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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77. 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
78. Identification of Streamside Landslides with the Use of Unmanned Aerial Vehicles (UAVs) in Greece, Romania, and Turkey M. Yavuz et al. 10.3390/rs15041006
79. A new method to identify impending failure in rock slopes T. Carlà et al. 10.1016/j.ijrmms.2017.01.015
80. 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
81. 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
82. Landslide displacement prediction based on time series analysis and data assimilation with hydrological factors J. Wang et al. 10.1007/s12517-020-05452-1
83. 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
84. Geographical landslide early warning systems F. Guzzetti et al. 10.1016/j.earscirev.2019.102973
85. Standards for the performance assessment of territorial landslide early warning systems L. Piciullo et al. 10.1007/s10346-020-01486-4
86. Landslide Deformation Prediction Based on a GNSS Time Series Analysis and Recurrent Neural Network Model J. Wang et al. 10.3390/rs13061055