74 citations as recorded by crossref.

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4. A case study on geotechnical asset remote monitoring in Network Rail D. Abrams & M. Brown https://doi.org/10.1680/jtran.16.00157
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7. A Review of Studies on Participatory Early Warning Systems (P-EWS): Pathways to Support Citizen Science Initiatives V. Marchezini et al. https://doi.org/10.3389/feart.2018.00184
8. Integrated geotechnical and remote sensing-based monitoring of unstable slopes for landslide early warning using IoT and sensor networks K. Ambika et al. https://doi.org/10.1016/j.jsames.2025.105666
9. Monitoring and prediction in early warning systems for rapid mass movements M. Stähli et al. https://doi.org/10.5194/nhess-15-905-2015
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11. The Maoxian landslide as seen from space: detecting precursors of failure with Sentinel-1 data E. Intrieri et al. https://doi.org/10.1007/s10346-017-0915-7
12. Toward transportation asset management: what is the role of geotechnical monitoring? P. Mazzanti https://doi.org/10.1007/s13349-017-0249-0
13. 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
14. Failure mechanism and early warning of an excavation-induced soil landslide Y. Wu et al. https://doi.org/10.3389/feart.2024.1410011
15. Integration of ground-based radar and satellite InSAR data for the analysis of an unexpected slope failure in an open-pit mine T. Carlà et al. https://doi.org/10.1016/j.enggeo.2018.01.021
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17. Combining Site Characterization, Monitoring and Hydromechanical Modeling for Assessing Slope Stability S. Moradi et al. https://doi.org/10.3390/land10040423
18. Landslide detection and monitoring capability of boat-based mobile laser scanning along Dieppe coastal cliffs, Normandy C. Michoud et al. https://doi.org/10.1007/s10346-014-0542-5
19. Landslide early warning based on failure forecast models: the example of the Mt. de La Saxe rockslide, northern Italy A. Manconi & D. Giordan https://doi.org/10.5194/nhess-15-1639-2015
20. 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
21. Negotiated participatory action research for multi-stakeholder implementation of early warning systems for landslides B. Gumiran & A. Daag https://doi.org/10.1016/j.ijdrr.2021.102184
22. GA-GBDT: A Spatio-Temporal Graph-Augmented Gradient Boosting Framework for GNSS Network–Based Landslide Event Warning in Mining Areas J. Wu et al. https://doi.org/10.3390/app16115569
23. Slow-to-fast transition of giant creeping rockslides modulated by undrained loading in basal shear zones F. Agliardi et al. https://doi.org/10.1038/s41467-020-15093-3
24. Application and reliability of techniques for landslide site investigation, monitoring and early warning – outcomes from a questionnaire study I. Baroň & R. Supper https://doi.org/10.5194/nhess-13-3157-2013
25. Detection of ground motions using high-rate GPS time-series P. Psimoulis et al. https://doi.org/10.1093/gji/ggy198
26. Landslide Induced Tsunami Hazard at Volcanoes: the Case of Santorini O. Necmioglu et al. https://doi.org/10.1007/s00024-023-03252-8
27. Temporal-Spatial Frequency Rockfall Data from Open-Pit Highwalls Using a Low-Cost Monitoring System A. Giacomini et al. https://doi.org/10.3390/rs12152459
28. Mass movement hazard assessment of active coastal cliffs (Northeast Brazil) M. Leisner et al. https://doi.org/10.1016/j.ocecoaman.2025.107596
29. Contribution of time-related environmental tracing combined with tracer tests for characterization of a groundwater conceptual model: a case study at the Séchilienne landslide, western Alps (France) A. Vallet et al. https://doi.org/10.1007/s10040-015-1298-2
30. Perceptions of landslide risks and warnings in Hong Kong M. Yik et al. https://doi.org/10.1007/s10346-022-02021-3
31. Continuous, semi-automatic monitoring of ground deformation using Sentinel-1 satellites F. Raspini et al. https://doi.org/10.1038/s41598-018-25369-w
32. Monitoring Slope Movement and Soil Hydrologic Behavior Using IoT and AI Technologies: A Systematic Review M. Alam et al. https://doi.org/10.3390/hydrology11080111
33. Recommendations for Landslide Early Warning Systems in Informal Settlements Based on a Case Study in Medellín, Colombia M. Gamperl et al. https://doi.org/10.3390/land12071451
34. Assessing the potential of soil moisture measurements for regional landslide early warning A. Wicki et al. https://doi.org/10.1007/s10346-020-01400-y
35. 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
36. Experimental investigation on the interaction between rapid dry gravity-driven debris flow and array of obstacles K. Yan et al. https://doi.org/10.1007/s10346-020-01614-0
37. Comparison of landslide forecasting services in Piedmont (Italy) and Norway, illustrated by events in late spring 2013 G. Devoli et al. https://doi.org/10.5194/nhess-18-1351-2018
38. Early prediction framework for a rainfall-induced landslide: validation through a real case study P. Sudani & K. Patil https://doi.org/10.1007/s12046-023-02242-9
39. An integrated methodology to develop a standard for landslide early warning systems T. Fathani et al. https://doi.org/10.5194/nhess-16-2123-2016
40. Long-term evolution and early warning strategies for complex rockslides by real-time monitoring G. Crosta et al. https://doi.org/10.1007/s10346-017-0817-8
41. Farmers’ landslide risk perceptions and willingness for restoration and conservation of world heritage site of Honghe Hani Rice Terraces, China X. Gao et al. https://doi.org/10.1007/s10346-020-01389-4
42. Remote Sensing Precursors Analysis for Giant Landslides H. Lan et al. https://doi.org/10.3390/rs14174399
43. Establishing rainfall frequency contour lines as thresholds for rainfall-induced landslides in Tegucigalpa, Honduras, 1980–2005 E. Garcia-Urquia https://doi.org/10.1007/s11069-016-2297-x
44. Coda-wave monitoring of continuously evolving material properties and the precursory detection of yielding R. Zotz-Wilson et al. https://doi.org/10.1121/1.5091012
45. 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
46. Identification of potential failure zones in large progressive landslides: a method to optimize the cost of landslide early warning S. Kumar et al. https://doi.org/10.1007/s11069-024-06685-z
47. A Dynamic Management and Integration Framework for Models in Landslide Early Warning System L. Liu et al. https://doi.org/10.3390/ijgi12050198
48. 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
49. 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
50. Insights into the development of a landslide early warning system prototype in an informal settlement: the case of Bello Oriente in Medellín, Colombia C. Werthmann et al. https://doi.org/10.5194/nhess-24-1843-2024
51. Weather-Induced Landslide Activity in Clayey Slopes: Modeling for the Design of Site-Scale Early Warning Systems V. Tagarelli & F. Cotecchia https://doi.org/10.1061/JGGEFK.GTENG-13248
52. Activity of Okgye Limestone Mine in South Korea Observed by InSAR Coherence and PSInSAR Techniques H. Lee et al. https://doi.org/10.3390/rs14246261
53. Developing a Dynamic Web-GIS Based Landslide Early Warning System for the Chittagong Metropolitan Area, Bangladesh B. Ahmed et al. https://doi.org/10.3390/ijgi7120485
54. “What is a Sociologist Doing Here?” An Unconventional People-Centered Approach to Improve Warning Implementation in the Sendai Framework for Disaster Risk Reduction V. Marchezini https://doi.org/10.1007/s13753-020-00262-1
55. A review of terrestrial radar interferometry for measuring surface change in the geosciences R. Caduff et al. https://doi.org/10.1002/esp.3656
56. Four‐dimensional imaging of moisture dynamics during landslide reactivation S. Uhlemann et al. https://doi.org/10.1002/2016JF003983
57. IoT-based hydrological monitoring of water-induced landslides: a case study in central Norway E. Oguz et al. https://doi.org/10.1007/s10064-022-02721-z
58. Monitoring and early warning of the 2012 Preonzo catastrophic rockslope failure S. Loew et al. https://doi.org/10.1007/s10346-016-0701-y
59. Low-Cost Ambient-Vibration Monitoring of an Unstable Coastal Rock Block: Identification of the Fundamental Resonance of Kounopetra (Kefalonia, Greece) with a Force-Balance IoT Node I. Vlachos et al. https://doi.org/10.3390/geohazards7030101
60. Quantifying the effectiveness of early warning systems for natural hazards M. Sättele et al. https://doi.org/10.5194/nhess-16-149-2016
61. 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
62. Seismic Characterization of Debris Flows: Insights into Energy Radiation and Implications for Warning V. Coviello et al. https://doi.org/10.1029/2018JF004683
63. Application of UAV Photogrammetry to Slope-Displacement Measurement J. Cho et al. https://doi.org/10.1007/s12205-021-1374-1
64. Territorial early warning systems for rainfall-induced landslides L. Piciullo et al. https://doi.org/10.1016/j.earscirev.2018.02.013
65. Mapping Forest Fire Risk and Development of Early Warning System for NW Vietnam Using AHP and MCA/GIS Methods T. Van Hoang et al. https://doi.org/10.3390/app10124348
66. Instrumental Monitoring of a Slow-Moving Landslide in Piedmont (Northwest Italy) for the Definition of Rainfall Thresholds M. Bonasera et al. https://doi.org/10.3390/s24113327
67. Development of a soil moisture forecasting method for a landslide early warning system (LEWS): Pilot cases in coastal regions of Brazil I. Sousa et al. https://doi.org/10.1016/j.jsames.2023.104631
68. 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
69. A simplified early-warning system for imminent landslide prediction based on failure index fragility curves developed through numerical analysis U. Ozturk et al. https://doi.org/10.1080/19475705.2015.1058863
70. 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
71. Systèmes d’alerte précoce pour les aléas naturels et environnementaux : virage ou mirage technologique ? D. Didier et al. https://doi.org/10.7202/1042922ar
72. Innovative Monitoring Tools and Early Warning Systems for Risk Management: A Case Study A. Segalini et al. https://doi.org/10.3390/geosciences9020062
73. Access to Early Warning for Climate Change-Related Hazards in Informal Settlements of Accra, Ghana I. Adams et al. https://doi.org/10.3390/cli10050062
74. Identification of Landslide Precursors for Early Warning of Hazards with Remote Sensing K. Strząbała et al. https://doi.org/10.3390/rs16152781