150 citations as recorded by crossref.

1. Integrating real-time subsurface hydrologic monitoring with empirical rainfall thresholds to improve landslide early warning B. Mirus et al. 10.1007/s10346-018-0995-z
2. Recognition of Landslide Triggering Mechanisms and Dynamics Using GNSS, UAV Photogrammetry and In Situ Monitoring Data T. Peternel et al. 10.3390/rs14143277
3. Empirical and Physically Based Thresholds for the Occurrence of Shallow Landslides in a Prone Area of Northern Italian Apennines M. Bordoni et al. 10.3390/w11122653
4. Assessing the spatiotemporal impact of climate change on event rainfall characteristics influencing landslide occurrences based on multiple GCM projections in China Q. Lin et al. 10.1007/s10584-020-02750-1
5. Monitoring the role of soil hydrologic conditions and rainfall for the triggering of torrential flows in the Rebaixader catchment (Central Pyrenees, Spain) R. Oorthuis et al. 10.1007/s10346-022-01975-8
6. 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
7. The Value of Using Multiple Hydrometeorological Variables to Predict Temporal Debris Flow Susceptibility in an Alpine Environment D. Prenner et al. 10.1029/2018WR022985
8. Clarifying the effectiveness of drainage tunnels in landslide controls based on high-frequency in-site monitoring Z. Wei et al. 10.1007/s10064-020-01769-z
9. Machine Learning: New Potential for Local and Regional Deep-Seated Landslide Nowcasting A. van Natijne et al. 10.3390/s20051425
10. How much does the rainfall temporal resolution affect rainfall thresholds for landslide triggering? S. Gariano et al. 10.1007/s11069-019-03830-x
11. Assessing the potential of soil moisture measurements for regional landslide early warning A. Wicki et al. 10.1007/s10346-020-01400-y
12. A 22-Year Climatology of Cool Season Hourly Precipitation Thresholds Conducive to Shallow Landslides in California N. Oakley et al. 10.1175/EI-D-17-0029.1
13. Revealing the relation between spatial patterns of rainfall return levels and landslide density S. Mtibaa & H. Tsunetaka 10.5194/esurf-11-461-2023
14. The temporally varying roles of rainfall, snowmelt and soil moisture for debris flow initiation in a snow-dominated system K. Mostbauer et al. 10.5194/hess-22-3493-2018
15. An improved rainfall-threshold approach for robust prediction and warning of flood and flash flood hazards G. Ramos Filho et al. 10.1007/s11069-020-04405-x
16. 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
17. Deriving rainfall thresholds for landsliding at the regional scale: daily and hourly resolutions, normalisation, and antecedent rainfall E. Leonarduzzi & P. Molnar 10.5194/nhess-20-2905-2020
18. Definition of 3D rainfall thresholds to increase operative landslide early warning system performances A. Rosi et al. 10.1007/s10346-020-01523-2
19. Applying rainfall threshold estimates and frequency ratio model for landslide hazard assessment in the coastal mountain setting of South Asia A. Alam et al. 10.1016/j.nhres.2023.08.002
20. Prediction of shallow landslides in pyroclastic-covered slopes by coupled modeling of unsaturated and saturated groundwater flow P. Marino et al. 10.1007/s10346-020-01484-6
21. Defining evacuation travel times and safety areas in a debris flow hazard scenario R. Melo et al. 10.1016/j.scitotenv.2019.136452
22. 4D electrical resistivity to monitor unstable slopes in mountainous tropical regions: an example from Munnar, India A. Watlet et al. 10.1007/s10346-023-02029-3
23. Integration of observed and model-derived groundwater levels in landslide threshold models in Rwanda J. Uwihirwe et al. 10.5194/nhess-22-1723-2022
24. A Simple Method for Predicting Rainfall-Induced Shallow Landslides E. Conte et al. 10.1061/(ASCE)GT.1943-5606.0002877
25. Landslide precipitation thresholds in Rwanda J. Uwihirwe et al. 10.1007/s10346-020-01457-9
26. Correlating groundwater level and shear strength: Kotkai Pakistan landslide as case study M. Khan & S. Wang 10.1680/jfoen.21.00035
27. Landslide initiation thresholds in data-sparse regions: application to landslide early warning criteria in Sitka, Alaska, USA A. Patton et al. 10.5194/nhess-23-3261-2023
28. Understanding hydrologic controls of sloping soil response to precipitation through machine learning analysis applied to synthetic data D. Roman Quintero et al. 10.5194/hess-27-4151-2023
29. Deep learning forecast of rainfall-induced shallow landslides A. Mondini et al. 10.1038/s41467-023-38135-y
30. Probabilistic landslide ensemble prediction systems: lessons to be learned from hydrology E. Canli et al. 10.5194/nhess-18-2183-2018
31. Patterns of rainfall-threshold for debris-flow occurrence in the Wenchuan seismic region, Southwest China M. Chang et al. 10.1007/s10064-020-02080-7
32. Identifying Physics‐Based Thresholds for Rainfall‐Induced Landsliding M. Thomas et al. 10.1029/2018GL079662
33. The effectiveness of a drainage tunnel in increasing the rainfall threshold of a deep-seated landslide Z. Wei et al. 10.1007/s10346-019-01241-4
34. Temporal prediction modeling for rainfall-induced shallow landslide hazards using extreme value distribution J. Lee et al. 10.1007/s10346-020-01502-7
35. Investigation of Model Uncertainty in Rainfall-Induced Landslide Prediction under Changing Climate Conditions Y. Chen et al. 10.3390/land12091732
36. Hillslopes in humid‐tropical climates aren't always wet: Implications for hydrologic response and landslide initiation in Puerto Rico M. Thomas et al. 10.1002/hyp.13885
37. The Key Parameters Involved in a Rainfall-Triggered Landslide E. Oliveira et al. 10.3390/w14213561
38. Soil moisture information can improve shallow landslide forecasting using the hydrometeorological threshold approach P. Marino et al. 10.1007/s10346-020-01420-8
39. Training machine learning with physics-based simulations to predict 2D soil moisture fields in a changing climate E. Leonarduzzi et al. 10.3389/frwa.2022.927113
40. Interaction between Perched Epikarst Aquifer and Unsaturated Soil Cover in the Initiation of Shallow Landslides in Pyroclastic Soils R. Greco et al. 10.3390/w10070948
41. Deforestation Effects on Rainfall‐Induced Shallow Landslides: Remote Sensing and Physically‐Based Modelling P. Lehmann et al. 10.1029/2019WR025233
42. Exploring ERA5 reanalysis potentialities for supporting landslide investigations: a test case from Campania Region (Southern Italy) A. Reder & G. Rianna 10.1007/s10346-020-01610-4
43. Sensitivity analysis of regional rainfall-induced landslide based on UAV photogrammetry and LSTM neural network L. Zhao et al. 10.1007/s11629-023-7991-z
44. Recent advancements of landslide hydrology R. Greco et al. 10.1002/wat2.1675
45. Investigating the Feasibility of Using Satellite Rainfall for the Integrated Prediction of Flood and Landslide Hazards over Shaanxi Province in Northwest China S. Wang et al. 10.3390/rs15092457
46. Effect of basin morphometric parameters on physically-based rainfall thresholds for shallow landslides R. Marin et al. 10.1016/j.enggeo.2020.105855
47. Exploring the utility of radar and satellite-sensed precipitation and their dynamic bias correction for integrated prediction of flood and landslide hazards S. Wang et al. 10.1016/j.jhydrol.2021.126964
48. Recurrent rainfall-induced landslides on the slopes with pyroclastic cover of Partenio Mountains (Campania, Italy): Comparison of 1999 and 2019 events R. Greco et al. 10.1016/j.enggeo.2021.106160
49. A Regional-Scale Landslide Warning System Based on 20 Years of Operational Experience S. Segoni et al. 10.3390/w10101297
50. Analysis of Debris Flow Triggering Conditions for Different Rainfall Patterns Based on Satellite Rainfall Products in Hengduan Mountain Region, China J. Li et al. 10.3390/rs14122731
51. HydroMet: A New Code for Automated Objective Optimization of Hydrometeorological Thresholds for Landslide Initiation J. Conrad et al. 10.3390/w13131752
52. Rainfall thresholds for landslide occurrence: systematic underestimation using coarse temporal resolution data F. Marra 10.1007/s11069-018-3508-4
53. Using Sentinel-1 radar amplitude time series to constrain the timings of individual landslides: a step towards understanding the controls on monsoon-triggered landsliding K. Burrows et al. 10.5194/nhess-22-2637-2022
54. Changes of hydro-meteorological trigger conditions for debris flows in a future alpine climate R. Kaitna et al. 10.1016/j.scitotenv.2023.162227
55. Step-like displacement prediction and failure mechanism analysis of slow-moving reservoir landslide K. Song et al. 10.1016/j.jhydrol.2023.130588
56. Rainfall-Induced Landslides and Erosion Processes in the Road Network of the Jaén Province (Southern Spain) R. Carpena et al. 10.3390/hydrology8030100
57. Modelling antecedent soil hydrological conditions to improve the prediction of landslide susceptibility in typhoon-prone regions C. Abancó et al. 10.1007/s10346-024-02242-8
58. Application of hydrological model simulations in landslide predictions B. Zhao et al. 10.1007/s10346-019-01296-3
59. A new approach for gridded risk assessment of rainfall-triggered flood and landslide hazards over a large region based on coupled flood-landslide modelling and ensemble simulation S. Wang et al. 10.1016/j.envsoft.2023.105917
60. Usage of antecedent soil moisture for improving the performance of rainfall thresholds for landslide early warning M. Abraham et al. 10.1016/j.catena.2021.105147
61. Influence of uncertain identification of triggering rainfall on the assessment of landslide early warning thresholds D. Peres et al. 10.5194/nhess-18-633-2018
62. Modeling impacts of climate change on return period of landslide triggering D. Peres & A. Cancelliere 10.1016/j.jhydrol.2018.10.036
63. Comparing methods for determining landslide early warning thresholds: potential use of non-triggering rainfall for locations with scarce landslide data availability D. Peres & A. Cancelliere 10.1007/s10346-021-01704-7
64. Hydrological regimes in different slope environments and implications on rainfall thresholds triggering shallow landslides F. Fusco et al. 10.1007/s11069-022-05417-5
65. Changes in Debris-Flow Susceptibility after the Wenchuan Earthquake Revealed by Meteorological and Hydro-Meteorological Thresholds M. Pasquale et al. 10.2139/ssrn.3929270
66. Umbrales de lluvia como detonante de movimientos en masa en el piedemonte de la cordillera Central en los Andes colombianos E. Aristizábal et al. 10.18273/revbol.v44n2-2022009
67. Global Assessment of the Capability of Satellite Precipitation Products to Retrieve Landslide-Triggering Extreme Rainfall Events O. Marc et al. 10.1175/EI-D-21-0022.1
68. Preliminary insights from hydrological field monitoring for the evaluation of landslide triggering conditions over large areas L. Schilirò et al. 10.1007/s11069-023-06064-0
69. Regional landslide hazard assessment through integrating susceptibility index and rainfall process Z. Wang et al. 10.1007/s11069-020-04265-5
70. Time series analysis and long short-term memory neural network to predict landslide displacement B. Yang et al. 10.1007/s10346-018-01127-x
71. Characteristics and influencing factors of rainfall-induced landslide and debris flow hazards in Shaanxi Province, China K. Zhang et al. 10.5194/nhess-19-93-2019
72. On the nexus between landslide susceptibility and transport infrastructure – an agent-based approach M. Schlögl et al. 10.5194/nhess-19-201-2019
73. Landslide risk assessment based on topographical and geological characteristics : M. MATSUZAWA et al. 10.3313/jls.61.1
74. Spatial Patterns of Storm‐Induced Landslides and Their Relation to Rainfall Anomaly Maps O. Marc et al. 10.1029/2019GL083173
75. Simulated or measured soil moisture: which one is adding more value to regional landslide early warning? A. Wicki et al. 10.5194/hess-25-4585-2021
76. Analysis of landslide occurrence time via rainfall intensity and soil water index ternary diagram Y. Liu et al. 10.1007/s10346-022-01944-1
77. Developing Hydro-Meteorological Thresholds for Shallow Landslide Initiation and Early Warning B. Mirus et al. 10.3390/w10091274
78. Data-Driven Landslide Nowcasting at the Global Scale T. Stanley et al. 10.3389/feart.2021.640043
79. Implementation of hydrometeorological thresholds for regional landslide warning in Catalonia (NE Spain) R. Palau et al. 10.1007/s10346-023-02094-8
80. Deep Learning as a Tool to Forecast Hydrologic Response for Landslide‐Prone Hillslopes E. Orland et al. 10.1029/2020GL088731
81. Investigating large landslides along a river valley using combined physical, statistical, and hydrologic modeling L. Weidner et al. 10.1016/j.enggeo.2019.105169
82. Accounting for satellite rainfall uncertainty in rainfall-triggered landslide forecasting B. Zhao et al. 10.1016/j.geomorph.2021.108051
83. Assessing uncertainties in landslide susceptibility predictions in a changing environment (Styrian Basin, Austria) R. Knevels et al. 10.5194/nhess-23-205-2023
84. A new method to detect changes in displacement rates of slow-moving landslides using InSAR time series A. Urgilez Vinueza et al. 10.1007/s10346-022-01913-8
85. Keynote lecture. Landslide Early Warning Systems: Resources or Problems? F. Guzzetti et al. 10.1051/e3sconf/202341503010
86. Rainfall-induced shallow landslides and soil wetness: comparison of physically based and probabilistic predictions E. Leonarduzzi et al. 10.5194/hess-25-5937-2021
87. From empirically to physically based early warning predictions of rainfall-induced landslides in silty volcanic soils: the Lattari Mountains case study G. Rianna et al. 10.1007/s10064-023-03228-x
88. 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
89. Landslides forecasting using satellite rainfall estimations and machine learning in the Colombian Andean region D. Gómez et al. 10.1016/j.jsames.2023.104293
90. Influence of the mapping unit for regional landslide early warning systems: comparison between pixels and polygons in Catalonia (NE Spain) R. Palau et al. 10.1007/s10346-020-01425-3
91. Reanalysis of Soil Moisture Used for Rainfall Thresholds for Rainfall-Induced Landslides: The Italian Case Study N. Bezak et al. 10.3390/w13141977
92. Analysing post-earthquake landslide susceptibility using multi-temporal landslide inventories — a case study in Miansi Town of China N. Li et al. 10.1007/s11629-019-5681-7
93. Deciphering seasonal effects of triggering and preparatory precipitation for improved shallow landslide prediction using generalized additive mixed models S. Steger et al. 10.5194/nhess-23-1483-2023
94. Changes in debris-flow susceptibility after the Wenchuan earthquake revealed by meteorological and hydro-meteorological thresholds P. Marino et al. 10.1016/j.catena.2021.105929
95. Dynamic landslide susceptibility analysis that combines rainfall period, accumulated rainfall, and geospatial information J. Lee et al. 10.1038/s41598-022-21795-z
96. Preface to the Special Issue “Rainfall Thresholds and Other Approaches for Landslide Prediction and Early Warning” S. Segoni et al. 10.3390/w13030323
97. Effects of Infiltration Characteristics on Spatial-Temporal Evolution of Stability of an Interstate Highway Embankment E. Hinds et al. 10.1061/(ASCE)GT.1943-5606.0002127
98. A Brief Report of Pingdi Landslide (23 July 2019) in Guizhou Province, China T. Yan et al. 10.3390/geosciences9090368
99. Rainfall-induced transportation embankment failure: A review X. Linrong et al. 10.1515/geo-2022-0558
100. Dynamic Landslide Susceptibility Analysis that Combines Rainfall Period, Rainfall, and Geospatial Information J. Lee et al. 10.2139/ssrn.4093941
101. Assessment of Landslide Risks Through a Multi-Disciplinary Approach: A Case Study of Al Hoceima, Northern Morocco M. El Khattabi et al. 10.20965/jdr.2023.p0424
102. Brief communication: Key papers of 20 years in <i>Natural Hazards and Earth System Sciences</i> A. Gain et al. 10.5194/nhess-22-985-2022
103. Brief communication: Introducing rainfall thresholds for landslide triggering based on artificial neural networks P. Distefano et al. 10.5194/nhess-22-1151-2022
104. Hydrological control of soil thickness spatial variability on the initiation of rainfall-induced shallow landslides using a three-dimensional model R. Tufano et al. 10.1007/s10346-021-01681-x
105. Evaluation of Remotely Sensed Soil Moisture for Landslide Hazard Assessment L. Zhuo et al. 10.1109/JSTARS.2018.2883361
106. Towards a Transferable Antecedent Rainfall—Susceptibility Threshold Approach for Landsliding . Monsieurs et al. 10.3390/w11112202
107. Using principal component analysis to incorporate multi-layer soil moisture information in hydrometeorological thresholds for landslide prediction: an investigation based on ERA5-Land reanalysis data N. Palazzolo et al. 10.5194/nhess-23-279-2023
108. Prediction of the instability probability for rainfall induced landslides: the effect of morphological differences in geomorphology within mapping units K. Wang et al. 10.1007/s11629-022-7789-4
109. Influence of Rainfall Pattern on Wetness Index for Infinite Slope Stability Analysis W. Na et al. 10.3390/w15142535
110. SitkaNet: A low-cost, distributed sensor network for landslide monitoring and study M. Chu et al. 10.1016/j.ohx.2021.e00191
111. Influence of hydraulic properties on physically modelling slope stability and the definition of rainfall thresholds for shallow landslides R. Marin & M. Velásquez 10.1016/j.geomorph.2019.106976
112. Change Detection and Feature Extraction of Debris-Flow Initiation by Rock-Slope Failure Using Point Cloud Processing X. He et al. 10.1155/2021/6659996
113. A susceptibility-based rainfall threshold approach for landslide occurrence E. Monsieurs et al. 10.5194/nhess-19-775-2019
114. Physically based and distributed rainfall intensity and duration thresholds for shallow landslides R. Marin 10.1007/s10346-020-01481-9
115. Comparison of the return period for landslide‐triggering rainfall events in Japan based on standardization of the rainfall period H. Tsunetaka 10.1002/esp.5228
116. The role of snow and spring moisture conditions in terms of geomorphic activity inferred from tree-ring based chronologies in Central European mid-mountains R. Tichavský & M. Horáček 10.1016/j.catena.2022.106440
117. Prototype of an IoT-Based Low-Cost Sensor Network for the Hydrological Monitoring of Landslide-Prone Areas P. Marino et al. 10.3390/s23042299
118. Numerical investigation of rainfall intensity and duration control of rainfall-induced landslide at a specific slope using slope case histories and actual rainfall records X. LIU et al. 10.1007/s10064-023-03359-1
119. A multiobjective evolutionary optimization method based critical rainfall thresholds for debris flows initiation Y. Yan et al. 10.1007/s11629-019-5812-1
120. Improved Method of Defining Rainfall Intensity and Duration Thresholds for Shallow Landslides Based on TRIGRS S. Zhang et al. 10.3390/w14040524
121. Modelling of an accidentally triggered shallow landslide in Northern Italy A. Sanzeni et al. 10.1007/s10346-019-01251-2
122. Retrieval of Monsoon Landslide Timings With Sentinel‐1 Reveals the Effects of Earthquakes and Extreme Rainfall K. Burrows et al. 10.1029/2023GL104720
123. Application of hydrological modelling for temporal prediction of rainfall-induced shallow landslides N. Bezak et al. 10.1007/s10346-019-01169-9
124. The Norwegian forecasting and warning service for rainfall- and snowmelt-induced landslides I. Krøgli et al. 10.5194/nhess-18-1427-2018
125. Changes in the rainfall event characteristics above the empirical global rainfall thresholds for landslide initiation at the pan-European level N. Bezak & M. Mikoš 10.1007/s10346-020-01579-0
126. Estimating the rainfall threshold of a deep-seated landslide by integrating models for predicting the groundwater level and stability analysis of the slope Z. Wei et al. 10.1016/j.enggeo.2019.02.026
127. Evaluating methods for debris-flow prediction based on rainfall in an Alpine catchment J. Hirschberg et al. 10.5194/nhess-21-2773-2021
128. Brief communication: Using averaged soil moisture estimates to improve the performances of a regional-scale landslide early warning system S. Segoni et al. 10.5194/nhess-18-807-2018
129. Invited perspectives: Landslide populations – can they be predicted? F. Guzzetti 10.5194/nhess-21-1467-2021
130. Physically-based landslide prediction over a large region: Scaling low-resolution hydrological model results for high-resolution slope stability assessment S. Wang et al. 10.1016/j.envsoft.2019.104607
131. Using Field-Based Monitoring to Enhance the Performance of Rainfall Thresholds for Landslide Warning M. Abraham et al. 10.3390/w12123453
132. Displacement prediction of step-like landslides based on feature optimization and VMD-Bi-LSTM: a case study of the Bazimen and Baishuihe landslides in the Three Gorges, China K. Zhang et al. 10.1007/s10064-021-02454-5
133. Numerical Analysis of the Effect of Subgrid Variability in a Physically Based Hydrological Model on Runoff, Soil Moisture, and Slope Stability E. Leonarduzzi et al. 10.1029/2020WR027326
134. Assessment of simulated soil moisture from WRF Noah, Noah-MP, and CLM land surface schemes for landslide hazard application L. Zhuo et al. 10.5194/hess-23-4199-2019
135. Preface: Landslide early warning systems: monitoring systems, rainfall thresholds, warning models, performance evaluation and risk perception S. Segoni et al. 10.5194/nhess-18-3179-2018
136. Analysis of meteorological parameters triggering rainfall-induced landslide: a review of 70 years in Valtellina A. Abbate et al. 10.5194/nhess-21-2041-2021
137. The Role of Soil Type in Triggering Shallow Landslides in the Alps (Lombardy, Northern Italy) F. Luino et al. 10.3390/land11081125
138. Spatio-temporal landslide forecasting using process-based and data-driven approaches: A case study from Western Ghats, India M. Abraham et al. 10.1016/j.catena.2023.106948
139. Space-time data-driven modeling of precipitation-induced shallow landslides in South Tyrol, Italy M. Moreno et al. 10.1016/j.scitotenv.2023.169166
140. Assessing the Effectiveness of TRIGRS for Predicting Unstable Areas in a Tropical Mountain Basin (Colombian Andes) R. Marin et al. 10.1007/s10706-020-01630-w
141. A Study of Two Impactful Heavy Rainfall Events in the Southern Appalachian Mountains during Early 2020, Part II; Regional Overview, Rainfall Evolution, and Satellite QPE Utility D. Miller et al. 10.3390/rs13132500
142. Development of a data-driven model for spatial and temporal shallow landslide probability of occurrence at catchment scale M. Bordoni et al. 10.1007/s10346-020-01592-3
143. Potential of satellite-derived hydro-meteorological information for landslide initiation thresholds in Rwanda J. Uwihirwe et al. 10.5194/nhess-22-3641-2022
144. Rainfall threshold calculation for debris flow early warning in areas with scarcity of data H. Pan et al. 10.5194/nhess-18-1395-2018
145. Using a Tank Model to Determine Hydro-Meteorological Thresholds for Large-Scale Landslides in Taiwan G. Lin et al. 10.3390/w12010253
146. Assessing the Feasibility of Satellite‐Based Thresholds for Hydrologically Driven Landsliding M. Thomas et al. 10.1029/2019WR025577
147. A data-driven approach to assess the role of the groundwater conditions in triggering shallow landslides initiating with frictional failure M. Tartaglia et al. 10.1007/s10346-023-02049-z
148. Hydro-meteorological landslide triggering thresholds based on artificial neural networks using observed precipitation and ERA5-Land soil moisture P. Distefano et al. 10.1007/s10346-023-02132-5
149. Classification of Management Alternatives to Combat Reservoir Sedimentation G. Morris 10.3390/w12030861
150. Hydrogeomorphic processes and scaling issues in the continuum from soil pedons to catchments R. Sidle et al. 10.1016/j.earscirev.2017.10.010