88 citations as recorded by crossref.

1. Regional-scale modeling of rainfall-induced landslides under random rainfall patterns L. Zhao et al. 10.1016/j.envsoft.2022.105454
2. Landslide type inference based on statistical analysis of a high-resolution digital elevation model in Gorce National Park, Poland R. Szczepanek et al. 10.1038/s41598-024-65026-z
3. Geotechnical and hydrological characterization of hillslope deposits for regional landslide prediction modeling G. Bicocchi et al. 10.1007/s10064-018-01449-z
4. Rainfall-induced landslide early warning system based on corrected mesoscale numerical models: an application for the southern Andes I. Fustos-Toribio et al. 10.5194/nhess-22-2169-2022
5. Examples of Application of GASAKe for Predicting the Occurrence of Rainfall-Induced Landslides in Southern Italy O. Terranova et al. 10.3390/geosciences8020078
6. Assessment of susceptibility to landslides through geographic information systems and the logistic regression model R. Riegel et al. 10.1007/s11069-020-03997-8
7. A tool for the automatic calculation of rainfall thresholds for landslide occurrence M. Melillo et al. 10.1016/j.envsoft.2018.03.024
8. 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
9. Projection of land susceptibility to subsidence hazard in China using an interpretable CNN deep learning model K. Liu et al. 10.1016/j.scitotenv.2023.169502
10. Analysis of rainfall preceding debris flows on the Smědavská hora Mt., Jizerské hory Mts., Czech Republic J. Smolíková et al. 10.1007/s10346-015-0601-6
11. Physically-based rainfall-induced landslide thresholds for the Tianshui area of Loess Plateau, China by TRIGRS model S. Ma et al. 10.1016/j.catena.2023.107499
12. 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
13. Evaluation of shallow landslide-triggering scenarios through a physically based approach: an example of application in the southern Messina area (northeastern Sicily, Italy) L. Schilirò et al. 10.5194/nhess-15-2091-2015
14. A field investigation on debris flows in the incised Tongde sedimentary basin on the northeastern edge of the Tibetan Plateau L. Lyu et al. 10.1016/j.catena.2021.105727
15. Seasonal and Event-Based Hydrological and Slope Stability Modeling of Pyroclastic Fall Deposits Covering Slopes in Campania (Southern Italy) P. De Vita et al. 10.3390/w10091140
16. <sup>GA</sup><i>SAKe</i>: forecasting landslide activations by a genetic-algorithms-based hydrological model O. Terranova et al. 10.5194/gmd-8-1955-2015
17. Identification of self-interacting proteins by integrating random projection classifier and finite impulse response filter Z. Chen et al. 10.1186/s12864-019-6301-1
18. A 3D model for rain-induced landslides based on molecular dynamics with fractal and fractional water diffusion G. Martelloni et al. 10.1016/j.cnsns.2017.03.014
19. How much does the rainfall temporal resolution affect rainfall thresholds for landslide triggering? S. Gariano et al. 10.1007/s11069-019-03830-x
20. Regional back analysis of landslide events using TRIGRS model and rainfall threshold: an approach to estimate landslide hazard for Kodagu, India H. Rana & G. Babu 10.1007/s10064-022-02660-9
21. Validation and potential forecast use of a debris-flow rainfall threshold calibrated with the Backward Dynamical Approach M. Martinengo et al. 10.1016/j.geomorph.2022.108519
22. Rainfall threshold for landslide activity in Dazhou, southwest China H. Yang et al. 10.1007/s10346-019-01270-z
23. Susceptibility Assessment of Debris Flows Coupled with Ecohydrological Activation in the Eastern Qinghai-Tibet Plateau H. Jiang et al. 10.3390/rs14061444
24. A hybrid stochastic rainfall model that reproduces some important rainfall characteristics at hourly to yearly timescales J. Park et al. 10.5194/hess-23-989-2019
25. Effect of antecedent rainfall conditions and their variations on shallow landslide-triggering rainfall thresholds in South Korea S. Kim et al. 10.1007/s10346-020-01505-4
26. Investigation of the functional relationship between antecedent rainfall and the probability of debris flow occurrence in Jiangjia Gully, China S. Zhang et al. 10.5194/hess-28-2343-2024
27. An Automated Python Language-Based Tool for Creating Absence Samples in Groundwater Potential Mapping O. Rahmati et al. 10.3390/rs11111375
28. Quantify the effect of antecedent effective precipitation on rainfall intensity-duration threshold of debris flow S. Zhang et al. 10.1007/s10346-023-02066-y
29. 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
30. Invited perspectives: Hydrological perspectives on precipitation intensity-duration thresholds for landslide initiation: proposing hydro-meteorological thresholds T. Bogaard & R. Greco 10.5194/nhess-18-31-2018
31. A new method for evaluating stony debris flow rainfall thresholds: the Backward Dynamical Approach G. Rosatti et al. 10.1016/j.heliyon.2019.e01994
32. Subsidence risk assessment based on a novel hybrid form of a tree-based machine learning algorithm and an index model of vulnerability G. Mohebbi Tafreshi et al. 10.1080/10106049.2020.1841835
33. 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
34. 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
35. 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
36. 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
37. Estimating return period of landslide triggering by Monte Carlo simulation D. Peres & A. Cancelliere 10.1016/j.jhydrol.2016.03.036
38. Hybrid stochastic-mechanical modeling of precipitation thresholds of shallow landslide initiation E. Rundeddu et al. 10.1007/s11069-022-05337-4
39. Diversity of Rainfall Thresholds for early warning of hydro-geological disasters D. De Luca & P. Versace 10.5194/adgeo-44-53-2017
40. Hydrological regimes in different slope environments and implications on rainfall thresholds triggering shallow landslides F. Fusco et al. 10.1007/s11069-022-05417-5
41. Effect of antecedent-hydrological conditions on rainfall triggering of debris flows in ash-fall pyroclastic mantled slopes of Campania (southern Italy) E. Napolitano et al. 10.1007/s10346-015-0647-5
42. Rainfall thresholds for landslide occurrence: systematic underestimation using coarse temporal resolution data F. Marra 10.1007/s11069-018-3508-4
43. Relationship between landslides and long-term rainfall trends T. Sato & Y. Shuin 10.1007/s12517-022-10532-5
44. Improved Method of Defining Rainfall Intensity and Duration Thresholds for Shallow Landslides Based on TRIGRS S. Zhang et al. 10.3390/w14040524
45. Identifying Physics‐Based Thresholds for Rainfall‐Induced Landsliding M. Thomas et al. 10.1029/2018GL079662
46. Using machine learning approach for microseismic events recognition in underground excavations: Comparison of ten frequently-used models Y. Pu et al. 10.1016/j.enggeo.2020.105519
47. Prediction of shallow landslide occurrence: Validation of a physically-based approach through a real case study L. Schilirò et al. 10.1016/j.scitotenv.2016.06.124
48. The Effects of Different Geological Conditions on Landslide-Triggering Rainfall Conditions in South Korea J. Lee et al. 10.3390/w14132051
49. Stability analysis of unsaturated soil slopes under random rainfall patterns G. Tang et al. 10.1016/j.enggeo.2018.09.013
50. Brief communication: Introducing rainfall thresholds for landslide triggering based on artificial neural networks P. Distefano et al. 10.5194/nhess-22-1151-2022
51. A Probabilistic Model of Aquifer Susceptibility to Earthquake-Induced Groundwater-Level Changes K. Weaver et al. 10.1785/0120180278
52. Rainfall thresholds for possible landslide occurrence in Italy S. Peruccacci et al. 10.1016/j.geomorph.2017.03.031
53. Initiation conditions of shallow landslides in two man-made forests and back estimation of the possible rainfall threshold Z. Dai et al. 10.1007/s10346-021-01823-1
54. Visualising and quantifying the usefulness of new predictors stratified by outcome class: The U-smile method K. Kubiak et al. 10.1371/journal.pone.0303276
55. Significant wave height record extension by neural networks and reanalysis wind data D. Peres et al. 10.1016/j.ocemod.2015.08.002
56. Definition of Rainfall Thresholds for Landslides Using Unbalanced Datasets: Two Case Studies in Shaanxi Province, China S. Zhang et al. 10.3390/w15061058
57. Combination four different ensemble algorithms with the generalized linear model (GLM) for predicting forest fire susceptibility S. Janizadeh et al. 10.1080/19475705.2023.2206512
58. Modeling impacts of climate change on return period of landslide triggering D. Peres & A. Cancelliere 10.1016/j.jhydrol.2018.10.036
59. 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
60. Physically based and distributed rainfall intensity and duration thresholds for shallow landslides R. Marin 10.1007/s10346-020-01481-9
61. Multi‐decadal changes in the relationships between rainfall characteristics and debris‐flow occurrences in response to gully evolution after the 1990–1995 Mount Unzen eruptions H. Tsunetaka et al. 10.1002/esp.5148
62. 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
63. Spatial variability of saturated hydraulic conductivity and measurement-based intensity-duration thresholds for slope stability, Santa Ynez Valley, CA P. Alessio 10.1016/j.geomorph.2019.06.004
64. Estimating the daily rainfall thresholds of regional debris flows in the Bailong River Basin, China Y. Zhao et al. 10.1007/s10064-023-03068-9
65. A survey of analytical methods for inclusion in a new energy-water nexus knowledge discovery framework M. Allen et al. 10.1080/20964471.2018.1524344
66. A physics-based model to derive rainfall intensity-duration threshold for debris flow S. Zhang et al. 10.1016/j.geomorph.2019.106930
67. Predicting storm-triggered debris flow events: application to the 2009 Ionian Peloritan disaster (Sicily, Italy) M. Cama et al. 10.5194/nhess-15-1785-2015
68. Landslide hydrology: from hydrology to pore pressure T. Bogaard & R. Greco 10.1002/wat2.1126
69. Definition and performance of a threshold-based regional early warning model for rainfall-induced landslides L. Piciullo et al. 10.1007/s10346-016-0750-2
70. Rainfall Induced Shallow Landslide Temporal Probability Modelling and Early Warning Research in Mountains Areas: A Case Study of Qin-Ba Mountains, Western China Y. Song et al. 10.3390/rs14235952
71. A review of the recent literature on rainfall thresholds for landslide occurrence S. Segoni et al. 10.1007/s10346-018-0966-4
72. Soil moisture information can improve shallow landslide forecasting using the hydrometeorological threshold approach P. Marino et al. 10.1007/s10346-020-01420-8
73. Worry about Climate Change and Urban Flooding Risk Preparedness in Southern Italy: A Survey in the Simeto River Valley (Sicily, Italy) P. Nanni et al. 10.3390/resources10030025
74. Variation in rainfall patterns triggering debris flow in the initiation zone of the Ichino-sawa torrent, Ohya landslide, Japan H. Tsunetaka et al. 10.1016/j.geomorph.2020.107529
75. Intention-Aware Interactive Transformer for Real-Time Vehicle Trajectory Prediction in Dense Traffic T. Jiang et al. 10.1177/03611981221119175
76. Evaluating the performances of satellite-based rainfall data for global rainfall-induced landslide warnings G. Jia et al. 10.1007/s10346-019-01277-6
77. A combined triggering-propagation modeling approach for the assessment of rainfall induced debris flow susceptibility L. Stancanelli et al. 10.1016/j.jhydrol.2017.04.038
78. A hydrology-process based method for correlating debris flow density to rainfall parameters and its application on debris flow prediction K. Long et al. 10.1016/j.jhydrol.2020.125124
79. Fast physically-based model for rainfall-induced landslide susceptibility assessment at regional scale V. Medina et al. 10.1016/j.catena.2021.105213
80. Development of environmental contours from rainfall intensity and duration data for slopes X. Wu et al. 10.1007/s11069-022-05709-w
81. Dealing with deep uncertainties in landslide modelling for disaster risk reduction under climate change S. Almeida et al. 10.5194/nhess-17-225-2017
82. Maximum entropy-based forest fire likelihood mapping: analysing the trends, distribution, and drivers of forest fires in Sikkim Himalaya P. Banerjee 10.1080/02827581.2021.1918239
83. Empirically Based Rainfall Threshold for Landslides Occurrence in Peninsular Malaysia A. Maturidi et al. 10.1007/s12205-021-1586-4
84. Influence of soil mechanical and hydraulic parameters on the definition of rainfall intensity and duration thresholds based on Transient rainfall infiltration and grid-based regional slope-stability model (TRIGRS) S. Zhang et al. 10.3389/feart.2022.971655
85. 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
86. Exploiting Maximum Entropy method and ASTER data for assessing debris flow and debris slide susceptibility for the Giampilieri catchment (north‐eastern Sicily, Italy) L. Lombardo et al. 10.1002/esp.3998
87. A simplified physically based coupled rainfall threshold model for triggering landslides Y. Wu et al. 10.1016/j.enggeo.2015.05.022
88. Physical Interpretation of Rainfall Thresholds for Runoff‐Generated Debris Flows M. Berti et al. 10.1029/2019JF005513