45 citations as recorded by crossref.

1. A comparative study of different kinematics - based methods to predict the time of slope failure S. Philip et al. 10.1088/1757-899X/1116/1/012158
2. 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
3. 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
4. Relationship between river bank stability and hydrological processes using in situ measurement data G. Mentes 10.1556/24.62.2019.01
5. A reliability evaluation of four landslide failure forecasting methods in real-time monitoring applications S. Sharifi et al. 10.1007/s10346-024-02293-x
6. Deep learning powered long-term warning systems for reservoir landslides T. Zeng et al. 10.1016/j.ijdrr.2023.103820
7. Correlation between Acoustic Emission Behaviour and Dynamics Model during Three-Stage Deformation Process of Soil Landslide L. Deng et al. 10.3390/s21072373
8. Landslide detection, monitoring and prediction with remote-sensing techniques N. Casagli et al. 10.1038/s43017-022-00373-x
9. Landslide-prone areas in Makale Selatan with the analytical hierarchy process method Y. Sarma et al. 10.1088/1755-1315/1230/1/012083
10. Can satellite InSAR innovate the way of large landslide early warning? P. Zeng et al. 10.1016/j.enggeo.2024.107771
11. An analytical solution for critical sliding surface of stepped rock slope: a case study of Xinjing coal mine landslide X. Huang et al. 10.1007/s10064-024-04079-w
12. A cellular automaton integrating spatial case-based reasoning for predicting local landslide hazards J. Chen et al. 10.1080/13658816.2023.2273877
13. Algorithms to enhance detection of landslide acceleration moment and time-to-failure forecast using time-series displacements S. Sharifi et al. 10.1016/j.enggeo.2022.106832
14. Landslide displacement prediction by using Bayesian optimization–temporal convolutional networks J. Yang et al. 10.1007/s11440-023-02205-8
15. Analyzing the formation mechanism of the Xuyong landslide, Sichuan province, China, and emergency monitoring based on multiple remote sensing platform techniques Y. Luo et al. 10.1080/19475705.2020.1745903
16. Pinpointing Early Signs of Impending Slope Failures From Space S. Zhou et al. 10.1029/2021JB022957
17. Reply to discussion on “Guidelines on the use of inverse velocity method as a tool for setting alarm thresholds and forecasting landslides and structure collapses” by F. Bozzano, P. Mazzanti, and S. Moretto T. Carlà et al. 10.1007/s10346-018-0991-3
18. A new prediction method for the occurrence of landslides based on the time history of tilting of the slope surface J. Xie et al. 10.1007/s10346-019-01283-8
19. Forecasting the time of failure of landslides at slope-scale: A literature review E. Intrieri et al. 10.1016/j.earscirev.2019.03.019
20. Landslide susceptibility and building exposure assessment using machine learning models and geospatial analysis techniques C. Luu et al. 10.1016/j.asr.2024.08.046
21. Prediction of landslide displacement using multi-kernel extreme learning machine and maximum information coefficient based on variational mode decomposition: a case study in Shaanxi, China Q. Ling et al. 10.1007/s11069-021-04713-w
22. 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
23. Monitoring the risk of a tailings dam collapse through spectral analysis of satellite InSAR time-series data S. Das et al. 10.1007/s00477-024-02713-3
24. 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
25. KLC2020 implementation: challenges for the development of satellite landslide early warning systems E. Intrieri et al. 10.1007/s10346-021-01721-6
26. Formation mechanism and dynamic process of open-pit coal mine landslides: a case study of the Xinjing landslide in Inner Mongolia, China Q. Wang et al. 10.1007/s10346-023-02193-6
27. Automatic approach for increasing the location accuracy of slow-moving landslide endogenous seismicity: the APOLoc method F. Provost et al. 10.1093/gji/ggy330
28. Experimental Study on the Relationship between the Velocity of Surface Movements and Tilting Rate in Pre-Failure Stage of Rainfall-Induced Landslides J. Xie et al. 10.3390/s21185988
29. An approach for prospective forecasting of rock slope failure time J. Leinauer et al. 10.1038/s43247-023-00909-z
30. Forecasting landslide deformation by integrating domain knowledge into interpretable deep learning considering spatiotemporal correlations Z. Ma & G. Mei 10.1016/j.jrmge.2024.02.034
31. A spatial case-based reasoning method for regional landslide risk assessment Z. Zhao et al. 10.1016/j.jag.2021.102381
32. Landslide time-of-failure forecast and alert threshold assessment: A generalized criterion A. Segalini et al. 10.1016/j.enggeo.2018.08.003
33. Bayesian machine learning-based method for prediction of slope failure time J. Zhang et al. 10.1016/j.jrmge.2021.09.010
34. A robust discretization method of factor screening for landslide susceptibility mapping using convolution neural network, random forest, and logistic regression models Z. Zhao & J. Chen 10.1080/17538947.2023.2174192
35. Kinematics and Controlling Factors of Slow-Moving Landslides in Central Texas: A Multisource Data Fusion Approach E. Gebremichael et al. 10.3390/geosciences14050133
36. Indeterminacy of displacement and stress of geologic rock mass system in the critically non-stationary state: implication on prediction of geo-hazards Z. Feng et al. 10.1007/s11069-021-04611-1
37. Lateral edifice collapse and volcanic debris avalanches: a post-1980 Mount St. Helens perspective L. Siebert & M. Reid 10.1007/s00445-023-01662-z
38. 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
39. A Stochastic Dynamical Model of Slope Creep and Failure Q. Lei & D. Sornette 10.1029/2022GL102587
40. Time-series-analysis-based detection of critical transitions in real-world non-autonomous systems K. Lehnertz 10.1063/5.0214733
41. 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. 10.1016/j.enggeo.2018.01.021
42. Probabilistic prediction of slope failure time J. Zhang et al. 10.1016/j.enggeo.2020.105586
43. Critical assessment of landslide failure forecasting methods with case histories: a comparative study of INV, MINV, SLO, and VOA S. Sharifi et al. 10.1007/s10346-024-02237-5
44. Landslide failure time prediction with a new model: case studies in Fushun west open pit mine, China J. Hu et al. 10.1007/s10064-024-03902-8
45. The Maoxian landslide as seen from space: detecting precursors of failure with Sentinel-1 data E. Intrieri et al. 10.1007/s10346-017-0915-7