22 citations as recorded by crossref.

1. The late Little Ice Age landslide calamity in North Bohemia: Triggers, impacts and post-landslide development reconstructed from documentary data (case study of the Kozí vrch Hill landslide) P. Raška et al. https://doi.org/10.1016/j.geomorph.2015.12.009
2. Internet of Things Geosensor Network for Cost-Effective Landslide Early Warning Systems M. Gamperl et al. https://doi.org/10.3390/s21082609
3. Lights-Transformer: An Efficient Transformer-Based Landslide Detection Model for High-Resolution Remote Sensing Images X. Wu et al. https://doi.org/10.3390/s25123646
4. Review and Future Perspective of Geophysical Methods Applied in Nearshore Site Characterization C. Tsai & C. Lin https://doi.org/10.3390/jmse10030344
5. Impact of an Uncertain Structural Constraint on Electrical Resistivity Tomography for Water Content Estimation in Landslides J. Grifka et al. https://doi.org/10.3390/land11081207
6. Integrated geophysical and geological surveys reveal new details of the large Montescaglioso (southern Italy) landslide of December 2013 G. Calamita et al. https://doi.org/10.1016/j.enggeo.2023.106984
7. Monitoring strategies for local landslide early warning systems G. Pecoraro et al. https://doi.org/10.1007/s10346-018-1068-z
8. Analysis of Geotechnical-Assisted 2-D Electrical Resistivity Tomography Monitoring of Slope Instability in Residual Soil of Weathered Granitic Basement O. Olabode et al. https://doi.org/10.3389/feart.2020.580230
9. Combining Site Characterization, Monitoring and Hydromechanical Modeling for Assessing Slope Stability S. Moradi et al. https://doi.org/10.3390/land10040423
10. Landslide Deformation Extraction from Terrestrial Laser Scanning Data with Weighted Least Squares Regularization Iteration Solution L. Zhao et al. https://doi.org/10.3390/rs14122897
11. 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
12. Changes in ground deformation prior to and following a large urban landslide in La Paz, Bolivia, revealed by advanced InSAR N. Roberts et al. https://doi.org/10.5194/nhess-19-679-2019
13. Sliding Time Master Digital Image Correlation Analyses of CubeSat Images for landslide Monitoring: The Rattlesnake Hills Landslide (USA) P. Mazzanti et al. https://doi.org/10.3390/rs12040592
14. A cloud-based landslide and weather nowcasting system with collaborative machine learning for the Chitrakoot region in Mauritius T. Fowdur et al. https://doi.org/10.1016/j.meadig.2025.100008
15. Geophysical Monitoring of Moisture‐Induced Landslides: A Review J. Whiteley et al. https://doi.org/10.1029/2018RG000603
16. 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
17. Digital Image Correlation (DIC) Analysis of the 3 December 2013 Montescaglioso Landslide (Basilicata, Southern Italy): Results from a Multi-Dataset Investigation P. Caporossi et al. https://doi.org/10.3390/ijgi7090372
18. Web-Based Platforms for Landslide Risk Mitigation: The State of the Art G. Bossi et al. https://doi.org/10.3390/w15081632
19. Geoelectrical characterization and monitoring of slopes on a rainfall-triggered landslide simulator A. Hojat et al. https://doi.org/10.1016/j.jappgeo.2019.103844
20. Rapid characterisation of landslide heterogeneity using unsupervised classification of electrical resistivity and seismic refraction surveys J. Whiteley et al. https://doi.org/10.1016/j.enggeo.2021.106189
21. Hybrid Bayesian network-based landslide risk assessment method for modeling risk for industrial facilities subjected to landslides M. Lan et al. https://doi.org/10.1016/j.ress.2021.107851
22. High-resolution monitoring of landslides with UAS photogrammetry and digital image correlation F. Mugnai et al. https://doi.org/10.1080/22797254.2023.2216361