60 citations as recorded by crossref.

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3. Four-dimensional surface evolution of active rifting from spaceborne SAR data F. Casu & A. Manconi https://doi.org/10.1130/GES01225.1
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5. Limitations in the use of Sentinel-1 data for morphological change detection in rivers G. Marchetti et al. https://doi.org/10.1080/01431161.2023.2274317
6. Mapping slope movements in Alpine environments using TerraSAR-X interferometric methods C. Barboux et al. https://doi.org/10.1016/j.isprsjprs.2015.09.010
7. Landslide Extraction Using Mask R-CNN with Background-Enhancement Method R. Yang et al. https://doi.org/10.3390/rs14092206
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9. Railway Infrastructure Classification and Instability Identification Using Sentinel-1 SAR and Laser Scanning Data L. Chang et al. https://doi.org/10.3390/s20247108
10. The contribution of satellite SAR-derived displacement measurements in landslide risk management practices F. Raspini et al. https://doi.org/10.1007/s11069-016-2691-4
11. Geodetic Imaging of Time-Dependent Three-Component Surface Deformation: Application to Tidal-Timescale Ice Flow of Rutford Ice Stream, West Antarctica P. Milillo et al. https://doi.org/10.1109/TGRS.2017.2709783
12. Sentinel-1 SAR-based globally distributed co-seismic landslide detection by deep neural networks L. Nava et al. https://doi.org/10.5194/gmd-19-167-2026
13. UAV and Airborne LiDAR Data for Interpreting Kinematic Evolution of Landslide Movements: The Case Study of the Montescaglioso Landslide (Southern Italy) R. Pellicani et al. https://doi.org/10.3390/geosciences9060248
14. High-Resolution Spaceborne, Airborne and In Situ Landslide Kinematic Measurements of the Slumgullion Landslide in Southwest Colorado A. Madson et al. https://doi.org/10.3390/rs11030265
15. Assessment of glacier and ice dynamics through velocity computation using Sentinel Application Platform (SNAP) S. Nidup & A. Aggarwal https://doi.org/10.1007/s10751-026-02384-2
16. Post-failure evolution analysis of a rainfall-triggered landslide by multi-temporal interferometry SAR approaches integrated with geotechnical analysis P. Confuorto et al. https://doi.org/10.1016/j.rse.2016.11.002
17. A review of current trends, challenges, and future perspectives in machine learning applications to water resources in Nepal S. Chaulagain et al. https://doi.org/10.1016/j.hazadv.2025.100678
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19. Landslide Mapping in Vegetated Areas Using Change Detection Based on Optical and Polarimetric SAR Data S. Plank et al. https://doi.org/10.3390/rs8040307
20. Performance Evaluation of a Bridge Infrastructure Using Terrestrial Laser Scanning Technology A. Shafikani et al. https://doi.org/10.1520/GTJ20170325
21. Criteria for the optimal selection of remote sensing optical images to map event landslides F. Fiorucci et al. https://doi.org/10.5194/nhess-18-405-2018
22. Review on remote sensing methods for landslide detection using machine and deep learning A. Mohan et al. https://doi.org/10.1002/ett.3998
23. Long-Term Satellite Monitoring of the Slumgullion Landslide Using Space-Borne Synthetic Aperture Radar Sub-Pixel Offset Tracking D. Amitrano et al. https://doi.org/10.3390/rs11030369
24. Landslide displacement mapping based on ALOS-2/PALSAR-2 data using image correlation techniques and SAR interferometry: application to the Hell-Bourg landslide (Salazie Circle, La Réunion Island) D. Raucoules et al. https://doi.org/10.1080/10106049.2018.1508311
25. Combining SAR interferometric phase and intensity information for monitoring of large gradient deformation in coal mining area B. Chen et al. https://doi.org/10.5721/EuJRS20154839
26. Evaluation of the Use of Sub-Pixel Offset Tracking Techniques to Monitor Landslides in Densely Vegetated Steeply Sloped Areas L. Sun & J. Muller https://doi.org/10.3390/rs8080659
27. Mapping Surface Features Produced by an Active Landslide M. Parise et al. https://doi.org/10.1088/1755-1315/44/2/022029
28. 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
29. Phase and amplitude analyses of SAR data for landslide detection and monitoring in non-urban areas located in the North-Eastern Italian pre-Alps G. Tessari et al. https://doi.org/10.1007/s12665-017-6403-5
30. On the Use of Weighted Least-Squares Approaches for Differential Interferometric SAR Analyses: The Weighted Adaptive Variable-lEngth (WAVE) Technique F. Falabella et al. https://doi.org/10.3390/s20041103
31. UAV applications to assess short-term dynamics of slow-moving landslides under dense forest cover V. Ilinca et al. https://doi.org/10.1007/s10346-022-01877-9
32. Learnings from rapid response efforts to remotely detect landslides triggered by the August 2021 Nippes earthquake and Tropical Storm Grace in Haiti P. Amatya et al. https://doi.org/10.1007/s11069-023-06096-6
33. Rapid Mapping of Landslides on SAR Data by Attention U-Net L. Nava et al. https://doi.org/10.3390/rs14061449
34. Detection of glaciers displacement time-series using SAR L. Euillades et al. https://doi.org/10.1016/j.rse.2016.07.003
35. Sentinel-1 SAR Amplitude Imagery for Rapid Landslide Detection A. Mondini et al. https://doi.org/10.3390/rs11070760
36. Landslide Detection Using Multi-Scale Image Segmentation and Different Machine Learning Models in the Higher Himalayas S. Tavakkoli Piralilou et al. https://doi.org/10.3390/rs11212575
37. Rapid landslide detection from free optical satellite imagery using a robust change detection technique R. Coluzzi et al. https://doi.org/10.1038/s41598-025-89542-8
38. 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
39. Assessing the Potential of Long, Multi-Temporal SAR Interferometry Time Series for Slope Instability Monitoring: Two Case Studies in Southern Italy F. Bovenga et al. https://doi.org/10.3390/rs14071677
40. Time Series Analysis of Very Slow Landslides in the Three Gorges Region through Small Baseline SAR Offset Tracking L. Sun et al. https://doi.org/10.3390/rs9121314
41. The Role of Satellite InSAR for Landslide Forecasting: Limitations and Openings S. Moretto et al. https://doi.org/10.3390/rs13183735
42. Detecting and monitoring of landslides using persistent scattering synthetic aperture radar interferometry K. Shirani & M. Pasandi https://doi.org/10.1007/s12665-018-8042-x
43. Review of Satellite Interferometry for Landslide Detection in Italy L. Solari et al. https://doi.org/10.3390/rs12081351
44. Unsteady sediment discharge in earth flows: A case study from the Mount Pizzuto earth flow, southern Italy L. Guerriero et al. https://doi.org/10.1016/j.geomorph.2017.07.011
45. Testing the potential of Sentinel-1A TOPS interferometry for the detection and monitoring of landslides at local scale (Veneto Region, Italy) S. Fiaschi et al. https://doi.org/10.1007/s12665-017-6827-y
46. Satellite SAR interferometric techniques in support to emergency mapping M. Vassileva et al. https://doi.org/10.1080/22797254.2017.1360155
47. Advanced Three-Dimensional Finite Element Modeling of a Slow Landslide through the Exploitation of DInSAR Measurements and in Situ Surveys V. De Novellis et al. https://doi.org/10.3390/rs8080670
48. Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection O. Ghorbanzadeh et al. https://doi.org/10.3390/rs11020196
49. Combining differential SAR interferometry and the probability integral method for three-dimensional deformation monitoring of mining areas X. Diao et al. https://doi.org/10.1080/01431161.2016.1230284
50. A cautionary note for rock avalanche field investigation: recent sequential and overlapping landslides in British Columbia M. Geertsema & A. Bevington https://doi.org/10.1139/cgj-2019-0751
51. Compositional Features of Fine Sediments Involved in the Montescaglioso Landslide (Southern Italy) V. Summa et al. https://doi.org/10.1007/s12583-021-1579-8
52. Innovative Expert-Based Tools for Spatiotemporal Shallow Landslides Mapping: Field Validation of the GOGIRA System and Ex-MAD Framework in Western Greece M. Licata et al. https://doi.org/10.3390/geosciences15070250
53. Identification, Monitoring, and Assessment of an Active Landslide in Tavan-Hauthao, Sapa, Laocai, Vietnam – A Multidisciplinary Approach M. Nguyen et al. https://doi.org/10.20965/jdr.2021.p0501
54. Landslide failures detection and mapping using Synthetic Aperture Radar: Past, present and future A. Mondini et al. https://doi.org/10.1016/j.earscirev.2021.103574
55. Evaluation of Multiple Classifier Systems for Landslide Identification in LANDSAT Thematic Mapper (TM) Images L. Manfré et al. https://doi.org/10.3390/ijgi5090164
56. An integrated geophysical approach for urban underground characterization: the Avigliano town (southern Italy) case study G. Calamita et al. https://doi.org/10.1080/19475705.2018.1526220
57. Surface Instability Mapping in Alpine Paraglacial Environments Using Sentinel-1 DInSAR Techniques N. Jones et al. https://doi.org/10.1109/JSTARS.2023.3287285
58. When image correlation is needed: Unravelling the complex dynamics of a slow-moving landslide in the tropics with dense radar and optical time series A. Dille et al. https://doi.org/10.1016/j.rse.2021.112402
59. Landslide detection, monitoring and prediction with remote-sensing techniques N. Casagli et al. https://doi.org/10.1038/s43017-022-00373-x
60. Exploitation of Amplitude and Phase of Satellite SAR Images for Landslide Mapping: The Case of Montescaglioso (South Italy) F. Raspini et al. https://doi.org/10.3390/rs71114576