58 citations as recorded by crossref.

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2. Mapping of slow landslides on the Palos Verdes Peninsula using the California landslide inventory and persistent scatterer interferometry E. Bouali et al. 10.1007/s10346-017-0882-z
3. Combining Statistical, Displacement and Damage Analyses to Study Slow-Moving Landslides Interacting with Roads: Two Case Studies in Southern Italy G. Pecoraro et al. 10.3390/app13053368
4. Assessment of Slow Deformations and Landslide Modelling in the Urban Area through a Multi-Methodological Approach F. Ietto et al. 10.1007/s12583-024-0056-6
5. Earthquake-induced landslide monitoring and survey by means of InSAR T. Smail et al. 10.5194/nhess-22-1609-2022
6. Landslide hazard assessment in the Himalayas (Nepal and Bhutan) based on Earth-Observation data C. Ambrosi et al. 10.1016/j.enggeo.2018.02.020
7. Analysis and Classification of Natural and Human-Induced Ground Deformations at Regional Scale (Campania, Italy) Detected by Satellite Synthetic-Aperture Radar Interferometry Archive Datasets F. Matano 10.3390/rs11232822
8. Impacts on mountain settlements of a large slow rock-slope deformation: a multi-temporal and multi-source investigation M. Cignetti et al. 10.1007/s10346-023-02163-y
9. Small-scale analysis to rank municipalities requiring slow-moving landslide risk mitigation measures: the case study of the Calabria region (southern Italy) G. Gullà et al. 10.1186/s40677-021-00202-1
10. Geology, slow-moving landslides, and damages to buildings in the Verbicaro area (north-western Calabria region, southern Italy) L. Borrelli et al. 10.1080/17445647.2018.1425164
11. Mapping Vulnerable Urban Areas Affected by Slow-Moving Landslides Using Sentinel-1 InSAR Data M. Béjar-Pizarro et al. 10.3390/rs9090876
12. Kinematic and Geometric Characterization of the Vögelsberg Rockslide (Tyrol, Austria) by Means of MT-InSAR Data F. Vecchiotti et al. 10.3390/geosciences12070256
13. Evaluating sub-pixel offset techniques as an alternative to D-InSAR for monitoring episodic landslide movements in vegetated terrain A. Singleton et al. 10.1016/j.rse.2014.03.003
14. Combined use of statistical and DInSAR data analyses to define the state of activity of slow-moving landslides M. Calvello et al. 10.1007/s10346-016-0722-6
15. Full integration of geomorphological, geotechnical, A-DInSAR and damage data for detailed geometric-kinematic features of a slow-moving landslide in urban area D. Peduto et al. 10.1007/s10346-020-01541-0
16. Monitoring and Mapping of Shallow Landslides in a Tropical Environment Using Persistent Scatterer Interferometry: A Case Study from the Western Ghats, India A. Rajaneesh et al. 10.3390/geomatics1010002
17. An improved method of three-dimensional displacement field generation in mining areas with a single InSAR pair H. Fan et al. 10.1080/22797254.2019.1654927
18. Monitoring Buildings at Landslide Risk With SAR: A Methodology Based on the Use of Multipass Interferometric Data C. Noviello et al. 10.1109/MGRS.2019.2963140
19. Investigating the kinematics of the unstable slope of Barberà de la Conca (Catalonia, Spain) and the effects on the exposed facilities by GBSAR and multi-source conventional monitoring D. Peduto et al. 10.1007/s10346-020-01500-9
20. From a phenomenological to a geomechanical approach to landslide hazard analysis F. Cotecchia et al. 10.1080/19648189.2014.968744
21. Geo‐hydro‐mechanics for quantitative landslide hazard assessment (QHA) F. COTECCHIA et al. 10.1002/cepa.662
22. Slow-moving landslides interacting with the road network: Analysis of damage using ancillary data, in situ surveys and multi-source monitoring data N. Nappo et al. 10.1016/j.enggeo.2019.105244
23. Building Deformation Assessment by Means of Persistent Scatterer Interferometry Analysis on a Landslide-Affected Area: The Volterra (Italy) Case Study S. Bianchini et al. 10.3390/rs70404678
24. A-Differential Synthetic Aperture Radar Interferometry analysis of a Deep Seated Gravitational Slope Deformation occurring at Bisaccia (Italy) D. Di Martire et al. 10.1016/j.scitotenv.2016.01.102
25. Multi-scale analysis of settlement-induced building damage using damage surveys and DInSAR data: A case study in The Netherlands D. Peduto et al. 10.1016/j.enggeo.2016.12.018
26. Multi-temporal landslide activity investigation by spaceborne SAR interferometry: The case study of the Polish Carpathians K. Pawluszek-Filipiak et al. 10.1016/j.rsase.2021.100629
27. Use of DInSAR Data for Multi-level Vulnerability Assessment of Urban Settings Affected by Slow-moving and Intermittent Landslides D. Infante et al. 10.1016/j.proeng.2016.08.474
28. Analysis of Damage to Buildings in Urban Centers on Unstable Slopes via TerraSAR-X PSI Data: The Case Study of El Papiol Town (Spain) D. Peduto et al. 10.1109/LGRS.2019.2907557
29. Assessment of alternative forest road routes and landslide susceptibility mapping using machine learning E. Buğday & A. Akay 10.1590/01047760202228012976
30. Multitemporal landslides inventory map updating using spaceborne SAR analysis C. Del Ventisette et al. 10.1016/j.jag.2014.02.008
31. A multi-scale methodological approach for slow-moving landslide risk mitigation in urban areas, southern Italy S. Ferlisi et al. 10.1007/s41207-019-0110-4
32. Big data managing in a landslide early warning system: experience from a ground-based interferometric radar application E. Intrieri et al. 10.5194/nhess-17-1713-2017
33. Quantitative analysis of consequences to masonry buildings interacting with slow-moving landslide mechanisms: a case study D. Peduto et al. 10.1007/s10346-018-1014-0
34. From satellite interferometry displacements to potential damage maps: A tool for risk reduction and urban planning A. Barra et al. 10.1016/j.rse.2022.113294
35. Machine Learning: New Potential for Local and Regional Deep-Seated Landslide Nowcasting A. van Natijne et al. 10.3390/s20051425
36. Advanced integration of ensemble learning and MT-InSAR for enhanced slow-moving landslide susceptibility zoning T. Zeng et al. 10.1016/j.enggeo.2024.107436
37. A multi-disciplinary approach for the damage analysis of cultural heritage: The case study of the St. Gerlando Cathedral in Agrigento D. Reale et al. 10.1016/j.rse.2019.111464
38. A methodology for ground motion area detection (GMA-D) using A-DInSAR time series in landslide investigations M. Bordoni et al. 10.1016/j.catena.2017.12.013
39. Retrieval and Prediction of Three-Dimensional Displacements by Combining the DInSAR and Probability Integral Method in a Mining Area C. Zhu et al. 10.1109/JSTARS.2020.2978288
40. Shallow Landslides Physically Based Susceptibility Assessment Improvement Using InSAR. Case Study: Carpathian and Subcarpathian Prahova Valley, Romania I. Armaș et al. 10.3390/rs13122385
41. Geometric and kinematic characterization of landslides affecting urban areas: the Lungro case study (Calabria, Southern Italy) G. Gullà et al. 10.1007/s10346-015-0676-0
42. Analysis and quantification of potential consequences in multirisk coastal context at different spatial scales (Normandy, France) K. Graff et al. 10.1007/s11069-019-03763-5
43. Landslide detection and characterization using terrestrial 3D laser scanning (LiDAR) M. Ozdogan 10.13168/AGG.2019.0032
44. Empirical fragility and vulnerability curves for buildings exposed to slow-moving landslides at medium and large scales D. Peduto et al. 10.1007/s10346-017-0826-7
45. Detection of buildings with potential damage using differential deformation maps S. Shahbazi et al. 10.1016/j.isprsjprs.2024.10.008
46. A slow-moving landslide risk assessment procedure using thematic maps and InSAR data: a case study C. Dai et al. 10.1080/17499518.2025.2467994
47. Sentinel-1 P-SBAS data for the update of the state of activity of national landslide inventory maps P. Confuorto et al. 10.1007/s10346-022-02024-0
48. Probabilistic analysis of settlement-induced damage to bridges in the city of Amsterdam (The Netherlands) D. Peduto et al. 10.1016/j.trgeo.2018.01.002
49. Multi-Source Data Integration to Investigate a Deep-Seated Landslide Affecting a Bridge J. Pastor et al. 10.3390/rs11161878
50. The use of satellite data to support the structural health monitoring in areas affected by slow-moving landslides: a potential application to reinforced concrete buildings A. Miano et al. 10.1177/1475921720983232
51. Ultimate loads on buildings in landslides S. Hug et al. 10.1680/jgeot.17.P.134
52. Multi-source data-based quantitative risk analysis of road networks to slow-moving landslides D. Peduto et al. 10.1016/j.enggeo.2025.108011
53. From ERS 1/2 to Sentinel-1: Subsidence Monitoring in Italy in the Last Two Decades L. Solari et al. 10.3389/feart.2018.00149
54. DInSAR data assimilation for settlement prediction: case study of a railway embankment in the Netherlands D. Peduto et al. 10.1139/cgj-2016-0425
55. Landslide state of activity maps by combining multi-temporal A-DInSAR (LAMBDA) R. Bonì et al. 10.1016/j.rse.2018.08.013
56. Characterization of elements at risk in the multirisk coastal context and at different spatial scales: Multi-database integration (normandy, France). K. Graff et al. 10.1016/j.apgeog.2019.102076
57. Uncertainty pattern in landslide susceptibility prediction modelling: Effects of different landslide boundaries and spatial shape expressions F. Huang et al. 10.1016/j.gsf.2021.101317
58. Quantitative analysis of the risk to road networks exposed to slow-moving landslides: a case study in the Campania region (southern Italy) S. Ferlisi et al. 10.1007/s10346-020-01482-8