66 citations as recorded by crossref.

1. Review of Satellite Interferometry for Landslide Detection in Italy L. Solari et al.
2. Mapping of slow landslides on the Palos Verdes Peninsula using the California landslide inventory and persistent scatterer interferometry E. Bouali et al.
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.
4. Assessment of Slow Deformations and Landslide Modelling in the Urban Area through a Multi-Methodological Approach F. Ietto et al.
5. From PS-InSAR observations to building-level risk: A data-driven framework for urban structural resilience M. Yang et al.
6. Earthquake-induced landslide monitoring and survey by means of InSAR T. Smail et al.
7. Landslide hazard assessment in the Himalayas (Nepal and Bhutan) based on Earth-Observation data C. Ambrosi et al.
8. The integration of slow-moving landslide features, MT-InSAR data, damage survey results and deep learning algorithms for building vulnerability zoning and forecast T. Zeng et al.
9. 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. Impacts on mountain settlements of a large slow rock-slope deformation: a multi-temporal and multi-source investigation M. Cignetti et al.
11. 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.
12. Geology, slow-moving landslides, and damages to buildings in the Verbicaro area (north-western Calabria region, southern Italy) L. Borrelli et al.
13. Mapping Vulnerable Urban Areas Affected by Slow-Moving Landslides Using Sentinel-1 InSAR Data M. Béjar-Pizarro et al.
14. Dynamic landslide susceptibility assessment in Zhouqu County, China, based on SBAS-InSAR and a Stacking ensemble learning model X. Guan et al.
15. Kinematic and Geometric Characterization of the Vögelsberg Rockslide (Tyrol, Austria) by Means of MT-InSAR Data F. Vecchiotti et al.
16. Evaluating sub-pixel offset techniques as an alternative to D-InSAR for monitoring episodic landslide movements in vegetated terrain A. Singleton et al.
17. Combined use of statistical and DInSAR data analyses to define the state of activity of slow-moving landslides M. Calvello et al.
18. 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.
19. 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.
20. Semi-automatic ranking of landslide candidate areas at a regional scale using EGMS InSAR data for territorial planning and risk management G. Marmoni et al.
21. An improved method of three-dimensional displacement field generation in mining areas with a single InSAR pair H. Fan et al.
22. Monitoring Buildings at Landslide Risk With SAR: A Methodology Based on the Use of Multipass Interferometric Data C. Noviello et al.
23. 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.
24. From a phenomenological to a geomechanical approach to landslide hazard analysis F. Cotecchia et al.
25. Geo‐hydro‐mechanics for quantitative landslide hazard assessment (QHA) F. COTECCHIA et al.
26. 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.
27. Building Deformation Assessment by Means of Persistent Scatterer Interferometry Analysis on a Landslide-Affected Area: The Volterra (Italy) Case Study S. Bianchini et al.
28. A-Differential Synthetic Aperture Radar Interferometry analysis of a Deep Seated Gravitational Slope Deformation occurring at Bisaccia (Italy) D. Di Martire et al.
29. Multi-scale analysis of settlement-induced building damage using damage surveys and DInSAR data: A case study in The Netherlands D. Peduto et al.
30. Multi-temporal landslide activity investigation by spaceborne SAR interferometry: The case study of the Polish Carpathians K. Pawluszek-Filipiak et al.
31. Use of DInSAR Data for Multi-level Vulnerability Assessment of Urban Settings Affected by Slow-moving and Intermittent Landslides D. Infante et al.
32. 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.
33. Assessment of alternative forest road routes and landslide susceptibility mapping using machine learning E. Buğday & A. Akay
34. Multitemporal landslides inventory map updating using spaceborne SAR analysis C. Del Ventisette et al.
35. A multi-scale methodological approach for slow-moving landslide risk mitigation in urban areas, southern Italy S. Ferlisi et al.
36. Big data managing in a landslide early warning system: experience from a ground-based interferometric radar application E. Intrieri et al.
37. Quantitative analysis of consequences to masonry buildings interacting with slow-moving landslide mechanisms: a case study D. Peduto et al.
38. From satellite interferometry displacements to potential damage maps: A tool for risk reduction and urban planning A. Barra et al.
39. Integration of interpretable machine learning and MT-InSAR for dynamic enhancement of landslide susceptibility in the Three Gorges Reservoir Area F. Zhao et al.
40. Machine Learning: New Potential for Local and Regional Deep-Seated Landslide Nowcasting A. van Natijne et al.
41. Advanced integration of ensemble learning and MT-InSAR for enhanced slow-moving landslide susceptibility zoning T. Zeng et al.
42. 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.
43. A methodology for ground motion area detection (GMA-D) using A-DInSAR time series in landslide investigations M. Bordoni et al.
44. Retrieval and Prediction of Three-Dimensional Displacements by Combining the DInSAR and Probability Integral Method in a Mining Area C. Zhu et al.
45. Shallow Landslides Physically Based Susceptibility Assessment Improvement Using InSAR. Case Study: Carpathian and Subcarpathian Prahova Valley, Romania I. Armaș et al.
46. Geometric and kinematic characterization of landslides affecting urban areas: the Lungro case study (Calabria, Southern Italy) G. Gullà et al.
47. Analysis and quantification of potential consequences in multirisk coastal context at different spatial scales (Normandy, France) K. Graff et al.
48. Coupling finite element modelling and InSAR data for enhanced understanding of landslide behaviour along highway infrastructures A. Vitaletti et al.
49. Landslide detection and characterization using terrestrial 3D laser scanning (LiDAR) M. Ozdogan
50. Empirical fragility and vulnerability curves for buildings exposed to slow-moving landslides at medium and large scales D. Peduto et al.
51. Detection of buildings with potential damage using differential deformation maps S. Shahbazi et al.
52. A slow-moving landslide risk assessment procedure using thematic maps and InSAR data: a case study C. Dai et al.
53. Sentinel-1 P-SBAS data for the update of the state of activity of national landslide inventory maps P. Confuorto et al.
54. Probabilistic analysis of settlement-induced damage to bridges in the city of Amsterdam (The Netherlands) D. Peduto et al.
55. Multi-Source Data Integration to Investigate a Deep-Seated Landslide Affecting a Bridge J. Pastor et al.
56. 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.
57. Ultimate loads on buildings in landslides S. Hug et al.
58. Multi-source data-based quantitative risk analysis of road networks to slow-moving landslides D. Peduto et al.
59. From ERS 1/2 to Sentinel-1: Subsidence Monitoring in Italy in the Last Two Decades L. Solari et al.
60. DInSAR data assimilation for settlement prediction: case study of a railway embankment in the Netherlands D. Peduto et al.
61. Numerical modelling of geological processes as means for the diagnosis of ancient landslide mechanisms V. Tagarelli et al.
62. Sentinel-1 imagery for wide-scale quantitative landslide vulnerability assessment of buildings F. Poggi et al.
63. Landslide state of activity maps by combining multi-temporal A-DInSAR (LAMBDA) R. Bonì et al.
64. Characterization of elements at risk in the multirisk coastal context and at different spatial scales: Multi-database integration (normandy, France). K. Graff et al.
65. Uncertainty pattern in landslide susceptibility prediction modelling: Effects of different landslide boundaries and spatial shape expressions F. Huang et al.
66. 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.