74 citations as recorded by crossref.

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24. Recent advancements in multi-temporal methods applied to new generation SAR systems and applications in South America P. Euillades et al. 10.1016/j.jsames.2021.103410
25. InterpolatiON of InSAR Time series for the dEtection of ground deforMatiOn eVEnts (ONtheMOVE): application to slow-moving landslides L. Pedretti et al. 10.1007/s10346-023-02073-z
26. Dam Deformation Monitoring using Cloud-Based P-SBAS Algorithm: The Kramis Dam Case (Algeria) K. Hasni et al. 10.48084/etasr.5857
27. Deceleration captured by InSAR after local stabilization works in a slow-moving landslide: the case of Arcos de la Frontera (SW Spain) G. Bru et al. 10.1007/s10346-024-02292-y
28. The role of imaging radar in cultural heritage: From technologies to applications F. Chen et al. 10.1016/j.jag.2022.102907
29. Synergistic Use of Synthetic Aperture Radar Interferometry and Geomorphological Analysis in Slow-Moving Landslide Investigation in the Northern Apennines (Italy) C. Parenti et al. 10.3390/land13091505
30. Ground Movement Classification Using Statistical Tests Over Persistent Scatterer Interferometry Time Series S. Mirmazloumi et al. 10.1016/j.procs.2021.11.068
31. The challenge to use multi-temporal InSAR for landslide early warning M. Schlögl et al. 10.1007/s11069-022-05289-9
32. A Clustering Approach for the Analysis of InSAR Time Series: Application to the Bandung Basin (Indonesia) M. Rygus et al. 10.3390/rs15153776
33. Identification of Precursors in InSAR Time Series Using Functional Data Analysis Post-Processing: Demonstration on Mud Volcano Eruptions M. Fontana et al. 10.3390/rs16071191
34. Advanced SAR Interferometric Analysis to Support Geomorphological Interpretation of Slow-Moving Coastal Landslides (Malta, Mediterranean Sea) M. Mantovani et al. 10.3390/rs8060443
35. Identification of Landslide Precursors for Early Warning of Hazards with Remote Sensing K. Strząbała et al. 10.3390/rs16152781
36. Ground Stability Monitoring of Undermined and Landslide Prone Areas by Means of Sentinel-1 Multi-Temporal InSAR, Case Study from Slovakia R. Czikhardt et al. 10.3390/geosciences7030087
37. Building health monitoring in the old town of Madrid: applicability of SAR Imagery to the monitoring of underground works through classification indexes A. Garcia et al. 10.1080/17538947.2020.1815878
38. Copernicus Sentinel-1 MT-InSAR, GNSS and Seismic Monitoring of Deformation Patterns and Trends at the Methana Volcano, Greece T. Gatsios et al. 10.3390/app10186445
39. Complex Surface Deformation of the Coalfield in the Northwest Suburbs of Xuzhou from 2015 to 2020 Revealed by Time Series InSAR L. Li et al. 10.1080/07038992.2021.1951190
40. The contribution of satellite SAR-derived displacement measurements in landslide risk management practices F. Raspini et al. 10.1007/s11069-016-2691-4
41. InSAR phase gradient reveals fault‐zone controls on the spatial distribution of slow‐moving landslides in the active orogenic region of Hazara‐Kashmir, Pakistan S. Ahmad et al. 10.1002/esp.6015
42. Automatic Mapping of Potential Landslides Using Satellite Multitemporal Interferometry Y. Zhang et al. 10.3390/rs15204951
43. Statistically-Based Trend Analysis of MTInSAR Displacement Time Series F. Bovenga et al. 10.3390/rs13122302
44. Using advanced InSAR techniques to monitor landslide deformations induced by tunneling in the Northern Apennines, Italy B. Bayer et al. 10.1016/j.enggeo.2017.03.026
45. Investigation of a Small Landslide in the Qinghai-Tibet Plateau by InSAR and Absolute Deformation Model J. Hao et al. 10.3390/rs11182126
46. PSInSAR Analysis in the Pisa Urban Area (Italy): A Case Study of Subsidence Related to Stratigraphical Factors and Urbanization L. Solari et al. 10.3390/rs8020120
47. A new method to detect changes in displacement rates of slow-moving landslides using InSAR time series A. Urgilez Vinueza et al. 10.1007/s10346-022-01913-8
48. The relationship between intermittent coherence and precision of ISBAS InSAR ground motion velocities: ERS-1/2 case studies in the UK F. Cigna & A. Sowter 10.1016/j.rse.2017.05.016
49. Tunnel-induced land subsidence assessment in a densely populated residential area using Sentinel-1 PS-InSAR A. Karunathilake et al. 10.1007/s44288-024-00086-2
50. Satellite InSAR survey of structurally-controlled land subsidence due to groundwater exploitation in the Aguascalientes Valley, Mexico F. Cigna & D. Tapete 10.1016/j.rse.2020.112254
51. Analysis of InSAR displacements for the slopes around Odelouca reservoir D. Roque et al. 10.1016/j.procs.2018.10.048
52. Offline-Online Change Detection for Sentinel-1 InSAR Time Series E. Hussain et al. 10.3390/rs13091656
53. Statistical and Independent Component Analysis of Sentinel-1 InSAR Time Series to Assess Land Subsidence Trends C. Farías et al. 10.3390/rs16214066
54. From ERS-1/2 to Sentinel-1: two decades of subsidence monitored through A-DInSAR techniques in the Ravenna area (Italy) S. Fiaschi et al. 10.1080/15481603.2016.1269404
55. A Data Mining Approach for Multivariate Outlier Detection in Postprocessing of Multitemporal InSAR Results M. Bakon et al. 10.1109/JSTARS.2017.2686646
56. Exploring the InSAR Deformation Series Using Unsupervised Learning in a Built Environment M. Yang et al. 10.3390/rs16081375
57. Site scale landslide deformation and strain analysis using MT-InSAR and GNSS approach – A case study V. Kumar Maurya et al. 10.1016/j.asr.2022.05.028
58. Deformation responses of slow moving landslides to seasonal rainfall in the Northern Apennines, measured by InSAR B. Bayer et al. 10.1016/j.geomorph.2018.02.020
59. PSDefoPAT—Persistent Scatterer Deformation Pattern Analysis Tool M. Evers et al. 10.3390/rs15194646
60. Monitoring reclaimed lands subsidence in Hong Kong with InSAR technique by persistent and distributed scatterers M. Wang et al. 10.1007/s11069-016-2196-1
61. Landslide detection, monitoring and prediction with remote-sensing techniques N. Casagli et al. 10.1038/s43017-022-00373-x
62. Continuous, semi-automatic monitoring of ground deformation using Sentinel-1 satellites F. Raspini et al. 10.1038/s41598-018-25369-w
63. Supervised Machine Learning Algorithms for Ground Motion Time Series Classification from InSAR Data S. Mirmazloumi et al. 10.3390/rs14153821
64. Reactivation of an old landslide in north–central Iran following reservoir impoundment: Results from multisensor satellite time-series analysis M. Vassileva et al. 10.1016/j.enggeo.2023.107337
65. Rating health and stability of engineering structures via classification indexes of InSAR Persistent Scatterers F. Pratesi et al. 10.1016/j.jag.2015.04.012
66. A User-Oriented Methodology for DInSAR Time Series Analysis and Interpretation: Landslides and Subsidence Case Studies D. Notti et al. 10.1007/s00024-015-1071-4
67. Methodology for Detection and Interpretation of Ground Motion Areas with the A-DInSAR Time Series Analysis R. Bonì et al. 10.3390/rs8080686
68. 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
69. A Methodology to Detect and Characterize Uplift Phenomena in Urban Areas Using Sentinel-1 Data R. Bonì et al. 10.3390/rs10040607
70. Present-day land subsidence rates, surface faulting hazard and risk in Mexico City with 2014–2020 Sentinel-1 IW InSAR F. Cigna & D. Tapete 10.1016/j.rse.2020.112161
71. A bridge-tailored multi-temporal DInSAR approach for remote exploration of deformation characteristics and mechanisms of complexly structured bridges X. Qin et al. 10.1016/j.isprsjprs.2019.08.003
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