84 citations as recorded by crossref.

1. Natural and Anthropogenic Geohazards in Greater London Observed from Geological and ERS-1/2 and ENVISAT Persistent Scatterers Ground Motion Data: Results from the EC FP7-SPACE PanGeo Project F. Cigna et al.
2. remotIO: A Sentinel-1 Multi-Temporal InSAR Infrastructure Monitoring Service with Automatic Updates and Data Mining Capabilities M. Bakon et al.
3. Neural Network Pattern Recognition Experiments Toward a Fully Automatic Detection of Anomalies in InSAR Time Series of Surface Deformation P. Milillo et al.
4. Hybrid deep learning for automated detection of spatiotemporal change points in InSAR time series: a case study on the Campi Flegrei volcano using a CNN–LSTM model S. Fakhri & M. Satari
5. Trend Change Point Detection in InSAR Derived Displacement Time Series Using MALkCNN: A Deep Learning Approach S. Arya Fakhri & M. Satari
6. Automated Time-Series InSAR Monitoring and Failure Prediction of Active Landslides: A Case Study of the Xinmo Landslide, China H. Li et al.
7. Innovative analysis and use of high‐resolution DTMs for quantitative interrogation of Earth‐surface processes P. Passalacqua et al.
8. The simulation of urban development with the consideration of ground deformation threats in Sidoarjo Regency, East Java Province of Indonesia A. Hadianti & B. Dewanto
9. Change in regional land subsidence in Beijing after south-to-north water diversion project observed using satellite radar interferometry M. Lyu et al.
10. Sentinel-1 Big Data Processing with P-SBAS InSAR in the Geohazards Exploitation Platform: An Experiment on Coastal Land Subsidence and Landslides in Italy F. Cigna & D. Tapete
11. The Role of Satellite InSAR for Landslide Forecasting: Limitations and Openings S. Moretto et al.
12. Review of Satellite Interferometry for Landslide Detection in Italy L. Solari et al.
13. 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.
14. Trend Classification of InSAR Displacement Time Series Using SAE–CNN M. Li et al.
15. Spaceborne, UAV and ground-based remote sensing techniques for landslide mapping, monitoring and early warning N. Casagli et al.
16. Persistent Scatterers continuous streaming for landslide monitoring and mapping: the case of the Tuscany region (Italy) F. Raspini et al.
17. A Multi-Temporal Small Baseline Interferometry Procedure Applied to Mining-Induced Deformation Monitoring R. Palamà et al.
18. PSI-based methodology to land subsidence mechanism recognition R. Bonì et al.
19. Unsupervised detection of InSAR time series patterns based on PCA and K-means clustering D. Festa et al.
20. Landslide prediction, monitoring and early warning: a concise review of state-of-the-art B. Chae et al.
21. Model-Free Characterization of SAR MTI Time Series A. Refice et al.
22. Classification of ground deformation using sentinel-1 persistent scatterer interferometry time series S. Mirmazloumi et al.
23. Multidisciplinary approach for the characterization of a deep-seated landslide in a semi-arid region (Cañón de Yerbabuena, San Luis Potosí, Mexico) C. Villaseñor-Reyes et al.
24. Ground Deformation in The Ciloto Landslides Area Revealed by Multi-Temporal InSAR N. Hayati et al.
25. On the Use of Interferometric Synthetic Aperture Radar Data for Monitoring and Forecasting Natural Hazards M. Bernardi et al.
26. SARClust—A New Tool to Analyze InSAR Displacement Time Series for Structure Monitoring D. Roque et al.
27. Recent advancements in multi-temporal methods applied to new generation SAR systems and applications in South America P. Euillades et al.
28. InterpolatiON of InSAR Time series for the dEtection of ground deforMatiOn eVEnts (ONtheMOVE): application to slow-moving landslides L. Pedretti et al.
29. Dam Deformation Monitoring using Cloud-Based P-SBAS Algorithm: The Kramis Dam Case (Algeria) K. Hasni et al.
30. 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.
31. The role of imaging radar in cultural heritage: From technologies to applications F. Chen et al.
32. Synergistic Use of Synthetic Aperture Radar Interferometry and Geomorphological Analysis in Slow-Moving Landslide Investigation in the Northern Apennines (Italy) C. Parenti et al.
33. Ground Movement Classification Using Statistical Tests Over Persistent Scatterer Interferometry Time Series S. Mirmazloumi et al.
34. The challenge to use multi-temporal InSAR for landslide early warning M. Schlögl et al.
35. A Clustering Approach for the Analysis of InSAR Time Series: Application to the Bandung Basin (Indonesia) M. Rygus et al.
36. Identification of Precursors in InSAR Time Series Using Functional Data Analysis Post-Processing: Demonstration on Mud Volcano Eruptions M. Fontana et al.
37. Advanced SAR Interferometric Analysis to Support Geomorphological Interpretation of Slow-Moving Coastal Landslides (Malta, Mediterranean Sea) M. Mantovani et al.
38. Identification of Landslide Precursors for Early Warning of Hazards with Remote Sensing K. Strząbała et al.
39. Semiautomatic analysis of EGMS InSAR data for geohazards detection: a study on Lazio Region (Italy) through ADATools C. Medici et al.
40. Unsupervised Clustering of InSAR Time-Series Deformation in Mandalay Region from 2022 to 2025 Using Dynamic Time Warping and Longest Common Subsequence J. Qin et al.
41. 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.
42. 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.
43. Copernicus Sentinel-1 MT-InSAR, GNSS and Seismic Monitoring of Deformation Patterns and Trends at the Methana Volcano, Greece T. Gatsios et al.
44. 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.
45. The contribution of satellite SAR-derived displacement measurements in landslide risk management practices F. Raspini et al.
46. 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.
47. Automatic Mapping of Potential Landslides Using Satellite Multitemporal Interferometry Y. Zhang et al.
48. Statistically-Based Trend Analysis of MTInSAR Displacement Time Series F. Bovenga et al.
49. Using advanced InSAR techniques to monitor landslide deformations induced by tunneling in the Northern Apennines, Italy B. Bayer et al.
50. Investigation of a Small Landslide in the Qinghai-Tibet Plateau by InSAR and Absolute Deformation Model J. Hao et al.
51. Automated identification of ground kinematic patterns based on InSAR time series displacement and K-SC clustering Y. Liang et al.
52. PSInSAR Analysis in the Pisa Urban Area (Italy): A Case Study of Subsidence Related to Stratigraphical Factors and Urbanization L. Solari et al.
53. A new method to detect changes in displacement rates of slow-moving landslides using InSAR time series A. Urgilez Vinueza et al.
54. 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
55. Tunnel-induced land subsidence assessment in a densely populated residential area using Sentinel-1 PS-InSAR A. Karunathilake et al.
56. Satellite InSAR survey of structurally-controlled land subsidence due to groundwater exploitation in the Aguascalientes Valley, Mexico F. Cigna & D. Tapete
57. Automatic landslide prioritization at regional scale through PS-InSAR cluster analysis and socio-economic impacts M. Zocchi et al.
58. Analysis of InSAR displacements for the slopes around Odelouca reservoir D. Roque et al.
59. Improving Ground Deformation Classification by Integrating InSAR Time Series With Geospatial Information Y. Dong et al.
60. Offline-Online Change Detection for Sentinel-1 InSAR Time Series E. Hussain et al.
61. Statistical and Independent Component Analysis of Sentinel-1 InSAR Time Series to Assess Land Subsidence Trends C. Farías et al.
62. 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.
63. Multi-Sensor Satellite Analysis for Landslide Characterization: A Case of Study from Baipaza, Tajikistan F. Poggi et al.
64. A Data Mining Approach for Multivariate Outlier Detection in Postprocessing of Multitemporal InSAR Results M. Bakon et al.
65. Exploring the InSAR Deformation Series Using Unsupervised Learning in a Built Environment M. Yang et al.
66. Site scale landslide deformation and strain analysis using MT-InSAR and GNSS approach – A case study V. Kumar Maurya et al.
67. Deformation responses of slow moving landslides to seasonal rainfall in the Northern Apennines, measured by InSAR B. Bayer et al.
68. PSDefoPAT—Persistent Scatterer Deformation Pattern Analysis Tool M. Evers et al.
69. Deformation Pattern Classification of Sea-Crossing Bridge InSAR Time Series Based on a Transfer Learning Framework L. Ren et al.
70. Monitoring reclaimed lands subsidence in Hong Kong with InSAR technique by persistent and distributed scatterers M. Wang et al.
71. Landslide detection, monitoring and prediction with remote-sensing techniques N. Casagli et al.
72. Continuous, semi-automatic monitoring of ground deformation using Sentinel-1 satellites F. Raspini et al.
73. Supervised Machine Learning Algorithms for Ground Motion Time Series Classification from InSAR Data S. Mirmazloumi et al.
74. Reactivation of an old landslide in north–central Iran following reservoir impoundment: Results from multisensor satellite time-series analysis M. Vassileva et al.
75. Rating health and stability of engineering structures via classification indexes of InSAR Persistent Scatterers F. Pratesi et al.
76. A Transfer Learning Approach for Deformation Pattern Recognition in InSAR Time Series M. Yang et al.
77. A User-Oriented Methodology for DInSAR Time Series Analysis and Interpretation: Landslides and Subsidence Case Studies D. Notti et al.
78. Methodology for Detection and Interpretation of Ground Motion Areas with the A-DInSAR Time Series Analysis R. Bonì et al.
79. A methodology for ground motion area detection (GMA-D) using A-DInSAR time series in landslide investigations M. Bordoni et al.
80. A Methodology to Detect and Characterize Uplift Phenomena in Urban Areas Using Sentinel-1 Data R. Bonì et al.
81. Present-day land subsidence rates, surface faulting hazard and risk in Mexico City with 2014–2020 Sentinel-1 IW InSAR F. Cigna & D. Tapete
82. A bridge-tailored multi-temporal DInSAR approach for remote exploration of deformation characteristics and mechanisms of complexly structured bridges X. Qin et al.
83. Ground motion baseline analysis of the Cheshire UK GeoEnergy Observatory A. Novellino et al.
84. Interactive Web Mapping Applications for 2D and 3D Geo-Visualization of Persistent Scatterer Interferometry SAR Data P. Kalaitzis et al.