41 citations as recorded by crossref.

1. Geohazards Monitoring in Roma from InSAR and In Situ Data: Outcomes of the PanGeo Project V. Comerci et al. https://doi.org/10.1007/s00024-015-1066-1
2. A Risk Monitoring Method for Urban Buildings Based on Structural Differential Settlement Index Using InSAR Technology S. Li et al. https://doi.org/10.1155/stc/9967716
3. Mapping Vulnerable Urban Areas Affected by Slow-Moving Landslides Using Sentinel-1 InSAR Data M. Béjar-Pizarro et al. https://doi.org/10.3390/rs9090876
4. Building risk monitoring and prediction using integrated multi-temporal InSAR and numerical modeling techniques P. Ma et al. https://doi.org/10.1016/j.jag.2022.103076
5. DInSAR Multi-Temporal Analysis for the Characterization of Ground Deformations Related to Tectonic Processes in the Region of Bucaramanga, Colombia J. Valencia Ortiz et al. https://doi.org/10.3390/rs16030449
6. DInSAR data assimilation for settlement prediction: case study of a railway embankment in the Netherlands D. Peduto et al. https://doi.org/10.1139/cgj-2016-0425
7. Quantitative analysis of consequences to masonry buildings interacting with slow-moving landslide mechanisms: a case study D. Peduto et al. https://doi.org/10.1007/s10346-018-1014-0
8. Transport Infrastructure SHM Using Integrated SAR Data and On-Site Vibrational Acquisitions: “Ponte Della Musica–Armando Trovajoli” Case Study F. Ponzo et al. https://doi.org/10.3390/app11146504
9. Satellite InSAR survey of structurally-controlled land subsidence due to groundwater exploitation in the Aguascalientes Valley, Mexico F. Cigna & D. Tapete https://doi.org/10.1016/j.rse.2020.112254
10. A general framework and related procedures for multiscale analyses of DInSAR data in subsiding urban areas D. Peduto et al. https://doi.org/10.1016/j.isprsjprs.2015.04.001
11. Monitoring Buildings at Landslide Risk With SAR: A Methodology Based on the Use of Multipass Interferometric Data C. Noviello et al. https://doi.org/10.1109/MGRS.2019.2963140
12. The combined use of PSInSAR and UAV photogrammetry techniques for the analysis of the kinematics of a coastal landslide affecting an urban area (SE Spain) R. Mateos et al. https://doi.org/10.1007/s10346-016-0723-5
13. Subsidence in Como historic centre (northern Italy): Assessment of building vulnerability combining hydrogeological and stratigraphic features, Cosmo-SkyMed InSAR and damage data N. Nappo et al. https://doi.org/10.1016/j.ijdrr.2021.102115
14. Comparison of water-level, extensometric, DInSAR and simulation data for quantification of subsidence in Murcia City (SE Spain) S. Tessitore et al. https://doi.org/10.1007/s10040-015-1349-8
15. Stabilization Methodology in Foundation Soils by ERT-3D Application in Estepona, South Spain A. Gutiérrez-Martín et al. https://doi.org/10.3390/app11104455
16. Present-day land subsidence risk in the metropolitan cities of Italy F. Cigna et al. https://doi.org/10.1038/s41598-025-18941-8
17. Landslide detection integrated system (LaDIS) based on in-situ and satellite SAR interferometry measurements D. Di Martire et al. https://doi.org/10.1016/j.catena.2015.10.002
18. Multi-scale analysis of settlement-induced building damage using damage surveys and DInSAR data: A case study in The Netherlands D. Peduto et al. https://doi.org/10.1016/j.enggeo.2016.12.018
19. Sentinel-1 Data Processing for Detecting and Monitoring of Ground Instabilities in the Rocky Coast of Central Asturias (N Spain) J. Cuervas-Mons et al. https://doi.org/10.3390/rs13163076
20. Combination of Conventional and Advanced DInSAR to Monitor Very Fast Mining Subsidence with TerraSAR-X Data: Bytom City (Poland) M. Przyłucka et al. https://doi.org/10.3390/rs70505300
21. Characteristics of the Residual Surface Deformation of Multiple Abandoned Mined-Out Areas Based on a Field Investigation and SBAS-InSAR: A Case Study in Jilin, China D. Chen et al. https://doi.org/10.3390/rs12223752
22. A-Differential Synthetic Aperture Radar Interferometry analysis of a Deep Seated Gravitational Slope Deformation occurring at Bisaccia (Italy) D. Di Martire et al. https://doi.org/10.1016/j.scitotenv.2016.01.102
23. Ground Subsidence Triggered by the Overexploitation of Aquifers Affecting Urban Sites: The Case of Athens Coastal Zone along Faliro Bay (Greece) A. Kaitantzian et al. https://doi.org/10.1155/2020/8896907
24. Hierarchical Clustering and Small Baseline Subset Differential Interferometric Synthetic Aperture Radar (SBAS-DInSAR) for Remotely Sensed Building Identification and Risk Prioritisation Y. Hamzaoui et al. https://doi.org/10.3390/rs17010128
25. Regional subsidence modelling in Murcia city (SE Spain) using 1-D vertical finite element analysis and 2-D interpolation of ground surface displacements S. Tessitore et al. https://doi.org/10.5194/piahs-372-425-2015
26. Differential settlements affecting transition zones between bridges and road embankments on soft soils: Numerical analysis of maintenance scenarios by multi-source monitoring data assimilation D. Peduto et al. https://doi.org/10.1016/j.trgeo.2020.100369
27. A new approach for landslide-induced damage assessment M. Del Soldato et al. https://doi.org/10.1080/19475705.2017.1347896
28. Review of satellite radar interferometry for subsidence analysis F. Raspini et al. https://doi.org/10.1016/j.earscirev.2022.104239
29. Prediction of Mine Subsidence Based on InSAR Technology and the LSTM Algorithm: A Case Study of the Shigouyi Coalfield, Ningxia (China) F. Ma et al. https://doi.org/10.3390/rs15112755
30. We lose ground: Global assessment of land subsidence impact extent A. Dinar et al. https://doi.org/10.1016/j.scitotenv.2021.147415
31. Probabilistic analysis of settlement-induced damage to bridges in the city of Amsterdam (The Netherlands) D. Peduto et al. https://doi.org/10.1016/j.trgeo.2018.01.002
32. Detection of Building and Infrastructure Instabilities by Automatic Spatiotemporal Analysis of Satellite SAR Interferometry Measurements M. Zhu et al. https://doi.org/10.3390/rs10111816
33. Building Deformation Assessment by Means of Persistent Scatterer Interferometry Analysis on a Landslide-Affected Area: The Volterra (Italy) Case Study S. Bianchini et al. https://doi.org/10.3390/rs70404678
34. On the joint exploitation of long-term DInSAR time series and geological information for the investigation of ground settlements in the town of Roma (Italy) S. Scifoni et al. https://doi.org/10.1016/j.rse.2016.04.017
35. A Procedure to Map Subsidence at the Regional Scale Using the Persistent Scatterer Interferometry (PSI) Technique A. Rosi et al. https://doi.org/10.3390/rs61110510
36. Multi-Component and Multi-Source Approach for Studying Land Subsidence in Deltas E. Vitagliano et al. https://doi.org/10.3390/rs12091465
37. Earthquake-induced landslide monitoring and survey by means of InSAR T. Smail et al. https://doi.org/10.5194/nhess-22-1609-2022
38. Multi-Decadal Land Subsidence Risk Assessment at Major Italian Cities by Integrating PSInSAR with Urban Vulnerability M. Lenardón Sánchez et al. https://doi.org/10.3390/land13122103
39. Deformational behaviours of alluvial units detected by advanced radar interferometry in the vega media of the segura river, southeast spain C. Conesa‐garcía et al. https://doi.org/10.1111/geoa.12121
40. Empirical fragility and vulnerability curves for buildings exposed to slow-moving landslides at medium and large scales D. Peduto et al. https://doi.org/10.1007/s10346-017-0826-7
41. Present-day land subsidence rates, surface faulting hazard and risk in Mexico City with 2014–2020 Sentinel-1 IW InSAR F. Cigna & D. Tapete https://doi.org/10.1016/j.rse.2020.112161