Articles | Volume 13, issue 8
https://doi.org/10.5194/nhess-13-1945-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-13-1945-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Automated classification of Persistent Scatterers Interferometry time series
M. Berti
Dipartimento di Scienze Biologiche, Geologiche e Ambientali, Università di Bologna – Via Zamboni 67, 40127 Bologna, Italy
A. Corsini
Dipartimento di Scienze Chimiche e Geologiche, Università di Modena e Reggio Emilia – Largo S. Eufemia 19, 41121 Modena, Italy
S. Franceschini
Dipartimento di Scienze Biologiche, Geologiche e Ambientali, Università di Bologna – Via Zamboni 67, 40127 Bologna, Italy
J. P. Iannacone
Dipartimento di Scienze Chimiche e Geologiche, Università di Modena e Reggio Emilia – Largo S. Eufemia 19, 41121 Modena, Italy
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75 citations as recorded by crossref.
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- The Role of Satellite InSAR for Landslide Forecasting: Limitations and Openings S. Moretto et al. 10.3390/rs13183735
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74 citations as recorded by crossref.
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- Neural Network Pattern Recognition Experiments Toward a Fully Automatic Detection of Anomalies in InSAR Time Series of Surface Deformation P. Milillo et al. 10.3389/feart.2021.728643
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- 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. 10.1007/s10346-020-01497-1
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- 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
- 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
- Dam Deformation Monitoring using Cloud-Based P-SBAS Algorithm: The Kramis Dam Case (Algeria) K. Hasni et al. 10.48084/etasr.5857
- 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
- The role of imaging radar in cultural heritage: From technologies to applications F. Chen et al. 10.1016/j.jag.2022.102907
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- Ground Movement Classification Using Statistical Tests Over Persistent Scatterer Interferometry Time Series S. Mirmazloumi et al. 10.1016/j.procs.2021.11.068
- The challenge to use multi-temporal InSAR for landslide early warning M. Schlögl et al. 10.1007/s11069-022-05289-9
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- 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
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- A Data Mining Approach for Multivariate Outlier Detection in Postprocessing of Multitemporal InSAR Results M. Bakon et al. 10.1109/JSTARS.2017.2686646
- Exploring the InSAR Deformation Series Using Unsupervised Learning in a Built Environment M. Yang et al. 10.3390/rs16081375
- 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
- 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
- PSDefoPAT—Persistent Scatterer Deformation Pattern Analysis Tool M. Evers et al. 10.3390/rs15194646
- 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
- Landslide detection, monitoring and prediction with remote-sensing techniques N. Casagli et al. 10.1038/s43017-022-00373-x
- Continuous, semi-automatic monitoring of ground deformation using Sentinel-1 satellites F. Raspini et al. 10.1038/s41598-018-25369-w
- Supervised Machine Learning Algorithms for Ground Motion Time Series Classification from InSAR Data S. Mirmazloumi et al. 10.3390/rs14153821
- 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
- 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
- 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
- Methodology for Detection and Interpretation of Ground Motion Areas with the A-DInSAR Time Series Analysis R. Bonì et al. 10.3390/rs8080686
- 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
- A Methodology to Detect and Characterize Uplift Phenomena in Urban Areas Using Sentinel-1 Data R. Bonì et al. 10.3390/rs10040607
- 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
- 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
- Ground motion baseline analysis of the Cheshire UK GeoEnergy Observatory A. Novellino et al. 10.1038/s41598-021-95191-4
- Interactive Web Mapping Applications for 2D and 3D Geo-Visualization of Persistent Scatterer Interferometry SAR Data P. Kalaitzis et al. 10.3390/ijgi12020054
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