Articles | Volume 17, issue 6
https://doi.org/10.5194/nhess-17-845-2017
© Author(s) 2017. 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-17-845-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
09 Jun 2017
Research article |
| 09 Jun 2017
GB-InSAR monitoring and observational method for landslide emergency management: the Montaguto earthflow (AV, Italy)
Federica Ferrigno
CORRESPONDING AUTHOR
Department of Earth Sciences, University of Florence, Via La Pira 4,
Florence, Italy
Giovanni Gigli
Department of Earth Sciences, University of Florence, Via La Pira 4,
Florence, Italy
Riccardo Fanti
Department of Earth Sciences, University of Florence, Via La Pira 4,
Florence, Italy
Emanuele Intrieri
Department of Earth Sciences, University of Florence, Via La Pira 4,
Florence, Italy
Nicola Casagli
Department of Earth Sciences, University of Florence, Via La Pira 4,
Florence, Italy
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32 citations as recorded by crossref.
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- Preface: Landslide–transport network interactions F. Taylor et al. 10.5194/nhess-20-2585-2020
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- Potentialities and limitations of thermography to assess landslide risk R. Morello 10.1016/j.measurement.2017.11.045
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- A Novel Near-Real-Time GB-InSAR Slope Deformation Monitoring Method Y. Su et al. 10.3390/rs14215585
- Long-Term and Emergency Monitoring of Zhongbao Landslide Using Space-Borne and Ground-Based InSAR T. Xiao et al. 10.3390/rs13081578
- Scale‐oriented landslide monitoring and early warning system for uranium legacy complexes in Mailuu Suu, Kyrgyzstan M. Keuschnig et al. 10.1002/geot.202000048
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- Investigation on Surface Tilting in the Failure Process of Shallow Landslides S. Qiao et al. 10.3390/s20092662
- Landslide evolution assessment based on InSAR and real-time monitoring of a large reactivated landslide, Wenchuan, China M. Xie et al. 10.1016/j.enggeo.2020.105781
- Integration of ground-based and space-borne radar observations for three-dimensional deformations reconstruction: application to Luanchuan mining area, China Z. Wang et al. 10.1080/19475705.2022.2134828
- Efficient probabilistic back analysis of spatially varying soil parameters based on monitored displacements Y. Liu et al. 10.1007/s12517-022-10036-2
- Research on crack monitoring at the trailing edge of landslides based on image processing H. Wang et al. 10.1007/s10346-019-01335-z
- The Contribution of Digital Image Correlation for the Knowledge, Control and Emergency Monitoring of Earth Flows D. Mazza et al. 10.3390/geosciences13120364
- Assessment of long-term structural movements in a historic cliffside construction through Lomb-Scargle spectral analysis of unevenly spaced time records: the Punta Begoña Galleries (Getxo, Spain) J. Uriarte et al. 10.1007/s10064-022-02990-8
- Efficient ArcSAR Focusing in the Wavenumber Domain Y. Zhang et al. 10.1109/TGRS.2021.3079994
- Detection of slow‐moving landslides through automated monitoring of surface deformation using Sentinel‐2 satellite imagery M. Van Wyk de Vries et al. 10.1002/esp.5775
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- The catastrophic landside in Maoxian County, Sichuan, SW China, on June 24, 2017 J. Qiu et al. 10.1007/s11069-017-3026-9
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- Sinkhole risk mapping and early warning: the case of Camaiore (Italy) E. Intrieri et al. 10.3389/feart.2023.1172727
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Latest update: 26 Dec 2024
Short summary
This paper represents one of the main outcomes of a 3-year PhD program at the Earth Sciences Department of the University of Firenze (Centre of Competence of the Italian Civil Protection for geohazards). The main objectives of this paper were to investigate the landslide kinematics through the monitoring activity using GB-InSAR technology and to validate the stabilization works effectiveness using the coupled action of the GB-InSAR and the observational method (OM).
This paper represents one of the main outcomes of a 3-year PhD program at the Earth Sciences...
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