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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31 citations as recorded by crossref.
- Investigating the kinematics of the unstable slope of Barberà de la Conca (Catalonia, Spain) and the effects on the exposed facilities by GBSAR and multi-source conventional monitoring D. Peduto et al. 10.1007/s10346-020-01500-9
- Preface: Landslide–transport network interactions F. Taylor et al. 10.5194/nhess-20-2585-2020
- Deformation and stability analysis of the ancient Da’ao landslide revealed by InSAR and model simulation J. Zhang et al. 10.1007/s10346-023-02181-w
- Potentialities and limitations of thermography to assess landslide risk R. Morello 10.1016/j.measurement.2017.11.045
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- Geodetic and Remote-Sensing Sensors for Dam Deformation Monitoring M. Scaioni et al. 10.3390/s18113682
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- 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
- Landslide detection, monitoring and prediction with remote-sensing techniques N. Casagli et al. 10.1038/s43017-022-00373-x
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- 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
- The Role of Small Format Aerial Photographs for First Response in Landslide Event F. Ulfa & J. Sartohadi 10.1088/1755-1315/338/1/012026
- Resolution and Precision of Fast Long-Range Terrestrial Photogrammetric Surveying Aimed at Detecting Slope Changes A. Pesci et al. 10.1061/(ASCE)SU.1943-5428.0000328
- The catastrophic landside in Maoxian County, Sichuan, SW China, on June 24, 2017 J. Qiu et al. 10.1007/s11069-017-3026-9
- Electrical resistivity imaging for the characterization of the Montaguto landslide (southern Italy) J. Bellanova et al. 10.1016/j.enggeo.2018.07.014
- Empirical SNR-based model of the displacement accuracy for ground-based radar measurements P. Kuras et al. 10.1016/j.isprsjprs.2022.10.010
- Automatic discontinuity identification and quantitative monitoring of unstable blocks using terrestrial laser scanning in large landslide during emergency disposal J. Zhou et al. 10.1007/s10346-023-02169-6
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- Sinkhole risk mapping and early warning: the case of Camaiore (Italy) E. Intrieri et al. 10.3389/feart.2023.1172727
- The geodetic detection of the variable load impact on the earth-filled structure P. Kuras et al. 10.1007/s12518-020-00324-5
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- Simulate landslide activities during flood season 2020 - 2021 in Phong Nha - Ke Bang National Park T. Do et al. 10.1088/1757-899X/1289/1/012023
4 citations as recorded by crossref.
- Ground-Based Differential Interferometry SAR: A Review Y. Wang et al. 10.1109/MGRS.2019.2963169
- Assessment of post-failure evolution of a large earthflow through field monitoring and numerical modelling P. Lollino et al. 10.1007/s10346-020-01415-5
- Assessment of the behavior of an active earth-slide by means of calibration between numerical analysis and field monitoring P. Lollino et al. 10.1007/s10064-016-0953-8
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Latest update: 25 Apr 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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