Articles | Volume 13, issue 4
https://doi.org/10.5194/nhess-13-923-2013
© 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-13-923-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
17 Apr 2013
Research article |
| 17 Apr 2013
Interferometric SAR monitoring of the Vallcebre landslide (Spain) using corner reflectors
M. Crosetto
Institute of Geomatics, Parc Mediterrani de la Tecnologia, Av. Gauss 11, 08860, Castelldefels, Barcelona, Spain
J. A. Gili
Department of Geotechnical Engineering and Geosciences, Technical University of Catalonia (UPC), C/ Jordi Girona 1–3, D-2 Building, 08034, Barcelona, Spain
O. Monserrat
Institute of Geomatics, Parc Mediterrani de la Tecnologia, Av. Gauss 11, 08860, Castelldefels, Barcelona, Spain
M. Cuevas-González
Institute of Geomatics, Parc Mediterrani de la Tecnologia, Av. Gauss 11, 08860, Castelldefels, Barcelona, Spain
J. Corominas
Department of Geotechnical Engineering and Geosciences, Technical University of Catalonia (UPC), C/ Jordi Girona 1–3, D-2 Building, 08034, Barcelona, Spain
D. Serral
Department of Geotechnical Engineering and Geosciences, Technical University of Catalonia (UPC), C/ Jordi Girona 1–3, D-2 Building, 08034, Barcelona, Spain
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Landslides and ground deformation associated with the construction of a hydropower mega dam in the Santa Cruz River in Argentine Patagonia have been monitored using radar and optical satellite data, together with the analysis of technical reports. This allowed us to assess the integrity of the construction, providing a new and independent dataset. We have been able to identify ground deformation trends that put the construction works at risk.
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M. Crosetto, O. Monserrat, A. Barra, M. Cuevas-González, V. Krishnakumar, M. Mróz, and B. Crippa
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1921–1926, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1921-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1921-2019, 2019
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Nat. Hazards Earth Syst. Sci., 19, 399–419, https://doi.org/10.5194/nhess-19-399-2019, https://doi.org/10.5194/nhess-19-399-2019, 2019
Short summary
Short summary
A methodology is proposed for the quantitative risk assessment of roadways subjected to rockfalls, retaining wall failures, and slow moving landslides. It includes the calculation of the probability of occurrence of each hazard with a given level, based on an extensive collection of field data, and its association with the consequences. The latter was assessed considering the road damage repair cost for each level in terms of a fixed unit cost.
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V. Krishnakumar, O. Monserrat, M. Crosetto, and B. Crippa
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 741–744, https://doi.org/10.5194/isprs-archives-XLII-3-741-2018, https://doi.org/10.5194/isprs-archives-XLII-3-741-2018, 2018
O. Monserrat, A. Barra, G. Herrera, S. Bianchini, C. Lopez, R. Onori, P. Reichenbach, R. Sarro, R. M. Mateos, L. Solari, S. Ligüérzana, and I. P. Carralero
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W4, 351–355, https://doi.org/10.5194/isprs-archives-XLII-3-W4-351-2018, https://doi.org/10.5194/isprs-archives-XLII-3-W4-351-2018, 2018
Q. Huang, M. Crosetto, O. Monserrat, and B. Crippa
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 457–463, https://doi.org/10.5194/isprs-annals-IV-2-W4-457-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-457-2017, 2017
M. Crosetto, O. Monserrat, G. Luzi, N. Devanthéry, M. Cuevas-González, and A. Barra
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 593–596, https://doi.org/10.5194/isprs-archives-XLII-2-W7-593-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-593-2017, 2017
M. Crosetto, O. Monserrat, N. Devanthéry, M. Cuevas-González, A. Barra, and B. Crippa
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 597–600, https://doi.org/10.5194/isprs-archives-XLII-2-W7-597-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-597-2017, 2017
Marco Mulas, Jordi Corominas, Alessandro Corsini, and Jose Moya
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2016-253, https://doi.org/10.5194/nhess-2016-253, 2016
Manuscript not accepted for further review
Short summary
Short summary
In this work, the Cross-Correlation Function is used in order to quantitatively investigate the time-lagged correlation between high frequency monitoring data on rainfall, piezometric and displacement with the objective to evidence hydro-mechanical processes in the Vallcebre landslide (Eastern Pyrenees, Spain). The analysis highlighted and constrained in time a dual triggering mechanism in which factors controlling movement change from the upper to the lower part of the landslide.
M. Crosetto, O. Monserrat, N. Devanthéry, M. Cuevas-González, A. Barra, and B. Crippa
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 835–839, https://doi.org/10.5194/isprs-archives-XLI-B7-835-2016, https://doi.org/10.5194/isprs-archives-XLI-B7-835-2016, 2016
M. Crosetto, N. Devanthéry, M. Cuevas-González, O. Monserrat, and B. Crippa
Proc. IAHS, 372, 311–314, https://doi.org/10.5194/piahs-372-311-2015, https://doi.org/10.5194/piahs-372-311-2015, 2015
Short summary
Short summary
Persistent Scatterer Interferometry (PSI) is a remote sensing technique used to monitor land deformation from interferometric SAR images. The main products that can be derived using the PSI technique are the deformation maps and the time series of deformation. In this paper, an approach to apply the PSI technique to a stack of Sentinel-1 images is described. Sentinel-1 deformation maps and time series obtained over the metropolitan area of Mexico DF are discussed.
O. Monserrat, J. Moya, G. Luzi, M. Crosetto, J. A. Gili, and J. Corominas
Nat. Hazards Earth Syst. Sci., 13, 1873–1887, https://doi.org/10.5194/nhess-13-1873-2013, https://doi.org/10.5194/nhess-13-1873-2013, 2013
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