Large slope deformations detection and monitoring along shores of the Potrerillos dam reservoir, Argentina, based on a small-baseline InSAR approach

Details

Serval ID
serval:BIB_D325C2E367CE
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Large slope deformations detection and monitoring along shores of the Potrerillos dam reservoir, Argentina, based on a small-baseline InSAR approach
Journal
Landslides
Author(s)
Michoud C., Baumann V., Lauknes T.R., Penna I., Derron M.-H., Jaboyedoff M.
ISSN
1612-510X
ISSN-L
1612-5118
Publication state
Published
Issued date
2015
Peer-reviewed
Oui
Pages
1-15
Language
english
Abstract
The Argentina National Road 7 that crosses the Andes Cordillera within the Mendoza province to connect Santiago de Chile and Buenos Aires is particularly affected by natural hazards requiring risk management. Integrated in a research plan that intends to produce landslide susceptibility maps, we aimed in this study to detect large slope movements by applying a satellite radar interferometric analysis using Envisat data, acquired between 2005 and 2010. We were finally able to identify two large slope deformations in sandstone and clay deposits along gentle shores of the Potrerillos dam reservoir, with cumulated displacements higher than 25mm in 5years and towards the reservoir. There is also a body of evidences that these large slope deformations are actually influenced by the seasonal reservoir level variations. This study shows that very detailed information, such as surface displacements and above all water level variation, can be extracted from spaceborne remote sensing techniques; nevertheless, the limitations of InSAR for the present dataset are discussed here. Such analysis can then lead to further field investigations to understand more precisely the destabilising processes acting on these slope deformations.
Keywords
Slope deformations, Detection, Monitoring, InSAR, Small baseline, Dam reservoir, Argentina
Create date
19/04/2016 21:39
Last modification date
20/08/2019 16:53
Usage data