Monitoring surface deformation with spaceborne radar interferometry in landslide complexes: insights from the Brienz/Brinzauls slope instability, Swiss Alps

This is a Preprint and has not been peer reviewed. This is version 1 of this Preprint.

Add a Comment

You must log in to post a comment.


Comments

There are no comments or no comments have been made public for this article.

Downloads

Download Preprint

Authors

Andrea Manconi, Nina Jones, Simon Loew, Tazio Strozzi, Rafael Caduff, Urs Wegmueller

Abstract

We performed an extensive analysis of C-Band SAR datasets provided by the European Space Agency (ESA) satellites ERS-1/2, Envisat ASAR, and Sentinel-1 in the period 1992-2020 aiming at reconstructing the multi-decadal spatial and temporal evolution of the surface displacements at the Brienz/Brinzauls landslide complex, located in canton Graubünden (Switzerland). To this end, we analyzed about 1’000 SAR images by applying differential interferometry (InSAR), multitemporal stacking, and Persistent Scatterer Interferometry (PSI) approaches. Moreover, we jointly considered Digital Image Correlation (DIC) on high resolution multi-temporal Digital Terrain Models (DTM) generated form airborne surveys and InSAR results to compute 3-D surface deformation fields. The extensive network of GNSS stations across the Brienz landslide complex allowed us to extensively validate the deformation results obtained in our remote sensing analyses. Here, we illustrate the limitations occurring when relying on InSAR and/or PSI measurements for the analysis and interpretation of complex landslide scenarios, especially in cases of relevant spatial and temporal heterogeneities of the deformation field. The joint use of InSAR and DIC can deliver a better picture of the evolution of the deformation field, however, not for all displacement components. Since InSAR, PSI and DIC measurements are nowadays routinely used in the framework of local investigations, as well as in regional, national and/or continental monitoring programs, our results are of major importance for users aiming at a comprehensive understanding of these datasets in landslide scenarios.

DOI

https://doi.org/10.31223/X5PQ30

Subjects

Earth Sciences

Keywords

Landslide, InSAR, Monitoring, Surface deformation, Swiss Alps

Dates

Published: 2023-10-05 04:11

Last Updated: 2023-10-05 11:11

License

No Creative Commons license

Additional Metadata

Conflict of interest statement:
No conflict of interest