Articles | Volume 26, issue 2
https://doi.org/10.5194/nhess-26-863-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-26-863-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Beyond and beneath displacement time series: towards InSAR-based early warnings and deformation analysis of the Achoma landslide, Peru
School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, UK
formerly at: ISTerre, Université Grenoble-Alpes, Grenoble, France
Pascal Lacroix
ISTerre, Université Grenoble-Alpes, Grenoble, France
Marie-Pierre Doin
ISTerre, Université Grenoble-Alpes, Grenoble, France
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Short summary
Landslides can occur without warning. Traditional satellite radar (InSAR) methods are valuable but have limitations. We show that lesser-used radar signals can act as early warning markers, revealing instability up to five years before failure in a Peruvian landslide, even when standard methods fail or underestimate displacement. These alternative radar approaches complement existing techniques and could transform early detection and targeted monitoring across large regions.
Landslides can occur without warning. Traditional satellite radar (InSAR) methods are valuable...
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