Challenges in reconstructing seasonally driven landslide motion from optical satellite data: insights from the Del Medio catchment, NW Argentina

Mueting, Ariane; Charrier, Laurane; Bookhagen, Bodo

doi:10.5194/esurf-14-781-2026

Articles | Volume 14, issue 5

https://doi.org/10.5194/esurf-14-781-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/esurf-14-781-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 5

Research article

|

07 Oct 2026

Research article |

| 07 Oct 2026

Challenges in reconstructing seasonally driven landslide motion from optical satellite data: insights from the Del Medio catchment, NW Argentina

Ariane Mueting, Laurane Charrier, and Bodo Bookhagen

Supplement

https://doi.org/10.5194/esurf-14-781-2026-supplement

Model code and software

UP-RS-ESP/timeseries_inversion: v0.1.0 (Version v0.1.0) Ariane Mueting et al. https://doi.org/10.5281/zenodo.22757225

Short summary

Slow-moving landslides respond to seasonal climate variations, but displacement time series from optical satellite imagery often contain illumination and shadow related biases that obscure true signals. This study assesses methods to mitigate these errors and reveals kinematic changes and controlling factors of a large slow-moving landslide in the Argentinean Andes.