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.
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.
the Creative Commons Attribution 4.0 License.
Research article
| 
07 Oct 2026
Research article |
| 07 Oct 2026
| 07 Oct 2026
Challenges in reconstructing seasonally driven landslide motion from optical satellite data: insights from the Del Medio catchment, NW Argentina
Institute of Geosciences, University of Potsdam, Karl-Liebknecht-Str. 24–25, 14476 Potsdam-Golm, Germany
Laurane Charrier
Univ. Grenoble Alpes, CNRS, IRD, INRAE, Grenoble-INP, Institut des Géosciences de l'Environnement (IGE, UMR 5001), 38000 Grenoble, France
Univ. Grenoble Alpes, CNRS, Inria, Grenoble INP (Institute of Engineering Univ. Grenoble Alpes), LJK, 38000 Grenoble, France
Meteo-France, CNRS, Univ. Grenoble Alpes, Univ. Toulouse, CNRM, Centre d'Etudes de la Neige, 38000 Grenoble, France
Bodo Bookhagen
Institute of Geosciences, University of Potsdam, Karl-Liebknecht-Str. 24–25, 14476 Potsdam-Golm, Germany
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This study investigates the use of optical PlanetScope data for offset tracking of the Earth's surface movement. We found that co-registration accuracy is locally degraded when outdated elevation models are used for orthorectification. To mitigate this bias, we propose to only correlate scenes acquired from common perspectives or base orthorectification on more up-to-date elevation models generated from PlanetScope data alone. This enables a more detailed analysis of landslide dynamics.
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This preprint is open for discussion and under review for The Cryosphere (TC).
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Laurane Charrier, Amaury Dehecq, Lei Guo, Fanny Brun, Romain Millan, Nathan Lioret, Luke Copland, Nathan Maier, Christine Dow, and Paul Halas
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Ariane Mueting and Bodo Bookhagen
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This study investigates the use of optical PlanetScope data for offset tracking of the Earth's surface movement. We found that co-registration accuracy is locally degraded when outdated elevation models are used for orthorectification. To mitigate this bias, we propose to only correlate scenes acquired from common perspectives or base orthorectification on more up-to-date elevation models generated from PlanetScope data alone. This enables a more detailed analysis of landslide dynamics.
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Avalanches are important for the mass balance of mountain glaciers, but few data exist on where and when they occur and which glaciers they affect the most. We developed an approach to map avalanches over large glaciated areas and long periods of time using satellite radar data. The application of this method to various regions in the Alps and High Mountain Asia reveals the variability of avalanches on these glaciers and provides key data to better represent these processes in glacier models.
L. Charrier, T. di Martino, E. Colin Koeniguer, F. Weissgerber, and A. Plyer
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 1309–1316, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-1309-2022, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-1309-2022, 2022
L. Charrier, Y. Yan, E. Colin Koeniguer, J. Mouginot, R. Millan, and E. Trouvé
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Xue, C., Chen, K., Tang, H., and Liu, P.: Heavy rainfall drives slow-moving landslide in Mazhe Village, Enshi to a catastrophic collapse on 21 July 2020, Landslides, 19, 177–186, https://doi.org/10.1007/s10346-021-01782-7, 2022. a
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.
Slow-moving landslides respond to seasonal climate variations, but displacement time series from...
