Preprints
https://doi.org/10.5194/egusphere-2026-5055
https://doi.org/10.5194/egusphere-2026-5055
25 Sep 2026
 | 25 Sep 2026
Status: this preprint is open for discussion and under review for Earth Observation (EO).

3D surface displacements from digital image correlation on terrain models

Nicolas Oestreicher, Florian Denzinger, and Andrea Manconi

Abstract. We present a methodology to retrieve 3D surface displacement based on Digital Image Correlation (DIC) applied
to multitemporal terrain models. Our approach has been developed to overcome the DIC limitation in the vertical component
of the displacement field when horizontal shifts are larger than the grid sampling. To validate the performance, we applied
the approach to two terrain models acquired over the Brienz/Brinzauls landslide, where surface displacements affect the entire
slope with heterogeneous amplitudes and directions. The comparison with in-situ measurements shows that DIC can accurately
retrieve horizontal and vertical displacements, providing a clear representation of the spatial extent of the mass movement, as
well as an accurate distinction of the internal landslide compartments. Our results are in good agreement with those obtained
using a state-of-the-art point correlation method, but require less preprocessing and computational effort. Thus, the proposed
DIC strategy can be considered as a valid alternative for measuring 3D surface displacements in scenarios where multitemporal
terrain models are available.

Competing interests: At least one of the (co-)authors is a member of the editorial board of Earth Observation.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
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Nicolas Oestreicher, Florian Denzinger, and Andrea Manconi

Status: open (until 06 Nov 2026)

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Nicolas Oestreicher, Florian Denzinger, and Andrea Manconi
Nicolas Oestreicher, Florian Denzinger, and Andrea Manconi

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Short summary
This study introduces a more accurate way to track ground movements caused by landslides. Understanding how the ground moves is crucial for predicting and managing landslide hazard. We developed a digital image correlation technique that corrects distortions in vertical measurements by accounting for horizontal shifts. We tested this method at a well-monitored landslide site in Switzerland, Brienz/Brinzauls, and compared it with another advanced technique, showing similarly accurate results.
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