Articles | Volume 26, issue 3
https://doi.org/10.5194/nhess-26-1621-2026
https://doi.org/10.5194/nhess-26-1621-2026
Research article
 | 
01 Apr 2026
Research article |  | 01 Apr 2026

Reconstruction and forecasting of slow-moving landslide displacement using a Kalman Filter approach

Mohit Mishra, Gildas Besançon, Guillaume Chambon, and Laurent Baillet

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Latest update: 09 Sep 2026
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Short summary
This work was initiated in the context of a large interdisciplinary research project about Risk at Grenoble University, France. It relates to the challenging topic of landslide monitoring, and combines geotechnical sciences with techniques from control system engineering. Considering a specific modelling approach, the study provides a methodology towards estimation of some landslide parameters and their use in motion prediction. This could then be extended to the design of alert systems.
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