Articles | Volume 22, issue 2
https://doi.org/10.5194/nhess-22-411-2022
https://doi.org/10.5194/nhess-22-411-2022
Research article
 | 
14 Feb 2022
Research article |  | 14 Feb 2022

Evaluation of filtering methods for use on high-frequency measurements of landslide displacements

Sohrab Sharifi, Michael T. Hendry, Renato Macciotta, and Trevor Evans

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Latest update: 17 Jul 2024
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Short summary
This study is devoted to comparing the effectiveness of three different filters for noise reduction of instruments. It was observed that the Savitzky–Golay and Gaussian-weighted moving average filters outperform the simple moving average. Application of these two filters in real-time landslide monitoring leads to timely detection of acceleration moment and better preservation of information regarding displacement and velocity.
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