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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Cited articles

Atzeni, C., Barla, M., Pieraccini, M., and Antolini, F.: Early warning monitoring of natural and engineered slopes with ground-based synthetic-aperture radar, Rock Mech. Rock Eng., 48, 235–246, https://doi.org/10.1007/s00603-014-0554-4, 2015. 
Benoit, L., Briole, P., Martin, O., and Thom, C.: Real-time deformation monitoring by a wireless network of a low-cost GPS, J. Appl. Geodesy, 8, 119–128, 2014. 
Benoit, L., Briole, P., Martin, O., Thom, C., Malet, J. P., and Ulrich, P.: Monitoring landslide displacements with the Geocube wireless network of low-cost GPS, Eng. Geol., 195, 111–121, 2015. 
BGC Engineering Inc.: CN Lillooet Sub. M. 167.7 (Fountain Slide) September 2015 Drilling and Instrumentation, Project report to Canadian National Railway, 2015. 
BGC Engineering Inc.: CN Lillooet Sub. M. 167.7 (Ten Mile Slide) April 2016 Drilling and Instrumentation, Project report to Canadian National Railway, 2016. 
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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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