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

Viewed

Total article views: 2,334 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,487 771 76 2,334 63 66
  • HTML: 1,487
  • PDF: 771
  • XML: 76
  • Total: 2,334
  • BibTeX: 63
  • EndNote: 66
Views and downloads (calculated since 24 Aug 2021)
Cumulative views and downloads (calculated since 24 Aug 2021)

Viewed (geographical distribution)

Total article views: 2,334 (including HTML, PDF, and XML) Thereof 2,211 with geography defined and 123 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 26 Jun 2025
Download
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.
Share
Altmetrics
Final-revised paper
Preprint