Articles | Volume 22, issue 2
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


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on nhess-2021-212', Ugur Öztürk, 11 Oct 2021
    • AC1: 'Reply on RC1', Sohrab Sharifi, 15 Dec 2021
  • RC2: 'Comment on nhess-2021-212', Anonymous Referee #2, 02 Dec 2021
    • AC2: 'Reply on RC2', Sohrab Sharifi, 15 Dec 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (review by editor) (23 Dec 2021) by Filippo Catani
AR by Sohrab Sharifi on behalf of the Authors (25 Dec 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish subject to technical corrections (15 Jan 2022) by Filippo Catani
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.
Final-revised paper