Articles | Volume 22, issue 5
Nat. Hazards Earth Syst. Sci., 22, 1655–1664, 2022
https://doi.org/10.5194/nhess-22-1655-2022
Nat. Hazards Earth Syst. Sci., 22, 1655–1664, 2022
https://doi.org/10.5194/nhess-22-1655-2022
Research article
18 May 2022
Research article | 18 May 2022

Landslides caught on seismic networks and satellite radars

Andrea Manconi et al.

Download

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on nhess-2022-34', Anonymous Referee #1, 22 Mar 2022
    • AC1: 'Reply on RC1', Andrea Manconi, 27 Apr 2022
  • RC2: 'Comment on nhess-2022-34', Anonymous Referee #2, 29 Mar 2022
    • AC2: 'Reply on RC2', Andrea Manconi, 27 Apr 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (review by editor) (28 Apr 2022) by Paola Reichenbach
AR by Andrea Manconi on behalf of the Authors (28 Apr 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (03 May 2022) by Paola Reichenbach
Download
Short summary
Information on when, where, and how landslide events occur is the key to building complete catalogues and performing accurate hazard assessments. Here we show a procedure that allows us to benefit from the increased density of seismic sensors installed on ground for earthquake monitoring and from the unprecedented availability of satellite radar data. We show how the procedure works on a recent sequence of landslides that occurred at Piz Cengalo (Swiss Alps) in 2017.
Altmetrics
Final-revised paper
Preprint