Articles | Volume 22, issue 5
https://doi.org/10.5194/nhess-22-1655-2022
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, Alessandro C. Mondini, and the AlpArray working group

Viewed

Total article views: 1,509 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,073 388 48 1,509 138 38 36
  • HTML: 1,073
  • PDF: 388
  • XML: 48
  • Total: 1,509
  • Supplement: 138
  • BibTeX: 38
  • EndNote: 36
Views and downloads (calculated since 15 Feb 2022)
Cumulative views and downloads (calculated since 15 Feb 2022)

Viewed (geographical distribution)

Total article views: 1,509 (including HTML, PDF, and XML) Thereof 1,359 with geography defined and 150 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 29 Feb 2024
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