Articles | Volume 23, issue 2
https://doi.org/10.5194/nhess-23-991-2023
https://doi.org/10.5194/nhess-23-991-2023
Research article
 | 
03 Mar 2023
Research article |  | 03 Mar 2023

Multi-station automatic classification of seismic signatures from the Lascar volcano database

Pablo Salazar, Franz Yupanqui, Claudio Meneses, Susana Layana, and Gonzalo Yáñez

Viewed

Total article views: 1,341 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
988 310 43 1,341 43 35
  • HTML: 988
  • PDF: 310
  • XML: 43
  • Total: 1,341
  • BibTeX: 43
  • EndNote: 35
Views and downloads (calculated since 14 Jun 2022)
Cumulative views and downloads (calculated since 14 Jun 2022)

Viewed (geographical distribution)

Total article views: 1,341 (including HTML, PDF, and XML) Thereof 1,272 with geography defined and 69 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 29 Jun 2024
Download
Short summary
The acquisition of more generalizable models, using machine learning techniques, creates a good opportunity to develop a multi-volcano probabilistic model for volcanoes worldwide. This will improve the understanding and evaluation of the hazards and risks associated with the activity of volcanoes.
Altmetrics
Final-revised paper
Preprint