Articles | Volume 24, issue 11
https://doi.org/10.5194/nhess-24-3815-2024
https://doi.org/10.5194/nhess-24-3815-2024
Research article
 | 
08 Nov 2024
Research article |  | 08 Nov 2024

Size scaling of large landslides from incomplete inventories

Oliver Korup, Lisa V. Luna, and Joaquin V. Ferrer

Viewed

Total article views: 2,676 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,897 488 291 2,676 41 98 160
  • HTML: 1,897
  • PDF: 488
  • XML: 291
  • Total: 2,676
  • Supplement: 41
  • BibTeX: 98
  • EndNote: 160
Views and downloads (calculated since 22 Apr 2024)
Cumulative views and downloads (calculated since 22 Apr 2024)

Viewed (geographical distribution)

Total article views: 2,676 (including HTML, PDF, and XML) Thereof 2,575 with geography defined and 101 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 22 Mar 2026
Download
Short summary
Catalogues of mapped landslides are useful for learning and forecasting how frequently they occur in relation to their size. Yet, rare and large landslides remain mostly uncertain in statistical summaries of these catalogues. We propose a single, consistent method of comparing across different data sources and find that landslide statistics disclose more about subjective mapping choices than trigger types or environmental settings.
Share
Altmetrics
Final-revised paper
Preprint