Articles | Volume 22, issue 4
https://doi.org/10.5194/nhess-22-1395-2022
https://doi.org/10.5194/nhess-22-1395-2022
Research article
 | 
21 Apr 2022
Research article |  | 21 Apr 2022

Assessing the importance of conditioning factor selection in landslide susceptibility for the province of Belluno (region of Veneto, northeastern Italy)

Sansar Raj Meena, Silvia Puliero, Kushanav Bhuyan, Mario Floris, and Filippo Catani

Viewed

Total article views: 2,414 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,667 688 59 2,414 55 52
  • HTML: 1,667
  • PDF: 688
  • XML: 59
  • Total: 2,414
  • BibTeX: 55
  • EndNote: 52
Views and downloads (calculated since 18 Nov 2021)
Cumulative views and downloads (calculated since 18 Nov 2021)

Viewed (geographical distribution)

Total article views: 2,414 (including HTML, PDF, and XML) Thereof 2,228 with geography defined and 186 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 18 Jun 2024
Download
Short summary
The study investigated the importance of the conditioning factors in predicting landslide occurrences using the mentioned models. In this paper, we evaluated the importance of the conditioning factors (features) in the overall prediction capabilities of the statistical and machine learning algorithms.
Altmetrics
Final-revised paper
Preprint