Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 22, issue 4
Articles | Volume 22, issue 4
https://doi.org/10.5194/nhess-22-1395-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-22-1395-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 22, issue 4
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: 3,685 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,544 1,050 91 3,685 117 122
  • HTML: 2,544
  • PDF: 1,050
  • XML: 91
  • Total: 3,685
  • BibTeX: 117
  • EndNote: 122
Views and downloads (calculated since 18 Nov 2021)
Cumulative views and downloads (calculated since 18 Nov 2021)

Viewed (geographical distribution)

Total article views: 3,685 (including HTML, PDF, and XML) Thereof 3,461 with geography defined and 224 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 20 Nov 2025
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.
Read more
Share
Altmetrics
Final-revised paper
Preprint