Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 4.252 IF 4.252
  • IF 5-year value: 4.890 IF 5-year 4.890
  • CiteScore value: 4.49 CiteScore 4.49
  • SNIP value: 1.539 SNIP 1.539
  • SJR value: 2.404 SJR 2.404
  • IPP value: 4.28 IPP 4.28
  • h5-index value: 40 h5-index 40
  • Scimago H index value: 51 Scimago H index 51
Volume 9, issue 10
Geosci. Model Dev., 9, 3533-3543, 2016
https://doi.org/10.5194/gmd-9-3533-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Geosci. Model Dev., 9, 3533-3543, 2016
https://doi.org/10.5194/gmd-9-3533-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Model description paper 04 Oct 2016

Model description paper | 04 Oct 2016

LAND-SE: a software for statistically based landslide susceptibility zonation, version 1.0

Mauro Rossi and Paola Reichenbach
Viewed  
Total article views: 1,505 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
725 662 118 1,505 214 74 88
  • HTML: 725
  • PDF: 662
  • XML: 118
  • Total: 1,505
  • Supplement: 214
  • BibTeX: 74
  • EndNote: 88
Views and downloads (calculated since 29 Apr 2016)
Cumulative views and downloads (calculated since 29 Apr 2016)
Cited  
Saved (final revised paper)  
No saved metrics found.
Saved (discussion paper)  
Discussed (final revised paper)  
No discussed metrics found.
Discussed (discussion paper)  
No discussed metrics found.
Latest update: 18 Dec 2018
Publications Copernicus
Download
Short summary
Landslide susceptibility maps show places where landslides may occur in the future. These maps are prepared using different approaches, information on past landslides distribution and a variety of geo-environmental data. The paper describes LAND-SE (LANDslide Susceptibility Evaluation), an open-source software coded in R for statistically based susceptibility zonation that provides estimates of model performances and uncertainty. A user guide and example data are distributed with the software.
Landslide susceptibility maps show places where landslides may occur in the future. These maps...
Citation
Share