Articles | Volume 18, issue 1
Research article
09 Jan 2018
Research article |  | 09 Jan 2018

Field-based landslide susceptibility assessment in a data-scarce environment: the populated areas of the Rwenzori Mountains

Liesbet Jacobs, Olivier Dewitte, Jean Poesen, John Sekajugo, Adriano Nobile, Mauro Rossi, Wim Thiery, and Matthieu Kervyn


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to technical corrections (17 Nov 2017) by Jean-Philippe Malet
AR by Liesbet Jacobs on behalf of the Authors (18 Nov 2017)  Manuscript 
Short summary
While country-specific, continental and global susceptibility maps are increasingly available, local and regional susceptibility studies remain rare in remote and data-poor settings. Here, we provide a landslide susceptibility assessment for the inhabited region of the Rwenzori Mountains. We find that higher spatial resolutions do not necessarily lead to better models and that models built for local case studies perform better than aggregated susceptibility assessments on the regional scale.
Final-revised paper