Articles | Volume 22, issue 11
Research article
07 Nov 2022
Research article |  | 07 Nov 2022

Potential of satellite-derived hydro-meteorological information for landslide initiation thresholds in Rwanda

Judith Uwihirwe, Alessia Riveros, Hellen Wanjala, Jaap Schellekens, Frederiek Sperna Weiland, Markus Hrachowitz, and Thom A. Bogaard


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Review to egushere-2022-596 by Uwihirwe et al.', Anonymous Referee #1, 10 Aug 2022
    • AC1: 'Reply on RC1', Judith Uwihirwe, 07 Sep 2022
  • RC2: 'Comment on egusphere-2022-596', Anonymous Referee #2, 22 Aug 2022
    • AC2: 'Reply on RC2', Judith Uwihirwe, 07 Sep 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to minor revisions (review by editor) (08 Sep 2022) by Francesco Marra
AR by Judith Uwihirwe on behalf of the Authors (14 Sep 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (18 Sep 2022) by Francesco Marra
ED: Publish as is (17 Oct 2022) by Paolo Tarolli (Executive editor)
AR by Judith Uwihirwe on behalf of the Authors (25 Oct 2022)  Author's response   Manuscript 
Short summary
This study compared gauge-based and satellite-based precipitation products. Similarly, satellite- and hydrological model-derived soil moisture was compared to in situ soil moisture and used in landslide hazard assessment and warning. The results reveal the cumulative 3 d rainfall from the NASA-GPM to be the most effective landslide trigger. The modelled antecedent soil moisture in the root zone was the most informative hydrological variable for landslide hazard assessment and warning in Rwanda.
Final-revised paper