Articles | Volume 22, issue 11
Nat. Hazards Earth Syst. Sci., 22, 3641–3661, 2022
https://doi.org/10.5194/nhess-22-3641-2022

Special issue: Hydro-meteorological extremes and hazards: vulnerability,...

Nat. Hazards Earth Syst. Sci., 22, 3641–3661, 2022
https://doi.org/10.5194/nhess-22-3641-2022
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 et al.

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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
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
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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.
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