Articles | Volume 22, issue 11
https://doi.org/10.5194/nhess-22-3641-2022
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, Alessia Riveros, Hellen Wanjala, Jaap Schellekens, Frederiek Sperna Weiland, Markus Hrachowitz, and Thom A. Bogaard

Viewed

Total article views: 1,873 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,380 434 59 1,873 42 44
  • HTML: 1,380
  • PDF: 434
  • XML: 59
  • Total: 1,873
  • BibTeX: 42
  • EndNote: 44
Views and downloads (calculated since 11 Jul 2022)
Cumulative views and downloads (calculated since 11 Jul 2022)

Viewed (geographical distribution)

Total article views: 1,873 (including HTML, PDF, and XML) Thereof 1,780 with geography defined and 93 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Download
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.
Altmetrics
Final-revised paper
Preprint