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

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Cited articles

Adams, B. B. J., Asce, M., Fraser, H. G., and Hanafy, M. S.: Meteorological data analysis for drainage system design, J. Environ. Eng., 112, 827–848, 1987. 
Ashouri, H., Lin Hsu, K., Sorooshian, S., Braithwaite, D. K., Knapp, K. R., Cecil, D. L., Nelson, B. R., and Prat, O. P.: Daily Precipitation Climate Data Record from Multisatellite Observations for Hydrological and Climate Studies, Am. Meteorol. Soc., 69–84,, 2015. 
Bhatti, H. A., Rientjes, T., Haile, A. T., Habib, E., and Verhoef, W.: Evaluation of bias correction method for satellite-based rainfall data, Sensors, 16, 1–16,, 2016. 
Bizimana, H. and Sönmez, O.: Landslide Occurrences in The Hilly Areas of Rwanda, Their Causes and Protection Measures, Disast. Sci. Eng., 1, 1–7, 2015. 
Bogaard, T. and Greco, R.: Invited perspectives: Hydrological perspectives on precipitation intensity-duration thresholds for landslide initiation: proposing hydro-meteorological thresholds, Nat. Hazards Earth Syst. Sci., 18, 31–39,, 2018. 
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