Articles | Volume 22, issue 11
Nat. Hazards Earth Syst. Sci., 22, 3641–3661, 2022

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

Nat. Hazards Earth Syst. Sci., 22, 3641–3661, 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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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. 
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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.
Final-revised paper