Articles | Volume 22, issue 11
https://doi.org/10.5194/nhess-22-3641-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/nhess-22-3641-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Potential of satellite-derived hydro-meteorological information for landslide initiation thresholds in Rwanda
Section Water Resources, Department of Water Management, Faculty of
Civil Engineering and Geosciences, Delft University of Technology, P.O. Box 5048, 2600 GA Delft, the Netherlands
Department of Irrigation and Drainage, School of Agricultural
Engineering, College of Agriculture Animal Sciences and Veterinary Medicine,
University of Rwanda, P.O. Box 210, Musanze, Rwanda
Alessia Riveros
Section Water Resources, Department of Water Management, Faculty of
Civil Engineering and Geosciences, Delft University of Technology, P.O. Box 5048, 2600 GA Delft, the Netherlands
Deltares, P.O. Box 177, 2600 MH Delft, the Netherlands
Hellen Wanjala
Planet Labs, PBC, Wilhelminastraat 43A, 2011 VK Haarlem, the
Netherlands
Jaap Schellekens
Planet Labs, PBC, Wilhelminastraat 43A, 2011 VK Haarlem, the
Netherlands
Frederiek Sperna Weiland
Deltares, P.O. Box 177, 2600 MH Delft, the Netherlands
Markus Hrachowitz
Section Water Resources, Department of Water Management, Faculty of
Civil Engineering and Geosciences, Delft University of Technology, P.O. Box 5048, 2600 GA Delft, the Netherlands
Thom A. Bogaard
Section Water Resources, Department of Water Management, Faculty of
Civil Engineering and Geosciences, Delft University of Technology, P.O. Box 5048, 2600 GA Delft, the Netherlands
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Cited
10 citations as recorded by crossref.
- Rainfall- and Irrigation-Induced Landslide Mechanisms in Loess Slopes: An Experimental Investigation in Lanzhou, China W. Liu et al. 10.3390/atmos15020162
- I–D Threshold Analysis of Rainfall-Triggered Landslides Based on TRMM Precipitation Data in Wudu, China S. Ning et al. 10.3390/rs15153892
- Reactivation of an old landslide in north–central Iran following reservoir impoundment: Results from multisensor satellite time-series analysis M. Vassileva et al. 10.1016/j.enggeo.2023.107337
- Feasibility of satellite-based rainfall and soil moisture data in determining the triggering conditions of debris flow: The Jiangjia Gully (China) case study H. Yang et al. 10.1016/j.enggeo.2023.107041
- Recent advancements of landslide hydrology R. Greco et al. 10.1002/wat2.1675
- Development of a soil moisture forecasting method for a landslide early warning system (LEWS): Pilot cases in coastal regions of Brazil I. Sousa et al. 10.1016/j.jsames.2023.104631
- Integrating rainfall severity and soil saturation indices to define hydro-meteorological thresholds for landslides S. Zhang et al. 10.1016/j.jhydrol.2025.132873
- Low-Cost Sensors for the Measurement of Soil Water Content for Rainfall-Induced Shallow Landslide Early Warning Systems M. Pavanello et al. 10.3390/w16223244
- Using principal component analysis to incorporate multi-layer soil moisture information in hydrometeorological thresholds for landslide prediction: an investigation based on ERA5-Land reanalysis data N. Palazzolo et al. 10.5194/nhess-23-279-2023
- Temporal prediction of shallow landslides exploiting soil saturation degree derived by ERA5-Land products M. Bordoni et al. 10.1007/s10064-023-03304-2
9 citations as recorded by crossref.
- Rainfall- and Irrigation-Induced Landslide Mechanisms in Loess Slopes: An Experimental Investigation in Lanzhou, China W. Liu et al. 10.3390/atmos15020162
- I–D Threshold Analysis of Rainfall-Triggered Landslides Based on TRMM Precipitation Data in Wudu, China S. Ning et al. 10.3390/rs15153892
- Reactivation of an old landslide in north–central Iran following reservoir impoundment: Results from multisensor satellite time-series analysis M. Vassileva et al. 10.1016/j.enggeo.2023.107337
- Feasibility of satellite-based rainfall and soil moisture data in determining the triggering conditions of debris flow: The Jiangjia Gully (China) case study H. Yang et al. 10.1016/j.enggeo.2023.107041
- Recent advancements of landslide hydrology R. Greco et al. 10.1002/wat2.1675
- Development of a soil moisture forecasting method for a landslide early warning system (LEWS): Pilot cases in coastal regions of Brazil I. Sousa et al. 10.1016/j.jsames.2023.104631
- Integrating rainfall severity and soil saturation indices to define hydro-meteorological thresholds for landslides S. Zhang et al. 10.1016/j.jhydrol.2025.132873
- Low-Cost Sensors for the Measurement of Soil Water Content for Rainfall-Induced Shallow Landslide Early Warning Systems M. Pavanello et al. 10.3390/w16223244
- Using principal component analysis to incorporate multi-layer soil moisture information in hydrometeorological thresholds for landslide prediction: an investigation based on ERA5-Land reanalysis data N. Palazzolo et al. 10.5194/nhess-23-279-2023
Latest update: 15 Jun 2025
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.
This study compared gauge-based and satellite-based precipitation products. Similarly,...
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