Articles | Volume 22, issue 11
https://doi.org/10.5194/nhess-22-3679-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-22-3679-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
15 Nov 2022
Research article |
| 15 Nov 2022
| 15 Nov 2022
Timing landslide and flash flood events from SAR satellite: a regionally applicable methodology illustrated in African cloud-covered tropical environments
Axel A. J. Deijns
CORRESPONDING AUTHOR
Department of Earth Sciences, Royal Museum for Central Africa, 3080
Tervuren, Belgium
Department of Hydrology and Hydraulic Engineering, Earth System
Sciences, Vrije Universiteit Brussel, 1050 Elsene, Belgium
Olivier Dewitte
Department of Earth Sciences, Royal Museum for Central Africa, 3080
Tervuren, Belgium
Wim Thiery
Department of Hydrology and Hydraulic Engineering, Earth System
Sciences, Vrije Universiteit Brussel, 1050 Elsene, Belgium
Nicolas d'Oreye
Department of Geophysics/Astrophysics, National Museum of Natural
History, 7256 Walferdange, Luxembourg
European Center for Geodynamics and Seismology, 7256 Walferdange,
Luxembourg
Jean-Philippe Malet
Institut Terre et Environnement de Strasbourg/ITES – UMR 7063 CNRS, École et Observatoire des Sciences de la Terre, Université de Strasbourg, 5 rue Descartes, 676084 Strasbourg, France
François Kervyn
Department of Earth Sciences, Royal Museum for Central Africa, 3080
Tervuren, Belgium
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Cited
27 citations as recorded by crossref.
- A semi-supervised multi-temporal landslide and flash flood event detection methodology for unexplored regions using massive satellite image time series A. Deijns et al. https://doi.org/10.1016/j.isprsjprs.2024.07.010
- Event-based rainfall-induced landslide inventories and rainfall thresholds for Malawi P. Niyokwiringirwa et al. https://doi.org/10.1007/s10346-023-02203-7
- Analyzing the Accuracy of Satellite-Derived DEMs Using High-Resolution Terrestrial LiDAR A. Mohamed et al. https://doi.org/10.3390/land13122171
- Effects of agricultural terraces on landslide occurrence: Insights from a tropical mountainous region (Rwanda, Africa) P. Sibomana et al. https://doi.org/10.1016/j.catena.2025.108898
- Retrieval of Monsoon Landslide Timings With Sentinel‐1 Reveals the Effects of Earthquakes and Extreme Rainfall K. Burrows et al. https://doi.org/10.1029/2023GL104720
- Landslides, bedrock incision and human-induced environmental changes in an extremely rapidly formed tropical river gorge T. Mugaruka Bibentyo et al. https://doi.org/10.1016/j.geomorph.2023.109046
- Landslide Susceptibility Mapping in the Mount Elgon Districts of Eastern Uganda Using Google Earth Engine M. Abdulahi et al. https://doi.org/10.3390/geohazards7020050
- A framework for automated landslide dating utilizing SAR-Derived Parameters Time-Series, An Enhanced Transformer Model, and Dynamic Thresholding W. Wang et al. https://doi.org/10.1016/j.jag.2024.103795
- When it comes to Earth observations in AI for disaster risk reduction, is it feast or famine? A topical review M. Kuglitsch et al. https://doi.org/10.1088/1748-9326/acf601
- Disaster management technology and approaches: a focus on heterogeneous systems M. Haris et al. https://doi.org/10.1007/s10669-026-10090-1
- StageIV-IRC: a high-resolution dataset of extreme orographic Quantitative Precipitation Estimates (QPE) constrained to water budget closure for historical floods in the Appalachian Mountains M. Liao & A. Barros https://doi.org/10.5194/essd-18-2047-2026
- Assessing community vulnerability to landslide and flood in northwestern Rwanda C. Idukunda et al. https://doi.org/10.1016/j.ijdrr.2025.105329
- Spatio-temporal analysis of slum growth and flood inundation in east african cities using machine learning K. Gilbert & Q. Shi https://doi.org/10.1007/s10708-026-11579-7
- Combined Effect of the Microstructure and Mechanical Behavior of Lateritic Soils in the Instability of a Road Cut Slope in Rwanda R. Valentino et al. https://doi.org/10.3390/geohazards5020029
- Flash flood susceptibility mapping of north-east depression of Bangladesh using different GIS based bivariate statistical models M. Chowdhury https://doi.org/10.1016/j.wsee.2023.12.002
- Evaluating Flood Extent Using Synthetic Aperture Radar (SAR) and Modified Normalized Difference Water Index (MNDWI) Methods G. Tassew et al. https://doi.org/10.1007/s41976-025-00211-w
- A landslide dating framework using a combination of Sentinel-1 SAR and -2 optical imagery S. Fu et al. https://doi.org/10.1016/j.enggeo.2023.107388
- Identifying local hotspots of compounded physical and social impacts from Hurricane Helene-induced flood and landslides A. Shrestha & C. Fan https://doi.org/10.1016/j.ijdrr.2026.106268
- HR-GLDD: a globally distributed dataset using generalized deep learning (DL) for rapid landslide mapping on high-resolution (HR) satellite imagery S. Meena et al. https://doi.org/10.5194/essd-15-3283-2023
- On the use of rainfall time series for regional landslide prediction by means of functional regression M. Ahmed et al. https://doi.org/10.1016/j.enggeo.2026.108860
- Hillslope torrential hazard cascades in tropical mountains M. Arango-Carmona et al. https://doi.org/10.5194/nhess-25-3641-2025
- Flood Detection with SAR: A Review of Techniques and Datasets D. Amitrano et al. https://doi.org/10.3390/rs16040656
- SUGARFuseNet: Diffusion‑driven domain adaptation and bimodal bitemporal fusion for advancing global landslide segmentation on novel GBMT‑SLID dataset G. Emani et al. https://doi.org/10.1016/j.neucom.2026.134060
- The Kagbeni flood event (August 13, 2023), Mustang District (Nepal): Triggers, sediment cascades, aggravating infrastructures and disaster risk management M. Fort et al. https://doi.org/10.4000/154up
- An ensemble neural network approach for space–time landslide predictive modelling J. Lim et al. https://doi.org/10.1016/j.jag.2024.104037
- From landslides to debris floods: Understanding cascading hazard mechanisms in the Nyamwamba catchment, Mt. Rwenzori, Uganda A. Mazimwe et al. https://doi.org/10.1016/j.nhres.2025.11.002
- Detection of landslide timing, reactivation and precursory motion during the 2018, Lombok, Indonesia earthquake sequence with Sentinel-1 K. Burrows et al. https://doi.org/10.5194/esurf-13-1039-2025
27 citations as recorded by crossref.
- A semi-supervised multi-temporal landslide and flash flood event detection methodology for unexplored regions using massive satellite image time series A. Deijns et al. https://doi.org/10.1016/j.isprsjprs.2024.07.010
- Event-based rainfall-induced landslide inventories and rainfall thresholds for Malawi P. Niyokwiringirwa et al. https://doi.org/10.1007/s10346-023-02203-7
- Analyzing the Accuracy of Satellite-Derived DEMs Using High-Resolution Terrestrial LiDAR A. Mohamed et al. https://doi.org/10.3390/land13122171
- Effects of agricultural terraces on landslide occurrence: Insights from a tropical mountainous region (Rwanda, Africa) P. Sibomana et al. https://doi.org/10.1016/j.catena.2025.108898
- Retrieval of Monsoon Landslide Timings With Sentinel‐1 Reveals the Effects of Earthquakes and Extreme Rainfall K. Burrows et al. https://doi.org/10.1029/2023GL104720
- Landslides, bedrock incision and human-induced environmental changes in an extremely rapidly formed tropical river gorge T. Mugaruka Bibentyo et al. https://doi.org/10.1016/j.geomorph.2023.109046
- Landslide Susceptibility Mapping in the Mount Elgon Districts of Eastern Uganda Using Google Earth Engine M. Abdulahi et al. https://doi.org/10.3390/geohazards7020050
- A framework for automated landslide dating utilizing SAR-Derived Parameters Time-Series, An Enhanced Transformer Model, and Dynamic Thresholding W. Wang et al. https://doi.org/10.1016/j.jag.2024.103795
- When it comes to Earth observations in AI for disaster risk reduction, is it feast or famine? A topical review M. Kuglitsch et al. https://doi.org/10.1088/1748-9326/acf601
- Disaster management technology and approaches: a focus on heterogeneous systems M. Haris et al. https://doi.org/10.1007/s10669-026-10090-1
- StageIV-IRC: a high-resolution dataset of extreme orographic Quantitative Precipitation Estimates (QPE) constrained to water budget closure for historical floods in the Appalachian Mountains M. Liao & A. Barros https://doi.org/10.5194/essd-18-2047-2026
- Assessing community vulnerability to landslide and flood in northwestern Rwanda C. Idukunda et al. https://doi.org/10.1016/j.ijdrr.2025.105329
- Spatio-temporal analysis of slum growth and flood inundation in east african cities using machine learning K. Gilbert & Q. Shi https://doi.org/10.1007/s10708-026-11579-7
- Combined Effect of the Microstructure and Mechanical Behavior of Lateritic Soils in the Instability of a Road Cut Slope in Rwanda R. Valentino et al. https://doi.org/10.3390/geohazards5020029
- Flash flood susceptibility mapping of north-east depression of Bangladesh using different GIS based bivariate statistical models M. Chowdhury https://doi.org/10.1016/j.wsee.2023.12.002
- Evaluating Flood Extent Using Synthetic Aperture Radar (SAR) and Modified Normalized Difference Water Index (MNDWI) Methods G. Tassew et al. https://doi.org/10.1007/s41976-025-00211-w
- A landslide dating framework using a combination of Sentinel-1 SAR and -2 optical imagery S. Fu et al. https://doi.org/10.1016/j.enggeo.2023.107388
- Identifying local hotspots of compounded physical and social impacts from Hurricane Helene-induced flood and landslides A. Shrestha & C. Fan https://doi.org/10.1016/j.ijdrr.2026.106268
- HR-GLDD: a globally distributed dataset using generalized deep learning (DL) for rapid landslide mapping on high-resolution (HR) satellite imagery S. Meena et al. https://doi.org/10.5194/essd-15-3283-2023
- On the use of rainfall time series for regional landslide prediction by means of functional regression M. Ahmed et al. https://doi.org/10.1016/j.enggeo.2026.108860
- Hillslope torrential hazard cascades in tropical mountains M. Arango-Carmona et al. https://doi.org/10.5194/nhess-25-3641-2025
- Flood Detection with SAR: A Review of Techniques and Datasets D. Amitrano et al. https://doi.org/10.3390/rs16040656
- SUGARFuseNet: Diffusion‑driven domain adaptation and bimodal bitemporal fusion for advancing global landslide segmentation on novel GBMT‑SLID dataset G. Emani et al. https://doi.org/10.1016/j.neucom.2026.134060
- The Kagbeni flood event (August 13, 2023), Mustang District (Nepal): Triggers, sediment cascades, aggravating infrastructures and disaster risk management M. Fort et al. https://doi.org/10.4000/154up
- An ensemble neural network approach for space–time landslide predictive modelling J. Lim et al. https://doi.org/10.1016/j.jag.2024.104037
- From landslides to debris floods: Understanding cascading hazard mechanisms in the Nyamwamba catchment, Mt. Rwenzori, Uganda A. Mazimwe et al. https://doi.org/10.1016/j.nhres.2025.11.002
- Detection of landslide timing, reactivation and precursory motion during the 2018, Lombok, Indonesia earthquake sequence with Sentinel-1 K. Burrows et al. https://doi.org/10.5194/esurf-13-1039-2025
Saved (final revised paper)
Latest update: 25 Aug 2026
Short summary
Landslides and flash floods are rainfall-induced processes that often co-occur and interact, generally very quickly. In mountainous cloud-covered environments, determining when these processes occur remains challenging. We propose a regional methodology using open-access satellite radar images that allow for the timing of landslide and flash floods events, in the contrasting landscapes of tropical Africa, with an accuracy of up to a few days. The methodology shows potential for transferability.
Landslides and flash floods are rainfall-induced processes that often co-occur and interact,...
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