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Heavy rainfall events in mountainous areas can trigger thousands of destructive landslides, which pose a risk to people and infrastructure and significantly affect the landscape. Inventories of these landslides are used to assess their impact on the landscape and in hazard mitigation strategies and modelling. Optical and multi-spectral satellite imagery can be used to generate rainfall-triggered landslide inventories over wide areas, but cloud cover associated with the rainfall event can obscure this imagery. This delay means that for long rainfall events, such as the monsoon or successive typhoons, landslide timing is often poorly constrained. This lack of information on landslide timing limits both hazard mitigation strategies and our ability to model the physical landslide triggering processes. Synthetic aperture radar (SAR) data represent an alternative source of information on landslides and can be acquired in all …