The inexorable progress made in the past years in the field of Earth observation (EO) technologies offers a huge potential for innovation in Disaster Risk Reduction (DRR) applications. Interferometry processing of SAR data is one of the standard techniques for the detection, detailed characterisation and monitoring of surface motion caused by natural disasters. Yet the transfer of this technology progress to the user community needs to move forward in order to ensure that advancements in satellite technologies are transformed into services to be used by the community.

One of the main challenges for the user community nowadays is the handling of the increasing volume of EO data generated daily and cloud infrastructure is a potential efficient solution to cope with it. Most of the consolidated methodologies for hazard mapping use statistical approaches, geophysical data and modelling geological data. In this framework generating hazard maps from Sentinel-1 data processed on a cloud infrastructure clearly has great capabilities for the acceptance and uptake of procedures by users. This study aimed at providing the user community with a Sentinel-1 solution to foster and accelerate the utilisation on a cloud infrastructure of space assets and innovative data exploitation methods. The selected cloud infrastructure for developing the project methodologies was the ESA Geohazard Exploitation Platform (GEP).