Information on when, where and how landslides events occur is the key to build complete catalogues and perform accurate hazard assessments. Despite recent efforts, quantitative datasets are rare. Here we present a procedure to detect landslide events by jointly analyzing data acquired from regional broadband seismic networks and spaceborne radar imagery. To validate the method, we consider a series of six slope failures associated to the Piz Cengalo rock avalanche recently occurred in the Swiss Alps, a region where we can benefit from high spatial density and quality of seismic data, as well as from the high spatial and temporal resolution of the ESA Copernicus Sentinel-1 radar satellites. The operational implementation of the proposed approach, in combination with the future increase in availability of seismic and satellite data, can offer a new and efficient solution to build and/or expand landslide catalogues based on quantitative measurements, which are the base of hazard assessment and early warning systems at regional scale.