Abstract
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.