Surface wave attenuation in foothills areas: two innovative approaches

We present two innovative approaches that exploit the combination of different criteria so as to discriminate between effective signal and noise. The first one makes use of both apparent velocity and polarisation. Its ability to detect noise is demonstrated on a synthetic multi-component data set inspired from South American foothills. The second one combines apparent velocity and a decomposition on different time and space scales. Improvements over classical FK filtering are shown on a single component real data set from Canadian foothills.