In this paper we first highlight a new approach to the analysis of compact polarimetric imaging radar data, based on decomposition theory. We then use a time series of Radarsat-2 quadpol data acquisitions collected over the autumn and winter of 2011/12 for a calibrated forest test site near Hinton in Alberta, Canada, which contains a mixed forest, seminatural vegetation and mountainous terrain environment. This data is collected in the new wide-swath quadpol mode FQW of Radarsat-2, which matches the wider range swath capability of any future compact mode. This data is first used to simulate compact mode using circular polarization transmit and dual linear receive and the co-registered multitemporal stack then employed for a rule-based classifier to determine land-use types compared against a reference landuse map. We compare the information obtained from compact against a standard dualpol linear transmit and dual linear receive, as proposed for example in the ESA Sentinel missions, to confirm the utility of using circular polarization for enhanced land-use products at C-band.