Random Forest (RF) algorithms for mapping wetland vegetation. Synergistic use of optical and SAR data achieved 89.64% overall accuracy. Object-based classifications outperform pixel-based classifications. PALSAR and Radarsat-2 both provided important variables for wetland mapping. Improved understanding of wetland composition in a major wetland national natural reserve in China.