Comparison of object-based and pixel-based Random Forest algorithm for wetland vegetation mapping using high spatial resolution GF-1 and SAR data

•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.