 Object-based image analysis, OBIA, has become increasingly popular in remote sensing studies of wetlands due to its ability to smooth out local noise, incorporate meaningful non-spectral features for classification, and account for landscape hierarchy. Despite this, there are still many unanswered questions regarding how well OBIA works in wetland environments. This paper reviews 73 studies that used OBIA in wetlands and discusses the accuracy and uncertainty of the results, as well as the potential for further development of the technology. This article was authored by Irina Dranova.