 Object-based image analysis, OBA, 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 success, there are still many unanswered questions regarding how well OBA can be used in wetland environments. This review examines 73 studies that have used OBA 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 Tranova.