 Object-based image analysis, O B I A, 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 O B I A works in wetland environments. This paper reviews 73 studies that used O B I A 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.