Banghu Lake， Changhu Lake， and Sizhoutou wetland on the Poyang Lake National Nature Reserve in Jiangxi Province were used to study the spatial distribution characteristics of the content of organic carbon in surface soil in seasonal flooded wetlands of Poyang Lake and the applicability of remote sensing methods for estimating the content of organic carbon in surface soil. Remote sensing image processing and GIS technology were used to extract feature factors of remote sensing from the images based on the data about the content of organic carbon in soil measured in the field and Landsat8 OLT remote sensing images from the same period. The regression models of univariate linear， univariate curve， and multiple stepwise linear for parameters of remote sensing and the content of organic carbon in soil were constructed. The optimal estimation models of remote sensing were selected by comparing and analyzing to predict the content of organic carbon in the surface layer （0-20 cm） of seasonal flooded wetlands in Poyang Lake. The results showed that 33 feature factors of remote sensing including reflectance values （b₁-b₇） in 7 bands， 4 vegetation indices（NDVI，SR，SAVI，EVI）， first principal component feature （PCA1）， the mean （MEAN） ， entropy （ENT）， and correlation （COR） of single band texture features were extracted from the images. Texture features were important factors of remote sensing for predicting the content of organic carbon in the areas studied， and their fitting effect with the multiple stepwise linear regression model Y=42.708－2.817X_b3MEAN－4.887X_b5COR＋0.667X_b7MEAN （b_3MEAN，b_5COR and b_7MEAN representing the mean value， correlation and mean value of texture features in bands 3，5 and 7， respectively） constructed for the content of organic carbon in soil was the best. The determination coefficient of model， R² was 0.772， with an average relative error （MRE） of 45.53% and a root mean square error （RMSE） of 2.417. The results of remote sensing inversion showed that the predicted content of organic carbon in surface soil in the areas studied was mainly concentrated at 0-20 g/kg， with an average content of organic carbon in soil about 10.75 g/kg. It is indicated that it is feasible to use remote sensing to predict the content of organic carbon in soil of wetlands.