Abstract: Utilizing the in situ spectral data and biomass data of reed, collected in the spring of 2004 in Yellow River Estuary Wetland, and regarding vegetation index, first derivative spectrum and its derived parameters as characteristic parameters, this article builds biomass estimation model of reed based on the in situ spectral data through a variety of univariate regression models.The research shows that:(1) Generally, the correlation between characteristic parameters and biomass is:vegetation index first derivative spectrum first derivative spectrum derived parameters.(2)There is significant correlation between biomass and first derivative spectrum in spring when the spectrum fluctuates from 715 nm to 755 nm.Among the band combinations, when the red band changes from 722 nm to 751 nm and the corresponding infrared red is 765 nm or 768 nm, the correlation between vegetation index and biomass is the best.(3) Compared with other estimation models, S-type model and cubic estimation model are more effective.Among all the estimation models, MSAVI's S-type model is the most accurate while R2, MRE and RMSE are 0.817, 11.80% and 0.085 kg/m2 respectively.In addition, the estimated value is generally equal to the measured value.