the linear regression models and the non-linear regression models are established respectively, which can be used in monitoring the grassland biomass based on the vegetation indices . finally, in order to establish the grassland biomass monitoring models with higher accuracy the different forms of the non-linear regression model were established respectively, including the quadric equation, the cubic equation, the logarithmic equation, and the exponential equation . the repeated tests indicated that the cubic equation is the best one in terms of the suitability of use in the study area 建立遙感植被指數(shù)和草地生物量的一元線性回歸模型和非線性回歸模型,通過反復(fù)分析論證得出,非線性回歸模型相對(duì)于一元線性回歸模型與實(shí)測(cè)生物量更為符合;通過分析植被指數(shù)與實(shí)測(cè)生物量的不同非線性回歸模型的結(jié)果,表明三次方程y=-18.626rvi~3+220.317rvi~2-648.271rvi+691.093是最適用于監(jiān)測(cè)研究區(qū)草地生物量的非線性模型。