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利用野外实测调查数据,系统分析了ALOS PALSAR L波段HH(L-HH)极化数据与大兴安岭地区森林各成分参数的关系,并采用简单线性模型、指数模型和加入地理因子模型建立森林生物量的估算模型进行最优反演.结果表明:后向散射系数与树木地上部分总生物量相关性最大,其次是干生物量,L-HH数据可以用来反演正确的树木地上部分总生物量.3种模型中,加入地理因子模型降低了植被生物量估算的误差,精度达0.851,反演结果与实际相符.在41.5°入射角L-HH极化数据下,大兴安岭塔河林业局和阿木尔林业局的森林生物量饱和点在15.4 kg·m-2.
The field survey data were used to systematically analyze the relationship between L-HH (L-HH) polarization data in ALOS PALSAR L band and forest composition parameters in Daxinganling area. The linear models, exponential models and geo-factor models were used to establish the forest biomass The results show that the backscattering coefficient has the highest correlation with the total biomass of aboveground trees, followed by the dry biomass, and the L-HH data can be used to retrieve the correct total aboveground biomass of trees. Among the three models, the geo-factor model was adopted to reduce the estimation error of vegetation biomass with an accuracy of 0.851 and the inversion result was in good agreement with the actual data.Under the L-HH polarization data of 41.5 ° incidence angle, Tahe Forestry Bureau of Daxing’anling and Amur The forest biomass saturation point of the Forestry Bureau is 15.4 kg · m-2.