【摘要】 以中巴卫星CEBERS-WFI遥感数据为基础,结合东北三省的地理、气象因子及森林资源连续清查固定样地信息,构建BP人工神经网络森林生物量估测模型,对我国东北三省的森林生物量进行估测,并反演了森林生物量的空间分布图像。结果表明,基于CEBERS-WFI遥感数据的BP人工神经网络应用于森林生物量估测简单实用,是一种快捷、有效的估测方法。更多还原

【Abstract】 Based on CEBERS-WFI remote sensing data,combined with the geographical and weather factors and NFI fixed sample plot measurement data of the three northeastern provinces,BP artificial neural network model for estimation of forest biomass for China’s three northeastern provinces was developed and the remote sensing data based spatial distribution forest biomass image produced.The results showed that CEBERS-WFI BP artificial neural network is a quick and effective method for forest biomass estimation.更多还原