【摘要】 叶面积指数是生态系统的很重要的一种参数,因此,获取地表LAI参数对于草原生态系统的研究具有重要意义。在呼伦贝尔草甸草原的具有代表性地段,实测草地冠层光谱反射率及相应的叶面积指数数据的基础上,利用BP神经网络方法对草地叶面积指数的反演研究。研究表明,构建的神经网络模型,通过多次训练可以得到较高精度的反演叶面积指数。更多还原

【Abstract】 The leaf area index is an important parameter of the ecological system.So it is of importance to obtain the LAI parameters for study on the grassland ecological system.The grassland canopy spectral reflectivity and corresponding leaf area index were measured actually for the typical section on the Hulun Buir Grassland.On the basis of these data,the BP neural network method was employed for the inversion study on the leaf area index of the grassland.The study shows that the more precise inversion leaf area index may be obtained through training many times by structuring neural network model.更多还原