基于林分优势木平均高的二类小班调查和系统抽样数据的融合

Data Fusion of Stand Dominant Height on Forest Resource Inventory Data for Management and Systematic Plots

林分优势木平均高是衡量立地生产量的一个重要指标,通过系统固定样地调查和二类调查数据均可得到林分优势木平均高。鉴于此2类调查方法各有优缺点,做到二类调查数据到系统样地的融合很有必要。基于2004年和2009的二类调查数据,通过贝叶斯法构建林分优势木平均高模型,并通过该模型预测2011,2013年的林分优势木平均高,与此2a的系统样地数据进行融合,得到非线性融合模型H_s=9.612 6ln(H_p)-9.374(R^2=0.503 8)。

Stand dominant height is an important index for evaluating site quality which could be obtained from forest resource inventory data for management （FIDM） and systematic plots. Taking into account the advantages and disadvantages of these two survey methods,it is important to make the data fusion of these two data sources. In this study,we developed stand dominant height model based on the FIDM data using Bayesian method,and predicted the stand dominant height in 2011,and 2013. Then we made the data fusion with systematic plots in 2011,2013. The results showed that the data fusion model performed well Hs = 9. 612 61n（Hp）-9. 374 （R^2 =0. 503 8）.