西南林业大学学报Issue(2)：55-62,8.DOI:10.11929/j.issn.2095-1914.2015.02.009
基于序列高斯协同模拟的多尺度区域森林碳密度空间分布估计
Multi-Scale Regional Forest Carbon Density Estimation Based on Sequential Gaussian Co-Simulation
摘要
Abstract
Based on Forest Inventory (plot)data in Xianju County,Zhejiang in 2008 and the Landsat TM im-age data collected in the same region in 2007 ,the above-ground forest carbon density and its distributions at 30 m ×30 mand 270 m ×270 m resolution was estimated and the results analyzed comparatively by applying se-quential gaussian co-simulation The results showed that the above-ground forest carbon density of Xianju County was continuously distributed,which was surrounded by high carbon density of forest land and the intermediate region was filled with the majority of low carbon density of non-forest land.The total carbon is 5 283 789.63Mg based on the estimation by rardomly sampling method.With the sequential gaussian co-simulation,the sum of the carbon is 5 692 875 .69 Mg and the square R of model is 0. 620 3 in 30 m ×30 m resolution.Comparing with the result in 270 m ×270 mresolution,the former total carbon is larger,the range of distribution is wider and the model′s pre-cision is higher.The result showed that sequential gaussian co-simulation which considers the spatial distribution of carbon density is closer to the estimation from the plot data,the carbon density distribution is more reasonable and <br> the ability to represent the continuous changes of carbon distribution is better.关键词
碳储量/碳密度/碳分布/序列高斯协同模拟/多尺度Key words
forest carbon storage/carbon density/carbon distribution/sequential gaussian co-simulation/mutli-scale分类
农业科技引用本文复制引用
沈高云,张茂震..基于序列高斯协同模拟的多尺度区域森林碳密度空间分布估计[J].西南林业大学学报,2015,(2):55-62,8.基金项目
国家自然科学基金项目（30972360）资助。 （）
