面向森林蓄积量调查的空间抽样方法  

Spatial Sampling Method for Forest Stock Survey

作　　者：王强 舒清态 罗洪斌 Wang Qiang;Shu Qingtai;Luo Hongbin(Yunnan Provincial Forestry Double Center,Kunming 650299,Yunnan,China;College of Forestry,Southwest Forestry University,Kunming 650224,Yunnan,China)

机构地区：[1]云南省林业双中心,云南昆明650224 [2]西南林业大学林学院,云南昆明650224

出　　处：《绿色科技》2024年第11期82-89,共8页Journal of Green Science and Technology

摘　　要：全面、科学地掌握森林蓄积量在维持生态平衡方面有着重要意义。基于240个角规控制样地数据和Landsat8影像,分别拟合蓄积量、遥感辅助变量以及两者的交叉变异函数最优模型,以蓄积量空间变异尺度为网格间距设计一种样本独立的空间抽样方法,并与3种传统抽样方法(简单随机抽样、系统抽样、分层抽样)对比分析。结果表明:森林蓄积量的空间变异尺度为7200 m,超出7200 m范围后,两样点间相互独立,不再有空间相关性;拟合的遥感辅助变量变异尺度为6600 m、蓄积量和遥感辅助变量的交叉变异函数的变异尺度为6900 m,与森林蓄积量的变异尺度较为接近。在保证抽样精度的条件下,相较于3种传统抽样方法,空间抽样仅需129个样本便能使抽样精度达到89.46%,样本数量远远少于传统抽样方法样本数量(246个)。在没有充足的样地数据分析森林蓄积量变异函数结构的情况下,可采用少量实测样地结合遥感因子的方法分析蓄积量的空间变异尺度,基于变异尺度的空间抽样方法有效减少了样本信息冗余,样点设计在空间布局上更加高效、合理,代表性更强,研究结果可为森林蓄积量的抽样调查设计提供参考。Comprehensive and scientific control of forest stock is of great significance in maintaining the ecological balance.Based on 240 Angle gauge control sample data and Landsat8 images,the optimal model of the storage volume,remote sensing auxiliary variables and cross-variance function of the two were fitted respectively.A sample independent spatial sampling method was designed using the spatial variation scale of the storage volume as the grid spacing.It was compared with three traditional sampling methods(simple random sampling,systematic sampling and stratified sampling).The spatial variation scale of forest stock is 7200 m.Beyond the range of 7200 m,the two points are independent of each other and no longer have spatial correlation;the variation scale of remote sensing auxiliary variables is 6600 m,and the variation scale of cross variation function of stock and remote sensing auxiliary variables is 6900 m,which is close to the variation scale of forest stock.Under the condition of ensuring the sampling accuracy,compared with the three traditional sampling methods,the spatial sampling can only take 129 samples to make the sampling accuracy reach 89.46%,and the number of samples is far less than the number of the traditional sampling method(246).In the absence of sufficient sample data analysis of forest stock variation function structure,a small amount of measured sample analysis of the spatial variation scale,spatial sampling method based on variation scale effectively reduce the sample information redundancy.Sample in spatial layout design is more efficient,reasonable and more representative.The results can provide a reference for the sampling survey of forest stock design.

关 键 词：空间抽样 变异函数 森林蓄积量 Landsat8/OLI 

分 类 号：S757.2[农业科学—森林经理学]