森林可燃物大样地抽样调查方法研究

Study of Sampling Survey Method for Forest Fuels Based on Large Plots

为满足森林可燃物遥感监测的需要,采用分层抽样方法设计了一套能够在典型区域主要森林类型中布设可燃物大样地的抽样方案。对每个大样地在林分型图斑区划的基础上,采用角规绕测、样方调查的方法对大样地内各层(乔木层、灌木层、草本层、枯落物层、腐殖质层)可燃物载量及其林分、地形等因素进行全面调查。探讨了采用统计学方法依据可燃物载量与林分因子、地形等因素建立可燃物载量遥感估算模型的可行性。研究表明,可燃物载量遥感估算可为区域尺度森林可燃物载量精准调查和动态监测提供有利的技术支撑。

In order to meet the needs of remote sensing monitoring of forest fuel loads,this study designed a sampling plan by using the stratified sampling method to set up large plots of forest fuels in the major forest types in typical areas.For each large plot,on the basis of the zoning of the forest stand type,the method of measuring around the angle and the quadratic survey was used to measure the fuel load of the various layers(e.g.,tree-,shrub-,herb-,litter-,and humus-layer)in the large sample plot.A comprehensive investigation was carried out on the plant load and other factors such as stand and topography characteristics.Finally,the feasibility of using statistical methods to establish a remote sensing prediction model of fuels load based on factors such as combustibles load and vegetation index was discussed.The research results can provide favorable technical support for the accurate investigation and dynamic monitoring of the forest fuel loads at the regional scale.