摘要
利用遥感数据结合地面调查建立模型是定量评价森林生物量、碳储量的重要手段.以遥感数据及G IS易于获取的地学因子为主要信息源,应用逐步回归方法选取与森林生物量相关的7个遥感及地学因子为自变量,利用地面样地每木胸径调查数据结合生物量相对生长式获取样地生物量作为因变量,建立多元回归模型用于估测森林生物量.森林碳储量通过森林生物量结合碳转换系数获取.经方差分析检验,模型达到极显著相关水平.研究结果表明,这一方法是获取较大尺度森林生物量、碳储量及其动态变化监测的有效方法.
Taking remote sensing data and geologic factors easily obtained by GIS as major information source, 7 factors selected by regressive equation related to forest biomass as independent variable, and breast diameter inventory data with sample plots＇ biomass as dependent variable, the author established a multi-regressive equation model to estimate forest biomass and carbon storage from forest biomass with carbon transformation index. The variance analysis showed that forest biomass model was correlated significantly. The model was effective for the estimating and monitoring of forest biomass ＆ carbon storage at a large scale.
出处
《林业调查规划》
2008年第3期11-13,共3页
Forest Inventory and Planning
基金
云南省重点建设专业--西南林学院林学专业资助
关键词
森林生物量
森林碳储量
遥感信息
估测模型
高黎贡山自然保护区
forest biomass
forest carbon storage
remote sensing information
estimate model
Gaoli-gongshan Nature Reserve
