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Spatial distribution analysis of Lesser Khingan range forest biomass based on RS and GIS

机译:基于RS和GIS的较小磷岭林生物量的空间分布分析

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The quantitative estimation of forest biomass provides important reference information for global carbon storage and carbon cycle research. This study based on the four periods TM remote sensing data of 1970s, 1980s, 1990s and early 21st century and forest resources inventory sample data during the same period, with ArcGIS analyzed the forest biomass spatial distribution characteristics of Lesser Khingan Range, and acquired the forest biomass distribution law with elevation and slope change, the study results are important to maintain the ecological balance of the three northeast provinces of China. Research results shows that: in this study area with the increasing of elevation the forest biomass and distribution have a lesser proportion, the sequence of forest biomass distribution with slope change of each period from big to small is: slope class 1> slope class 2> slope class 3> slope class 4> slope class 5= slope class 6.
机译:森林生物量的定量估计为全球碳储存和碳循环研究提供了重要的参考信息。本研究基于20世纪70年代的四个时期TM遥感数据,20世纪80年代,1990年代和21世纪初和森林资源库存样本数据在同一时期,分析了森林生物量空间分布特征较小的番荔枝系列,并获得了森林生物质分布法具有升高和坡度变化,研究结果对维持中国东北三省的生态平衡很重要。研究结果表明:在这一研究领域随着森林生物量和分布的增加,森林生物量和分布的比例较小,森林生物质分布序列,每个时期的坡度变化从大到小的斜率为:斜坡第1类>斜坡等级2>斜率3级>斜率等级4>斜率类5 =斜率等级6。

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