Position: Home > Articles > Modelling Framework and Dynamic Analysis of Forest Above-ground Biomass by Multi-mode Remote Sensing
Forest Resources Management
2015
(2)
118-124
森林地上生物量多模式遥感信息动态分析及建模框架
作 者：
师君;田昕;闫敏
单 位：
国家林业局调查规划设计院;中国林业科学研究院资源信息研究所
关键词：
多模式遥感;森林地上生物量;动态分析及建模;数据同化
摘 要：
森林控制着全球碳循环的动态,而森林地上生物量是固碳能力的重要标志,是评估森林碳收支的重要参数,是系统发挥其它生态功能的物质基础。基于任何单一的方法,如森林资源清查资料方法、遥感模型反演方法、通量观测法以及生态模型方法等均无法高效地刻画森林地上生物量及其动态变化信息。基于此,提出改进森林地上生物量估测精度的时空连续性的新思路和新方法,即基于已有的多模式遥感数据及产品、森林生态过程时空动态知识和各种地面连续观测数据提取的时空动态特征,采用同化算法进行遥感信息动态建模,生成高精度、时空连续、物理量一致的森林地上生物量及其动态变化产品。
译 名：
Modelling Framework and Dynamic Analysis of Forest Above-ground Biomass by Multi-mode Remote Sensing
作 者：
SHI Jun;TIAN Xin;YAN Min;Academy of Forestry Inventory and Planning,State Forestry Administration;Research Institute of Forest Resource Information Techniques,Chinese Academy of Forestry;
关键词：
multi-mode remote sensing,forest above-ground biomass,dynamic analysis and modelling,data assimilation
摘 要：
Forest dominates the global carbon cycle and forest above-ground biomass( AGB) has been the critical index for carbon sequestration capacity. It is the main parameter of carbon budget and the basis for other ecological functions. However,any individual method such as forest-inventory-based method,remotesensing-based method,flux-observation-based method and ecological-model method cannot describe the forest AGB and its dynamic information efficiently. New method is proposed to generate high resolution and consecutive AGB evalution data and dynamically construct R. S. models by assimilation algorithm.
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