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Design and Implementation of Multi-factor Aided Spatial Interpolation Software Tool for Forest Biomass

文献类型： 会议论文

第一作者： Wei Sun

作者： Wei Sun 1 ; Shanshan Cao 2 ; Fantao Kong 2 ; Jifang Liu 2 ;

作者机构： 1.Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing, China|College of Computer and Information Engineering, Xinjiang Agricultural University, Urumqi, China

2.Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing, China

关键词： Interpolation;Biological system modeling;Software algorithms;Fitting;Estimation;Forestry;Data models

会议名称： International Conference on Sensors, Electronics and Computer Engineering

主办单位：

页码： 1107-1111

摘要： Forest biomass could quantify the complex relationship between the change of forest carbon storage and the carbon cycle in the environment. The accurate estimation results of forest biomass are the basis for the analysis and evaluation of forest ecosystem structure, function, quality and benefit. The distribution of forest biomass is the result of the interaction of structural factors and random factors. A typical data flow processing framework had been adopted, and a new ecological tool: Multi-factor assisted forest biomass spatial interpolation software tool (MFA-SIS) had been designed and implemented. The MFA-SIS had implemented complex algorithm logic in the underlying code, and simplified the pre-processing process of multi-factor assisted modeling data and forest biomass sample data. And the visualization interface could provide a good software module for forest biomass estimation that is easy to learn, practical and has great application potential, and provide a good underlying model algorithm tool support for the "double carbon" strategy proposed by China.

分类号： tp3-53

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