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

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.