Framework of dynamic analysis and modelling forest above-ground biomass by multi-mode remote sensing information

doi:10.13466/j.cnki.lyzygl.2015.02.022

Abstract

Abstract: Forest dominates the global carbon cycle and forest above-ground biomas(ACB) has been the critica index for carbon seuestratio capaciy,the main parameler of cabhon budgel, he maleria basis for oher ecogical functions. However,any individual mehod such as fores-inventory -based mehod remooesensing-baned melhlod, lrobsovaron-baind method and clogicl-mooe mehod, canmon describ the forest AGB and its dynamic information eficienl.l In orler lo geneat uhe hih-prcision time-space-se-ries,physielcuanli sy nery forest AGB and is dynamic produces , this study proposes the new idea and methodology for improving the space-time series modeling forest AGB , that is , the framework of the remote sensing dynamic information model will be established by use of new -prototype and multi-mode remote sensing data and their products , by the knowledge of dynamic information of forest ecological process and the characteristics from various observation data ,and by data assimilation algorithm.

Key words: multi-mode remote sensing, forest above- ground biomass, dynamic analysis and modelling, data assimilation

CLC Number:

SHI Jun, TIANXin, YAN Min. Framework of dynamic analysis and modelling forest above-ground biomass by multi-mode remote sensing information[J]. FOREST RESOURCES WANAGEMENT, 2015, (2): 125-132.

References 40

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