基于CBERS-02B数据的森林三维绿量测算

Estimation of Tridimensional Green Biomass based on CBERS-02B remote sensing image

【目的】以北京市密云县为研究对象,提出基于CBERS-02B数据的三维绿量测算方法。【方法】利用皮尔森相关系数分析地面样地三维绿量和遥感特征的相关性,并在密云县植被覆盖分类的基础上,分林型(阔叶林和针叶林)建立三维绿量测算模型。利用模型进行密云县森林植被三维绿量的反演,测算密云县三维绿量总量并分析其三维绿量的分布特征。【结果】建立了密云县阔叶林、针叶林三维绿量模型,其决定系数R2分别为0.724和0.735,总体精度为80.38%,单位面积均方根误差RMSE为1.41m3/m2,密云县三维绿量为523 561.516万m3,单位面积绿量为2.35m3/m2。【结论】基于CBERS-02B数据的森林三维绿量测算方法可行。

【Objective】Taking Miyun county as the research object,this study proposed a method to estimate Tridimensional Green Biomass （TGB） based on China-Brazil Earth Resource Satellite-2 （CBERS-02） image.【Method】Sub-species regression models of TGB for different forest types （broad-leaved and coniferous forests） based on classification of vegetation in Miyun County were established by analyzing the relationship of the TGB of the ground sample and remote sensing characteristics using Person correlation coefficient.The models were used to inverse TGB in Miyun County,estimate the total TGB,and analyze its distribution characteristics.【Result】The determination coefficient （R2） of models for broad-leaved forest and coniferous forest were 0.724 and 0.735 with an overall accuracy of 80.38% and a root mean square deviation per unit area of 1.41 m3/m2.The predicted total amount of TGB and per unit area TGB in Miyun County were 5 235 615 160 m3, and 2.35 m3/m2,respectively.【Conclusion】The CBERS-02B image based models for TGB estimation was feasible.