| 基于CEBERS-WFI遥感数据的森林生物量估测方法研究 |
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| 引用本文： | 许等平,李晖,智长贵,韩爱惠.基于CEBERS-WFI遥感数据的森林生物量估测方法研究[J].林业资源管理,2010(3). |
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| 作者姓名： | 许等平 李晖 智长贵 韩爱惠 |
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| 作者单位： | 1. 国家林业局调查规划设计院,北京,100714
2. 国家林业局调查规划设计院,北京,100714;北京林业大学,省部共建森林培育与保护教育部重点实验室,北京,10083 |
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| 基金项目： | "十一五"国家科技支撑计划项目"森林资源监测技术研究" |
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| 摘 要： | 以中巴卫星CEBERS-WFI遥感数据为基础,结合东北三省的地理、气象因子及森林资源连续清查固定样地信息,构建BP人工神经网络森林生物量估测模型,对我国东北三省的森林生物量进行估测,并反演了森林生物量的空间分布图像。结果表明,基于CEBERS-WFI遥感数据的BP人工神经网络应用于森林生物量估测简单实用,是一种快捷、有效的估测方法。
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| 关 键 词： | BP人工神经网络 CEBERS-WFI 森林生物量 估测 |
Study on Forest Biomass Estimation Method Based on CEBERS-WFI Remote Sensing Data |
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| XU Dengping,LI Hui,ZHI Changgui,HAN Aihui.Study on Forest Biomass Estimation Method Based on CEBERS-WFI Remote Sensing Data[J].Forest Resources Management,2010(3). |
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| Authors: | XU Dengping LI Hui ZHI Changgui HAN Aihui |
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| Abstract: | Based on CEBERS-WFI remote sensing data,combined with the geographical and weather factors and NFI fixed sample plot measurement data of the three northeastern provinces,BP artificial neural network model for estimation of forest biomass for China's three northeastern provinces was developed and the remote sensing data based spatial distribution forest biomass image produced.The results showed that CEBERS-WFI BP artificial neural network is a quick and effective method for forest biomass estimation. |
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| Keywords: | CEBERS-WFI |
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