Study on Forest Biomass Estimation Method Based on CEBERS-WFI Remote Sensing Data

Abstract

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.

Key words: BP artificial neural network, CEBERS-WFI, forest biomass, estimation

CLC Number:

TP79
S718

XU Dengping, LI Hui, ZHI Changgui, HAN Aihui. Study on Forest Biomass Estimation Method Based on CEBERS-WFI Remote Sensing Data[J]. FOREST RESOURCES WANAGEMENT, 2010, 0(3): 104-109.

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Study on Forest Biomass Estimation Method Based on CEBERS-WFI Remote Sensing Data

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