Artificial neural networks on integrated multispectral and SAR data for high-performance prediction of eucalyptus biomass

Getulio Fonseca Domingues,Vicente Paulo Soares,Helio Garcia Leite,Antônio Santana Ferraz,Carlos Antonio Alvares Soares Ribeiro,Alexandre Simões Lorenzon,Gustavo Eduardo Marcatti,Thaisa Ribeiro Teixeira,Nero Lemos Martins de Castro,Pedro Henrique Santos Mota,Guilherme Silverio Aquino de Souza,Sady Júnior Martins da Costa de Menezes,Alexandre Rosa dos Santos,Cibele Hummel do Amaral

Computers and Electronics in Agriculture（2020）

Cited 14|Views13

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Abstract

•Multispectral and SAR data can be used to estimate eucalyptus aboveground biomass.•Artificial neural networks is better suited to model biomass from multivariate data.•Optical-radar image combination have improved biomass estimates.•The RMSE% and R2 were 2.87 and 0.95 and an error dispersion ranging from −8% to 4%.

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Key words

Forest biomass,Synthetic aperture radar,Multispectral images,Machine learning

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