Modelling the Above-Ground Biomass (AGB) of Eucalyptus Plantations using WorldView-2 Imagery in Sabah, Malaysia

Ahmad Farid Mohsin; Mohd Nazip Suratman

doi:10.21834/e-bpj.v9iSI17.5455

Authors

Ahmad Farid Mohsin Faculty if Applied Sciences, Universiti Teknologi MARA Selangor, 40450 Shah Alam, Selangor, Malaysia
Mohd Nazip Suratman Faculty if Applied Sciences, Universiti Teknologi MARA Selangor, 40450 Shah Alam, Selangor, Malaysia; Institute for Biodiversity and Sustainable Development, Universiti Teknologi MARA Selangor, 40450 Shah Alam, Selangor, Malaysia

DOI:

https://doi.org/10.21834/e-bpj.v9iSI17.5455

Keywords:

Forest Plantations, Above Ground Biomass (AGB) , Eucalyptus Grandis , Eucalytus Pellita, Predictive Models , WorldView-2

Abstract

Forest plantations are established not only to provide supply of demands, but also to help mitigate climate change. Satellite remote sensing can be used to estimate above ground biomass (AGB). This study was conducted in Eucalyptus plantations in Sabah, Malaysia. Satellite images from WorldView-2 were acquired as primary data. Allometric functions were used to calculate the AGB. The individual bands and vegetation indices were used as predictor variables. From the analysis, the ‘best’ predictive model for AGB was . The predictive model recorded an I²=0.71, RMSE=0.44 tha^-1and p=0.001. The predicted AGB ranged from 4 to 225 tha^-1.

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