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

被引：0

作者：

Mohsin, Ahmad Farid ^{[1
]}

Suratman, Mohd Nazip ^{[1
,2
]}

机构：

[1] Univ Teknol MARA Selangor, Fac Appl Sci, Shah Alam 40450, Selangor, Malaysia

[2] Univ Teknol MARA Selangor, Inst Biodivers & Sustainable Dev, Shah Alam 40450, Selangor, Malaysia

来源：

ENVIRONMENT-BEHAVIOUR PROCEEDINGS JOURNAL | 2024年 / 9卷

关键词：

Forest plantations; Above ground biomass (AGB); Eucalyptus grandis; Eucalytus pe l ita; predictive models; WorldView-2; THEMATIC MAPPER; VOLUME ESTIMATION; STAND VOLUME; FOREST;

D O I：

10.21834/e-bpj.v8iSI17.5455

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

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

引用

页码：485 / 492

页数：8

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