Allometry and UAV-based estimation of tree dimensions, volume and aboveground biomass of Eucalyptus robusta plantations in the central highlands of Madagascar

• Smallholder eucalyptus plantations lack species-specific biomass equations • Species-specific allometric models are calibrated for Eucalyptus robusta • UAV imagery enables efficient estimates of tree height and trunk circumference • UAV models offer rapid alternative for assessing stand structure and biomass In the central highlands of Madagascar, smallholder eucalyptus plantations play a crucial role in meeting the energy needs of households. However, these plantations remain poorly characterized due to a lack of species-specific allometric equations, which hampers the precise assessment of tree volume and aboveground biomass (AGB). Additionally, there is currently no accessible method for estimating biomass at the plot scale. Moreover, volume and biomass measurements at this scale still rely on traditional forest inventories – methods that are both time-consuming and labor-intensive. This study aimed to calibrate species-specific models for estimating tree volume, and stem and total AGB in smallholder Eucalyptus robusta plantations. Allometric models were calibrated using destructive biomass measurements on 40 trees during the first stand rotation (4 to 6 years old), including both fertilized and unfertilized plots. Furthermore, two methods for estimating volume, stem AGB and total AGB using unmanned aerial vehicle (UAV) imagery were developed and compared. Allometric models yielded satisfactory results for predicting volume and biomass, with relative Bias% ranging from 0.9 ± 1.2% to 4.7 ± 6.0% and normalized root mean square error (NRMSE) between 11.2 ± 3.5% and 20.6 ± 14.0%. UAV-based models also produced promising results for estimating tree height and circumference at breast height (CBH), with R² of 0.93 and 0.76, respectively. The most effective approach combined UAV-derived estimates of height and CBH with species-specific allometric models. This study provides robust species-specific models for estimating E. robusta volume and biomass and demonstrates the potential of UAV imagery for characterizing tree plantations in smallholder contexts.

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Publication Details

Journal
Trees Forests and People
Published
2026-04-26
DOI
https://doi.org/10.1016/j.tfp.2026.101279
Primary Topic
Remote Sensing and LiDAR Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Allometry and UAV-based estimation of tree dimensions, volume and aboveground biomass of Eucalyptus robusta plantations in the central highlands of Madagascar

Julien Sarron, Tantely Razafimbelo, Bruno Bordron, Iaviantsoa Ramanandraibe et al.
Trees Forests and People
Remote Sensing and LiDAR Applications
article

Allometry and UAV-based estimation of tree dimensions, volume and aboveground biomass of Eucalyptus robusta plantations in the central highlands of Madagascar

Julien Sarron, Tantely Razafimbelo, Bruno Bordron, Iaviantsoa Ramanandraibe, Jean-Pierre Bouillet
article en

Abstract

• Smallholder eucalyptus plantations lack species-specific biomass equations • Species-specific allometric models are calibrated for Eucalyptus robusta • UAV imagery enables efficient estimates of tree height and trunk circumference • UAV models offer rapid alternative for assessing stand structure and biomass In the central highlands of Madagascar, smallholder eucalyptus plantations play a crucial role in meeting the energy needs of households. However, these plantations remain poorly characterized due to a lack of species-specific allometric equations, which hampers the precise assessment of tree volume and aboveground biomass (AGB). Additionally, there is currently no accessible method for estimating biomass at the plot scale. Moreover, volume and biomass measurements at this scale still rely on traditional forest inventories – methods that are both time-consuming and labor-intensive. This study aimed to calibrate species-specific models for estimating tree volume, and stem and total AGB in smallholder Eucalyptus robusta plantations. Allometric models were calibrated using destructive biomass measurements on 40 trees during the first stand rotation (4 to 6 years old), including both fertilized and unfertilized plots. Furthermore, two methods for estimating volume, stem AGB and total AGB using unmanned aerial vehicle (UAV) imagery were developed and compared. Allometric models yielded satisfactory results for predicting volume and biomass, with relative Bias% ranging from 0.9 ± 1.2% to 4.7 ± 6.0% and normalized root mean square error (NRMSE) between 11.2 ± 3.5% and 20.6 ± 14.0%. UAV-based models also produced promising results for estimating tree height and circumference at breast height (CBH), with R² of 0.93 and 0.76, respectively. The most effective approach combined UAV-derived estimates of height and CBH with species-specific allometric models. This study provides robust species-specific models for estimating E. robusta volume and biomass and demonstrates the potential of UAV imagery for characterizing tree plantations in smallholder contexts.

Trees Forests and PeopleVol. 25
Centre de Coopération Internationale en Recherche Agronomique pour le Développement (FR), University of Antananarivo (MG), Université de Montpellier (FR), Institut Agro Montpellier (FR), University of Toamasina (MG), Ecologie fonctionnelle & biogéochimie des sols & des agro-systèmes (FR), Institut Agro Montpelier (FR), Centre National de la Recherche Appliquée au Developpement Rural (MG), Institut de Recherche pour le Développement (FR)
European Commission
Openalex Percentile: Top 16%
Remote Sensing and LiDAR Applications
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