Abstract

Recent applications of digital photogrammetry in forestry have highlighted its utility as a viable mensuration technique. However, in tropical regions little research has been done on the accuracy of this approach for stem volume calculation. In this study, the performance of Structure from Motion photogrammetry for estimating individual tree stem volume in relation to traditional approaches was evaluated. We selected 30 trees from five savanna species growing at the periphery of the W National Park in northern Benin and measured their circumferences at different heights using traditional tape and clinometer. Stem volumes of sample trees were estimated from the measured circumferences using nine volumetric formulae for solids of revolution, including cylinder, cone, paraboloid, neiloid and their respective fustrums. Each tree was photographed and stem volume determined using a taper function derived from tri-dimensional stem models. This reference volume was compared with the results of formulaic estimations. Tree stem profiles were further decomposed into different portions, approximately corresponding to the stump, butt logs and logs, and the suitability of each solid of revolution was assessed for simulating the resulting shapes. Stem volumes calculated using the fustrums of paraboloid and neiloid formulae were the closest to reference volumes with a bias and root mean square error of 8.0% and 24.4%, respectively. Stems closely resembled fustrums of a paraboloid and a neiloid. Individual stem portions assumed different solids as follows: fustrums of paraboloid and neiloid were more prevalent from the stump to breast height, while a paraboloid closely matched stem shapes beyond this point. Therefore, a more accurate stem volumetric estimate was attained when stems were considered as a composite of at least three geometric solids.

Highlights

  • Accurate estimates of the volume of tree stems is essential for characterizing forest stands and managing forest resources (West 2015)

  • The negative bias obtained from the cone, neiloid, paraboloid and paracone formulae suggests that these solids underestimate stem volume

  • Stem segment volume from fustrums of neiloid and Huber’s formulae produced the lowest bias (8.0%) and root mean square error (RMSE) (20.4%) in relation to stem volumes computed by integrating surface area for 1 mm and 1 cm slices

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Summary

Introduction

Accurate estimates of the volume of tree stems is essential for characterizing forest stands and managing forest resources (West 2015). Obtaining accurate stem volumes of standing trees is difficult and time-consuming, given that stems are not perfect geometric shapes. This metric can be overestimated, especially for trees with irregularly shaped stems (Dean 2003; Bauwens et al 2017). The most common formulae for measuring stem volume are based on the product of the length of a stem segment and the weighted average of its cross-sectional area (West 2015). Newton’s formula, on the other hand, differs from Smalian’s by an additional cross-sectional area measured at the middle of the stem segment with a fourfold weight assigned to it

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