Accuracy of common stem volume formulae using terrestrial photogrammetric point clouds: a case study with savanna trees in Benin

被引:4
|
作者
Akpo, Hospice A. [1 ]
Atindogbe, Gilbert [1 ]
Obiakara, Maxwell C. [2 ]
Adjinanoukon, Arios B. [1 ]
Gbedolo, Madai [1 ]
Fonton, Noel H. [1 ]
机构
[1] Univ DAbomey Calavi, FSA, Lab Etud & Rech Stat & Biometrie Appliquee, 01 BP 526, Cotonou, Benin
[2] Univ Ibadan, Dept Bot, Ecol Unity, Ibadan 20084, Nigeria
关键词
Structure from motion photogrammetry; Point cloud data; Stem volume; Savanna species; Benin; HAND-HELD CAMERA; FROM-MOTION PHOTOGRAMMETRY; CLOSE-RANGE PHOTOGRAMMETRY; TAPER; RECONSTRUCTION; SOFTWARE; HEIGHT;
D O I
10.1007/s11676-021-01333-9
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
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.
引用
收藏
页码:2415 / 2422
页数:8
相关论文
共 5 条
  • [1] Accuracy of common stem volume formulae using terrestrial photogrammetric point clouds:a case study with savanna trees in Benin
    Hospice A.Akpo
    Gilbert Atindogbé
    Maxwell C.Obiakara
    Arios B.Adjinanoukon
    Mada? Gbedolo
    No?l H.Fonton
    Journal of Forestry Research, 2021, 32 (06) : 2415 - 2422
  • [2] Accuracy of common stem volume formulae using terrestrial photogrammetric point clouds: a case study with savanna trees in Benin
    Hospice A. Akpo
    Gilbert Atindogbé
    Maxwell C. Obiakara
    Arios B. Adjinanoukon
    Madaï Gbedolo
    Noël H. Fonton
    Journal of Forestry Research, 2021, 32 : 2415 - 2422
  • [3] Updating residual stem volume estimates using ALS-and UAV-acquired stereo-photogrammetric point clouds
    Goodbody, Tristan R. H.
    Coops, Nicholas C.
    Tompalski, Piotr
    Crawford, Patrick
    Day, Ken J. K.
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2017, 38 (8-10) : 2938 - 2953
  • [4] Stem quality assessment using terrestrial laser scanning technology: a case study of ash trees with a range of defects in two stands in Ireland
    Mengesha, Taye
    Hawkins, Michael
    Tarleton, Mark
    Nieuwenhuis, Maarten
    SCANDINAVIAN JOURNAL OF FOREST RESEARCH, 2015, 30 (07) : 605 - 616
  • [5] MATLAB Virtual Toolbox for Retrospective Rockfall Source Detection and Volume Estimation Using 3D Point Clouds: A Case Study of a Subalpine Molasse Cliff
    Carrea, Dario
    Abelian, Antonio
    Derron, Marc-Henri
    Gauvin, Neal
    Jaboyedoff, Michel
    GEOSCIENCES, 2021, 11 (02) : 1 - 19