Estimation of cross-sectional areas of individual tree stems using remotely collected data
Gabriel Lessa Lavagnoli , Gilson Fernandes da Silva , Giovanni Correia Vieira , André Quintão Almeida , Adriano Ribeiro de Mendonça , Carlos Pedro Boechat Soares
Journal of Forestry Research ›› 2025, Vol. 36 ›› Issue (1) : 118
Estimation of cross-sectional areas of individual tree stems using remotely collected data
We investigated the impact of convexity and isoperimetric deficits on the accuracy of sectional area estimates of tree stems using traditional methods (caliper, tape, formulas based on stem diameter and circumference). In two complementary experiments, the use of photographs to estimate cross-sectional areas was first validated, then the use of a caliper and diameter tape was computer-simulated. The results indicated that the photographic method offers high precision, with mean relative errors below 0.1%, minimal deviation, and no significant bias, and the traditional methods led to substantial and systematic errors, with deviations from circularity and convexity significantly increasing the errors in area estimation.
Corresponding editor: Tao Xu.
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
Tree cross-sectional area measurement / Isoperimetric deficit / Convexity deficit / Photographic estimation / Forest mensuration / Stem geometry / Error analysis
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