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2026Forest Systems

Estimating tree height and timber volume in the Cerrado using UAV-based photogrammetry and digital canopy model

Tamilis R. Silva; Carlos E. L. Da Fonseca; Edson E. Sano; Roberto S. Ogata; Juliana B. C. N. Araújo; Mariane R. Ferreira; Carolina Arantes; José F. Ribeiro

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Abstract

Aim of study: This study aimed to estimate and compare the accuracy of tree height and timber volume of four Cerrado forest tree species using a digital canopy height model (CHM) derived from unmanned aerial vehicles (UAV)-based photogrammetric data and field height measurements. Area of study: The research was conducted on a rural property undergoing productive recovery with native tree species, located in the Central Plateau of the Cerrado biome, Brazil. Material and methods: A UAV equipped with a multispectral camera was used to acquire a digital CHM of the study area. This data was then compared to field measurements of diameter at breast height (DBH) and total height of 143 individual trees from four species: Anadenanthera colubrina (Vell.) Brenan, Astronium urundeuva (M. Allemão) Engl., Astronium fraxinifolium Schott., and Plathymenia reticulata Benth. Main results: The tree heights obtained from the UAV-based multispectral camera were statistically similar to those measured manually using a graduated ruler, showing a Pearson correlation coefficient of 0.81 and a root mean squared error (RMSE) of 1.22. The volume estimates showed an even higher correlation of 0.97 and an RMSE of 0.01. Research highlights: UAV-based photogrammetric data provides a fast and accurate method for estimating the height and volume of native Cerrado tree species, demonstrating its significant potential for application in forest inventories and management practices.

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Reference

Tamilis R. Silva; Carlos E. L. Da Fonseca; Edson E. Sano; Roberto S. Ogata; Juliana B. C. N. Araújo; Mariane R. Ferreira; Carolina Arantes; José F. Ribeiro. (2026). Estimating tree height and timber volume in the Cerrado using UAV-based photogrammetry and digital canopy model. Forest Systems. https://doi.org/10.5424/fs/2026352-20904

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