Resumen

QUINONEZ-BARRAZAL, Gerónimo et al. Modeling Biometrie Attributes from Tree Height Using Unmanned Aerial Vehicles (UAV) in Natural Forest Stands. Ing. Investig. [online]. 2023, vol.43, n.2, pp.1-.  Epub 01-Abr-2024. ISSN 0120-5609.  https://doi.org/10.15446/ing.investig.98945.

This study estimated biometric attributes of individual trees from the automated measurement of tree height (THUV) by using images from unmanned aerial vehicles (UAVs). An experiment was carried out in a natural forest stand in the north of Mexico by using a DJI P4 multispectral equipment and regression analysis. The results show that total tree height (TH) is successfully estimated from UAV images, as the automated estimation of total height (THUV) reaches a R2 = 0,95 and a RMSE = 0,36 m. Consequently, THUV was statistically reliable to generate allometric equations (R2 > 0,57) regarding the canopy height model (CH), diameter at breast height (DBH), basal diameter (BD), above-ground biomass (AGB), volume (V), and carbon contents (C). It is concluded that the estimation of total height with UAVs is a viable option to improve efficiency in forest inventories. However, increased efforts towards the configuration of modern technologies and statistical algorithms are needed; future research challenges remain, particularly in the densest forests areas.

Palabras clave : allometric relationships; individual tree variables; unmanned aerial vehicle; DJI Phantom 4 Multispectral.

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