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Modeling Biometric Attributes from Tree Height Using Unmanned Aerial Vehicles (UAV) in Natural Forest Stands
Modelación de atributos biométricos a partir de la altura del árbol usando vehículos aéreos no tripulados (VANT) en rodales de bosques naturales
DOI:
https://doi.org/10.15446/ing.investig.98945Keywords:
Allometric relationships, Individual tree variables, Unmanned aerial vehicle, DJI Phantom Multispectral (en)relaciones alométricas, variables de árboles individuales, vehículos aéreos no tripulados, DJI Phantom 4 Multiespectral (es)
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.
Este estudio estimó los atributos biométricos de árboles individuales a partir de la altura total estimada automáticamente mediante el uso de imágenes de vehículos aéreos no tripulados (VANT). Se llevó a cabo un experimento en un rodal de bosque natural en el norte de México utilizando un equipo multiespectral DJI P4 y análisis de regresión. Los resultados muestran que la altura total del árbol (TH) se estima con éxito a partir de imágenes de VANT, ya que la estimación automática de la altura total (THUV) alcanza un R2 = 0,95 y un RMSE = 0,36 m. En consecuencia, el THUV fue estadísticamente confiable para generar ecuaciones alométricas (R2 > 0,57) con respecto al modelo de altura del dosel (CH), el diámetro a la altura del pecho (DAP), el diámetro basal (BD), la biomasa superficial (AGB), el volumen (V) y el contenido de carbono (C). Lo que se concluye es que la estimación de altura total con VANT es una opción viable para mejorar la eficiencia en los inventarios forestales. Sin embargo, se requieren más esfuerzos orientados a la configuración de tecnologías modernas y algoritmos estadísticos; persisten los desafíos de la investigación futura, particularmente en las áreas boscosas más densas.
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Copyright (c) 2023 Geronimo Quiñonez-Barraza, Marin Pompa-García, Eduardo Daniel Vivar-Vivar, José Luis Gallardo-Salazar, Francisco Javier-Hernández, Felipa de Jesús Rodríguez-Flores, Raúl Solís-Moreno, Javier Leonardo Bretado-Velázquez, Ricardo David Valdez-Cepeda, José Ciro Hernández-Díaz
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