Short Communication. Using high resolution UAV imagery to estimate tree variables in Pinus pinea plantation in Portugal

Short Communication. Using high resolution UAV imagery to estimate tree variables in Pinus pinea plantation in Portugal
QR Code

Short Communication. Using high resolution UAV imagery to estimate tree variables in Pinus pinea plantation in Portugal

Aim of study: The study aims to analyse the potential use of low‑cost unmanned aerial vehicle (UAV) imagery for the estimation of Pinus pinea L. variables at the individual tree level (position, tree height and crown diameter).Area of study: This study was conducted under the PINEA project focused o...

Full abstract

Saved in:
Journal Title: Forest Systems
Main Author: Juan Guerra Hernandez
Other Authors: Eduardo Gonzalez-Ferreiro;
Alexandre Sarmento;
João Silva;
Alexandra Nunes;
Alexandra Cristina Correia;
Luis Fontes;
Margarida Tomé;
Ramon Diaz-Varela
Palabras clave:
Language: English
Get full text: http://revistas.inia.es/index.php/fs/article/view/8895
Resource type: Journal article
Source: Forest Systems; Vol 25, No 2 (Year 2016).
DOI: http://dx.doi.org/10.5424/fs/2016252-08895
Publisher: Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria
Usage rights: Reconocimiento - NoComercial (by-nc)
Subjects: Sciences --> Environmental Sciences
Applied Sciences --> Forestry
Abstract: Aim of study: The study aims to analyse the potential use of low‑cost unmanned aerial vehicle (UAV) imagery for the estimation of Pinus pinea L. variables at the individual tree level (position, tree height and crown diameter).Area of study: This study was conducted under the PINEA project focused on 16 ha of umbrella pine afforestation (Portugal) subjected to different treatments.Material and methods: The workflow involved: a) image acquisition with consumer‑grade cameras on board an UAV; b) orthomosaic and digital surface model (DSM) generation using structure-from-motion (SfM) image reconstruction; and c) automatic individual tree segmentation by using a mixed pixel‑ and region‑based based algorithm.Main results: The results of individual tree segmentation (position, height and crown diameter) were validated using field measurements from 3 inventory plots in the study area. All the trees of the plots were correctly detected. The RMSE values for the predicted heights and crown widths were 0.45 m and 0.63 m, respectively.Research highlights: The results demonstrate that tree variables can be automatically extracted from high resolution imagery. We highlight the use of UAV systems as a fast, reliable and cost‑effective technique for small scale applications.Keywords: Unmanned aerial systems (UAS); forest inventory; tree crown variables; 3D image modelling; canopy height model (CHM); object‑based image analysis (OBIA), structure‑from‑motion (SfM).