Using high resolution UAV imagery to estimate tree variables in Pinus pinea plantation in PortugalShort Communication

  1. Juan Guerra Hernandez
  2. Eduardo González Ferreiro
  3. Alexandre Sarmento
  4. João Silva
  5. Alexandra Nunes
  6. Alexandra Cristina Correia
  7. Luis Fontes
  8. Maria Margarida Branco de Brito Tavares Tomé
  9. Ramón Alberto Díaz Varela
Forest systems

ISSN: 2171-5068

Ano de publicación: 2016

Volume: 25

Número: 2

Páxinas: 16

Tipo: Artigo

DOI: 10.5424/FS/2016252-08895 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

Outras publicacións en: Forest systems


Citas recibidas

  • Citas en Scopus: 48 (16-03-2023)
  • Citas en Dialnet Métricas: 1 (24-02-2023)
  • Citas en Web of Science: 46 (20-03-2023)

JCR (Journal Impact Factor)

  • Ano 2016
  • Factor de impacto da revista: 0.893
  • Factor de impacto sen autocitas: 0.848
  • Article influence score: 0.269
  • Cuartil maior: Q3
  • Área: FORESTRY Cuartil: Q3 Posición na área: 38/64 (Edición: SCIE)

SCImago Journal Rank

  • Ano 2016
  • Impacto SJR da revista: 0.434
  • Cuartil maior: Q2
  • Área: Soil Science Cuartil: Q2 Posición na área: 56/143
  • Área: Forestry Cuartil: Q2 Posición na área: 52/165
  • Área: Ecology, Evolution, Behavior and Systematics Cuartil: Q3 Posición na área: 345/648

Scopus CiteScore

  • Ano 2016
  • CiteScore da revista: 1.7
  • Área: Forestry Percentil: 67
  • Área: Soil Science Percentil: 50
  • Área: Ecology, Evolution, Behavior and Systematics Percentil: 43


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). ERRATUM PDF  

Referencias bibliográficas

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