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

Datum der Publikation: 2016

Ausgabe: 25

Nummer: 2

Seiten: 16

Art: Artikel

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

Andere Publikationen in: Forest systems


Zitate erhalten

  • Zitate in Scopus: 48 (16-03-2023)
  • Zitate in Dialnet Metriken: 1 (24-02-2023)
  • Zitate in 'Web of Science': 46 (20-03-2023)

JCR (Journal Impact Factor)

  • Jahr 2016
  • Impact Factor der Zeitschrift: 0.893
  • Impact Factor ohne Selbstzitierung: 0.848
  • Article influence score: 0.269
  • Höchstes Quartil: Q3
  • Bereich: FORESTRY Quartil: Q3 Position im Bereich: 38/64 (Ausgabe: SCIE)

SCImago Journal Rank

  • Jahr 2016
  • Impact SJR der Zeitschrift: 0.434
  • Höchstes Quartil: Q2
  • Bereich: Soil Science Quartil: Q2 Position im Bereich: 56/143
  • Bereich: Forestry Quartil: Q2 Position im Bereich: 52/165
  • Bereich: Ecology, Evolution, Behavior and Systematics Quartil: Q3 Position im Bereich: 345/648

Scopus CiteScore

  • Jahr 2016
  • CiteScore der Zeitschrift: 1.7
  • Bereich: Forestry Perzentil: 67
  • Bereich: Soil Science Perzentil: 50
  • Bereich: Ecology, Evolution, Behavior and Systematics Perzentil: 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  

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