Now showing items 1-3 of 3

    • Predicting Growing Stock Volume of Eucalyptus Plantations Using 3-D Point Clouds Derived from UAV Imagery and ALS Data 

      Guerra Hernández, Juan; Cosenza, Diogo N.; Cardil, Adrián; Silva, Carlos Alberto; Botequim, Brigite; Soares, Paula; Silva, Margarida; González Ferreiro, Eduardo Manuel; Díaz Varela, Ramón Alberto (MDPI, 2019)
      Estimating forest inventory variables is important in monitoring forest resources and mitigating climate change. In this respect, forest managers require flexible, non-destructive methods for estimating volume and biomass. ...
    • Use of multi-temporal UAV-derived imagery for estimating individual tree growth in Pinus pinea stands 

      Guerra Hernández, Juan; González Ferreiro, Eduardo Manuel; Monleón, Vicente; Faias, Sonia; Tomé, Margarida; Díaz Varela, Ramón Alberto (MDPI, 2017)
      High spatial resolution imagery provided by unmanned aerial vehicles (UAVs) can yield accurate and efficient estimation of tree dimensions and canopy structural variables at the local scale. We flew a low-cost, lightweight ...
    • Using high resolution UAV imagery to estimate tree variables in Pinus pinea plantation in Portugal 

      Guerra Hernández, Juan; González Ferreiro, Eduardo Manuel; Sarmento, Alexandre; Silva, João; Nunes, Alexandra; Correia, Alexandra C.; Fontes, Luis; Tomé, Margarida; Díaz Varela, Ramón Alberto (Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), 2016)
      Aim of study: The study aims to analyse the potential use of lowcost unmanned aerial vehicle (UAV) imagery for the estimation of Pinus pinea L. variables at the individual tree level (position, tree height and crown ...

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