4.7 Article

Estimation of wood volume and height of olive tree plantations using airborne discrete-return LiDAR data

Journal

GISCIENCE & REMOTE SENSING
Volume 51, Issue 1, Pages 17-29

Publisher

TAYLOR & FRANCIS LTD
DOI: 10.1080/15481603.2014.883209

Keywords

remote sensing; biometrics; digital terrain model; dendrometry

Funding

  1. Spanish Ministerio de Ciencia e Innovacion (Ministry for Science Innovation) [AGL2010-15334]
  2. Vice-Rectorate for Research of the Universitat Politecnica de Valencia [PAID-06-12-3297, SP20120534]

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The aim of this study is to analyze methodologies based on airborne LiDAR (light detection and ranging) technology of low pulse density points (0.5m(-2)) for height and volume quantification of olive trees in Viver (Spain). A total of 29 circular plots, each with a radius of 20m, were sampled and their volumes and heights were obtained by dendrometric methods. For these estimations, several statistics derived from LiDAR data were calculated in each plot. Regression models were used to predict volume and height. The results showed good performance for estimating volume (R-2=0.70) and total height (R-2=0.67).

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