Journal
GISCIENCE & REMOTE SENSING
Volume 51, Issue 1, Pages 17-29Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/15481603.2014.883209
Keywords
remote sensing; biometrics; digital terrain model; dendrometry
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Funding
- Spanish Ministerio de Ciencia e Innovacion (Ministry for Science Innovation) [AGL2010-15334]
- 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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