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Modelling stand biomass fractions in Galician Eucalyptus globulus plantations by use of different LiDAR pulse densities


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dc.creator González Ferreiro, Eduardo es
dc.creator Miranda, David es
dc.creator Barreiro Fernández, L. es
dc.creator Bujan, S. es
dc.creator García Gutiérrez, Jorge es
dc.creator Dieguez Aranda, U. es 2016-11-25T10:06:32Z 2016-11-25T10:06:32Z 2013
dc.identifier.citation González Ferreiro, E., Miranda, D., Barreiro Fernández, L., Bujan, S., García Gutiérrez, J. y Dieguez Aranda, U. (2013). Modelling stand biomass fractions in Galician Eucalyptus globulus plantations by use of different LiDAR pulse densities. Forest Systems, 22 (3), 510-525.
dc.identifier.issn 2171-5068 es
dc.description.abstract Aims of study: To evaluate the potential use of canopy height and intensity distributions, determined by airborne LiDAR, for the estimation of crown, stem and aboveground biomass fractions. To assess the effects of a reduction in LiDAR pulse densities on model precision. Area of study: The study area is located in Galicia, NW Spain. The forests are representative of Eucalyptus globulus stands in NW Spain, characterized by low-intensity silvicultural treatments and by the presence of tall shrub. Material and methods: Linear, multiplicative power and exponential models were used to establish empirical relationships between field measurements and LiDAR metrics. A random selection of LiDAR returns and a comparison of the prediction errors by LiDAR pulse density factor were performed to study a possible loss of fit in these models. Main results: Models showed similar goodness-of-fit statistics to those reported in the international literature. R2 ranged from 0.52 to 0.75 for stand crown biomass, from 0.64 to 0.87 for stand stem biomass, and from 0.63 to 0.86 for stand aboveground biomass. The RMSE/MEAN · 100 of the set of fitted models ranged from 17.4% to 28.4%. Models precision was essentially maintained when 87.5% of the original point cloud was reduced, i.e. a reduction from 4 pulses m–2 to 0.5 pulses m–2. Research highlights: Considering the results of this study, the low-density LiDAR data that are released by the Spanish National Geographic Institute will be an excellent source of information for reducing the cost of forest inventories. es
dc.format application/pdf es
dc.language.iso eng es
dc.publisher INIA es
dc.relation.ispartof Forest Systems, 22 (3), 510-525.
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 Internacional *
dc.rights.uri *
dc.subject Eucalypt plantations es
dc.subject airborne laser scanning es
dc.subject aboveground biomass es
dc.subject carbon stocks es
dc.subject remote sensing es
dc.subject forest inventory es
dc.title Modelling stand biomass fractions in Galician Eucalyptus globulus plantations by use of different LiDAR pulse densities es
dc.type info:eu-repo/semantics/article es
dc.type.version info:eu-repo/semantics/publishedVersion es
dc.rights.accessrights info:eu-repo/semantics/openAccess es
dc.contributor.affiliation Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos es
dc.relation.publisherversion es
dc.identifier.doi 10.5424/fs/2013223-03878 es
idus.format.extent 16 es
dc.journaltitle Forest Systems es
dc.publication.volumen 22 es
dc.publication.issue 3 es
dc.publication.initialPage 510 es
dc.publication.endPage 525 es
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