Comparison of ALS based models for estimating aboveground biomass in three types of Mediterranean forest

Simple item page
dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Enxeñaría Agroforestalgl
dc.contributor.areaÁrea de Enxeñaría e Arquitectura
dc.contributor.authorGörgens, Eric B
dc.contributor.authorGarcía-Gutiérrez, Jorge
dc.contributor.authorGuerra Hernández, Juan
dc.contributor.authorEstraviz Rodriguez, Luiz Carlos
dc.contributor.authorTomé, Margarida
dc.contributor.authorGonzález Ferreiro, Eduardo
dc.date.accessioned2017-10-19T11:32:45Z
dc.date.available2017-10-19T11:32:45Z
dc.date.issued2017-02-17
dc.description.abstractThis study aimed to develop ALS-based models for estimating stem, crown and aboveground biomass in three types of Mediterranean forest, based on low density ALS data. Two different modelling approaches were used: (i) linear models with different variable selection methods (Stepwise Selection [SS], Clustering/Exhaustive search [CE] and Genetic Algorithm [GA]), and (ii) previously Published Models (PM) applicable to diverse types of forest. Results indicated more accurate estimations of biomass components for pure Pinus pinea L. (rRMSE = 25.90-26.16%) than for the mixed (30.86-36.34%) and Quercus pyrenaica Willd. forests (32.78-34.84%). All the tested approaches were valuable, but SS and GA performed better than CE and PM in most cases.gl
dc.description.peerreviewedSIgl
dc.description.sponsorshipThe study was supported by the ForEadapt project ‘Knowledge exchange between Europe and America on forest growth models and optimization for adaptive forestry’ (PIRSES-GA-2010-269257). The authors thank (i) the foresters of the Extremadura Forest Service for assistance with data collection, (ii) the Portuguese Science Foundation (SFRH/BD/52408/2013) for funding the research activities of Juan Guerra and (iii) the Galician Government and European Social Fund (Official Journal of Galicia – DOG nº 52, 17/03/2014 p. 11343, exp: POS-A/2013/049) for funding the postdoctoral research stays of Eduardo González-Ferreiro and iv) the anonymous Reviewers of the European Journal of Remote Sensing for their helpful feedback. The research was carried out in the Centro de Estudos Florestais: a research unit funded by Fundação para a Ciência e a Tecnologia (Portugal) within UID/AGR/00239/2013.gl
dc.identifier.citationJuan Guerra-Hernández, Eric Bastos Görgens, Jorge García-Gutiérrez, Luiz Carlos Estraviz Rodriguez, Margarida Tomé & Eduardo González-Ferreiro (2016) Comparison of ALS based models for estimating aboveground biomass in three types of Mediterranean forest, European Journal of Remote Sensing, 49:1, 185-204gl
dc.identifier.doi10.5721/EuJRS20164911
dc.identifier.issn2279-7254
dc.identifier.urihttp://hdl.handle.net/10347/15865
dc.language.isoenggl
dc.publisherTaylor & Francisgl
dc.relation.projectIDinfo:eu-repo/grantAgreement/FCT/SFRH/SFRH%2FBD%2F52408%2F2013/PT
dc.relation.projectIDinfo:eu-repo/grantAgreement/FCT/5876/147339/PT
dc.relation.publisherversionhttp://dx.doi.org/10.5721/EuJRS20164911gl
dc.rights© 2016 by the authors; licensee Italian Society of Remote Sensing (AIT). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/)gl
dc.rights.accessRightsopen accessgl
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectBiomass componentsgl
dc.subjectRemote Sensinggl
dc.subjectAirborne laser scanninggl
dc.subjectMediterranean Forestgl
dc.subjectFeature selection approachesgl
dc.subject.classificationMaterias::Investigación::31 Ciencias agrariasgl
dc.titleComparison of ALS based models for estimating aboveground biomass in three types of Mediterranean forestgl
dc.typejournal articlegl
dc.type.hasVersionVoRgl
dspace.entity.typePublication
relation.isAuthorOfPublication997be1f3-8302-453d-aa81-9ec9778502ea
relation.isAuthorOfPublication.latestForDiscovery997be1f3-8302-453d-aa81-9ec9778502ea

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
2016_EuropeanJorunalofRemote_GuerraHernandez_ComparisonofALSbased.pdf
Size:
2.95 MB
Format:
Adobe Portable Document Format
Description:
Download

Collections

Enxeñaría Agroforestal
UXAFORES