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Analysis of the Influence of Plot Size and LiDAR Density on Forest Structure Attribute Estimates

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Analysis of the Influence of Plot Size and LiDAR Density on Forest Structure Attribute Estimates

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dc.contributor.author Ruiz Fernández, Luis Ángel es_ES
dc.contributor.author Hermosilla, T. es_ES
dc.contributor.author Mauro, Francisco es_ES
dc.contributor.author Godino, Miguel es_ES
dc.date.accessioned 2016-02-29T15:52:09Z
dc.date.available 2016-02-29T15:52:09Z
dc.date.issued 2014
dc.identifier.issn 1999-4907
dc.identifier.uri http://hdl.handle.net/10251/61252
dc.description Licencia Creative Commons: Attribution 3.0 Unported (CC BY 3.0) es_ES
dc.description.abstract This paper assesses the combined effect of field plot size and LiDAR density on the estimation of four forest structure attributes: volume, total biomass, basal area and canopy cover. A total of 21 different plot sizes were considered, obtained by decreasing the field measured plot radius value from 25 to 5 m with regular intervals of 1 m. LiDAR data densities were simulated by randomly removing LiDAR pulses until reaching nine different density values. In order to avoid influence of the digital terrain model spatial resolution, eight different resolutions were considered (from 0.25 to 2 m grid size) and tested. A set of per-plot LiDAR metrics was extracted for each parameter combination. Prediction models of forest attributes were defined using forward stepwise ordinary least-square regressions. Results show that the highest R 2 values are reached by combining large plot sizes and high LiDAR data density values. However, plot size has a greater effect than LiDAR point density. In general, minimum plot areas of 500–600 m2 are needed for volume, biomass and basal area estimates, and of 300–400 m2 for canopy cover. Larger plot sizes do not significantly increase the accuracy of the models, but they increase the cost of fieldwork. es_ES
dc.description.sponsorship The authors wish to thank the Spanish Ministry of Industry, Tourism and Trade, and the Spanish Ministry of Science and Innovation for the financial support provided in the framework of the projects InForest, and CGL2010-19591/BTE, respectively. en_EN
dc.language Inglés es_ES
dc.publisher MDPI AG, Basel, Switzerland es_ES
dc.relation info:eu-repo/grantAgreement/MICINN//CGL2010-19591/ES/DESARROLLO DE METODOLOGIAS INTEGRADAS PARA LA ACTUALIZACION DE BASES DE DATOS DE OCUPACION DEL SUELO/ es_ES
dc.relation.ispartof Forests es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Forest inventory es_ES
dc.subject LiDAR es_ES
dc.subject Plot size es_ES
dc.subject Data density es_ES
dc.subject Forest structure es_ES
dc.subject Forest attributes es_ES
dc.subject Remote sensing es_ES
dc.subject.classification INGENIERIA CARTOGRAFICA, GEODESIA Y FOTOGRAMETRIA es_ES
dc.title Analysis of the Influence of Plot Size and LiDAR Density on Forest Structure Attribute Estimates es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/f5050936
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Cartográfica Geodesia y Fotogrametría - Departament d'Enginyeria Cartogràfica, Geodèsia i Fotogrametria es_ES
dc.description.bibliographicCitation Ruiz Fernández, LÁ.; Hermosilla, T.; Mauro, F.; Godino, M. (2014). Analysis of the Influence of Plot Size and LiDAR Density on Forest Structure Attribute Estimates. Forests. 5(5):936-951. https://doi.org/10.3390/f5050936 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.3390/f5050936 es_ES
dc.description.upvformatpinicio 936 es_ES
dc.description.upvformatpfin 951 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 5 es_ES
dc.description.issue 5 es_ES
dc.relation.senia 267303 es_ES
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES


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