dc.creator | Navarro Cerrillo, Rafael M. | es |
dc.creator | González Ferreiro, Eduardo | es |
dc.creator | García Gutiérrez, Jorge | es |
dc.creator | Ceacero Ruiz, Carlos J. | es |
dc.creator | Hernández Clemente, Rocío | es |
dc.date.accessioned | 2022-12-12T09:34:07Z | |
dc.date.available | 2022-12-12T09:34:07Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Navarro Cerrillo, R.M., González Ferreiro, E., García Gutiérrez, J., Ceacero Ruiz, C.J. y Hernández Clemente, R. (2017). Impact of plot size and model selection on forest biomass estimation using airborne LiDAR: A case study of pine plantations in southern Spain. Journal of Forest Science, 63 (2), 88-97. https://doi.org/10.17221/86/2016-JFS. | |
dc.identifier.issn | 1212-4834 | es |
dc.identifier.uri | https://hdl.handle.net/11441/140302 | |
dc.description.abstract | We explored the usefulness of LiDAR for modelling and mapping the stand biomass of two conifer species in southern Spain.
We used three different plot sizes and two statistical approaches (i.e. stepwise selection and genetic algorithm selection) in
combination with multiple linear regression models to estimate biomass. 43 predictor variables derived from discrete-return
LiDAR data (4 pulses per m2
) were used for estimating the forest biomass of Pinus sylvestris Linnaeus and Pinus nigra Arnold
forests. Twelve circular plots – six for each species – and three different fixed-radius designs (i.e. 7, 15, and 30 m) were estab lished within the range of the airborne LiDAR. The Bayesian information criterion and R2
were used to select the best models.
As expected, the models that included the largest plots (30 m) yielded the highest R2
value (0.91) for Pinus sp. using genetic
algorithm models. Considering P. sylvestris and P. nigra models separately, the genetic algorithm approach also yielded the
highest R2
values for the 30-m plots (P. nigra: R2 = 0.99, P. sylvestris: R2
= 0.97). The results we obtained with two species and
different plot sizes revealed that increasing the size of plots from 15 to 30 m had a low effect on modelling attempts. | es |
dc.description.sponsorship | European Commission (EC) FP7-315165 | es |
dc.description.sponsorship | Ministerio de Economía, Industria y Competitividad QUERCUSAT (CLG2013-40790-R) | es |
dc.format | application/pdf | es |
dc.format.extent | 10 | es |
dc.language.iso | eng | es |
dc.publisher | Czech Academy of Agricultural Sciences (CAAS) | es |
dc.relation.ispartof | Journal of Forest Science, 63 (2), 88-97. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Airborne laser scanning | es |
dc.subject | Forest inventory | es |
dc.subject | Regression | es |
dc.subject | Survey design | es |
dc.subject | Genetic selection methods | es |
dc.subject | Pinus sp | es |
dc.title | Impact of plot size and model selection on forest biomass estimation using airborne LiDAR: A case study of pine plantations in southern Spain | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
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.projectID | FP7-315165 | es |
dc.relation.projectID | QUERCUSAT (CLG2013-40790-R) | es |
dc.relation.publisherversion | https://www.agriculturejournals.cz/web/jfs.htm?volume=63&firstPage=88&type=publishedArticle | es |
dc.identifier.doi | 10.17221/86/2016-JFS | es |
dc.contributor.group | Universidad de Sevilla. TIC-134: Sistemas Informáticos | es |
dc.journaltitle | Journal of Forest Science | es |
dc.publication.volumen | 63 | es |
dc.publication.issue | 2 | es |
dc.publication.initialPage | 88 | es |
dc.publication.endPage | 97 | es |
dc.contributor.funder | European Commission (EC) | es |
dc.contributor.funder | Ministerio de Economia, Industria y Competitividad (MINECO). España | es |