dc.contributor | Escuela de Ingeniería Agraria y Forestal | es_ES |
dc.contributor.author | Cosenza, Diogo Nepomuceno | |
dc.contributor.author | Soares, Paula | |
dc.contributor.author | Guerra Hernández, Juan | |
dc.contributor.author | Pereira, Luísa | |
dc.contributor.author | González Ferreiro, Eduardo Manuel | |
dc.contributor.author | Castedo Dorado, Fernando | |
dc.contributor.author | Tomé, Margarida | |
dc.contributor.other | Ingenieria Agroforestal | es_ES |
dc.date | 2019 | |
dc.date.accessioned | 2024-03-12T09:34:14Z | |
dc.date.available | 2024-03-12T09:34:14Z | |
dc.identifier.citation | Cosenza, D. N., Soares, P., Guerra-Hernández, J., Pereira, L., González-Ferreiro, E., Castedo-Dorado, F., & Tomé, M. (2019). Comparing Johnson’s SB and weibull functions to model the diameter distribution of forest plantations through ALS data. Remote Sensing, 11(23). https://doi.org/10.3390/RS11232792 | es_ES |
dc.identifier.other | https://www.mdpi.com/2072-4292/11/23/2792 | es_ES |
dc.identifier.uri | https://hdl.handle.net/10612/18822 | |
dc.description.abstract | [EN] The analysis of the diameter distribution is important for forest management since the knowledge of tree density and growing stock by diameter classes is essential to define management plans and to support operational decisions. The modeling of diameter distributions from airborne laser scanning (ALS) data has been performed through the two-parameterWeibull probability density function (PDF), but the more flexible PDF Johnson's SB has never been tested for this purpose until now. This study evaluated the performance of the Johnson's SB to predict the diameter distributions based on ALS data from two of the most common forest plantations in the northwest of the Iberian Peninsula (Eucalyptus globulus Labill. and Pinus radiata D. Don). The Weibull PDF was taken as a benchmark for the diameter distributions prediction and both PDFs were fitted with ALS data. The results show that the SB presented a comparable performance to the Weibull for both forest types. The SB presented a slightly better performance for the E. globulus, while theWeibull PDF had a small advantage when applied to the P. radiata data. The Johnson's SB PDF is more flexible but also more sensitive to possible errors arising from the higher number of stand variables needed for the estimation of the PDF parameters | es_ES |
dc.language | eng | es_ES |
dc.publisher | MDPI | es_ES |
dc.rights | Attribution-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nd/4.0/ | * |
dc.subject | Ingeniería forestal | es_ES |
dc.subject.other | Probability density function | es_ES |
dc.subject.other | LiDAR | es_ES |
dc.subject.other | Remote sensing | es_ES |
dc.subject.other | Forest horizontal structure | es_ES |
dc.title | Comparing Johnson’s SB and Weibull Functions to Model the Diameter Distribution of Forest Plantations through ALS Data | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.identifier.doi | 10.3390/RS11232792 | |
dc.description.peerreviewed | SI | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
dc.identifier.essn | 2072-4292 | |
dc.journal.title | Remote Sensing | es_ES |
dc.volume.number | 11 | es_ES |
dc.issue.number | 23 | es_ES |
dc.page.initial | 2792 | es_ES |
dc.type.hasVersion | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.project | This research was funded by the Forest Research Centre, a research Unit funded by Fundação para a Ciência e a Tecnologia I.P. (FCT), Portugal (grant number UID/AGR/00239/2019). The research activities of Diogo N. Cosenza were funded by the Portuguese Science Foundation (grant number PD/BD/128489/2017). The eucalyptus data used in this work were acquired under the framework of the PTDC/AGR-CFL/72380/2006 project (supported by the FCT under grant PTDC/AGR-CFL/72380/2006, co-financed by the European Fund of Regional Development (FEDER) through COMPETE–Operational Factors of Competitiveness Program, POFC). The pine data were acquired under the framework AGL2008-02259/FOR project (supported by the Spanish Ministry of Science and Innovation) | es_ES |