- -

Estimation of shrub biomass by airborne LiDAR data in small forest stands

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

Estimation of shrub biomass by airborne LiDAR data in small forest stands

Show simple item record

Files in this item

dc.contributor.author Estornell Cremades, Javier es_ES
dc.contributor.author Ruiz Fernández, Luis Ángel es_ES
dc.contributor.author Velázquez Martí, Borja es_ES
dc.contributor.author Fernández Sarriá, Alfonso es_ES
dc.date.accessioned 2015-02-13T11:40:45Z
dc.date.available 2015-02-13T11:40:45Z
dc.date.issued 2011-11-01
dc.identifier.issn 0378-1127
dc.identifier.uri http://hdl.handle.net/10251/47019
dc.description.abstract The presence of shrub vegetation is very significant in Mediterranean ecosystems. However, the difficulty involved in shrub management and the lack of information about behavior of this vegetation means that these areas are often left out of spatial planning projects. Airborne LiDAR (Light Detection And Ranging) has been used successfully in forestry to estimate dendrometric and dasometric variables that allow to characterize forest structure. In contrast, little research has focused on shrub vegetation. The objective of this study was to estimate dry biomass of shrub vegetation in 83 stands of radius 0.5 m using variables derived from LiDAR data. Dominant species was Quercus coccifera, one of the most characteristic species of the Mediterranean forests. Density of LiDAR data in the analyzed stands varied from 2 points/m(2) to 16 points/m(2), being the average 8 points/m(2) and the standard deviation 4.5 points/m(2). Under these conditions, predictions of biomass were performed calculating the mean height, the maximum height and the percentile values 80th, 90th, and 95th derived from LiDAR in concentric areas whose radius varied from 0.50 m to 3.5 m from the center of the stand. The maximum R(2) and the minimum RMSE for dry biomass estimations were obtained when the percentile 95th of LiDAR data was calculated in an area of radius 1.5 m, being 0.48 and 1.45 kg, respectively. For this radius, it was found that for the stands (n = 39) where the DTM is calculated with high accuracy (RMSE lower than 0.20 m) and with a high density of LiDAR data (more than 8 points/m(2)) the R(2) value was 0.73. These results show the possibility of estimating shrub biomass in small areas when the density of LiDAR data is high and errors associated to the DTM are low. These results would allow us to improve the knowledge about shrub behavior avoiding the cost of field measurements and clear cutting actions. (C) 2011 Elsevier B.V. All rights reserved. es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Forest Ecology and Management es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Biomass es_ES
dc.subject DTM es_ES
dc.subject Forest management es_ES
dc.subject LiDAR es_ES
dc.subject Shrub es_ES
dc.subject Airborne LiDAR es_ES
dc.subject Airborne lidar data es_ES
dc.subject Dominant species es_ES
dc.subject Dry biomass es_ES
dc.subject Field measurement es_ES
dc.subject Forest stand es_ES
dc.subject Forest structure es_ES
dc.subject High density es_ES
dc.subject LIDAR data es_ES
dc.subject Little research es_ES
dc.subject Mediterranean ecosystem es_ES
dc.subject Mediterranean forest es_ES
dc.subject Quercus es_ES
dc.subject Small area es_ES
dc.subject Spatial planning es_ES
dc.subject Standard deviation es_ES
dc.subject Estimation es_ES
dc.subject Forestry es_ES
dc.subject Planning es_ES
dc.subject Temperature control es_ES
dc.subject Vegetation es_ES
dc.subject Optical radar es_ES
dc.subject Accuracy assessment es_ES
dc.subject Clearcutting es_ES
dc.subject Cost-benefit analysis es_ES
dc.subject Data set es_ES
dc.subject Deciduous forest es_ES
dc.subject Dominance es_ES
dc.subject Error analysis es_ES
dc.subject Estimation method es_ES
dc.subject Forest ecosystem es_ES
dc.subject Height determination es_ES
dc.subject Mediterranean environment es_ES
dc.subject Phytomass es_ES
dc.subject Prediction es_ES
dc.subject Stand structure es_ES
dc.subject Quercus coccifera es_ES
dc.subject.classification INGENIERIA AGROFORESTAL es_ES
dc.subject.classification INGENIERIA CARTOGRAFICA, GEODESIA Y FOTOGRAMETRIA es_ES
dc.title Estimation of shrub biomass by airborne LiDAR data in small forest stands es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.foreco.2011.07.026
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.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Rural y Agroalimentaria - Departament d'Enginyeria Rural i Agroalimentària es_ES
dc.contributor.affiliation Universitat Politècnica de València. Grupo de Cartografía Geoambiental y Teledetección es_ES
dc.contributor.affiliation Universitat Politècnica de València. Grupo de Mecanización y Tecnología Agraria es_ES
dc.description.bibliographicCitation Estornell Cremades, J.; Ruiz Fernández, LÁ.; Velázquez Martí, B.; Fernández Sarriá, A. (2011). Estimation of shrub biomass by airborne LiDAR data in small forest stands. Forest Ecology and Management. 262(9):1697-1703. doi:10.1016/j.foreco.2011.07.026 es_ES
dc.description.accrualMethod Senia es_ES
dc.relation.publisherversion http://dx.doi.org/10.1016/j.foreco.2011.07.026 es_ES
dc.description.upvformatpinicio 1697 es_ES
dc.description.upvformatpfin 1703 es_ES
dc.type.version info:eu repo/semantics/publishedVersion es_ES
dc.description.volume 262 es_ES
dc.description.issue 9 es_ES
dc.relation.senia 197842


This item appears in the following Collection(s)

Show simple item record