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A comparative assessment of the vertical distribution of forest components using full-waveform airborne, discrete airborne and discrete terrestrial laser scanning data

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A comparative assessment of the vertical distribution of forest components using full-waveform airborne, discrete airborne and discrete terrestrial laser scanning data

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dc.contributor.author Crespo-Peremarch, Pablo es_ES
dc.contributor.author Fournier, Richard A. es_ES
dc.contributor.author Nguyen, Van-Tho es_ES
dc.contributor.author van Lier, Olivier R. es_ES
dc.contributor.author Ruiz Fernández, Luis Ángel es_ES
dc.date.accessioned 2021-05-06T03:31:15Z
dc.date.available 2021-05-06T03:31:15Z
dc.date.issued 2020-10-01 es_ES
dc.identifier.issn 0378-1127 es_ES
dc.identifier.uri http://hdl.handle.net/10251/166015
dc.description.abstract [EN] Laser scanning has the potential to accurately detect the vertical distribution of forest vegetative components. However, limitations are present and vary according to the system's platform (i.e., terrestrial or airborne) and recording method (i.e., discrete return or full-waveform). Terrestrial configurations detect close objects (i.e., lower vegetation strata) in more detail while airborne configurations detect a more detailed upper strata, with weak backscattered signals from lower strata. Moreover, discrete lidar systems record single or multiple hits from a given pulse at intercepted features in contrast to full-waveform systems, which register the pulse's complete backscattered signal providing complete vertical profiles. In this study, we examine for a boreal and a Mediterranean forest with contrasted conifer canopy densities: (i) the characterization of the vertical distribution and signal occlusion from three laser scanning configurations: full-waveform airborne (ALS(FW)), discrete airborne (ALS(D)), and discrete terrestrial (TLS); (ii) the comparison in the detection of understory vegetation by ALS(FW) and ALS(D) using TLS as reference; and (iii) the use of a methodological procedure based on the Gini index concept to group understory vegetation in density classes from both ALS(FW) and ALS(D) configurations. Our results demonstrate, firstly, that signal occlusion can be quantified by the rate of pulse reduction independently for data from all three laser scanning configurations. The ALS(D) configuration was the most affected by signal occlusion, leading to weak signal returns at the lower strata (z < 4 m) where the rate of pulse reduction was highest as a result of dense canopy covers. Secondly, we demonstrated the capabilities for both airborne laser scanning configurations to detect understory vegetation, albeit significantly more accurately with ALS(FW). Lastly, we demonstrated the use of the Gini index as an indicator to determine understory vegetation density classes, particularly for ALS(FW) data in dense canopy cover. We proceed to explain the limitations in detecting the vertical distribution from different configurations, and indicate that understory vegetation density classes may be successfully assigned with ALS(FW) in contrasted conifer canopy densities. es_ES
dc.description.sponsorship This research was mainly developed in the Centre d'Applications et de Recherche en TELedetection of Universite de Sherbrooke, Canada. The authors are thankful for the financial support provided by the Spanish Ministerio de Economia y Competitividad and FEDER, in the framework of the project CGL2016-80705-R, and also the Canadian research project Assessment of Wood Attributes using Remote Sensing (AWARE) (NSERC CRDPJ-462973-14, grantee N.C. Coops, UBC). es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation NSERC/CRDPJ-462973-14 es_ES
dc.relation AGENCIA ESTATAL DE INVESTIGACION/CGL2016-80705-R es_ES
dc.relation.ispartof Forest Ecology and Management es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Lidar es_ES
dc.subject Understory vegetation es_ES
dc.subject Occlusion es_ES
dc.subject Boreal forest es_ES
dc.subject Mediterranean forest es_ES
dc.subject Gini index es_ES
dc.subject.classification INGENIERIA CARTOGRAFICA, GEODESIA Y FOTOGRAMETRIA es_ES
dc.title A comparative assessment of the vertical distribution of forest components using full-waveform airborne, discrete airborne and discrete terrestrial laser scanning data es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.foreco.2020.118268 es_ES
dc.rights.accessRights Embargado es_ES
dc.date.embargoEndDate 2022-06-12 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 Crespo-Peremarch, P.; Fournier, RA.; Nguyen, V.; Van Lier, OR.; Ruiz Fernández, LÁ. (2020). A comparative assessment of the vertical distribution of forest components using full-waveform airborne, discrete airborne and discrete terrestrial laser scanning data. Forest Ecology and Management. 473:1-15. https://doi.org/10.1016/j.foreco.2020.118268 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.foreco.2020.118268 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 15 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 473 es_ES
dc.relation.pasarela S\413939 es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES
dc.contributor.funder European Regional Development Fund es_ES
dc.contributor.funder Natural Sciences and Engineering Research Council of Canada es_ES


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