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Assessment of factors affecting shrub volume estimations using airborne discrete-return LiDAR data in Mediterranean areas

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Assessment of factors affecting shrub volume estimations using airborne discrete-return LiDAR data in Mediterranean areas

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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 Hermosilla Gómez, Txomin es_ES
dc.date.accessioned 2013-12-11T07:57:00Z
dc.date.available 2013-12-11T07:57:00Z
dc.date.issued 2012
dc.identifier.issn 1931-3195
dc.identifier.uri http://hdl.handle.net/10251/34428
dc.description.abstract Shrub vegetation is a key element of Mediterranean forest areas and it is necessary to develop tools that allow a precise knowledge of this vegetation. This study aims to predict shrub volume and analyze the factors affecting the accuracy of these estimations in small stands using airborne discrete-return LiDAR data. The study was performed over 83 circular stands with 0.5 m radius located in Chiva (Spain) mainly occupied by Quercus coccifera. The vegetation inside each area was clear cut, and the height and the diameter of each plant was measured to compute the volume of shrub vegetation per stand. Volume values were related with maximum height values derived from LiDAR data reaching a coefficient of determination value R2=0.26. Afterwards, factors affecting the quality of volume estimations were analyzed, i.e., vegetation type, LiDAR density, and accuracy of the digital terrain model (DTM). Significant accuracy improvements (R2=0.71) were detected for stands with 0.5 m, LiDAR data density greater than 8 points/m2, vegetation Q. coccifera, and error associated to the DTM less than 0.20 m. These results show the feasibility of using LiDAR data to predict shrub volume under certain conditions, which can contribute to improved forest management and characterization. es_ES
dc.description.sponsorship The authors appreciate the financial support provided by the Spanish Ministerio de Ciencia e Innovacion in the framework of the project CGL2010-19591. en_EN
dc.language Inglés es_ES
dc.publisher Society of Photo-optical Instrumentation Engineers (SPIE) 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 Journal of Applied Remote Sensing es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Shrub es_ES
dc.subject Volume es_ES
dc.subject LiDAR data es_ES
dc.subject Digital Terrain Model (DTM) es_ES
dc.subject.classification INGENIERIA AGROFORESTAL es_ES
dc.subject.classification INGENIERIA CARTOGRAFICA, GEODESIA Y FOTOGRAMETRIA es_ES
dc.title Assessment of factors affecting shrub volume estimations using airborne discrete-return LiDAR data in Mediterranean areas es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1117/1.JRS.6.063544
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.description.bibliographicCitation Estornell Cremades, J.; Ruiz Fernández, LÁ.; Velázquez Martí, B.; Hermosilla Gómez, T. (2012). Assessment of factors affecting shrub volume estimations using airborne discrete-return LiDAR data in Mediterranean areas. Journal of Applied Remote Sensing. 6:1-10. https://doi.org/10.1117/1.JRS.6.063544 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1117/1.JRS.6.063544 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 10 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 6 es_ES
dc.relation.senia 222973
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES


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