Estornell Cremades, J.; Ruiz Fernández, LÁ.; Velázquez Martí, B.; López Cortés, I.; Salazar Hernández, DM.; Fernández Sarriá, A. (2015). Estimation of pruning biomass of olive trees using airborne discrete-return LiDAR data. Biomass and Bioenergy. 81:315-321. https://doi.org/10.1016/j.biombioe.2015.07.015
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/66352
Title:
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Estimation of pruning biomass of olive trees using airborne discrete-return LiDAR data
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Author:
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Estornell Cremades, Javier
Ruiz Fernández, Luis Ángel
Velázquez Martí, Borja
López Cortés, Isabel
Salazar Hernández, Domingo Manuel
Fernández Sarriá, Alfonso
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UPV Unit:
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Universitat Politècnica de València. Departamento de Ingeniería Rural y Agroalimentaria - Departament d'Enginyeria Rural i Agroalimentària
Universitat Politècnica de València. Departamento de Producción Vegetal - Departament de Producció Vegetal
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Issued date:
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Abstract:
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[EN] The use of residual biomass from fruit tree pruning requires the creation of logistic schedules based on the knowledge of the amount of residues available in each plot. Remote sensing is shown as an important tool to ...[+]
[EN] The use of residual biomass from fruit tree pruning requires the creation of logistic schedules based on the knowledge of the amount of residues available in each plot. Remote sensing is shown as an important tool to quantify these resources. The objective of this research was to estimate the amount of pruned materials from olive trees (Olea europea L.) using dendrometric parameters obtained from field measurements and airborne LiDAR (Light Detection and Ranging) data. Pruning, mean crown diameter, stem diameter, total height and crown height were measured in the field for a set of 25 trees in Viver, Central East Spain. Airborne discrete LiDAR data were acquired and used to extract the crown area of the trees and metrics based on the height distribution of the LiDAR points. Two types of regression models to predict the amount of pruned material were computed, firstly using dendrometic measurements obtained in the field, and then based on tree metrics derived from LiDAR data. The dendrometric variables obtained from field measurements were also compared with the metrics obtained from LiDAR data. High values of R2 were obtained for the models, ranging from 0.86 to 0.89. The regression models derived from LiDAR data used the area as an explanatory variable. The results of this study show the potential of airborne LiDAR data to predict pruning residues in olive trees
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Subjects:
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Bioenergy
,
Remote sensing
,
LiDAR
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Logistics
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Dendrometry
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Copyrigths:
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Cerrado |
Source:
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Biomass and Bioenergy. (issn:
0961-9534
) (eissn:
1873-2909
)
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DOI:
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10.1016/j.biombioe.2015.07.015
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Publisher:
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Elsevier
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Publisher version:
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http://dx.doi.org/10.1016/j.biombioe.2015.07.015
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Project ID:
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info:eu-repo/grantAgreement/UPV//PAID-06-12-3297/
info:eu-repo/grantAgreement/UPV//SP20120534/
info:eu-repo/grantAgreement/GVA//GV%2F2014%2F016/
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Thanks:
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The authors appreciate the financial support provided by the Vice-Rectorate for Research of the Universitat Politecnica de Valencia (Grant PAID-06-12-3297; SP20120534) and the Conselleria de Educacion, Formacion y Empleo ...[+]
The authors appreciate the financial support provided by the Vice-Rectorate for Research of the Universitat Politecnica de Valencia (Grant PAID-06-12-3297; SP20120534) and the Conselleria de Educacion, Formacion y Empleo de la Generalitat Valenciana (GV/2014/016).
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Type:
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Artículo
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