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dc.contributor.authorMéndez, Valeriano
dc.contributor.authorCatalán, Heliodoro
dc.contributor.authorRosell Polo, Joan Ramon
dc.contributor.authorArnó Satorra, Jaume
dc.contributor.authorSanz Cortiella, Ricardo
dc.date.accessioned2016-10-28T07:36:04Z
dc.date.available2016-10-28T07:36:04Z
dc.date.issued2013
dc.identifier.issn1537-5110
dc.identifier.urihttp://hdl.handle.net/10459.1/58067
dc.description.abstractLight detection and ranging (LiDAR) technology is beginning to have an impact on agriculture. Canopy volume and/or fruit tree leaf area can be estimated using terrestrial laser sensors based on this technology. However, the use of these devices may have different options depending on the resolution and scanning mode. As a consequence, data accuracy and LiDAR derived parameters are affected by sensor configuration, and may vary according to vegetative characteristics of tree crops. Given this scenario, users and suppliers of these devices need to know how to use the sensor in each case. This paper presents a computer program to determine the best configuration, allowing simulation and evaluation of different LiDAR configurations in various tree structures (or training systems). The ultimate goal is to optimise the use of laser scanners in field operations. The software presented generates a virtual orchard, and then allows the scanning simulation with a laser sensor. Trees are created using a hidden Markov tree (HMT) model. Varying the foliar structure of the orchard the LiDAR simulation was applied to twenty different artificially created orchards with or without leaves from two positions (lateral and zenith). To validate the laser sensor configuration, leaf surface of simulated trees was compared with the parameters obtained by LiDAR measurements: the impacted leaf area, the impacted total area (leaves and wood), and the impacted area in the three outer layers of leaves.ca_ES
dc.language.isoengca_ES
dc.publisherElsevierca_ES
dc.relation.isformatofVersió postprint del document publicat a https://doi.org/10.1016/j.biosystemseng.2013.02.003ca_ES
dc.relation.ispartofBiosystems Engineering, 2013, vol. 115, núm. 1, p. 7–19ca_ES
dc.rights(c) Elsevier, 2013ca_ES
dc.subjectLiDAR
dc.subjectSimulation
dc.subjectHidden Markov Tree model
dc.titleLiDAR simulation in modelled orchards to optimise the use of terrestrial laser scanners and derived vegetative measuresca_ES
dc.typearticleca_ES
dc.identifier.idgrec019284
dc.type.versionacceptedVersionca_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_ES
dc.identifier.doihttps://doi.org/10.1016/j.biosystemseng.2013.02.003


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