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dc.contributor.authorMoral Martínez, Ignacio del
dc.contributor.authorRosell Polo, Joan Ramon
dc.contributor.authorCompany Mesa, Joaquim
dc.contributor.authorSanz Cortiella, Ricardo
dc.contributor.authorEscolà i Agustí, Alexandre
dc.contributor.authorMasip Vilalta, Joan
dc.contributor.authorMartínez Casasnovas, José Antonio
dc.contributor.authorArnó Satorra, Jaume
dc.date.accessioned2016-01-26T14:41:06Z
dc.date.available2016-01-26T14:41:06Z
dc.date.issued2016-01-19
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/10459.1/49390
dc.description.abstractThe leaf area index (LAI) is defined as the one-side leaf area per unit ground area, and is probably the most widely used index to characterize grapevine vigor. However, LAI varies spatially within vineyard plots. Mapping and quantifying this variability is very important for improving management decisions and agricultural practices. In this study, a mobile terrestrial laser scanner (MTLS) was used to map the LAI of a vineyard, and then to examine how different scanning methods (on-the-go or discontinuous systematic sampling) may affect the reliability of the resulting raster maps. The use of the MTLS allows calculating the enveloping vegetative area of the canopy, which is the sum of the leaf wall areas for both sides of the row (excluding gaps) and the projected upper area. Obtaining the enveloping areas requires scanning from both sides one meter length section along the row at each systematic sampling point. By converting the enveloping areas into LAI values, a raster map of the latter can be obtained by spatial interpolation (kriging). However, the user can opt for scanning on-the-go in a continuous way and compute 1-m LAI values along the rows, or instead, perform the scanning at discontinuous systematic sampling within the plot. An analysis of correlation between maps indicated that MTLS can be used discontinuously in specific sampling sections separated by up to 15 m along the rows. This capability significantly reduces the amount of data to be acquired at field level, the data storage capacity and the processing power of computers.
dc.description.sponsorshipThis work was partially funded by the Spanish Ministry of Economy and Competitiveness (research projects SAFESPRAY—AGL2010-22304-C04-03 and AGVANCE—AGL2013-48297-C2-2-R).
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherMolecular Diversity Preservation International
dc.relationMICINN/PN/2008-2011/AGL2010-22304-C04-03
dc.relationMINECO/PN2013-2016/AGL2013-48297-C2-2-R
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.3390/s16010119
dc.relation.ispartofSensors, 2016, vol. 16, núm. 119, p. 1-13
dc.rightscc-by, (c) Moral-Martínez et al., 2016
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectlidar
dc.subjectLAI
dc.subjectMobile terrestrial laser scanner
dc.subjectprecision viticulture
dc.subjectvegetation maps
dc.subject.classificationViticultura
dc.subject.classificationCartografia de la vegetació
dc.subject.otherViticulture
dc.subject.otherVegetation mapping
dc.titleMapping vineyard leaf area using mobile terrestrial laser scanners: should rows be scanned on-the-go or discontinuosly sampled?
dc.typeinfo:eu-repo/semantics/article
dc.date.updated2016-01-25T19:44:23Z
dc.identifier.idgrec023783
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.identifier.doihttps://doi.org/10.3390/s16010119


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cc-by, (c) Moral-Martínez et al., 2016
Except where otherwise noted, this item's license is described as cc-by, (c) Moral-Martínez et al., 2016