Mapping vineyard leaf area using mobile terrestrial laser scanners: should rows be scanned on-the-go or discontinuosly sampled?

The 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 de...

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Autores: Moral Martínez, Ignacio del, Rosell Polo, Joan Ramon, Company Mesa, Joaquim, Sanz Cortiella, Ricardo, Escolà i Agustí, Alexandre, Masip Vilalta, Joan, Martínez Casasnovas, José Antonio, Arnó Satorra, Jaume
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2016
País:España
Institución:Universitat de Lleida (UdL)
Repositorio:Repositori Obert UdL
OAI Identifier:oai:repositori.udl.cat:10459.1/49390
Acceso en línea:https://doi.org/10.3390/s16010119
http://hdl.handle.net/10459.1/49390
Access Level:acceso abierto
Palabra clave:lidar
LAI
Mobile terrestrial laser scanner
precision viticulture
vegetation maps
Viticultura
Cartografia de la vegetació
Viticulture
Vegetation mapping
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repository_id_str
spelling Mapping vineyard leaf area using mobile terrestrial laser scanners: should rows be scanned on-the-go or discontinuosly sampled?Moral Martínez, Ignacio delRosell Polo, Joan RamonCompany Mesa, JoaquimSanz Cortiella, RicardoEscolà i Agustí, AlexandreMasip Vilalta, JoanMartínez Casasnovas, José AntonioArnó Satorra, JaumelidarLAIMobile terrestrial laser scannerprecision viticulturevegetation mapsViticulturaCartografia de la vegetacióViticultureVegetation mappingThe 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.This 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).Molecular Diversity Preservation International2016info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://doi.org/10.3390/s16010119http://hdl.handle.net/10459.1/49390reponame:Repositori Obert UdL instname:Universitat de Lleida (UdL)Inglésinfo:eu-repo/grantAgreement/MICINN//AGL2010-22304-C04-03info:eu-repo/grantAgreement/MINECO//AGL2013-48297-C2-2-RReproducció del document publicat a: https://doi.org/10.3390/s16010119Sensors, 2016, vol. 16, núm. 119, p. 1-13cc-by, (c) Moral-Martínez et al., 2016info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/oai:repositori.udl.cat:10459.1/493902026-06-24T12:42:17Z
dc.title.none.fl_str_mv Mapping vineyard leaf area using mobile terrestrial laser scanners: should rows be scanned on-the-go or discontinuosly sampled?
title Mapping vineyard leaf area using mobile terrestrial laser scanners: should rows be scanned on-the-go or discontinuosly sampled?
spellingShingle Mapping vineyard leaf area using mobile terrestrial laser scanners: should rows be scanned on-the-go or discontinuosly sampled?
Moral Martínez, Ignacio del
lidar
LAI
Mobile terrestrial laser scanner
precision viticulture
vegetation maps
Viticultura
Cartografia de la vegetació
Viticulture
Vegetation mapping
title_short Mapping vineyard leaf area using mobile terrestrial laser scanners: should rows be scanned on-the-go or discontinuosly sampled?
title_full Mapping vineyard leaf area using mobile terrestrial laser scanners: should rows be scanned on-the-go or discontinuosly sampled?
title_fullStr Mapping vineyard leaf area using mobile terrestrial laser scanners: should rows be scanned on-the-go or discontinuosly sampled?
title_full_unstemmed Mapping vineyard leaf area using mobile terrestrial laser scanners: should rows be scanned on-the-go or discontinuosly sampled?
title_sort Mapping vineyard leaf area using mobile terrestrial laser scanners: should rows be scanned on-the-go or discontinuosly sampled?
dc.creator.none.fl_str_mv Moral Martínez, Ignacio del
Rosell Polo, Joan Ramon
Company Mesa, Joaquim
Sanz Cortiella, Ricardo
Escolà i Agustí, Alexandre
Masip Vilalta, Joan
Martínez Casasnovas, José Antonio
Arnó Satorra, Jaume
author Moral Martínez, Ignacio del
author_facet Moral Martínez, Ignacio del
Rosell Polo, Joan Ramon
Company Mesa, Joaquim
Sanz Cortiella, Ricardo
Escolà i Agustí, Alexandre
Masip Vilalta, Joan
Martínez Casasnovas, José Antonio
Arnó Satorra, Jaume
author_role author
author2 Rosell Polo, Joan Ramon
Company Mesa, Joaquim
Sanz Cortiella, Ricardo
Escolà i Agustí, Alexandre
Masip Vilalta, Joan
Martínez Casasnovas, José Antonio
Arnó Satorra, Jaume
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv lidar
LAI
Mobile terrestrial laser scanner
precision viticulture
vegetation maps
Viticultura
Cartografia de la vegetació
Viticulture
Vegetation mapping
topic lidar
LAI
Mobile terrestrial laser scanner
precision viticulture
vegetation maps
Viticultura
Cartografia de la vegetació
Viticulture
Vegetation mapping
description The 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.
publishDate 2016
dc.date.none.fl_str_mv 2016
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.3390/s16010119
http://hdl.handle.net/10459.1/49390
url https://doi.org/10.3390/s16010119
http://hdl.handle.net/10459.1/49390
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/MICINN//AGL2010-22304-C04-03
info:eu-repo/grantAgreement/MINECO//AGL2013-48297-C2-2-R
Reproducció del document publicat a: https://doi.org/10.3390/s16010119
Sensors, 2016, vol. 16, núm. 119, p. 1-13
dc.rights.none.fl_str_mv cc-by, (c) Moral-Martínez et al., 2016
info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
rights_invalid_str_mv cc-by, (c) Moral-Martínez et al., 2016
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Molecular Diversity Preservation International
publisher.none.fl_str_mv Molecular Diversity Preservation International
dc.source.none.fl_str_mv reponame:Repositori Obert UdL
instname:Universitat de Lleida (UdL)
instname_str Universitat de Lleida (UdL)
reponame_str Repositori Obert UdL
collection Repositori Obert UdL
repository.name.fl_str_mv
repository.mail.fl_str_mv
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