Delineation of management zones in hedgerow almond orchards based on vegetation indices from UAV images validated by LiDAR-derived canopy parameters

One of the challenges in orchard management, in particular of hedgerow tree plantations, is the delineation of management zones on the bases of high-precision data. Along this line, the present study analyses the applicability of vegetation indices derived from UAV images to estimate the key structu...

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Autores: Martínez Casasnovas, José Antonio, Sandonís Pozo, Leire, Escolà i Agustí, Alexandre, Arnó Satorra, Jaume, Llorens Calveras, Jordi
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:España
Institución:Universitat de Lleida (UdL)
Repositorio:Repositori Obert UdL
OAI Identifier:oai:repositori.udl.cat:10459.1/73125
Acceso en línea:https://doi.org/10.3390/agronomy12010102
http://hdl.handle.net/10459.1/73125
Access Level:acceso abierto
Palabra clave:NDVI
LiDAR
Canopy geometry
Canopy structure
Hedgerow orchards
Geometria de l'espai
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spelling Delineation of management zones in hedgerow almond orchards based on vegetation indices from UAV images validated by LiDAR-derived canopy parametersMartínez Casasnovas, José AntonioSandonís Pozo, LeireEscolà i Agustí, AlexandreArnó Satorra, JaumeLlorens Calveras, JordiNDVILiDARCanopy geometryCanopy structureHedgerow orchardsGeometria de l'espaiOne of the challenges in orchard management, in particular of hedgerow tree plantations, is the delineation of management zones on the bases of high-precision data. Along this line, the present study analyses the applicability of vegetation indices derived from UAV images to estimate the key structural and geometric canopy parameters of an almond orchard. In addition, the classes created on the basis of the vegetation indices were assessed to delineate potential management zones. The structural and geometric orchard parameters (width, height, cross-sectional area and porosity) were characterized by means of a LiDAR sensor, and the vegetation indices were derived from a UAV-acquired multispectral image. Both datasets summarized every 0.5 m along the almond tree rows and were used to interpolate continuous representations of the variables by means of geostatistical analysis. Linear and canonical correlation analyses were carried out to select the best performing vegetation index to estimate the structural and geometric orchard parameters in each cross-section of the tree rows. The results showed that NDVI averaged in each cross-section and normalized by its projected area achieved the highest correlations and served to define potential management zones. These findings expand the possibilities of using multispectral images in orchard management, particularly in hedgerow plantations.Grant RTI2018-094222-B-I00 (PAgFRUIT project) by MCIN/AEI/10.13039/501100011033 and by “ERDF, a way of making Europe”, by the European UnionMDPI2022info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://doi.org/10.3390/agronomy12010102http://hdl.handle.net/10459.1/73125reponame:Repositori Obert UdL instname:Universitat de Lleida (UdL)Inglésinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-094222-B-I00Reproducció del document publicat a https://doi.org/10.3390/agronomy12010102Agronomy, 2022, vol. 12, núm. 1, p. 1-15cc-by (c) Martínez et al., 2022info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/oai:repositori.udl.cat:10459.1/731252026-06-24T12:42:17Z
dc.title.none.fl_str_mv Delineation of management zones in hedgerow almond orchards based on vegetation indices from UAV images validated by LiDAR-derived canopy parameters
title Delineation of management zones in hedgerow almond orchards based on vegetation indices from UAV images validated by LiDAR-derived canopy parameters
spellingShingle Delineation of management zones in hedgerow almond orchards based on vegetation indices from UAV images validated by LiDAR-derived canopy parameters
Martínez Casasnovas, José Antonio
NDVI
LiDAR
Canopy geometry
Canopy structure
Hedgerow orchards
Geometria de l'espai
title_short Delineation of management zones in hedgerow almond orchards based on vegetation indices from UAV images validated by LiDAR-derived canopy parameters
title_full Delineation of management zones in hedgerow almond orchards based on vegetation indices from UAV images validated by LiDAR-derived canopy parameters
title_fullStr Delineation of management zones in hedgerow almond orchards based on vegetation indices from UAV images validated by LiDAR-derived canopy parameters
title_full_unstemmed Delineation of management zones in hedgerow almond orchards based on vegetation indices from UAV images validated by LiDAR-derived canopy parameters
title_sort Delineation of management zones in hedgerow almond orchards based on vegetation indices from UAV images validated by LiDAR-derived canopy parameters
dc.creator.none.fl_str_mv Martínez Casasnovas, José Antonio
Sandonís Pozo, Leire
Escolà i Agustí, Alexandre
Arnó Satorra, Jaume
Llorens Calveras, Jordi
author Martínez Casasnovas, José Antonio
author_facet Martínez Casasnovas, José Antonio
Sandonís Pozo, Leire
Escolà i Agustí, Alexandre
Arnó Satorra, Jaume
Llorens Calveras, Jordi
author_role author
author2 Sandonís Pozo, Leire
Escolà i Agustí, Alexandre
Arnó Satorra, Jaume
Llorens Calveras, Jordi
author2_role author
author
author
author
dc.subject.none.fl_str_mv NDVI
LiDAR
Canopy geometry
Canopy structure
Hedgerow orchards
Geometria de l'espai
topic NDVI
LiDAR
Canopy geometry
Canopy structure
Hedgerow orchards
Geometria de l'espai
description One of the challenges in orchard management, in particular of hedgerow tree plantations, is the delineation of management zones on the bases of high-precision data. Along this line, the present study analyses the applicability of vegetation indices derived from UAV images to estimate the key structural and geometric canopy parameters of an almond orchard. In addition, the classes created on the basis of the vegetation indices were assessed to delineate potential management zones. The structural and geometric orchard parameters (width, height, cross-sectional area and porosity) were characterized by means of a LiDAR sensor, and the vegetation indices were derived from a UAV-acquired multispectral image. Both datasets summarized every 0.5 m along the almond tree rows and were used to interpolate continuous representations of the variables by means of geostatistical analysis. Linear and canonical correlation analyses were carried out to select the best performing vegetation index to estimate the structural and geometric orchard parameters in each cross-section of the tree rows. The results showed that NDVI averaged in each cross-section and normalized by its projected area achieved the highest correlations and served to define potential management zones. These findings expand the possibilities of using multispectral images in orchard management, particularly in hedgerow plantations.
publishDate 2022
dc.date.none.fl_str_mv 2022
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/agronomy12010102
http://hdl.handle.net/10459.1/73125
url https://doi.org/10.3390/agronomy12010102
http://hdl.handle.net/10459.1/73125
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-094222-B-I00
Reproducció del document publicat a https://doi.org/10.3390/agronomy12010102
Agronomy, 2022, vol. 12, núm. 1, p. 1-15
dc.rights.none.fl_str_mv cc-by (c) Martínez et al., 2022
info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
rights_invalid_str_mv cc-by (c) Martínez et al., 2022
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
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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