Obtaining the three-dimensional structure of tree orchards from remote 2D terrestrial LIDAR scanning

In recent years, LIDAR (light detection and ranging) sensors have been widely used to measure environmental parameters such as the structural characteristics of trees, crops and forests. Knowledge of the structural characteristics of plants has a high scientific value due to their influence in many...

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Authors: Rosell Polo, Joan Ramon, Llorens Calveras, Jordi, Sanz Cortiella, Ricardo, Arnó Satorra, Jaume, Ribes Dasi, Manuel, Masip Vilalta, Joan, Escolà i Agustí, Alexandre, Camp, Ferran, Solanelles Batlle, Francesc, Gràcia, Felip, Gil Moya, Emilio, Val, Luis, Planas de Martí, Santiago, Palacín Roca, Jordi
Format: article
Status:Versión aceptada para publicación
Publication Date:2009
Country:España
Institution:Universitat de Lleida (UdL)
Repository:Repositori Obert UdL
OAI Identifier:oai:repositori.udl.cat:10459.1/49352
Online Access:https://doi.org/10.1016/j.agrformet.2009.04.008
http://hdl.handle.net/10459.1/49352
Access Level:Open access
Keyword:Terrestrial LIDAR
Laser measurements
3D Plant structure
Tree volume
Arbres
Radar òptic
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spelling Obtaining the three-dimensional structure of tree orchards from remote 2D terrestrial LIDAR scanningRosell Polo, Joan RamonLlorens Calveras, JordiSanz Cortiella, RicardoArnó Satorra, JaumeRibes Dasi, ManuelMasip Vilalta, JoanEscolà i Agustí, AlexandreCamp, FerranSolanelles Batlle, FrancescGràcia, FelipGil Moya, EmilioVal, LuisPlanas de Martí, SantiagoPalacín Roca, JordiTerrestrial LIDARLaser measurements3D Plant structureTree volumeArbresRadar òpticIn recent years, LIDAR (light detection and ranging) sensors have been widely used to measure environmental parameters such as the structural characteristics of trees, crops and forests. Knowledge of the structural characteristics of plants has a high scientific value due to their influence in many biophysical processes including, photosynthesis, growth, CO2-sequestration and evapotranspiration, playing a key role in the exchange of matter and energy between plants and the atmosphere, and affecting terrestrial, above-ground, carbon storage. In this work, we report the use of a 2D LIDAR scanner in agriculture to obtain three-dimensional (3D) structural characteristics of plants. LIDAR allows fast, non-destructive measurement of the 3D structure of vegetation (geometry, size, height, cross-section, etc.). LIDAR provides a 3D cloud of points, which is easily visualized with Computer Aided Design software. Three-dimensional, high density data are uniquely valuable for the qualitative and quantitative study of the geometric parameters of plants. Results are demonstrated in fruit and citrus orchards and vineyards, leading to the conclusion that the LIDAR system is able to measure the geometric characteristics of plants with sufficient precision for most agriculture applications. The developed system made it possible to obtain 3D digitalized images of crops, from which a large amount of plant information – such as height, width, volume, leaf area index and leaf area density – could be obtained. There was a great degree of concordance between the physical dimensions, shape and global appearance of the 3D digital plant structure and the real plants, revealing the coherence of the 3D tree model obtained from the developed system with respect to the real structure. For some selected trees, the correlation coefficient obtained between manually measured volumes and those obtained from the 3D LIDAR models was as high as 0.976.This research was funded by the CICYT (Comisión Interministerial de Ciencia y Tecnología, Spain), under Agreement No. AGL2002-04260-C04-02. LMS200 and SICK are trademarks of SICK AG, Germany.Elsevier2009info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionhttps://doi.org/10.1016/j.agrformet.2009.04.008http://hdl.handle.net/10459.1/49352reponame:Repositori Obert UdL instname:Universitat de Lleida (UdL)Inglésinfo:eu-repo/grantAgreement/MICYT//AGL2002‐04260‐C04‐02Versió postprint del document publicat a https://doi.org/10.1016/j.agrformet.2009.04.008Agricultural and Forest Meteorology, 2009, vol. 149, núm. 9, p. 1505-1515(c) Elsevier, 2009info:eu-repo/semantics/openAccessoai:repositori.udl.cat:10459.1/493522026-06-24T12:42:17Z
dc.title.none.fl_str_mv Obtaining the three-dimensional structure of tree orchards from remote 2D terrestrial LIDAR scanning
title Obtaining the three-dimensional structure of tree orchards from remote 2D terrestrial LIDAR scanning
spellingShingle Obtaining the three-dimensional structure of tree orchards from remote 2D terrestrial LIDAR scanning
Rosell Polo, Joan Ramon
Terrestrial LIDAR
Laser measurements
3D Plant structure
Tree volume
Arbres
Radar òptic
title_short Obtaining the three-dimensional structure of tree orchards from remote 2D terrestrial LIDAR scanning
title_full Obtaining the three-dimensional structure of tree orchards from remote 2D terrestrial LIDAR scanning
title_fullStr Obtaining the three-dimensional structure of tree orchards from remote 2D terrestrial LIDAR scanning
title_full_unstemmed Obtaining the three-dimensional structure of tree orchards from remote 2D terrestrial LIDAR scanning
title_sort Obtaining the three-dimensional structure of tree orchards from remote 2D terrestrial LIDAR scanning
dc.creator.none.fl_str_mv Rosell Polo, Joan Ramon
Llorens Calveras, Jordi
Sanz Cortiella, Ricardo
Arnó Satorra, Jaume
Ribes Dasi, Manuel
Masip Vilalta, Joan
Escolà i Agustí, Alexandre
Camp, Ferran
Solanelles Batlle, Francesc
Gràcia, Felip
Gil Moya, Emilio
Val, Luis
Planas de Martí, Santiago
Palacín Roca, Jordi
author Rosell Polo, Joan Ramon
author_facet Rosell Polo, Joan Ramon
Llorens Calveras, Jordi
Sanz Cortiella, Ricardo
Arnó Satorra, Jaume
Ribes Dasi, Manuel
Masip Vilalta, Joan
Escolà i Agustí, Alexandre
Camp, Ferran
Solanelles Batlle, Francesc
Gràcia, Felip
Gil Moya, Emilio
Val, Luis
Planas de Martí, Santiago
Palacín Roca, Jordi
author_role author
author2 Llorens Calveras, Jordi
Sanz Cortiella, Ricardo
Arnó Satorra, Jaume
Ribes Dasi, Manuel
Masip Vilalta, Joan
Escolà i Agustí, Alexandre
Camp, Ferran
Solanelles Batlle, Francesc
Gràcia, Felip
Gil Moya, Emilio
Val, Luis
Planas de Martí, Santiago
Palacín Roca, Jordi
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Terrestrial LIDAR
Laser measurements
3D Plant structure
Tree volume
Arbres
Radar òptic
topic Terrestrial LIDAR
Laser measurements
3D Plant structure
Tree volume
Arbres
Radar òptic
description In recent years, LIDAR (light detection and ranging) sensors have been widely used to measure environmental parameters such as the structural characteristics of trees, crops and forests. Knowledge of the structural characteristics of plants has a high scientific value due to their influence in many biophysical processes including, photosynthesis, growth, CO2-sequestration and evapotranspiration, playing a key role in the exchange of matter and energy between plants and the atmosphere, and affecting terrestrial, above-ground, carbon storage. In this work, we report the use of a 2D LIDAR scanner in agriculture to obtain three-dimensional (3D) structural characteristics of plants. LIDAR allows fast, non-destructive measurement of the 3D structure of vegetation (geometry, size, height, cross-section, etc.). LIDAR provides a 3D cloud of points, which is easily visualized with Computer Aided Design software. Three-dimensional, high density data are uniquely valuable for the qualitative and quantitative study of the geometric parameters of plants. Results are demonstrated in fruit and citrus orchards and vineyards, leading to the conclusion that the LIDAR system is able to measure the geometric characteristics of plants with sufficient precision for most agriculture applications. The developed system made it possible to obtain 3D digitalized images of crops, from which a large amount of plant information – such as height, width, volume, leaf area index and leaf area density – could be obtained. There was a great degree of concordance between the physical dimensions, shape and global appearance of the 3D digital plant structure and the real plants, revealing the coherence of the 3D tree model obtained from the developed system with respect to the real structure. For some selected trees, the correlation coefficient obtained between manually measured volumes and those obtained from the 3D LIDAR models was as high as 0.976.
publishDate 2009
dc.date.none.fl_str_mv 2009
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.1016/j.agrformet.2009.04.008
http://hdl.handle.net/10459.1/49352
url https://doi.org/10.1016/j.agrformet.2009.04.008
http://hdl.handle.net/10459.1/49352
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/MICYT//AGL2002‐04260‐C04‐02
Versió postprint del document publicat a https://doi.org/10.1016/j.agrformet.2009.04.008
Agricultural and Forest Meteorology, 2009, vol. 149, núm. 9, p. 1505-1515
dc.rights.none.fl_str_mv (c) Elsevier, 2009
info:eu-repo/semantics/openAccess
rights_invalid_str_mv (c) Elsevier, 2009
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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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score 15.811543

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