Maize biomass estimation using structure from motion data and volumetric approaches

Detalhes bibliográficos
Autor(a) principal: Reyes, José Manuel Mendonza
Data de Publicação: 2019
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/67524
Resumo: Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies
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spelling Maize biomass estimation using structure from motion data and volumetric approachesRemote sensingStructure from motionUASConvex-hullVoxelMaizeBiomassDissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial TechnologiesPlant phenotypic traits such as biomass work as predictors of important biological outcomes like fitness, disease, and mortality. Plant biomass is an essential parameter for crop management, growth monitoring, and yield estimation. Traditionally, the manual approach known as destructive sampling is the most accurate technique to estimate biomass. However, the large scales of modern agricultural research or production schemes are turning this approach into an impractical technique. Remote Sensing (RS) is a technology that has been applied to facilitate this task. Light Detection and Ranging (LiDAR) is a popular RS tool for evaluating and understanding plant canopy structure due to its accuracy and ability to build 3D point clouds, but its high cost currently limits its application. Structure from Motion (SfM) is a low-cost alternative to LiDAR that involves acquiring images using a digital camera from multiple positions to generate a 3D point cloud similar to that which is produced with LiDAR. In this study, SfM point clouds derived from Unmanned Aerial Systems (UAS) were used to build volumetric models evaluating and comparing two different methodologies for estimating plant biomass in maize (Zea mays L.); voxel-counting and convex-hull approach. The voxel-counting approach works by encapsulating the point cloud into volumetric pixels to generate a voxel grid. The volume is estimated by counting the number of voxels with at least one point inside. The convex-hull approach splits the point cloud into two parts and progressively calculate the extreme points to generate a polygon that encompasses the full point cloud. The result of this study showed that volumetric models based on SfM point cloud data are suitable for estimating maize biomass combining with volumetric models. Voxel-counting was more accurate predicting maize biomass (2=0.973) than the convex-hull approach. SfM point cloud data coupled with the voxel-counting approach offers a low-cost alternative for providing accurate biomass estimations.Lehmann, Jan Rudolf KarlGrobe-Stoltenberg, AndréGuerrero, IgnacioRUNReyes, José Manuel Mendonza2019-04-24T14:15:12Z2019-02-042019-02-04T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/67524TID:202227863enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:31:56Zoai:run.unl.pt:10362/67524Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:34:38.312894Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Maize biomass estimation using structure from motion data and volumetric approaches
title Maize biomass estimation using structure from motion data and volumetric approaches
spellingShingle Maize biomass estimation using structure from motion data and volumetric approaches
Reyes, José Manuel Mendonza
Remote sensing
Structure from motion
UAS
Convex-hull
Voxel
Maize
Biomass
title_short Maize biomass estimation using structure from motion data and volumetric approaches
title_full Maize biomass estimation using structure from motion data and volumetric approaches
title_fullStr Maize biomass estimation using structure from motion data and volumetric approaches
title_full_unstemmed Maize biomass estimation using structure from motion data and volumetric approaches
title_sort Maize biomass estimation using structure from motion data and volumetric approaches
author Reyes, José Manuel Mendonza
author_facet Reyes, José Manuel Mendonza
author_role author
dc.contributor.none.fl_str_mv Lehmann, Jan Rudolf Karl
Grobe-Stoltenberg, André
Guerrero, Ignacio
RUN
dc.contributor.author.fl_str_mv Reyes, José Manuel Mendonza
dc.subject.por.fl_str_mv Remote sensing
Structure from motion
UAS
Convex-hull
Voxel
Maize
Biomass
topic Remote sensing
Structure from motion
UAS
Convex-hull
Voxel
Maize
Biomass
description Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies
publishDate 2019
dc.date.none.fl_str_mv 2019-04-24T14:15:12Z
2019-02-04
2019-02-04T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/67524
TID:202227863
url http://hdl.handle.net/10362/67524
identifier_str_mv TID:202227863
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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