Application of electromagnetic induction and inversion modelling for 3D mapping of soil texture

Detalhes bibliográficos
Autor(a) principal: Farzamian,M.
Data de Publicação: 2022
Outros Autores: Paz,A., Castanheira,N., Ramos,T., Moreno,F. Martinez, Rodríguez,M., Santos,F. Monteiro, Alexandre,C., Vanderlinden,K., Gonçalves,M.C.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://scielo.pt/scielo.php?script=sci_arttext&pid=S0871-018X2022000300021
Resumo: Abstract Using a DUALEM21 sensor, we conducted electromagnetic induction (EMI) surveys in an agricultural field in the Roxo irrigation perimeter in Alentejo, Portugal, to evaluate the potential of using this technique for 3D mapping of soil texture. We first processed apparent electrical conductivity data (ECa) and then used a Quasi-3D inversion algorithm in order to obtain 3D electromagnetic conductivity images (EMCI) of the actual bulk soil electrical conductivity (EC). This is because the ECa is a depth-weighted, average conductivity measurement and does not represent the actual EC variation with depth. Afterward, we evaluated the possibility of establishing a linear regression (LR) relationship between EC and soil texture collected from 13 soil sample locations at 3 layers to a depth of 0.60 m. We selected the locations for soil sampling based on the ECa variations. Our analysis showed that it is possible to establish a relatively good LR between EC and clay, and between EC and sand (R2>0.60), allowing us to convert EMCI into sand and clay content and generate sand and clay 3D maps down to 0.60 m depth.
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spelling Application of electromagnetic induction and inversion modelling for 3D mapping of soil textureElectromagnetic inductionInversion modellingSoil texture mappingAbstract Using a DUALEM21 sensor, we conducted electromagnetic induction (EMI) surveys in an agricultural field in the Roxo irrigation perimeter in Alentejo, Portugal, to evaluate the potential of using this technique for 3D mapping of soil texture. We first processed apparent electrical conductivity data (ECa) and then used a Quasi-3D inversion algorithm in order to obtain 3D electromagnetic conductivity images (EMCI) of the actual bulk soil electrical conductivity (EC). This is because the ECa is a depth-weighted, average conductivity measurement and does not represent the actual EC variation with depth. Afterward, we evaluated the possibility of establishing a linear regression (LR) relationship between EC and soil texture collected from 13 soil sample locations at 3 layers to a depth of 0.60 m. We selected the locations for soil sampling based on the ECa variations. Our analysis showed that it is possible to establish a relatively good LR between EC and clay, and between EC and sand (R2>0.60), allowing us to convert EMCI into sand and clay content and generate sand and clay 3D maps down to 0.60 m depth.Sociedade de Ciências Agrárias de Portugal2022-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articletext/htmlhttp://scielo.pt/scielo.php?script=sci_arttext&pid=S0871-018X2022000300021Revista de Ciências Agrárias v.45 n.4 2022reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPenghttp://scielo.pt/scielo.php?script=sci_arttext&pid=S0871-018X2022000300021Farzamian,M.Paz,A.Castanheira,N.Ramos,T.Moreno,F. MartinezRodríguez,M.Santos,F. MonteiroAlexandre,C.Vanderlinden,K.Gonçalves,M.C.info:eu-repo/semantics/openAccess2024-02-06T17:03:00Zoai:scielo:S0871-018X2022000300021Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:17:49.060996Repositório 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 Application of electromagnetic induction and inversion modelling for 3D mapping of soil texture
title Application of electromagnetic induction and inversion modelling for 3D mapping of soil texture
spellingShingle Application of electromagnetic induction and inversion modelling for 3D mapping of soil texture
Farzamian,M.
Electromagnetic induction
Inversion modelling
Soil texture mapping
title_short Application of electromagnetic induction and inversion modelling for 3D mapping of soil texture
title_full Application of electromagnetic induction and inversion modelling for 3D mapping of soil texture
title_fullStr Application of electromagnetic induction and inversion modelling for 3D mapping of soil texture
title_full_unstemmed Application of electromagnetic induction and inversion modelling for 3D mapping of soil texture
title_sort Application of electromagnetic induction and inversion modelling for 3D mapping of soil texture
author Farzamian,M.
author_facet Farzamian,M.
Paz,A.
Castanheira,N.
Ramos,T.
Moreno,F. Martinez
Rodríguez,M.
Santos,F. Monteiro
Alexandre,C.
Vanderlinden,K.
Gonçalves,M.C.
author_role author
author2 Paz,A.
Castanheira,N.
Ramos,T.
Moreno,F. Martinez
Rodríguez,M.
Santos,F. Monteiro
Alexandre,C.
Vanderlinden,K.
Gonçalves,M.C.
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Farzamian,M.
Paz,A.
Castanheira,N.
Ramos,T.
Moreno,F. Martinez
Rodríguez,M.
Santos,F. Monteiro
Alexandre,C.
Vanderlinden,K.
Gonçalves,M.C.
dc.subject.por.fl_str_mv Electromagnetic induction
Inversion modelling
Soil texture mapping
topic Electromagnetic induction
Inversion modelling
Soil texture mapping
description Abstract Using a DUALEM21 sensor, we conducted electromagnetic induction (EMI) surveys in an agricultural field in the Roxo irrigation perimeter in Alentejo, Portugal, to evaluate the potential of using this technique for 3D mapping of soil texture. We first processed apparent electrical conductivity data (ECa) and then used a Quasi-3D inversion algorithm in order to obtain 3D electromagnetic conductivity images (EMCI) of the actual bulk soil electrical conductivity (EC). This is because the ECa is a depth-weighted, average conductivity measurement and does not represent the actual EC variation with depth. Afterward, we evaluated the possibility of establishing a linear regression (LR) relationship between EC and soil texture collected from 13 soil sample locations at 3 layers to a depth of 0.60 m. We selected the locations for soil sampling based on the ECa variations. Our analysis showed that it is possible to establish a relatively good LR between EC and clay, and between EC and sand (R2>0.60), allowing us to convert EMCI into sand and clay content and generate sand and clay 3D maps down to 0.60 m depth.
publishDate 2022
dc.date.none.fl_str_mv 2022-12-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://scielo.pt/scielo.php?script=sci_arttext&pid=S0871-018X2022000300021
url http://scielo.pt/scielo.php?script=sci_arttext&pid=S0871-018X2022000300021
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://scielo.pt/scielo.php?script=sci_arttext&pid=S0871-018X2022000300021
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade de Ciências Agrárias de Portugal
publisher.none.fl_str_mv Sociedade de Ciências Agrárias de Portugal
dc.source.none.fl_str_mv Revista de Ciências Agrárias v.45 n.4 2022
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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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
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