Application of electromagnetic induction and inversion modelling for 3D mapping of soil texture
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , , , |
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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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 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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1799137270813425664 |