Soil apparent electrical conductivity and geographically weighted regression for mapping soil
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10174/3140 https://doi.org/10.1007/s11119-011-9218-5 |
Resumo: | To resolve the spatial variation in soil properties intensively is expensive, but such knowledge is essential to manage the soil better and to achieve greater economic and environmental benefits. The objective of this study was to determine whether the soil apparent electrical conductivity (ECa), alone or combined with other variables, is a useful alternative for providing detailed information on the soil in the Extremadura region of Spain. Apparent soil electrical conductivity was measured and geographically weighted regression was used to characterize the spatial variation in soil properties, which in turn can be used for soil management. This study shows that soil cation exchange capacity, calcium content, clay percentage and pH have a relatively strong spatial correlation with ECa in the soil of the study area. |
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Soil apparent electrical conductivity and geographically weighted regression for mapping soilSoil apparent electrical conductivityClay soilSoil mappingSite-specific managementTo resolve the spatial variation in soil properties intensively is expensive, but such knowledge is essential to manage the soil better and to achieve greater economic and environmental benefits. The objective of this study was to determine whether the soil apparent electrical conductivity (ECa), alone or combined with other variables, is a useful alternative for providing detailed information on the soil in the Extremadura region of Spain. Apparent soil electrical conductivity was measured and geographically weighted regression was used to characterize the spatial variation in soil properties, which in turn can be used for soil management. This study shows that soil cation exchange capacity, calcium content, clay percentage and pH have a relatively strong spatial correlation with ECa in the soil of the study area.SPRINGER2012-01-09T15:47:54Z2012-01-092011-01-25T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/3140http://hdl.handle.net/10174/3140https://doi.org/10.1007/s11119-011-9218-5engTERRON, J. M.; MARQUES DA SILVA, J. R.; MORAL, F. J. & GARCÍA-FERRER, A. (2011). Soil apparent electrical conductivity and geographically weighted regression for mapping soil. Precision agriculture, 12(5): 750-761.ICAAMjosemaria.terron@juntaextremadura.netjmsilva@uevora.ptfjmoral@unex.esagferrer@uco.es580Terrón, J. M.Marques da Silva, José RafaelMoral, F. J.García-Ferrer, Alfonsoinfo: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:RCAAP2024-01-03T18:40:10Zoai:dspace.uevora.pt:10174/3140Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:58:42.441723Repositório 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 |
Soil apparent electrical conductivity and geographically weighted regression for mapping soil |
title |
Soil apparent electrical conductivity and geographically weighted regression for mapping soil |
spellingShingle |
Soil apparent electrical conductivity and geographically weighted regression for mapping soil Terrón, J. M. Soil apparent electrical conductivity Clay soil Soil mapping Site-specific management |
title_short |
Soil apparent electrical conductivity and geographically weighted regression for mapping soil |
title_full |
Soil apparent electrical conductivity and geographically weighted regression for mapping soil |
title_fullStr |
Soil apparent electrical conductivity and geographically weighted regression for mapping soil |
title_full_unstemmed |
Soil apparent electrical conductivity and geographically weighted regression for mapping soil |
title_sort |
Soil apparent electrical conductivity and geographically weighted regression for mapping soil |
author |
Terrón, J. M. |
author_facet |
Terrón, J. M. Marques da Silva, José Rafael Moral, F. J. García-Ferrer, Alfonso |
author_role |
author |
author2 |
Marques da Silva, José Rafael Moral, F. J. García-Ferrer, Alfonso |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Terrón, J. M. Marques da Silva, José Rafael Moral, F. J. García-Ferrer, Alfonso |
dc.subject.por.fl_str_mv |
Soil apparent electrical conductivity Clay soil Soil mapping Site-specific management |
topic |
Soil apparent electrical conductivity Clay soil Soil mapping Site-specific management |
description |
To resolve the spatial variation in soil properties intensively is expensive, but such knowledge is essential to manage the soil better and to achieve greater economic and environmental benefits. The objective of this study was to determine whether the soil apparent electrical conductivity (ECa), alone or combined with other variables, is a useful alternative for providing detailed information on the soil in the Extremadura region of Spain. Apparent soil electrical conductivity was measured and geographically weighted regression was used to characterize the spatial variation in soil properties, which in turn can be used for soil management. This study shows that soil cation exchange capacity, calcium content, clay percentage and pH have a relatively strong spatial correlation with ECa in the soil of the study area. |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011-01-25T00:00:00Z 2012-01-09T15:47:54Z 2012-01-09 |
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://hdl.handle.net/10174/3140 http://hdl.handle.net/10174/3140 https://doi.org/10.1007/s11119-011-9218-5 |
url |
http://hdl.handle.net/10174/3140 https://doi.org/10.1007/s11119-011-9218-5 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
TERRON, J. M.; MARQUES DA SILVA, J. R.; MORAL, F. J. & GARCÍA-FERRER, A. (2011). Soil apparent electrical conductivity and geographically weighted regression for mapping soil. Precision agriculture, 12(5): 750-761. ICAAM josemaria.terron@juntaextremadura.net jmsilva@uevora.pt fjmoral@unex.es agferrer@uco.es 580 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
SPRINGER |
publisher.none.fl_str_mv |
SPRINGER |
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 |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799136470224601088 |