Spatial soil sampling design using apparent soil electrical conductivity measurements

Detalhes bibliográficos
Autor(a) principal: Siqueira,Glécio Machado
Data de Publicação: 2016
Outros Autores: Dafonte,Jorge Dafonte, González,Antonio Paz, Vázquez,Eva Vidal, Armesto,Monteserrat Valcarcel, Guedes Filho,Osvaldo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Bragantia
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052016000400459
Resumo: ABSTRACT Soil sampling is an important stage of digital soil mapping. The objective of this study was to characterize the spatial design of soil sampling using soil apparent electrical conductivity (ECa) and its optimized spatial sampling. For the characterization, it was used the Spatial Simulated Annealing (SSA) technique, incorporated on the software SANOS 0.1, and the method of response surface sampling design on the software ESAP 2.35. The ECa was measured at 1,887 points in an area of 6 ha located in the northwestern region of Spain. The EM38-DD equipment (Geonics Limited 2005) was used at 2 depths: vertical dipole (1.5 m effective measurement depth) and horizontal dipole (0.75 m effective measurement depth). Semivariogram showed trend for ECa in vertical dipole (ECa-V) and ECa in horizontal dipole (ECa-H). Software SANOS 0.1 and ESAP 2.35 were used to obtain the 40-point sampling scheme, using the 2 schemes (SANOS and ESAP). ECa-V estimation values at the 1,887 points were calculated with residual ordinary kriging. The sampling scheme obtained from ESAP was better than with SANOS.
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spelling Spatial soil sampling design using apparent soil electrical conductivity measurementsgeostatisticssemivariogramspatial variabilityoptimizationsoil samplingABSTRACT Soil sampling is an important stage of digital soil mapping. The objective of this study was to characterize the spatial design of soil sampling using soil apparent electrical conductivity (ECa) and its optimized spatial sampling. For the characterization, it was used the Spatial Simulated Annealing (SSA) technique, incorporated on the software SANOS 0.1, and the method of response surface sampling design on the software ESAP 2.35. The ECa was measured at 1,887 points in an area of 6 ha located in the northwestern region of Spain. The EM38-DD equipment (Geonics Limited 2005) was used at 2 depths: vertical dipole (1.5 m effective measurement depth) and horizontal dipole (0.75 m effective measurement depth). Semivariogram showed trend for ECa in vertical dipole (ECa-V) and ECa in horizontal dipole (ECa-H). Software SANOS 0.1 and ESAP 2.35 were used to obtain the 40-point sampling scheme, using the 2 schemes (SANOS and ESAP). ECa-V estimation values at the 1,887 points were calculated with residual ordinary kriging. The sampling scheme obtained from ESAP was better than with SANOS.Instituto Agronômico de Campinas2016-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052016000400459Bragantia v.75 n.4 2016reponame:Bragantiainstname:Instituto Agronômico de Campinas (IAC)instacron:IAC10.1590/1678-4499.445info:eu-repo/semantics/openAccessSiqueira,Glécio MachadoDafonte,Jorge DafonteGonzález,Antonio PazVázquez,Eva VidalArmesto,Monteserrat ValcarcelGuedes Filho,Osvaldoeng2016-10-25T00:00:00Zoai:scielo:S0006-87052016000400459Revistahttps://www.scielo.br/j/brag/https://old.scielo.br/oai/scielo-oai.phpbragantia@iac.sp.gov.br||bragantia@iac.sp.gov.br1678-44990006-8705opendoar:2016-10-25T00:00Bragantia - Instituto Agronômico de Campinas (IAC)false
dc.title.none.fl_str_mv Spatial soil sampling design using apparent soil electrical conductivity measurements
title Spatial soil sampling design using apparent soil electrical conductivity measurements
spellingShingle Spatial soil sampling design using apparent soil electrical conductivity measurements
Siqueira,Glécio Machado
geostatistics
semivariogram
spatial variability
optimization
soil sampling
title_short Spatial soil sampling design using apparent soil electrical conductivity measurements
title_full Spatial soil sampling design using apparent soil electrical conductivity measurements
title_fullStr Spatial soil sampling design using apparent soil electrical conductivity measurements
title_full_unstemmed Spatial soil sampling design using apparent soil electrical conductivity measurements
title_sort Spatial soil sampling design using apparent soil electrical conductivity measurements
author Siqueira,Glécio Machado
author_facet Siqueira,Glécio Machado
Dafonte,Jorge Dafonte
González,Antonio Paz
Vázquez,Eva Vidal
Armesto,Monteserrat Valcarcel
Guedes Filho,Osvaldo
author_role author
author2 Dafonte,Jorge Dafonte
González,Antonio Paz
Vázquez,Eva Vidal
Armesto,Monteserrat Valcarcel
Guedes Filho,Osvaldo
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Siqueira,Glécio Machado
Dafonte,Jorge Dafonte
González,Antonio Paz
Vázquez,Eva Vidal
Armesto,Monteserrat Valcarcel
Guedes Filho,Osvaldo
dc.subject.por.fl_str_mv geostatistics
semivariogram
spatial variability
optimization
soil sampling
topic geostatistics
semivariogram
spatial variability
optimization
soil sampling
description ABSTRACT Soil sampling is an important stage of digital soil mapping. The objective of this study was to characterize the spatial design of soil sampling using soil apparent electrical conductivity (ECa) and its optimized spatial sampling. For the characterization, it was used the Spatial Simulated Annealing (SSA) technique, incorporated on the software SANOS 0.1, and the method of response surface sampling design on the software ESAP 2.35. The ECa was measured at 1,887 points in an area of 6 ha located in the northwestern region of Spain. The EM38-DD equipment (Geonics Limited 2005) was used at 2 depths: vertical dipole (1.5 m effective measurement depth) and horizontal dipole (0.75 m effective measurement depth). Semivariogram showed trend for ECa in vertical dipole (ECa-V) and ECa in horizontal dipole (ECa-H). Software SANOS 0.1 and ESAP 2.35 were used to obtain the 40-point sampling scheme, using the 2 schemes (SANOS and ESAP). ECa-V estimation values at the 1,887 points were calculated with residual ordinary kriging. The sampling scheme obtained from ESAP was better than with SANOS.
publishDate 2016
dc.date.none.fl_str_mv 2016-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052016000400459
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052016000400459
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1678-4499.445
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 Instituto Agronômico de Campinas
publisher.none.fl_str_mv Instituto Agronômico de Campinas
dc.source.none.fl_str_mv Bragantia v.75 n.4 2016
reponame:Bragantia
instname:Instituto Agronômico de Campinas (IAC)
instacron:IAC
instname_str Instituto Agronômico de Campinas (IAC)
instacron_str IAC
institution IAC
reponame_str Bragantia
collection Bragantia
repository.name.fl_str_mv Bragantia - Instituto Agronômico de Campinas (IAC)
repository.mail.fl_str_mv bragantia@iac.sp.gov.br||bragantia@iac.sp.gov.br
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