In situ separation of soil types along transects employing Vis-NIR sensors: a new view of soil evaluation

Detalhes bibliográficos
Autor(a) principal: Fiorio,Peterson Ricardo
Data de Publicação: 2014
Outros Autores: Demattê,José Alexandre Melo, Nanni,Marcos Rafael, Genú,Aline Marques, Martins,Juliano Araujo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista ciência agronômica (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902014000300002
Resumo: Soil components, such as organic matter, the levels and form of iron oxides, moisture and texture, influence the interaction of the soil with electromagnetic energy, so that knowledge of the energy reflected by different classes of soil is therefore of help in their discrimination. The aim of this study was to evaluate the possibility of differentiating classes of soils along two transects, by means of the field spectral behaviour of different classes, using both visual and multivariate statistical analysis. Equidistant points were marked along the transects, 100 m apart, where geo-referenced soil samples were collected from the surface layer at a depth of 0 to 0.20 m. In the area under study, ten classes of soil were described by means of laboratory analysis of surface samples and a morphological description of the profiles, with each soil being classified according to the Brazilian System of Soil Classification. For separating soil units and establishing their boundaries in the landscape three methods were used: a) traditional, evaluating the correlation between soil and landscape; b) qualitative assessment of the spectral curves; c) multivariate analysis for discrimination of the classes of soil. Comparison of these methods made possible the use of spectroradiometry in differentiating the classes of soil, with the statistical method separating a larger number of classes. It was possible to delimit the boundaries of the soil units in the area under study, as well as differences in texture, colour, total iron and organic matter between units, by varying the spectral responses of the soil samples being tested.
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spelling In situ separation of soil types along transects employing Vis-NIR sensors: a new view of soil evaluationRemote sensingSoil surveyReflectanceSoil spectroradiometrySoil components, such as organic matter, the levels and form of iron oxides, moisture and texture, influence the interaction of the soil with electromagnetic energy, so that knowledge of the energy reflected by different classes of soil is therefore of help in their discrimination. The aim of this study was to evaluate the possibility of differentiating classes of soils along two transects, by means of the field spectral behaviour of different classes, using both visual and multivariate statistical analysis. Equidistant points were marked along the transects, 100 m apart, where geo-referenced soil samples were collected from the surface layer at a depth of 0 to 0.20 m. In the area under study, ten classes of soil were described by means of laboratory analysis of surface samples and a morphological description of the profiles, with each soil being classified according to the Brazilian System of Soil Classification. For separating soil units and establishing their boundaries in the landscape three methods were used: a) traditional, evaluating the correlation between soil and landscape; b) qualitative assessment of the spectral curves; c) multivariate analysis for discrimination of the classes of soil. Comparison of these methods made possible the use of spectroradiometry in differentiating the classes of soil, with the statistical method separating a larger number of classes. It was possible to delimit the boundaries of the soil units in the area under study, as well as differences in texture, colour, total iron and organic matter between units, by varying the spectral responses of the soil samples being tested.Universidade Federal do Ceará2014-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902014000300002Revista Ciência Agronômica v.45 n.3 2014reponame:Revista ciência agronômica (Online)instname:Universidade Federal do Ceará (UFC)instacron:UFC10.1590/S1806-66902014000300002info:eu-repo/semantics/openAccessFiorio,Peterson RicardoDemattê,José Alexandre MeloNanni,Marcos RafaelGenú,Aline MarquesMartins,Juliano Araujoeng2014-05-26T00:00:00Zoai:scielo:S1806-66902014000300002Revistahttp://www.ccarevista.ufc.br/PUBhttps://old.scielo.br/oai/scielo-oai.php||alekdutra@ufc.br|| ccarev@ufc.br1806-66900045-6888opendoar:2014-05-26T00:00Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC)false
dc.title.none.fl_str_mv In situ separation of soil types along transects employing Vis-NIR sensors: a new view of soil evaluation
title In situ separation of soil types along transects employing Vis-NIR sensors: a new view of soil evaluation
spellingShingle In situ separation of soil types along transects employing Vis-NIR sensors: a new view of soil evaluation
Fiorio,Peterson Ricardo
Remote sensing
Soil survey
Reflectance
Soil spectroradiometry
title_short In situ separation of soil types along transects employing Vis-NIR sensors: a new view of soil evaluation
title_full In situ separation of soil types along transects employing Vis-NIR sensors: a new view of soil evaluation
title_fullStr In situ separation of soil types along transects employing Vis-NIR sensors: a new view of soil evaluation
title_full_unstemmed In situ separation of soil types along transects employing Vis-NIR sensors: a new view of soil evaluation
title_sort In situ separation of soil types along transects employing Vis-NIR sensors: a new view of soil evaluation
author Fiorio,Peterson Ricardo
author_facet Fiorio,Peterson Ricardo
Demattê,José Alexandre Melo
Nanni,Marcos Rafael
Genú,Aline Marques
Martins,Juliano Araujo
author_role author
author2 Demattê,José Alexandre Melo
Nanni,Marcos Rafael
Genú,Aline Marques
Martins,Juliano Araujo
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Fiorio,Peterson Ricardo
Demattê,José Alexandre Melo
Nanni,Marcos Rafael
Genú,Aline Marques
Martins,Juliano Araujo
dc.subject.por.fl_str_mv Remote sensing
Soil survey
Reflectance
Soil spectroradiometry
topic Remote sensing
Soil survey
Reflectance
Soil spectroradiometry
description Soil components, such as organic matter, the levels and form of iron oxides, moisture and texture, influence the interaction of the soil with electromagnetic energy, so that knowledge of the energy reflected by different classes of soil is therefore of help in their discrimination. The aim of this study was to evaluate the possibility of differentiating classes of soils along two transects, by means of the field spectral behaviour of different classes, using both visual and multivariate statistical analysis. Equidistant points were marked along the transects, 100 m apart, where geo-referenced soil samples were collected from the surface layer at a depth of 0 to 0.20 m. In the area under study, ten classes of soil were described by means of laboratory analysis of surface samples and a morphological description of the profiles, with each soil being classified according to the Brazilian System of Soil Classification. For separating soil units and establishing their boundaries in the landscape three methods were used: a) traditional, evaluating the correlation between soil and landscape; b) qualitative assessment of the spectral curves; c) multivariate analysis for discrimination of the classes of soil. Comparison of these methods made possible the use of spectroradiometry in differentiating the classes of soil, with the statistical method separating a larger number of classes. It was possible to delimit the boundaries of the soil units in the area under study, as well as differences in texture, colour, total iron and organic matter between units, by varying the spectral responses of the soil samples being tested.
publishDate 2014
dc.date.none.fl_str_mv 2014-09-01
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=S1806-66902014000300002
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902014000300002
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S1806-66902014000300002
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 Universidade Federal do Ceará
publisher.none.fl_str_mv Universidade Federal do Ceará
dc.source.none.fl_str_mv Revista Ciência Agronômica v.45 n.3 2014
reponame:Revista ciência agronômica (Online)
instname:Universidade Federal do Ceará (UFC)
instacron:UFC
instname_str Universidade Federal do Ceará (UFC)
instacron_str UFC
institution UFC
reponame_str Revista ciência agronômica (Online)
collection Revista ciência agronômica (Online)
repository.name.fl_str_mv Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC)
repository.mail.fl_str_mv ||alekdutra@ufc.br|| ccarev@ufc.br
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