Numerical classification and digital elevation model to spatial characterization of soil attributes

Detalhes bibliográficos
Autor(a) principal: da Silva Jr., Jõo F. [UNESP]
Data de Publicação: 2012
Outros Autores: Siqueira, Diego S. [UNESP], Júnior, José Marques [UNESP], Pereira, Gener T. [UNESP]
Tipo de documento: Artigo
Idioma: eng
por
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1590/S1415-43662012000400012
http://hdl.handle.net/11449/219781
Resumo: One of needs of modern agriculture is the prediction of spatial variability of soil properties at more detailed scales for sustainable management and optimization of management practices. The mathematical model associated with knowledge of variability of soil attributes and mapping of relief forms has helped in agricultural planning. In this regard the aim of this study was to characterize the spatial variability of physical and chemical properties of Oxisols and Ultisols using numerical classification and the digital elevation model. Two distinct landforms: convex for the Oxisol (158 ha) and linear for the Ultisol (172 ha). 53 samples from the Oxisol and 57 samples from the Ultisol were taken. Multivariate analysis of clusters of attributes studied from their euclidean distances was performed. This analysis by dendograms along with digital elevation models for different soils characterized was more homogeneous in Ultisol groups, and less homogeneous for the Oxisol in convex landform. These quantitative methods showed that the landforms conditioned the spatial pattern of soil attributes.
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spelling Numerical classification and digital elevation model to spatial characterization of soil attributesClassificação numérica e modelo digital de elevação na caracterização espacial de atributos dos solosHybrid mappingMultivariate analysisPrecision agricultureSoil-landscape relationshipsOne of needs of modern agriculture is the prediction of spatial variability of soil properties at more detailed scales for sustainable management and optimization of management practices. The mathematical model associated with knowledge of variability of soil attributes and mapping of relief forms has helped in agricultural planning. In this regard the aim of this study was to characterize the spatial variability of physical and chemical properties of Oxisols and Ultisols using numerical classification and the digital elevation model. Two distinct landforms: convex for the Oxisol (158 ha) and linear for the Ultisol (172 ha). 53 samples from the Oxisol and 57 samples from the Ultisol were taken. Multivariate analysis of clusters of attributes studied from their euclidean distances was performed. This analysis by dendograms along with digital elevation models for different soils characterized was more homogeneous in Ultisol groups, and less homogeneous for the Oxisol in convex landform. These quantitative methods showed that the landforms conditioned the spatial pattern of soil attributes.FCAV/UNESP, Via de acesso Prof. Paulo Donato Castellane s/n, CEP 14884-900 Jaboticabal, SPFCAV/UNESP, Via de acesso Prof. Paulo Donato Castellane s/n, CEP 14884-900 Jaboticabal, SPUniversidade Estadual Paulista (UNESP)da Silva Jr., Jõo F. [UNESP]Siqueira, Diego S. [UNESP]Júnior, José Marques [UNESP]Pereira, Gener T. [UNESP]2022-04-28T18:57:25Z2022-04-28T18:57:25Z2012-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article415-424http://dx.doi.org/10.1590/S1415-43662012000400012Revista Brasileira de Engenharia Agricola e Ambiental, v. 16, n. 4, p. 415-424, 2012.1807-19291415-4366http://hdl.handle.net/11449/21978110.1590/S1415-436620120004000122-s2.0-84858786686Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengporRevista Brasileira de Engenharia Agricola e Ambientalinfo:eu-repo/semantics/openAccess2022-04-28T18:57:25Zoai:repositorio.unesp.br:11449/219781Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:37:08.547187Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Numerical classification and digital elevation model to spatial characterization of soil attributes
Classificação numérica e modelo digital de elevação na caracterização espacial de atributos dos solos
title Numerical classification and digital elevation model to spatial characterization of soil attributes
spellingShingle Numerical classification and digital elevation model to spatial characterization of soil attributes
da Silva Jr., Jõo F. [UNESP]
Hybrid mapping
Multivariate analysis
Precision agriculture
Soil-landscape relationships
title_short Numerical classification and digital elevation model to spatial characterization of soil attributes
title_full Numerical classification and digital elevation model to spatial characterization of soil attributes
title_fullStr Numerical classification and digital elevation model to spatial characterization of soil attributes
title_full_unstemmed Numerical classification and digital elevation model to spatial characterization of soil attributes
title_sort Numerical classification and digital elevation model to spatial characterization of soil attributes
author da Silva Jr., Jõo F. [UNESP]
author_facet da Silva Jr., Jõo F. [UNESP]
Siqueira, Diego S. [UNESP]
Júnior, José Marques [UNESP]
Pereira, Gener T. [UNESP]
author_role author
author2 Siqueira, Diego S. [UNESP]
Júnior, José Marques [UNESP]
Pereira, Gener T. [UNESP]
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv da Silva Jr., Jõo F. [UNESP]
Siqueira, Diego S. [UNESP]
Júnior, José Marques [UNESP]
Pereira, Gener T. [UNESP]
dc.subject.por.fl_str_mv Hybrid mapping
Multivariate analysis
Precision agriculture
Soil-landscape relationships
topic Hybrid mapping
Multivariate analysis
Precision agriculture
Soil-landscape relationships
description One of needs of modern agriculture is the prediction of spatial variability of soil properties at more detailed scales for sustainable management and optimization of management practices. The mathematical model associated with knowledge of variability of soil attributes and mapping of relief forms has helped in agricultural planning. In this regard the aim of this study was to characterize the spatial variability of physical and chemical properties of Oxisols and Ultisols using numerical classification and the digital elevation model. Two distinct landforms: convex for the Oxisol (158 ha) and linear for the Ultisol (172 ha). 53 samples from the Oxisol and 57 samples from the Ultisol were taken. Multivariate analysis of clusters of attributes studied from their euclidean distances was performed. This analysis by dendograms along with digital elevation models for different soils characterized was more homogeneous in Ultisol groups, and less homogeneous for the Oxisol in convex landform. These quantitative methods showed that the landforms conditioned the spatial pattern of soil attributes.
publishDate 2012
dc.date.none.fl_str_mv 2012-01-01
2022-04-28T18:57:25Z
2022-04-28T18:57:25Z
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://dx.doi.org/10.1590/S1415-43662012000400012
Revista Brasileira de Engenharia Agricola e Ambiental, v. 16, n. 4, p. 415-424, 2012.
1807-1929
1415-4366
http://hdl.handle.net/11449/219781
10.1590/S1415-43662012000400012
2-s2.0-84858786686
url http://dx.doi.org/10.1590/S1415-43662012000400012
http://hdl.handle.net/11449/219781
identifier_str_mv Revista Brasileira de Engenharia Agricola e Ambiental, v. 16, n. 4, p. 415-424, 2012.
1807-1929
1415-4366
10.1590/S1415-43662012000400012
2-s2.0-84858786686
dc.language.iso.fl_str_mv eng
por
language eng
por
dc.relation.none.fl_str_mv Revista Brasileira de Engenharia Agricola e Ambiental
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 415-424
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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