Proximal soil sensing platform for effective mapping of soil attributes in Brazil.

Detalhes bibliográficos
Autor(a) principal: OLIVEIRA, R. P. de
Data de Publicação: 2019
Outros Autores: RODRIGUES, H. M., VASQUES, G. de M., TAVARES, S. R. de L., HERNANI, L. C., BACA, J. F. M., COELHO, M. R.
Idioma: eng
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1112779
Resumo: Sustainable management of agricultural lands requires detailed information on soil properties. Although the literature has shown the potential of PSS data integration to predict spatial variations of soil properties, most of these studies were done in temperate soils considering up to three sensors. Study cases here introduced to contribute in applying PSS to: (i) assess the spatial variation of tropical soil chemical and physical attributes; (ii) understand processes controlling spatial soil variations; and (iii) compare spatial dependence and patterns among proximally-sensed and laboratory-measured soil attributes. In three preliminary study cases PSS was applied for digital soil mapping, soil salinity mapping, and within-field crop variations. Hand held and "on-the-go" sensors, respectively, for point-based and continuous monitoring readings, include apparent electrical conductivity and magnetic susceptibility meters; gamma ray, X-ray fluorescence and near infrared spectrometers; and mechanical resistance meters among others. Variables were significantly correlated (p < 0.05), and their spatial dependence structure (i.e: variogram analysis) and the spatial distribution patterns (i.e.: kriging) were all-similar. In addition, combined PSS datasets have shown improved predictions of soil properties (i.e.: R2adj. from 0.21 to 0.94). Results have indicated the potential of PSS to assess the spatial variation of soil attributes that are more difficult to collect and analyze, supporting detailed soil mapping for precision agriculture and related activities.
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spelling Proximal soil sensing platform for effective mapping of soil attributes in Brazil.Sensoriamento ProximalAtributos do SoloMapeamento Digital do SoloSensoriamento RemotoSolo TropicalMapaRemote sensingTropical soilsDigital imagesSoil mapSustainable management of agricultural lands requires detailed information on soil properties. Although the literature has shown the potential of PSS data integration to predict spatial variations of soil properties, most of these studies were done in temperate soils considering up to three sensors. Study cases here introduced to contribute in applying PSS to: (i) assess the spatial variation of tropical soil chemical and physical attributes; (ii) understand processes controlling spatial soil variations; and (iii) compare spatial dependence and patterns among proximally-sensed and laboratory-measured soil attributes. In three preliminary study cases PSS was applied for digital soil mapping, soil salinity mapping, and within-field crop variations. Hand held and "on-the-go" sensors, respectively, for point-based and continuous monitoring readings, include apparent electrical conductivity and magnetic susceptibility meters; gamma ray, X-ray fluorescence and near infrared spectrometers; and mechanical resistance meters among others. Variables were significantly correlated (p < 0.05), and their spatial dependence structure (i.e: variogram analysis) and the spatial distribution patterns (i.e.: kriging) were all-similar. In addition, combined PSS datasets have shown improved predictions of soil properties (i.e.: R2adj. from 0.21 to 0.94). Results have indicated the potential of PSS to assess the spatial variation of soil attributes that are more difficult to collect and analyze, supporting detailed soil mapping for precision agriculture and related activities.RONALDO PEREIRA DE OLIVEIRA, CNPS; HUGO M. RODRIGUES, UFRRJ; GUSTAVO DE MATTOS VASQUES, CNPS; SILVIO ROBERTO DE LUCENA TAVARES, CNPS; LUIS CARLOS HERNANI, CNPS; JESUS FERNANDO MANSILLA BACA, CNPS; MAURICIO RIZZATO COELHO, CNPS.OLIVEIRA, R. P. deRODRIGUES, H. M.VASQUES, G. de M.TAVARES, S. R. de L.HERNANI, L. C.BACA, J. F. M.COELHO, M. R.2019-10-04T18:06:28Z2019-10-04T18:06:28Z2019-10-0420192019-10-04T18:06:28ZArtigo em anais e proceedingsinfo:eu-repo/semantics/publishedVersionIn: GLOBAL WORKSHOP ON PROXIMAL SOIL SENSING, 5., 2019, Columbia, MO. Program and proceedings. Columbia, MO: University of Missouri, 2019. p. 273-278.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1112779enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2019-10-04T18:06:35Zoai:www.alice.cnptia.embrapa.br:doc/1112779Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542019-10-04T18:06:35Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Proximal soil sensing platform for effective mapping of soil attributes in Brazil.
title Proximal soil sensing platform for effective mapping of soil attributes in Brazil.
spellingShingle Proximal soil sensing platform for effective mapping of soil attributes in Brazil.
OLIVEIRA, R. P. de
Sensoriamento Proximal
Atributos do Solo
Mapeamento Digital do Solo
Sensoriamento Remoto
Solo Tropical
Mapa
Remote sensing
Tropical soils
Digital images
Soil map
title_short Proximal soil sensing platform for effective mapping of soil attributes in Brazil.
title_full Proximal soil sensing platform for effective mapping of soil attributes in Brazil.
title_fullStr Proximal soil sensing platform for effective mapping of soil attributes in Brazil.
title_full_unstemmed Proximal soil sensing platform for effective mapping of soil attributes in Brazil.
title_sort Proximal soil sensing platform for effective mapping of soil attributes in Brazil.
author OLIVEIRA, R. P. de
author_facet OLIVEIRA, R. P. de
RODRIGUES, H. M.
VASQUES, G. de M.
TAVARES, S. R. de L.
HERNANI, L. C.
BACA, J. F. M.
COELHO, M. R.
author_role author
author2 RODRIGUES, H. M.
VASQUES, G. de M.
TAVARES, S. R. de L.
HERNANI, L. C.
BACA, J. F. M.
COELHO, M. R.
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv RONALDO PEREIRA DE OLIVEIRA, CNPS; HUGO M. RODRIGUES, UFRRJ; GUSTAVO DE MATTOS VASQUES, CNPS; SILVIO ROBERTO DE LUCENA TAVARES, CNPS; LUIS CARLOS HERNANI, CNPS; JESUS FERNANDO MANSILLA BACA, CNPS; MAURICIO RIZZATO COELHO, CNPS.
dc.contributor.author.fl_str_mv OLIVEIRA, R. P. de
RODRIGUES, H. M.
VASQUES, G. de M.
TAVARES, S. R. de L.
HERNANI, L. C.
BACA, J. F. M.
COELHO, M. R.
dc.subject.por.fl_str_mv Sensoriamento Proximal
Atributos do Solo
Mapeamento Digital do Solo
Sensoriamento Remoto
Solo Tropical
Mapa
Remote sensing
Tropical soils
Digital images
Soil map
topic Sensoriamento Proximal
Atributos do Solo
Mapeamento Digital do Solo
Sensoriamento Remoto
Solo Tropical
Mapa
Remote sensing
Tropical soils
Digital images
Soil map
description Sustainable management of agricultural lands requires detailed information on soil properties. Although the literature has shown the potential of PSS data integration to predict spatial variations of soil properties, most of these studies were done in temperate soils considering up to three sensors. Study cases here introduced to contribute in applying PSS to: (i) assess the spatial variation of tropical soil chemical and physical attributes; (ii) understand processes controlling spatial soil variations; and (iii) compare spatial dependence and patterns among proximally-sensed and laboratory-measured soil attributes. In three preliminary study cases PSS was applied for digital soil mapping, soil salinity mapping, and within-field crop variations. Hand held and "on-the-go" sensors, respectively, for point-based and continuous monitoring readings, include apparent electrical conductivity and magnetic susceptibility meters; gamma ray, X-ray fluorescence and near infrared spectrometers; and mechanical resistance meters among others. Variables were significantly correlated (p < 0.05), and their spatial dependence structure (i.e: variogram analysis) and the spatial distribution patterns (i.e.: kriging) were all-similar. In addition, combined PSS datasets have shown improved predictions of soil properties (i.e.: R2adj. from 0.21 to 0.94). Results have indicated the potential of PSS to assess the spatial variation of soil attributes that are more difficult to collect and analyze, supporting detailed soil mapping for precision agriculture and related activities.
publishDate 2019
dc.date.none.fl_str_mv 2019-10-04T18:06:28Z
2019-10-04T18:06:28Z
2019-10-04
2019
2019-10-04T18:06:28Z
dc.type.driver.fl_str_mv Artigo em anais e proceedings
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv In: GLOBAL WORKSHOP ON PROXIMAL SOIL SENSING, 5., 2019, Columbia, MO. Program and proceedings. Columbia, MO: University of Missouri, 2019. p. 273-278.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1112779
identifier_str_mv In: GLOBAL WORKSHOP ON PROXIMAL SOIL SENSING, 5., 2019, Columbia, MO. Program and proceedings. Columbia, MO: University of Missouri, 2019. p. 273-278.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1112779
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
collection Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
repository.name.fl_str_mv Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv cg-riaa@embrapa.br
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