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| Registros recuperados : 34 | |
| 22. |  | LEMES, M. W. A.; VASQUES, G. de M.; MACHADO, A. S.; RODRIGUES, H. M.; LOPES, R. T.; ROSAS, R. O. X-ray computed microtomography against retention curve for assessing porosity in Latossolos (Ferralsols) with contrasting vegetation cover. In: WORLD CONGRESS OF SOIL SCIENCE, 21., 2018, Rio de Janeiro. Soil science: beyond food and fuel: proceedings... Viçosa, MG: SBCS, 2019. v. 2, p. 19-20. WCSS 2018.| Biblioteca(s): Embrapa Solos. |
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| 23. | | ESQUENAZI, D.; WIGG, M. D.; MIRANDA, M. M. F. S.; RODRIGUES, H. M.; TOSTES, J. B. F.; ROZENTAL, S.; SILVA, A. J. R. da; ALVIANO, C. S. Antimicrobial and antiviral activities of polyphenolics from Cocos nucifera Linn. (Palmae) husk fiber extract. Research in Microbiology, v.153, p.647-652, 2002.| Biblioteca(s): Embrapa Agroindústria Tropical. |
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| 24. | | 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. Proximal soil sensing platform for effective mapping of soil attributes in Brazil. In: GLOBAL WORKSHOP ON PROXIMAL SOIL SENSING, 5., 2019, Columbia, MO. Program and proceedings. Columbia, MO: University of Missouri, 2019. p. 273-278.| Biblioteca(s): Embrapa Solos. |
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| 25. | | RODRIGUES, H. M.; NASCIMENTO, C. W. R. do; CEDDIA, M. B.; VASQUES, G. de M.; NUNES, J. F.; SANTOS, F. B. dos. Uso de barras de ferro para diferenciação entre horizontes de três classes de solo utilizando radar de penetração do solo (GPR) com antena monoestática de 750 MHz. In: SIMPÓSIO BRASILEIRO DE GEOGRAFIA FÍSICA APLICADA, 18., 2019, Fortaleza. Geografia física e as mudanças globais. Fortaleza: Editora UFC, 2019.| Biblioteca(s): Embrapa Solos. |
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| 26. | | VASQUES, G. de M.; RODRIGUES, H. M.; COELHO, M. R.; BACA, J. F. M.; DART, R. de O.; OLIVEIRA, R. P. de; TEIXEIRA, W. G.; CEDDIA, M. B. Field proximal soil sensor fusion for improving high-resolution soil property maps. Soil Systems, v. 4, n. 3, 52, 2020.| Biblioteca(s): Embrapa Solos. |
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| 27. | | RODRIGUES, H. M.; VASQUES, G. de M.; OLIVEIRA, R. P. de; TAVARES, S. R. de L.; CEDDIA, M. B.; HERNANI, L. C. Finding suitable transect spacing and sampling designs for accurate soil ECa mapping from EM38-MK2. Soil Systems, v. 4, n. 3, 56, 2020.| Biblioteca(s): Embrapa Solos. |
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| 29. | | VASQUES, G. de M.; RODRIGUES, H. M.; HUBER, E.; TAVARES, S. R. de L.; MARQUES, F. A.; SILVA, M. S. L. da. Ground penetrating radar non-invasively positions an underground dam and estimates its water reservoir shape and volume. In: PEDOMETRICS BRAZIL, 2., 2021, Rio de Janeiro. Annals [...]. Rio de Janeiro: Embrapa Solos, 2022. Não paginado. Evento online.| Biblioteca(s): Embrapa Solos. |
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| 30. | | NASCIMENTO, C. W. R. do; RODRIGUES, H. M.; CEDDIA, M. B.; VASQUES, G. de M.; DURÃO, S. M. de O.; FIGUEIRA, H. F. V. Identificação de limites entre duas classes de solo utilizando radar de penetração no solo com profundidades ajustadas por barras de ferro e validação com trado holandês. In: SIMPÓSIO BRASILEIRO DE GEOGRAFIA FÍSICA APLICADA, 18., 2019, Fortaleza. Geografia física e as mudanças globais. Fortaleza: Editora UFC, 2019.| Biblioteca(s): Embrapa Solos. |
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| 32. | | NASCIMENTO, C. W. R. do; RODRIGUES, H. M.; CEDDIA, M. B.; VASQUES, G. de M.; DURÃO, S. M. de O.; SANTOS, W. de M.; FREIRE, M. de O. Identificação em profundidade de barras de ferro utilizando radar de penetração do solo (GPR) com antena de 450 MHz em três classes de solo. In: SIMPÓSIO BRASILEIRO DE GEOGRAFIA FÍSICA APLICADA, 18., 2019, Fortaleza. Geografia física e as mudanças globais. Fortaleza: Editora UFC, 2019.| Biblioteca(s): Embrapa Solos. |
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| 33. | | RODRIGUES, H. M.; CEDDIA, M. B.; VASQUES, G. M.; MULDER, V. L.; HEUVELINK, G. B. M.; OLIVEIRA, R. P. de; BRANDAO, Z. N.; MORAIS, J. P. S.; NEVES, M. L.; TAVARES, S. R. de L. Remote sensing and kriging with external drift to improve sparse proximal soil sensing data and define management zones in precision agriculture. AgriEngineering, v. 5, n. 4, p. 2326-2348, 2023.| Biblioteca(s): Embrapa Algodão; Embrapa Solos; Embrapa Solos / UEP-Recife. |
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| 34. | | NASCIMENTO, C. W. R. do; RODRIGUES, H. M.; CEDDIA, M. B.; VASQUES, G. de M.; DURÃO, S. M. de O.; GONÇALVES, J. F. da S.; FREIRE, M. de O. Utilização integrada do radar de penetração do solo (GPR) e gamaespectrômetro como subsídio na identificação da transição entre um Planossolo Háplico e um Argissolo Vermelho. In: SIMPÓSIO BRASILEIRO DE GEOGRAFIA FÍSICA APLICADA, 18., 2019, Fortaleza. Geografia física e as mudanças globais. Fortaleza: Editora UFC, 2019.| Biblioteca(s): Embrapa Solos. |
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| Registros recuperados : 34 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
04/10/2019 |
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Data da última atualização: |
04/10/2019 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
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. |
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Afiliação: |
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. |
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Título: |
Proximal soil sensing platform for effective mapping of soil attributes in Brazil. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
In: GLOBAL WORKSHOP ON PROXIMAL SOIL SENSING, 5., 2019, Columbia, MO. Program and proceedings. Columbia, MO: University of Missouri, 2019. p. 273-278. |
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Idioma: |
Inglês |
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Conteúdo: |
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. MenosSustainable 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, su... Mostrar Tudo |
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Palavras-Chave: |
Atributos do Solo; Mapeamento Digital do Solo; Sensoriamento Proximal. |
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Thesagro: |
Mapa; Sensoriamento Remoto; Solo Tropical. |
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Thesaurus NAL: |
Digital images; Remote sensing; Soil map; Tropical soils. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/202570/1/Proximal-Soil-Sensing-Platform-for-Effective-Mapping-of-Soil-Attributes-in-Brazil-2019.pdf
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Marc: |
LEADER 02568nam a2200301 a 4500
001 2112779
005 2019-10-04
008 2019 bl uuuu u00u1 u #d
100 1 $aOLIVEIRA, R. P. de
245 $aProximal soil sensing platform for effective mapping of soil attributes in Brazil.$h[electronic resource]
260 $aIn: GLOBAL WORKSHOP ON PROXIMAL SOIL SENSING, 5., 2019, Columbia, MO. Program and proceedings. Columbia, MO: University of Missouri, 2019. p. 273-278.$c2019
520 $aSustainable 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.
650 $aDigital images
650 $aRemote sensing
650 $aSoil map
650 $aTropical soils
650 $aMapa
650 $aSensoriamento Remoto
650 $aSolo Tropical
653 $aAtributos do Solo
653 $aMapeamento Digital do Solo
653 $aSensoriamento Proximal
700 1 $aRODRIGUES, H. M.
700 1 $aVASQUES, G. de M.
700 1 $aTAVARES, S. R. de L.
700 1 $aHERNANI, L. C.
700 1 $aBACA, J. F. M.
700 1 $aCOELHO, M. R.
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