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 | Acesso ao texto completo restrito à biblioteca da Embrapa Solos. Para informações adicionais entre em contato com cnps.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
07/02/2014 |
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Data da última atualização: |
07/02/2014 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
XUE-YU, H.; VASQUES, G. de M.; GRUNWALD, S. |
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Afiliação: |
H Xue-Yu; GUSTAVO DE MATTOS VASQUES, CNPS. |
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Título: |
Application of visible/near-Infrared spectra in modeling of soil Total phosphorus. |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
Pedosphere, China v. 23, n. 4, p. 417- 421, 2013. |
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Páginas: |
5p. |
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ISSN: |
1002-0160 |
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Idioma: |
Português |
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Conteúdo: |
Overabundance of phosphorus (P) in soils and water is of great concern and has received much attention in Florida, USA. Therefore, it is essential to analyze and predict the distribution of P in soils across large areas. This study was undertaken to model the variation of soil total phosphorus (TP) in Florida. A total of 448 soil samples were collected from different soil types. Soil samples were analyzed by chemical reference method and scanned in the visible/near-infrared (VNIR) region of 350?2 500 nm. Partial least squares regression (PLSR) calibration model was developed between chemical reference values and VNIR values. The coefficient of determination (R2) and the root mean squares error (RMSE) of calibration and validation sets, and the residual prediction deviation (RPD) were used to evaluate the models. The R2 in calibration and validation for log-transformed TP (log TP) were 0.69 and 0.65, respectively, indicating that VNIR calibration obtained in this study accounted for at least 65% of the variance in log TP using only VNIR spectra, and the high RPD of 2.82 obtained suggested that the spectral model derived in this study was suitable and robust to predict TP in a wide range of soil types, being representative of Florida soil conditions. |
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Palavras-Chave: |
Partial least square regression; Spectral model; Visible/near-infrared spectroscopy. |
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Thesaurus Nal: |
Florida; prediction. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 01934naa a2200229 a 4500
001 1979091
005 2014-02-07
008 2013 bl uuuu u00u1 u #d
022 $a1002-0160
100 1 $aXUE-YU, H.
245 $aApplication of visible/near-Infrared spectra in modeling of soil Total phosphorus.$h[electronic resource]
260 $c2013
300 $a5p.
520 $aOverabundance of phosphorus (P) in soils and water is of great concern and has received much attention in Florida, USA. Therefore, it is essential to analyze and predict the distribution of P in soils across large areas. This study was undertaken to model the variation of soil total phosphorus (TP) in Florida. A total of 448 soil samples were collected from different soil types. Soil samples were analyzed by chemical reference method and scanned in the visible/near-infrared (VNIR) region of 350?2 500 nm. Partial least squares regression (PLSR) calibration model was developed between chemical reference values and VNIR values. The coefficient of determination (R2) and the root mean squares error (RMSE) of calibration and validation sets, and the residual prediction deviation (RPD) were used to evaluate the models. The R2 in calibration and validation for log-transformed TP (log TP) were 0.69 and 0.65, respectively, indicating that VNIR calibration obtained in this study accounted for at least 65% of the variance in log TP using only VNIR spectra, and the high RPD of 2.82 obtained suggested that the spectral model derived in this study was suitable and robust to predict TP in a wide range of soil types, being representative of Florida soil conditions.
650 $aFlorida
650 $aprediction
653 $aPartial least square regression
653 $aSpectral model
653 $aVisible/near-infrared spectroscopy
700 1 $aVASQUES, G. de M.
700 1 $aGRUNWALD, S.
773 $tPedosphere, China$gv. 23, n. 4, p. 417- 421, 2013.
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| 6. |  | COELHO, M. R.; LUMBRERAS, J. F.; VASQUES, G. de M. Atributos químicos e granulometria dos solos da XI Reunião Brasileira de Classificação e Correlação de Solos (RCC de Roraima). In: BATISTA, K. D.; LUMBRERAS, J. F.; COELHO, M. R.; OLIVEIRA, V. A. de; VALE JÚNIOR, J. F. do (Ed.). Guia de campo da XI Reunião Brasileira de Classificação e Correlação de Solos: RCC de Roraima. Brasília, DF: Embrapa, 2018. E-book. cap. 4.| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Solos. |
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| 13. | | COELHO, M. R.; LUMBRERAS, J. F.; VASQUES, G. de M.; OLIVEIRA, V. A. de. Atributos químicos e granulometria dos solos da XII Reunião Brasileira de Classificação de Solos (RCC de Rondônia): um enfoque pedológico. In: LUMBRERAS, J. F.; SILVA, L. M. da; ANJOS, L. H. C. dos; OLIVEIRA, V. A. de; WADT, P. G. S.; PEREIRA, M. G.; DELARMELINDA-HONORÉ, E. A.; BURITY, K. T. L. (Ed.). Guia de campo da XII Reunião Brasileira de Classificação e Correlação de Solos: RCC de Rondônia. Brasília, DF: Embrapa, 2019. E-book. cap. 10.| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Solos. |
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| 17. | | VASQUES, G. de M.; RODRIGUES, H. M.; TAVARES, S. R. de L.; COELHO, M. R. Predicting soil clay content from NIR, gamma-ray and XRF curves. 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. 535-536. WCSS 2018.| Tipo: Resumo em Anais de Congresso |
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| Registros recuperados : 83 | |
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