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Registro Completo |
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
11/02/2015 |
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Data da última atualização: |
08/11/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
VASQUES, G. M.; DEMATTÊ, J. A. M.; ROSSEL, R. A. V.; RAMÍREZ-LÓPEZ, L.; TERRA, F. S. |
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Afiliação: |
GUSTAVO DE MATTOS VASQUES, CNPS; J. A. M. DEMATTÊ, USP; RAPHAEL A. VISCARRA ROSSEL, CSIRO; L. RAMÍREZ-LÓPEZ, SWISS FEDERAL INSTITUTE FOR FOREST; F. S. TERRA, USP. |
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Título: |
Soil classification using visible/near-infrared diffuse reflectance spectra from multiple depths. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Geoderma, v. 223/225, p. 73-78, Jul. 2014. |
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DOI: |
https://doi.org/10.1016/j.geoderma.2014.01.019 |
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Idioma: |
Inglês |
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Conteúdo: |
Visible/near-infrared diffuse reflectance spectroscopy (VNIRDRS) offers an alternative to conventional analytical methods to estimate various soil attributes. However, the use of VNIRDRS in soil survey and taxonomic classification is still underexplored. We investigated the potential use of VNIRDRS to classify soils in a region with variable soils, geology, and topography in southeastern Brazil. Soils were classified in the field according to the Brazilian Soil Classification System, and visible/near-infrared (400-2500 nm) spectra were collected from three depth intervals (0-20, 40-60 and 80-100 cm) and combined in sequence to compose a pseudo multi-depth spectral curve, which was used to derive the classification models. Principal component (PC) analysis and multinomial logistic regression were used to classify 291 soils (202 in calibration and 89 in validation mode) at the levels of order (highest), suborder (second highest) and suborder plus textural classification (STC). Based on the validation results, best classification was obtained at the order level (67% agreement rate), followed by suborder (48% agreement) and STC (24% agreement). The inherent complexity and variability within soil taxonomic groups and in contrast the strong similarity among different groups in terms of soil spectra and other attributes cause confusion in the classification model. This novel approach combining spectral data from different depths in multivariate classification can improve soil classification and survey in a cost-efficient manner, supporting sustainable use and management of tropical soils. MenosVisible/near-infrared diffuse reflectance spectroscopy (VNIRDRS) offers an alternative to conventional analytical methods to estimate various soil attributes. However, the use of VNIRDRS in soil survey and taxonomic classification is still underexplored. We investigated the potential use of VNIRDRS to classify soils in a region with variable soils, geology, and topography in southeastern Brazil. Soils were classified in the field according to the Brazilian Soil Classification System, and visible/near-infrared (400-2500 nm) spectra were collected from three depth intervals (0-20, 40-60 and 80-100 cm) and combined in sequence to compose a pseudo multi-depth spectral curve, which was used to derive the classification models. Principal component (PC) analysis and multinomial logistic regression were used to classify 291 soils (202 in calibration and 89 in validation mode) at the levels of order (highest), suborder (second highest) and suborder plus textural classification (STC). Based on the validation results, best classification was obtained at the order level (67% agreement rate), followed by suborder (48% agreement) and STC (24% agreement). The inherent complexity and variability within soil taxonomic groups and in contrast the strong similarity among different groups in terms of soil spectra and other attributes cause confusion in the classification model. This novel approach combining spectral data from different depths in multivariate classification can improve soil class... Mostrar Tudo |
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Palavras-Chave: |
Análise dos componentes principais; Classificação multivariada; Sistema Brasileiro de Classificação do Solo. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02355naa a2200217 a 4500
001 2008483
005 2021-11-08
008 2014 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.geoderma.2014.01.019$2DOI
100 1 $aVASQUES, G. M.
245 $aSoil classification using visible/near-infrared diffuse reflectance spectra from multiple depths.$h[electronic resource]
260 $c2014
520 $aVisible/near-infrared diffuse reflectance spectroscopy (VNIRDRS) offers an alternative to conventional analytical methods to estimate various soil attributes. However, the use of VNIRDRS in soil survey and taxonomic classification is still underexplored. We investigated the potential use of VNIRDRS to classify soils in a region with variable soils, geology, and topography in southeastern Brazil. Soils were classified in the field according to the Brazilian Soil Classification System, and visible/near-infrared (400-2500 nm) spectra were collected from three depth intervals (0-20, 40-60 and 80-100 cm) and combined in sequence to compose a pseudo multi-depth spectral curve, which was used to derive the classification models. Principal component (PC) analysis and multinomial logistic regression were used to classify 291 soils (202 in calibration and 89 in validation mode) at the levels of order (highest), suborder (second highest) and suborder plus textural classification (STC). Based on the validation results, best classification was obtained at the order level (67% agreement rate), followed by suborder (48% agreement) and STC (24% agreement). The inherent complexity and variability within soil taxonomic groups and in contrast the strong similarity among different groups in terms of soil spectra and other attributes cause confusion in the classification model. This novel approach combining spectral data from different depths in multivariate classification can improve soil classification and survey in a cost-efficient manner, supporting sustainable use and management of tropical soils.
653 $aAnálise dos componentes principais
653 $aClassificação multivariada
653 $aSistema Brasileiro de Classificação do Solo
700 1 $aDEMATTÊ, J. A. M.
700 1 $aROSSEL, R. A. V.
700 1 $aRAMÍREZ-LÓPEZ, L.
700 1 $aTERRA, F. S.
773 $tGeoderma$gv. 223/225, p. 73-78, Jul. 2014.
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Registro original: |
Embrapa Solos (CNPS) |
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Biblioteca |
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| Registros recuperados : 133 | |
| 41. |  | 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 |
| Biblioteca(s): Embrapa Solos. |
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| 44. | | VASQUES, G. M.; COELHO, M. R.; DART, R. O.; OLIVEIRA, R. P.; TEIXEIRA, W. G. Mapping soil carbon, particle-size fractions, and water retention in tropical dry forest in Brazil. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 51, n. 9, p. 1371-1385, set. 2016.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Solos; Embrapa Unidades Centrais. |
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| 45. | | COELHO, M. R.; LUMBRERAS, J. F.; VASQUES, G. de M.; OLIVEIRA, V. A. de; SILVA, M. B. e. Atributos químicos e granulometria dos solos da XIII Reunião Brasileira de Classificação e Correlação de Solos: um enfoque pedológico. In: SILVA, M. B. e; LUMBRERAS, J. F.; COELHO, M. R.; OLIVEIRA, V. A. de (ed.). Guia de campo da XIII Reunião Brasileira de Classificação e Correlação de Solos: RCC do Maranhão. Brasília, DF: Embrapa, 2020. E-book. cap. 7.| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Solos. |
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| 46. | | LUZ, L. B.; VASQUES, G. M.; ARAÚJO, T. M.; BENTO, G. C.; MELO, J. R. C.; BHERING, S. B. Building a geographic soil VisNIR and XRF spectral library: methods and data overview. In: SIMPÓSIO BRASILEIRO DE GEOINFORMÁTICA, 24., 2023, São José dos Campos. Anais [...]. São José dos Campos: INPE, 2023. p. 339-344. GEOINFO.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Solos. |
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| 50. | | FERRAZ, R. P. D.; SIMÕES, M.; VASQUES, G. de M.; COELHO, M. R.; LUMBRERAS, J. F.; DART, R. de O. Convergência das tecnologias digitais e da informação. In: TORRES, L. A.; CAMPOS, S. K. (ed.). Megatendências da Ciência do Solo 2030. Brasília, DF: Embrapa, 2022. E-book. cap. 3.| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Solos. |
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| 51. | | OLIVEIRA, A. P. de; COELHO, M. R.; D'ANDREA, A. F.; SILVA, O. A. da; VASQUES, G. de M. Soils and soil organic carbon stocks in the Restinga de Cabedelo National Forest, in Cabedelo and João Pessoa municipalities, Paraíba state, Brazil. 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. 60. WCSS 2018.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Solos. |
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| 54. | | FILARTIGA, A. L.; MANTUANO, D.; VIEIRA, R. C.; DE TONI, K. L. G.; VASQUES, G. de M.; MANTOVANI, A. Root morphophysiology changes during the habitat transition from soil to canopy of the aroid vine Rhodospatha oblongata. Annals of Botany, v. 127, n. 3, p. 347-360, Feb. 2021.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Solos. |
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| 60. | | LEMES, M.; MACHADO, A.; VASQUES, G. de M.; RODRIGUES, H. M.; LOPES, R. T.; ROSAS, R. O. Influence of soil cover on pore distribution in a Ferralsol evaluated by 3D computerized microCT. In: PEDOMETRICS BRAZIL, 2., 2021, Rio de Janeiro. Annals [...]. Rio de Janeiro: Embrapa Solos, 2022. Não paginado. Evento online.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Solos. |
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| Registros recuperados : 133 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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