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| Registros recuperados : 49 | |
| 9. |  | 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.| Biblioteca(s): Embrapa Solos; Embrapa Unidades Centrais. |
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| 11. | | MATTOS, B. B.; BACA, J. F. M.; VASQUES, G. M.; PEIXOTO, R. C.; COELHO, M. R. Desenvolvimento de método para a avaliação de atributos do solo por fluorescência de Raios-X. In: CONGRESSO LATINO-AMERICANO DE CIÊNCIA DO SOLO, 23.; CONGRESSO BRASILEIRO DE CIÊNCIA DO SOLO, 38., 2023, Florianópolis. Anais [...]. Florianópolis: Epagri, 2023. p. 474. Ref. ID 129.| Biblioteca(s): Embrapa Solos. |
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| 12. | | RODRIGUES, H. M.; VASQUES, G. M.; LEMES, M. W.; ROSAS, R. O. Avaliação do escoamento superficial e da perda de solo sob diferentes coberturas e declividades em Silva Jardim, RJ. In: SIMPÓSIO BRASILEIRO DE GEOGRAFIA FÍSICA APLICADA, 16., 2015, Teresina. Territórios brasileiros: dinâmicas, potencialidades e vulnerabilidades: anais. Teresina: UESPI, 2015. p. 2797-2803.| Biblioteca(s): Embrapa Solos. |
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| 13. | | MIZUTA, K.; GRUNWALD, S.; CROPPER, W. P.; LEE, W.; VASQUES, G. M.; PHILLIPS, M. A. Prototype development of a new soil index using econometrics method: data envelopment analysis. In: ANNUAL SOIL AND WATER SCIENCES RESEARCH FORUM, 17., 2016, Gainesville. Judged poster presentation: abstracts. Gainesville: University of Florida, 2016.| Biblioteca(s): Embrapa Solos. |
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| 15. | | 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.| Biblioteca(s): Embrapa Solos. |
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| 17. | | VASQUES, G. M.; DART, R. O.; BACA, J. F. M.; OLMEDO, G. F.; BREFIN, M. L. M. S. Treinamento em mapeamento digital de solos: carbono no Rio de Janeiro, Brasil. In: CONGRESO LATINOAMERICANO DE LA CIENCIA DEL SUELO, 20.; CONGRESO PERUANO DE LA CIENCIA DEL SUELO, 16., 2014, Cusco. Educar para preservar el suelo y conservar la vida en la tierra: trabajos. Cusco: Sociedad Latinoamericana de la Ciencia del Suelo, 2014.| Biblioteca(s): Embrapa Solos. |
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| 18. | | VASQUES, G. M.; BACA, J. F. M.; DART, R. O.; BREFIN, M. L. M. S.; OLMEDO, G. F. Treinamento presencial e à distância em mapeamento digital de solos para latinoamericanos. In: CONGRESO LATINOAMERICANO DE LA CIENCIA DEL SUELO, 20.; CONGRESO PERUANO DE LA CIENCIA DEL SUELO, 16., 2014, Cusco. Educar para preservar el suelo y conservar la vida en la tierra: trabajos. Cusco: Sociedad Latinoamericana de la Ciencia del Suelo, 2014.| Biblioteca(s): Embrapa Solos. |
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| 19. | | COELHO, M. R.; DART, R. de O.; VASQUES, G. M.; DANTAS, M. E.; SHINZATO, E.; ESPÍRITO SANTO, M. M. do. Relação solo-paisagem em florestas estacionais, região Norte de Minas Gerais. In: CONGRESSO BRASILEIRO DE CIÊNCIA DO SOLO, 35., 2015, Natal. O solo e suas múltiplas funções: anais. Natal: Sociedade Brasileira de Ciência do Solo, 2015.| Biblioteca(s): Embrapa Solos. |
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| Registros recuperados : 49 | |
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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. |
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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Circulação/Nível: |
A - 1 |
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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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