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| 4. |  | VASQUES, G. M.; DEMATTÊ, J. A. M.; VISCARRA ROSSEL, R. A.; RAMÍREZ LÓPEZ, S.; TERRA, F. S.; RIZZO, R.; SOUZA FILHO, C. R. de. Integrating geospatial and multi-depth laboratory spectral data for mapping soil classes in a geologically complex area in southeastern Brazil. European Journal of Soil Science, v. 66, n. 4, p. 767-779, Jul. 2015.| Biblioteca(s): Embrapa Solos. |
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| Registros recuperados : 4 | |
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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: |
15/03/2012 |
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Data da última atualização: |
06/11/2012 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
VASQUES, G. M.; JOSÉ A. M.; ROSSEL, R. V.; LÓPEZ, L. R.; TERRA, F. S.; RIZZO, R. |
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Título: |
Mapping of soil classes in a complex tropical environment enhanced by by stream density and laboratory spesctroscopy. |
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Ano de publicação: |
2011 |
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Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE CIÊNCIA DO SOLO, 33., 2011, Uberlândia, MG. |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract : There is need to integrate methods to enhance soil maps across large areas. This study proposes a novel and simple method to incorporate laboratory soil spectral data in the production of a digital soil map. We integrated laboratory, field and remote sensing data to derive a map of soil suborder based on the Brazilian Soil Classification System. We described and classified 289 soil profiles in an area of ~13,000 ha with great soil, geologic, and topographic variation in the state of São Paulo, southeastern Brazil. Multinomial logistic regression was used to classify soils based on geospatial data (geology, topography, emissivity, vegetation index, and land cover), and laboratory soil visible/near-infrared (400-2500 nm) reflectance at three depths (0-20, 40-60, and 80-100 cm). Soil suborders were correctly classified in 52% of the cases, and agreed with a 1:100,000, and a 1:20,000 reference conventional map in 41, and 46% of the area, respectively. Stream density and laboratory soil reflectance were included in, and improved, suborder classification models, showing great potential to aid digital soil mapping in complex environments. |
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Palavras-Chave: |
Mapping of soil; Tropical. |
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Thesaurus NAL: |
spectroscopy. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 01813nam a2200205 a 4500
001 1919074
005 2012-11-06
008 2011 bl uuuu u00u1 u #d
100 1 $aVASQUES, G. M.
245 $aMapping of soil classes in a complex tropical environment enhanced by by stream density and laboratory spesctroscopy.$h[electronic resource]
260 $aIn: CONGRESSO BRASILEIRO DE CIÊNCIA DO SOLO, 33., 2011, Uberlândia, MG.$c2011
520 $aAbstract : There is need to integrate methods to enhance soil maps across large areas. This study proposes a novel and simple method to incorporate laboratory soil spectral data in the production of a digital soil map. We integrated laboratory, field and remote sensing data to derive a map of soil suborder based on the Brazilian Soil Classification System. We described and classified 289 soil profiles in an area of ~13,000 ha with great soil, geologic, and topographic variation in the state of São Paulo, southeastern Brazil. Multinomial logistic regression was used to classify soils based on geospatial data (geology, topography, emissivity, vegetation index, and land cover), and laboratory soil visible/near-infrared (400-2500 nm) reflectance at three depths (0-20, 40-60, and 80-100 cm). Soil suborders were correctly classified in 52% of the cases, and agreed with a 1:100,000, and a 1:20,000 reference conventional map in 41, and 46% of the area, respectively. Stream density and laboratory soil reflectance were included in, and improved, suborder classification models, showing great potential to aid digital soil mapping in complex environments.
650 $aspectroscopy
653 $aMapping of soil
653 $aTropical
700 1 $aJOSÉ A. M.
700 1 $aROSSEL, R. V.
700 1 $aLÓPEZ, L. R.
700 1 $aTERRA, F. S.
700 1 $aRIZZO, R.
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