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Registro Completo |
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Biblioteca(s): |
Embrapa Unidades Centrais. |
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Data corrente: |
13/09/2017 |
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Data da última atualização: |
13/09/2017 |
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Autoria: |
WOLSKI, M. S.; DALMOLIN, R. S. D.; FLORES, C. A.; MOURA-BUENO, J. M.; CATEN, A. ten; KAISER, D. R. |
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Afiliação: |
Mario Sergio Wolski, Universidade Federal da Fronteira Sul/Curso de Agronomia; Ricardo Simão Diniz Dalmolin, Universidade Federal de Santa Maria/Centro de Ciências Rurais/Departamento de Solos; CARLOS ALBERTO FLORES, CPACT; Jean Michel Moura-Bueno, Universidade Federal de Santa Maria/Centro de Ciências Rurais/Departamento de Solos; Alexandre ten Caten, Universidade Federal de Santa Catarina/Campus de Curitibanos; Douglas Rodrigo Kaiser, Universidade Federal da Fronteira Sul/Curso de Agronomia. |
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Título: |
Digital soil mapping and its implications in the extrapolation of soil-landscape relationships in detailed scale. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Pesquisa Agropecuária Brasileira, Brasília, DF, v. 52, n. 8, p. 633-642, fev. 2017. |
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Idioma: |
Inglês |
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Notas: |
Título em português: Mapeamento digital do solo e suas implicações na extrapolação das relações solo-paisagem em escala de detalhe. |
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Conteúdo: |
The objective of this work was to test the extrapolation of soil-landscape relationships in a reference area (RA) to a topographic map (scale 1:50,000), using digital soil mapping (DSM), and to compare these results to those obtained in similar studies previously conducted in Brazil. A soil survey in a 10 km2 RA, using conventional mapping techniques (scale 1:10,000), was made in order to map a 678 km2 physiographically similar area (scale 1:50,000) using DSM. The decision tree technique was employed to build a predictive extrapolation model based on soil classes and eight terrain attributes in the RA. The validation of DSM by application of field observation points resulted in a 66.1% global accuracy and in 0.36 kappa index. The most representative soils in the area were correctly predicted, whereas the less representative and less frequent soils in the landscape (and consequently with reduced sampling) had their prediction compromised. The RA proportion, which equals 1.5% of the total area, is a limiting factor in the formulation of soil-landscape relationships to precisely represent the mapped area by DSM. |
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Palavras-Chave: |
Área de referência; Atributos de terreno; Estratificação da paisagem; Landscape stratification; Mapeamento preditivo de solos; Pedometria; Predictive soil mapping; Reference area; Terrain attributes. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/163754/1/Digital-soil-mapping-and-its-implications.pdf
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Marc: |
LEADER 02203naa a2200301 a 4500
001 2075513
005 2017-09-13
008 2017 bl uuuu u00u1 u #d
100 1 $aWOLSKI, M. S.
245 $aDigital soil mapping and its implications in the extrapolation of soil-landscape relationships in detailed scale.
260 $c2017
500 $aTítulo em português: Mapeamento digital do solo e suas implicações na extrapolação das relações solo-paisagem em escala de detalhe.
520 $aThe objective of this work was to test the extrapolation of soil-landscape relationships in a reference area (RA) to a topographic map (scale 1:50,000), using digital soil mapping (DSM), and to compare these results to those obtained in similar studies previously conducted in Brazil. A soil survey in a 10 km2 RA, using conventional mapping techniques (scale 1:10,000), was made in order to map a 678 km2 physiographically similar area (scale 1:50,000) using DSM. The decision tree technique was employed to build a predictive extrapolation model based on soil classes and eight terrain attributes in the RA. The validation of DSM by application of field observation points resulted in a 66.1% global accuracy and in 0.36 kappa index. The most representative soils in the area were correctly predicted, whereas the less representative and less frequent soils in the landscape (and consequently with reduced sampling) had their prediction compromised. The RA proportion, which equals 1.5% of the total area, is a limiting factor in the formulation of soil-landscape relationships to precisely represent the mapped area by DSM.
653 $aÁrea de referência
653 $aAtributos de terreno
653 $aEstratificação da paisagem
653 $aLandscape stratification
653 $aMapeamento preditivo de solos
653 $aPedometria
653 $aPredictive soil mapping
653 $aReference area
653 $aTerrain attributes
700 1 $aDALMOLIN, R. S. D.
700 1 $aFLORES, C. A.
700 1 $aMOURA-BUENO, J. M.
700 1 $aCATEN, A. ten
700 1 $aKAISER, D. R.
773 $tPesquisa Agropecuária Brasileira, Brasília, DF$gv. 52, n. 8, p. 633-642, fev. 2017.
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Registro original: |
Embrapa Unidades Centrais (AI-SEDE) |
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| 1. |  | SCHERLOSKI, A.; MONTECELLI, T. D. N.; MIORANZA, F.; LAZZARI, F.; POLO, L. R. T.; SCHUSTER, I. Validação de marcadores moleculares para resistência à giberela em genótipos brasileiros de trigo. PESQUISA AGROPECUÁRIA BRASILEIRA, Brasília, DF, v. 50, n. 1, p.63-72, jan., 2015. Título em inglês: Validation of molecular markers for wheat resistance to Fusarium head blight in Brazilian wheat genotypes.| Biblioteca(s): Embrapa Unidades Centrais. |
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