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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: |
23/06/2014 |
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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: |
CARVALHO JUNIOR, W. de; LAGACHERIE, P.; CHAGAS, C. da S.; CALDERANO FILHO, B.; BHERING, S. B. |
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Afiliação: |
WALDIR DE CARVALHO JUNIOR, CNPS; Philippe Lagacherie, INRA, LISAH, Montpellier, France; CESAR DA SILVA CHAGAS, CNPS; BRAZ CALDERANO FILHO, CNPS; SILVIO BARGE BHERING, CNPS. |
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Título: |
A regional-scale assessment of digital mapping of soil attributes in a tropical hillslope environment. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Geoderma, v. 232/234, p. 479-486, 2014. |
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DOI: |
https://doi.org/10.1016/j.geoderma.2014.06.007 |
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Idioma: |
Inglês |
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Conteúdo: |
The purpose of this study was to analyze the relationships between soil attributes and environmental covariates in a tropical hillslope environment on a regional scale to estimate spatial distribution of soil attributes and identify statistical and geostatistical techniques that could represent the variation of the soil attributes. The studywas performed in Bom Jardim County, Brazil, and covered an area of 390 km2 with a soil database of 208 sample points distributed in six depth layers (0.53 pts/km2). The study used 18 environmental covariates derived from DEM and satellite imagery. The models evaluated were linear regression, regression trees and ordinary and regression kriging. An exploratory analysis showed that DEM, NDVI, MRVBF, MSP, b3/b2, b5/b7, SPI, SWI, SLOPE and ASPECT were correlated with soil properties. The models performance had a mean crossvalidation r2 of 0.13. The best results were achieved with kriging models, with a crossvalidation r2 of 0.19. A comparison between multiple linear regression and regression trees showed that the tree model yielded the best results. The sample density alone could not explain the results, but an interaction between DEM accuracy, sample density, covariates and geological conditions was suitable as an explanatory factor. Studies of tropical hillslope digital soil mapping on regional scales need to be more exhaustively focused to develop this research area. |
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Palavras-Chave: |
Regression tree. |
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Thesaurus Nal: |
kriging; linear models. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02107naa a2200217 a 4500
001 1988756
005 2021-11-08
008 2014 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.geoderma.2014.06.007$2DOI
100 1 $aCARVALHO JUNIOR, W. de
245 $aA regional-scale assessment of digital mapping of soil attributes in a tropical hillslope environment.$h[electronic resource]
260 $c2014
520 $aThe purpose of this study was to analyze the relationships between soil attributes and environmental covariates in a tropical hillslope environment on a regional scale to estimate spatial distribution of soil attributes and identify statistical and geostatistical techniques that could represent the variation of the soil attributes. The studywas performed in Bom Jardim County, Brazil, and covered an area of 390 km2 with a soil database of 208 sample points distributed in six depth layers (0.53 pts/km2). The study used 18 environmental covariates derived from DEM and satellite imagery. The models evaluated were linear regression, regression trees and ordinary and regression kriging. An exploratory analysis showed that DEM, NDVI, MRVBF, MSP, b3/b2, b5/b7, SPI, SWI, SLOPE and ASPECT were correlated with soil properties. The models performance had a mean crossvalidation r2 of 0.13. The best results were achieved with kriging models, with a crossvalidation r2 of 0.19. A comparison between multiple linear regression and regression trees showed that the tree model yielded the best results. The sample density alone could not explain the results, but an interaction between DEM accuracy, sample density, covariates and geological conditions was suitable as an explanatory factor. Studies of tropical hillslope digital soil mapping on regional scales need to be more exhaustively focused to develop this research area.
650 $akriging
650 $alinear models
653 $aRegression tree
700 1 $aLAGACHERIE, P.
700 1 $aCHAGAS, C. da S.
700 1 $aCALDERANO FILHO, B.
700 1 $aBHERING, S. B.
773 $tGeoderma$gv. 232/234, p. 479-486, 2014.
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Registro original: |
Embrapa Solos (CNPS) |
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Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
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| Acesso ao texto completo restrito à biblioteca da Embrapa Trigo. Para informações adicionais entre em contato com cnpt.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Trigo. |
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Data corrente: |
27/09/1994 |
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Data da última atualização: |
13/04/2015 |
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Autoria: |
FERNANDEZ, M. R.; FERNANDES, J. M. C.; SUTTON, J. C. |
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Afiliação: |
Myriam R. Fernandez, Agriculture Canada Research Station, Swift Current, Saskatchewan, Canada; José Maurício Cunha Fernandes, EMBRAPA-CNPT; University of Guelph, Ontario, Canada. |
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Título: |
Fallow, summer crops and winter crops in relation to survival of wheat pathogens in crop residues. |
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Ano de publicação: |
1990 |
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Fonte/Imprenta: |
In: INTERNATIONAL WORKSHOP ON CONSERVATION TILLAGE SYSTEMS, 1990, Passo Fundo. Conservation tillage for subtropical areas: proceedings. Passo Fundo: CIDA: EMBRAPA-CNPT, 1990. |
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Páginas: |
p. 147-153 |
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Idioma: |
Inglês |
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Palavras-Chave: |
Crop; Cultivo; Cultura; Disease; Pathogen; Relacao; Relation; Residue; Survival. |
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Thesagro: |
Doença; Inverno; Patógeno; Pousio; Resíduo; Sobrevivência; Solo; Trigo; Verão. |
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Thesaurus NAL: |
fallow; soil; summer; wheat; winter. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01122naa a2200421 a 4500
001 1822737
005 2015-04-13
008 1990 bl uuuu u00u1 u #d
100 1 $aFERNANDEZ, M. R.
245 $aFallow, summer crops and winter crops in relation to survival of wheat pathogens in crop residues.
260 $c1990
300 $ap. 147-153
650 $afallow
650 $asoil
650 $asummer
650 $awheat
650 $awinter
650 $aDoença
650 $aInverno
650 $aPatógeno
650 $aPousio
650 $aResíduo
650 $aSobrevivência
650 $aSolo
650 $aTrigo
650 $aVerão
653 $aCrop
653 $aCultivo
653 $aCultura
653 $aDisease
653 $aPathogen
653 $aRelacao
653 $aRelation
653 $aResidue
653 $aSurvival
700 1 $aFERNANDES, J. M. C.
700 1 $aSUTTON, J. C.
773 $tIn: INTERNATIONAL WORKSHOP ON CONSERVATION TILLAGE SYSTEMS, 1990, Passo Fundo. Conservation tillage for subtropical areas: proceedings. Passo Fundo: CIDA: EMBRAPA-CNPT, 1990.
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