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Registros recuperados : 138 | |
5. | | CARVALHO JUNIOR, W. de; LOIREAU, M.; FARGETTE, M.; CALDERANO FILHO, B.; WÉLÉ, A. Correlation between soil erodibility and satellite data on areas of current desertification: a case study in Senegal. Revista Ciência & Trópico, Recife, v. 41, n. 2, p. 51-66, 2017. Biblioteca(s): Embrapa Solos. |
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6. | | CALDERANO FILHO, B.; CARVALHO JUNIOR, W.; CALDERANO, S. B.; GUERRA, A. J. T.; POLIVANOV, H. Estudo de erosão dos solos na área do médio alto curso do Rio Grande, Região Serrana do Estado do Rio de Janeiro. Revista Geonorte, Manaus, v. 10, n. 1, p. 514-519, out. 2014. Edição especial 4. Edição dos anais do 10 Simpósio Nacional de Geomorfologia, Manaus, out. 2014. Biblioteca(s): Embrapa Solos. |
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8. | | CALDERANO FILHO, B.; ANDRADE, A. G. de; DONAGEMMA, G. K.; MANZATTO, C. V.; CALDERANO, S. B. Diagnóstico do meio físico dos reassentamentos rurais da UHE de Manso, para fins de planejamento conservacionista. In: REUNIÃO BRASILEIRA DE MANEJO E CONSERVAÇÃO DO SOLO E DA ÁGUA, 17., 2008, Rio de Janeiro. Manejo e conservação do solo e da água no contexto das mudanças ambientais. Rio de Janeiro: Embrapa Solos, 2008. 1 CD-ROM. (Embrapa Solos. Documentos, 101). Biblioteca(s): Embrapa Solos. |
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11. | | CUNHA, T. J. F.; CARMO, C. A. F. de S. do; CALDERANO FILHO, B.; BLANCANEAUX, P. Diferenciação pedológica e desenvolvimento da seringueira em Oratórios-MG. In: CONGRESSO BRASILEIRO DE CIÊNCIA DO SOLO, 27., 1999, Brasília, DF. Resumos [...]. Planaltina, DF: Embrapa Cerrados, 1999. 1 CD-ROM. Biblioteca(s): Embrapa Solos. |
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13. | | CALDERANO FILHO, B.; WITTERN, K. P.; CONCEIÇÃO, M. da; TAVARES, N. P.; FAGUNDES, S. R. F. Identificação de limitações pedológicas e ambientais causadoras da degradação de áreas do Jardim Botânico do Rio de Janeiro. Rio de Janeiro, RJ: IBAMA, 1992. 101 p. (IBAMA. Estudos e Contribuições, 10). Equipe Técnica: Braz Calderano Filho, Klaus Peter Wittern, Mauro da Conceição, Ney Pinto Tavares, Sergio Renato Franco Fagundes, Estácio Albuquerque Filho, Humberto Goncalves do Santos, Osório O. M. da Fonseca. Biblioteca(s): Embrapa Solos; Embrapa Solos / UEP-Recife; Embrapa Unidades Centrais. |
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Registros recuperados : 138 | |
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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
Biblioteca(s): |
Embrapa Solos. |
Data corrente: |
23/06/2014 |
Data da última atualização: |
08/11/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
CARVALHO JUNIOR, W. de; LAGACHERIE, P.; CHAGAS, C. da S.; CALDERANO FILHO, B.; BHERING, S. B. |
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. |
Título: |
A regional-scale assessment of digital mapping of soil attributes in a tropical hillslope environment. |
Ano de publicação: |
2014 |
Fonte/Imprenta: |
Geoderma, v. 232/234, p. 479-486, 2014. |
DOI: |
https://doi.org/10.1016/j.geoderma.2014.06.007 |
Idioma: |
Inglês |
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. |
Palavras-Chave: |
Regression tree. |
Thesaurus NAL: |
kriging; linear models. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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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