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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: |
01/12/2017 |
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Data da última atualização: |
10/11/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
PINHEIRO, H. S. K.; OWENS, P. R.; ANJOS, L. H. C.; CARVALHO JUNIOR, W. de; CHAGAS, C. da S. |
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Afiliação: |
H. S. K. PINHEIRO, UFRRJ; P. R. OWENS, USDA Dale Bumpers Small Farms Research Center; L. H. C. ANJOS, UFRRJ; WALDIR DE CARVALHO JUNIOR, CNPS; CESAR DA SILVA CHAGAS, CNPS. |
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Título: |
Tree-based techniques to predict soil units. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Soil Research, v. 55, n. 8, p. 788-798, 2017. |
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DOI: |
https://doi.org/10.1071/SR16060 |
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Idioma: |
Inglês |
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Conteúdo: |
Quantitative soil-landscape models offer a method for conducting soil surveys that use statistical tools to predict natural patterns in the occurrence of particular map units across a landscape. The aim of the present study was to predict soil units in a watershed with wide variation in landscape conditions. The approach relied on a modelling of soil-forming factors in order to understand the variability of the landscape components in the region. Models were generated for landscape attributes related to pedogenesis, specifically elevation, slope, curvature, compound topographic index, Euclidean distance from stream networks, landforms map, clay minerals index, iron oxide index and normalised difference vegetation index, along with an existing geology map. The soil classification was adapted from the World Reference Base System for Soil Resources, and the predominant soil taxonomic orders observed were Ferrasols, Acrisols, Gleysols, Cambisols, Fluvisols and Regosols. The algorithms used to predict the soil units were based on decision tree (DT) and random forest (RF) methods. The criteria used to evaluate the models' performance were statistical indices, coherence between predicted units and the legacy map, as well as accuracy checks based on control samples. The best performing model was found to be the RF algorithm, with resulting statistical indices considered excellent (overall = 0.966, kappa = 0.962). The accuracy of the map as determined by control points was 67.89%, with a kappa value of 61.39%. MenosQuantitative soil-landscape models offer a method for conducting soil surveys that use statistical tools to predict natural patterns in the occurrence of particular map units across a landscape. The aim of the present study was to predict soil units in a watershed with wide variation in landscape conditions. The approach relied on a modelling of soil-forming factors in order to understand the variability of the landscape components in the region. Models were generated for landscape attributes related to pedogenesis, specifically elevation, slope, curvature, compound topographic index, Euclidean distance from stream networks, landforms map, clay minerals index, iron oxide index and normalised difference vegetation index, along with an existing geology map. The soil classification was adapted from the World Reference Base System for Soil Resources, and the predominant soil taxonomic orders observed were Ferrasols, Acrisols, Gleysols, Cambisols, Fluvisols and Regosols. The algorithms used to predict the soil units were based on decision tree (DT) and random forest (RF) methods. The criteria used to evaluate the models' performance were statistical indices, coherence between predicted units and the legacy map, as well as accuracy checks based on control samples. The best performing model was found to be the RF algorithm, with resulting statistical indices considered excellent (overall = 0.966, kappa = 0.962). The accuracy of the map as determined by control points was 67.89%, wi... Mostrar Tudo |
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Palavras-Chave: |
Mapeamento digital do solo. |
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Thesagro: |
Classificação do Solo; Pedologia. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02162naa a2200217 a 4500
001 2081200
005 2021-11-10
008 2017 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1071/SR16060$2DOI
100 1 $aPINHEIRO, H. S. K.
245 $aTree-based techniques to predict soil units.$h[electronic resource]
260 $c2017
520 $aQuantitative soil-landscape models offer a method for conducting soil surveys that use statistical tools to predict natural patterns in the occurrence of particular map units across a landscape. The aim of the present study was to predict soil units in a watershed with wide variation in landscape conditions. The approach relied on a modelling of soil-forming factors in order to understand the variability of the landscape components in the region. Models were generated for landscape attributes related to pedogenesis, specifically elevation, slope, curvature, compound topographic index, Euclidean distance from stream networks, landforms map, clay minerals index, iron oxide index and normalised difference vegetation index, along with an existing geology map. The soil classification was adapted from the World Reference Base System for Soil Resources, and the predominant soil taxonomic orders observed were Ferrasols, Acrisols, Gleysols, Cambisols, Fluvisols and Regosols. The algorithms used to predict the soil units were based on decision tree (DT) and random forest (RF) methods. The criteria used to evaluate the models' performance were statistical indices, coherence between predicted units and the legacy map, as well as accuracy checks based on control samples. The best performing model was found to be the RF algorithm, with resulting statistical indices considered excellent (overall = 0.966, kappa = 0.962). The accuracy of the map as determined by control points was 67.89%, with a kappa value of 61.39%.
650 $aClassificação do Solo
650 $aPedologia
653 $aMapeamento digital do solo
700 1 $aOWENS, P. R.
700 1 $aANJOS, L. H. C.
700 1 $aCARVALHO JUNIOR, W. de
700 1 $aCHAGAS, C. da S.
773 $tSoil Research$gv. 55, n. 8, p. 788-798, 2017.
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Registro original: |
Embrapa Solos (CNPS) |
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| Registros recuperados : 32 | |
| 1. |  | FIGUEIREDO, S. I. S.; ARAÚJO, L. B. M.; FERRAZ, R. H. S.; ARAÚJO, E. G. Bases ósseas e musculares do corte comercial de pescoço de jacaré-do-pantanal (Caiman yacare Daudin, 1802). Pesquisa Veterinária Brasileira, Rio de Janeiro, v. 36, n. 2, p. 94-102, fev. 2016.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 4. | | NASCIMENTO, W.; MARTORANO, L. G.; ARAÚJO, L. B. de; SOUSA, J. T. R. de; DIAS, C. T. dos S. Agrometeorological conditions in western Pará compared to agricultural production variables using principal component analysis. Biotechnologie, Agronomie, Société et Environnement, v. 27, n. 2, p. 87-95, 2023.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 11. | | VENDRUSCULO, L. G.; SILVA, J. dos S. V. da; ARAÚJO, L. B.; OLIVEIRA, S. R. de M.; COPATTI, A. Uso da técnica de Web Mapping para disseminação de dados ambientais com enfoque no licenciamento ambiental. In: CONFERENCIA IBEROAMERICANA EN SISTEMAS, CIBERNÉTICA E INFORMÁTICA, 8.; SIMPOSIM IBEROAMERICANO EN EDUCACIÓN, CIBERNÉTICA E INFORMÁTICA, 6.; SIMPOSIUM INTERNACIONAL EN COMUNICACIÓN DEL CONOCIMIENTO Y CONFERENCIAS, 4.; SIMPOSIUM IBEROAMERICANO EN GENERACIÓN, COMUNICACIÓN Y GERENCIA DEL CONOCIMIENTO; CONFERENCIA IBERO-AMERICANA EN INGENIERÍA E INNOVACIÓN TECNOLÓGICA, 2009, Orlando. Memorias... Florida: International Institute of Informatics and Systemics, 2009. Não paginado. 1 CD-ROM.| Tipo: Artigo em Anais de Congresso / Nota Técnica |
| Biblioteca(s): Embrapa Agricultura Digital. |
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| 12. | | FIGUEIREDO, S. I. S.; ARAÚJO, L. B. M.; FERRAZ, R. H. S.; GUIMARÃES, F. R.; CANTARINI, J. L.; ARAÚJO, E. G. Bases ósseas e musculares dos cortes comerciais do tronco de jacaré-do-Pantanal (Caiman yacare Daudin, 1802). Pesquisa Veterinária Brasileira, Brasília, DF, v. 35, n. 8, p. 749-761, ago. 2015.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 13. | | MAIA, M. C. C.; CARVALHO JÚNIOR, J. E. V. de; GOMES, R. L. F.; ARAÚJO, L. B. de; VASCONCELOS, L. F. L. Análise gráfica biplot na seleção de genótipos de manga rosa. In: CONGRESSO BRASILEIRO DE FRUTICULTURA, 24., 2016, São Luis. Fruticultura: fruteiras nativas e sustentabilidade. São Luis, MA: SBF, 2016. 7 p.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Meio-Norte. |
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| 14. | | MAIA, M. C. C.; OLIVEIRA, L. C. de; ALMEIDA, A. da S.; ARAÚJO, L. B. de; VASCONCELOS, L. F. L.; LACERDA, M. N. de. Divergência genética e correlações entre variáveis agroindustriais da população de trabalho de cajuí da Embrapa Meio-Norte. In: CONGRESSO BRASILEIRO DE RECURSOS GENÉTICOS, 2., 2012, Belém, PA. Anais... Brasília, DF: Sociedade Brasileira de Recursos Genéticos, 2012. 5 p. 1 CD-ROM.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Acre; Embrapa Meio-Norte. |
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| 15. | | CARVALHO JÚNIOR, J. E. V. de; MAIA, M. C. C.; GOMES, R. L. F.; VASCONCELOS, L. F. L.; ARAÚJO, L. B. de. Diversidade genética em uma população de melhoramento de manga rosa. In: CONGRESSO BRASILEIRO DE FRUTICULTURA, 24., 2016, São Luis. Fruticultura: fruteiras nativas e sustentabilidade. São Luis, MA: SBF, 2016. 4 p.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Meio-Norte. |
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| 17. | | CARVALHO JÚNIOR, J. E. V. de; MAIA, M. C. C.; GOMES, R. L. F.; VASCONCELOS, L. F. L.; ARAÚJO, L. B. de. Correlações fenotípicas entre variáveis agro-tecnológicas de uma população de melhoramento de manga rosa. In: CONGRESSO BRASILEIRO DE FRUTICULTURA, 24., 2016, São Luis. Fruticultura: fruteiras nativas e sustentabilidade. São Luis, MA: SBF, 2016. 4 p.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Meio-Norte. |
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| 19. | | MAIA, M. C. C.; OLIVEIRA, L. C. de; VASCONCELOS, L. F. L.; LIMA NETO, F. P.; YOKOMIZO, G. K. I.; ARAÚJO, L. B. DE. Repetibilidade de características quantitativas de frutos em seleções elite de manga rosa. Agro@mbiente On-line, v. 11, n. 1, p. 56-62, jan./mar. 2017.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
| Biblioteca(s): Embrapa Acre; Embrapa Agroindústria Tropical; Embrapa Amapá. |
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| Registros recuperados : 32 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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