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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 : 480 | |
| 121. |  | CALDERANO FILHO, B.; BHERING, S. B.; CHAGAS, C. da S.; CARVALHO JUNIOR, W. de; CALDERANO, S. B.; POLIVANOV, H. Uso de geotecnologias na análise de paisagens montanhosas da Serra do Mar. In: CONGRESSO BRASILEIRO DE CIÊNCIA DO SOLO, 35., 2015, Natal. O solo e suas múltiplas funções: anais. Natal: Sociedade Brasileira de Ciência do Solo, 2015.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Solos. |
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| 129. | | CHAGAS, C. da S.; CARVALHO JUNIOR, W. de; ZARONI, M. J.; PEREIRA, N. R.; BHERING, S. B. Zoneamento pedoclimático do Rio Grande do Sul para a cultura da cana-de-açúcar. Rio de Janeiro: Embrapa Solos, 2000. 58 p. 1 CD-ROM. (Embrapa Solos. Documentos, 39). Acompanha 4 mapas, color. Mapa do zoneamento pedoclimático do Rio Grande do Sul para a cultura da cana-de-açúcar (açúcar), nível de manejo B; Mapa do zoneamento pedoclimático do Rio Grande do Sul para a cultura da cana-de-açúcar (açúcar),...| Biblioteca(s): Embrapa Solos. |
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| 133. | | SANTOS, H. G. dos; CALDERANO FILHO, B.; FILHO RAMALHO, A.; CLAESSEN, M. E. C.; CARVALHO JUNIOR, W. de; CHAGAS, C. da S. Aptidão agrícola das terras da microbacia do Ribeirão São Domingos, Município de Santa Margarida, Estado de Minas Gerais. Rio de Janeiro: Embrapa Solos, 2004. 36 p. (Embrapa Solos. Boletim de pesquisa e desenvolvimento, 51).| Tipo: Boletim de Pesquisa e Desenvolvimento |
| Biblioteca(s): Embrapa Solos. |
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| 134. | | CHAGAS, C. da S.; CALDERANO FILHO, B.; PEREIRA, N. R.; CARVALHO JUNIOR, W. de; CORREIA, J. R.; BRAGA, A. R. dos S.; SPERA, S. T. Aptidão agrícola das terras do município de Ituiutaba-MG utilizando sistema de informações geográficas. In: CONGRESSO BRASILEIRO DE CIÊNCIA DO SOLO, 27., 1999, Brasília, DF. Resumos [...]. Planaltina, DF: Embrapa Cerrados, 1999. 1 CD-ROM.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Solos. |
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| 135. | | CHAGAS, C. da S.; CALDERANO FILHO, B.; PEREIRA, N. R.; CARVALHO JUNIOR, W. de; CORREIA, J. R.; REATTO, A.; SPERA, S. T. Aptidao agricola das terras do municipio de Ituiutaba-MG utilizando sistema de informacoes geograficas. In: CONGRESSO BRASILEIRO DE CIENCIA DO SOLO, 27., 1999, Brasilia, DF. [Ciencia do solo e qualidade de vida: anais]. [Planaltina: Embrapa Cerrados, 1999]. Sessao de posteres 3. Resumo.| Biblioteca(s): Embrapa Cerrados. |
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| 139. | | CHAGAS, C. da S.; FERNANDES FILHO, E. I.; ROCHA, M. F. da; CARVALHO JUNIOR, W. de; SOUSA NETO, N. C. de. Avaliação de modelos digitais de elevação para aplicação em um mapeamento digital de solos. Revista Brasileira de Engenharia Agrícola e Ambiental, Campina Grande, v. 14, n. 2, p. 218-226, 2010.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
| Biblioteca(s): Embrapa Solos. |
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| 140. | | MOTTA, P. E. F. da; BLANCANEAUX, P.; CHAGAS, C. da S.; CARVALHO FILHO, A. de; CARVALHO JUNIOR, W. de; PEREIRA, N. R.; AMABILE, R. F. Avaliacao da aptidao agricola por culturas das terras da microbacia piloto do Estado de Goias, Morrinhos. In: BLANCANEAUX, P., ed. Interacoes ambientais no cerrado: microbacia piloto de Morrinhos, Estado de Goias, Brasil. Rio de Janeiro: EMBRAPA-CNPS/ ORSTOM/ Brasilia: EMBRAPA-SPI, 1998. p.237-258. il. Edicao bilingue. Titulo em frances: Evaluation de l'aptitude agricole par cultures des terres du Microbassin pilote de l'Etat du Goias, Morrinhos.| Biblioteca(s): Embrapa Cerrados. |
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| Registros recuperados : 480 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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