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Registro Completo |
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
13/10/2008 |
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Data da última atualização: |
21/09/2021 |
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Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
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Autoria: |
CARVALHO JUNIOR, W. de; FERNANDES FILHO, E. I.; VIEIRA, C. A. O.; SCHAEFER, C. E. G. R.; CHAGAS, C. da S. |
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Afiliação: |
WALDIR DE CARVALHO JUNIOR, CNPS; CESAR DA SILVA CHAGAS, CNPS. |
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Título: |
Geomorphometric attributes applied to soil-landscapes supervised classification of mountainous tropical areas in Brazil: a case study. |
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Ano de publicação: |
2008 |
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Fonte/Imprenta: |
In: HARTEMINK, A. E.; McBRATNEY, A.; MENDONÇA-SANTOS, M. de L. (ed.). Digital soil mapping with limited data. Dordrecht: Springer, 2008. cap. 32, p. 357-365. |
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DOI: |
https://doi.org/10.1007/978-1-4020-8592-5_32 |
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Idioma: |
Inglês |
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Conteúdo: |
The present study aimed to improve the recognition of patterns of soils organization in mountainous tropical landscapes, hence helping soil surveys. The study area is located in the northwest Rio de Janeiro State, with a total area of approximately 16.470,ha. In this concern, geomorphometric features that define the geomorphic signature of the soil-landscape, were used. Geomorphometric features includes: elevation, relative elevation, aspect, curvature, curvature plane, curvature profile, slope, flow direction, flow accumulation and drainage?s Euclidian distance, being all these features obtained by geoprocessing techniques. Almost all attributes were obtained from a digital elevation model and, therefore, the primary elevation data were obtained from the topographic maps. Through these geomorphometric attributes, a geomorphometric signature of the landscape was elaborated, and the particularities of each soil-landscape unit improved the supervised classification. The results showed the feasibility of using geomorphometric attributes to perform a supervised classification, using either neural networks or a maximum likelihood algorithm for soil-landscapes classification of mountainous tropical areas. In addition, we showed that geoprocessing techniques used to extract geomorphometrics attributes can subsidize soil surveys, making soil mapping faster and less biased by subjectivity. |
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Palavras-Chave: |
Paisagens tropicais montanhosas. |
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Thesagro: |
Geomorfologia; Solo. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02259naa a2200217 a 4500
001 1337568
005 2021-09-21
008 2008 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/978-1-4020-8592-5_32$2DOI
100 1 $aCARVALHO JUNIOR, W. de
245 $aGeomorphometric attributes applied to soil-landscapes supervised classification of mountainous tropical areas in Brazil$ba case study.$h[electronic resource]
260 $c2008
520 $aThe present study aimed to improve the recognition of patterns of soils organization in mountainous tropical landscapes, hence helping soil surveys. The study area is located in the northwest Rio de Janeiro State, with a total area of approximately 16.470,ha. In this concern, geomorphometric features that define the geomorphic signature of the soil-landscape, were used. Geomorphometric features includes: elevation, relative elevation, aspect, curvature, curvature plane, curvature profile, slope, flow direction, flow accumulation and drainage?s Euclidian distance, being all these features obtained by geoprocessing techniques. Almost all attributes were obtained from a digital elevation model and, therefore, the primary elevation data were obtained from the topographic maps. Through these geomorphometric attributes, a geomorphometric signature of the landscape was elaborated, and the particularities of each soil-landscape unit improved the supervised classification. The results showed the feasibility of using geomorphometric attributes to perform a supervised classification, using either neural networks or a maximum likelihood algorithm for soil-landscapes classification of mountainous tropical areas. In addition, we showed that geoprocessing techniques used to extract geomorphometrics attributes can subsidize soil surveys, making soil mapping faster and less biased by subjectivity.
650 $aGeomorfologia
650 $aSolo
653 $aPaisagens tropicais montanhosas
700 1 $aFERNANDES FILHO, E. I.
700 1 $aVIEIRA, C. A. O.
700 1 $aSCHAEFER, C. E. G. R.
700 1 $aCHAGAS, C. da S.
773 $tIn: HARTEMINK, A. E.; McBRATNEY, A.; MENDONÇA-SANTOS, M. de L. (ed.). Digital soil mapping with limited data. Dordrecht: Springer, 2008. cap. 32, p. 357-365.
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Embrapa Solos (CNPS) |
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| Registros recuperados : 8 | |
| 5. |  | CHAGAS, C. da S.; FERNANDES FILHO, E. I.; VIEIRA, C. A. O.; SCHAEFER, C. E. G. R.; CARVALHO JUNIOR, W. de. Atributos topográficos e dados do Landsat 7 no mapeamento digital de solos com uso de redes neurais. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 45, n. 5, p. 497-50, maio 2010.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
| Biblioteca(s): Embrapa Solos; Embrapa Unidades Centrais. |
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| 6. | | SOUZA, E. de; FERNANDES FILHO, E. I.; CHAGAS, C. da S.; SCHAEFER, C. E. G. R.; KER, J. C.; VIEIRA, C. A. O.; SIMAS, F. N. B. Classificação superviosionada de solos por redes neurais artificiais na Serra do Cipó - MG. In: CONGRESSO BRASILEIRO DE CIÊNCIA DO SOLO, 33., 2011, Uberlândia. Solos nos biomas brasileiros: sustentabilidade e mudanças climáticas: anais. [Uberlândia]: SBCS: UFU, ICIAG, 2011. 1 CD-ROM.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Solos. |
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| 7. | | CARVALHO JUNIOR, W. de; CHAGAS, C. da S.; FERNANDES FILHO, E. I.; VIEIRA, C. A. O.; SCHAEFER, C. E. G.; BHERING, S. B.; FRANCELINO, M. R. Digital soilscape mapping of tropical hillslope areas by neural networks. Scientia Agricola, Piracicaba, v. 68, n. 6, p. 691-696, Nov./Dec. 2011.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Solos. |
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| 8. | | CARVALHO JUNIOR, W. de; FERNANDES FILHO, E. I.; VIEIRA, C. A. O.; SCHAEFER, C. E. G. R.; CHAGAS, C. da S. Geomorphometric attributes applied to soil-landscapes supervised classification of mountainous tropical areas in Brazil: a case study. In: HARTEMINK, A. E.; McBRATNEY, A.; MENDONÇA-SANTOS, M. de L. (ed.). Digital soil mapping with limited data. Dordrecht: Springer, 2008. cap. 32, p. 357-365.| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Solos. |
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| Registros recuperados : 8 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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