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Registro Completo |
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Biblioteca(s): |
Embrapa Unidades Centrais. |
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Data corrente: |
07/10/2019 |
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Data da última atualização: |
07/10/2019 |
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Autoria: |
COSTA, J. J. F.; GIASSON, E.; SILVA, E. B. da; CAMPOS, A. R.; MACHADO, I. R.; BONFATTI, B. R.; BACIC, I. L. Z. |
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Afiliação: |
José Janderson Ferreira Costa, Universidade Federal do Rio Grande do Sul - UFRGS/Faculdade de Agronomia/Departamento de Solos; Elvio Giasson, Universidade Federal do Rio Grande do Sul - UFRGS/Faculdade de Agronomia/Departamento de Solos; Elisângela Benedet da Silva, Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina - EMPASC/Centro de Informações de Recursos Ambientais e de Hidrometeorologia de Santa Catarina; Alcinei Ribeiro Campos, Universidade Federal do Rio Grande do Sul - UFRGS/Faculdade de Agronomia/Departamento de Solos; Israel Rosa Machado, Universidade Federal do Rio Grande do Sul - UFRGS/Faculdade de Agronomia/Departamento de Solos; Benito Roberto Bonfatti, Universidade Federal do Rio Grande do Sul - UFRGS/Faculdade de Agronomia/Departamento de Solos; Ivan Luiz Zilli Bacic, Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina - EMPASC/Centro de Informações de Recursos Ambientais e de Hidrometeorologia de Santa Catarina. |
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Título: |
Individualization of soil classes by disaggregation of physiographic map polygons. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Pesquisa Agropecuária Brasileira, v. 54, e00290, 2019. |
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Idioma: |
Português |
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Notas: |
Título em português: Individualização de classes de solos por desagregação de polígonos de mapa fisiográfico. |
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Conteúdo: |
The objective of this work was to disaggregate the polygons of physiographic map units in order to individualize the soil classes in each one, representing them as simple soil map units and generating a more detailed soil map than the original one, making these data more useful for future reference. A physiographic map, on a 1:25,000 scale, of the Tarumãzinho watershed, located in the municipality of Águas Frias, in the state of Santa Catarina, Brazil, was used. For disaggregation, three geomorphometric parameters were applied: slope and landforms, both derived from the digital terrain model; and an elevation map. The boundaries of the physiographic units and the elevation, slope, and landform maps were subjected to cross tabulation to identify the existing combinations between the soil classes of each physiographic unit. Based on these combinations, rules were established to select typical areas of occurrence of each soil type in order to train a decision tree model to predict the occurrence of soil classes. The model was trained using the Weka software and was validated with a set of georeferenced soil profiles. Disaggregation enables the individualization and spatialization of soil classes and is useful in producing detailed soil maps. |
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Palavras-Chave: |
Decision trees; Digital soil mapping; Pedology; Soil class prediction. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/202627/1/Individualization-of-soil-classes.pdf
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Marc: |
LEADER 02096naa a2200253 a 4500
001 2112840
005 2019-10-07
008 2019 bl uuuu u00u1 u #d
100 1 $aCOSTA, J. J. F.
245 $aIndividualization of soil classes by disaggregation of physiographic map polygons.$h[electronic resource]
260 $c2019
500 $aTítulo em português: Individualização de classes de solos por desagregação de polígonos de mapa fisiográfico.
520 $aThe objective of this work was to disaggregate the polygons of physiographic map units in order to individualize the soil classes in each one, representing them as simple soil map units and generating a more detailed soil map than the original one, making these data more useful for future reference. A physiographic map, on a 1:25,000 scale, of the Tarumãzinho watershed, located in the municipality of Águas Frias, in the state of Santa Catarina, Brazil, was used. For disaggregation, three geomorphometric parameters were applied: slope and landforms, both derived from the digital terrain model; and an elevation map. The boundaries of the physiographic units and the elevation, slope, and landform maps were subjected to cross tabulation to identify the existing combinations between the soil classes of each physiographic unit. Based on these combinations, rules were established to select typical areas of occurrence of each soil type in order to train a decision tree model to predict the occurrence of soil classes. The model was trained using the Weka software and was validated with a set of georeferenced soil profiles. Disaggregation enables the individualization and spatialization of soil classes and is useful in producing detailed soil maps.
653 $aDecision trees
653 $aDigital soil mapping
653 $aPedology
653 $aSoil class prediction
700 1 $aGIASSON, E.
700 1 $aSILVA, E. B. da
700 1 $aCAMPOS, A. R.
700 1 $aMACHADO, I. R.
700 1 $aBONFATTI, B. R.
700 1 $aBACIC, I. L. Z.
773 $tPesquisa Agropecuária Brasileira$gv. 54, e00290, 2019.
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Embrapa Unidades Centrais (AI-SEDE) |
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| 19. |  | SÓSA-GOMEZ, D. R. A diversidade de vírus como fonte de ativos para empresas produtoras de agentes de controle microbiano. In: CONGRESSO BRASILEIRO DE ENTOMOLOGIA, 28., 2022, Fortaleza. Biodiversidade: Conhecer, conservar e utilizar. anais. Fortaleza: Sociedade Entomológica do Brasil, 2022. Edição Técnica: Nivia da Silva Dias Pini, Gerane Celly Dias Bezerra Silva, Márcio Alves Silva, Regiane Cristina Oliveira, José Wagner da Silva Melo, Flávia Rabelo Barbosa. resumo. p. 1057.| Tipo: Resumo em Anais de Congresso |
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