| Registro completo |
| Provedor de dados: |
PAB
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| País: |
Brazil
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| Título: |
Individualization of soil classes by disaggregation of physiographic map polygons
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| Autores: |
Costa,José Janderson Ferreira
Giasson,Elvio
Silva,Elisângela Benedet da
Campos,Alcinei Ribeiro
Machado,Israel Rosa
Bonfatti,Benito Roberto
Bacic,Ivan Luiz Zilli
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| Data: |
2019-01-01
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| Ano: |
2019
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| Palavras-chave: |
Decision trees
Digital soil mapping
Pedology
Soil class prediction
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| Resumo: |
Abstract: 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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| Tipo: |
Info:eu-repo/semantics/article
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| Idioma: |
Inglês
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| Identificador: |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2019000103807
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| Editor: |
Embrapa Secretaria de Pesquisa e Desenvolvimento
Pesquisa Agropecuária Brasileira
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| Relação: |
10.1590/s1678-3921.pab2019.v54.00290
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| Formato: |
text/html
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| Fonte: |
Pesquisa Agropecuária Brasileira v.54 2019
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| Direitos: |
info:eu-repo/semantics/openAccess
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