2013
DOI: 10.1590/s0103-84782013001100008
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Avaliação de cinco algoritmos de árvores de decisão e três tipos de modelos digitais de elevação para mapeamento digital de solos a nível semidetalhado na Bacia do Lageado Grande, RS, Brasil

Abstract: O mapeamento digital de solos (MDS) tem como base a geração de sistemas de informações que permitem estabelecer relações matemáticas entre variáveis ambientais e solos e, dessa forma, predizer a distribuição espacial das classes ou propriedades dos solos. Dentre as abordagens mais utilizadas, as árvores de decisão têm se destacado por apresentar bons resultados no MDS. Por outro lado, dada a disponibilidade de novas fontes de informação sobre a elevação, torna-se necessário o teste e avaliação de modelos digit… Show more

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Cited by 19 publications
(21 citation statements)
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“…The K value was 0.36, which is lower than the average value of 0.47 observed in similar studies conducted in Brazil (ten Caten et al, 2012). However, Giasson et al (2013) observed an average K of 0.37 in the Lajeado Grande watershed, which shows characteristics similar to the area of the present study. Likewise, Bagatini et al (2015) obtained a GA similar to those in the present study; in their study, depending on the sampling point density, GA varied between 60 and 76% in the Rio Santo Cristo watershed, and between 54% (lowest density, 0.1 points ha -1…”
Section: Resultssupporting
confidence: 86%
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“…The K value was 0.36, which is lower than the average value of 0.47 observed in similar studies conducted in Brazil (ten Caten et al, 2012). However, Giasson et al (2013) observed an average K of 0.37 in the Lajeado Grande watershed, which shows characteristics similar to the area of the present study. Likewise, Bagatini et al (2015) obtained a GA similar to those in the present study; in their study, depending on the sampling point density, GA varied between 60 and 76% in the Rio Santo Cristo watershed, and between 54% (lowest density, 0.1 points ha -1…”
Section: Resultssupporting
confidence: 86%
“…This GA behavior was similar to that observed in the Carajazinho chart, which belongs to the same physiographic region evaluated by Giasson et al (2013) and Bagatini et al (2015).…”
Section: Resultssupporting
confidence: 85%
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“…They observed a high ratio between the elevation data and mapping units, and found that DEMs with a wide amplitude in elevation values generate decision tree models with less selected TA, reflected in the reduction of predicted soil classes. On the other hand, Giasson et al (2013) found small differences between the number of TA selected by the decision tree model and the Kappa index in a comparison of the DEMs ASTER (30 m), SRTM (30 m) and SRTM (90 m) for DSM at a scale of 1:50,000 in an area of 53,200 ha.…”
Section: Resultsmentioning
confidence: 87%
“…Em trabalho recente, Giasson et al (2013) relataram que a comparação entre três MDEs, com pixel de 30 e 90 m, utilizados para a predição de unidades de mapeamento de solos (UM), não foi conclusiva, pois a diferença na capacidade de predição dos modelos foi muito pequena. Ao utilizar análise wavelet e variáveis preditoras derivadas do MDE TOPODATA, ten Caten et al (2012) sugeriram que a resolução espacial a ser utilizada no MDS deve ser entre 32 e 40 m. Em estudo realizado por Cavazzi et al (2013), os autores demonstraram que, em áreas com relevo menos declivoso, os MDEs com menores resoluções espaciais (140 m) possibilitaram gerar modelos de predição de solos mais acurados.…”
Section: Introductionunclassified