Consulta: creatorFacets:"Guerra,Antônio José Teixeira"
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Artificial neural networks applied for soil class prediction in mountainous landscape of the Serra do Mar¹
Provedor de dados: 90
Autores: Calderano Filho,Braz; Polivanov,Helena; Chagas,César da Silva; Carvalho Júnior,Waldir de; Barroso,Emílio Velloso; Guerra,Antônio José Teixeira; Calderano,Sebastião Barreiros.
Soil information is needed for managing the agricultural environment. The aim of this study was to apply artificial neural networks (ANNs) for the prediction of soil classes using orbital remote sensing products, terrain attributes derived from a digital elevation model and local geology information as data sources. This approach to digital soil mapping was evaluated in an area with a high degree of lithologic diversity in the Serra do Mar. The neural network simulator used in this study was JavaNNS and the backpropagation learning algorithm. For soil class prediction, different combinations of the selected discriminant variables were tested: elevation, declivity, aspect, curvature, curvature plan, curvature profile, topographic index, solar radiation, LS...
Tipo: Info:eu-repo/semantics/other
Palavras-chave: Artificial neural networks; Terrain attributes; Digital mapping.
Ano: 2014
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832014000600003