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All publications of “Elisângela Benedet da Silva”

3 results

Selection of Environmental Covariates for Classifier Training Applied in Digital Soil Mapping

Alcinei Ribeiro Campos, Elvio Giasson, José Janderson Ferreira Costa, Israel Rosa Machado, Elisângela Benedet da Silva, Benito Roberto Bonfatti


ABSTRACT A large number of predictor variables can be used in digital soil mapping; however, the presence of irrelevant covariables may compromise the prediction of soil types. Thus, algorithms can be applied to select the most relevant predictors. This study aimed to compare three covariable selection systems (two filter algorithms and one wrapper algorithm) and assess their impacts on the predictive model. The study area was the Lajeado River Watershed in the state of Rio Grande do Sul, Brazil. We […]

Spatial Disaggregation of Multi-Component Soil Map Units Using Legacy Data and a Tree-Based Algorithm in Southern Brazil

Israel Rosa Machado, Elvio Giasson, Alcinei Ribeiro Campos, José Janderson Ferreira Costa, Elisângela Benedet da Silva, Benito Roberto Bonfatti


ABSTRACT Soil surveys often contain multi-component map units comprising two or more soil classes, whose spatial distribution within the map unit is not represented. Digital Soil Mapping tools supported by information from soil surveys make it possible to predict where these classes are located. The aim of this study was to develop a methodology to increase the detail of conventional soil maps by means of spatial disaggregation of multi-component map units and to predict the spatial location of the derived […]

Land suitability evaluation as subsidy to the settlement of rural famylies, using geographic information system

Elisângela Benedet da Silva, Ruth Emília Nogueira, Antônio Ayrton Auzani Uberti


Rural settlements in Brazil were created in order to confront pressures and are characterized by the lack of planning prior to the diagnosis and implementation of the natural resources related to land suitability evaluation, distribution of classes such as topography, rivers system, vegetation, and support mechanisms. The aim of this study was to evaluate the agricultural capacity of the lands which were allotted to the settlement of rural families by the National Institute of Colonization and Land Reform (INCRA), applying […]