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| Silva,Mayesse Aparecida da; Silva,Marx Leandro Naves; Owens,Phillip Ray; Curi,Nilton; Oliveira,Anna Hoffmann; Candido,Bernardo Moreira. |
| ABSTRACT Digital soil mapping (DSM) permits continuous mapping soil types and properties through raster formats considering variation within soil class, in contrast to the traditional mapping that only considers spatial variation of soils at the boundaries of delineated polygons. The objective of this study was to compare the performance of SoLIM (Soil Land Inference Model) for two sets of environmental variables on digital mapping of saturated hydraulic conductivity and solum depth (A + B horizons) and to apply the best model on runoff risk evaluation. The study was done in the Posses watershed, MG, Brazil, and SoLIM was applied for the following sets of co-variables: 1) terrain attributes (AT): slope, plan curvature, elevation and topographic wetness... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Geomorphons; Terrain attributes; Saturated hydraulic conductivity; Solum depth. |
| Ano: 2016 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832016000100310 |
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