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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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| Silva,Sérgio Henrique Godinho; Menezes,Michele Duarte de; Mello,Carlos Rogério de; Góes,Helen Thaís Pereira de; Owens,Phillip Ray; Curi,Nilton. |
| ABSTRACT The application of quantitative methods to digital soil and geomorphological mapping is becoming an increasing trend. One of these methods, Geomorphons, was developed to identify the ten most common landforms based on digital elevation models. This study aimed to make a quantitative assessment of the relationships between Geomorphons units, determined at three spatial resolutions and nine radii, and soil types and properties of two watersheds with different soil-landscape relationships in Brazil to help soil surveying and mapping under tropical conditions. The study was conducted at Lavrinha Creek (LCW) and Marcela Creek (MCW) watersheds, located in the state of Minas Gerais, Brazil. Spatial resolutions of 10, 20 and 30 m were the basis for... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Geomorphons; Soil-landscape relationships; Pedology; Landforms; Digital soil mapping. |
| Ano: 2016 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162016000400363 |
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