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| 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 |
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| Moura-Bueno,Jean Michel; Dalmolin,Ricardo Simão Diniz; ten Caten,Alexandre; Ruiz,Luis Fernando Chimelo; Ramos,Priscila Vogelei; Dotto,André Carnieletto. |
| ABSTRACT Terrain attributes (TAs) derived from digital elevation models (DEMs) are frequently used in digital soil mapping (DSM) as auxiliary covariates in the construction of prediction models. The DEMs and information extracted from it may be limited with regard to the spatial resolution and error magnitude, and can differ in the behavior of terrain features. The objective of this study was to evaluate the quality and limitations of free DEM data and to evaluate a topographic survey (TS) underlying the choice of a more appropriate model, for use in DSMs at a scale of 1:10,000. The study was conducted in an area of 937 ha in the watershed of Lajeado Giruá, in southern Brazil. The DEMs: DEM-TS, DEM-Topographic Map (TM), DEM-ASTER, DEM-SRTM, and... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Terrain modeling; DEM quality; DEM scale; Terrain attributes; Soil mapping. |
| Ano: 2016 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832016000100304 |
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| Chagas,César da Silva; Vieira,Carlos Antônio Oliveira; Fernandes Filho,Elpídio Inácio. |
| Soil surveys are the main source of spatial information on soils and have a range of different applications, mainly in agriculture. The continuity of this activity has however been severely compromised, mainly due to a lack of governmental funding. The purpose of this study was to evaluate the feasibility of two different classifiers (artificial neural networks and a maximum likelihood algorithm) in the prediction of soil classes in the northwest of the state of Rio de Janeiro. Terrain attributes such as elevation, slope, aspect, plan curvature and compound topographic index (CTI) and indices of clay minerals, iron oxide and Normalized Difference Vegetation Index (NDVI), derived from Landsat 7 ETM+ sensor imagery, were used as discriminating variables. The... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Terrain attributes; Neural networks; Maximum likelihood. |
| Ano: 2013 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832013000200005 |
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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,Bruno Montoani; Silva,Sérgio Henrique Godinho; Oliveira,Geraldo Cesár de; Peters,Petrus Hubertus Caspar Rosa; Santos,Walbert Júnior Reis dos; Curi,Nilton. |
| Digital techniques and tools can assist not only in the prediction of soil properties, such as soil moisture, but also in planning the use and management of areas for agriculture and, or, environmental purposes. In this sense, this work aimed to study wetness indexes methods, defining the spatial resolution and selecting the estimation method that best correlates with water content data measured in the field, evaluating even moisture at different soil depths and seasons. This study was developed in a landscape with strongly undulated relief and covered with Nitosols at the summit and upper middle third, and Argisols at the low middle third, ranging in altitude from 845 to 890 m, located in the southern state of Minas Gerais, Brazil. It were performed... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Terrain attributes; Soil water content determination; Relief; Water dynamics. |
| Ano: 2014 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542014000200005 |
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