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| Registros recuperados: 14 | |
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| Carvalho Junior,Waldir de; Schaefer,Carlos Ernesto G.R.; Chagas,César da Silva; Fernandes Filho,Elpídio Inácio. |
| A faixa atlântica brasileira possui extrema diversidade ambiental, onde é expressiva a ocorrência de Argissolos, descritos e identifcados em diversos estudos, sem que tenham sido exauridas as possibilidades de interpretações. O objetivo deste estudo foi avaliar, por meio da análise multivariada, as principais diferenças nos atributos físicos e químicos de Argissolos da faixa atlântica brasileira. Foram analisados 91 perfis de solos oriundos de levantamentos pedológicos realizados pelo Projeto RADAMBRASIL, agrupados em três domínios geomorfológicos distintos: Planaltos Soerguidos, Planaltos Rebaixados e Tabuleiros Costeiros, por meio da análise de componentes principais e análise de função discriminante. Para isso, foram selecionadas 14 variáveis para... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Domínios geomorfológicos; Componentes principais; Análise discriminante; B textural. |
| Ano: 2008 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832008000500029 |
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| Chagas,César da Silva; Fernandes Filho,Elpídio Inácio; Vieira,Carlos Antônio Oliveira; Schaefer,Carlos Ernesto Gonçalves Reynaud; Carvalho Júnior,Waldir de. |
| O objetivo deste trabalho foi avaliar variáveis discriminantes no mapeamento digital de solos com uso de redes neurais artificiais. Os atributos topográficos elevação, declividade, aspecto, plano de curvatura e índice topográfico, derivados de um modelo digital de elevação, e os índices de minerais de argila, óxido de ferro e vegetação por diferença normalizada, derivados de uma imagem do Landsat7, foram combinados e avaliados quanto à capacidade de discriminação dos solos de uma área no noroeste do Estado do Rio de Janeiro. Foram utilizados o simulador de redes neurais Java e o algoritmo de aprendizado "backpropagation". Os mapas gerados por cada um dos seis conjuntos de variáveis testados foram comparados com pontos de referência, para a determinação da... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Atributos do terreno; Classificação de solos; Modelo digital de elevação; Redes neurais artificiais. |
| Ano: 2010 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2010000500009 |
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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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| Campbell,Patrícia Morais da Matta; Francelino,Márcio Rocha; Fernandes Filho,Elpídio Inácio; Rocha,Pablo de Azevedo; Azevedo,Bruno Campbell de. |
| ABSTRACT Mapping the chemical attributes of the soil on a large scale can result in gains when planning the use and occupation of the land. There are different techniques available for this purpose, whose performance should be tested for different types of landscapes. The aim of this study was to spatialize chemical attributes of the soil, comparing eight methods of prediction. Forty morphometric attributes, generated from a digital elevation model, were used as independent variables, in addition to geophysical data, images from the Landsat 8 satellite and the NDVI. All possible combinations between the satellite bands were calculated, generating 28 new variables. Combinations between the Th, U and K bands obtained from the geophysical data were also... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: XRF; Spatial approach; Prediction models. |
| Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902019000400519 |
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| Campbell,Patrícia Morais da Matta; Fernandes Filho,Elpídio Inácio; Francelino,Márcio Rocha; Demattê,José Alexandre Melo; Pereira,Marcos Gervasio; and,Clécia Cristina Barbosa Guimarães; Pinto,Luiz Alberto da Silva Rodrigues. |
| ABSTRACT Quantification of soil properties is essential for better understanding of the environment and better soil management. The conventional techniques of laboratory analysis are sometimes costly and detrimental to the environment. Thus, development of new techniques for soil analysis that do not generate residues, such as spectroscopy, is increasingly necessary as a viable way to estimate a wide range of soil properties. The objective of this study was to predict the levels of organic carbon (OC), clay, and extractable phosphorus (P), from the spectral responses of soil samples in the visible and near infrared (Vis-NIR), medium infrared (MIR), and Vis-NIR-MIR using different preprocessing methods combined with five prediction models. Soil samples were... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Spectral analysis; Reflectance; Chemometrics. |
| Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832018000100314 |
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| Meier,Martin; Souza,Eliana de; Francelino,Marcio Rocha; Fernandes Filho,Elpídio Inácio; Schaefer,Carlos Ernesto Gonçalves Reynaud. |
| ABSTRACT: Increasingly, applications of machine learning techniques for digital soil mapping (DSM) are being used for different soil mapping purposes. Considering the variety of models available, it is important to know their performance in relation to soil data and environmental variables involved in soil mapping. This paper investigated the performance of eight machine learning algorithms for soil mapping in a tropical mountainous area of an official rural settlement in the Zona da Mata region in Brazil. Morphometric maps generated from a digital elevation model, together with Landsat-8 satellite imagery, and climatic maps, were among the set of covariates to be selected by the Recursive Feature Elimination algorithm to predict soil types using machine... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Soil classification; Machine learning; Pedometrics; Land use planning; Agrarian reform. |
| Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832018000100313 |
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| Cunha,Alexson de Mello; Lani,João Luiz; Santos,Gerson Rodrigues dos; Fernandes Filho,Elpídio Inácio; Trindade,Filipe Silveira; Souza,Eliana de. |
| O objetivo deste trabalho foi avaliar a cokrigagem ordinária, com dados de altitude e distância do mar, em comparação à krigagem ordinária, na espacialização da precipitação pluvial dos períodos anual, seco e úmido, no Estado do Espírito Santo. Os dados de altitude e distância do mar foram obtidos de pontos de amostragem em grades regulares e irregulares. Foram utilizados dados de 108 postos pluviométricos. A avaliação dos métodos e das variáveis foi realizada com base na validação cruzada, tendo-se considerado os erros dos valores preditos e o ajuste dos modelos de regressão linear para valores observados e preditos. A grade regular para amostragem das covariáveis apresentou melhor acurácia de predição em comparação à grade irregular. A cokrigagem... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Distribuição da precipitação; Geoestatística; Linha de costa; Predição espacial. |
| Ano: 2013 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2013000900001 |
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| Jeune,Wesly; Francelino,Márcio Rocha; Souza,Eliana de; Fernandes Filho,Elpídio Inácio; Rocha,Genelício Crusoé. |
| ABSTRACT Digital soil mapping (DSM) has been increasingly used to provide quick and accurate spatial information to support decision-makers in agricultural and environmental planning programs. In this study, we used a DSM approach to map soils in western Haiti and compare the performance of the Multinomial Logistic Regression (MLR) with Random Forest (RF) to classify the soils. The study area of 4,300 km2 is mostly composed of diverse limestone rocks, alluvial deposits, and, to a lesser extent, basalt. A soil survey was conducted whereby soils were described and classified at 258 sites. Soil samples were collected and subjected to physical and chemical analyses. Recursive Feature Elimination (RFE) was used to select the most important covariates from... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Auxiliary data; Digital soil mapping; Soil survey; Data-mining. |
| Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832018000100306 |
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| Souza,Cristiano Marcelo Pereira de; Thomazini,André; Schaefer,Carlos Ernesto Gonçalves Reynaud; Veloso,Gustavo Vieira; Moreira,Guilherme Musse; Fernandes Filho,Elpídio Inácio. |
| ABSTRACT: Ultisols are the most common soil order in the Brazilian Amazon. The Legal Amazon (LA) has an area of 5 × 106 km2, with few accessible areas, which restricts studies of soils at a detailed level. The pedological properties can be estimated more efficiently using statistical procedures and machine learning techniques, tools which are capable of recognizing patterns in a large soil database. We analyzed the main chemical and physical properties of the B horizons of the Ultisols of the Brazilian Amazon, as well as the spatial variability of the most explanatory properties of these horizons. Physical and chemical data of 1,068 profiles of the RadamBrasil Project were used. A principal component analysis (PCA) was applied and the most explanatory... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Legal Amazon; Principal component analysis; Morphostructural domains; Climatic zones. |
| Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832018000100317 |
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| Souza,Eliana de; Fernandes Filho,Elpídio Inácio; Schaefer,Carlos Ernesto Gonçalves Reynaud; Batjes,Niels H.; Santos,Gerson Rodrigues dos; Pontes,Lucas Machado. |
| ABSTRACT Soil bulk density (ρb) data are needed for a wide range of environmental studies. However, ρb is rarely reported in soil surveys. An alternative to obtain ρb for data-scarce regions, such as the Rio Doce basin in southeastern Brazil, is indirect estimation from less costly covariates using pedotransfer functions (PTF). This study primarily aims to develop region-specific PTFs for ρb using multiple linear regressions (MLR) and random forests (RF). Secondly, it assessed the accuracy of PTFs for data grouped into soil horizons and soil classes. For that purpose, we compared the performance of PTFs compiled from the literature with those developed here. Two groups of data were evaluated as covariates: 1) readily available soil properties and 2) maps... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Multiple linear regressions; Random forests; Soil predictors; Spatial prediction. |
| Ano: 2016 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162016000600525 |
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| Guevara,Yang Zumbo Coronel; Souza,José João Lelis Leal de; Veloso,Gustavo Vieira; Veloso,Renato Welmer; Rocha,Pablo Azevedo; Abrahão,Walter Antônio Pereira; Fernandes Filho,Elpídio Inácio. |
| ABSTRACT: The great geological and soil variation in the state of Minas Gerais, Brazil, indicates the need for regional studies to understand the geochemical background of soils. The Rio Doce Basin became a priority area for geochemical background determination after the rupture of the tailings dam of Fundão in 2015. In this context, the objectives of this study were to propose Reference Values of Soil Quality in the Rio Doce Basin, to define variables that can predict metal(loid) concentrations in the soil, and to examine the correlation between metal(loid) concentrations determined by X-ray fluorescence and by the traditional method. One hundred and seven samples were collected from minimally disturbed areas, representing the main soils and source... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: RDC; Iron Quadrangle; Heavy metals; Soil quality reference values; Mariana. |
| Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832018000100515 |
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| Souza,Eliana de; Pontes,Lucas Machado; Fernandes Filho,Elpídio Inácio; Schaefer,Carlos Ernesto Goncalves Reynaud; Santos,Eliana Elizabet dos. |
| ABSTRACT: Little is known about the groundwater recharge potential of weathered tropical catchments, where increasing water uptake is widespread to meet various water demands. This study aimed to estimate the volume of groundwater recharge of the Doce River Basin, Minas Gerais, Brazil. The BALSEQ model was applied to calculate the water balance over a period of two years (2007-2009). Evapotranspiration, runoff, and potential groundwater recharge (PGR) were calculated, using daily data on rainfall, potential evapotranspiration, and plant-available water. A soil survey was undertaken for all major soils occurring in the basin. Soils samples were used to determine hydraulic conductivity, bulk density, and water content at field capacity and at the permanent... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Aquifer; Infiltration; Potential recharge; Random Forests Model; Water balance. |
| Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832019000100501 |
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| Leite,Daniel Mariano; Vieira,Luciano Baião; Fernandes,Haroldo Carlos; Carneiro,José Eustáquio Souza; Fernandes Filho,Elpídio Inácio; Santos,Nerilson Terra. |
| Bean yield in Brazil is considered low, around 820 kg ha-1, reaching values above 3000 kg ha-1, there are several environmental factors which may limit the performance of this culture, especially those related to the soil. The present work aimed to evaluate soil compactions in bean culture of different soil management systems, by means of digital images. This study took place at the Federal University of Viçosa, randomized block design with six replications was used and four treatments, (direct planting, conventional preparation, minimum plantation using grade crusher-leveler and minimum plantation using scarificator), were evaluated. The spectral responses using the vegetation indexes (NDVI, RS, GNDVI, VARI, WDRVI and SAVI) were evaluated, calculated from... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Remote sensing; Soil management; Unmanned balloon. |
| Ano: 2012 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542012000200011 |
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| Paye,Henrique de Sá; Mello,Jaime Wilson Vargas de; Abrahão,Walter Antônio Pereira; Fernandes Filho,Elpídio Inácio; Dias,Lívia Cristina Pinto; Castro,Maria Luisa Oliveira; Melo,Stefeson Bezerra de; França,Michele Milanez. |
| Valores de referência de qualidade (VRQ) para metais pesados em solos, em âmbito mundial, são bastante heterogêneos. No Brasil, poucos estudos para estabelecer esses valores foram concluídos. Na ausência de VRQ para metais pesados em solos, estabelecidos para as condições do Estado do Espírito Santo, utilizam-se valores genéricos internacionais ou desenvolvidos para outros Estados. Entretanto, deve-se ressaltar que o uso desses valores pode levar a avaliações inadequadas, já que existem diferenças nas condições técnicas e variáveis ambientais de cada região, em especial das condições geológicas, hídricas e pedológicas. Essas diferenças justificam o desenvolvimento de uma tabela própria com VRQ para metais pesados em solos, adequada às condições do Estado... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Elementos potencialmente tóxicos; Micronutrientes; Teores naturais de metais pesados em solos. |
| Ano: 2010 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832010000600028 |
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| Registros recuperados: 14 | |
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