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All publications of “Elpídio Inácio Fernandes Filho”

12 results

Spatial and Temporal Potential Groundwater Recharge: the Case of the Doce River Basin, Brazil

Eliana de Souza ORCID logo , Lucas Machado Pontes, Elpídio Inácio Fernandes Filho, Carlos Ernesto Goncalves Reynaud Schaefer, Eliana Elizabet dos Santos


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 […]

Multivariate Analysis and Machine Learning in Properties of Ultisols (Argissolos) of Brazilian Amazon

Cristiano Marcelo Pereira de Souza, André Thomazini, Carlos Ernesto Gonçalves Reynaud Schaefer, Gustavo Vieira Veloso, Guilherme Musse Moreira, Elpídio Inácio Fernandes Filho


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 […]

Visual Abstract

Digital Soil Mapping of Soil Properties in the “Mar de Morros” Environment Using Spectral Data

Patrícia Morais da Matta Campbell, Elpídio Inácio Fernandes Filho, Márcio Rocha Francelino, José Alexandre Melo Demattê, Marcos Gervasio Pereira, Clécia Cristina Barbosa Guimarães and, [...]


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 […]

Digital Soil Mapping Using Machine Learning Algorithms in a Tropical Mountainous Area

Martin Meier, Eliana de Souza, Marcio Rocha Francelino, Elpídio Inácio Fernandes Filho, Carlos Ernesto Gonçalves Reynaud Schaefer


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 […]

Visual Abstract

Multinomial Logistic Regression and Random Forest Classifiers in Digital Mapping of Soil Classes in Western Haiti

Wesly Jeune, Márcio Rocha Francelino, Eliana de Souza, Elpídio Inácio Fernandes Filho, Genelício Crusoé Rocha


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 […]

Comparison between artificial neural networks and maximum likelihood classification in digital soil mapping

César da Silva Chagas, Carlos Antônio Oliveira Vieira, Elpídio Inácio Fernandes Filho


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 […]

Reference quality values for heavy metals in soils from Espírito Santo State, Brazil

Henrique de Sá Paye, Jaime Wilson Vargas de Mello, Walter Antônio Pereira Abrahão, Elpídio Inácio Fernandes Filho, Lívia Cristina Pinto Dias, Maria Luisa Oliveira Castro, [...]


The Reference Quality Values (RQV) for heavy metals in soils are quite heterogeneous around the world. In Brazil, few studies establishing such values have been published. In the absence of VRQ of heavy metals in soils established for the specific conditions of the State of Espírito Santo, international generic values or values developed for other States are used. However, it should be noted that the use of these values can lead to erroneous assessments, due to the regional differences in […]

Topolitosequences of soils in Alto Paranaíba region: physical, chemical and mineralogical properties

Fernando Cartaxo Rolim Neto, Carlos Ernesto G.R Schaefer, Elpidio Inácio Fernandes Filho, Marcelo Metri Corrêa, Liovando Marciano da Costa, Roberto da Boa Viagem Parahyba, [...]


Little is known bout the pedogenetic differentiation in Alto Paranaíba, western Minas Gerais, Brazil, when materials with such a variety of chemical compositions as tufite, alkaline-ultramafic igneous rocks and carbonatites are compared, which are all found in this region. The purpose of this study was to characterize the physical, chemical and mineralogical properties of three representative soil topolitosequences of the Alto Paranaíba region. Therefore, 11 soil profiles were described and collected in the Serra do Salitre, Patrocínio and Coromandel counties, […]

Environmental stratification in the Santana river watershed, south of Bahia, Brazil

Danusa Oliveira Campos, Cristina Carole Muggler, Elpidio Inácio Fernandes Filho, Mauricio Santana Moreau


Many environmental problems in the watershed of the Santana River are caused by anthropogenic influence and the impact of economic activities. To attenuate these conflicts and to ensure the conservation and sustainability of this regionally extremely important area, the environment must be better understood. The aim of this study was an environmental stratification of the catchment of the River Rio Santana, in the South of Bahia, Brazil, based on the analysis of inter-relations between landscape components. Vegetation, geology and topography […]

Multivariate analysis of Argisols of the Brazilian Atlantic coast

Waldir de Carvalho Junior, Carlos Ernesto G.R. Schaefer, César da Silva Chagas, Elpídio Inácio Fernandes Filho


The Brazilian Atlantic coast have has extreme environmental diversity, where is expressive the occurrence of Argisols, described and identified in several studies, that do not have exhausted the possibilities of interpretations. The objective of this study was to evaluate the main differences in the physical and chemical properties of Argisols of the Brazilian Atlantic coast by multivariate analysis, allowing inferences on their genesis and fertility. For this purpose, 91 soil profiles from the soil survey reports of the Project RADAMBRASIL were analyzed, […]

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