Elpídio Inácio Fernandes-Filho

Elpídio Inácio Fernandes-Filho
Universidade Federal de Viçosa (UFV) | UFV · Departamento de Solos

Doctor Science
Full professor at Universidade Federal de Vicosa - Brazil.

About

307
Publications
81,653
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
3,142
Citations
Citations since 2016
149 Research Items
2170 Citations
20162017201820192020202120220100200300400500600
20162017201820192020202120220100200300400500600
20162017201820192020202120220100200300400500600
20162017201820192020202120220100200300400500600
Introduction
Elpidio Inacio Fernandes Filho currently works at the Soil Departament, Universidade Federal de Viçosa (UFV). Elpidio does research in Soil Science, Remote Sensing and Machine Learnig. Their current project is Digital soil mapping.
Additional affiliations
August 1994 - present
Universidade Federal de Viçosa (UFV)
Position
  • Professor (Full)

Publications

Publications (307)
Article
Full-text available
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...
Article
Monitoring and evaluating forest restoration projects is a challenge especially in large-scale, but the remote monitoring of indicators with the use of synoptic, multispectral and multitemporal data allows us to gauge the restoration success with more accurately and in small time. The objective of this study was to elaborate and compare methods of...
Article
Full-text available
Monitoring agricultural crops is necessary for decision-making in the field. However, it is known that in some regions and periods, cloud cover makes this activity difficult to carry out in a systematic way throughout the phenological cycle of crops. This circumstance opens up opportunities for techniques involving radar sensors, resulting in image...
Article
Full-text available
Climate change may impose severe challenges to farmers to maintain agricultural production levels in the future. In this study we analysed the effect of projected changes in climate on the area suitable for coffee production in 2050, and the potential of agroforestry systems to mitigate these effects in a major coffee production region in southeast...
Chapter
The study aimed to evaluate and compare the prediction accuracy of two pedometric models with a conventional model for mapping the soil organic carbon and clay contents. Both pedometric models were Regression-kriging models. The difference between the two models is that one model included a conventional soil class map as covariate in addition to co...
Article
Determining the levels and spatial distribution of potentially toxic elements (PTEs) is essential in designing mitigating strategies to remediate contaminated areas. Efficient prediction of PTEs is difficult due to high spatial variability and multiple sources of contamination. The use of machine learning algorithms is an alternative for the improv...
Article
Surface sediment concentration (SSC) is linked to several problems related to water quality and its monitoring is costly because of the required fieldwork and laboratory analyses. Thus, sediment measurements are often sporadic, punctual, and performed during a short period. Orbital remote sensing allows the monitoring of SSC along the river channel...
Article
Full-text available
In this paper, we report the results of an in-depth review of scientific literature on the assessment of rainfall erosivity in Brazil and published in peer-reviewed journals over the last three decades. In total, 123 articles regarding this topic in Brazil were published. These studies were analyzed and filtered into categories regarding the biblio...
Article
Full-text available
The Cerrado biome has presented challenges in reconciling its agricultural expansion with water availability. In this sense, water resources planning and management are fundamental for the economic, social, and environmental development of the Cerrado biome, which has been hampered by the lack of data, especially those referring to irrigation strat...
Article
Full-text available
The continental margin of Northeast Brazil (NE Brazil) is the most seismogenic of the passive margin of South America and has several evidence of neotectonics. However, the duration and magnitude of neotectonic events cannot be uniformly replicated for a scale of ∼3000 km of extension. Therefore, this study aimed to understand the tectonic dynamics...
Article
Antarctic soils are heavily affected by climate change in terms of properties and ecosystem functions. With increasing global temperatures, the frequency of freeze and thaw cycles of Antarctic soils will increase, thus affecting their mechanical behavior, with varying responses in erosion. This study quantitatively evaluated the effect of increasin...
Article
Full-text available
Despite occupying a large area of the globe and being the next agricultural frontier, sandy soils are seldom explored in scientific studies. Considering the high capacity of remote sensing in soil characterization, this work aimed to: (i) characterize sandy soils' profiles from proximal sensing; (ii) assess the ability of visible, near, and shortwa...
Conference Paper
Full-text available
Este trabalho descreve o processo de uma Revisão Sistemática da Literatura (RSL) realizada na área de mineração de dados e aprendizado de máquina aplicados a dados ambientais e geográficos com foco em cobertura e uso de solo. As publicações mais relevantes obtidas ao final deste processo são detalhadas, buscando-se elencar direções futuras para pes...
Article
Full-text available
The modernization of computational resources and application of artificial intelligence algorithms have led to advancements in studies regarding the evapotranspiration of crops by remote sensing. Therefore, this research proposed the application of machine learning algorithms to estimate the ETrF (Evapotranspiration Fraction) of sugar can crop usin...
Article
All the characteristics of the mountainous environment directly influence the coffee crops, and subsequently, on the final coffee note, that reflects the quality of the beverage produced in a region. Despite increasing coffee research, little is known about the influence of the water indices, factors, and the elements of climate on top-quality coff...
Article
Pedogenetic processes such as ferralitization and argilluviation control various soil attributes. Understanding the intensities of pedogenesis can provide answers for several fields of environmental studies, including soil science and the geosciences. Recently, new geotechnologies such as geophysics applied to soil science and machine learning algo...
Article
Full-text available
Los parámetros hidrológicos y morfométricos de una cuenca constituyen estimaciones que deben realizarse sobre un mapa con suficiente información. La recopilación de esta in situ se ha visto limitada por problemas de orden público. Entre los índices morfométricos de una cuenca se encuentra el índice de circularidad (Ic), que hasta el momento no ha s...
Article
Full-text available
Kriging has been shown to be the best interpolator to interpolate maps in precision agriculture. However, Kriging requires a high number of sampling points to generate accurate maps. Recently, machine learning (ML) techniques have shown the potential to produce maps with a lower number of sampling points. In addition, using ML map generation can be...
Chapter
In this chapter, we first describe the global nature of tropical regoliths, showing the remarkable differences with temperate latitudes counterparts. It is shown that most regoliths and subsoils in the tropics are polycyclic and not directly attributable to the present-day climates because of inherited features from past climatic conditions. The Br...
Article
Full-text available
The Brazilian Savannah (Cerrado biome) is the the main agricultural region in Brazil. The Cerrado has experienced a growing intensification of agriculture and an increase in disputes over water use, highlighting the need to establish strategies to reduce the water withdrawn from waterbodies, mainly through irrigation. The lack of data at a proper s...
Article
The potential of using spectroscopy for the quantification of soil attributes through its spectral signature is widely documented in the literature. However, a protocol to support formal soil classification systems combining spectral data has not been established. This research proposed a protocol for soil profile classification by combining spectr...
Preprint
Full-text available
Weathering is widely used for pedogenesis and soil fertility studies, once it affects several soil attributes. 15 Understanding the intensities of weathering can provide answers for environmental issues, soil and geosciences studies. Recently, there are available geotechnologies (such as geophysics and machine learning algorithms) that can be appli...
Article
Soil apparent electrical conductivity (ECa) is related to various soil attributes and processes. This research aimed to understand the relationship between ECa and pedogenesis, lithology and attributes. The study area is located in São Paulo State, Brazil. Soil samples were collected for physical-chemical analysis from 79 locations (0 - 20 cm layer...
Article
The spatiotemporal dynamic of rainfall erosivity is essential for environmental studies and guidance to control erosion. The purpose of this study is to assess rainfall erosivity (monthly and annual), testing machine learning algorithms aided by a covariate bank for spatial prediction of rainfall erosivity in Southeastern Brazil. The modeling teste...
Article
Several anthropic activities, especially mining, have contributed to the exacerbation of contents of potentially toxic elements in soils around the world. Mines can release a large amount of direct sources of contaminants into the environment, and even after the mines are no longer being exploited, the environmental liabilities generated may contin...
Article
Full-text available
The main objective of this paper is to predict soil attributes in unsampled areas using geostatistical models, By improving the prediction parameters of selected data, using environmental covariates characteristic of Antarctic ice free areas. In this study, 58 soil samples from a grid were collected at 0-10 cm depth in Keller Peninsula, King George...
Article
Full-text available
Inselbergs are rocky outcrops generally composed of granitic or gneiss matrix, with monolithic proportions and expressive levels of biodiversity and endemism in different climatic domains. Brazil has one of the largest concentrations of Inselbergs on the planet, which require research to highlight the representative sites for conservation in the ur...
Article
A way to reconstruct optical sensor-derived images allowing cloud-free vegetation monitoring is proposed in this paper. The motivation is the influence that clouds have on optical remote sensing of tropical regions, which hinders Earth observation systems because their presence reduces imaging frequency. To circumvent that problem, a machine learni...
Article
Full-text available
Sulfurization is a pedogenic process that involves pyrite oxidation and strong soil acidifi cation, accounting for the formation of acid sulfate soils. In Antarctica, acid sulfate soils are related to specifi c parent materials, such as sulfi de-bearing andesites in Maritime Antarctica and pyritized sedimentary rocks in James Ross Archipelago. The...
Conference Paper
Full-text available
Soil texture influences soil's physical, chemical, and biological processes, being crucial for understanding soil functions and improving decision making. This paper aimed to map the surface soil texture in the Minas Gerais state, Brazil, through machine learning and legacy data. We used 668 georeferenced samples containing coarse sand, fine sand,...
Article
The detailed geomorphology of ice‐free landscapes of Antarctica is key to understand how their highly fragile environments respond to climate changes, at different temporal and spatial scales. Despite the recent advances in geomorphological studies of ice‐free areas, machine learning applications to produce landform maps are still scarce on the Ant...
Data
Supplementary material of the article "A Machine Learning approach to reconstruct cloudy affected vegetation indices imagery via data fusion from Sentinel-1 and Landsat 8" (https://doi.org/10.1016/j.compag.2022.106753).
Article
Full-text available
Geophysical sensors combined with machine learning algorithms were used to understand the pedosphere system and landscape processes and to model soil attributes. In this research, we used parent material, terrain attributes, and data from geophysical sensors in different combinations to test and compare different and novel machine learning algorith...
Article
In most parts of Antarctica, specifically in arid and semi-arid condition, soils are the results of weak weathering and little pedogenic processes. There, the use of geochemical data is considered an important tool to interpret possible pedological processes through the changing molecular ratios of elements with depth. The semi-arid soils of Antarc...
Article
The Iron Quadrangle (IQ) in Brazil is one of the world's largest reserves of iron ore, and besides its economic importance, the region also plays a key role in nature conservation with the endemic Campo Rupestre vegetation. Despite a large number of protected areas (PAs) offering refuge for the remaining Campo Rupestre vegetation in the IQ, studies...
Article
Reference evapotranspiration (ETo) can be estimated using the FAO56-Penman-Monteith (FAO56-PM) equation but it requires commonly unavailable meteorological data. Therefore, this study assessed different approaches to estimate ETo based on temperature and relative humidity, and temperature only across Brazil, as follows: (i) using the FAO56-PM equat...
Article
Full-text available
Land-use and land-cover (LULC) are important environmental properties of the Earth’s surface. Satellite platforms and state-of-the-art algorithms enable the mapping of large areas, but they still need to be improved. This study aimed to compare free- and open-access images from radar and optical sensors, using the Google Earth Engine™ (GEE) for sup...
Article
Full-text available
Micro-dams are efficient in controlling erosion and increases the rate of water infiltration into the soil. The study aims to predict potential areas for micro-dam allocation. We prepared the map of potential areas for micro-dam from the multi-criteria analysis (AHP) using topographic data and land use. Furthermore, we developed a methodological fr...
Article
The Quadrilátero Ferrífero (QF) in Brazil is a region of great economic, social and environmental importance, involving conflicts of interest due to land use and heavily pressured by iron mining and urban sprawl. This is an area of environmental importance due to supporting rupestrian vegetation areas on ferruginous substrates and springs from impo...
Preprint
In the world, the most significant change in the ecosystems structure is the conversion from natural land surface into cultivated systems. In 2018, 26.8% of the Brazilian territory was occupied by agricultural activities, from which 73% is pasture. Considering that the management adopted in Brazilian pastures is incipient and leads to degradation,...
Article
Full-text available
Siqueira et al. ABSTRACT The municipality of Viçosa has experienced problems of water scarcity. In order to evaluate the thickness of the deposition layer at one of the municipal reservoirs, a ground penetrating radar (GPR) was used. Sediment samples were analyzed using X-Ray fluorescence spectrometry (XRF) to determine the chemical composition of...
Article
Full-text available
It remains unclear whether temperature and precipitation exert independent control on tropical vegetation and soil C pools. Likewise, it is unknown whether the feedbacks of tropical C pools to climate constraints vary with nutrient availability. These aspects are critical to improving our ability to predict the response of tropical C pools to clima...
Article
The temporal dynamics of land use and land cover (LULC) changes affect natural resources and biodiversity on a local and global scale. The negative impacts of LULC changes can be enhanced in arid and semi-arid areas, where vegetations are more sensitive to changes due to limited water availability. The present study aimed to explore the detailed sp...
Article
Full-text available
Unmanned aerial vehicles (UAVs) present themselves as an alternative to overcome the limitations of satellite sensors in monitoring agricultural crops, motivating many studies with UAVs. They can carry sensors, which need studies for better understanding. The present study aimed to vicariously calibrate a Red-Green-Near infrared (RG-NIR) low-cost s...
Article
Full-text available
The reduction of forest areas in recent years has influenced landscape fragmentation, compromising ecosystem functions. The natural forest, in addition to maintaining biodiversity, is capable of improving the hydrological conditions of the watershed. This study aimed to characterize the landscape structure of the remaining forest fragments in the S...
Article
Water quality monitoring is fundamental for the maintenance and conservation of water resources. However, the conventional monitoring method, which uses point sampling, does not adequately represent the spatial variability of its parameters, besides being costly. As a result, remote sensing techniques with the use of orbital sensors have been appli...
Preprint
Full-text available
Geophysical sensors combined with machine learning algorithms have been used to understand the pedosphere system, landscape processes and to model soil attributes. In this research, we used parent material, terrain attributes and data from geophysical sensors in different combinations, to test and compare different and novel machine learning algori...
Article
There are different methods for predicting streamflow, and, recently machine learning has been widely used for this purpose. This technique uses a wide set of covariables in the prediction process that must undergo a selection to increase the precision and stability of the models. Thus, this work aimed to analyze the effect of covariable selection...
Article
Full-text available
Scenarios of land use and land cover (LULC) are essential to orient public policies and improve future landscape, but scenarios of LULC at high resolution aiming to guide government actions are still scarce in the frontiers of deforestation in the tropics. This study aimed to explore the historical LULC changes (1985 to 2015) and anticipate how the...
Conference Paper
Full-text available
Soil organic carbon stock (ECOS) estimates are useful to inform strategies for sustainable land use management, as well as to increase the accuracy of ECOS at broader territorial levels. In this context, the objective was to model the ECOS of the state of Rondônia using machine learning. The study was carried out using legacy data from 2,914 soil p...
Article
Focused on supporting the planning and management of water resources in a watershed domain, this study aimed to assess and compare the performance of multiple approaches for streamflow regionalization. The applied methods were based on linear interpolation, regional regressions (RR), and kriging. The dependent variables used were low-flows of refer...
Article
Brazil is one of the leading timber producers in the world. However, in South Brazil, frost events frequently cause damage and reduce yield in forest plantations, a situation predicted to become more common under global change scenarios. This raises the need for low cost and efficient tools, such as machine learning algorithms to improve forecastin...
Preprint
Full-text available
We investigated the effects of Fe-mining tailings of the Fundão dam on water quality, concerning physical and chemical parameters, aiming to infer the recovery process of the affected areas, and prospects of water quality in the coming years. Water quality data from the Gualaxo do Norte and Carmo rivers were evaluated in three moments: (i) before t...
Article
Full-text available
We investigated the effects of Fe-mining tailings of the Fundão dam on water quality, concerning physical and chemical parameters, aiming to infer the recovery process of the affected areas, and prospects of water quality in the coming years. Water quality data from the Gualaxo do Norte and Carmo rivers were evaluated in three moments: (i) before t...