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All publications of “Nilson Rendeiro Pereira”

3 results

Mapping Soil Cation Exchange Capacity in a Semiarid Region through Predictive Models and Covariates from Remote Sensing Data

César da Silva Chagas, Waldir de Carvalho Júnior, Helena Saraiva Koenow Pinheiro, Pedro Armentano Mudado Xavier, Silvio Barge Bhering, Nilson Rendeiro Pereira, [...]


ABSTRACT: Planning sustainable use of land resources requires reliable information about spatial distribution of soil physical and chemical properties related to environmental processes and ecosystemic functions. In this context, cation exchange capacity (CEC) is a fundamental soil quality indicator; however, it takes money and time to obtain this data. Although many studies have been conducted to spatially quantify soil properties on various scales and in different environments, not much is known about interactions between soil properties and environmental covariates in […]

Conditioned latin hypercube method for soil sampling in the presence of environmental covariates for digital soil mapping

Waldir de Carvalho Júnior, César da Silva Chagas, Alexandre Muselli, Helena Saraiva Koenow Pinheiro, Nilson Rendeiro Pereira, Silvio Barge Bhering


Soil sampling is one of the most important stages in soil surveys. However, in conventional soil surveys, sampling schemes have proven to be inadequate for digital soil mapping because they may affect the results obtained and, in addition, they do not allow statistical estimations to be performed. This study attempts to evaluate the conditioned Latin Hypercube Sampling (cLHS) method with four environmental covariates (elevation, slope, curvature and land cover/land use map), in comparison to random sampling, in allocating 100 sample […]

Testing ALES (Automated Land Evaluation System) in the microregions Chapecó and Xanxerê, Western Santa Catarina State, for bean crop

César da Silva Chagas, Waldir de Carvalho Junior, Nilson Rendeiro Pereira, Elpidio Inácio Fernandes Filho


Land evaluation is a process that estimates the land use potential based on its properties. A large variety of analytic models can be used in this process. In Brazil, the two most widely used land evaluation systems are the “Sistema de Classificação da Capacidade de Uso da Terra” and “Sistema FAO/Brasileiro de Aptidão Agrícola das Terras”. Although different in several aspects, both require the crossing of countless environmental variables. ALES (Automated Land Evaluation System) is a computer program that allows […]