2023
DOI: 10.4215/rm2023.e22010
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Predictive Modeling Applied to Potential Soil Erosion Risk Mapping in the Western Amazon

ELAINE LIMA DA FONSECA,
ELIOMAR PEREIRA DA SILVA FILHO

Abstract: The modeling of areas susceptible to soil loss due to hydro-erosive processes consists of methods that simplify reality to predict future behavior based on the observation and interaction of a set of geoenvironmental factors. Thus, the objective of the current analysis is to predict susceptibility to soil loss and map areas with the potential risk of erosion using the principles of Binary Logistic Regression (BLR) and Artificial Neural Networks (ANN). The hydrographic sub-basin of the Sete Voltas River (330 km… Show more

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