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Knowledge-based digital soil mapping for predicting soil properties in two representative watersheds Scientia Agricola
Menezes,Michele Duarte de; Silva,Sérgio Henrique Godinho; Mello,Carlos Rogério de; Owens,Phillip Ray; Curi,Nilton.
ABSTRACT: The estimation of soil physical and chemical properties at non-sampled areas is valuable information for land management, sustainability and water yield. This work aimed to model and map soil physical-chemical properties by means of knowledge-based digital soil mapping approach as a study case in two watersheds representative of different physiographical regions in Brazil. Two watersheds with contrasting soil-landscape features were studied regarding the spatial modeling and prediction of physical and chemical properties. Since the method uses only one value of soil property for each soil type, the way of choosing typical values as well the role of land use as a covariate in the prediction were tested. Mean prediction error (MPE) and root mean...
Tipo: Info:eu-repo/semantics/article Palavras-chave: ANOVA test; Spatial variability; Fuzzy logic; Typical values.
Ano: 2018 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162018000200144
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