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| Coelho,Fabrício Fernandes; Giasson,Elvio; Campos,Alcinei Ribeiro; Tiecher,Tales; Costa,José Janderson Ferreira; Coblinski,João Augusto. |
| ABSTRACT: In Brazil several digital soil class mapping studies were carried out from 2006 onwards to maximize the use of existing maps and information and to provide estimates for wider areas. However, there is no consensus on which methods have produced superior results in the predictive value of soil maps. This study conducts a systematic review of digital soil class mapping in Brazil and aims to analyze the factors which can improve the accuracy of digital soil class maps. Data from 334 digital soil class mapping studies were grouped and analyzed by Student's t-test, Wilcoxon-Mann-Whitney test and Kruskal-Wallis test. When conventional maps were used for validation, the studies showed average values of 63 % and when field samples were used, 56 % for... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Pedology; Mapping unit density; Artificial neural networks; Soil-forming factors; Overall accuracy. |
| Ano: 2021 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162021000501401 |
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