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dc.creatorMenezes, Michele Duarte de-
dc.creatorSilva, Sérgio Henrique Godinho-
dc.creatorMello, Carlos Rogério de-
dc.creatorOwens, Phillip Ray-
dc.creatorCuri, Nilton-
dc.date.accessioned2017-09-29T11:36:02Z-
dc.date.available2017-09-29T11:36:02Z-
dc.date.issued2014-07-
dc.identifier.citationMENEZES, M. D. de et al. Solum depth spatial prediction comparing conventional with knowledge-based digital soil mapping approaches. Scientia Agricola, Piracicaba, v. 71, n. 4, p. 316-323, July/Ago. 2014.pt_BR
dc.identifier.urirepositorio.ufla.br/jspui/handle/1/15450-
dc.description.abstractSolum depth and its spatial distribution play an important role in different types of environmental studies. Several approaches have been used for fitting quantitative relationships between soil properties and their environment in order to predict them spatially. This work aimed to present the steps required for solum depth spatial prediction from knowledge-based digital soil mapping, comparing the prediction to the conventional soil mapping approach through field validation, in a watershed located at Mantiqueira Range region, in the state of Minas Gerais, Brazil. Conventional soil mapping had aerial photo-interpretation as a basis. The knowledge-based digital soil mapping applied fuzzy logic and similarity vectors in an expert system. The knowledge-based digital soil mapping approach showed the advantages over the conventional soil mapping approach by applying the field expert-knowledge in order to enhance the quality of final results, predicting solum depth with suited accuracy in a continuous way, making the soil-landscape relationship explicit.pt_BR
dc.languageen_USpt_BR
dc.publisherUniversidade de São Paulo: Escola Superior de Agricultura "Luiz de Queiroz"pt_BR
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rightsacesso abertopt_BR
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.sourceScientia Agricolapt_BR
dc.subjectSoil mappingpt_BR
dc.subjectImage analysispt_BR
dc.subjectRemote sensingpt_BR
dc.subjectFuzzy logicpt_BR
dc.subjectMapeamento do solopt_BR
dc.subjectAnálise de imagempt_BR
dc.subjectSensoriamento remotopt_BR
dc.subjectLógica fuzzypt_BR
dc.titleSolum depth spatial prediction comparing conventional with knowledge-based digital soil mapping approachespt_BR
dc.typeArtigopt_BR
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