Combining multiple methods for automated soil delineation: from traditional to digital

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorMello, Fellipe A. O.-
Autor(es): dc.creatorDemattê, José A. M.-
Autor(es): dc.creatorDotto, André C.-
Autor(es): dc.creatorMarques, Karina P. P.-
Autor(es): dc.creatorMello, Danilo C.-
Autor(es): dc.creatorMenezes, Michele D.-
Autor(es): dc.creatorSilva, Sérgio H. G.-
Autor(es): dc.creatorCuri, Nilton-
Data de aceite: dc.date.accessioned2026-02-09T11:34:16Z-
Data de disponibilização: dc.date.available2026-02-09T11:34:16Z-
Data de envio: dc.date.issued2022-11-15-
Data de envio: dc.date.issued2022-11-15-
Data de envio: dc.date.issued2022-07-11-
Fonte completa do material: dc.identifierhttps://repositorio.ufla.br/handle/1/55496-
Fonte completa do material: dc.identifierhttps://www.publish.csiro.au/sr/SR21067-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1142608-
Descrição: dc.descriptionContext: soil maps are a fundamental tool for agriculture development and for land management planning. Digital soil mapping (DSM) consists of a group of techniques based on geotechnologies and statistics/geostatistics that helps soil specialists to map soil types and properties. Aims: four DSM strategies were applied in south-east Brazil. The goal was to visually delineate soil polygons with support of different strategies. Methods: the delineation started with aerial photographs, followed by a bare soil image composition. Afterwards, it was added layers with landscape characterisation derived from digital terrain covariates and clustering analysis. Finally, digital clay content map from A and B horizons were used to produce a soil texture gradient raster (clay content increasing in depth). Key results: the increasing number of polygons proved that the addition of covariates increased the detail level of the soil map, enhancing visualisation of the landscape variation, resulting on a map that substantially improved both national and state soil inventories. Conclusions: we concluded that combining simple geotechnological tools might be of great utility for increasing detailed soil information proper for farmers and decision making. Implications: therefore, new soil information will be available for end users, supporting land management, food production sustainability, and soil conservation.-
Idioma: dc.languageen-
Publicador: dc.publisherCSIRO Publishing-
Direitos: dc.rightsrestrictAccess-
???dc.source???: dc.sourceSoil Research-
Palavras-chave: dc.subjectAerial images-
Palavras-chave: dc.subjectDigital soil mapping-
Palavras-chave: dc.subjectLandscape compartments-
Palavras-chave: dc.subjectLandscape modelling-
Palavras-chave: dc.subjectPedology-
Palavras-chave: dc.subjectRemote sensing-
Palavras-chave: dc.subjectSoil geography-
Palavras-chave: dc.subjectSoil mapping-
Título: dc.titleCombining multiple methods for automated soil delineation: from traditional to digital-
Tipo de arquivo: dc.typeArtigo-
Aparece nas coleções:Repositório Institucional da Universidade Federal de Lavras (RIUFLA)

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