Evaluation of conditioned latin hypercube sampling as a support for soil mapping and spatial variability of soil properties

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorSilva, Sérgio Henrique Godinho-
Autor(es): dc.creatorOwens, Phillip Ray-
Autor(es): dc.creatorSilva, Bruno Montoani-
Autor(es): dc.creatorOliveira, Geraldo César de-
Autor(es): dc.creatorMenezes, Michele Duarte de-
Autor(es): dc.creatorPinto, Leandro Campos-
Autor(es): dc.creatorCuri, Nilton-
Data de aceite: dc.date.accessioned2026-02-09T12:29:16Z-
Data de disponibilização: dc.date.available2026-02-09T12:29:16Z-
Data de envio: dc.date.issued2017-06-06-
Data de envio: dc.date.issued2017-06-06-
Data de envio: dc.date.issued2014-
Fonte completa do material: dc.identifierhttps://repositorio.ufla.br/handle/1/13189-
Fonte completa do material: dc.identifierhttps://dl.sciencesocieties.org/publications/sssaj/abstracts/79/2/603-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1162278-
Descrição: dc.descriptionIn soil surveys, the number of collected samples is commonly reduced by factors that hamper field activities, such as rugged terrain and lack of roads. Conditioned Latin hypercube (CLH) sampling has been used to properly capture soil variability across the landscape, whereas cost-constrained conditioned Latin hypercube (CCLH) sampling limits the sampling to areas of easy access. The objectives of this work were to: (i) compare the efficiency of CLH and CCLH sampling systems to create soil maps, considering the number of soil classes covered per system, (ii) compare both systems to map soil A horizon thickness, and (iii) generate a detailed soil map of the study area to assist in decision makings. The study was performed in Minas Gerais, Brazil. A digital elevation model (DEM) and its terrain derivatives were the basis for CLH and CCLH to determine the sampling points. The CCLH system also required a cost map that represented the difficulty of reaching every place in the area. At the sampling locations, soil information was observed, allowing for the creation of those maps that were further validated in the field. Kappa index, global index (GI), RMSE, 1:1 ratio graphic, and R2 were the comparison parameters. Conditioned Latin hypercube presented higher accuracy than CCLH to represent both soil classes and soil attributes, although the samples were spread out in the area. Cost-constrained conditioned Latin hypercube was less representative than CLH, but it may contribute to soil sampling in areas of difficult access, common in developing countries, such as Brazil.-
Idioma: dc.languageen-
Publicador: dc.publisherEnvironmental Science Societies-
Direitos: dc.rightsrestrictAccess-
???dc.source???: dc.sourceSoil Science Society of America Journal-
Palavras-chave: dc.subjectSolo - Propriedades-
Palavras-chave: dc.subjectMapeamento do solo-
Palavras-chave: dc.subjectAmostragem por hipercubo latino-
Palavras-chave: dc.subjectGround - Properties-
Palavras-chave: dc.subjectMapping the soil-
Palavras-chave: dc.subjectLatin hypercube sampling-
Título: dc.titleEvaluation of conditioned latin hypercube sampling as a support for soil mapping and spatial variability of soil properties-
Tipo de arquivo: dc.typeArtigo-
Aparece nas coleções:Repositório Institucional da Universidade Federal de Lavras (RIUFLA)

Não existem arquivos associados a este item.