Applying conditional latin hypercube (cLHS) for selecting soil sampling location for digital soil mapping at Parque Estadual da Mata Seca, MG, Brazil.

dc.contributorMaria de Lourdes Mendonça Santos Brefin, Embrapa Solos; Ricardo Oliveira Dart, Consultor; Ricardo Luis Louro Berbara, UFRRJ - Universidade Federal Rural do Rio de Janeiro.
dc.creatorMENDONÇA-SANTOS, M. L.
dc.creatorDART, R. O.
dc.creatorBERBARA, R. L. L.
dc.date2012-10-06T01:00:32Z
dc.date2012-10-06T01:00:32Z
dc.date2008
dc.date2008-10-16
dc.date.accessioned2017-03-06T20:29:12Z
dc.date.available2017-03-06T20:29:12Z
dc.identifier13534
dc.identifierhttp://www.alice.cnptia.embrapa.br/handle/doc/339710
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/294402
dc.descriptionThe use of the Conditional Latin Hypercube (cLHS) to select soil samples location to be used in the prediction of soil properties as soil organic carbon seems to be an important tool to decrease costs and subjectivity of sampling schemes. The main objective of this work was to test this method in a no sampled area, aiming to evaluate its efficiency in Digital Soil Mapping (DSM) procedures. The results show that this method was able to significantly increase the reliability in the spatial distribution of the sampled points in Parque Estadual da Mata Seca (PEMS). The study area is located in the North of Minas Gerais State, Brazil, in Tropical Dry Forest (TDF) ecosystems mainly. In this study, the cLHS algorithm developed by Minasny & McBratney (2006) was used, in addition to some ancillary data as Land Use/Land Cover and Normalized Difference Vegetation Index (NDVI), in order to select 60 soil sampling location to the study of soil organic carbon and others soil properties. The cLHS will be further analyzed in its performance to select representative points to be sampled and how this method could be helpful for DSM.
dc.description2008
dc.format6 p.
dc.languageen
dc.publisherIn: GLOBAL WORKSHOP ON DIGITAL SOIL MAPPING, 3,, 30 Sept.- Oct. 3, 2008, Logan, Utah. Bridging research, production, and environmental applications: papers.
dc.relationEmbrapa Solos - Resumo em anais de congresso (ALICE)
dc.subjectLatin hypercube
dc.titleApplying conditional latin hypercube (cLHS) for selecting soil sampling location for digital soil mapping at Parque Estadual da Mata Seca, MG, Brazil.
dc.typeActas de congresos


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