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Registro Completo |
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
28/08/2012 |
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Data da última atualização: |
05/03/2020 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
MENDONÇA-SANTOS, M. de L.; DART, R. de O.; BERBARA, R. L. L. |
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Afiliação: |
MARIA DE LOURDES M SANTOS BREFIN, CNPS; RICARDO DE OLIVEIRA DART, CNPS; UNIVERSIDADE FEDERAL RURAL DO RIO DE JANEIRO - UFRRJ. |
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Título: |
Applying Conditional Latin Hypercube (cLHS) for selecting soil sampling location for Digital Soil Mapping at Parque Estadual da Mata Seca, MG, Brazil. |
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Ano de publicação: |
2008 |
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Fonte/Imprenta: |
In: GLOBAL WORKSHOP ON DIGITAL SOIL MAPPING, 3., 2008, Logan, Utah. Bridging research, production, and environmental applications: papers. Logan, UT: University of Utah, 2008. 1 CD-ROM. |
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Idioma: |
Inglês |
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Conteúdo: |
The 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. |
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Palavras-Chave: |
CLHS; LHS; Mapeamento digital; Mata Seca. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/65151/1/Mendonca-Santos-Session-2.pdf
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Marc: |
LEADER 01879nam a2200181 a 4500
001 1932475
005 2020-03-05
008 2008 bl uuuu u00u1 u #d
100 1 $aMENDONÇA-SANTOS, M. de L.
245 $aApplying Conditional Latin Hypercube (cLHS) for selecting soil sampling location for Digital Soil Mapping at Parque Estadual da Mata Seca, MG, Brazil.$h[electronic resource]
260 $aIn: GLOBAL WORKSHOP ON DIGITAL SOIL MAPPING, 3., 2008, Logan, Utah. Bridging research, production, and environmental applications: papers. Logan, UT: University of Utah, 2008. 1 CD-ROM.$c2008
520 $aThe 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.
653 $aCLHS
653 $aLHS
653 $aMapeamento digital
653 $aMata Seca
700 1 $aDART, R. de O.
700 1 $aBERBARA, R. L. L.
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Registro original: |
Embrapa Solos (CNPS) |
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| Registros recuperados : 75 | |
| 14. |  | MENDONÇA-SANTOS, M. de L.; DART, R. de O.; BERBARA, R. L. L. Applying Conditional Latin Hypercube (cLHS) for selecting soil sampling location for Digital Soil Mapping at Parque Estadual da Mata Seca, MG, Brazil. In: GLOBAL WORKSHOP ON DIGITAL SOIL MAPPING, 3., 2008, Logan, Utah. Bridging research, production, and environmental applications: papers. Logan, UT: University of Utah, 2008. 1 CD-ROM.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Solos. |
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| 17. | | MENDONÇA-SANTOS, M. de L.; SANTOS, H. G. dos; DART, R. de O.; PARES, J. G. Digital mapping of soil classes in Rio de Janeiro State, Brazil: data, modelling and prediction. In: HARTEMINK, A. E.; McBRATNEY, A.; MENDONÇA-SANTOS, M. de L. (ed.). Digital soil mapping with limited data. Dordrecht: Springer, 2008. cap. 34, p. 381-396.| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Solos. |
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| 20. | | CATEN, A. ten; DALMOLIN, R. S. D.; PEDRON, F. de A.; MENDONÇA-SANTOS, M. de L. Componentes principais como preditores no mapeamento digital de classes de solos. Ciência Rural, Santa Maria, v.41, n.7, p.1170-1176, jul, 2011.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
| Biblioteca(s): Embrapa Solos. |
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| Registros recuperados : 75 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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