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Registro Completo |
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Biblioteca(s): |
Embrapa Cerrados. |
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Data corrente: |
03/02/2016 |
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Data da última atualização: |
21/02/2025 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SIQUEIRA, D. S.; MARQUES JUNIOR, J.; PEREIRA, G. T.; TEIXEIRA, D. B.; VASCONCELOS, V.; CARVALHO JÚNIOR, O. A.; MARTINS, E. de S. |
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Afiliação: |
J. MARQUES JUNIOR; EDER DE SOUZA MARTINS, CPAC. |
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Título: |
Detailed mapping unit design based on soil-landscape relation and spatial variability of magnetic susceptibility and soil color. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
Catena, v. 135, p. 149-162, 2015. |
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DOI: |
http://dx.doi.org/10.1016/j.catena.2015.07.010 |
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Idioma: |
Inglês |
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Conteúdo: |
The objective was to identify landscape areas with different patterns of variability using a statistic protocol with data of magnetic susceptibility (MS) and soil color that are covariate attributes of soil formation factors and processes. The studied area, of 380 ha, is located in Northeast of São Paulo State, Brazil. An amount of 86 samples was collected using 30 m intervals on the transect. At the transect sides, 150 samples were collected at 159 m intervals (a point each 2.5 ha). First the accuracy limits have been validated in the transect using the technique of Split Moving Windows — SMW. The limits identified in the transect were extrapolated to the sides using the contours of variability maps. The MS peaks SMW, for both depths, presented a correlation with the peaks of clay content (r = 0.7; P < 0.01), hue (varying from 0:37; P < 0.05 to 0.61; P < 0.01) and Normalized Difference Vegetation Index—NDVI (varying from − 0.25 to − 0.35, P < 0.05). The errors of the MS spatial variability maps (6.22–11.85%) were similar to the clay content ones (6:22 to 14:16%). MS was more efficient in the compartmentalization of the landscape (identification of areas with different patterns of variability) than the hue determined by diffuse reflectance spectroscopy in Oxisols under the transition Basalt and Colluvial–Elluvial–Alluvial Deposits. The results of this study can lead to using an alternative strategy that is a mapping of soil attributes and identification of areas with different patterns of pedogenic iron oxide variability. MenosThe objective was to identify landscape areas with different patterns of variability using a statistic protocol with data of magnetic susceptibility (MS) and soil color that are covariate attributes of soil formation factors and processes. The studied area, of 380 ha, is located in Northeast of São Paulo State, Brazil. An amount of 86 samples was collected using 30 m intervals on the transect. At the transect sides, 150 samples were collected at 159 m intervals (a point each 2.5 ha). First the accuracy limits have been validated in the transect using the technique of Split Moving Windows — SMW. The limits identified in the transect were extrapolated to the sides using the contours of variability maps. The MS peaks SMW, for both depths, presented a correlation with the peaks of clay content (r = 0.7; P < 0.01), hue (varying from 0:37; P < 0.05 to 0.61; P < 0.01) and Normalized Difference Vegetation Index—NDVI (varying from − 0.25 to − 0.35, P < 0.05). The errors of the MS spatial variability maps (6.22–11.85%) were similar to the clay content ones (6:22 to 14:16%). MS was more efficient in the compartmentalization of the landscape (identification of areas with different patterns of variability) than the hue determined by diffuse reflectance spectroscopy in Oxisols under the transition Basalt and Colluvial–Elluvial–Alluvial Deposits. The results of this study can lead to using an alternative strategy that is a mapping of soil attributes and identification of areas with differe... Mostrar Tudo |
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Palavras-Chave: |
Geo estatítica; Pedometria. |
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Thesagro: |
Classificação do solo; Geologia. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02353naa a2200253 a 4500
001 2035991
005 2025-02-21
008 2015 bl uuuu u00u1 u #d
024 7 $ahttp://dx.doi.org/10.1016/j.catena.2015.07.010$2DOI
100 1 $aSIQUEIRA, D. S.
245 $aDetailed mapping unit design based on soil-landscape relation and spatial variability of magnetic susceptibility and soil color.
260 $c2015
520 $aThe objective was to identify landscape areas with different patterns of variability using a statistic protocol with data of magnetic susceptibility (MS) and soil color that are covariate attributes of soil formation factors and processes. The studied area, of 380 ha, is located in Northeast of São Paulo State, Brazil. An amount of 86 samples was collected using 30 m intervals on the transect. At the transect sides, 150 samples were collected at 159 m intervals (a point each 2.5 ha). First the accuracy limits have been validated in the transect using the technique of Split Moving Windows — SMW. The limits identified in the transect were extrapolated to the sides using the contours of variability maps. The MS peaks SMW, for both depths, presented a correlation with the peaks of clay content (r = 0.7; P < 0.01), hue (varying from 0:37; P < 0.05 to 0.61; P < 0.01) and Normalized Difference Vegetation Index—NDVI (varying from − 0.25 to − 0.35, P < 0.05). The errors of the MS spatial variability maps (6.22–11.85%) were similar to the clay content ones (6:22 to 14:16%). MS was more efficient in the compartmentalization of the landscape (identification of areas with different patterns of variability) than the hue determined by diffuse reflectance spectroscopy in Oxisols under the transition Basalt and Colluvial–Elluvial–Alluvial Deposits. The results of this study can lead to using an alternative strategy that is a mapping of soil attributes and identification of areas with different patterns of pedogenic iron oxide variability.
650 $aClassificação do solo
650 $aGeologia
653 $aGeo estatítica
653 $aPedometria
700 1 $aMARQUES JUNIOR, J.
700 1 $aPEREIRA, G. T.
700 1 $aTEIXEIRA, D. B.
700 1 $aVASCONCELOS, V.
700 1 $aCARVALHO JÚNIOR, O. A.
700 1 $aMARTINS, E. de S.
773 $tCatena$gv. 135, p. 149-162, 2015.
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