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 | Acesso ao texto completo restrito à biblioteca da Embrapa Territorial. Para informações adicionais entre em contato com cnpm.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Territorial. |
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Data corrente: |
30/11/2015 |
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Data da última atualização: |
17/03/2016 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
TEIXEIRA, A. H. de C.; LEIVAS, J. F.; ANDRADE, R. G.; HERNANDEZ, F. B. T.; MOMESSO, F. R. A. |
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Afiliação: |
ANTONIO HERIBERTO DE C TEIXEIRA, CNPM; JANICE FREITAS LEIVAS, CNPM; RICARDO GUIMARAES ANDRADE, CNPM; FERNANDO B. T. HERNANDEZ, UNESP; FRANCO R. A. MOMESSO, UNESP. |
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Título: |
Modelling radiation and energy balances with Landsat 8 images under different thermohydrological conditions in the Brazilian semi-arid region. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
Remote Sensing for Agriculture, Ecosystems, and Hydrology, v. 9637, p. 96370U-1-96370U-14, 2015. |
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DOI: |
10.1117/12.2195044 |
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Idioma: |
Português |
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Notas: |
Presented at the 17th Remote Sensing for Agriculture, Ecosystems, and Hydrology. |
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Conteúdo: |
Four Landsat 8 images were used together with a net of seven agro-meteorological stations for modelling the large-scale radiation and energy balances in the mixed agro-ecosystems inside a semi-arid area composed by irrigated crops and natural vegetation of the Petrolina municipality, Northeast Brazil, along the year 2014. The SAFER algorithm was used to calculate the latent heat flux, net radiation (Rn) was acquired by the Slob equation, ground heat flux (G) was considered as a fraction of Rn and the sensible flux (H) was retrieved by residue in the energy balance equation. For classifying the vegetation into irrigated crops and natural vegetation, the SUREAL algorithm was applied to determine the surface resistance (rs) and threshold values for rs were used to characterize the energy fluxes from these types of vegetated surfaces. Clearly one could see higher from irrigated crops than from natural vegetation with some situations of heat horizontal advection increasing its values until 23% times larger than Rn, with respective average E ranges of 5.7 (64% of Rn) to 7.9 (79% of Rn) and 0.4 (4% of Rn) to 4.3 (37% of Rn) MJ m-2 d-1. The corresponding H mean values were from 1.8 (18% of Rn) to 3.2 (28% of Rn) and 5.4 (60% of Rn) to 9.2 (94% of Rn) MJ m-2 d-1. Average G pixel values ranged from 0.3 to 0.4 MJ m-2 d-1, representing 3 and 4% of Rn for natural vegetation and irrigated crops, respectively. |
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Palavras-Chave: |
Energy partition; Latent heat flux; Net radiation; Sensible heat flux; Soil heat flux. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02341naa a2200253 a 4500
001 2029929
005 2016-03-17
008 2015 bl uuuu u00u1 u #d
024 7 $a10.1117/12.2195044$2DOI
100 1 $aTEIXEIRA, A. H. de C.
245 $aModelling radiation and energy balances with Landsat 8 images under different thermohydrological conditions in the Brazilian semi-arid region.$h[electronic resource]
260 $c2015
500 $aPresented at the 17th Remote Sensing for Agriculture, Ecosystems, and Hydrology.
520 $aFour Landsat 8 images were used together with a net of seven agro-meteorological stations for modelling the large-scale radiation and energy balances in the mixed agro-ecosystems inside a semi-arid area composed by irrigated crops and natural vegetation of the Petrolina municipality, Northeast Brazil, along the year 2014. The SAFER algorithm was used to calculate the latent heat flux, net radiation (Rn) was acquired by the Slob equation, ground heat flux (G) was considered as a fraction of Rn and the sensible flux (H) was retrieved by residue in the energy balance equation. For classifying the vegetation into irrigated crops and natural vegetation, the SUREAL algorithm was applied to determine the surface resistance (rs) and threshold values for rs were used to characterize the energy fluxes from these types of vegetated surfaces. Clearly one could see higher from irrigated crops than from natural vegetation with some situations of heat horizontal advection increasing its values until 23% times larger than Rn, with respective average E ranges of 5.7 (64% of Rn) to 7.9 (79% of Rn) and 0.4 (4% of Rn) to 4.3 (37% of Rn) MJ m-2 d-1. The corresponding H mean values were from 1.8 (18% of Rn) to 3.2 (28% of Rn) and 5.4 (60% of Rn) to 9.2 (94% of Rn) MJ m-2 d-1. Average G pixel values ranged from 0.3 to 0.4 MJ m-2 d-1, representing 3 and 4% of Rn for natural vegetation and irrigated crops, respectively.
653 $aEnergy partition
653 $aLatent heat flux
653 $aNet radiation
653 $aSensible heat flux
653 $aSoil heat flux
700 1 $aLEIVAS, J. F.
700 1 $aANDRADE, R. G.
700 1 $aHERNANDEZ, F. B. T.
700 1 $aMOMESSO, F. R. A.
773 $tRemote Sensing for Agriculture, Ecosystems, and Hydrology$gv. 9637, p. 96370U-1-96370U-14, 2015.
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Embrapa Territorial (CNPM) |
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| 9. |  | TEIXEIRA, A. H. de C.; SCHERER-WARREN, M.; HERNANDEZ, F. B. T.; ANDRADE, R. G. Balanço de energia em larga escala no município de Juazeiro - BA, Brasil. In: CONGRESSO BRASILEIRO DE AGROMETEOROLOGIA, 18., 2013, Belém, PA. Belém, PA: Sociedade Brasileira de Agrometeorologia, 2013. 6 p.| Tipo: Artigo em Anais de Congresso |
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