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 | Acesso ao texto completo restrito à biblioteca da Embrapa Amazônia Oriental. Para informações adicionais entre em contato com cpatu.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
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Data corrente: |
16/09/2003 |
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Data da última atualização: |
02/12/2022 |
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Autoria: |
LOURENÇO JUNIOR, J. de B.; SIMÃO NETO, M.; SÁ, T. D. A.; CAMARÃO, A. P.; LOURENÇO, A. V.; MORAES, M. P. S.; SILVA, J. A. R. |
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Afiliação: |
JOSÉ DE BRITO LOURENÇO JUNIOR, CPATU; MIGUEL SIMÃO NETO, CPATU; TATIANA DEANE DE ABREU SA, CPATU; ARI PINHEIRO CAMARÃO, CPATU; CPATU; CPATU; CPATU. |
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Título: |
Carcass characteristics and composition of cattle and water buffaloes raised on cultivated pasture ecosystem Marajo island, Brazil. |
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Ano de publicação: |
2000 |
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Fonte/Imprenta: |
Buffalo Journal, v. 16, n. 3, p. 277-285, 2000. |
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Descrição Física: |
il. |
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Idioma: |
Inglês |
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Palavras-Chave: |
Brasil; Ilha do Marajo; Pará. |
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Thesagro: |
Bovino; Brachiaria Humidicola; Búfalo; Capim Quicuio; Carcaça; Ecossistema; Pastagem Cultivada. |
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Thesaurus Nal: |
Amazonia. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 00937naa a2200325 a 4500
001 1404126
005 2022-12-02
008 2000 bl uuuu u00u1 u #d
100 1 $aLOURENÇO JUNIOR, J. de B.
245 $aCarcass characteristics and composition of cattle and water buffaloes raised on cultivated pasture ecosystem Marajo island, Brazil.$h[electronic resource]
260 $c2000
300 $cil.
650 $aAmazonia
650 $aBovino
650 $aBrachiaria Humidicola
650 $aBúfalo
650 $aCapim Quicuio
650 $aCarcaça
650 $aEcossistema
650 $aPastagem Cultivada
653 $aBrasil
653 $aIlha do Marajo
653 $aPará
700 1 $aSIMÃO NETO, M.
700 1 $aSÁ, T. D. A.
700 1 $aCAMARÃO, A. P.
700 1 $aLOURENÇO, A. V.
700 1 $aMORAES, M. P. S.
700 1 $aSILVA, J. A. R.
773 $tBuffalo Journal$gv. 16, n. 3, p. 277-285, 2000.
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Embrapa Amazônia Oriental (CPATU) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Semiárido. Para informações adicionais entre em contato com cpatsa.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Cerrados; Embrapa Semiárido. |
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Data corrente: |
05/07/2023 |
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Data da última atualização: |
23/01/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
FERREIRA, T. R.; MAGUIRE, M. S.; SILVA, B. B. da; NEALE, C. M. U.; SERRÃO, E. A. O.; FERREIRA, J. D.; MOURA, M. S. B. de; SANTOS, C. A. C. dos; SILVA, M. T.; RODRIGUES, L. N.; CARVALHO, H. F. S. |
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Afiliação: |
THOMAS R. FERREIRA, UFCG; MITCHELL S. MAGUIRE, Daugherty Water for Food Global Institute at the University of Nebraska, Lincoln, USA; BERNARDO B. DA SILVA, UFCG; CHRISTOPHER M. U. NEALE, Daugherty Water for Food Global Institute at the University of Nebraska, Lincoln, USA; EDIVALDO A. O. SERRÃO, UFCG; JÉSSICA D. FERREIRA, Daugherty Water for Food Global Institute at the University of Nebraska, Lincoln, USA; MAGNA SOELMA BESERRA DE MOURA, CPATSA; CARLOS A. C. DOS SANTOS, UFCG; MADSON T. SILVA, UFCG; LINEU NEIVA RODRIGUES, CPAC; HERICA F. S. CARVALHO, UNIVASF. |
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Título: |
Assessment of water demands for irrigation using energy balance and satellite data fusion models in cloud computing: a study in the Brazilian Semiarid region. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Agricultural Water Management, v. 281, 108260, 2023. |
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DOI: |
https://doi.org/10.1016/j.agwat.2023.108260 |
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Idioma: |
Inglês |
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Conteúdo: |
Assessment of irrigation in arid and semiarid regions is imperative to ensure the sustainable use of limited water resources and guarantee food production. Therefore, this study aimed to assess actual evapotranspiration ? ETa derived from the Surface Energy Balance Algorithm for Land ? SEBAL model with and without satellite image fusion as input of a soil water balance in a pilot area of sugarcane in the semiarid region of Brazil. A fusion of Landsat sensors? and Moderate Resolution Imaging Spectroradiometer ? MODIS? images was completed through a Spatial and Temporal Adaptive Reflectance Fusion Model ? STARFM script developed using cloud computing, and its performance in estimating key variables for the radiation balance was evaluated. ETa and irrigation were daily estimated between June, 2015 and May, 2016 by combining STARFM with SEBAL and evaluated according to the Bowen ratio technique and irrigation data. In addition, one-minute surface meteorological elements at the satellite overpass times were used. STARFM performed well with RMSE of 17.00 W m n addition, one-minute surface meteorological elements at the satellite overpass times were used. STARFM performed well with RMSE of 17.00 W m. 2.28 K, 0.07, and 0.01 for Rn, Ts, NDVI, and albedo, respectively. The metrics employed to evaluate ETa estimates indicated that the SEBAL+STARFM has low mean errors PBIAS = -2.75% and RMSE = 0.97 mm d and 16.66 mm month) and high coefficient of determination (0.87 for daily ETa?ET24, and 0.91 for monthly ETa), in comparison with SEBAL using Landsat-only images (PBIAS = -5.25%, RMSE = 0.97 mm d and 17.66 mm month , r2 = 0.92). Adding fused images resulted in a better fit of the estimated cumulative ET24 curve to the measured ET24. The water balance indicated that the cultivated cane suffered water stress, which was better represented by estimates using the ET24 curve with the addition of fused images than Landsat images alone. Although this increase in temporal resolution of the estimated ET24 data indicated a greater water consumption, it informs a quantity that would be sufficient to meet the water demand of the crops. MenosAssessment of irrigation in arid and semiarid regions is imperative to ensure the sustainable use of limited water resources and guarantee food production. Therefore, this study aimed to assess actual evapotranspiration ? ETa derived from the Surface Energy Balance Algorithm for Land ? SEBAL model with and without satellite image fusion as input of a soil water balance in a pilot area of sugarcane in the semiarid region of Brazil. A fusion of Landsat sensors? and Moderate Resolution Imaging Spectroradiometer ? MODIS? images was completed through a Spatial and Temporal Adaptive Reflectance Fusion Model ? STARFM script developed using cloud computing, and its performance in estimating key variables for the radiation balance was evaluated. ETa and irrigation were daily estimated between June, 2015 and May, 2016 by combining STARFM with SEBAL and evaluated according to the Bowen ratio technique and irrigation data. In addition, one-minute surface meteorological elements at the satellite overpass times were used. STARFM performed well with RMSE of 17.00 W m n addition, one-minute surface meteorological elements at the satellite overpass times were used. STARFM performed well with RMSE of 17.00 W m. 2.28 K, 0.07, and 0.01 for Rn, Ts, NDVI, and albedo, respectively. The metrics employed to evaluate ETa estimates indicated that the SEBAL+STARFM has low mean errors PBIAS = -2.75% and RMSE = 0.97 mm d and 16.66 mm month) and high coefficient of determination (0.87 for daily ETa?ET24, ... Mostrar Tudo |
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Palavras-Chave: |
Água certa; Google earth engine; Semiárido. |
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Thesagro: |
Balanço de Energia; Evapotranspiração; Irrigação. |
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Thesaurus NAL: |
Energy balance; Evapotranspiration; Remote sensing; Water rights. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 03318naa a2200373 a 4500
001 2154805
005 2024-01-23
008 2023 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.agwat.2023.108260$2DOI
100 1 $aFERREIRA, T. R.
245 $aAssessment of water demands for irrigation using energy balance and satellite data fusion models in cloud computing$ba study in the Brazilian Semiarid region.$h[electronic resource]
260 $c2023
520 $aAssessment of irrigation in arid and semiarid regions is imperative to ensure the sustainable use of limited water resources and guarantee food production. Therefore, this study aimed to assess actual evapotranspiration ? ETa derived from the Surface Energy Balance Algorithm for Land ? SEBAL model with and without satellite image fusion as input of a soil water balance in a pilot area of sugarcane in the semiarid region of Brazil. A fusion of Landsat sensors? and Moderate Resolution Imaging Spectroradiometer ? MODIS? images was completed through a Spatial and Temporal Adaptive Reflectance Fusion Model ? STARFM script developed using cloud computing, and its performance in estimating key variables for the radiation balance was evaluated. ETa and irrigation were daily estimated between June, 2015 and May, 2016 by combining STARFM with SEBAL and evaluated according to the Bowen ratio technique and irrigation data. In addition, one-minute surface meteorological elements at the satellite overpass times were used. STARFM performed well with RMSE of 17.00 W m n addition, one-minute surface meteorological elements at the satellite overpass times were used. STARFM performed well with RMSE of 17.00 W m. 2.28 K, 0.07, and 0.01 for Rn, Ts, NDVI, and albedo, respectively. The metrics employed to evaluate ETa estimates indicated that the SEBAL+STARFM has low mean errors PBIAS = -2.75% and RMSE = 0.97 mm d and 16.66 mm month) and high coefficient of determination (0.87 for daily ETa?ET24, and 0.91 for monthly ETa), in comparison with SEBAL using Landsat-only images (PBIAS = -5.25%, RMSE = 0.97 mm d and 17.66 mm month , r2 = 0.92). Adding fused images resulted in a better fit of the estimated cumulative ET24 curve to the measured ET24. The water balance indicated that the cultivated cane suffered water stress, which was better represented by estimates using the ET24 curve with the addition of fused images than Landsat images alone. Although this increase in temporal resolution of the estimated ET24 data indicated a greater water consumption, it informs a quantity that would be sufficient to meet the water demand of the crops.
650 $aEnergy balance
650 $aEvapotranspiration
650 $aRemote sensing
650 $aWater rights
650 $aBalanço de Energia
650 $aEvapotranspiração
650 $aIrrigação
653 $aÁgua certa
653 $aGoogle earth engine
653 $aSemiárido
700 1 $aMAGUIRE, M. S.
700 1 $aSILVA, B. B. da
700 1 $aNEALE, C. M. U.
700 1 $aSERRÃO, E. A. O.
700 1 $aFERREIRA, J. D.
700 1 $aMOURA, M. S. B. de
700 1 $aSANTOS, C. A. C. dos
700 1 $aSILVA, M. T.
700 1 $aRODRIGUES, L. N.
700 1 $aCARVALHO, H. F. S.
773 $tAgricultural Water Management$gv. 281, 108260, 2023.
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