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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 |
Biblioteca(s): |
Embrapa Cerrados; Embrapa Semiárido. |
Data corrente: |
05/07/2023 |
Data da última atualização: |
23/01/2024 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
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. |
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. |
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. |
Ano de publicação: |
2023 |
Fonte/Imprenta: |
Agricultural Water Management, v. 281, 108260, 2023. |
DOI: |
https://doi.org/10.1016/j.agwat.2023.108260 |
Idioma: |
Inglês |
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 |
Palavras-Chave: |
Água certa; Google earth engine; Semiárido. |
Thesagro: |
Balanço de Energia; Evapotranspiração; Irrigação. |
Thesaurus Nal: |
Energy balance; Evapotranspiration; Remote sensing; Water rights. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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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Embrapa Semiárido (CPATSA) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Recursos Genéticos e Biotecnologia. Para informações adicionais entre em contato com cenargen.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Recursos Genéticos e Biotecnologia. |
Data corrente: |
13/04/2005 |
Data da última atualização: |
18/04/2005 |
Autoria: |
MENDES, M. A. S.; FELIX, A. A. A.; SANTOS, M. de F.; HERNÁNDEZ GUTIÉRREZ, A. (ed.). |
Título: |
Fungos quarentenários para o Brasil. |
Ano de publicação: |
2004 |
Fonte/Imprenta: |
Brasília, DF: Embrapa Recursos Genéticos e Biotecnologia, 2004. |
Páginas: |
325 p. |
ISBN: |
85-87697-31-5 |
Idioma: |
Espanhol Português |
Conteúdo: |
Capítulo 1: Quarentena Vegetal: Histórico, Conceitos e Definições. Capítulo 2: Alternaria triticina Prasada et Prabhu. Capítulo 3: Apiosporina morbosa (Schwein.) Arx.Capítulo 4: Balansia oryzae-sativae Hashioka.Capítulo 5: Cephalosporium gramineum Y. Nisik. & Ikata. Capítulo 6: Colletotrichum kahawae J.M. Waller, P. D. Bridge, R. Black & G. Hakiza. Capítulo 7: Dactuliochaeta glycines (R. B. Stewart) G. L. Hartm. et J. B. Sinclair. Capítulo 8 : Fusarium oxysporum Schltdl.: Fr. f. sp. radicis-Iycopersici W. R. Jarvis & Shoemaker. Capítulo 9: Gibberella fujikuroi (Sawada) S. Ito.Capítulo 10: Gibberella xylarioides R. Heim & Saccas.Capítulo 11: Glomerella manihotis (Sacc.) Petr. Capítulo 12: Gymnosporangium asiaticum Miyabe ex G. Yamada.Capítulo 13: Gymnosporangium c/avipes (Cooke & Peck) Cooke &Peck. Capítulo 14: Gymnosporangium juniperi-virginianae Schwabe.Capítulo 15: Gymnosporangium libocedri (Henn.) F. Kern. Capítulo 16: Gymnosporangium treme/loides (U. Braun) ex R. Hartig. Capítulo 17: Gymnosporangium yamadae Miyabe ex Yamada. Capítulo 18: Hemileia coffeicola Maubl. & Roge. Capítulo 19: Moniliophthora roreri H. C. Evans, Stalpers, Samson & Benny. Capítulo 20: Nectria galligena Bres. Capítulo 21: Oncobasidium theobromae P. H. B. Talbot et Keane. Capítulo 22: Periconia circinata (L. Mangin) Sacc. Capítulo 23: Phoma exigua Desm. var. foveata (Foister) Boerema. Capítulo 24: Phoma tracheiphila (Petri) L. A. Kantach. & Gikachvili. Capítulo 25: Phyllosticta solitaria Ellis & Everh. Capítulo 26: Phymatotrichopsis omnivora (Duggar) Hennebert. Capítulo 27: Physopella ampelopsidis (Dietel & P. Syd.) Cumm. & Ramachar. Capítulo 28: Phytophthora boehmeriae Sawada. Capítulo 29: Phytophthora erythroseptica Pethybr.Capítulo 30: Stagonospora sacchari T. C. Lo & L. Ling. Capítulo 31: Synchytrium endobioticum (Schilb.) Percival.Capítulo 32: Thecaphora solani (Thirumlachar &O'brien) Mordue. Capítulo 33: Ti/letia controversa J. G. Kühn.Capítulo 34: Ti/letia indica Mitra.Capítulo 35: Urocystis agropyri (Preuss) J. Schröt. Capítulo 36: Lista de Plantas Hospedeiras / Fungos.Capítulo 37: Lista de Plantas Hospedeiras: nomes comuns/ nomes científicos. MenosCapítulo 1: Quarentena Vegetal: Histórico, Conceitos e Definições. Capítulo 2: Alternaria triticina Prasada et Prabhu. Capítulo 3: Apiosporina morbosa (Schwein.) Arx.Capítulo 4: Balansia oryzae-sativae Hashioka.Capítulo 5: Cephalosporium gramineum Y. Nisik. & Ikata. Capítulo 6: Colletotrichum kahawae J.M. Waller, P. D. Bridge, R. Black & G. Hakiza. Capítulo 7: Dactuliochaeta glycines (R. B. Stewart) G. L. Hartm. et J. B. Sinclair. Capítulo 8 : Fusarium oxysporum Schltdl.: Fr. f. sp. radicis-Iycopersici W. R. Jarvis & Shoemaker. Capítulo 9: Gibberella fujikuroi (Sawada) S. Ito.Capítulo 10: Gibberella xylarioides R. Heim & Saccas.Capítulo 11: Glomerella manihotis (Sacc.) Petr. Capítulo 12: Gymnosporangium asiaticum Miyabe ex G. Yamada.Capítulo 13: Gymnosporangium c/avipes (Cooke & Peck) Cooke &Peck. Capítulo 14: Gymnosporangium juniperi-virginianae Schwabe.Capítulo 15: Gymnosporangium libocedri (Henn.) F. Kern. Capítulo 16: Gymnosporangium treme/loides (U. Braun) ex R. Hartig. Capítulo 17: Gymnosporangium yamadae Miyabe ex Yamada. Capítulo 18: Hemileia coffeicola Maubl. & Roge. Capítulo 19: Moniliophthora roreri H. C. Evans, Stalpers, Samson & Benny. Capítulo 20: Nectria galligena Bres. Capítulo 21: Oncobasidium theobromae P. H. B. Talbot et Keane. Capítulo 22: Periconia circinata (L. Mangin) Sacc. Capítulo 23: Phoma exigua Desm. var. foveata (Foister) Boerema. Capítulo 24: Phoma tracheiphila (Petri) L. A. Kantach. & Gikachvili. Capítulo 25: Phyllosticta solitaria Ellis ... Mostrar Tudo |
Palavras-Chave: |
Brasil; Fitopatologia; Fungos; Fungos Quarentenários; Fungos- Quarentena- Brasil. |
Thesagro: |
Fungo; Quarentena. |
Thesaurus NAL: |
Brazil; fungi. |
Categoria do assunto: |
-- F Plantas e Produtos de Origem Vegetal |
Marc: |
LEADER 02931nam a2200277 a 4500 001 1185584 005 2005-04-18 008 2004 bl uuuu 00u1 u #d 020 $a85-87697-31-5 100 1 $aMENDES, M. A. S. 245 $aFungos quarentenários para o Brasil. 260 $aBrasília, DF: Embrapa Recursos Genéticos e Biotecnologia$c2004 300 $a325 p. 520 $aCapítulo 1: Quarentena Vegetal: Histórico, Conceitos e Definições. Capítulo 2: Alternaria triticina Prasada et Prabhu. Capítulo 3: Apiosporina morbosa (Schwein.) Arx.Capítulo 4: Balansia oryzae-sativae Hashioka.Capítulo 5: Cephalosporium gramineum Y. Nisik. & Ikata. Capítulo 6: Colletotrichum kahawae J.M. Waller, P. D. Bridge, R. Black & G. Hakiza. Capítulo 7: Dactuliochaeta glycines (R. B. Stewart) G. L. Hartm. et J. B. Sinclair. Capítulo 8 : Fusarium oxysporum Schltdl.: Fr. f. sp. radicis-Iycopersici W. R. Jarvis & Shoemaker. Capítulo 9: Gibberella fujikuroi (Sawada) S. Ito.Capítulo 10: Gibberella xylarioides R. Heim & Saccas.Capítulo 11: Glomerella manihotis (Sacc.) Petr. Capítulo 12: Gymnosporangium asiaticum Miyabe ex G. Yamada.Capítulo 13: Gymnosporangium c/avipes (Cooke & Peck) Cooke &Peck. Capítulo 14: Gymnosporangium juniperi-virginianae Schwabe.Capítulo 15: Gymnosporangium libocedri (Henn.) F. Kern. Capítulo 16: Gymnosporangium treme/loides (U. Braun) ex R. Hartig. Capítulo 17: Gymnosporangium yamadae Miyabe ex Yamada. Capítulo 18: Hemileia coffeicola Maubl. & Roge. Capítulo 19: Moniliophthora roreri H. C. Evans, Stalpers, Samson & Benny. Capítulo 20: Nectria galligena Bres. Capítulo 21: Oncobasidium theobromae P. H. B. Talbot et Keane. Capítulo 22: Periconia circinata (L. Mangin) Sacc. Capítulo 23: Phoma exigua Desm. var. foveata (Foister) Boerema. Capítulo 24: Phoma tracheiphila (Petri) L. A. Kantach. & Gikachvili. Capítulo 25: Phyllosticta solitaria Ellis & Everh. Capítulo 26: Phymatotrichopsis omnivora (Duggar) Hennebert. Capítulo 27: Physopella ampelopsidis (Dietel & P. Syd.) Cumm. & Ramachar. Capítulo 28: Phytophthora boehmeriae Sawada. Capítulo 29: Phytophthora erythroseptica Pethybr.Capítulo 30: Stagonospora sacchari T. C. Lo & L. Ling. Capítulo 31: Synchytrium endobioticum (Schilb.) Percival.Capítulo 32: Thecaphora solani (Thirumlachar &O'brien) Mordue. Capítulo 33: Ti/letia controversa J. G. Kühn.Capítulo 34: Ti/letia indica Mitra.Capítulo 35: Urocystis agropyri (Preuss) J. Schröt. Capítulo 36: Lista de Plantas Hospedeiras / Fungos.Capítulo 37: Lista de Plantas Hospedeiras: nomes comuns/ nomes científicos. 650 $aBrazil 650 $afungi 650 $aFungo 650 $aQuarentena 653 $aBrasil 653 $aFitopatologia 653 $aFungos 653 $aFungos Quarentenários 653 $aFungos- Quarentena- Brasil 700 1 $aFELIX, A. A. A. 700 1 $aSANTOS, M. de F. 700 1 $aHERNÁNDEZ GUTIÉRREZ, A.
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