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| Registros recuperados : 181 | |
| 141. |  | LEIVAS, J. F.; TEIXEIRA, A. H. de C.; ANDRADE, R. G.; TORRESAN, F. E.; FIGUEIREDO, R. de O.; ZUCCARI, M. L. Evapotranspiração da Bacia do Camanducaia-Jaguari Obtida Através do Modelo Agrometeorológico- Espectral SAFER In: SEMINÁRIO DA REDE AGROHIDRO, 3.; WORKSHOP DO PROJETO OS IMPACTOS DA AGRICULTURA E DAS MUDANÇAS CLIMÁTICAS NOS RECURSOS HÍDRICOS, 1., 2015, Corumbá. Água na agricultura: desafios frente às mudanças climáticas e de uso da terra: resumos. Brasília, DF: Embrapa, 2015. p. 43.| Biblioteca(s): Embrapa Meio Ambiente; Embrapa Territorial. |
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| 142. | | ANDRADE, R. G.; TEIXEIRA, A. H. de C.; SANO, E. E.; LEIVAS, J. F.; VICTORIA, D. de C.; NOGUEIRA, S. F. Evapotranspiração em pastagens com indicativos de degradação na bacia hidrográfica do alto Tocantins. In: INOVAGRI INTERNATIONAL MEETING, 2., 2014, Fortaleza. Anais... Fortaleza: INOVAGRI, 2014. p. 3052-3059.| Biblioteca(s): Embrapa Territorial. |
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| 143. | | ANDRADE, R. G.; LEIVAS, J. F.; ALVAREZ, I. A.; VICENTE, L. E.; NOGUEIRA, S. F.; HOTT, M. C.; TAKEMURA, C. M.; LOEBMANN, D. G. dos S. W. Evapotranspiration estimation in pastures at the municipality of Campo Grande, Brazil, using SEBAL and remote sensing data. In: AGU FALL MEETING, 2011, San Francisco. Anais... San Francisco: AGU, 2011.| Biblioteca(s): Embrapa Territorial. |
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| 144. | | ANDRADE, R. G.; LEIVAS, J. F.; ALVAREZ, I. A.; VICENTE, L. E.; NOGUEIRA, S. F.; HOTT, M. C.; TAKEMURA, C. M.; LOEBMANN, D. G. dos S. W. Evapotranspiration estimation in pastures at the municipality of Campo Grande, Brazil, using SEBAL and remote sensing data. In: AGU FALL MEETING, 2011, San Francisco. Anais... San Francisco: AGU, 2011.| Biblioteca(s): Embrapa Gado de Leite. |
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| 145. | | SILVA, G. B. S. da; TEIXEIRA, A. H. de C.; VICTORIA, D. de C.; NOGUEIRA, S. F.; LEIVAS, J. F.; COAGUILA, D. N.; HERLIN, V. R. Energy balance model applied to pasture experimental areas in São Paulo State, Brazil. Proceedings of SPIE, v. 9998, p. 99981C-1-99981C-10, 2016.| Biblioteca(s): Embrapa Territorial. |
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| 146. | | SILVA, G. B. S. da; TEIXEIRA, A. H. de C.; VICTORIA, D. de C.; NOGUEIRA, S. F.; LEIVAS, J. F.; COAGUILA, D. N.; HERLIN, V. R. Energy balance model applied to pasture experimental areas in São Paulo State, Brazil. In: REMOTE SENSING FOR AGRICULTURE, ECOSYSTEMS, AND HYDROLOGY, 18., 2016, Edinburg. Proceedings... Bellingham: SPIE, 2016. p. 99981C-1-99981C-10. (SPIE proceedings, v. 9998).| Biblioteca(s): Embrapa Agricultura Digital. |
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| 147. | | ANDRADE, R. G.; LIMA, E. de P.; TEIXEIRA, A. H. de C.; LEIVAS, J. F.; VICTORIA, D. de C.; FACCO, A. G. Mapeamento espaço-temporal da evapotranspiração na bacia do rio Paracatu utilizando imagens MODIS e o algoritmo SAFER. Brazilian Journal of Animal and Environmental Research, v. 3, n. 3, p. 1729-1739, jul./set. 2020.| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Gado de Leite; Embrapa Solos. |
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| 148. | | TEIXEIRA, A. H. de C.; SIMÃO, F. R.; LEIVAS, J. F.; GOMIDE, R. L.; REIS, J. B. R. da S.; GREGO, C. R. Modelagem da produtividade da água por sensoriamento remoto no norte de Minas Gerais. In: SIMPÓSIO BRASILEIRO DE RECURSOS HÍDRICOS, 22., 2017, Florianópolis. Anais... Porto Alegre: Associação Brasileira de Recursos Hídricos, 2017.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 149. | | TEIXEIRA, A. H. DE C.; LEIVAS, J. F.; GARCON, E. A. M.; TAKEMURA, C. M.; QUARTAROLI, C. F.; ALVAREZ, I. A. Modeling large-scale biometeorological indices to monitor agricultural-growing areas: applications in the fruit circuit region, São Paulo, Brazil. International Journal of Biometeorology, v. 64, n. 8, 2020.| Biblioteca(s): Embrapa Territorial. |
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| 150. | | LEIVAS, J. F.; TEIXEIRA, A. H. de C.; RODRIGUES, C. A. G.; SILVA, G. B. S. da; GARCON, E. A. M. Monitoramento da evapotranspiração em áreas de heveicultura usando de imagens de satélite. In: CONGRESSO BRASILEIRO DE AGROMETEOROLOGIA, 20., SIMPÓSIO DE MUDANÇAS CLIMÁTICAS E DESERTIFICAÇÃO NO SEMIÁRIDO BRASILEIRO, 5., 2017, Juazeiro. Anais... Juazeiro: CBAgro, 2017. 5 p.| Biblioteca(s): Embrapa Territorial. |
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| 152. | | LEIVAS, J. F.; ANDRADE, R. G.; TEIXEIRA, A. H. de C.; VICTORIA, D. de C.; TORRESAN, F. E.; BOLFE, E. L. Índice de umidade na região nordeste do Brasil. In: SIMPÓSIO REGIONAL DE GEOPROCESSAMENTO E SENSORIAMENTO REMOTO, 7., 2014, Aracaju. Geotecnologias: inovações e desenvolvimento: anais. Aracaju: UFS, 2014. p. 435-438.| Biblioteca(s): Embrapa Territorial. |
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| 153. | | SILVA, G. B. S. da; TEIXEIRA, A. H. de C.; NOGUEIRA, S. F.; VICTORIA, D. de C.; LEIVAS, J. F.; HERLIN, V. R. Landsat-based above ground biomass estimation in pasture area in São Paulo, Brazil. In: INTERNATIONAL SYMPOSIUM ON GREENHOUSE GASES IN AGRICULTURE, 2., 2016, Campo Grande, MS. Proceedings... Brasília, DF: Embrapa, 2016. p. 140-144. (Embrapa Gado de Corte. Documentos, 216). Coordenador: Roberto Giolo de Almeida. II SIGEE.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 154. | | SILVA, G. B. S. da; TEIXEIRA, A. H. de C.; NOGUEIRA, S. F.; VICTORIA, D. de C.; LEIVAS, J. F.; HERLIN, V. R. Landsat-based above ground biomass estimation in pasture area in São Paulo, Brazil. In: INTERNATIONAL SYMPOSIUM ON GREENHOUSE GASES IN AGRICULTURE, 2., 2016, Campo Grande, MS. Proceedings... Brasília, DF: Embrapa, 2016. p. 140-144.| Biblioteca(s): Embrapa Territorial. |
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| 156. | | ANDRADE, R. G.; TEIXEIRA, A. H. de C.; LEIVAS, J. F.; NOGUEIRA, S. F.; SILVA, G. B. S. da; VICTORIA, D. de C.; FACCO, A. G. Estimativa da evapotranspiração e da biomassa de pastagens utilizando o algoritmo SAFER e imagens MODIS. In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 17., 2015, João Pessoa. Anais... São José dos Campos: INPE, 2015. P. 3664-3670.| Biblioteca(s): Embrapa Territorial. |
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| 157. | | TEIXEIRA, A. H. de C.; VICTORIA, D. de C.; ANDRADE, R. G.; LEIVAS, J. F.; BOLFE, E. L.; CRUZ, C. R. Coupling MODIS images and agrometeorological data for agricultural water productivity analyses in the Mato Grosso State, Brazil. Remote Sensing for Agriculture, Ecosystems, and Hydrology, v. 9239, p. 92390W-1-92390W-4,2014. Presented at the 16th Remote Sensing for Agriculture, Ecosystems, and Hydrology.| Biblioteca(s): Embrapa Territorial. |
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| 158. | | TEIXEIRA, A. H. de C.; HERNANDEZ, F. B. T.; ANDRADE, R. G.; LEIVAS, J. F.; VICTORIA, D. de C.; BOLFE, E. L. Corn water variables assessments from earth observation data in the São Paulo State, Southeast Brazil. Journal of Hydraulic Engineering, v. 1, p. 1-11, 2015.| Biblioteca(s): Embrapa Territorial. |
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| 159. | | TEIXEIRA, A. H. DE C.; SOUZA, I. F. DE; LEIVAS, J. F.; TAKEMURA, C. M.; GARCON, E. A. M.; FARIAS, F. DE J. Detecção remota de anomalias nas condições de umidade do solo nos biomas do SEALBA. In: SIMPÓSIO DE RECURSOS HÍDRICOS DO NORDESTE, 25., 2023, Aracajú. Anais... Aracajú: Associação Brasileira de Recursos Hídricos, 2023. 10 p.| Biblioteca(s): Embrapa Territorial. |
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| 160. | | LEIVAS, J. F.; TEIXEIRA, A. H. de C.; ANDRADE, R. G.; SILVA, G. B. S. da; NOGUEIRA, S. F.; ARAUJO, L. S. de. Aplicação do modelo agrometeológico espectral SAFER e imagens Rapid Eye na FLONA Tapajós. In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 17., 2015, João Pessoa. Anais... São José dos Campos: INPE, 2015. p. 2552-2558.| Biblioteca(s): Embrapa Territorial. |
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| Registros recuperados : 181 | |
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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. |
Registro Completo
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Biblioteca(s): |
Embrapa Territorial. |
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Data corrente: |
17/08/2020 |
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Data da última atualização: |
30/05/2022 |
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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: |
TEIXEIRA, A. H. DE C.; LEIVAS, J. F.; GARCON, E. A. M.; TAKEMURA, C. M.; QUARTAROLI, C. F.; ALVAREZ, I. A. |
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Afiliação: |
ANTÔNIO HERIBERTO DE CASTRO TEIXEIRA, UNIVERSIDADE FEDERAL DO SERGIPE; JANICE FREITAS LEIVAS, CNPM; EDLENE APARECIDA MONTEIRO GARCON, CNPM; CELINA MAKI TAKEMURA, CNPM; CARLOS FERNANDO QUARTAROLI, CNPM; IVAN ANDRE ALVAREZ, CNPM. |
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Título: |
Modeling large-scale biometeorological indices to monitor agricultural-growing areas: applications in the fruit circuit region, São Paulo, Brazil. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
International Journal of Biometeorology, v. 64, n. 8, 2020. |
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ISBN: |
0020-7128 |
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DOI: |
10.1007/s00484-020-01996-9 |
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Idioma: |
Português |
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Conteúdo: |
This paper aimed to support the rational crop expansion in agricultural-growing regions. MODIS satellite images are used together with gridded weather data to model biometeorological parameters at the Fruit Circuit region, state of São Paulo, Southeast Brazil. This region has experienced some cases of drought, while arising rainfall water excess in some periods, demanding large-scale water and energy balance studies to subsidize water resource policies. The SAFER (Simple Algorithm for Evapotranspiration Retrieving) algorithm was applied together with the radiation-use efficiency (RUE) model for biometeorological index assessments. The highest latent heat fluxes (λE), above 8.0 MJ m−2 d−1 , at the end of the year, coincide with the progressive increases on both rainfall and global solar radiation (RG) levels, and drop to below 5.0 MJ m−2 d−1 in the middle of the year, during the driest conditions. The same tendencies along the year are verified for sensible heat fluxes (H), for which mean pixel values are above 3.5 MJ m−2 d−1 at the end of the year. On the one hand, the highest values for water productivity (WP), which is considered the ratio of actual evapotranspiration (ET) to biomass production (BIO), above 4.0 kg m−3 , are verified in April, period under increasing BIO and low ET rates. On the other hand, the lowest WP values (below 2.0 kg m−3) occur between August and October, when BIO is low, and ET is high. Although the area featuring good WP levels under high precipitation (P), with rainfalls generally above ET, supplementary irrigation may benefit agriculture in some periods of the year. The results of the large-scale modeling showed applicability of the models for monitoring water and vegetation dynamics over 16-day timescale and at a 250-m spatial resolution in areas experiencing climate and land-use changes by combining climate data and MODIS images. Application of these tools enables to indicate the best options for expanding the agriculture activities, being of great potential for rational natural resources management, in regions under environmental vulnerability conditions. MenosThis paper aimed to support the rational crop expansion in agricultural-growing regions. MODIS satellite images are used together with gridded weather data to model biometeorological parameters at the Fruit Circuit region, state of São Paulo, Southeast Brazil. This region has experienced some cases of drought, while arising rainfall water excess in some periods, demanding large-scale water and energy balance studies to subsidize water resource policies. The SAFER (Simple Algorithm for Evapotranspiration Retrieving) algorithm was applied together with the radiation-use efficiency (RUE) model for biometeorological index assessments. The highest latent heat fluxes (λE), above 8.0 MJ m−2 d−1 , at the end of the year, coincide with the progressive increases on both rainfall and global solar radiation (RG) levels, and drop to below 5.0 MJ m−2 d−1 in the middle of the year, during the driest conditions. The same tendencies along the year are verified for sensible heat fluxes (H), for which mean pixel values are above 3.5 MJ m−2 d−1 at the end of the year. On the one hand, the highest values for water productivity (WP), which is considered the ratio of actual evapotranspiration (ET) to biomass production (BIO), above 4.0 kg m−3 , are verified in April, period under increasing BIO and low ET rates. On the other hand, the lowest WP values (below 2.0 kg m−3) occur between August and October, when BIO is low, and ET is high. Although ... Mostrar Tudo |
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Palavras-Chave: |
Energy partition; Water productivity. |
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Thesaurus NAL: |
Biomass production; Geographic information systems; Remote sensing. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 03054naa a2200265 a 4500
001 2124372
005 2022-05-30
008 2020 bl uuuu u00u1 u #d
022 $a0020-7128
024 7 $a10.1007/s00484-020-01996-9$2DOI
100 1 $aTEIXEIRA, A. H. DE C.
245 $aModeling large-scale biometeorological indices to monitor agricultural-growing areas$bapplications in the fruit circuit region, São Paulo, Brazil.$h[electronic resource]
260 $c2020
520 $aThis paper aimed to support the rational crop expansion in agricultural-growing regions. MODIS satellite images are used together with gridded weather data to model biometeorological parameters at the Fruit Circuit region, state of São Paulo, Southeast Brazil. This region has experienced some cases of drought, while arising rainfall water excess in some periods, demanding large-scale water and energy balance studies to subsidize water resource policies. The SAFER (Simple Algorithm for Evapotranspiration Retrieving) algorithm was applied together with the radiation-use efficiency (RUE) model for biometeorological index assessments. The highest latent heat fluxes (λE), above 8.0 MJ m−2 d−1 , at the end of the year, coincide with the progressive increases on both rainfall and global solar radiation (RG) levels, and drop to below 5.0 MJ m−2 d−1 in the middle of the year, during the driest conditions. The same tendencies along the year are verified for sensible heat fluxes (H), for which mean pixel values are above 3.5 MJ m−2 d−1 at the end of the year. On the one hand, the highest values for water productivity (WP), which is considered the ratio of actual evapotranspiration (ET) to biomass production (BIO), above 4.0 kg m−3 , are verified in April, period under increasing BIO and low ET rates. On the other hand, the lowest WP values (below 2.0 kg m−3) occur between August and October, when BIO is low, and ET is high. Although the area featuring good WP levels under high precipitation (P), with rainfalls generally above ET, supplementary irrigation may benefit agriculture in some periods of the year. The results of the large-scale modeling showed applicability of the models for monitoring water and vegetation dynamics over 16-day timescale and at a 250-m spatial resolution in areas experiencing climate and land-use changes by combining climate data and MODIS images. Application of these tools enables to indicate the best options for expanding the agriculture activities, being of great potential for rational natural resources management, in regions under environmental vulnerability conditions.
650 $aBiomass production
650 $aGeographic information systems
650 $aRemote sensing
653 $aEnergy partition
653 $aWater productivity
700 1 $aLEIVAS, J. F.
700 1 $aGARCON, E. A. M.
700 1 $aTAKEMURA, C. M.
700 1 $aQUARTAROLI, C. F.
700 1 $aALVAREZ, I. A.
773 $tInternational Journal of Biometeorology$gv. 64, n. 8, 2020.
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