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82. | | TEIXEIRA, A. H. de C.; TONIETTO, J.; PEREIRA, G. E.; TANGERINO, F. B. T.; ANGELOTTI, F. Climatic aptitude for irrigated wine grapes in the Brazilian Northeast under different prunning dates and time scenarios. Part A: baseline conditions. In: INTERNATIONAL SYMPOSIUM ON TROPICAL WINE, 3., 2011, Chiang Mai, Thailand. Proceedings... Chiang Mai: Rajamangala University of Technology Lanna Doi Saket, 2011. p. 4. Biblioteca(s): Embrapa Semiárido; Embrapa Uva e Vinho. |
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83. | | TEIXEIRA, A. H. de C.; TONIETTO, J.; PEREIRA, G. E.; TANGERINO, F. B. T.; ANGELOTTI, F. Climatic aptitude for irrigated wine grapes in the Brazilian Northeast under different prunning dates and time scenarios. Part B: future projections. In: INTERNATIONAL SYMPOSIUM ON TROPICAL WINE, 3., 2011, Chiang Mai, Thailand. Proceedings... Chiang Mai: Rajamangala University of Technology Lanna Doi Saket, 2011. p. 5. Biblioteca(s): Embrapa Semiárido; Embrapa Uva e Vinho. |
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87. | | BORGES, A. L.; COELHO, E. F.; COSTA, E. L. da; TEIXEIRA, A. H. de C. Irrigação e fertirrigação na cultura da banana. In: SOUSA, V. F. de; MAROUELLI, W. A.; COELHO, E. F.; PINTO, J. M.; COELHO FILHO, M. A. (Ed.). Irrigação e fertirrigação em fruteiras e hortaliças. Brasília, DF: Embrapa Informação Tecnológica, 2011. cap. 12, p. 369-397. Biblioteca(s): Embrapa Mandioca e Fruticultura; Embrapa Semiárido. |
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89. | | LEIVAS, J. F.; TEIXEIRA, A. H. de C.; ANDRADE, R. G. Agrometeorologia. In: TÔSTO, S. G.; RODRIGUES, C. A. G.; BOLFE, E. L.; BATISTELLA, M. (Ed.). Geotecnologias e geoinformação. Brasília, DF: Embrapa, 2014. p. 107-118. (Coleção 500 Perguntas, 500 Respostas). Biblioteca(s): Embrapa Territorial. |
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96. | | 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. Biblioteca(s): Embrapa Territorial. |
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Registros recuperados : 375 | |
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Registro Completo
Biblioteca(s): |
Embrapa Territorial. |
Data corrente: |
06/02/2017 |
Data da última atualização: |
03/05/2019 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
SILVA, G. B. S. da; TEIXEIRA, A. H. de C.; NOGUEIRA, S. F.; VICTORIA, D. de C.; LEIVAS, J. F.; HERLIN, V. R. |
Afiliação: |
GUSTAVO BAYMA SIQUEIRA DA SILVA, CNPM; ANTONIO HERIBERTO DE C TEIXEIRA, CNPM; SANDRA FURLAN NOGUEIRA, CNPM; DANIEL DE CASTRO VICTORIA, CNPTIA; JANICE FREITAS LEIVAS, CNPM; Valdo R. Herlin, Universidade de São Paulo. |
Título: |
Landsat-based above ground biomass estimation in pasture area in São Paulo, Brazil. |
Ano de publicação: |
2016 |
Fonte/Imprenta: |
In: INTERNATIONAL SYMPOSIUM ON GREENHOUSE GASES IN AGRICULTURE, 2., 2016, Campo Grande, MS. Proceedings... Brasília, DF: Embrapa, 2016. |
Páginas: |
p. 140-144. |
Idioma: |
Inglês |
Conteúdo: |
Brazilian Cerrado biome occupies 2,039,243 km², of which 29.5% (600,832 km2) is planted pasture area (MMA, 2015). A considerable portion of these pastures are considered degraded, thus identification and recovery of such areas could result in production gains. In the remote sensing (RS) context, pasturelands have been investigated in order to discriminate intensive and extensive grazing system areas. Intensive systems includes soil and animal management, with pasture fertilization and animal rotation in different paddocks. Extensive grazing systems do not have this management. As RS medium spatial resolution data and field measurements on biomass estimates have strong positive correlation (EDIRISINGHE et al., 2012) future researches points to assess the feasibility on grazing systems discrimination through temporal analysis. Thus, the objective of this work was to assess the Surface Algorithm for Evapotranspiration Retrieving (SAFER) potential, applied in with OLI/Landsat-8 images, to discriminate intensive and extensive grazing system areas through estimates of above ground biomass. |
Palavras-Chave: |
SAFER. |
Thesagro: |
Biomassa; Pastagem; Sensoriamento remoto. |
Thesaurus NAL: |
Aboveground biomass; Landsat. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/154778/1/Bayma-Teixeira-Nogueira-Victoria-Leivas-SIGEE2016-p140a144.pdf
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Marc: |
LEADER 01913nam a2200253 a 4500 001 2062788 005 2019-05-03 008 2016 bl uuuu u00u1 u #d 100 1 $aSILVA, G. B. S. da 245 $aLandsat-based above ground biomass estimation in pasture area in São Paulo, Brazil.$h[electronic resource] 260 $aIn: INTERNATIONAL SYMPOSIUM ON GREENHOUSE GASES IN AGRICULTURE, 2., 2016, Campo Grande, MS. Proceedings... Brasília, DF: Embrapa$c2016 300 $ap. 140-144. 520 $aBrazilian Cerrado biome occupies 2,039,243 km², of which 29.5% (600,832 km2) is planted pasture area (MMA, 2015). A considerable portion of these pastures are considered degraded, thus identification and recovery of such areas could result in production gains. In the remote sensing (RS) context, pasturelands have been investigated in order to discriminate intensive and extensive grazing system areas. Intensive systems includes soil and animal management, with pasture fertilization and animal rotation in different paddocks. Extensive grazing systems do not have this management. As RS medium spatial resolution data and field measurements on biomass estimates have strong positive correlation (EDIRISINGHE et al., 2012) future researches points to assess the feasibility on grazing systems discrimination through temporal analysis. Thus, the objective of this work was to assess the Surface Algorithm for Evapotranspiration Retrieving (SAFER) potential, applied in with OLI/Landsat-8 images, to discriminate intensive and extensive grazing system areas through estimates of above ground biomass. 650 $aAboveground biomass 650 $aLandsat 650 $aBiomassa 650 $aPastagem 650 $aSensoriamento remoto 653 $aSAFER 700 1 $aTEIXEIRA, A. H. de C. 700 1 $aNOGUEIRA, S. F. 700 1 $aVICTORIA, D. de C. 700 1 $aLEIVAS, J. F. 700 1 $aHERLIN, V. R.
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