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Registro Completo |
Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
24/01/2017 |
Data da última atualização: |
21/01/2020 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
ANDRADE, R. G.; VICTORIA, D. de C.; NOGUEIRA, S. F.; GREGO, C. R.; BETTIOL, G. M.; OLIVEIRA, P. P. A. |
Afiliação: |
RICARDO GUIMARÃES ANDRADE, CNPGL; DANIEL DE CASTRO VICTORIA, CNPTIA; SANDRA FURLAN NOGUEIRA, CNPM; CÉLIA REGINA GREGO, CNPM; GIOVANA MARANHÃO BETTIOL, CPAC; PATRICIA PERONDI ANCHÃO OLIVEIRA, CPPSE. |
Título: |
Estimation biomass of pasture areas using WorldView-2 data. |
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. 177-181. |
Série: |
(Embrapa Gado de Corte. Documentos, 216). |
ISSN: |
1983-974X |
Idioma: |
Inglês |
Notas: |
Coordenador: Roberto Giolo de Almeida. II SIGEE. |
Conteúdo: |
The sustainable use of pastures is of fundamental importance, given that a considerable part of the Brazilian pastures may be in process of degradation or degraded (Andrade et al., 2016). In general, the use of pastures is characterized by extractivism, with few producers who invest in the recovery of the productive potential of pastures and adopting less impactful technologies to the environment. Thus, the intensification of pastoral production systems can be adopted as a viable option to minimize the pressure on opening new areas of agricultural production and reduce the emission of gases causing the greenhouse effect (Barcellos et al., 2008). However, identify areas of pasture that have low production potential can be one of the challenges for large-scale implementation of efficient government policies with the adoption of strategic mitigation measures. In this context, remote sensing data can assist with relevant information for decision making in various scales of time and space. Given the above, aimed to apply data from WorldView-2 sensor and meteorological data to estimate the biomass of pasture areas. |
Palavras-Chave: |
Pasture. |
Thesagro: |
Biomassa; Sensoriamento remoto. |
Thesaurus Nal: |
Biomass; Remote sensing. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
Marc: |
LEADER 02028nam a2200277 a 4500 001 2061549 005 2020-01-21 008 2016 bl uuuu u01u1 u #d 022 $a1983-974X 100 1 $aANDRADE, R. G. 245 $aEstimation biomass of pasture areas using WorldView-2 data.$h[electronic resource] 260 $aIn: INTERNATIONAL SYMPOSIUM ON GREENHOUSE GASES IN AGRICULTURE, 2., 2016, Campo Grande, MS. Proceedings... Brasília, DF: Embrapa$c2016 300 $ap. 177-181. 490 $a(Embrapa Gado de Corte. Documentos, 216). 500 $aCoordenador: Roberto Giolo de Almeida. II SIGEE. 520 $aThe sustainable use of pastures is of fundamental importance, given that a considerable part of the Brazilian pastures may be in process of degradation or degraded (Andrade et al., 2016). In general, the use of pastures is characterized by extractivism, with few producers who invest in the recovery of the productive potential of pastures and adopting less impactful technologies to the environment. Thus, the intensification of pastoral production systems can be adopted as a viable option to minimize the pressure on opening new areas of agricultural production and reduce the emission of gases causing the greenhouse effect (Barcellos et al., 2008). However, identify areas of pasture that have low production potential can be one of the challenges for large-scale implementation of efficient government policies with the adoption of strategic mitigation measures. In this context, remote sensing data can assist with relevant information for decision making in various scales of time and space. Given the above, aimed to apply data from WorldView-2 sensor and meteorological data to estimate the biomass of pasture areas. 650 $aBiomass 650 $aRemote sensing 650 $aBiomassa 650 $aSensoriamento remoto 653 $aPasture 700 1 $aVICTORIA, D. de C. 700 1 $aNOGUEIRA, S. F. 700 1 $aGREGO, C. R. 700 1 $aBETTIOL, G. M. 700 1 $aOLIVEIRA, P. P. A.
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Embrapa Agricultura Digital (CNPTIA) |
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Registros recuperados : 6 | |
2. | | HOEKENGA, O. A.; BUCKLER, E.; MARON, L.; MAGALHAES, J. V. de; KIRST, M.; KRILL, A.; LYI, S. M.; ROSE, J.; THANNHAUSER, T.; KOCHIAN, L. Joint linkage-association analysis of aluminum tolerance in maize. In: INTERNATIONAL PLANT & ANIMAL GENOMES CONFERENCE, 15., 2007, San Diego, CA. [Proceedings...]. [S. l.: s.n.], 2007.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Milho e Sorgo. |
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3. | | HOEKENGA, O. A.; BUCKLER, E. S.; KIRST, M.; KRILL, A. M.; LYI, S. M.; MAGALHAES, J. V. de; MARON, L. G.; KOCHIAN, L. V. Joint linkage-association analysis of aluminum tolerance in maize. In: INTERNATIONAL SYMPOSIUM ON PLANT-SOIL INTERACTIONS AT LOW pH, 7., 2009, Guangzhou. Plant-soil interactions at low pH: nutriomic approach: proceedings. Guangzhou: South China University of Technology, 2009. p. 136-137.Tipo: Artigo em Anais de Congresso / Nota Técnica |
Biblioteca(s): Embrapa Milho e Sorgo. |
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4. | | KOCHIAN, L. V.; PENCE, N. S.; LETHAM, D. L. D.; PINEROS, M. A.; MAGALHAES, J. V.; HOEKENGA, O. A.; GARVIN, D. F. Mechanisms of metal resistance in plants: aluminum and heavy metals. Plant and Soil, The Hague, v. 247, n.1 , p. 109-119, 2002.Tipo: Artigo em Periódico Indexado |
Biblioteca(s): Embrapa Milho e Sorgo. |
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5. | | MAGALHAES, J. V. de; WANG, Y.; KLEIN, P. E.; GUIMARAES, C. T.; LANA, U. G. de P.; SCHAFFERT, R. E.; ALVES, V. M. C.; HOEKENGA, O. A.; CARNEIRO, N. P.; CARNEIRO, A. A.; KOCHIAN, L. V. Clonagem do principal gene de tolerância ao alumínio em sorgo e sua exploração no aumento da produção de grãos em solos ácidos. In: SIMPÓSIO SOBRE INOVAÇÃO E CRIATIVIDADE CIENTÍFICA NA EMBRAPA, 1., 2008, Brasília, DF. Resumos... Brasília, DF: Embrapa, 2008.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Milho e Sorgo. |
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6. | | MAGALHAES, J. V. de; LIU, J.; GUIMARAES, C. T.; LANA, U. G. de P.; ALVES, V. M. C.; WANG, Y-H.; SCHAFFERT, R. E.; HOEKENGA, O. A.; PINEROS, M. A.; SHAFF, J. E.; KLEIN, P. E.; CARNEIRO, N. P.; COELHO, C. M.; TRICK, H. N.; KOCHIAN, L. V. A gene in the multidrug and toxic compound extrusion (MATE) family confers aluminum tolerance in sorghum. Nature Genetics, New York, v. 39, n. 9, p. 1156-1161, 2007.Tipo: Artigo em Periódico Indexado | Circulação/Nível: Internacional - A |
Biblioteca(s): Embrapa Milho e Sorgo. |
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