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Registro Completo |
Biblioteca(s): |
Embrapa Territorial. |
Data corrente: |
17/01/2017 |
Data da última atualização: |
30/05/2017 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
AGUIAR, D. A.; MELLO, M. P.; NOGUEIRA, S. F.; GONÇALVES, F. G.; ADAMI, M.; RUDORFF, B. F. T. |
Afiliação: |
Daniel Alves Aguiar, Agrosatélite Geotecnologia Aplicada; Marcio Pupin Mello, Boeing Research & Technology; SANDRA FURLAN NOGUEIRA, CNPM; Fabio Guimarães Gonçalves, Canopy Remote Sensing Solutions; Marcos Adami, Instituto Nacional de Pesquisas Espaciais; Bernardo Friedrich Theodor Rudorff, Agrosatélite Geotecnologia Aplicada. |
Título: |
MODIS Time Series to Detect Anthropogenic Interventions and Degradation Processes in Tropical Pasture. |
Ano de publicação: |
2017 |
Fonte/Imprenta: |
Remote Sensing, v. 9, n. 73, 2017. |
Idioma: |
Inglês |
Conteúdo: |
The unavoidable diet change in emerging countries, projected for the coming years, will significantly increase the global consumption of animal protein. It is expected that Brazilian livestock production, responsible for close to 15% of global production, be prepared to answer to the increasing demand of beef. Consequently, the evaluation of pasture quality at regional scale is important to inform public policies towards a rational land use strategy directed to improve livestock productivity in the country. Our hypothesis is that MODIS images can be used to evaluate the processes of degradation, restoration and renovation of tropical pastures. To test this hypothesis, two field campaigns were performed covering a route of approximately 40,000 km through nine Brazilian states. To characterize the sampled pastures, biophysical parameters were measured and observations about the pastures, the adopted management and the landscape were collected. Each sampled pasture was evaluated using a time series of MODIS EVI2 images from 2000?2012, according to a new protocol based on seven phenological metrics, 14 Boolean criteria and two numerical criteria. The theoretical basis of this protocol was derived from interviews with producers and livestock experts during a third field campaign. The analysis of the MODIS EVI2 time series provided valuable historical information on the type of intervention and on the biological degradation process of the sampled pastures. Of the 782 pastures sampled, 26.6% experienced some type of intervention, 19.1% were under biological degradation, and 54.3% presented neither intervention nor trend of biomass decrease during the period analyzed. MenosThe unavoidable diet change in emerging countries, projected for the coming years, will significantly increase the global consumption of animal protein. It is expected that Brazilian livestock production, responsible for close to 15% of global production, be prepared to answer to the increasing demand of beef. Consequently, the evaluation of pasture quality at regional scale is important to inform public policies towards a rational land use strategy directed to improve livestock productivity in the country. Our hypothesis is that MODIS images can be used to evaluate the processes of degradation, restoration and renovation of tropical pastures. To test this hypothesis, two field campaigns were performed covering a route of approximately 40,000 km through nine Brazilian states. To characterize the sampled pastures, biophysical parameters were measured and observations about the pastures, the adopted management and the landscape were collected. Each sampled pasture was evaluated using a time series of MODIS EVI2 images from 2000?2012, according to a new protocol based on seven phenological metrics, 14 Boolean criteria and two numerical criteria. The theoretical basis of this protocol was derived from interviews with producers and livestock experts during a third field campaign. The analysis of the MODIS EVI2 time series provided valuable historical information on the type of intervention and on the biological degradation process of the sampled pastures. Of the 782 pastures samp... Mostrar Tudo |
Palavras-Chave: |
Biological degradation; Biophysical parameters; Degradação biológica; EVI2 time series; Métricas fenológicas; Parâmetros biofísicos; Pasture reformation; Phenological metrics; Recuperação de pastagem; Reforma de pastagens; Renovação de pastagens. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/153413/1/remotesensing-09-00073.pdf
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Marc: |
LEADER 02649naa a2200313 a 4500 001 2060956 005 2017-05-30 008 2017 bl uuuu u00u1 u #d 100 1 $aAGUIAR, D. A. 245 $aMODIS Time Series to Detect Anthropogenic Interventions and Degradation Processes in Tropical Pasture.$h[electronic resource] 260 $c2017 520 $aThe unavoidable diet change in emerging countries, projected for the coming years, will significantly increase the global consumption of animal protein. It is expected that Brazilian livestock production, responsible for close to 15% of global production, be prepared to answer to the increasing demand of beef. Consequently, the evaluation of pasture quality at regional scale is important to inform public policies towards a rational land use strategy directed to improve livestock productivity in the country. Our hypothesis is that MODIS images can be used to evaluate the processes of degradation, restoration and renovation of tropical pastures. To test this hypothesis, two field campaigns were performed covering a route of approximately 40,000 km through nine Brazilian states. To characterize the sampled pastures, biophysical parameters were measured and observations about the pastures, the adopted management and the landscape were collected. Each sampled pasture was evaluated using a time series of MODIS EVI2 images from 2000?2012, according to a new protocol based on seven phenological metrics, 14 Boolean criteria and two numerical criteria. The theoretical basis of this protocol was derived from interviews with producers and livestock experts during a third field campaign. The analysis of the MODIS EVI2 time series provided valuable historical information on the type of intervention and on the biological degradation process of the sampled pastures. Of the 782 pastures sampled, 26.6% experienced some type of intervention, 19.1% were under biological degradation, and 54.3% presented neither intervention nor trend of biomass decrease during the period analyzed. 653 $aBiological degradation 653 $aBiophysical parameters 653 $aDegradação biológica 653 $aEVI2 time series 653 $aMétricas fenológicas 653 $aParâmetros biofísicos 653 $aPasture reformation 653 $aPhenological metrics 653 $aRecuperação de pastagem 653 $aReforma de pastagens 653 $aRenovação de pastagens 700 1 $aMELLO, M. P. 700 1 $aNOGUEIRA, S. F. 700 1 $aGONÇALVES, F. G. 700 1 $aADAMI, M. 700 1 $aRUDORFF, B. F. T. 773 $tRemote Sensing$gv. 9, n. 73, 2017.
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Embrapa Territorial (CNPM) |
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Registros recuperados : 59 | |
5. | | SANO, E. E.; GIAROLLA, A.; ADAMI, M.; JACKSON, T. J. Calibração da estimativa superficial de solos do Cerrado. In: ANDRADE, S. R. M. de; FALEIRO, F. G.; SERENO, J. R.; DALLA CORTE, J. L.; SOUSA, E. dos S. de (Ed.). Resultados de pesquisa para o Cerrado: 2004-2005. Planaltina, DF: Embrapa Cerrados, 2007. p. 79-82.Tipo: Artigo em Anais de Congresso / Nota Técnica |
Biblioteca(s): Embrapa Cerrados. |
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8. | | SUGAWARA, L. M.; RUDORFF, B. F. T.; ADAMI, M. Viabilidade de uso de imagens do Landsat em mapeamento de área cultivada com soja no Estado do Paraná. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 43, n. 12, p. 1777-1783, dez. 2008. Título em inglês: Feasibility of the use of Landsat imagery to map soybean crop areas in Paraná, Brazil.Biblioteca(s): Embrapa Unidades Centrais. |
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9. | | SADECK, L. W. R.; LIMA, A. M. M. de; ADAMI, M. Artificial neural network for ecological-economic zoning as a tool for spatial planning. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 52, n, 11, p. 1050-1062, novembro 2017. Título em português: Rede neural artificial para o zoneamento ecológico-econômico como instrumento de ordenamento territorial.Biblioteca(s): Embrapa Unidades Centrais. |
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10. | | ADAMI, M.; RIZZI, R.; MOREIRA, M. A.; RUDORFF, B. F. T.; FERREIRA, C. C. Amostragem probabilística estratificada por pontos para estimar a área cultivada com soja. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 45, n. 6, p. 585-592, jun. 2010 Título em inglês: Probabilistic stratified point sampling to estimate soybean crop area.Biblioteca(s): Embrapa Unidades Centrais. |
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11. | | OLIVEIRA, A. H. M.; ADAMI, M.; MARTORANO, L.; VIEIRA, I. C. G. Padrão e mudanças de uso e cobertura do solo de 2004 a 2012 no centro de endemismo Tapajós, Pará. In: SEMINÁRIO ANUAL DE INICIAÇÃO CIENTÍFICA DA UFRA, 13., 2015, Belém, PA. Anais. Belém, PA: Universidade Federal Rural da Amazônia, 2015.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Amazônia Oriental. |
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12. | | ROSA, V. G. C. da; MOREIRA, M. A.; RUDOFF, B. F. T.; ADAMI, M. Estimativa da produtividade de café com base em um modelo agrometeorológico-espectral. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 45, n. 12, p. 1478-1488, dez. 2010 Título em inglês: Coffee crop yield estimate using an agrometeorological?spectral model.Biblioteca(s): Embrapa Unidades Centrais. |
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13. | | ADAMI, M.; FREITAS, R. M. de; PADOVANI, C. R.; SHIMABUKURO, Y. E.; MOREIRA, M. A. Estudo da dinâmica espaço-temporal do bioma Pantanal por meio de imagens MODIS. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 43, n. 10, p. 1371-1378, out. 2008. Título em inglês: Spatial-temporal analysis of MODIS image applied to dynamic of Pantanal biome.Biblioteca(s): Embrapa Unidades Centrais. |
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15. | | ADAMI, M.; VENTURIERI, A.; COUTINHO, A. C.; ESQUERDO, J. C. D. M.; GOMES, A. R. Lulc change on Rondonia, western Brazilian Amazon, by Terraclass project. In: INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM; CANADIAN SYMPOSIUM ON REMOTE SENSING, 35., 2014, Québec. Energy and our Changing Planet: final program. [S.l.]: IEEE, 2014. Não paginado. IGARSS 2014.Tipo: Artigo em Anais de Congresso |
Biblioteca(s): Embrapa Agricultura Digital. |
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16. | | ADAMI, M.; VENTURIERI, A.; COUTINHO, A. C.; ESQUERDO, J. C. D. M.; GOMES, A. R. Lulc change on Rondonia, western brazilian amazon, by Terraclass project. In: INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM; CANADIAN SYMPOSIUM ON REMOTE SENSING, 35., 2014, Québec. Energy and our Changing Planet. [S.l.]: IEEE, 2014. IGARSS 2014.Tipo: Artigo em Anais de Congresso |
Biblioteca(s): Embrapa Amazônia Oriental. |
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17. | | SILVA, G. B. S. da; FORMAGGIO, A. R.; SHIMABUKURO, Y. E.; ADAMI, M.; SANO, E. E. Discriminação da cobertura vegetal do Cerrado matogrossense por meio de imagens MODIS. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 45, n. 2, p. 186-194, fev. 2010 Título em inglês: Discrimination of Cerrado vegetation cover in the state of Mato Grosso using MODIS images.Biblioteca(s): Embrapa Unidades Centrais. |
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Registros recuperados : 59 | |
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