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| Registros recuperados : 64 | |
| 21. |  | 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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| 22. | | 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.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 23. | | 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.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 25. | | GUSSO, A.; FORMAGGIO, A. R.; RIZZI, R.; ADAMI, M.; RUDORFF, B. F. T. Soybean crop area estimation by Modis/Evi data. Pesquisa Agropecuaria Brasileira, Brasília, DF, v. 47, n. 3, p. 425-435, mar. 2012. Título em português: Estimativa de áreas de cultivo de soja por meio de dados Modis/Evi.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 26. | | PADOVANI, C. R.; SHIMABUKURO, Y. E.; FREITAS, R. M.; ADAMI, M.; VETTORAZZI, C. A. Spatial analysis of Pantanal wetland flood dynamics determined from modis images: a case study . In: INTECOL INTERNATIONAL WETLANDS CONFERENCE, 8., Cuiabá, 2008. Big wetlands, big concerns: abstracts. [Sl.: s.n], 2008. p.160| Biblioteca(s): Embrapa Pantanal. |
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| 27. | | BERNADES, T.; ADAMI, M.; FARMAGGIO, A. R.; MOREIRA, M. A.; FRANÇA, D. de A.; NOVAES, M. R. de. Imagens mono e multitemporais Modis para estimativa da área com soja no Estado de Mato Grosso. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 46, n. 11, p. 1530-1537, nov. 2011 Título em inglês: Mono and multitemporal Modis imagery for soybean area estimate in Mato Grosso State, Brazil.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 28. | | SANTOS, M. N. dos; PINAGÉ, E. R.; LONGO, M.; ARAUJO, L. S. de; ADAMI, M.; MORTON, D.; KELLER, M. Lidar-based assessment of forest edge effects across a degraded landscape in the Brazilian Amazon. In: CONFERENCE ON LIDAR APPLICATIONS FOR ASSESSING AND MANAGING FOREST ECOSYSTEMS, 14., 2015. La Grande Motte, France. Proceedings of SilviLaser... La Grande Motte, France: IGN, 2015. p. 81-83.| Biblioteca(s): Embrapa Territorial. |
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| 29. | | ADAMI, M.; MOREIRA, M. A.; RUDORFF, B. F. T.; FREITAS, C. da C.; FARIA, R. T. de; DEPPE, F. Painel amostral para estimativa de áreas agrícolas. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 42, n. 1, p. 81-88, jan. 2007 Título em inglês: Sampling frame for crop area estimation.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 31. | | MARTORANO, L. G.; SOTTA, E. D.; MARTORANO, P.; ADAMI, M.; BELTRÃO, N.; LISBOA, L.; OLIVEIRA, A.; NASCIMENTO, N. Effects of agricultural expansion on abundance of species in Amazon rainforest. In: INTERNATIONAL ECOSUMMIT, 5., 2016, Montpellier. Ecological sustainability: Engineering Change. [S.l.]: Elsevier, 2016.| Biblioteca(s): Embrapa Amapá. |
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| 32. | | MARTORANO, L. G.; SOTTA, E. D.; MARTORANO, P.; ADAMI, M.; BELTRÃO, N.; LISBOA, L.; OLIVEIRA, A.; NASCIMENTO, N. Effects of agricultural expansion on abundance of species in Amazon rainforest. In: INTERNATIONAL ECOSUMMIT, 5., 2016, Montpellier. Ecological sustainability: Engineering Change. [S.l.]: Elsevier, 2016.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 33. | | RISSO, J.; RIZZI, R.; RUDORFF, B. F. T.; ADAMI, M.; SHIMABUKURO, Y. E.; FORMAGGIO, A. R.; EPIPHANIO, R. D. V. Índices de vegetação Modis aplicados na discriminação de áreas de soja. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 47, n. 9, p. 1317-1326, set. 2012. Título em inglês: Modis vegetation indices applied to soybean area discrimination.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 35. | | SOUSA, L. M. de; KATO, O. R.; ADAMI, M.; SOUZA, A. A. A.; RAMOS, W. F.; SILVA, I. dos S. e. Analise multitemporal do desmatamento no município de Tomé-Açú entre 1985 a 2018. Pesquisa Florestal Brasileira, Colombo, v. 42, e201902053, 2022. 11 p.| Biblioteca(s): Embrapa Florestas. |
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| 39. | | GOERGEN, Ç L. C. de G.; KILCA, R. de V.; NARVAES, I. da S.; SILVA, M. N.; SILVA, E. A.; PEREIRA, R. S. P.; ADAMI, M. Distinção de espécies de eucalipto de diferentes idades por meio de imagens TM/Landsat 5. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 51, n. 1, p. 53-60, jan. 2016 Título em inglês: Distinction of eucalyptus species of different ages using Landsat 5 TM images.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 40. | | ALMEIDA, C. A. de; COUTINHO, A. C.; ESQUERDO, J. C. D. M.; ADAMI, M.; VENTURIERI, A.; DINIZ, C. G.; DESSAY, N.; DURIEUX, L.; GOMES, A. R. High spatial resolution land use and land cover mapping of the Brazilian Legal Amazon in 2008 using Landsat-5/TM and MODIS data. Acta Amazonica, Manaus, v. 46, n. 3, p. 291-302, July/Sept. 2016.| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Amazônia Oriental. |
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| Registros recuperados : 64 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Territorial. |
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Data corrente: |
17/01/2017 |
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Data da última atualização: |
30/05/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
Internacional - A |
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Autoria: |
AGUIAR, D. A.; MELLO, M. P.; NOGUEIRA, S. F.; GONÇALVES, F. G.; ADAMI, M.; RUDORFF, B. F. T. |
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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. |
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Título: |
MODIS Time Series to Detect Anthropogenic Interventions and Degradation Processes in Tropical Pasture. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Remote Sensing, v. 9, n. 73, 2017. |
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Idioma: |
Inglês |
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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 |
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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. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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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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