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Registro Completo |
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Biblioteca(s): |
Embrapa Café. |
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Data corrente: |
14/12/2017 |
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Data da última atualização: |
20/03/2019 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
RIBEIRO, L. J.; VOLPATO, M. M. L.; ALVES, H. M. R.; VIEIRA, T. G. C.; SILVA, V. A.; MEIRELES, E. J. L.; INÁCIO, F. D.; DANTAS, M. F.; MACIEL, D. A.; CAMPOS, B. F. D. |
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Afiliação: |
JOSÉ L. RIBEIRO, BIC-FAPEMIG/EPAMIG; MARGARETE MARIN LORDELO VOLPATO, EPAMIG; HELENA MARIA RAMOS ALVES, SAPC; TATIANA GROSSI CHQUILOFF VIEIRA, Bolsista BIPDT-FAPEMIG/EPAMIG; VÂNIA APARECIDA SILVA, Bolsista BIPDT-FAPEMIG/EPAMIG; ELZA JACQUELINE LEITE MEIRELES, SAPC; BIC-FAPEMIG/EPAMIG; Bolsista CBP&D/CAFÉ; DANIEL ANDRADE MACIEL, INPE; Bolsista EPAMIG. |
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Título: |
Imagens de sensoriamento remoto para monitorar as condições hídricas de áreas cafeeiras no Sul de Minas Gerais. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE PESQUISAS CAFEEIRAS, 43., 2017, Poços de Caldas. Novas tecnologias para um bom café produzir. Brasília, DF: Embrapa Café, 2017. |
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Idioma: |
Português |
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Palavras-Chave: |
Temperatura do ar e radiação solar. |
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Thesagro: |
Café; Clima; Precipitação pluvial; Radiação solar; Sensoriamento remoto. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/169027/1/Imagens-de-sensoriamento-remoto.pdf
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Marc: |
LEADER 00976nam a2200277 a 4500
001 2082571
005 2019-03-20
008 2017 bl uuuu u00u1 u #d
100 1 $aRIBEIRO, L. J.
245 $aImagens de sensoriamento remoto para monitorar as condições hídricas de áreas cafeeiras no Sul de Minas Gerais.$h[electronic resource]
260 $aIn: CONGRESSO BRASILEIRO DE PESQUISAS CAFEEIRAS, 43., 2017, Poços de Caldas. Novas tecnologias para um bom café produzir. Brasília, DF: Embrapa Café$c2017
650 $aCafé
650 $aClima
650 $aPrecipitação pluvial
650 $aRadiação solar
650 $aSensoriamento remoto
653 $aTemperatura do ar e radiação solar
700 1 $aVOLPATO, M. M. L.
700 1 $aALVES, H. M. R.
700 1 $aVIEIRA, T. G. C.
700 1 $aSILVA, V. A.
700 1 $aMEIRELES, E. J. L.
700 1 $aINÁCIO, F. D.
700 1 $aDANTAS, M. F.
700 1 $aMACIEL, D. A.
700 1 $aCAMPOS, B. F. D.
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Registro original: |
Embrapa Café (CNPCa) |
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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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