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Registro Completo |
Biblioteca(s): |
Embrapa Territorial; Embrapa Uva e Vinho. |
Data corrente: |
22/04/2015 |
Data da última atualização: |
18/05/2015 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
PITHAN, P. A.; JUNGES, A. H.; FARIAS, A. R.; ANZANELLO, R.; HOFF, R. |
Afiliação: |
Pâmela Aude Pithan, UFSM; Amanda Heemann Junges, Fepagro; ANDRE RODRIGO FARIAS, SGTE; Rafael Anzanello, Fepagro; ROSEMARY HOFF, CNPUV. |
Título: |
Monitoramento do ciclo de videiras pelo Índice de Vegetação por Diferença Normalizada obtido de imagens Landsat 8 no município de Veranópolis-RS, Brasil. |
Ano de publicação: |
2015 |
Fonte/Imprenta: |
In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO - SBSR, 17., 2015, João Pessoa-PB. Anais... João Pessoa: INPE, 2015. |
Idioma: |
Português |
Conteúdo: |
O objetivo deste trabalho foi monitorar o ciclo de videiras (Vitis vinifera) em diferentes sistemas de condução na Serra Gaúcha-RS por meio do Índice de Vegetação por Diferença Normalizada (NDVI) obtido de imagens Landsat8/OLI. |
Palavras-Chave: |
Image processing; IVDN; NDVI; Processamento de imagens. |
Thesagro: |
Viticultura. |
Thesaurus Nal: |
viticulture. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/122555/1/Monitoramento-Videiras-NDVI-Landsat8-XVII-SBSR.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/138638/1/Hoffp0587.pdf
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Marc: |
LEADER 01024nam a2200229 a 4500 001 2013878 005 2015-05-18 008 2015 bl uuuu u00u1 u #d 100 1 $aPITHAN, P. A. 245 $aMonitoramento do ciclo de videiras pelo Índice de Vegetação por Diferença Normalizada obtido de imagens Landsat 8 no município de Veranópolis-RS, Brasil.$h[electronic resource] 260 $aIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO - SBSR, 17., 2015, João Pessoa-PB. Anais... João Pessoa: INPE$c2015 520 $aO objetivo deste trabalho foi monitorar o ciclo de videiras (Vitis vinifera) em diferentes sistemas de condução na Serra Gaúcha-RS por meio do Índice de Vegetação por Diferença Normalizada (NDVI) obtido de imagens Landsat8/OLI. 650 $aviticulture 650 $aViticultura 653 $aImage processing 653 $aIVDN 653 $aNDVI 653 $aProcessamento de imagens 700 1 $aJUNGES, A. H. 700 1 $aFARIAS, A. R. 700 1 $aANZANELLO, R. 700 1 $aHOFF, R.
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Embrapa Territorial (CNPM) |
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Registro Completo
Biblioteca(s): |
Embrapa Amapá. |
Data corrente: |
04/09/2013 |
Data da última atualização: |
04/09/2013 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
POWELL, T. I.; GALBRAITH, D. R.; CHRISTOFFERSEN, B. O.; HARPER, A.; IMBUZEIRO, H. M. A.; ROWLAND, L.; ALMEIDA, S.; BRANDO, P. M.; COSTA, A. C. L. da; COSTA, M. H.; LEVINE, N. M.; MALHI, Y.; SALESKA, S. R.; SOTTA, E.; WILLIAMS, M.; MEIR, P.; MOORCROFT, P. R. |
Afiliação: |
Thomas L. Powell, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA; David R. Galbraith, School of Geography, University of Leeds, Leeds, LS2 9JT, UK; Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, OX1 3QY, UK; Bradley O. Christoffersen, Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721, USA; Anna Harper, College of Engineering, Mathematics, and Physical Science, University of Exeter, Exeter, EX4 4QF, UK; Department of Atmospheric Science, Colorado State University, Fort Collins, CO 80523, USA; Hewlley M. A. Imbuzeiro, Grupo de Pesquisas em Interação Atmosfera-Biosfera, Universidade Federal de Vicosa, Vicosa, CEP 36570-000, Minas Gerias, Brazil; Lucy Rowland, School of GeoSciences, University of Edinburgh, Edinburgh, EH8 9XP, UK; Samuel Almeida, Museu Paraense Emilio Goeldi, Belem, CEP 66077-530, Para, Brazil; Paulo M. Brando, Instituto de Pesquisa Ambiental da Amazônia, CEP 71503-505, Brasilia, Distrito Federal, Brazil; Antonio Carlos Lola da Costa, Centro de Geociências, Universidade Federal do Para, Belem, CEP 66017-970, Para, Brazil; Marcos Heil Costa, Grupo de Pesquisas em Interac~ao Atmosfera-Biosfera, Universidade Federal de Vicosa, Vicosa, CEP 36570-000, Minas Gerias, Brazil; Naomi M. Levine, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA; Yadvinder Malhi, Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, OX1 3QY, UK; Scott R. Saleska, Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721, USA; ELENEIDE DOFF SOTTA, CPAF-AP; Mathew Williams, School of GeoSciences, University of Edinburgh, Edinburgh, EH8 9XP, UK; Patrick Meir, School of GeoSciences, University of Edinburgh, Edinburgh, EH8 9XP, UK; Paul R. Moorcroft, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA. |
Título: |
Confronting model predictions of carbon fluxes with measurements of Amazon forests subjected to experimental drought. |
Ano de publicação: |
2013 |
Fonte/Imprenta: |
New Phytologist, Cambridge, Jul. 2013. |
Idioma: |
Inglês |
Conteúdo: |
Considerable uncertainty surrounds the fate of Amazon rainforests in response to climate change. Here, carbon (C) flux predictions of five terrestrial biosphere models (Community Land Model version 3.5 (CLM3.5), Ecosystem Demography model version 2.1 (ED2), Integrated BIosphere Simulator version 2.6.4 (IBIS), Joint UK Land Environment Simulator version 2.1 (JULES) and Simple Biosphere model version 3 (SiB3)) and a hydrodynamic terrestrial ecosystem model (the Soil?Plant?Atmosphere (SPA) model) were evaluated against measurements from two large-scale Amazon drought experiments. Model predictions agreed with the observed C fluxes in the control plots of both experiments, but poorly replicated the responses to the drought treatments. Most notably, with the exception of ED2, the models predicted negligible reductions in aboveground biomass in response to the drought treatments, which was in contrast to an observed c. 20% reduction at both sites. For ED2, the timing of the decline in aboveground biomass was accurate, but the magnitude was too high for one site and too low for the other. Three key findings indicate critical areas for future research and model development. First, the models predicted declines in autotrophic respiration under prolonged drought in contrast to measured increases at one of the sites. Secondly, models lacking a phenological response to drought introduced bias in the sensitivity of canopy productivity and respiration to drought. Thirdly, the phenomenological water-stress functions used by the terrestrial biosphere models to represent the effects of soil moisture on stomatal conductance yielded unrealistic diurnal and seasonal responses to drought. MenosConsiderable uncertainty surrounds the fate of Amazon rainforests in response to climate change. Here, carbon (C) flux predictions of five terrestrial biosphere models (Community Land Model version 3.5 (CLM3.5), Ecosystem Demography model version 2.1 (ED2), Integrated BIosphere Simulator version 2.6.4 (IBIS), Joint UK Land Environment Simulator version 2.1 (JULES) and Simple Biosphere model version 3 (SiB3)) and a hydrodynamic terrestrial ecosystem model (the Soil?Plant?Atmosphere (SPA) model) were evaluated against measurements from two large-scale Amazon drought experiments. Model predictions agreed with the observed C fluxes in the control plots of both experiments, but poorly replicated the responses to the drought treatments. Most notably, with the exception of ED2, the models predicted negligible reductions in aboveground biomass in response to the drought treatments, which was in contrast to an observed c. 20% reduction at both sites. For ED2, the timing of the decline in aboveground biomass was accurate, but the magnitude was too high for one site and too low for the other. Three key findings indicate critical areas for future research and model development. First, the models predicted declines in autotrophic respiration under prolonged drought in contrast to measured increases at one of the sites. Secondly, models lacking a phenological response to drought introduced bias in the sensitivity of canopy productivity and respiration to drought. Thirdly, the phenomenolog... Mostrar Tudo |
Palavras-Chave: |
Ciclo do cabono; Modelo de biosfera terrestre; Terrestrial biosphere model; Tropical rainforest. |
Thesagro: |
Floresta tropical. |
Thesaurus NAL: |
carbon cycle. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/89031/1/CPAFAP-2013-Confronting-model-predictions-of-carbon.pdf
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Marc: |
LEADER 02802naa a2200385 a 4500 001 1965567 005 2013-09-04 008 2013 bl uuuu u00u1 u #d 100 1 $aPOWELL, T. I. 245 $aConfronting model predictions of carbon fluxes with measurements of Amazon forests subjected to experimental drought.$h[electronic resource] 260 $c2013 520 $aConsiderable uncertainty surrounds the fate of Amazon rainforests in response to climate change. Here, carbon (C) flux predictions of five terrestrial biosphere models (Community Land Model version 3.5 (CLM3.5), Ecosystem Demography model version 2.1 (ED2), Integrated BIosphere Simulator version 2.6.4 (IBIS), Joint UK Land Environment Simulator version 2.1 (JULES) and Simple Biosphere model version 3 (SiB3)) and a hydrodynamic terrestrial ecosystem model (the Soil?Plant?Atmosphere (SPA) model) were evaluated against measurements from two large-scale Amazon drought experiments. Model predictions agreed with the observed C fluxes in the control plots of both experiments, but poorly replicated the responses to the drought treatments. Most notably, with the exception of ED2, the models predicted negligible reductions in aboveground biomass in response to the drought treatments, which was in contrast to an observed c. 20% reduction at both sites. For ED2, the timing of the decline in aboveground biomass was accurate, but the magnitude was too high for one site and too low for the other. Three key findings indicate critical areas for future research and model development. First, the models predicted declines in autotrophic respiration under prolonged drought in contrast to measured increases at one of the sites. Secondly, models lacking a phenological response to drought introduced bias in the sensitivity of canopy productivity and respiration to drought. Thirdly, the phenomenological water-stress functions used by the terrestrial biosphere models to represent the effects of soil moisture on stomatal conductance yielded unrealistic diurnal and seasonal responses to drought. 650 $acarbon cycle 650 $aFloresta tropical 653 $aCiclo do cabono 653 $aModelo de biosfera terrestre 653 $aTerrestrial biosphere model 653 $aTropical rainforest 700 1 $aGALBRAITH, D. R. 700 1 $aCHRISTOFFERSEN, B. O. 700 1 $aHARPER, A. 700 1 $aIMBUZEIRO, H. M. A. 700 1 $aROWLAND, L. 700 1 $aALMEIDA, S. 700 1 $aBRANDO, P. M. 700 1 $aCOSTA, A. C. L. da 700 1 $aCOSTA, M. H. 700 1 $aLEVINE, N. M. 700 1 $aMALHI, Y. 700 1 $aSALESKA, S. R. 700 1 $aSOTTA, E. 700 1 $aWILLIAMS, M. 700 1 $aMEIR, P. 700 1 $aMOORCROFT, P. R. 773 $tNew Phytologist, Cambridge, Jul. 2013.
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