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Registro Completo |
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Biblioteca(s): |
Embrapa Amazônia Oriental; Embrapa Cerrados; Embrapa Meio-Norte; Embrapa Milho e Sorgo; Embrapa Pantanal; Embrapa Solos; Embrapa Territorial. |
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Data corrente: |
16/09/2022 |
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Data da última atualização: |
16/09/2022 |
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Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
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Autoria: |
PRADO, R. B.; CAMPANHA, M. M.; PEREIRA, F. de M.; TOMAS, W. M.; TOSTO, S. G.; FERREIRA, J. N.; AQUINO, F. de G.; WINCKLER, L. T.; SOUZA, B. de A. |
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Afiliação: |
RACHEL BARDY PRADO, CNPS; MONICA MATOSO CAMPANHA, CNPMS; FABIA DE MELLO PEREIRA, CPAMN; WALFRIDO MORAES TOMAS, CPAP; SERGIO GOMES TOSTO, CNPM; JOICE NUNES FERREIRA, CPATU; FABIANA DE GOIS AQUINO, CPAC; LILIAN TEREZINHA WINCKLER, CPACT; BRUNO DE ALMEIDA SOUZA, CPAMN. |
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Título: |
Portfólio Serviços Ambientais da Embrapa: rede de pesquisa e apoio à tomada de decisão e às políticas públicas voltadas à sustentabilidade na agricultura . |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
In: NOGUEIRA JUNIOR, L. R.; TOSTO, S. G.; FURTADO, A. L. dos S.; PEREIRA, L. C. (Ed.). Serviços ecossistêmicos e pagamento por serviços ambientais: aspectos teóricos e estudo de caso. Brasília, DF: Embrapa, 2022. |
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Páginas: |
p. 19-35. |
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ISBN: |
978-65-89957-20-1 |
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Idioma: |
Português |
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Conteúdo: |
O presente capítulo tem como propósito apresentar o escopo desse portfólio, suas prioridades, perspectivas e atuação. |
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Palavras-Chave: |
Desafios de inovação; Pagamento por serviços ambientais; Serviços ecossistêmicos; Valoração ambiental. |
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Thesagro: |
Equilíbrio Ecológico. |
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Thesaurus Nal: |
Ecosystem services; Environmental control systems. |
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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/doc/1146560/1/6065.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1146577/1/Portfolio-Servicos-Ambientais-da-Embrapa-2022.pdf
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Marc: |
LEADER 01351naa a2200325 a 4500
001 2146560
005 2022-09-16
008 2022 bl uuuu u00u1 u #d
020 $a978-65-89957-20-1
100 1 $aPRADO, R. B.
245 $aPortfólio Serviços Ambientais da Embrapa$brede de pesquisa e apoio à tomada de decisão e às políticas públicas voltadas à sustentabilidade na agricultura .$h[electronic resource]
260 $c2022
300 $ap. 19-35.
520 $aO presente capítulo tem como propósito apresentar o escopo desse portfólio, suas prioridades, perspectivas e atuação.
650 $aEcosystem services
650 $aEnvironmental control systems
650 $aEquilíbrio Ecológico
653 $aDesafios de inovação
653 $aPagamento por serviços ambientais
653 $aServiços ecossistêmicos
653 $aValoração ambiental
700 1 $aCAMPANHA, M. M.
700 1 $aPEREIRA, F. de M.
700 1 $aTOMAS, W. M.
700 1 $aTOSTO, S. G.
700 1 $aFERREIRA, J. N.
700 1 $aAQUINO, F. de G.
700 1 $aWINCKLER, L. T.
700 1 $aSOUZA, B. de A.
773 $tIn: NOGUEIRA JUNIOR, L. R.; TOSTO, S. G.; FURTADO, A. L. dos S.; PEREIRA, L. C. (Ed.). Serviços ecossistêmicos e pagamento por serviços ambientais: aspectos teóricos e estudo de caso. Brasília, DF: Embrapa, 2022.
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Registro original: |
Embrapa Territorial (CNPM) |
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Biblioteca |
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Origem |
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Classificação |
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Registro |
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Registro Completo
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Biblioteca(s): |
Embrapa Territorial. |
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Data corrente: |
02/12/2014 |
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Data da última atualização: |
02/12/2014 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 1 |
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Autoria: |
BRANDAO, Z. N.; GREGO, C. R.; INAMASU, R. Y.; JORGE, L. A. de C. |
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Afiliação: |
ZIANY NEIVA BRANDAO, CNPA; CELIA REGINA GREGO, CNPM; RICARDO YASSUSHI INAMASU, CNPDIA; LUCIO ANDRE DE CASTRO JORGE, CNPDIA. |
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Título: |
Spectral reflectance of satellite images using geostatistics methods to estimate growth and cotton yield. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Proceedings of SPIE, v. 9239, p. 923920-1 - 923920-8, 2014. |
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ISBN: |
0277-786X |
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DOI: |
10.1117/12.2067257 |
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Idioma: |
Inglês |
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Notas: |
Presented at the 16th Remote Sensing for Agriculture, Ecosystems, and Hydrology. |
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Conteúdo: |
The objective of this study was the spatial identification of the NDVI index and cotton yield distributions through different crop phenological stages using geostatistical methods in Goiás state, Brazil. The experiment was carried out in a commercial field with 47.4 ha, in 80x80m georeferenced grid with 74 plots. Yield monitor data and multispectral satellite images at 56 m spatial resolution were collected in a rainfed cotton field in two dates to monitor the plant vigor. Satellite images of AWiFS sensor were acquired on 08/02/2011 and 01/04/2011, during the first flowering and fruiting cotton stages, respectively, corresponding to 70 and 120DAE (days after emergence). Measures of canopy reflectance, plant height and leaf nitrogen content were determined and cotton yield was obtained by mechanical harvest in August, 2011. Data were analyzed using descriptive statistics, correlation and geostatistical analyses by building and setting semivariograms and kriging interpolation. Best correlation was found between NDVI and cotton yield at 120DAE. At first flowering, the NDVI and cotton yield showed strong spatial dependence, while for 120DAE there was no dependence, probably due to the enlargement of vegetated coverage. There were similarities in the bottom left of the study area with high values of NDVI, as well as the highest values of cotton yield due to excellent plant vigor in the cotton flowering stage. Identifications of spatial differences were possible using geostatistical methods with remote sensing data obtained from medium resolution satellite images, allowing to identify distinct stages of plant growth and also to predict the cotton yield. MenosThe objective of this study was the spatial identification of the NDVI index and cotton yield distributions through different crop phenological stages using geostatistical methods in Goiás state, Brazil. The experiment was carried out in a commercial field with 47.4 ha, in 80x80m georeferenced grid with 74 plots. Yield monitor data and multispectral satellite images at 56 m spatial resolution were collected in a rainfed cotton field in two dates to monitor the plant vigor. Satellite images of AWiFS sensor were acquired on 08/02/2011 and 01/04/2011, during the first flowering and fruiting cotton stages, respectively, corresponding to 70 and 120DAE (days after emergence). Measures of canopy reflectance, plant height and leaf nitrogen content were determined and cotton yield was obtained by mechanical harvest in August, 2011. Data were analyzed using descriptive statistics, correlation and geostatistical analyses by building and setting semivariograms and kriging interpolation. Best correlation was found between NDVI and cotton yield at 120DAE. At first flowering, the NDVI and cotton yield showed strong spatial dependence, while for 120DAE there was no dependence, probably due to the enlargement of vegetated coverage. There were similarities in the bottom left of the study area with high values of NDVI, as well as the highest values of cotton yield due to excellent plant vigor in the cotton flowering stage. Identifications of spatial differences were possible using geostatistic... Mostrar Tudo |
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Palavras-Chave: |
Geostatistical analyses. |
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Thesaurus NAL: |
Normalized difference vegetation index; Precision agriculture. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/112770/1/4199.pdf
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Marc: |
LEADER 02479naa a2200229 a 4500
001 2001261
005 2014-12-02
008 2014 bl uuuu u00u1 u #d
022 $a0277-786X
024 7 $a10.1117/12.2067257$2DOI
100 1 $aBRANDAO, Z. N.
245 $aSpectral reflectance of satellite images using geostatistics methods to estimate growth and cotton yield.$h[electronic resource]
260 $c2014
500 $aPresented at the 16th Remote Sensing for Agriculture, Ecosystems, and Hydrology.
520 $aThe objective of this study was the spatial identification of the NDVI index and cotton yield distributions through different crop phenological stages using geostatistical methods in Goiás state, Brazil. The experiment was carried out in a commercial field with 47.4 ha, in 80x80m georeferenced grid with 74 plots. Yield monitor data and multispectral satellite images at 56 m spatial resolution were collected in a rainfed cotton field in two dates to monitor the plant vigor. Satellite images of AWiFS sensor were acquired on 08/02/2011 and 01/04/2011, during the first flowering and fruiting cotton stages, respectively, corresponding to 70 and 120DAE (days after emergence). Measures of canopy reflectance, plant height and leaf nitrogen content were determined and cotton yield was obtained by mechanical harvest in August, 2011. Data were analyzed using descriptive statistics, correlation and geostatistical analyses by building and setting semivariograms and kriging interpolation. Best correlation was found between NDVI and cotton yield at 120DAE. At first flowering, the NDVI and cotton yield showed strong spatial dependence, while for 120DAE there was no dependence, probably due to the enlargement of vegetated coverage. There were similarities in the bottom left of the study area with high values of NDVI, as well as the highest values of cotton yield due to excellent plant vigor in the cotton flowering stage. Identifications of spatial differences were possible using geostatistical methods with remote sensing data obtained from medium resolution satellite images, allowing to identify distinct stages of plant growth and also to predict the cotton yield.
650 $aNormalized difference vegetation index
650 $aPrecision agriculture
653 $aGeostatistical analyses
700 1 $aGREGO, C. R.
700 1 $aINAMASU, R. Y.
700 1 $aJORGE, L. A. de C.
773 $tProceedings of SPIE$gv. 9239, p. 923920-1 - 923920-8, 2014.
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Embrapa Territorial (CNPM) |
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