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Registro Completo |
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
15/10/2015 |
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Data da última atualização: |
18/01/2017 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
PRADO, R. B.; FIDALGO, E. C. C.; FERREIRA, J. N.; CAMPANHA, M. M.; PARRON-VARGAS, L. M.; MATTOS, L. M. de; PEDREIRA, B. da C. C. G.; MONTEIRO, J. M. G.; TURETTA, A. P. D.; MARTINS, A. L. da S.; DONAGEMMA, G. K.; COUTINHO, H. L. da C. |
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Afiliação: |
RACHEL BARDY PRADO, CNPS; ELAINE CRISTINA CARDOSO FIDALGO, CNPS; JOICE NUNES FERREIRA, CPATU; MONICA MATOSO CAMPANHA, CNPMS; LUCILIA MARIA PARRON VARGAS, CNPF; LUCIANO MANSOR DE MATTOS, CPAC; BERNADETE DA CONCEICAO C G PEDREIRA, CNPS; JOYCE MARIA GUIMARAES MONTEIRO, CNPS; ANA PAULA DIAS TURETTA, CNPS; ALBA LEONOR DA SILVA MARTINS, CNPS; GUILHERME KANGUSSU DONAGEMMA, CNPS; HEITOR LUIZ DA COSTA COUTINHO, CNPS. |
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Título: |
Embrapa research network on ecosystem services in Brazil. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
In: CONGRESO INTERNACIONAL DE SERVICIOS ECOSISTÉMICOS EN LOS NEOTRÓPICOS, 4., 2015, Mar del Plata. De la investigación a la acción: libro de resúmenes. Mar del Plata: GEAP, 2015. |
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Páginas: |
5 p. |
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Descrição Física: |
Disponível online. |
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Idioma: |
Inglês |
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Notas: |
CISEN 4. |
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Conteúdo: |
Human pressures have caused degradation of natural resources and reduction of biodiversity on theplanetwith serious consequences to humanity, because of the increasing demands for water, fibers,food, energy and raw material. It is necessary to reconcile economic, social and environmentalcomponents in a scenario of climate change. Therefore, concerns about this issue have increased inall sectors of society. Many data on natural resources in the Brazilian biomes were obtained by re-search, education, government and non-government institutions in recent decades, but without aconceptual and methodological focus turned to ecosystem services. Research aiming at understand-ing ecosystem and environmental services has increased worldwide since the Millennium Ecosys-tem Assessment. Brazilian Agricultural Research Corporation (Embrapa) has also followed thistrend and in 2014 approved a network of projects entitled Environmental Services in Rural Land-scape Arrangement with over 60 related projects.The purpose of this paper is to present the statusof research on ecosystem and environmental services related to agriculture in Brazil developed byEmbrapa, and to identify how the expected results may contribute to the expansion of environmen-tal services in rural Brazil. |
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Palavras-Chave: |
Herramienta de apoyo en la decision; Red de investigación; Rede de pesquisa; Research network; Servicio ecosistémico; Serviço ambiental; Support decision tools. |
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Thesagro: |
Tomada de Decisão. |
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Thesaurus Nal: |
ecosystem services. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02625naa a2200385 a 4500
001 2026523
005 2017-01-18
008 2015 bl --- 0-- u #d
100 1 $aPRADO, R. B.
245 $aEmbrapa research network on ecosystem services in Brazil.$h[electronic resource]
260 $c2015
300 $a5 p.$cDisponível online.
500 $aCISEN 4.
520 $aHuman pressures have caused degradation of natural resources and reduction of biodiversity on theplanetwith serious consequences to humanity, because of the increasing demands for water, fibers,food, energy and raw material. It is necessary to reconcile economic, social and environmentalcomponents in a scenario of climate change. Therefore, concerns about this issue have increased inall sectors of society. Many data on natural resources in the Brazilian biomes were obtained by re-search, education, government and non-government institutions in recent decades, but without aconceptual and methodological focus turned to ecosystem services. Research aiming at understand-ing ecosystem and environmental services has increased worldwide since the Millennium Ecosys-tem Assessment. Brazilian Agricultural Research Corporation (Embrapa) has also followed thistrend and in 2014 approved a network of projects entitled Environmental Services in Rural Land-scape Arrangement with over 60 related projects.The purpose of this paper is to present the statusof research on ecosystem and environmental services related to agriculture in Brazil developed byEmbrapa, and to identify how the expected results may contribute to the expansion of environmen-tal services in rural Brazil.
650 $aecosystem services
650 $aTomada de Decisão
653 $aHerramienta de apoyo en la decision
653 $aRed de investigación
653 $aRede de pesquisa
653 $aResearch network
653 $aServicio ecosistémico
653 $aServiço ambiental
653 $aSupport decision tools
700 1 $aFIDALGO, E. C. C.
700 1 $aFERREIRA, J. N.
700 1 $aCAMPANHA, M. M.
700 1 $aPARRON-VARGAS, L. M.
700 1 $aMATTOS, L. M. de
700 1 $aPEDREIRA, B. da C. C. G.
700 1 $aMONTEIRO, J. M. G.
700 1 $aTURETTA, A. P. D.
700 1 $aMARTINS, A. L. da S.
700 1 $aDONAGEMMA, G. K.
700 1 $aCOUTINHO, H. L. da C.
773 $tIn: CONGRESO INTERNACIONAL DE SERVICIOS ECOSISTÉMICOS EN LOS NEOTRÓPICOS, 4., 2015, Mar del Plata. De la investigación a la acción: libro de resúmenes. Mar del Plata: GEAP, 2015.
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Registro original: |
Embrapa Florestas (CNPF) |
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Biblioteca |
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Origem |
Tipo/Formato |
Classificação |
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Registro |
Volume |
Status |
URL |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Meio Ambiente. Para informações adicionais entre em contato com cnpma.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Meio Ambiente. |
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Data corrente: |
31/07/2018 |
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Data da última atualização: |
31/07/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
CHEN, Y.; LU, D.; MORAN, E.; BATISTELLA, M.; DUTRA, L. V.; SANCHES, I. D. A.; SILVA, R. F. B. da; HUANG, J.; LUIZ, A. J. B.; OLIVEIRA, M. A. F. de. |
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Afiliação: |
YAOLINAG CHEN, Zhejiang Agriculture and Forestry University; DENGSHENG LU, Zhejiang Agriculture and Forestry University; EMILIO MORAN, Michigan State University; MATEUS BATISTELLA, CNPTIA; LUCIANO VIEIRA DUTRA, INPE; IARA DEL ARCO SANCHES, INPE; RAMON FELIPE BICUDO DA SILVA, Unicamp; JINGFENG HUANG, Zhejiang University; ALFREDO JOSE BARRETO LUIZ, CNPMA; MARIA ANTONIA FALCAO DE OLIVEIRA, INPE. |
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Título: |
Mapping croplands, cropping patterns, and crop types using MODIS time-series data. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
International Journal of Applied Earth Observation and Geoinformation, v. 69, p. 133-147, 2018. |
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DOI: |
https://doi.org/10.1016/j.jag.2018.03.00 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: The importance of mapping regional and global cropland distribution in timely ways has been recognized, but separation of crop types and multiple cropping patterns is challenging due to their spectral similarity. This study developed a new approach to identify crop types (including soy, cotton and maize) and cropping patterns (Soy-Maize, Soy-Cotton, Soy-Pasture, Soy-Fallow, Fallow-Cotton and Single crop) in the state of Mato Grosso, Brazil. The Moderate Resolution Imaging Spectroradiometer (MODIS) normalized difference vegetation index (NDVI) time series data for 2015 and 2016 and field survey data were used in this research. The major steps of this proposed approach include: (1) reconstructing NDVI time series data by removing the cloud-contaminated pixels using the temporal interpolation algorithm, (2) identifying the best periods and developing temporal indices and phenological parameters to distinguish croplands from other land cover types, and (3) developing crop temporal indices to extract cropping patterns using NDVI time-series data and group cropping patterns into crop types. Decision tree classifier was used to map cropping patterns based on these temporal indices. Croplands from Landsat imagery in 2016, cropping pattern samples from field survey in 2016, and the planted area of crop types in 2015 were used for accuracy assessment. Overall accuracies of approximately 90%, 73% and 86%, respectively were obtained for croplands, cropping patterns, and crop types. The adjusted coefficients of determination of total crop, soy, maize, and cotton areas with corresponding statistical areas were 0.94, 0.94, 0.88 and 0.88, respectively. This research indicates that the proposed approach is promising for mapping large-scale croplands, their cropping patterns and crop types. MenosAbstract: The importance of mapping regional and global cropland distribution in timely ways has been recognized, but separation of crop types and multiple cropping patterns is challenging due to their spectral similarity. This study developed a new approach to identify crop types (including soy, cotton and maize) and cropping patterns (Soy-Maize, Soy-Cotton, Soy-Pasture, Soy-Fallow, Fallow-Cotton and Single crop) in the state of Mato Grosso, Brazil. The Moderate Resolution Imaging Spectroradiometer (MODIS) normalized difference vegetation index (NDVI) time series data for 2015 and 2016 and field survey data were used in this research. The major steps of this proposed approach include: (1) reconstructing NDVI time series data by removing the cloud-contaminated pixels using the temporal interpolation algorithm, (2) identifying the best periods and developing temporal indices and phenological parameters to distinguish croplands from other land cover types, and (3) developing crop temporal indices to extract cropping patterns using NDVI time-series data and group cropping patterns into crop types. Decision tree classifier was used to map cropping patterns based on these temporal indices. Croplands from Landsat imagery in 2016, cropping pattern samples from field survey in 2016, and the planted area of crop types in 2015 were used for accuracy assessment. Overall accuracies of approximately 90%, 73% and 86%, respectively were obtained for croplands, cropping patterns, and crop t... Mostrar Tudo |
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Palavras-Chave: |
Crop types; Croplands; Cropping patterns; Decision tree classifier; MODIS NDVI. |
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Thesagro: |
Algodão; Milho; Sensoriamento Remoto; Sistema de Informação Geográfica; Soja. |
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Thesaurus NAL: |
Brazil. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 02902naa a2200373 a 4500
001 2093725
005 2018-07-31
008 2018 bl --- 0-- u #d
024 7 $ahttps://doi.org/10.1016/j.jag.2018.03.00$2DOI
100 1 $aCHEN, Y.
245 $aMapping croplands, cropping patterns, and crop types using MODIS time-series data.$h[electronic resource]
260 $c2018
520 $aAbstract: The importance of mapping regional and global cropland distribution in timely ways has been recognized, but separation of crop types and multiple cropping patterns is challenging due to their spectral similarity. This study developed a new approach to identify crop types (including soy, cotton and maize) and cropping patterns (Soy-Maize, Soy-Cotton, Soy-Pasture, Soy-Fallow, Fallow-Cotton and Single crop) in the state of Mato Grosso, Brazil. The Moderate Resolution Imaging Spectroradiometer (MODIS) normalized difference vegetation index (NDVI) time series data for 2015 and 2016 and field survey data were used in this research. The major steps of this proposed approach include: (1) reconstructing NDVI time series data by removing the cloud-contaminated pixels using the temporal interpolation algorithm, (2) identifying the best periods and developing temporal indices and phenological parameters to distinguish croplands from other land cover types, and (3) developing crop temporal indices to extract cropping patterns using NDVI time-series data and group cropping patterns into crop types. Decision tree classifier was used to map cropping patterns based on these temporal indices. Croplands from Landsat imagery in 2016, cropping pattern samples from field survey in 2016, and the planted area of crop types in 2015 were used for accuracy assessment. Overall accuracies of approximately 90%, 73% and 86%, respectively were obtained for croplands, cropping patterns, and crop types. The adjusted coefficients of determination of total crop, soy, maize, and cotton areas with corresponding statistical areas were 0.94, 0.94, 0.88 and 0.88, respectively. This research indicates that the proposed approach is promising for mapping large-scale croplands, their cropping patterns and crop types.
650 $aBrazil
650 $aAlgodão
650 $aMilho
650 $aSensoriamento Remoto
650 $aSistema de Informação Geográfica
650 $aSoja
653 $aCrop types
653 $aCroplands
653 $aCropping patterns
653 $aDecision tree classifier
653 $aMODIS NDVI
700 1 $aLU, D.
700 1 $aMORAN, E.
700 1 $aBATISTELLA, M.
700 1 $aDUTRA, L. V.
700 1 $aSANCHES, I. D. A.
700 1 $aSILVA, R. F. B. da
700 1 $aHUANG, J.
700 1 $aLUIZ, A. J. B.
700 1 $aOLIVEIRA, M. A. F. de
773 $tInternational Journal of Applied Earth Observation and Geoinformation$gv. 69, p. 133-147, 2018.
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Embrapa Meio Ambiente (CNPMA) |
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