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Registro Completo |
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Biblioteca(s): |
Embrapa Algodão. |
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Data corrente: |
17/06/2010 |
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Data da última atualização: |
17/06/2010 |
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Autoria: |
SOUZA, T. A. F. de; RAPOSO, R. W. C.; DANTAS, A. J. de A.; SILVA, C. V. e; GOMES NETO, A. D.; SANTOS, L. C. N. dos; ARAÚJO, R. D. de A.; RODRIGUES, H. R. N.; ANDRADE, D. A. de; MEDEIROS, D. A.; DIAS, J. A.; SILVA, E. S. da; LIMA, G. K.; LUCENA, E. H. L. de; PRATES, C. da S. F. |
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Afiliação: |
Tancredo Augusto Feitosa de Souza; Roberto Wagner Cavalcanti Raposo; Aylson Jackson de Araújo Dantas; Carolline Vargas e Silva; Antonio Dantas Gomes Neto; Luiz Cláudio Nascimento dos Santos; Rodolfo César de Albuquerque Araújo; Heitor Régis Nascimento Rodrigues; Diego Alves de Andrade; Diego Almeida Medeiros; Jefferson Alves Dias; Edgley Soares da Silva; Glêvia Kamila Lima; Eduardo Henrique Lima de Lucena; Cristine da Silveira Figueiredo Prates. |
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Título: |
Análise da cadeia produtiva do girassol no município de Esperança - PB. |
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Ano de publicação: |
2010 |
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Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE MAMONA, 4.; SIMPÓSIO INTERNACIONAL DE OLEAGINOSAS ENERGÉTICAS, 1., 2010, João Pessoa. Inclusão social e energia: anais. Campina Grande: Embrapa Algodão, 2010. |
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Idioma: |
Português |
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Palavras-Chave: |
Helianthus annuus L; Pesquisa participativa. |
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Thesagro: |
Cadeia Produtiva. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/18352/1/ECP-17.pdf
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Marc: |
LEADER 01033nam a2200301 a 4500
001 1855370
005 2010-06-17
008 2010 bl uuuu u00u1 u #d
100 1 $aSOUZA, T. A. F. de
245 $aAnálise da cadeia produtiva do girassol no município de Esperança - PB.
260 $aIn: CONGRESSO BRASILEIRO DE MAMONA, 4.; SIMPÓSIO INTERNACIONAL DE OLEAGINOSAS ENERGÉTICAS, 1., 2010, João Pessoa. Inclusão social e energia: anais. Campina Grande: Embrapa Algodão$c2010
650 $aCadeia Produtiva
653 $aHelianthus annuus L
653 $aPesquisa participativa
700 1 $aRAPOSO, R. W. C.
700 1 $aDANTAS, A. J. de A.
700 1 $aSILVA, C. V. e
700 1 $aGOMES NETO, A. D.
700 1 $aSANTOS, L. C. N. dos
700 1 $aARAÚJO, R. D. de A.
700 1 $aRODRIGUES, H. R. N.
700 1 $aANDRADE, D. A. de
700 1 $aMEDEIROS, D. A.
700 1 $aDIAS, J. A.
700 1 $aSILVA, E. S. da
700 1 $aLIMA, G. K.
700 1 $aLUCENA, E. H. L. de
700 1 $aPRATES, C. da S. F.
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Registro original: |
Embrapa Algodão (CNPA) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Solos. Para informações adicionais entre em contato com cnps.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
07/12/2020 |
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Data da última atualização: |
13/04/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 3 |
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Autoria: |
MACEDO, P. S. M.; OLIVEIRA, P. T. S.; ANTUNES, M. A. H.; DURIGON, V. L.; FIDALGO, E. C. C.; CARVALHO, D. F. de. |
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Afiliação: |
PIETRO SANCHEZ MENEZES MACEDO, UFRRJ; PAULO TARSO SANCHES OLIVEIRA, UFMS; MAURO ANTONIO HOMEM ANTUNES, UFRRJ; VALDEMIR LUCIO DURIGON, UFRRJ; ELAINE CRISTINA CARDOSO FIDALGO, CNPS; DANIEL FONSECA DE CARVALHO, UFRRJ. |
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Título: |
New approach for obtaining the C-factor of RUSLE considering the seasonal effect of rainfalls on vegetation cover. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
International Soil and Water Conservation Research, v. 9, n. 2, p. 207-216, Jun. 2021. |
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DOI: |
https://doi.org/10.1016/j.iswcr.2020.12.001 |
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Idioma: |
Inglês |
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Conteúdo: |
We present a new approach for calculating the C-factor of RUSLE considering the effect of low-reflectance vegetation cover areas on the reduction of the effects on erosion caused by rainfall seasonality. For this, we propose the coefficients Cr2 (rescaled 2) and C-PC (Precipitation Correction), which represent the C-factor, and an adaptation in NDVI calculation, according to the seasonality of precipitation (NDVI-PC). The Cr2 factor is used when there is no seasonal effect of rainfall on vegetation, while the C-PC factor is calculated for localities under the influence of seasonality, from NDVI-PC. The proposed approaches were tested using different satellites images in the Palmares-Ribeirão do Saco watershed, Rio de Janeiro, Brazil. The values of Cr2 and C-PC factors were compared to the Cr factor (rescaled) and to mean values from the literature for different land covers. Our results indicated that the Cr2 factor represents an improvement in accuracy in relation to Cr by considering specific values of the studied area to normalize the data without generalizations. Furthermore, the C-PC factor is able to simulate the effect of seasonality, providing more realistics values of soil loss by the RUSLE as a function of the proportion of area affected by the rainfall seasonality obtained from NDVI-PC. We conclude that both Cr2 and C-PC factors generate values similar of the C-factor observed in the literature, and therefore are able to provide better soil loss estimation than that using the Cr factor. MenosWe present a new approach for calculating the C-factor of RUSLE considering the effect of low-reflectance vegetation cover areas on the reduction of the effects on erosion caused by rainfall seasonality. For this, we propose the coefficients Cr2 (rescaled 2) and C-PC (Precipitation Correction), which represent the C-factor, and an adaptation in NDVI calculation, according to the seasonality of precipitation (NDVI-PC). The Cr2 factor is used when there is no seasonal effect of rainfall on vegetation, while the C-PC factor is calculated for localities under the influence of seasonality, from NDVI-PC. The proposed approaches were tested using different satellites images in the Palmares-Ribeirão do Saco watershed, Rio de Janeiro, Brazil. The values of Cr2 and C-PC factors were compared to the Cr factor (rescaled) and to mean values from the literature for different land covers. Our results indicated that the Cr2 factor represents an improvement in accuracy in relation to Cr by considering specific values of the studied area to normalize the data without generalizations. Furthermore, the C-PC factor is able to simulate the effect of seasonality, providing more realistics values of soil loss by the RUSLE as a function of the proportion of area affected by the rainfall seasonality obtained from NDVI-PC. We conclude that both Cr2 and C-PC factors generate values similar of the C-factor observed in the literature, and therefore are able to provide better soil loss estimation than tha... Mostrar Tudo |
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Palavras-Chave: |
Cobertura da Terra; NDVI. |
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Thesagro: |
Erosão do Solo; Manejo do Solo; Vegetação. |
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Thesaurus NAL: |
Land cover; Soil erosion; Soil management; Vegetation. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02468naa a2200301 a 4500
001 2127717
005 2021-04-13
008 2021 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.iswcr.2020.12.001$2DOI
100 1 $aMACEDO, P. S. M.
245 $aNew approach for obtaining the C-factor of RUSLE considering the seasonal effect of rainfalls on vegetation cover.$h[electronic resource]
260 $c2021
520 $aWe present a new approach for calculating the C-factor of RUSLE considering the effect of low-reflectance vegetation cover areas on the reduction of the effects on erosion caused by rainfall seasonality. For this, we propose the coefficients Cr2 (rescaled 2) and C-PC (Precipitation Correction), which represent the C-factor, and an adaptation in NDVI calculation, according to the seasonality of precipitation (NDVI-PC). The Cr2 factor is used when there is no seasonal effect of rainfall on vegetation, while the C-PC factor is calculated for localities under the influence of seasonality, from NDVI-PC. The proposed approaches were tested using different satellites images in the Palmares-Ribeirão do Saco watershed, Rio de Janeiro, Brazil. The values of Cr2 and C-PC factors were compared to the Cr factor (rescaled) and to mean values from the literature for different land covers. Our results indicated that the Cr2 factor represents an improvement in accuracy in relation to Cr by considering specific values of the studied area to normalize the data without generalizations. Furthermore, the C-PC factor is able to simulate the effect of seasonality, providing more realistics values of soil loss by the RUSLE as a function of the proportion of area affected by the rainfall seasonality obtained from NDVI-PC. We conclude that both Cr2 and C-PC factors generate values similar of the C-factor observed in the literature, and therefore are able to provide better soil loss estimation than that using the Cr factor.
650 $aLand cover
650 $aSoil erosion
650 $aSoil management
650 $aVegetation
650 $aErosão do Solo
650 $aManejo do Solo
650 $aVegetação
653 $aCobertura da Terra
653 $aNDVI
700 1 $aOLIVEIRA, P. T. S.
700 1 $aANTUNES, M. A. H.
700 1 $aDURIGON, V. L.
700 1 $aFIDALGO, E. C. C.
700 1 $aCARVALHO, D. F. de
773 $tInternational Soil and Water Conservation Research$gv. 9, n. 2, p. 207-216, Jun. 2021.
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