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Registro Completo |
Biblioteca(s): |
Embrapa Cerrados; Embrapa Unidades Centrais. |
Data corrente: |
17/06/2019 |
Data da última atualização: |
13/01/2020 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
PAULA, A. C. P. de; SILVA, C. L. da; RODRIGUES, L. N.; SCHERER-WARREN, M. |
Afiliação: |
Adriano Cesar Pereira de Paula, Universidade de Brasília - UnB/Faculdade de Agronomia e Medicina e Veterinária; Cícero Lopes da Silva, Universidade de Brasília - UnB/Faculdade de Agronomia e Medicina Veterinária; LINEU NEIVA RODRIGUES, CPAC; Morris Scherer-Warren, Agência Nacional de Águas - ANA. |
Título: |
Performance of the SSEBop model in the estimation of the actual evapotranspiration of soybean and bean crops. |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
Pesquisa Agropecuária Brasileira, v. 54, e00739, 2019. |
Idioma: |
Português |
Notas: |
Título em português: Desempenho do modelo SSEBop na estimativa da evapotranspiração real das culturas de soja e feijão. |
Conteúdo: |
The objective of this work was to evaluate the performance of the operational simplified surface energy balance (SSEBop) model in the estimation of the actual evapotranspiration (ETa) of soybean and bean crops irrigated by a central pivot. The model estimates were obtained from digital images of the Landsat 7 and Landsat 8 satellites, and were compared with the ETa obtained by the Bowen ratio method. The model was evaluated by the refined agreement index (dr), root mean square error (RMSE), and
mean bias error (MBE). The model?s performance in the estimation of the ETa was classified by the performance index (Pi). The relationship between the estimates of the model and the Bowen ratio method showed correlation (r=0.94) and agreement (dr=0.82), with a mean square error of 0.62 mm per day and a mean bias error of 0.04 mm per day. The estimate perfomance of the SSEBop model in comparison with the Bowen ratio method, was classified as optimal (Pi=0.77), proving the SSEBop usability and precision to estimate ETa for irrigated crops, such as soybean and bean. |
Palavras-Chave: |
Bowen ratio; Gerenciamento dos recurso hídrico; Razão de Bowen; Water resources management. |
Thesagro: |
Glycine Max; Phaseolus Vulgaris; Recurso Hídrico; Sensoriamento Remoto. |
Thesaurus Nal: |
Remote sensing. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/201553/1/Lineu-Performance-of-the-SSEBop.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/198618/1/Performance-of-the-SSEBop-model.pdf
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Marc: |
LEADER 02044naa a2200277 a 4500 001 2111868 005 2020-01-13 008 2019 bl uuuu u00u1 u #d 100 1 $aPAULA, A. C. P. de 245 $aPerformance of the SSEBop model in the estimation of the actual evapotranspiration of soybean and bean crops.$h[electronic resource] 260 $c2019 500 $aTítulo em português: Desempenho do modelo SSEBop na estimativa da evapotranspiração real das culturas de soja e feijão. 520 $aThe objective of this work was to evaluate the performance of the operational simplified surface energy balance (SSEBop) model in the estimation of the actual evapotranspiration (ETa) of soybean and bean crops irrigated by a central pivot. The model estimates were obtained from digital images of the Landsat 7 and Landsat 8 satellites, and were compared with the ETa obtained by the Bowen ratio method. The model was evaluated by the refined agreement index (dr), root mean square error (RMSE), and mean bias error (MBE). The model?s performance in the estimation of the ETa was classified by the performance index (Pi). The relationship between the estimates of the model and the Bowen ratio method showed correlation (r=0.94) and agreement (dr=0.82), with a mean square error of 0.62 mm per day and a mean bias error of 0.04 mm per day. The estimate perfomance of the SSEBop model in comparison with the Bowen ratio method, was classified as optimal (Pi=0.77), proving the SSEBop usability and precision to estimate ETa for irrigated crops, such as soybean and bean. 650 $aRemote sensing 650 $aGlycine Max 650 $aPhaseolus Vulgaris 650 $aRecurso Hídrico 650 $aSensoriamento Remoto 653 $aBowen ratio 653 $aGerenciamento dos recurso hídrico 653 $aRazão de Bowen 653 $aWater resources management 700 1 $aSILVA, C. L. da 700 1 $aRODRIGUES, L. N. 700 1 $aSCHERER-WARREN, M. 773 $tPesquisa Agropecuária Brasileira$gv. 54, e00739, 2019.
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