Performance of the SSEBop model in the estimation of the actual evapotranspiration of soybean and bean crops.
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1111868 |
Resumo: | 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. |
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Performance of the SSEBop model in the estimation of the actual evapotranspiration of soybean and bean crops.Water resources managementBowen ratioRazão de BowenGerenciamento dos recurso hídricoGlycine MaxPhaseolus VulgarisSensoriamento RemotoRecurso HídricoRemote sensingThe 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.Título em português: Desempenho do modelo SSEBop na estimativa da evapotranspiração real das culturas de soja e feijão.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.PAULA, A. C. P. deSILVA, C. L. daRODRIGUES, L. N.SCHERER-WARREN, M.2019-09-05T00:52:21Z2019-09-05T00:52:21Z2019-09-0420192020-01-13T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlePesquisa Agropecuária Brasileira, v. 54, e00739, 2019.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1111868porinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2019-09-05T00:52:27Zoai:www.alice.cnptia.embrapa.br:doc/1111868Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542019-09-05T00:52:27falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542019-09-05T00:52:27Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Performance of the SSEBop model in the estimation of the actual evapotranspiration of soybean and bean crops. |
title |
Performance of the SSEBop model in the estimation of the actual evapotranspiration of soybean and bean crops. |
spellingShingle |
Performance of the SSEBop model in the estimation of the actual evapotranspiration of soybean and bean crops. PAULA, A. C. P. de Water resources management Bowen ratio Razão de Bowen Gerenciamento dos recurso hídrico Glycine Max Phaseolus Vulgaris Sensoriamento Remoto Recurso Hídrico Remote sensing |
title_short |
Performance of the SSEBop model in the estimation of the actual evapotranspiration of soybean and bean crops. |
title_full |
Performance of the SSEBop model in the estimation of the actual evapotranspiration of soybean and bean crops. |
title_fullStr |
Performance of the SSEBop model in the estimation of the actual evapotranspiration of soybean and bean crops. |
title_full_unstemmed |
Performance of the SSEBop model in the estimation of the actual evapotranspiration of soybean and bean crops. |
title_sort |
Performance of the SSEBop model in the estimation of the actual evapotranspiration of soybean and bean crops. |
author |
PAULA, A. C. P. de |
author_facet |
PAULA, A. C. P. de SILVA, C. L. da RODRIGUES, L. N. SCHERER-WARREN, M. |
author_role |
author |
author2 |
SILVA, C. L. da RODRIGUES, L. N. SCHERER-WARREN, M. |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
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. |
dc.contributor.author.fl_str_mv |
PAULA, A. C. P. de SILVA, C. L. da RODRIGUES, L. N. SCHERER-WARREN, M. |
dc.subject.por.fl_str_mv |
Water resources management Bowen ratio Razão de Bowen Gerenciamento dos recurso hídrico Glycine Max Phaseolus Vulgaris Sensoriamento Remoto Recurso Hídrico Remote sensing |
topic |
Water resources management Bowen ratio Razão de Bowen Gerenciamento dos recurso hídrico Glycine Max Phaseolus Vulgaris Sensoriamento Remoto Recurso Hídrico Remote sensing |
description |
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. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-09-05T00:52:21Z 2019-09-05T00:52:21Z 2019-09-04 2019 2020-01-13T11:11:11Z |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Pesquisa Agropecuária Brasileira, v. 54, e00739, 2019. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1111868 |
identifier_str_mv |
Pesquisa Agropecuária Brasileira, v. 54, e00739, 2019. |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1111868 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1794503479932223488 |