Evapotranspiration of sorghum from the energy balance by METRIC and STSEB

Detalhes bibliográficos
Autor(a) principal: Lima,João G. A.
Data de Publicação: 2020
Outros Autores: Sánchez,Juan M., Piqueras,José G., Espínola Sobrinho,José, Viana,Paula C., Alves,Aline da S.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662020000100024
Resumo: ABSTRACT The estimate of the actual surface evapotranspiration (ET) contributes to quantifying the water needs of crops. An alternative to the use of lysimeter for an accurate estimation of water needs, which has proved to be of great value in recent years, is the use of remote sensing combined with models based on surface energy balance. There is wide variety of models that can be classified into two types: one-source models, such as the Mapping EvapoTranspiration at high Resolution with Internalized Calibration (METRIC) algorithm, or two-source models, such as the Simplified Two-Source Energy Balance (STSEB). The objective of this study was to analyze how METRIC and STSEB can be used to estimate ET, in comparison with the lysimeter data, for the different stages of development of the sorghum crop in Apodi, RN, Brazil. The accuracy of both models in the daily ET estimation for the semi-arid conditions of the experiment, with RMSE values ​​of 0.8 and of 0.7 mm d-1 through METRIC and STSEB, respectively, is considered acceptable for irrigation management purposes. The errors obtained with METRIC at an instantaneous scale were 60, 50, 130 and 5 W m-2 for Rn, LE, H and G, respectively, on the other hand, using STSEB these errors were of 40, 70, 120 and 21 W m-2 for Rn, LE, H and G, respectively. The METRIC and STSEB models are very similar when it comes to providing information on water needs of the sorghum.
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spelling Evapotranspiration of sorghum from the energy balance by METRIC and STSEBSorghum bicolorirrigation managementremote sensingirrigationABSTRACT The estimate of the actual surface evapotranspiration (ET) contributes to quantifying the water needs of crops. An alternative to the use of lysimeter for an accurate estimation of water needs, which has proved to be of great value in recent years, is the use of remote sensing combined with models based on surface energy balance. There is wide variety of models that can be classified into two types: one-source models, such as the Mapping EvapoTranspiration at high Resolution with Internalized Calibration (METRIC) algorithm, or two-source models, such as the Simplified Two-Source Energy Balance (STSEB). The objective of this study was to analyze how METRIC and STSEB can be used to estimate ET, in comparison with the lysimeter data, for the different stages of development of the sorghum crop in Apodi, RN, Brazil. The accuracy of both models in the daily ET estimation for the semi-arid conditions of the experiment, with RMSE values ​​of 0.8 and of 0.7 mm d-1 through METRIC and STSEB, respectively, is considered acceptable for irrigation management purposes. The errors obtained with METRIC at an instantaneous scale were 60, 50, 130 and 5 W m-2 for Rn, LE, H and G, respectively, on the other hand, using STSEB these errors were of 40, 70, 120 and 21 W m-2 for Rn, LE, H and G, respectively. The METRIC and STSEB models are very similar when it comes to providing information on water needs of the sorghum.Departamento de Engenharia Agrícola - UFCG2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662020000100024Revista Brasileira de Engenharia Agrícola e Ambiental v.24 n.1 2020reponame:Revista Brasileira de Engenharia Agrícola e Ambiental (Online)instname:Universidade Federal de Campina Grande (UFCG)instacron:UFCG10.1590/1807-1929/agriambi.v24n1p24-30info:eu-repo/semantics/openAccessLima,João G. A.Sánchez,Juan M.Piqueras,José G.Espínola Sobrinho,JoséViana,Paula C.Alves,Aline da S.eng2019-12-04T00:00:00Zoai:scielo:S1415-43662020000100024Revistahttp://www.scielo.br/rbeaaPUBhttps://old.scielo.br/oai/scielo-oai.php||agriambi@agriambi.com.br1807-19291415-4366opendoar:2019-12-04T00:00Revista Brasileira de Engenharia Agrícola e Ambiental (Online) - Universidade Federal de Campina Grande (UFCG)false
dc.title.none.fl_str_mv Evapotranspiration of sorghum from the energy balance by METRIC and STSEB
title Evapotranspiration of sorghum from the energy balance by METRIC and STSEB
spellingShingle Evapotranspiration of sorghum from the energy balance by METRIC and STSEB
Lima,João G. A.
Sorghum bicolor
irrigation management
remote sensing
irrigation
title_short Evapotranspiration of sorghum from the energy balance by METRIC and STSEB
title_full Evapotranspiration of sorghum from the energy balance by METRIC and STSEB
title_fullStr Evapotranspiration of sorghum from the energy balance by METRIC and STSEB
title_full_unstemmed Evapotranspiration of sorghum from the energy balance by METRIC and STSEB
title_sort Evapotranspiration of sorghum from the energy balance by METRIC and STSEB
author Lima,João G. A.
author_facet Lima,João G. A.
Sánchez,Juan M.
Piqueras,José G.
Espínola Sobrinho,José
Viana,Paula C.
Alves,Aline da S.
author_role author
author2 Sánchez,Juan M.
Piqueras,José G.
Espínola Sobrinho,José
Viana,Paula C.
Alves,Aline da S.
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Lima,João G. A.
Sánchez,Juan M.
Piqueras,José G.
Espínola Sobrinho,José
Viana,Paula C.
Alves,Aline da S.
dc.subject.por.fl_str_mv Sorghum bicolor
irrigation management
remote sensing
irrigation
topic Sorghum bicolor
irrigation management
remote sensing
irrigation
description ABSTRACT The estimate of the actual surface evapotranspiration (ET) contributes to quantifying the water needs of crops. An alternative to the use of lysimeter for an accurate estimation of water needs, which has proved to be of great value in recent years, is the use of remote sensing combined with models based on surface energy balance. There is wide variety of models that can be classified into two types: one-source models, such as the Mapping EvapoTranspiration at high Resolution with Internalized Calibration (METRIC) algorithm, or two-source models, such as the Simplified Two-Source Energy Balance (STSEB). The objective of this study was to analyze how METRIC and STSEB can be used to estimate ET, in comparison with the lysimeter data, for the different stages of development of the sorghum crop in Apodi, RN, Brazil. The accuracy of both models in the daily ET estimation for the semi-arid conditions of the experiment, with RMSE values ​​of 0.8 and of 0.7 mm d-1 through METRIC and STSEB, respectively, is considered acceptable for irrigation management purposes. The errors obtained with METRIC at an instantaneous scale were 60, 50, 130 and 5 W m-2 for Rn, LE, H and G, respectively, on the other hand, using STSEB these errors were of 40, 70, 120 and 21 W m-2 for Rn, LE, H and G, respectively. The METRIC and STSEB models are very similar when it comes to providing information on water needs of the sorghum.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1807-1929/agriambi.v24n1p24-30
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dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Departamento de Engenharia Agrícola - UFCG
publisher.none.fl_str_mv Departamento de Engenharia Agrícola - UFCG
dc.source.none.fl_str_mv Revista Brasileira de Engenharia Agrícola e Ambiental v.24 n.1 2020
reponame:Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
instname:Universidade Federal de Campina Grande (UFCG)
instacron:UFCG
instname_str Universidade Federal de Campina Grande (UFCG)
instacron_str UFCG
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reponame_str Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
collection Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
repository.name.fl_str_mv Revista Brasileira de Engenharia Agrícola e Ambiental (Online) - Universidade Federal de Campina Grande (UFCG)
repository.mail.fl_str_mv ||agriambi@agriambi.com.br
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