Energy balance with Landsat images in irrigated central pivots with corn crop in the Sao Paulo State, Brazil

Detalhes bibliográficos
Autor(a) principal: C. Teixeira, Antoio H. de
Data de Publicação: 2014
Outros Autores: Hernandez, Fernando B. T. [UNESP], Andrade, Ricardo G., Leivas, Janice F., Bolfe, Edson L., Neale, CMU, Maltese, A.
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1117/12.2067090
http://hdl.handle.net/11449/183923
Resumo: The energy balance (EB) components were quantified in a commercial farm with corn crop, irrigated by central pivots, in the Northwestern side of Sao Paulo state, Southeast Brazil. The SAFER (Simple Algorithm For Evapotranspiration Retrieving) was applied to retrieve the latent heat flux (lambda E), considering six pivots, covering irrigated areas from 74 to 108 ha. With lambda E quantified and considering soil heat flux (G) as a fraction of net radiation (R-n), the sensible heat flux (H) was acquired as a residual in the energy balance equation. Seven Landsat satellite images, covering all corn crop stages from 23 April 2010 to 29 August 2010, allowed relating the energy balance components according to the accumulated degree-days (DDac) from the planting to harvest dates. The average R-n values ranging from 5.2 to 7.2 MJ m(-2) day(-1), represented 30 to 45% of global solar radiation (R-G). Considering the variation of the energy balance components along the corn crop growing seasons, the average ranges for lambda E, H and G were respectively 0.0 to 6.4 MJ m(-2) day(-1), -1.5 to 6.7 MJ m(-2) day(-1) and 0.1 to 0.6 MJ m(-2) day(-1). The fraction of the available energy (R-n - G) used as lambda E was from 0.0 to 1.3 indicated a good irrigation management, insuring that the water deficit could not be the reason of any yield reduction. Although R-n did not reflected well the crop stages, its partition strongly depended on these stages. lambda E higher than R-n and the negative H/R-n, happened sometimes along the corn growing seasons. This occurred after the vegetative growth and before the harvest times, indicating heat advection from the surrounding areas to the irrigation pivots, which represented an additional energy source for the evaporative process. The models applied here with only the visible and infrared bands of the Landsat sensor are very useful for the energy balance analyses, considering the size of the corn crop irrigation pivots in Southeast Brazil, when subsidizing a rational irrigation water application in corn crop.
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spelling Energy balance with Landsat images in irrigated central pivots with corn crop in the Sao Paulo State, Brazilnet radiationlatent heat fluxsensible heat fluxsoil heat fluxThe energy balance (EB) components were quantified in a commercial farm with corn crop, irrigated by central pivots, in the Northwestern side of Sao Paulo state, Southeast Brazil. The SAFER (Simple Algorithm For Evapotranspiration Retrieving) was applied to retrieve the latent heat flux (lambda E), considering six pivots, covering irrigated areas from 74 to 108 ha. With lambda E quantified and considering soil heat flux (G) as a fraction of net radiation (R-n), the sensible heat flux (H) was acquired as a residual in the energy balance equation. Seven Landsat satellite images, covering all corn crop stages from 23 April 2010 to 29 August 2010, allowed relating the energy balance components according to the accumulated degree-days (DDac) from the planting to harvest dates. The average R-n values ranging from 5.2 to 7.2 MJ m(-2) day(-1), represented 30 to 45% of global solar radiation (R-G). Considering the variation of the energy balance components along the corn crop growing seasons, the average ranges for lambda E, H and G were respectively 0.0 to 6.4 MJ m(-2) day(-1), -1.5 to 6.7 MJ m(-2) day(-1) and 0.1 to 0.6 MJ m(-2) day(-1). The fraction of the available energy (R-n - G) used as lambda E was from 0.0 to 1.3 indicated a good irrigation management, insuring that the water deficit could not be the reason of any yield reduction. Although R-n did not reflected well the crop stages, its partition strongly depended on these stages. lambda E higher than R-n and the negative H/R-n, happened sometimes along the corn growing seasons. This occurred after the vegetative growth and before the harvest times, indicating heat advection from the surrounding areas to the irrigation pivots, which represented an additional energy source for the evaporative process. The models applied here with only the visible and infrared bands of the Landsat sensor are very useful for the energy balance analyses, considering the size of the corn crop irrigation pivots in Southeast Brazil, when subsidizing a rational irrigation water application in corn crop.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Brazilian Ministry of AgricultureEmbrapa Satellite Monitoring, Campinas, SP, BrazilSao Paulo State Univ, Sao Paulo, BrazilSao Paulo State Univ, Sao Paulo, BrazilSpie-int Soc Optical EngineeringEmpresa Brasileira de Pesquisa Agropecuária (EMBRAPA)Universidade Estadual Paulista (Unesp)C. Teixeira, Antoio H. deHernandez, Fernando B. T. [UNESP]Andrade, Ricardo G.Leivas, Janice F.Bolfe, Edson L.Neale, CMUMaltese, A.2019-10-03T18:18:22Z2019-10-03T18:18:22Z2014-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject10http://dx.doi.org/10.1117/12.2067090Remote Sensing For Agriculture, Ecosystems, And Hydrology Xvi. Bellingham: Spie-int Soc Optical Engineering, v. 9239, 10 p., 2014.0277-786Xhttp://hdl.handle.net/11449/18392310.1117/12.2067090WOS:000348312800017Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengRemote Sensing For Agriculture, Ecosystems, And Hydrology Xviinfo:eu-repo/semantics/openAccess2022-03-06T22:17:03Zoai:repositorio.unesp.br:11449/183923Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T23:43:28.924790Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Energy balance with Landsat images in irrigated central pivots with corn crop in the Sao Paulo State, Brazil
title Energy balance with Landsat images in irrigated central pivots with corn crop in the Sao Paulo State, Brazil
spellingShingle Energy balance with Landsat images in irrigated central pivots with corn crop in the Sao Paulo State, Brazil
C. Teixeira, Antoio H. de
net radiation
latent heat flux
sensible heat flux
soil heat flux
title_short Energy balance with Landsat images in irrigated central pivots with corn crop in the Sao Paulo State, Brazil
title_full Energy balance with Landsat images in irrigated central pivots with corn crop in the Sao Paulo State, Brazil
title_fullStr Energy balance with Landsat images in irrigated central pivots with corn crop in the Sao Paulo State, Brazil
title_full_unstemmed Energy balance with Landsat images in irrigated central pivots with corn crop in the Sao Paulo State, Brazil
title_sort Energy balance with Landsat images in irrigated central pivots with corn crop in the Sao Paulo State, Brazil
author C. Teixeira, Antoio H. de
author_facet C. Teixeira, Antoio H. de
Hernandez, Fernando B. T. [UNESP]
Andrade, Ricardo G.
Leivas, Janice F.
Bolfe, Edson L.
Neale, CMU
Maltese, A.
author_role author
author2 Hernandez, Fernando B. T. [UNESP]
Andrade, Ricardo G.
Leivas, Janice F.
Bolfe, Edson L.
Neale, CMU
Maltese, A.
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv C. Teixeira, Antoio H. de
Hernandez, Fernando B. T. [UNESP]
Andrade, Ricardo G.
Leivas, Janice F.
Bolfe, Edson L.
Neale, CMU
Maltese, A.
dc.subject.por.fl_str_mv net radiation
latent heat flux
sensible heat flux
soil heat flux
topic net radiation
latent heat flux
sensible heat flux
soil heat flux
description The energy balance (EB) components were quantified in a commercial farm with corn crop, irrigated by central pivots, in the Northwestern side of Sao Paulo state, Southeast Brazil. The SAFER (Simple Algorithm For Evapotranspiration Retrieving) was applied to retrieve the latent heat flux (lambda E), considering six pivots, covering irrigated areas from 74 to 108 ha. With lambda E quantified and considering soil heat flux (G) as a fraction of net radiation (R-n), the sensible heat flux (H) was acquired as a residual in the energy balance equation. Seven Landsat satellite images, covering all corn crop stages from 23 April 2010 to 29 August 2010, allowed relating the energy balance components according to the accumulated degree-days (DDac) from the planting to harvest dates. The average R-n values ranging from 5.2 to 7.2 MJ m(-2) day(-1), represented 30 to 45% of global solar radiation (R-G). Considering the variation of the energy balance components along the corn crop growing seasons, the average ranges for lambda E, H and G were respectively 0.0 to 6.4 MJ m(-2) day(-1), -1.5 to 6.7 MJ m(-2) day(-1) and 0.1 to 0.6 MJ m(-2) day(-1). The fraction of the available energy (R-n - G) used as lambda E was from 0.0 to 1.3 indicated a good irrigation management, insuring that the water deficit could not be the reason of any yield reduction. Although R-n did not reflected well the crop stages, its partition strongly depended on these stages. lambda E higher than R-n and the negative H/R-n, happened sometimes along the corn growing seasons. This occurred after the vegetative growth and before the harvest times, indicating heat advection from the surrounding areas to the irrigation pivots, which represented an additional energy source for the evaporative process. The models applied here with only the visible and infrared bands of the Landsat sensor are very useful for the energy balance analyses, considering the size of the corn crop irrigation pivots in Southeast Brazil, when subsidizing a rational irrigation water application in corn crop.
publishDate 2014
dc.date.none.fl_str_mv 2014-01-01
2019-10-03T18:18:22Z
2019-10-03T18:18:22Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1117/12.2067090
Remote Sensing For Agriculture, Ecosystems, And Hydrology Xvi. Bellingham: Spie-int Soc Optical Engineering, v. 9239, 10 p., 2014.
0277-786X
http://hdl.handle.net/11449/183923
10.1117/12.2067090
WOS:000348312800017
url http://dx.doi.org/10.1117/12.2067090
http://hdl.handle.net/11449/183923
identifier_str_mv Remote Sensing For Agriculture, Ecosystems, And Hydrology Xvi. Bellingham: Spie-int Soc Optical Engineering, v. 9239, 10 p., 2014.
0277-786X
10.1117/12.2067090
WOS:000348312800017
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Remote Sensing For Agriculture, Ecosystems, And Hydrology Xvi
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 10
dc.publisher.none.fl_str_mv Spie-int Soc Optical Engineering
publisher.none.fl_str_mv Spie-int Soc Optical Engineering
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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