Energy balance with Landsat images in irrigated central pivots with corn crop in the Sao Paulo State, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , , , , , |
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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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 |
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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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1808129546537402368 |