Modelling radiation and energy balances with Landsat 8 images under different thermohydrological conditions in the Brazilian semi-arid region

Detalhes bibliográficos
Autor(a) principal: Teixeira, Antonio H. de C.
Data de Publicação: 2015
Outros Autores: Leivas, Janice F., Andrade, Ricardo G., Hernandez, Fernando B. T. [UNESP], Momesso, Franco R. A. [UNESP], 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/10.1117/12.2195044
http://hdl.handle.net/11449/158644
Resumo: Four Landsat 8 images were used together with a net of seven agro-meteorological stations for modelling the large-scale radiation and energy balances in the mixed agro-ecosystems inside a semi-arid area composed by irrigated crops and natural vegetation of the Petrolina municipality, Northeast Brazil, along the year 2014. The SAFER algorithm was used to calculate the latent heat flux (lambda E), net radiation (R-n) was acquired by the Slob equation, ground heat flux (G) was considered as a fraction of R-n and the sensible flux (H) was retrieved by residue in the energy balance equation. For classifying the vegetation into irrigated crops and natural vegetation, the SUREAL algorithm was applied to determine the surface resistance (r(s)) and threshold values for r(s) were used to characterize the energy fluxes from these types of vegetated surfaces. Clearly one could see higher lambda E from irrigated crops than from natural vegetation with some situations of heat horizontal advection increasing its values until 23% times larger than R-n, with respective average lambda E ranges of 5.7 (64% of R-n) to 7.9 (79% of R-n) and 0.4 (4% of R-n) to 4.3 (37% of R-n) MJ m(-2) d(-1). The corresponding H mean values were from 1.8 (18% of R-n) to 3.2 (28% of R-n) and 5.4 (60% of R-n) to 9.2 (94% of R-n) MJ m(-2) d(-1). Average G pixel values ranged from 0.3 to 0.4 MJ m(-2) d(-1), representing 3 and 4% of R-n for natural vegetation and irrigated crops, respectively.
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spelling Modelling radiation and energy balances with Landsat 8 images under different thermohydrological conditions in the Brazilian semi-arid regionnet radiationlatent heat fluxsensible heat fluxsoil heat fluxenergy partitionFour Landsat 8 images were used together with a net of seven agro-meteorological stations for modelling the large-scale radiation and energy balances in the mixed agro-ecosystems inside a semi-arid area composed by irrigated crops and natural vegetation of the Petrolina municipality, Northeast Brazil, along the year 2014. The SAFER algorithm was used to calculate the latent heat flux (lambda E), net radiation (R-n) was acquired by the Slob equation, ground heat flux (G) was considered as a fraction of R-n and the sensible flux (H) was retrieved by residue in the energy balance equation. For classifying the vegetation into irrigated crops and natural vegetation, the SUREAL algorithm was applied to determine the surface resistance (r(s)) and threshold values for r(s) were used to characterize the energy fluxes from these types of vegetated surfaces. Clearly one could see higher lambda E from irrigated crops than from natural vegetation with some situations of heat horizontal advection increasing its values until 23% times larger than R-n, with respective average lambda E ranges of 5.7 (64% of R-n) to 7.9 (79% of R-n) and 0.4 (4% of R-n) to 4.3 (37% of R-n) MJ m(-2) d(-1). The corresponding H mean values were from 1.8 (18% of R-n) to 3.2 (28% of R-n) and 5.4 (60% of R-n) to 9.2 (94% of R-n) MJ m(-2) d(-1). Average G pixel values ranged from 0.3 to 0.4 MJ m(-2) d(-1), representing 3 and 4% of R-n for natural vegetation and irrigated crops, respectively.Embrapa Satellite Monitoring, Sao Paulo, 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)Teixeira, Antonio H. de C.Leivas, Janice F.Andrade, Ricardo G.Hernandez, Fernando B. T. [UNESP]Momesso, Franco R. A. [UNESP]Neale, CMUMaltese, A.2018-11-26T15:28:27Z2018-11-26T15:28:27Z2015-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject14application/pdfhttp://dx.doi.org/10.1117/12.2195044Remote Sensing For Agriculture, Ecosystems, And Hydrology Xvii. Bellingham: Spie-int Soc Optical Engineering, v. 9637, 14 p., 2015.0277-786Xhttp://hdl.handle.net/11449/15864410.1117/12.2195044WOS:000367321800016WOS000367321800016.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengRemote Sensing For Agriculture, Ecosystems, And Hydrology Xviiinfo:eu-repo/semantics/openAccess2024-01-01T06:21:58Zoai:repositorio.unesp.br:11449/158644Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:52:27.658071Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Modelling radiation and energy balances with Landsat 8 images under different thermohydrological conditions in the Brazilian semi-arid region
title Modelling radiation and energy balances with Landsat 8 images under different thermohydrological conditions in the Brazilian semi-arid region
spellingShingle Modelling radiation and energy balances with Landsat 8 images under different thermohydrological conditions in the Brazilian semi-arid region
Teixeira, Antonio H. de C.
net radiation
latent heat flux
sensible heat flux
soil heat flux
energy partition
title_short Modelling radiation and energy balances with Landsat 8 images under different thermohydrological conditions in the Brazilian semi-arid region
title_full Modelling radiation and energy balances with Landsat 8 images under different thermohydrological conditions in the Brazilian semi-arid region
title_fullStr Modelling radiation and energy balances with Landsat 8 images under different thermohydrological conditions in the Brazilian semi-arid region
title_full_unstemmed Modelling radiation and energy balances with Landsat 8 images under different thermohydrological conditions in the Brazilian semi-arid region
title_sort Modelling radiation and energy balances with Landsat 8 images under different thermohydrological conditions in the Brazilian semi-arid region
author Teixeira, Antonio H. de C.
author_facet Teixeira, Antonio H. de C.
Leivas, Janice F.
Andrade, Ricardo G.
Hernandez, Fernando B. T. [UNESP]
Momesso, Franco R. A. [UNESP]
Neale, CMU
Maltese, A.
author_role author
author2 Leivas, Janice F.
Andrade, Ricardo G.
Hernandez, Fernando B. T. [UNESP]
Momesso, Franco R. A. [UNESP]
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 Teixeira, Antonio H. de C.
Leivas, Janice F.
Andrade, Ricardo G.
Hernandez, Fernando B. T. [UNESP]
Momesso, Franco R. A. [UNESP]
Neale, CMU
Maltese, A.
dc.subject.por.fl_str_mv net radiation
latent heat flux
sensible heat flux
soil heat flux
energy partition
topic net radiation
latent heat flux
sensible heat flux
soil heat flux
energy partition
description Four Landsat 8 images were used together with a net of seven agro-meteorological stations for modelling the large-scale radiation and energy balances in the mixed agro-ecosystems inside a semi-arid area composed by irrigated crops and natural vegetation of the Petrolina municipality, Northeast Brazil, along the year 2014. The SAFER algorithm was used to calculate the latent heat flux (lambda E), net radiation (R-n) was acquired by the Slob equation, ground heat flux (G) was considered as a fraction of R-n and the sensible flux (H) was retrieved by residue in the energy balance equation. For classifying the vegetation into irrigated crops and natural vegetation, the SUREAL algorithm was applied to determine the surface resistance (r(s)) and threshold values for r(s) were used to characterize the energy fluxes from these types of vegetated surfaces. Clearly one could see higher lambda E from irrigated crops than from natural vegetation with some situations of heat horizontal advection increasing its values until 23% times larger than R-n, with respective average lambda E ranges of 5.7 (64% of R-n) to 7.9 (79% of R-n) and 0.4 (4% of R-n) to 4.3 (37% of R-n) MJ m(-2) d(-1). The corresponding H mean values were from 1.8 (18% of R-n) to 3.2 (28% of R-n) and 5.4 (60% of R-n) to 9.2 (94% of R-n) MJ m(-2) d(-1). Average G pixel values ranged from 0.3 to 0.4 MJ m(-2) d(-1), representing 3 and 4% of R-n for natural vegetation and irrigated crops, respectively.
publishDate 2015
dc.date.none.fl_str_mv 2015-01-01
2018-11-26T15:28:27Z
2018-11-26T15:28:27Z
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/10.1117/12.2195044
Remote Sensing For Agriculture, Ecosystems, And Hydrology Xvii. Bellingham: Spie-int Soc Optical Engineering, v. 9637, 14 p., 2015.
0277-786X
http://hdl.handle.net/11449/158644
10.1117/12.2195044
WOS:000367321800016
WOS000367321800016.pdf
url http://dx.doi.org/10.1117/12.2195044
http://hdl.handle.net/11449/158644
identifier_str_mv Remote Sensing For Agriculture, Ecosystems, And Hydrology Xvii. Bellingham: Spie-int Soc Optical Engineering, v. 9637, 14 p., 2015.
0277-786X
10.1117/12.2195044
WOS:000367321800016
WOS000367321800016.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Remote Sensing For Agriculture, Ecosystems, And Hydrology Xvii
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 14
application/pdf
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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