Modelling radiation and energy balances with Landsat 8 images under different thermohydrological conditions in the Brazilian semi-arid region
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1117/12.2195044 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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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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1808129368251170816 |