Energy balance model applied to pasture experimental areas in Sao Paulo State, Brazil

Detalhes bibliográficos
Autor(a) principal: Bayma-Silva, Gustavo
Data de Publicação: 2016
Outros Autores: Castro Teixeira, Antonio Heriberto de, Victoria, Daniel de Castro, Nogueira, Sandra Furlan, Leivas, Janice Freitas, Coaguila, Daniel N. [UNESP], Herling, Valdo Rodrigues [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/10.1117/12.2242043
http://hdl.handle.net/11449/159346
Resumo: The Simple Algorithm for Evapotranspiration Retrieving (SAFER) was used to estimate biophysical parameters and the energy balance components in two different pasture experimental areas, in the Sao Paulo state, Brazil. The experimental pastures consist in six rotational (RGS) and three continuous grazing systems (CGS) paddocks. Landsat-8 images from 2013 and 2015 dry and rainy seasons were used, as these presented similar hydrological cycle, with 1,600 mm and 1,613 mm of annual precipitation, resulting in 19 cloud-free images. Bands 1 to 7 and thermal bands 10 and 11 were used with weather data from a station located near the experimental area. NDVI, biomass, evapotranspiration and latent heat flux (lambda E) temporal values statistically differ CGS from RGS areas. Grazing systems influences the energy partition and these results indicate that RGS benefits biomass production, evapotranspiration and the microclimate, due higher LE values. SAFER is a feasible tool to estimate biophysical parameters and energy balance components in pasture and has potential to discriminate continuous and rotation grazing systems in a temporal analysis.
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spelling Energy balance model applied to pasture experimental areas in Sao Paulo State, BrazilSAFERpasturegrazing systemsbiomassevapotranspirationlatent heat fluxsensible heat fluxsoil heat fluxThe Simple Algorithm for Evapotranspiration Retrieving (SAFER) was used to estimate biophysical parameters and the energy balance components in two different pasture experimental areas, in the Sao Paulo state, Brazil. The experimental pastures consist in six rotational (RGS) and three continuous grazing systems (CGS) paddocks. Landsat-8 images from 2013 and 2015 dry and rainy seasons were used, as these presented similar hydrological cycle, with 1,600 mm and 1,613 mm of annual precipitation, resulting in 19 cloud-free images. Bands 1 to 7 and thermal bands 10 and 11 were used with weather data from a station located near the experimental area. NDVI, biomass, evapotranspiration and latent heat flux (lambda E) temporal values statistically differ CGS from RGS areas. Grazing systems influences the energy partition and these results indicate that RGS benefits biomass production, evapotranspiration and the microclimate, due higher LE values. SAFER is a feasible tool to estimate biophysical parameters and energy balance components in pasture and has potential to discriminate continuous and rotation grazing systems in a temporal analysis.Embrapa Monitoramento Satelite, Campinas, SP, BrazilEmbrapa Informat & Agr, Campinas, SP, BrazilSao Paulo State Univ, Hydraul & Irrigat Div, Ilha Solteira, SP, BrazilSao Paulo State Univ, Fac Anim Sci & Food Engn, Pirassununga, SP, BrazilSao Paulo State Univ, Hydraul & Irrigat Div, Ilha Solteira, SP, BrazilSao Paulo State Univ, Fac Anim Sci & Food Engn, Pirassununga, SP, BrazilSpie-int Soc Optical EngineeringEmpresa Brasileira de Pesquisa Agropecuária (EMBRAPA)Universidade Estadual Paulista (Unesp)Bayma-Silva, GustavoCastro Teixeira, Antonio Heriberto deVictoria, Daniel de CastroNogueira, Sandra FurlanLeivas, Janice FreitasCoaguila, Daniel N. [UNESP]Herling, Valdo Rodrigues [UNESP]Neale, CMUMaltese, A.2018-11-26T15:38:04Z2018-11-26T15:38:04Z2016-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject10application/pdfhttp://dx.doi.org/10.1117/12.2242043Remote Sensing For Agriculture, Ecosystems, And Hydrology Xviii. Bellingham: Spie-int Soc Optical Engineering, v. 9998, 10 p., 2016.0277-786Xhttp://hdl.handle.net/11449/15934610.1117/12.2242043WOS:000393152800040WOS000393152800040.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengRemote Sensing For Agriculture, Ecosystems, And Hydrology Xviiiinfo:eu-repo/semantics/openAccess2023-11-29T06:17:04Zoai:repositorio.unesp.br:11449/159346Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-11-29T06:17:04Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Energy balance model applied to pasture experimental areas in Sao Paulo State, Brazil
title Energy balance model applied to pasture experimental areas in Sao Paulo State, Brazil
spellingShingle Energy balance model applied to pasture experimental areas in Sao Paulo State, Brazil
Bayma-Silva, Gustavo
SAFER
pasture
grazing systems
biomass
evapotranspiration
latent heat flux
sensible heat flux
soil heat flux
title_short Energy balance model applied to pasture experimental areas in Sao Paulo State, Brazil
title_full Energy balance model applied to pasture experimental areas in Sao Paulo State, Brazil
title_fullStr Energy balance model applied to pasture experimental areas in Sao Paulo State, Brazil
title_full_unstemmed Energy balance model applied to pasture experimental areas in Sao Paulo State, Brazil
title_sort Energy balance model applied to pasture experimental areas in Sao Paulo State, Brazil
author Bayma-Silva, Gustavo
author_facet Bayma-Silva, Gustavo
Castro Teixeira, Antonio Heriberto de
Victoria, Daniel de Castro
Nogueira, Sandra Furlan
Leivas, Janice Freitas
Coaguila, Daniel N. [UNESP]
Herling, Valdo Rodrigues [UNESP]
Neale, CMU
Maltese, A.
author_role author
author2 Castro Teixeira, Antonio Heriberto de
Victoria, Daniel de Castro
Nogueira, Sandra Furlan
Leivas, Janice Freitas
Coaguila, Daniel N. [UNESP]
Herling, Valdo Rodrigues [UNESP]
Neale, CMU
Maltese, A.
author2_role author
author
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 Bayma-Silva, Gustavo
Castro Teixeira, Antonio Heriberto de
Victoria, Daniel de Castro
Nogueira, Sandra Furlan
Leivas, Janice Freitas
Coaguila, Daniel N. [UNESP]
Herling, Valdo Rodrigues [UNESP]
Neale, CMU
Maltese, A.
dc.subject.por.fl_str_mv SAFER
pasture
grazing systems
biomass
evapotranspiration
latent heat flux
sensible heat flux
soil heat flux
topic SAFER
pasture
grazing systems
biomass
evapotranspiration
latent heat flux
sensible heat flux
soil heat flux
description The Simple Algorithm for Evapotranspiration Retrieving (SAFER) was used to estimate biophysical parameters and the energy balance components in two different pasture experimental areas, in the Sao Paulo state, Brazil. The experimental pastures consist in six rotational (RGS) and three continuous grazing systems (CGS) paddocks. Landsat-8 images from 2013 and 2015 dry and rainy seasons were used, as these presented similar hydrological cycle, with 1,600 mm and 1,613 mm of annual precipitation, resulting in 19 cloud-free images. Bands 1 to 7 and thermal bands 10 and 11 were used with weather data from a station located near the experimental area. NDVI, biomass, evapotranspiration and latent heat flux (lambda E) temporal values statistically differ CGS from RGS areas. Grazing systems influences the energy partition and these results indicate that RGS benefits biomass production, evapotranspiration and the microclimate, due higher LE values. SAFER is a feasible tool to estimate biophysical parameters and energy balance components in pasture and has potential to discriminate continuous and rotation grazing systems in a temporal analysis.
publishDate 2016
dc.date.none.fl_str_mv 2016-01-01
2018-11-26T15:38:04Z
2018-11-26T15:38:04Z
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/10.1117/12.2242043
Remote Sensing For Agriculture, Ecosystems, And Hydrology Xviii. Bellingham: Spie-int Soc Optical Engineering, v. 9998, 10 p., 2016.
0277-786X
http://hdl.handle.net/11449/159346
10.1117/12.2242043
WOS:000393152800040
WOS000393152800040.pdf
url http://dx.doi.org/10.1117/12.2242043
http://hdl.handle.net/11449/159346
identifier_str_mv Remote Sensing For Agriculture, Ecosystems, And Hydrology Xviii. Bellingham: Spie-int Soc Optical Engineering, v. 9998, 10 p., 2016.
0277-786X
10.1117/12.2242043
WOS:000393152800040
WOS000393152800040.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Remote Sensing For Agriculture, Ecosystems, And Hydrology Xviii
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 10
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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