Energy balance model applied to pasture experimental areas in Sao Paulo State, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , , , , , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1117/12.2242043 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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Repositório Institucional da UNESP |
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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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1792961952655343616 |