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

dc.contributor.authorBayma-Silva, Gustavo
dc.contributor.authorCastro Teixeira, Antonio Heriberto de
dc.contributor.authorVictoria, Daniel de Castro
dc.contributor.authorNogueira, Sandra Furlan
dc.contributor.authorLeivas, Janice Freitas
dc.contributor.authorCoaguila, Daniel N. [UNESP]
dc.contributor.authorHerling, Valdo Rodrigues [UNESP]
dc.contributor.authorNeale, CMU
dc.contributor.authorMaltese, A.
dc.contributor.institutionEmpresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2018-11-26T15:38:04Z
dc.date.available2018-11-26T15:38:04Z
dc.date.issued2016-01-01
dc.description.abstractThe 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.en
dc.description.affiliationEmbrapa Monitoramento Satelite, Campinas, SP, Brazil
dc.description.affiliationEmbrapa Informat & Agr, Campinas, SP, Brazil
dc.description.affiliationSao Paulo State Univ, Hydraul & Irrigat Div, Ilha Solteira, SP, Brazil
dc.description.affiliationSao Paulo State Univ, Fac Anim Sci & Food Engn, Pirassununga, SP, Brazil
dc.description.affiliationUnespSao Paulo State Univ, Hydraul & Irrigat Div, Ilha Solteira, SP, Brazil
dc.description.affiliationUnespSao Paulo State Univ, Fac Anim Sci & Food Engn, Pirassununga, SP, Brazil
dc.format.extent10
dc.identifierhttp://dx.doi.org/10.1117/12.2242043
dc.identifier.citationRemote Sensing For Agriculture, Ecosystems, And Hydrology Xviii. Bellingham: Spie-int Soc Optical Engineering, v. 9998, 10 p., 2016.
dc.identifier.doi10.1117/12.2242043
dc.identifier.fileWOS000393152800040.pdf
dc.identifier.issn0277-786X
dc.identifier.urihttp://hdl.handle.net/11449/159346
dc.identifier.wosWOS:000393152800040
dc.language.isoeng
dc.publisherSpie-int Soc Optical Engineering
dc.relation.ispartofRemote Sensing For Agriculture, Ecosystems, And Hydrology Xviii
dc.rights.accessRightsAcesso abertopt
dc.sourceWeb of Science
dc.subjectSAFER
dc.subjectpasture
dc.subjectgrazing systems
dc.subjectbiomass
dc.subjectevapotranspiration
dc.subjectlatent heat flux
dc.subjectsensible heat flux
dc.subjectsoil heat flux
dc.titleEnergy balance model applied to pasture experimental areas in Sao Paulo State, Brazilen
dc.typeTrabalho apresentado em eventopt
dcterms.rightsHolderSpie-int Soc Optical Engineering
dspace.entity.typePublication
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Engenharia, Ilha Solteirapt

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