Water productivity mapping using Landsat 8 satellite together with weather stations

dc.contributor.authorFranco, Renato A. M. [UNESP]
dc.contributor.authorHernandez, Fernando B. T. [UNESP]
dc.contributor.authorTeixeira, Antonio H. de C.
dc.contributor.authorLeivas, Janice Freitas
dc.contributor.authorCoaguila, Daniel Noe [UNESP]
dc.contributor.authorNeale, Christopher M.
dc.contributor.authorNeale, CMU
dc.contributor.authorMaltese, A.
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionEmpresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
dc.contributor.institutionUniv Nebraska
dc.date.accessioned2018-11-26T15:38:05Z
dc.date.available2018-11-26T15:38:05Z
dc.date.issued2016-01-01
dc.description.abstractThe use of remote sensing satellite in conjunction with models and meteorological data enable the mapping of biophysical properties of agroecosystems with satisfactory accuracy. The main goal of this research was to determine the spatial-temporal agro-ecological indicators of water productivity in watersheds with different types of land use and occupation, using Landsat 8 images, agro-meteorological stations and application of Monteith and SAFER (Simple Algorithm for Retrieving Evapotranspiration) models to estimate the production biomass (BIO) and the actual evapotranspiration (ET), respectively. Incident global solar radiation (RS down arrow) is observed seasonality of radiation during the year. Higher RS down arrow levels happen during the first and the last four months, when the Sun is around its zenith positions in the study region. During the natural dry period in the region, the RS down arrow is lower because winter solstice time for the Southern Hemisphere, this condition it is veri fied the reducing in the values of ET and BIO. Average values of biophysical properties for the study period were 0.54, 0.16 and 301 K for Normalized Difference Vegetation Index, albedo and surface temperature, respectively. The highest value of BIO was 105 kg ha(-1) d(-1) and occurred in July 2013. The lowest value was 15.9 kg ha(-1) d(-1) and occurred in October 2014. ET showed a value of 1.65 mm d(-1) in the rainy period and 0.64 during the dry period in the study area. The highest average ET occurred in the irrigated area (June 2014), with a value of 1.89 mm d(-1) and a maximum of 2.46 mm d(-1). WP average for the evaluated period was 3.06 Kg m(-3), with the largest value of 4.91 Kg m(-3) in June 2013 and a minimum value of 2.45 Kg m(-3) in September 2013.en
dc.description.affiliationSao Paulo State Univ, Ilha Solteira, Brazil
dc.description.affiliationEmbrapa Satellite Monitoring, Campinas, SP, Brazil
dc.description.affiliationUniv Nebraska, Water Food Global Inst, Lincoln, NE USA
dc.description.affiliationUnespSao Paulo State Univ, Ilha Solteira, Brazil
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.format.extent12
dc.identifierhttp://dx.doi.org/10.1117/12.2242003
dc.identifier.citationRemote Sensing For Agriculture, Ecosystems, And Hydrology Xviii. Bellingham: Spie-int Soc Optical Engineering, v. 9998, 12 p., 2016.
dc.identifier.doi10.1117/12.2242003
dc.identifier.fileWOS000393152800044.pdf
dc.identifier.issn0277-786X
dc.identifier.urihttp://hdl.handle.net/11449/159348
dc.identifier.wosWOS:000393152800044
dc.language.isoeng
dc.publisherSpie-int Soc Optical Engineering
dc.relation.ispartofRemote Sensing For Agriculture, Ecosystems, And Hydrology Xviii
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.subjectwater productivity
dc.subjectproduction biomass
dc.subjectevapotranspiration
dc.subjectSAFER
dc.titleWater productivity mapping using Landsat 8 satellite together with weather stationsen
dc.typeTrabalho apresentado em evento
dcterms.rightsHolderSpie-int Soc Optical Engineering
unesp.author.lattes7276242706611764[2]
unesp.author.orcid0000-0001-9241-243X[2]

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