Spatio-temporal variability of biophysical parameters of irrigated maize using orbital remote sensing

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dc.contributor.authorCosta, Taiara Souza
dc.contributor.authorSantos, Robson Argolo Dos
dc.contributor.authorSantos, Rosângela Leal
dc.contributor.authorFilgueiras, Roberto
dc.contributor.authorDa Cunha, Fernando França
dc.contributor.authorDe Jesus Pereira, Anderson [UNESP]
dc.contributor.authorDe Salles, Rodrigo Amaro
dc.contributor.institutionUniversidade Federal de Viçosa (UFV)
dc.contributor.institutionUEFS BA
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2021-06-25T10:31:26Z
dc.date.available2021-06-25T10:31:26Z
dc.date.issued2021-01-01
dc.description.abstractThis study proposes to estimate the actual crop evapotranspiration, using the SAFER model, as well as calculate the crop coefficient (Kc) as a function of the normalized difference vegetation index (NDVI) and determine the biomass of an irrigated maize crop using images from the Operational Land Imager (OLI) and Thermal Infrared (TIRS) sensors of the Landsat-8 satellite. Pivots 21 to 26 of a commercial farm located in the municipalities of Bom Jesus da Lapa and Serra do Ramalho, west of Bahia State, Brazil, were selected. Sowing dates for each pivot were arranged as North and South or East and West, with cultivation starting firstly in one of the orientations and subsequently in the other. The relationship between NDVI and the Kc values obtained in the FAO-56 report (KcFAO) revealed a high coefficient of determination (R2= 0.7921), showing that the variance of KcFAOcan be explained by NDVI in the maize crop. Considering the center pivots with different planting dates, the crop evapotranspiration (ETc) pixel values ranged from 0.0 to 6.0 mm d-1during the phenological cycle. The highest values were found at 199 days of the year (DOY), corresponding to around 100 days after sowing (DAS). The lowest BIO values occur at 135 DOY, at around 20 DAS. There is a relationship between ETcand BIO, where the DOY with the highest BIO are equivalent to the days with the highest ETcvalues. In addition to this relationship, BIO is strongly influenced by soil water availability.en
dc.description.affiliationUniversidade Federal de Viçosa UFV
dc.description.affiliationAgricultural Engineering UFV
dc.description.affiliationTechnology Department Universidade Estadual de Feira de Santana UEFS BA
dc.description.affiliationDepartment of Agronomic Engineering UFV
dc.description.affiliationUniversidade Estadual Paulista UNESP
dc.description.affiliationPhytotechnics UFV
dc.description.affiliationUnespUniversidade Estadual Paulista UNESP
dc.format.extent2181-2202
dc.identifierhttp://dx.doi.org/10.5433/1679-0359.2021v42n4p2181
dc.identifier.citationSemina:Ciencias Agrarias, v. 42, n. 4, p. 2181-2202, 2021.
dc.identifier.doi10.5433/1679-0359.2021v42n4p2181
dc.identifier.issn1679-0359
dc.identifier.issn1676-546X
dc.identifier.scopus2-s2.0-85106664248
dc.identifier.urihttp://hdl.handle.net/11449/206400
dc.language.isoeng
dc.relation.ispartofSemina:Ciencias Agrarias
dc.sourceScopus
dc.subjectAgrometeorological models
dc.subjectIrrigation management
dc.subjectPhenological cycle
dc.titleSpatio-temporal variability of biophysical parameters of irrigated maize using orbital remote sensingen
dc.typeArtigo

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