A spectral agrometeorological model for estimating soybean grain productivity in Mato Grosso, Brazil

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MetadadosDescriçãoIdioma
Autor(es): dc.creatorSarmiento, Christiany Mattioli-
Autor(es): dc.creatorColtri, Priscila Pereira-
Autor(es): dc.creatorAlves, Marcelo de Carvalho-
Autor(es): dc.creatorCarvalho, Luiz Gonsaga de-
Data de aceite: dc.date.accessioned2026-02-09T11:41:42Z-
Data de disponibilização: dc.date.available2026-02-09T11:41:42Z-
Data de envio: dc.date.issued2020-09-03-
Data de envio: dc.date.issued2020-09-03-
Data de envio: dc.date.issued2020-06-
Fonte completa do material: dc.identifierhttps://repositorio.ufla.br/handle/1/42839-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1145380-
Descrição: dc.descriptionThis study used spectral data integrated with the agrometeorological model by Doorenbos and Kassam to estimate soybean grain productivity in the state of Mato Grosso, Brazil. In the developed model, spectral data were used instead of meteorological data and biophysical parameters of the crop. For this purpose, the products of real and potential evapotranspiration (MOD16), normalized difference vegetation index – NDVI (MOD13Q1), and leaf area index (MOD15A2H) from the MODIS satellite were used, in addition to sunstroke data obtained by using the visible channel from the satellite GOES IMAGER. The results obtained showed that, with the proposed methodology, it was possible to follow the development of soybean cultivation throughout the cycle and to estimate production and productivity in the study area. Willmott's agreement index was 0.99 and 0.96 and Pearson's correlation coefficient was 0.99 and 0.84 for production and productivity, respectively.-
Formato: dc.formatapplication/pdf-
Idioma: dc.languageen-
Publicador: dc.publisherAssociação Brasileira de Engenharia Agrícola-
Direitos: dc.rightsacesso aberto-
Direitos: dc.rightshttp://creativecommons.org/licenses/by/4.0/-
Direitos: dc.rightshttp://creativecommons.org/licenses/by/4.0/-
???dc.source???: dc.sourceEngenharia Agrícola-
Palavras-chave: dc.subjectGeographic information system-
Palavras-chave: dc.subjectMathematical modeling-
Palavras-chave: dc.subjectRemote sensing-
Palavras-chave: dc.subjectAgrometeorology-
Palavras-chave: dc.subjectCrop monitoring-
Palavras-chave: dc.subjectSistema de informação geográfica-
Palavras-chave: dc.subjectModelagem matemática-
Palavras-chave: dc.subjectSensoriamento remoto-
Palavras-chave: dc.subjectAgrometeorologia-
Palavras-chave: dc.subjectMonitoramento de safra-
Palavras-chave: dc.subjectSoja - Produtividade-
Título: dc.titleA spectral agrometeorological model for estimating soybean grain productivity in Mato Grosso, Brazil-
Tipo de arquivo: dc.typeArtigo-
Aparece nas coleções:Repositório Institucional da Universidade Federal de Lavras (RIUFLA)

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