Gustavo Bastos Lyra
Universidade Federal Rural do Rio de Janeiro
111 Papers
276 Citations
Gustavo Bastos Lyra is an academic researcher from Universidade Federal Rural do Rio de Janeiro. The author has contributed to research in topics: Evapotranspiration & Environmental science. The author has an hindex of 17, co-authored 90 publications. Previous affiliations of Gustavo Bastos Lyra include University of São Paulo & Escola Superior de Agricultura Luiz de Queiroz.
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Papers
Gestão Semântica de Dados Meteorológicos Apoiados Por Ontologias de Proveniência
Sergio Da Cruz,Tiago Barbosa,Ednaldo Dos Santos,Gustavo Bastos Lyra +3 more
- 26 Aug 2015
TL;DR: A semantic tool and a well-founded ontology developed from UFO foundational ontology are presented to support experiments that manipulate large amounts of curated data.
Modelagem inversa para obtenção de parâmetros para a equação de richards
Fábio Freitas Ferreira,Gustavo Bastos Lyra,Marcelo de Oliveira Temperini,Antônio José da Silva Neto,Wagner Rambaldi Telles,Ranulfo Martins Carneiro Neto +5 more
- 31 Mar 2020
TL;DR: A equacao diferencial parcial parabolica nao-linear, a modelo matematico responsavel por calcular a umidade volumetrica no solo, assim como o potencial de agua no mesmo, was investigated in this article, a qual e resolvida utilizing o Metodo de Volumes Finitos.
Dinâmica espacial e temporal do uso da terra no município de seropédica, rio de janeiro, brasil
Roberto Diego Bezerra da Silva,Rafael Coll Delgado,Gustavo Bastos Lyra,José Francisco de Oliveira Júnior,Rafael de Ávila Rodrigues,Ana Carolina Cardozo,Felipe Gomes Brasileiro +6 more
TL;DR: In this article, the authors evaluated a dinâmica espaco-temporal do uso e cobertura da terra entre anos de 1990 and 2010 in Seropedica, Regiao Metropolitana do Rio de Janeiro (RMRJ).
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Using Well-Founded Provenance Ontologies to Query Meteorological Data
Thiago Silva Barbosa,Ednaldo Oliveira dos Santos,Gustavo Bastos Lyra,Sergio Manuel Serra da Cruz +3 more
- 09 Jun 2014
TL;DR: A semantic approach that uses well-founded ontologies that help meteorologists to develop SPARQL queries that navigate over high quality data and provenance metadata collected during the execution meteorological in silico experiments is presented.
Apparent thermal diffusivity of soil in ice-free areas of Keller peninsula in maritime Antarctica.
Daniela Augusto Chaves,Gustavo Bastos Lyra,Márcio Rocha Francelino,Leonardo Duarte Batista da Silva,Carlos Ernesto Gonçalves Reynaud Schaefer,André Thomazini +5 more
TL;DR: In this article , the authors analyzed the energy flux in different soil profiles by estimating the apparent soil thermal diffusivity (ATD$) and the freezing $N$-factor.