EVAPOTRANSPIRAÇÃO E COEFICIENTE DE CULTURA DO CAFEEIRO IRRIGADO A PARTIR DE IMAGENS DE SENSORES ORBITAIS

Authors

  • THALLES LOIOLA DIAS
  • Alex PORTO RODRIGUES
  • MILLER RAIK ARCANJO BATISTA
  • Marcelo Rossi Vicente Instituto Federal de Ensino, Ciência e Tecnologia do Norte de Minas Gerais - campus Salinas
  • RONALDO MEDEIROS DOS SANTOS

DOI:

https://doi.org/10.15809/irriga.2019v1n1p31-37

Abstract

The use of remote sensing in agriculture is a reality. Among the various uses, the determination of crop evapotranspiration to aid the irrigation management process is detached. The present work aimed to determine the evapotranspiration and the crop coefficient of coffee through the Surface Energy Balance Algorithm for Land (SEBAL) in western Bahia. LANDSAT 7 satellite images were used to perform the study. The reference evapotranspiration was estimated by the FAO Penman-Monteith method and subsequently the crop coefficient (Kc) was calculated based on the evapotranspiration obtained by SEBAL. The statistical indexes for evaluating the effectiveness of the SEBAL model were the root mean square error (RMSE), the mean absolute error (MAE), the coefficient of determination (R²) and the relative error (RE). The SEBAL model proved to be efficient in determining coffee crop evapotranspiration and crop coefficient.

Author Biography

Marcelo Rossi Vicente, Instituto Federal de Ensino, Ciência e Tecnologia do Norte de Minas Gerais - campus Salinas

Possui graduação em Agronomia (2001), mestrado (2005) e doutorado em Engenharia Agrícola (2010), na área de concentração em Recursos Hídricos e Ambientais, pela Universidade Federal de Viçosa. Atualmente é Professor no Instituto Federal do Norte de Minas Gerais - Campus Salinas. Coordena do Grupo de Pesquisa em Recursos Hídricos e Meio Ambiente dos Vales (HidroVales).

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Published

2019-10-30

How to Cite

LOIOLA DIAS, T.; PORTO RODRIGUES, A.; RAIK ARCANJO BATISTA, M.; VICENTE, M. R.; MEDEIROS DOS SANTOS, R. EVAPOTRANSPIRAÇÃO E COEFICIENTE DE CULTURA DO CAFEEIRO IRRIGADO A PARTIR DE IMAGENS DE SENSORES ORBITAIS. IRRIGA, [S. l.], v. 1, n. 1, p. 31–37, 2019. DOI: 10.15809/irriga.2019v1n1p31-37. Disponível em: https://energia.fca.unesp.br/index.php/irriga/article/view/3900. Acesso em: 20 may. 2024.

Issue

Vol. 1 No. 1 (2019): Irriga - Edição Especial Inovagri – notas técnicas

Section

Artigos

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