Evapotranspiration for irrigated agriculture using orbital satellites

Authors

  • Daniel Althoff Universidade Federal de Viçosa
  • Francisco Cássio Gomes Alvino Universidade Federal de Viçosa
  • Roberto Filgueiras Universidade Federal de Viçosa
  • Catariny Cabral Aleman Universidade Federal de Viçosa
  • Fernando França da Cunha Universidade Federal de Viçosa

DOI:

https://doi.org/10.14393/BJ-v35n3a2019-41737

Keywords:

Vegetation index, Irrigation management, Water balance, Precision irrigation, Maize.

Abstract

 Acknowledging the importance of evapotranspiration as a mediating factor for efficient irrigation management and water balance, the objective of study is to compare the Simple Algorithm for Evapotranspiration Retrieving (SAFER) to the standard method proposed by FAO-56 for real evapotranspiration, as well as prove its value as an implement in irrigation management for the Brazilian Savanna. Data used refers to 2015’s harvest of seven center pivots, located in the municipality of São Desidério in western Bahia. For the SAFER algorithm, the images used were acquired by the Landsat-8 satellite during the entire maize crop cycle. The SAFER algorithm estimation demonstrates the spatial and temporal distribution of the evapotranspiration. A maximum evapotranspiration of 5.38 mm d-1 was observed during the crop’s reproductive stage. In relation to the standard method, SAFER showed a mean absolute error of 0.40 mm. Thus, concluding that the algorithm can be used to estimate the actual evapotranspiration crop as an alternative to the standard method proposed by FAO-56 for water resources management.

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Published

2019-06-11

How to Cite

ALTHOFF, D., ALVINO, F.C.G.., FILGUEIRAS, R.., ALEMAN, C.C.. and CUNHA, F.F. da ., 2019. Evapotranspiration for irrigated agriculture using orbital satellites. Bioscience Journal [online], vol. 35, no. 3, pp. 670–678. [Accessed22 May 2022]. DOI 10.14393/BJ-v35n3a2019-41737. Available from: https://seer.ufu.br/index.php/biosciencejournal/article/view/41737.

Issue

Section

Agricultural Sciences