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Estimation and partitioning of actual daily evapotranspiration at an intensive olive grove using the STSEB model based on remote sensing

Author

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  • Häusler, Melanie
  • Conceição, Nuno
  • Tezza, Luca
  • Sánchez, Juan M.
  • Campagnolo, Manuel L.
  • Häusler, Andreas J.
  • Silva, João M.N.
  • Warneke, Thorsten
  • Heygster, Georg
  • Ferreira, M. Isabel

Abstract

This study is based on the application of an existing simplified two-source energy balance (STSEB) model, using medium-resolution satellite imagery (Landsat) to estimate instantaneous (at the satellite overpass time) and daily actual crop evapotranspiration (ETa) over an intensive olive grove. Daily values were obtained by the use of the evaporative fraction method and corrected for latent heat, available energy, and evaporative fraction biases (beta-factor correction). Model estimates were compared to ground-based measurements. Heat flux densities (eddy covariance method) were recorded, and five Landsat images at approximately monthly intervals were used, covering our study site in 2011. Comparison with ground measurements showed a maximum difference of −0.6 mm day−1 before, and 0.2 mm day−1 after beta-factor correction for the main plot.

Suggested Citation

  • Häusler, Melanie & Conceição, Nuno & Tezza, Luca & Sánchez, Juan M. & Campagnolo, Manuel L. & Häusler, Andreas J. & Silva, João M.N. & Warneke, Thorsten & Heygster, Georg & Ferreira, M. Isabel, 2018. "Estimation and partitioning of actual daily evapotranspiration at an intensive olive grove using the STSEB model based on remote sensing," Agricultural Water Management, Elsevier, vol. 201(C), pages 188-198.
    • Handle: RePEc:eee:agiwat:v:201:y:2018:i:c:p:188-198
    DOI: 10.1016/j.agwat.2018.01.027
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    References listed on IDEAS

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    1. Conceição, Nuno & Tezza, Luca & Häusler, Melanie & Lourenço, Sónia & Pacheco, Carlos A. & Ferreira, M. Isabel, 2017. "Three years of monitoring evapotranspiration components and crop and stress coefficients in a deficit irrigated intensive olive orchard," Agricultural Water Management, Elsevier, vol. 191(C), pages 138-152.
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    Cited by:

    1. Awada, Hassan & Di Prima, Simone & Sirca, Costantino & Giadrossich, Filippo & Marras, Serena & Spano, Donatella & Pirastru, Mario, 2022. "A remote sensing and modeling integrated approach for constructing continuous time series of daily actual evapotranspiration," Agricultural Water Management, Elsevier, vol. 260(C).
    2. Valentín, Francisco & Sánchez, Juan Manuel & Martínez-Moreno, Alejandro & Intrigliolo, Diego S. & Buesa, Ignacio & López-Urrea, Ramón, 2023. "Using on-the-ground surface energy balance to monitor vine water status and evapotranspiration under deficit irrigation and rainfed conditions," Agricultural Water Management, Elsevier, vol. 281(C).

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