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Satellite-Based Water and Energy Balance Model for the Arid Region to Determine Evapotranspiration: Development and Application

Author

Listed:
  • Ahsan Ali

    (Department of Soils, Water and Agricultural Engineering, Sultan Qaboos University, Muscat P.C. 123, Oman)

  • Yaseen A. Al-Mulla

    (Department of Soils, Water and Agricultural Engineering, Sultan Qaboos University, Muscat P.C. 123, Oman
    Remote Sensing and GIS Research Center, Sultan Qaboos University, Muscat P.C. 123, Oman)

  • Yassine Charabi

    (Centre of Environmental Studies and Research, Sultan Qaboos University, Muscat P.C. 123, Oman)

  • Ghazi Al-Rawas

    (Department of Civil and Architectural Engineering, Sultan Qaboos University, Muscat P.C. 123, Oman)

  • Malik Al-Wardy

    (Department of Soils, Water and Agricultural Engineering, Sultan Qaboos University, Muscat P.C. 123, Oman)

Abstract

Actual evapotranspiration ( ETa ) plays an important role in irrigation planning and supervision. Traditionally, the estimation of ETa was approximated using different in situ techniques, having high initial and maintenance costs with low spatial resolution. In this context, satellite imagery models play an effective role in water management practices by estimating ETa in small and large-scale areas. All existing models have been widely used for the estimation of ETa around the globe, but there is no definite conclusion on which approach is best for the hot and hyper-arid region of Oman. Our study introduces an innovative approach that uses in situ, meteorological, and satellite imagery (Landsat-OLI/TIRS) datasets to estimate ETa . The satellite-based water and energy balance model for the arid region to determine evapotranspiration (SMARET) was developed under the hot and hyper-arid region conditions of Oman by incorporating soil temperature in the sensible heat flux. The performance of SMARET ran through accuracy assessment against in situ measurements via sap flow sensors and lysimeters. The SMARET was also evaluated against three existing models, including the surface energy balance algorithm for land (SEBAL), mapping evapotranspiration at high-resolution with internalized calibration (METRIC), and the Penman–Monteith (PM) model. The study resulted in a significant correlation between SMARET (R 2 = 0.73), as well as the PM model (R 2 = 0.72), and the ETa values calculated from Lysimeter. The SMARET model also showed a significant correlation (R 2 = 0.66) with the ETa values recorded using the sap flow meter. The strong relationship between SMARET, sap flow measurement, and lysimeter observation suggests that SMARET has application capability in hot and hyper-arid regions.

Suggested Citation

  • Ahsan Ali & Yaseen A. Al-Mulla & Yassine Charabi & Ghazi Al-Rawas & Malik Al-Wardy, 2021. "Satellite-Based Water and Energy Balance Model for the Arid Region to Determine Evapotranspiration: Development and Application," Sustainability, MDPI, vol. 13(23), pages 1-22, November.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:23:p:13111-:d:688657
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    References listed on IDEAS

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    2. Liu, Y. & Teixeira, J. L. & Zhang, H. J. & Pereira, L. S., 1998. "Model validation and crop coefficients for irrigation scheduling in the North China plain," Agricultural Water Management, Elsevier, vol. 36(3), pages 233-246, April.
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