Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 30, issue 13
Articles | Volume 30, issue 13
https://doi.org/10.5194/hess-30-4383-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-30-4383-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 30, issue 13
Research article
 | 
16 Jul 2026
Research article |  | 16 Jul 2026

Evaluation of four remote sensing algorithms in estimating actual evapotranspiration in agricultural environments

Phathutshedzo Eugene Ratshiedana, Mohamed A. M. Abd Elbasit, Elhadi Adam, and Johannes George Chirima

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Latest update: 16 Jul 2026
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Short summary
We explored the use of remote sensing for improving water use monitoring in agricultural areas by estimating evapotranspiration and validating it against smart field weighing lysimeter data. We found that Surface Energy Balance Algorithm for Land (SEBAL) was the most accurate approach for estimating actual evapotranspiration to help farmers understand crop water needs. Our results support smart tools in irrigation water management and monitoring with the aim to save the scarce water resources.
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