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

Viewed

Total article views: 2,598 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,799 712 87 2,598 171 110 121
  • HTML: 1,799
  • PDF: 712
  • XML: 87
  • Total: 2,598
  • Supplement: 171
  • BibTeX: 110
  • EndNote: 121
Views and downloads (calculated since 03 Feb 2025)
Cumulative views and downloads (calculated since 03 Feb 2025)

Viewed (geographical distribution)

Total article views: 2,598 (including HTML, PDF, and XML) Thereof 2,460 with geography defined and 138 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 19 Sep 2026
Download
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.
Read more
Share