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.
Evaluation of four remote sensing algorithms in estimating actual evapotranspiration in agricultural environments
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- Final revised paper (published on 16 Jul 2026)
- Supplement to the final revised paper
- Preprint (discussion started on 03 Feb 2025)
- Supplement to the preprint
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
| : Report abuse
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RC1: 'Comment on hess-2024-351', Anonymous Referee #1, 12 May 2025
- AC2: 'Reply on RC1', Phathutshedzo Ratshiedana, 06 Aug 2025
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RC2: 'Comment on hess-2024-351', Anonymous Referee #2, 09 Jul 2025
- AC1: 'Reply on RC2', Phathutshedzo Ratshiedana, 06 Aug 2025
Peer review completion
AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
ED: Reconsider after major revisions (further review by editor and referees) (20 Aug 2025) by Micha Werner
AR by Phathutshedzo Ratshiedana on behalf of the Authors (01 Oct 2025)
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ED: Referee Nomination & Report Request started (22 Oct 2025) by Micha Werner
RR by Anonymous Referee #1 (20 Dec 2025)
RR by Anonymous Referee #3 (02 Feb 2026)
ED: Publish subject to minor revisions (review by editor) (22 Feb 2026) by Micha Werner
AR by Phathutshedzo Ratshiedana on behalf of the Authors (19 Mar 2026)
Author's response
Author's tracked changes
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ED: Publish subject to minor revisions (review by editor) (03 Apr 2026) by Micha Werner
AR by Phathutshedzo Ratshiedana on behalf of the Authors (13 Apr 2026)
Author's response
Author's tracked changes
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ED: Publish subject to minor revisions (review by editor) (03 Jun 2026) by Micha Werner
AR by Phathutshedzo Ratshiedana on behalf of the Authors (13 Jun 2026)
Author's response
Author's tracked changes
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ED: Publish as is (18 Jun 2026) by Micha Werner
AR by Phathutshedzo Ratshiedana on behalf of the Authors (20 Jun 2026)
Manuscript
The paper addresses a practical and regionally important issue within the broader context of water resource management—evaluating the performance of remote sensing-based evapotranspiration (ETa) models in an irrigation scheme in South Africa. While not breaking ground scientifically, the work does offer new observational data from a lysimeter, contributing valuable empirical input to the ongoing validation of satellite-based models. The authors have appropriately credited existing literature and positioned their work as an application-oriented assessment, potentially beneficial for operational water management in similar semi-arid agricultural regions. However, the contribution to Hydrology and Earth System Sciences is limited to new data and validation.
Despite its practical relevance, the paper falls short in several critical areas of scientific rigor. The methodology is not sufficiently detailed to allow reproducibility, particularly regarding the extrapolation of lysimeter data to broader spatial scales using NDVI and weather station data. This key step lacks clarity and justification. Moreover, the use of a single small-scale lysimeter (0.07 m², barley crop) to validate models over a large and diverse 36,000-hectare scheme is problematic and undermines the reliability of the conclusions. The paper fails to account for variability in crop types and their respective Kc-NDVI relationships, resulting in questionable generalizations. Furthermore, the presentation suffers from unclear language, missing supplementary figures, and a title and abstract that do not accurately reflect the study’s scope or limitations.
To meet the scientific and editorial standards of Hydrology and Earth System Sciences (HESS), the authors must significantly improve the methodological transparency and analytical rigor.