Uncertainty assessment of satellite remote-sensing-based evapotranspiration estimates: a systematic  review of methods and gaps

Tran, Bich Ngoc; van der Kwast, Johannes; Seyoum, Solomon; Uijlenhoet, Remko; Jewitt, Graham; Mul, Marloes

doi:https://doi.org/10.5194/hess-27-4505-2023

Articles | Volume 27, issue 24

https://doi.org/10.5194/hess-27-4505-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-27-4505-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 27, issue 24

Review article

| Highlight paper

|

20 Dec 2023

Review article | Highlight paper |

| 20 Dec 2023

Uncertainty assessment of satellite remote-sensing-based evapotranspiration estimates: a systematic review of methods and gaps

Bich Ngoc Tran, Johannes van der Kwast, Solomon Seyoum, Remko Uijlenhoet, Graham Jewitt, and Marloes Mul

Supplement

https://doi.org/10.5194/hess-27-4505-2023-supplement

Data sets

Systematic Quantitative Literature Review - Uncertainty assessment of Evapotranspiration Remote Sensing B. Tran https://doi.org/10.4121/797dcaff-56e3-45ae-a931-f6f4a3135d26.v2

Meta-analysis of Remotely sensed Evapotranspiration validation with Eddy Covariance B. Tran and M. Mul https://doi.org/10.4121/e6e1713a-0c2b-4775-a7f4-9e6e0b2cf40f.v2

Executive editor

This review paper constitutes a tremendous effort reviewing and analyzing a vast body of literature on the evaluation of Satellite Remote Sensing-based evapotranspiration datasets. It is a great road map for this field of research guiding all future such studies toward the use of community-based best practices.