Articles | Volume 28, issue 21
https://doi.org/10.5194/hess-28-4797-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-28-4797-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
30 Oct 2024
Research article |
| 30 Oct 2024
| 30 Oct 2024
Assessment of upscaling methodologies for daily crop transpiration using sap flows and two-source energy balance models in almonds under different water statuses and production systems
Manuel Quintanilla-Albornoz
CORRESPONDING AUTHOR
Efficient Use of Water in Agriculture Program, Institute of Agrifood Research and Technology, Fruitcentre, Parc AgroBiotech, Lleida, 25003, Spain
Xavier Miarnau
Fruit Production Program, Institute of Agrifood Research and Technology, Fruitcentre, Parc AgroBiotech, Lleida, 25003, Spain
Ana Pelechá
Efficient Use of Water in Agriculture Program, Institute of Agrifood Research and Technology, Fruitcentre, Parc AgroBiotech, Lleida, 25003, Spain
Héctor Nieto
Institute of Agricultural Sciences, ICA-CSIC, Madrid, 28006, Spain
Joaquim Bellvert
Efficient Use of Water in Agriculture Program, Institute of Agrifood Research and Technology, Fruitcentre, Parc AgroBiotech, Lleida, 25003, Spain
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Radoslaw Guzinski, Héctor Nieto, José Miguel Barrios, Walid Ghariani, Francoise Gellens-Meulenberghs, Jan De Pue, and Roselyne Lacaze
EGUsphere, https://doi.org/10.5194/egusphere-2025-4342, https://doi.org/10.5194/egusphere-2025-4342, 2025
This preprint is open for discussion and under review for Hydrology and Earth System Sciences (HESS).
Short summary
Short summary
We present the design of an upcoming actual evapotranspiration product which will join the Copernicus Land Monitoring Service portfolio. The product relies on free and open data and advanced modelling methods and will have global coverage with a 300 m pixel resolution. A prototype dataset was compared against measurements from 104 geographically distributed stations, achieving good results. Such product will find multiple uses, including in water resources management and food security fields.
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Short summary
Remote sensing can be a helpful tool for monitoring crop transpiration (T) for agricultural water management. Since remote sensing provides instantaneous data, upscaling techniques are required to estimate T on a daily scale. This study assesses optimal image acquisition times and four upscaling approaches to estimate daily T. The results indicate that the main errors derive from measurement time and water stress levels, which can be mitigated by choosing a proper upscaling approach.
Remote sensing can be a helpful tool for monitoring crop transpiration (T) for agricultural...
