Articles | Volume 19, issue 11
https://doi.org/10.5194/hess-19-4653-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-19-4653-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
25 Nov 2015
Research article |
| 25 Nov 2015
The SPARSE model for the prediction of water stress and evapotranspiration components from thermal infra-red data and its evaluation over irrigated and rainfed wheat
CESBIO – UMR 5126 UPS, CNRS, CNES, IRD, Toulouse, France
Département Génie Rural des Eaux et Forêts, Institut National Agronomique de Tunisie/Université de Carthage, Tunis, Tunisia
B. Mougenot
CESBIO – UMR 5126 UPS, CNRS, CNES, IRD, Toulouse, France
Département Génie Rural des Eaux et Forêts, Institut National Agronomique de Tunisie/Université de Carthage, Tunis, Tunisia
J.-P. Lhomme
IRD, UMR LISAH, Montpellier, France
P. Fanise
CESBIO – UMR 5126 UPS, CNRS, CNES, IRD, Toulouse, France
Z. Lili-Chabaane
Département Génie Rural des Eaux et Forêts, Institut National Agronomique de Tunisie/Université de Carthage, Tunis, Tunisia
A. Olioso
INRA, EMMAH – UMR1114, Avignon, France
UAPV, EMMAH – UMR1114, Avignon, France
CESBIO – UMR 5126 UPS, CNRS, CNES, IRD, Toulouse, France
INRA, EMMAH – UMR1114, Avignon, France
UAPV, EMMAH – UMR1114, Avignon, France
V. Rivalland
CESBIO – UMR 5126 UPS, CNRS, CNES, IRD, Toulouse, France
L. Jarlan
CESBIO – UMR 5126 UPS, CNRS, CNES, IRD, Toulouse, France
O. Merlin
CESBIO – UMR 5126 UPS, CNRS, CNES, IRD, Toulouse, France
B. Coudert
CESBIO – UMR 5126 UPS, CNRS, CNES, IRD, Toulouse, France
S. Er-Raki
LP2M2E, FST, Université Cadi Ayyad, Marrakech, Morocco
J.-P. Lagouarde
INRA, UMR 1391 ISPA, 33140 Villenave d'Ornon, France
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Latest update: 08 Nov 2025
Short summary
The paper presents a new model (SPARSE) to estimate total evapotranspiration as well as its components (evaporation and transpiration) from remote-sensing data in the thermal infra-red domain. The limits of computing two unknowns (evaporation and transpiration) out of one piece of information (one surface temperature) are assessed theoretically. The model performance in retrieving the components as well as the water stress is assessed for two wheat crops (one irrigated and one rainfed).
The paper presents a new model (SPARSE) to estimate total evapotranspiration as well as its...
