Open Access
Issue
EPJ Web Conf.
Volume 371, 2026
9th International Congress on Thermal Sciences (AMT’2026)
Article Number 05003
Number of page(s) 7
Section Thermal Engineering for Sustainable Water and Resource Management
DOI https://doi.org/10.1051/epjconf/202637105003
Published online 22 May 2026
  1. S.S. Anapalli, D.K. Fisher, S.R. Pinnamaneni, K.N. Reddy, Quantifying evapotranspiration and crop coefficients for cotton (Gossypium hirsutum L.) using an eddy covariance approach. Agric. Water Manag. 233, 106091 (2020). doi: https://doi.org/10.1016/j.agwat.2020.106091 [Google Scholar]
  2. L. Jarlan, S. Khabba, S. Er-Raki, M. Le Page, L. Hanich, Y. Fakir, O. Merlin, S. Mangiarotti, S. Gascoin, J. Ezzahar, M.H. Kharrou, B. Berjamy, A. Saaïdi, A. Boudhar, A. Benkaddour, N. Laftouhi, J. Abaoui, A. Tavernier, G. Boulet, V. Simonneaux, F. Driouech, M. El Adnani, et R. Escadafal, Remote sensing of water resources in semiarid Mediterranean areas: the joint international laboratory TREMA. Int. J. Remote Sens. 36, 4879-4917 (2015).doi: https://doi.org/10.1080/01431161.2015.1093198 [Google Scholar]
  3. J.E. Moorhead, Field-Scale Estimation of Evapotranspiration. In: Advanced Evapotranspiration Methods and Applications (IntechOpen, 2018). doi: https://doi.org/10.5772/intechopen.80945 [Google Scholar]
  4. R.G. Allen, L.S. Pereira, T.A. Howell, M.E. Jensen, Evapotranspiration information reporting: I. Factors governing measurement accuracy. Agric. Water Manag. 98, 899920 (2011).doi: https://doi.org/10.1016/j.agwat.2010.12.015 [Google Scholar]
  5. R.G. Allen, L.S. Pereira, D. Raes, M. Smith, Crop evapotranspiration—Guidelines for computing crop water requirements. FAO Irrigation and Drainage Paper No. 56 (FAO, Rome, 1998) [Google Scholar]
  6. L.S. Pereira, P. Paredes, D.J. Hunsaker, R. López-Urrea, Z. Mohammadi Shad, Standard single and basal crop coefficients for field crops. Updates and advances to the FAO56 crop water requirements method. Agric. Water Manag. 243, 106466 (2021). doi: https://doi.org/10.1016/j.agwat.2020.106466 [Google Scholar]
  7. B. Duchemin, R. Hadria, S. Erraki, G. Boulet, P. Maisongrande, A. Chehbouni, R. Escadafal, J. Ezzahar, J.C.B. Hoedjes, M.H. Kharrou, S. Khabba, B. Mougenot, A. Olioso, J.C. Rodriguez, V. Simonneaux, Monitoring wheat phenology and irrigation in Central Morocco: On the use of relationships between evapotranspiration, crop coefficients, leaf area index and remotely-sensed vegetation indices. Agric. Water Manag. 79, 1-27 (2006).doi: https://doi.org/10.1016/j.agwat.2005.02.013 [CrossRef] [Google Scholar]
  8. S. Er-Raki, J.C. Rodriguez, J. Garatuza-Payan, C.J. Watts, A. Chehbouni, Determination of crop evapotranspiration of table grapes in a semi-arid region of Northwest Mexico using multi-spectral vegetation index. Agric. Water Manag. 122, 12-19 (2013). doi: https://doi.org/10.1016/j.agwat.2013.02.007 [Google Scholar]
  9. A. Elallaoui, P.-L. Frison, S. Khabba, A. Chakir, V. Le Dantec, S. Er-Raki, N. Ouaadi, P. Fanise, L. Villard, B. Fruneau, Z. Rafi, J. Ezzahar, and L. Jarlan, Assessment of the potential of sub-diurnal in situ C-band radar data for monitoring maize crop in semi-arid regions, Remote Sens. Environ., 336, 115304 (2026). doi: https://doi.org/10.1016/j.rse.2026.115304 [Google Scholar]
  10. S. Chintala, T.S. Harmya, B.V.N.P. Kambhammettu, S. Moharana, S. Duvvuri, Modelling high-resolution evapotranspiration in fragmented croplands from the constellation of Sentinels. Remote Sens. Appl. Soc. Environ. 26, 100704 (2022). doi: https://doi.org/10.1016/j.rsase.2022.100704 [Google Scholar]
  11. N. Ouaadi, L. Jarlan, S. Khabba, M. Le Page, A. Chakir, S. Er-Raki, P.-L. Frison, Are the C-band backscattering coefficient and interferometric coherence suitable substitutes of NDVI for the monitoring of the FAO-56 crop coefficient? Agric. Water Manag. 282, 108276 (2023).doi: https://doi.org/10.1016/j.agwat.2023.108276 [Google Scholar]
  12. IPCC, Climate Change 2022: Mitigation of Climate Change (IPCC, 2022) [Google Scholar]
  13. Y. Ouassanouan, Y. Fakir, V. Simonneaux, M. Kharrou, H. Bouimouass, I. Najar, M. Benrhanem, F. Sguir, A. Chehbouni, Multi-decadal analysis of water resources and agricultural change in a Mediterranean semiarid irrigated piedmont under water scarcity and human interaction. Sci. Total Environ. 834, 155328 (2022). doi: https://doi.org/10.1016/j.scitotenv.2022.155328 [Google Scholar]
  14. B. Duchemin, O. Hoguet, B. Mougenot, I. Benhadj, R. Hadria, V. Simonneaux, J. Ezzahar, S. Hoedjes, M.H. Khabba, G. Kharrou, G. Boulet, S. Dedieu, R. Er-Raki, A. Escadafal, A. Olioso, Agrometeorological study of semi-arid areas: an experiment for analysing the potential of FORMOSAT-2 time series images in the Marrakech plain. Int. J. Remote Sens. 29, 5291-5300 (2008).doi: https://doi.org/10.1080/01431160802036482 [Google Scholar]
  15. H. Nassah, S. Er-Raki, S. Khabba, Y. Fakir, F. Raïbi, O. Merlin, B. Mougenot, Evaluation and analysis of deep percolation losses of drip irrigated citrus crops under non-saline and saline conditions in a semi-arid area. Biosystems Eng. 165, 10-24 (2018). doi: https://doi.org/10.1016/j.biosystemseng.2017.10.017 [Google Scholar]

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