Dr. Khabba Said
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Dr. Khabba Said

Professor
Cadi Ayyad University, Morocco

Highest Degree
Ph.D. in Heat Transfert from Cadi Ayyad University, Morocco

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Biography

Khabba Saïd is an eco-physiologist and had PhD in water sciences at 1995. His research is focusing on modeling crops growth, development and yield by using the synergy between field measurements, simple and complex modeling and satellite observations (multi-sensor and multi-resolution). Saïd has published more than 100 papers in international peer-reviewed journals and has supervised a dozen PhDs.

Area of Interest:

Plant and Soil Sciences
100%
Agronomic Modeling
62%
Agroclimatology
90%
Plant Growth
75%
Plant Protection
55%

Research Publications in Numbers

Books
1
Chapters
10
Articles
108
Abstracts
34

Selected Publications

  1. Sebbar, B.E., S. Khabba, O. Merlin, V. Simonneaux, C. El Hachimi, M.H. Kharrou and A. Chehbouni, 2023. Machine-learning-based downscaling of hourly ERA5-land air temperature over mountainous regions Atmosphere, Vol. 14. 10.3390/atmos14040610.
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  2. Ouaadi, N., L. Jarlan, S. Khabba, M. Le Page, A. Chakir, S. Er-Raki and Pierre-Louis Frison, 2023. Are the C-band backscattering coefficient and interferometric coherence suitable substitutes of NDVI for the monitoring of the FAO-56 crop coefficient? Agric. Water Manage., Vol. 282. 10.1016/j.agwat.2023.108276.
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  3. Ouaadi, N., J. Ezzahar, L. Jarlan, S. Khabba and P.L. Frison, 2023. Synergy of Sentinel-1 and Sentinel-2 Satellites for Surface Soil Moisture Retrieval Over Wheat Crops in Semi-arid Areas. In: Proceedings of the 3rd International Conference on Electronic Engineering and Renewable Energy Systems, Bekkay, H., A. Mellit, A. Gagliano, A. Rabhi and M.A. Koulali (Eds.), Springer Nature, Singapore, ISBN: 978-981-19-6222-6, pp: 613–620.
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  4. El Hachimi, C., S. Belaqziz, S. Khabba, B. Sebbar, D. Dhiba and A. Chehbouni, 2023. Smart weather data management based on artificial intelligence and big data analytics for precision agriculture. Agriculture, Vol. 13. 10.3390/agriculture13010095.
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  5. Benkirane, M., A. Amazirh, N.E Laftouhi, S. Khabba and A. Chehbouni, 2023. Assessment of GPM satellite precipitation performance after bias correction, for hydrological modeling in a semi-arid watershed (High Atlas Mountain, Morocco). Atmosphere, Vol. 14. 10.3390/atmos14050794.
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  6. Ouaadi, N., L. Villard, S. Khabba, P.L. Frison and J. Ezzahar et al., 2022. In situ C-Band Data for Wheat Physiological Functioning Monitoring in The South Mediterranean Region. Proceeding of IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium, 17-22 July 2022, IEEE, 4951-4954.
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  7. Nassah, H., S. Er-Raki, Y. Fakir, V. Simonneaux, A. Diarra, S. Khabba and A. Chehbouni, 2022. Mapping deep percolation using remote sensing over an irrigated area in the Haouz plain (Marrakech, Morocco). ISHS Acta Hortic., 1335: 371-380.
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  8. Khabba, S., J. Toumi, S. Er-Raki, M. Le Page, J. Ezzahar, A. Chehbouni and L. Jarlan, 2022. Simple and spatialized approach to optimize irrigation water and wheat yield in the semi-arid areas. ISHS Acta Hortic., 1335: 717-724.
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  9. Hssaine, B.A., O. Merlin, J. Ezzahar, S. Er-Raki, S. Khabba and A. Chehbouni, 2022. Evapotranspiration estimation by combining soil moisture, land surface temperature/vegetation cover fraction data and surface-atmosphere exchange modeling. ISHS Acta Hortic., 1335: 295-304.
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  10. Hanich, L., A. Chehbouni, S. Gascoin, A. Boudhar and L. Jarlan et al., 2022. Snow hydrology in the moroccan atlas mountains. J. Hydrol.: Reg. Stud., Vol. 42. 10.1016/j.ejrh.2022.101101.
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  11. Hachimi, C.E.L., S. Belaqziz, S. Khabba and A. Chehbouni, 2022. Towards smart big weather data management. Chem. Proc., Vol. 10. 10.3390/IOCAG2022-12240.
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  12. Er-Raki, S., J. Ezzahar, C. Anbari, A. Amazirh and B.A. Hssaine et al., 2022. Using HYDRUS-1D for estimating evapotranspiration and soil water content of irrigated winter wheat under different water management in a semi-arid region of Morocco. ISHS Acta Hortic., 1335: 87-94.
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  13. Epule, T.E., A. Chehbouni, T. Chfadi, V. Ongoma and S. Er-Raki et al., 2022. A systematic national stocktake of crop models in morocco. Ecol. Modell., Vol. 470. 10.1016/j.ecolmodel.2022.110036.
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  14. Elfarkh, J., J. Ezzahar, S. Er-Raki, L. Jarlan, B. Aithssaine, S. Khabba and A. Chehbouni, 2022. Using a large aperture scintillometer for determining evapotranspiration of mountain foothills agriculture in the Rheraya catchment, Morocco. ISHS Acta Hortic., 1335: 127-134.
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  15. El Hachimi, C., S. Belaqziz, S. Khabba and A. Chehbouni, 2022. Data science toolkit: An all-in-one python library to help researchers and practitioners in implementing data science-related algorithms with less effort. Software Impacts, Vol. 12. 10.1016/j.simpa.2022.100240.
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  16. Diarra, A., L. Jarlan, S. Khabba, M.L. Page and S. Er-Raki et al., 2022. Medium-resolution mapping of evapotranspiration at the catchment scale based on thermal infrared MODIS data and ERA-interim reanalysis over North Africa. Remote Sens., Vol. 14. 10.3390/rs14205071.
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  17. Chouaib, E.H., B. Salwa, K. Saïd and C. Abdelghani, 2022. Early Estimation of Daily Reference Evapotranspiration Using Machine Learning Techniques for Efficient Management of Irrigation Water. 2021 2nd International Symposium on Automation, Information and Computing, 03/12/2021-06/12/2021, IOP Publishing, 012006-012006.
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  18. Benkirane, M., Nour-Eddine Laftouhi, S. Khabba and Á. de la Hera-Portillo, 2022. Hydro statistical assessment of TRMM and GPM precipitation products against ground precipitation over a Mediterranean mountainous watershed (in the Moroccan high atlas). Appl. Sci., Vol. 12. 10.3390/app12168309.
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  19. Amazirh, A., S. Er-Raki, O. Merlin, S. Khabba, L. Olivera-Guerra, C. Mattar and A. Chehbouni, 2022. Modelling root-zone soil moisture from observed fluxes inter-comparing eddy covariance and lysimeter methods. ISHS Acta Hortic., 1335: 135-144.
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  20. Ali, A.A., L. Bouchaou, S. Er-Raki, M. Hssaissoune and Y. Brouziyne et al., 2022. Assessment of crop evapotranspiration and deep percolation in a commercial irrigated citrus orchard under semi-arid climate: Combined Eddy-Covariance measurement and soil water balance-based approach. Agric. Water Manage., Vol. 275. 10.1016/j.agwat.2022.107997.
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  21. Ouaadi, N., L. Villard, J. Ezzahar, P.L. Frison and S. Khabba et al., 2021. Diurnal Cycles of C-Band Temporal Coherence and Backscattering Coefficient Over a Wheat Field in a Semi-Arid Area. 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 11-16 July, 2021, IEEE, ISBN: 978-1-6654-0369-6, pp: 3817-3820.
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  22. Ouaadi, N., L. Jarlan, S. Khabba, J. Ezzahar, M. le Page and O. Merlin, 2021. Irrigation amounts and timing retrieval through data assimilation of surface soil moisture into the FAO-56 approach in the South Mediterranean region. Remote Sens., Vol. 13. 10.3390/rs13142667.
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  23. Ouaadi, N., L. Jarlan, S. Khabba, J. Ezzahar and O. Merlin, 2021. Irrigation Water Retrieval Through Data Assimilation of Surface Soil Moisture into the FAO-56 Approach in the South Mediterranean Region. 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 11-16 July, 2021, IEEE, ISBN: 978-1-6654-0369-6, pp: 6088-6091.
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  24. Ouaadi, N., J. Ezzahar, S. Khabba, S. Er-Raki and A. Chakir et al., 2021. C-band radar data and in situ measurements for the monitoring of wheat crops in a semi-arid area (center of Morocco). Earth Syst. Sci. Data, 13: 3707-3731.
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  25. Kharrou, M.H., V. Simonneaux, S. Er-Raki, M.L. Page, S. Khabba and A. Chehbouni, 2021. Assessing irrigation water use with remote sensing-based soil water balance at an irrigation scheme level in a semi-arid tegion of Morocco. Remote Sens., Vol. 13. 10.3390/rs13061133.
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  26. Hssaine, B.A., A. Chehbouni, S. Er-Raki, S. Khabba and J. Ezzahar et al., 2021. On the utility of high-resolution soil moisture data for better constraining thermal-based energy balance over three semi-arid agricultural areas. Remote Sens., Vol. 13. 10.3390/rs13040727.
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  27. Hssaine, B.A., A. Chehbouni, S. Er-Raki, S. Khabba and J. Ezzahar et al., 2021. Including Radar Soil Moisture into Two-source Energy Balance Model for Improving Turbulent Fluxes Estimates. 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 11-16 July, 2021, IEEE, ISBN: 978-1-6654-0369-6, pp: 6435-6438.
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  28. Hssaine, B.A., A. Chehbouni, S. Er-Raki, S. Khabba and J. Ezzahar et al., 2021. Including Radar Soil Moisture into Two-Source Energy Balance Model for Improving Turbulent Fluxes Estimates. 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 11-16 July 2021 IEEE, 6435-6438.
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  29. Hachimi, C.E., S. Belaqziz, S. Khabba and A. Chehbouni, 2021. Towards precision agriculture in Morocco: A machine learning approach for recommending crops and forecasting weather. 2021 International Conference on Digital Age & Technological Advances for Sustainable Development (ICDATA), 29-30 June 2021 IEEE, 88-95.
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  30. Er-Raki, S., J. Ezzahar, O. Merlin, A. Amazirh and B.A. Hssaine et al., 2021. Performance of the hydrus-1D model for water balance components assessment of irrigated winter wheat under different water managements in semi-arid region of Morocco. Agric. Water Manage., 10.1016/j.agwat.2020.106546.
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  31. El Hachimi, C., S. Belaqziz, S. Khabba and A. Chehbouni, 2021. Towards precision agriculture in morocco: A machine learning approach for recommending crops and forecasting weather. In 2021 International Conference on Digital Age & Technological Advances for Sustainable Development (ICDATA), 29-30 June, 2021, IEEE, pp: 88-95.
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  32. Chakir, A., P.L. Frison, S. Khabba, J. Ezzahar and L. Villard et al., 2021. Diurnal Cycles of C-Band Temporal Coherence and Backscattering Coefficient Over an Olive Orchard in a Semi-Arid Area: Comparison of In Situ and Sentinel-1 Radar Observations. 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 11-16 July, 2021, IEEE, ISBN:978-1-6654-0369-6, pp: 3801-3804.
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  33. Bouras, E.H., L. Jarlan, S. Er-Raki, R. Balaghi, A. Amazirh, B. Richard and S. Khabba, 2021. Cereal yield forecasting with satellite drought-based indices, weather data and regional climate indices using machine learning in Morocco. Remote Sens., Vol. 13. 10.3390/rs13163101.
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  34. Belaqziz, S., S. Khabba, M.H. Kharrou, E.H. Bouras, S. Er-Raki and A. Chehbouni, 2021. Optimizing the sowing date to improve water management and wheat yield in a large irrigation scheme, through a remote sensing and an evolution strategy-based approach. Remote Sens., Vol. 13. 10.3390/rs13183789.
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  35. houssaine Bouras, E., L. Jarlan, S. Er-Raki, C. Albergel, B. Richard, R. Balaghi and S. Khabba, 2020. Linkages between rainfed cereal production and agricultural drought through remote sensing indices and a land data assimilation system: a case Study in Morocco. Remote Sens., 10.3390/rs12244018.
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  36. Villard, L., A. Chakir, P. Fanise, N. Ouaadi and J. Ezzahar et al., 2020. Temporal decorrelation At C- And L-band over olive tree plantations:first insights from the marocscat campaigns. IEEE., 10.1109/M2GARSS47143.2020.9105196.
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  37. Rafi, Z., O. Merlin, V.L. Dantec, S. Khabba, S. Er-Raki and P. Mordelet, 2020. Inter-comparison between different techniques for evapotranspiration partitioning: eddy covariance-, sap flow-, lysimeter- and fao-based methods. Adv. Smart Technol. Appl. Case Stud., 684: 431-439.
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  38. Page, M.L., Y. Fakir, L. Jarlan, A. Boone, B. Berjamy, S. Khabba and M. Zribi, 2020. Projection of irrigation water demand based on the simulation of synthetic crop coefficients and climate change. Hydrol. Earth Syst. Sci., 10.5194/hess-2020-301.
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  39. Ouaadi, N., L. Jarlan, J. Ezzahar, S. Khabba and V.L. Dantec et al., 2020. Water stress detection over irrigated wheat crops in semi-arid areas using the diurnal differences of sentinel-1 backscatter. 2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS). March 9-11, 2020, IEEE Xplore, Tunis, Tunisia, 306-309.
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  40. Ouaadi, N., L. Jarlan, J. Ezzahar, S. Khabba and V. Le Dantec et al., 2020. Water stress detection over irrigated wheat crops in semi-arid areas using the diurnal differences of sentinel-1 backscatter. IEEE., 10.1109/M2GARSS47143.2020.9105171.
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  41. Ouaadi, N., L. Jarlan, J. Ezzahar, M. Zribi, S. Khabba, E. Bouras and P.L. Frison, 2020. Surface soil moisture retrieval over irrigated wheat crops in semi-arid areas using sentinel-1 data, IEEE., 10.1109/M2GARSS47143.2020.9105282.
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  42. Ouaadi, N., L. Jarlan, J. Ezzahar, M. Zribi and S. Khabba et al., 2020. Monitoring of wheat crops using the backscattering coefficient and the interferometric coherence derived from Sentinel-1 in semi-arid areas. Remote Sens. Environ., Vol. 251. 10.1016/j.rse.2020.112050.
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  43. Khabba, S., S. Er-Raki, J. Toumi, J. Ezzahar, B.A. Hssaine, M. Le Page and A. Chehbouni, 2020. A simple light-use-efficiency model to estimate wheat yield in the semi-arid areas. Agronomy, Vol. 10. 10.3390/agronomy10101524.
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  44. Hssaine, B.A., O. Merlin, J. Ezzahar, N. Ojha, S. Er-Raki and S. Khabba, 2020. An evapotranspiration model self-calibrated from remotely sensed surface soil moisture, land surface temperature and vegetation cover fraction: application to disaggregated SMOS and MODIS data. Hydrol. Earth Syst. Sci., 24: 1781-1803.
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  45. Frison, P.L., A. Chakir, J. Ezzahar, P. Fanise and L. Villard et al., 2020. C band radar crops monitoring at high temporal frequency: first results of the MOCTAR campaign. IEEE., 10.1109/M2GARSS47143.2020.9105177.
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  46. Elfarkh, J., S. Er-Raki, J. Ezzahar, S. Khabba, L. Jarlan and A. Chehbouni, 2020. The use of sap flow and eddy covariance for evaluating the Shuttleworth-Wallace model to estimate evapotranspiration and transpiration over olive orchard in a semi-arid region. Acta Horti., 1300: 63-72.
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  47. Elfarkh, J., S. Er-Raki, J. Ezzahar, L. Jarlan, S. Khabba and A. Chehbouni, 2020. Estimation of the evapotranspiration over heterogeneous region using shuttleworth-wallace model. Adv. Smart Technol. Appl. Case Stud., 684: 451-459.
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  48. Elfarkh, J., S. Er-Raki, J. Ezzahar, A. Chehbouni and B. Aithssaine et al., 2020. Integrating thermal stress indexes within Shuttleworth–Wallace model for evapotranspiration mapping over a complex surface. Irrig. Sci., 10.1007/s00271-020-00701-3.
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  49. Elfarkh, J., J. Ezzahar, S. Er-Raki, V. Simonneaux and B.A. Hssaine et al., 2020. Multi-scale evaluation of the TSEB model over a complex agricultural landscape in Morocco. Remote Sens., 10.3390/rs12071181.
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  50. Aouade, G., L. Jarlan, J. Ezzahar, S. Er-Raki and A. Napoly et al., 2020. Evapotranspiration partition using the multiple energy balance version of the ISBA-A-gs land surface model over two irrigated crops in a semi-arid Mediterranean region (Marrakech, Morocco). Hydrol. Earth Syst. Sci., 24: 3789-3814.
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  51. Sefiani, S., A. El Mandour, N. Laftouhi, N. Khalil and A. Chehbouni et al., 2019. Evaluation of groundwater quality and agricultural use under a semi‐arid environment: Case of agafay, Western Haouz, Morocco. Irrig. Drain., (In Press). 10.1002/ird.2363.
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  52. Rafi, Z., O. Merlin, V. Le Dantec, S. Khabba and P. Mordelet et al., 2019. Partitioning evapotranspiration of a drip-irrigated wheat crop: Inter-comparing eddy covariance-, sap flow-, lysimeter-and FAO-based methods. Agric. For. Meteorol., 265: 310-326.
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  53. Ezzahar, J., N. Ouaadi, M. Zribi, J. Elfarkh and G. Aouade et al., 2019. Evaluation of backscattering models and support vector machine for the retrieval of bare soil moisture from sentinel-1 data. Remote Sens., Vol. 12. 10.3390/rs12010072.
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  54. Bouras, E., L. Jarlan, S. Khabba, S. Er-Raki, A. Dezetter, F. Sghir and Y. Tramblay, 2019. Assessing the impact of global climate changes on irrigated wheat yields and water requirements in a semi-arid environment of Morocco. Sci. Rep., Vol. 9. 10.1038/s41598-019-55251-2.
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  55. Olivera-Guerra, L., O. Merlin, S. Er-Raki, S. Khabba and M.J. Escorihuela, 2018. Estimating the water budget components of irrigated crops: Combining the FAO-56 dual crop coefficient with surface temperature and vegetation index data. Agric. Water Manag., 208: 120-131.
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  56. Nassah, H., S. Er-Raki, S. Khabba, Y. Fakir, F. Raibi, O. Merlin and B. Mougenot, 2018. Evaluation and analysis of deep percolation losses of drip irrigated citrus crops under non-saline and saline conditions in a semi-arid area. Biosyst. Eng., 165: 10-24.
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  57. Merlin, O., L. Olivera-Guerra, B.A. Hssaine, A. Amazirh and Z. Rafi et al., 2018. A phenomenological model of soil evaporative efficiency using surface soil moisture and temperature data. Agric. For. Meteorol., 256: 501-515.
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  58. Malbeteau, Y., O. Merlin, G. Balsamo, S. Er-Raki, S. Khabba, J.P. Walker and L. Jarlan, 2018. Toward a surface soil moisture product at high spatiotemporal resolution: Temporally interpolated, spatially disaggregated SMOS data. J. Hydrometeorol., 19: 183-200.
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  59. Hssaine, B.A., O. Merlin, Z. Rafi, J. Ezzahar, L. Jarlan, S. Khabba and S. Er-Raki, 2018. Calibrating an evapotranspiration model using radiometric surface temperature, vegetation cover fraction and near-surface soil moisture data. Agric. For. Meteorol., 256: 104-115.
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  60. Hssaine, B., J. Ezzahar, L. Jarlan, O. Merlin and S. Khabba et al., 2018. Combining a two source energy balance model driven by MODIS and MSG-SEVIRI products with an aggregation approach to estimate turbulent fluxes over sparse and heterogeneous vegetation in Sahel region (Niger). Remote Sens., Vol. 10, No. 6. 10.3390/rs10060974.
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  61. Er-Raki, S., A. Amazirh, A. Ayyoub, S. Khabba, O. Merlin, J. Ezzahar and A. Chehbouni, 2018. Integrating thermal surface temperature into penman-monteith model for estimating evapotranspiration and crop water stress of orange orchard in Semi-Arid region. Acta Hortic., 1197: 89-96.
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  62. Amazirh, A., O. Merlin, S. Er-Raki, Q. Gao and V. Rivalland et al., 2018. Retrieving surface soil moisture at high spatio-temporal resolution from a synergy between Sentinel-1 radar and Landsat thermal data: A study case over bare soil. Remote Sens. Environ., 211: 321-337.
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  63. Sefiani, S., A. El Mandour, N.E. Laftouhi, N. Khalil and S. Kamal et al., 2017. Assessment of soil quality for a semi-arid irrigated under citrus orchard: Case of the Haouz plain, Morocco. Eur. Scient. J., 13: 367-388.
  64. Nassah, H., S. Er-Raki, S. Khabba, Y. Fakir, J. Ezzahar, L. Hanich and O. Merlin, 2017. Evaluation of deep percolation in irrigated citrus orchards in the semi-arid region of Tensift Al Haouz, Morocco. Acta Hortic., 1150: 145-152.
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  65. Malbéteau, Y., O. Merlin, S. Gascoin, J.P. Gastellu and C. Mattar et al., 2017. Normalizing land surface temperature data for elevation and illumination effects in mountainous areas: A case study using ASTER data over a steep-sided valley in Morocco. Remote Sens. Environ., 189: 25-39.
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  66. Eweys, O.A., M.J. Escorihuela, J.M. Villar, S. Er-Raki and A. Amazirh et al., 2017. Disaggregation of SMOS soil moisture to 100 m resolution using MODIS optical/thermal and sentinel-1 radar data: Evaluation over a bare soil site in morocco. Remote Sens., Vol. 9, No. 11. 10.3390/rs9111155.
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  67. Diarra, A., L. Jarlan, S. Er-Raki, M. Le Page and G. Aouade et al., 2017. Performance of the Two-Source Energy Budget (TSEB) model for the monitoring of evapotranspiration over irrigated annual crops in North Africa. Agric. Water Manag., 193: 71-88.
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  68. Ayyoub, A., S. Khabba, S. Er-Raki, O. Merlin and A. Bahlaoui, 2017. Calibration and validation of the penman-monteith model for estimating evapotranspiration of an orange orchard in semi-arid region. Acta Hortic., 1150: 15-22.
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  69. Ayyoub, A., S. Er-Raki, S. Khabba, O. Merlin and J. Ezzahar et al., 2017. A simple and alternative approach based on reference evapotranspiration and leaf area index for estimating tree transpiration in semi-arid regions. Agric. Water Manag., 188: 61-68.
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  70. Amenzou, N., H. Marah, F. Raibi, J. Ezzahar and F. Taous et al., 2017. Isotopic and Conventional Techniques to Improve the Irrigation Practice for Enhancing Agriculture Production Under Water Limiting Conditions in Morocco. In: Managing Irrigation Water to Enhance Crop Productivity under Water-limiting Conditions: A Role for Isotopic Techniques, FAO. and IAEA (Eds.)., IAEA TECDOC SERIES 1813, IAEA Library Cataloguing, Austria, ISBN: 978-92-0-103717-6, pp: 45-55.
  71. Amazirh, A., S. Er-Raki, A. Chehbouni, V. Rivalland and A. Diarra et al., 2017. Modified penman-monteith equation for monitoring evapotranspiration of wheat crop: Relationship between the surface resistance and remotely sensed stress index. Biosyst. Eng., 164: 68-84.
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  72. Toumi, J., S. Er-Raki, J. Ezzahar, S. Khabba, L. Jarlan and A. Chehbouni, 2016. Performance assessment of AquaCrop model for estimating evapotranspiration, soil water content and grain yield of winter wheat in Tensift Al Haouz (Morocco): Application to irrigation management. Agric. Water Manage., 163: 219-235.
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