Articles | Volume 385
https://doi.org/10.5194/piahs-385-443-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.Assessing the Accuracy of Multiple Classification Algorithms Combining Sentinel-1 and Sentinel-2 for the Citrus Crop Classification and spatialization of the Actual Evapotranspiration Obtained from Flux Tower Eddy Covariance: Case Study of Cap Bon, Tunisia
Related authors
Cited articles
Chakhar, A., Hernández-López, D., Ballesteros, R., and Moreno, M. A.: Improving the Accuracy of Multiple Algorithms for Crop Classification by Integrating Sentinel-1 Observations with Sentinel-2 Data, Remote Sens., 13, 1–21, https://doi.org/10.3390/rs13020243, 2021.
Copernicus Open Access Hub: Sentinel-2 archives, https://sentinels.copernicus.eu/web/sentinel/missions/sentinel-2/data-products, last access: 12 December 2023.
Er-Raki, S., Chehbouni, A., Guemouria, N., Duchemin, B., Ezzahar, J., and Hadria, R.: Combining FAO-56 Model and Ground-Based Remote Sensing to Estimate Water Consumptions of Wheat Crops in a Semi-Arid Region, Agr. Water Manage., 87, 41–54, https://doi.org/10.1016/j.agwat.2006.02.004, 2007.
Glenn, E. P., Christopher, M. U. N., Hunsaker, D. J., and Nagler, P. L.: Vegetation Index-Based Crop Coefficients to Estimate Evapotranspiration by Remote Sensing in Agricultural and Natural Ecosystems, Hydrol. Process., 25, 4050–4062, https://doi.org/10.1002/hyp.8392, 2011.
Hamouda, M. F. B.: Approche Hydrogéologique et Isotopique Des Systèmes Aquifères Côtiers Du Cap Bon: Cas Des Nappes de La Côte Orientale et d'El Haouaria, Tunisie, PhD, INAT, 2008.