|
26 Jul 2019
SURFACE MOISTURE AND IRRIGATION MAPPING AT AGRICULTURAL FIELD SCALE USING THE SYNERGY SENTINEL-1/SENTINEL-2 DATA
M. Zribi, N. Baghdadi, S. Bousbih, M. El-Hajj, and Q. Gao
Related authors
Soil moisture estimates at 1 km resolution making a synergistic use of Sentinel data
Remi Madelon, Nemesio J. Rodríguez-Fernández, Hassan Bazzi, Nicolas Baghdadi, Clement Albergel, Wouter Dorigo, and Mehrez Zribi
Hydrol. Earth Syst. Sci., 27, 1221–1242, https://doi.org/10.5194/hess-27-1221-2023,https://doi.org/10.5194/hess-27-1221-2023, 2023
Short summary
Integrating process-related information into an artificial neural network for root-zone soil moisture prediction
Roiya Souissi, Mehrez Zribi, Chiara Corbari, Marco Mancini, Sekhar Muddu, Sat Kumar Tomer, Deepti B. Upadhyaya, and Ahmad Al Bitar
Hydrol. Earth Syst. Sci., 26, 3263–3297, https://doi.org/10.5194/hess-26-3263-2022,https://doi.org/10.5194/hess-26-3263-2022, 2022
Short summary
Projection of irrigation water demand based on the simulation of synthetic crop coefficients and climate change
Michel Le Page, Younes Fakir, Lionel Jarlan, Aaron Boone, Brahim Berjamy, Saïd Khabba, and Mehrez Zribi
Hydrol. Earth Syst. Sci., 25, 637–651, https://doi.org/10.5194/hess-25-637-2021,https://doi.org/10.5194/hess-25-637-2021, 2021
Short summary
Soil moisture estimates at 1 km resolution making a synergistic use of Sentinel data
Remi Madelon, Nemesio J. Rodríguez-Fernández, Hassan Bazzi, Nicolas Baghdadi, Clement Albergel, Wouter Dorigo, and Mehrez Zribi
Hydrol. Earth Syst. Sci., 27, 1221–1242, https://doi.org/10.5194/hess-27-1221-2023,https://doi.org/10.5194/hess-27-1221-2023, 2023
Short summary
Integrating process-related information into an artificial neural network for root-zone soil moisture prediction
Roiya Souissi, Mehrez Zribi, Chiara Corbari, Marco Mancini, Sekhar Muddu, Sat Kumar Tomer, Deepti B. Upadhyaya, and Ahmad Al Bitar
Hydrol. Earth Syst. Sci., 26, 3263–3297, https://doi.org/10.5194/hess-26-3263-2022,https://doi.org/10.5194/hess-26-3263-2022, 2022
Short summary
Projection of irrigation water demand based on the simulation of synthetic crop coefficients and climate change
Michel Le Page, Younes Fakir, Lionel Jarlan, Aaron Boone, Brahim Berjamy, Saïd Khabba, and Mehrez Zribi
Hydrol. Earth Syst. Sci., 25, 637–651, https://doi.org/10.5194/hess-25-637-2021,https://doi.org/10.5194/hess-25-637-2021, 2021
Short summary