Sentinel-1 Backscatter and Interferometric Coherence for Soil Moisture Retrieval in Winter Wheat Fields Within a Semiarid South-Mediterranean Climate: Machine Learning Versus Semiempirical Models

Jamal Ezzahar, Abdelghani G. Chehbouni, Nadia Ouaadi, Mohammed Madiafi, Saïd Khabba, Salah Er-Raki, Ahmed Laamrani, Adnane Chakir, Zohra Lili-Chabaane, Mehrez Zribi. Sentinel-1 Backscatter and Interferometric Coherence for Soil Moisture Retrieval in Winter Wheat Fields Within a Semiarid South-Mediterranean Climate: Machine Learning Versus Semiempirical Models. IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 17:2256-2271, 2024. [doi]

@article{EzzaharCOMKELCLZ24,
  title = {Sentinel-1 Backscatter and Interferometric Coherence for Soil Moisture Retrieval in Winter Wheat Fields Within a Semiarid South-Mediterranean Climate: Machine Learning Versus Semiempirical Models},
  author = {Jamal Ezzahar and Abdelghani G. Chehbouni and Nadia Ouaadi and Mohammed Madiafi and Saïd Khabba and Salah Er-Raki and Ahmed Laamrani and Adnane Chakir and Zohra Lili-Chabaane and Mehrez Zribi},
  year = {2024},
  doi = {10.1109/JSTARS.2023.3339616},
  url = {https://doi.org/10.1109/JSTARS.2023.3339616},
  researchr = {https://researchr.org/publication/EzzaharCOMKELCLZ24},
  cites = {0},
  citedby = {0},
  journal = {IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing},
  volume = {17},
  pages = {2256-2271},
}