A study of radar backscattering on multi-scale bi-dimensional rough surfaces. - Lilia Bennaceur Farah; Ziad Belhadj; Mohamed Rached Boussema (IGARSS, 2002)

Retrieval of multi-scale roughness parameters and soil moisture by numerical inversion. - Lilia Bennaceur Farah; Mohamed Rached Boussema; Ziad Belhadj (IGARSS, 2003)

On the effects of vegetation on radar backscattering. - Ibtissem Hosni; Lilia Bennaceur Farah; Saber Mohamed Naceur; Imed Riadh Farah (ATSIP, 2016)

An empirical model of radar backscattering on multiscale bare soil surfaces. - Ibtissem Hosni; Lilia Bennaceur Farah; Saber Mohamed Naceur (ATSIP, 2018)

Evaluation of Two Surface Scattering Models Within the Water Cloud Model Over an Agricultural Area in Mexico and Synergistic Use of Sentinel-1 and Sentinel-2 Images. - Raja Inoubli; Daniel Enrique Constantino-Recillas; Alejandro Monsiváis-Huertero; Lilia Bennaceur Farah; Imed Riadh Farah (IGARSS, 2023)

Computational methods to retrieve soil moisture using remote sensing data: A review. - Raja Inoubli; Daniel Enrique Constantino-Recillas; Alejandro Monsiváis-Huertero; Lilia Bennaceur Farah; Imed Riadh Farah (ATSIP, 2024)

Predicting C-band backscattering coefficient using the water cloud model and optical vegetation indices. - Raja Inoubli; Daniel Enrique Constantino-Recillas; Alejandro Monsiváis-Huertero; Lilia Bennaceur Farah; Imed Riadh Farah (IGARSS, 2024)

Assessment of Surface Scattering Models Within the Water Cloud Model Toward Soil Moisture Retrievals Using Sentinel-1 and Sentinel-2 Images. - Raja Inoubli; Daniel Enrique Constantino-Recillas; Alejandro Monsiváis-Huertero; Lilia Bennaceur Farah; Imed Riadh Farah (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Assessing machine learning algorithms for retrieving soil moisture from a semi-arid region using a synthetic database. - Raja Inoubli; Lilia Bennaceur Farah; Imed Riadh Farah; Alejandro Monsiváis-Huertero (JURSE, 2025)