A review of drought monitoring using remote sensing and data mining methods. - Raja Inoubli; Ali Ben Abbes; Imed Riadh Farah; Vijay Singh; Tsegaye Tadesse; Mohammad Taghi Sattari (ATSIP, 2020)

SmartEarthTunisia: A Benchmark for Monitoring the SDGs USING Earth Observation Data and Deep Learning Techniques In Tunisia. - Hanen Balti; Manel Rhif; Farah Chouikhi; Raja Inoubli; Azza Abidi; Noureddine Jarray; Ali Ben Abbes; Imed Riadh Farah (IGARSS, 2022)

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)

Combining deep learning methods and multi-resolution analysis for drought forecasting modeling. - Ali Ben Abbes; Raja Inoubli; Manel Rhif; Imed Riadh Farah (Earth Sci. Informatics, 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)