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Author

Raja Inoubli

Observed name: R. Inoubli
Institution: Manouba University
ORCID: 0000-0002-7076-5848
Observed ORCID: 0000-0002-7076-5848
OpenAlex ID: A5021861000
Combining deep learning methods and multi-resolution analysis for drought forecasting modeling
2023 · Ali Ben Abbes, Raja Inoubli, et al. · Earth Science Informatics · 43
A review of drought monitoring using remote sensing and data mining methods
2020 · Raja Inoubli, Ali Ben Abbes, et al. · International Conference on Advanced Technologies for Signal and Image Processing · 19
A comparison between the use of machine learning techniques and the water cloud model for the retrieval of soil moisture from Sentinel-1A and Sentinel-2A products
2022 · R. Inoubli, L. Bennaceur, et al. · Remote Sensing Letters · 18
Assessment of Surface Scattering Models Within the Water Cloud Model Toward Soil Moisture Retrievals Using Sentinel-1 and Sentinel-2 Images
2024 · Raja Inoubli, Daniel Enrique Constantino-Recillas, et al. · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 7
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
2023 · Raja Inoubli, Daniel Enrique Constantino-Recillas, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 6
Computational methods to retrieve soil moisture using remote sensing data: A review
2024 · Raja Inoubli, Daniel Enrique Constantino-Recillas, et al. · International Conference on Advanced Technologies for Signal and Image Processing · 5
SmartEarthTunisia: A Benchmark for Monitoring the SDGs USING Earth Observation Data and Deep Learning Techniques In Tunisia
2022 · Hanen Balti, Manel Rhif, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 5
On Building of a Deep Learning-Based Drought Forecasting System for the Sarab Region [Iran]
2022 · Raja Inoubli, Ali Ben Abbes, et al. · Advances in Science, Technology & Innovation/Advances in science, technology & innovation · 2
Predicting C-band backscattering coefficient using the water cloud model and optical vegetation indices
2024 · Raja Inoubli, Daniel Enrique Constantino-Recillas, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 1
Soil Characterization Using Machine Learning Based on Remote Sensing Data
2023 · Raja Inoubli, Lilia Bennaceur, et al. · Advances in Science, Technology & Innovation/Advances in science, technology & innovation · 1
Assessment of vegetation water content through combining WCM and machine learning algorithms for agricultural fields in Mexico
2026 · Daniel Enrique Constantino Recillas, Raja Inoubli, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Physics-Regularized Deep Learning for Accurate Soil Moisture Estimation from Multi-Source Remote Sensing data
2026 · Noureddine Jarray, Lilia Bennaceur Farah, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Assessing machine learning algorithms for retrieving soil moisture from a semi-arid region using a synthetic database
2025 · Raja Inoubli, Lilia Bennaceur Farah, et al. · Joint Urban Remote Sensing Event (JURSE)
Works count: 13
Citation count: 107
H-index: 5
I10-index: 3
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