| An evaluation of soil moisture retrieval using machine learning methods: Application in arid regions of Tunisia N Jarray, AB Abbes, IR Farah 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 6331 …, 2021 | 2 | 2021 |
| An open source platform to estimate Soil Moisture using Machine Learning Methods based on Eo-learn library N Jarray, AB Abbes, M Rhif, F Chouikhi, IR Farah 2021 International Congress of Advanced Technology and Engineering (ICOTEN), 1-5, 2021 | 2 | 2021 |
| A Novel Teacher–Student Framework for Soil Moisture Retrieval by Combining Sentinel-1 and Sentinel-2: Application in Arid Regions N Jarray, AB Abbes, IR Farah IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022 | 1 | 2022 |
| Unsupervised self-training method based on deep learning for soil moisture estimation using synergy of sentinel-1 and sentinel-2 images A Ben Abbes, N Jarray International Journal of Image and Data Fusion, 1-14, 2022 | | 2022 |
| Towards a Tunisian earth observation data cube for environmental applications M Rhif, AB Abbes, F Chouikhi, N Jarray, IR Farah 2021 International Congress of Advanced Technology and Engineering (ICOTEN), 1-5, 2021 | | 2021 |
