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 14 (1), 1-14, 2023 | 13 | 2023 |
SMETool: A web-based tool for soil moisture estimation based on Eo-Learn framework and Machine Learning methods N Jarray, AB Abbes, M Rhif, H Dhaou, M Ouessar, IR Farah Environmental Modelling & Software 157, 105505, 2022 | 11 | 2022 |
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 | 11 | 2022 |
Machine learning for food security: current status, challenges, and future perspectives N Jarray, AB Abbes, IR Farah Artificial Intelligence Review 56 (Suppl 3), 3853-3876, 2023 | 9 | 2023 |
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 | 8 | 2021 |
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 | 7 | 2021 |
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 R Inoubli, L Bennaceur, N Jarray, A Ben Abbes, IR Farah Remote Sensing Letters 13 (10), 980-990, 2022 | 6 | 2022 |
Advances in remote sensing based soil moisture retrieval: applications, techniques, scales and challenges for combining machine learning and physical models AB Abbes, N Jarray, IR Farah Artificial Intelligence Review 57 (9), 224, 2024 | 5 | 2024 |
A Machine learning framework for cereal yield forecasting using heterogeneous data N Jarray, AB Abbes, IR Farah International conference on intelligent systems design and applications, 21-30, 2022 | 3 | 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 | 2 | 2021 |
SmartEarthTunisia: A Benchmark for Monitoring the SDGs USING Earth Observation Data and Deep Learning Techniques In Tunisia H Balti, M Rhif, F Chouikhi, R Inoubli, A Abidi, N Jarray, A ben Abbes, ... IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 1 | 2022 |