Suivre
Jarray Noureddine
Jarray Noureddine
Laboratory of Eremology and Combating Desertification,Instiut des Régions Arides et RIADI Laboratory, National School of Computer Science, Manouba, Tunisia
Adresse e-mail validée de ira.rnrt.tn - Page d'accueil
Titre
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Année
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
92023
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
72022
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
72021
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
42022
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
42021
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
22022
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
22021
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
12023
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
12022
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
2022
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