A study of changes prediction by HMM with non-stationarity image data: Case of urban area. - Ali Ben Abbes; Houcine Essid; Imed Riadh Farah; Vincent Barra (ATSIP, 2014)

An adaptive multiplicative decomposition of non stationary multi-temporal satellite images: Application to urban changes detection. - Ali Ben Abbes; Houcine Essid; Imed Riadh Farah; Vincent Barra (IPAS, 2014)

Rare events detection in NDVI time-series using Jarque-Bera test. - Ali Ben Abbes; Houcine Essid; Imed Riadh Farah; Vincent Barra (IGARSS, 2015)

Modélisation de la non stationnarité des séries temporelles d'images satellites: Application à la prédiction des changements - Ali Ben Abbes (2016)

Soil Moisture Estimation From Smap Observations Using Long Short- Term Memory (LSTM). - Ali Ben Abbes; Ramata Magagi; Kalifa Goita (IGARSS, 2019)

A non-stationary NDVI time series modelling using triplet Markov chain. - Ali Ben Abbes; Mohamed Farah 001; Imed Riadh Farah; Vincent Barra (Int. J. Inf. Decis. Sci., 2019)

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)

A review of drought monitoring with big data: Issues, methods, challenges and research directions. - Hanen Balti; Ali Ben Abbes; Nedra Mellouli; Imed Riadh Farah; Yan-Fang Sang; Myriam Lamolle (Ecol. Informatics, 2020)

Fused 3-D spectral-spatial deep neural networks and spectral clustering for hyperspectral image classification. - Akrem Sellami; Ali Ben Abbes; Vincent Barra; Imed Riadh Farah (Pattern Recognit. Lett., 2020)

An Improved Forecasting Model from Satellite Imagery Based on Optimum Wavelet Bases and Adam Optimized LSTM Methods. - Manel Rhif; Ali Ben Abbes; Beatriz Martínez 001; Imed Riadh Farah (ICCCI, 2021)

An Evaluation of Soil Moisture Retrieval Using Machine Learning Methods: Application in Arid Regions of Tunisia. - Noureddine Jarray; Ali Ben Abbes; Imed Riadh Farah (IGARSS, 2021)

Enhancing Big Data Warehousing and Analytics for Spatio-Temporal Massive Data. - Hanen Balti; Nedra Mellouli; Ali Ben Abbes; Imed Riadh Farah; Yangfan Sang; Myriam Lamolle (ISD, 2021)

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)

Desertification Detection Based on Landsat Time-Series Images and Variational Auto-Encoder: Application in Jeffera, Tunisia. - Farah Chouikhi; Manel Rhif; Ali Ben Abbes; Imed Riadh Farah (IGARSS, 2022)

A Machine Learning Framework for Cereal Yield Forecasting Using Heterogeneous Data. - Noureddine Jarray; Ali Ben Abbes; Imed Riadh Farah (ISDA (2), 2022)

Forecasting vegetation indices from spatio-temporal remotely sensed data using deep learning-based approaches: A systematic literature review. - Aya Ferchichi; Ali Ben Abbes; Vincent Barra; Imed Riadh Farah (Ecol. Informatics, 2022)

Detection of trend and seasonal changes in non-stationary remote sensing data: Case study of Tunisia vegetation dynamics. - Manel Rhif; Ali Ben Abbes; Beatriz Martínez 001; Rogier de Jong; Yan-Fang Sang; Imed Riadh Farah (Ecol. Informatics, 2022)

SMETool: A web-based tool for soil moisture estimation based on Eo-Learn framework and Machine Learning methods. - Noureddine Jarray; Ali Ben Abbes; Manel Rhif; Hanen Dhaou; Mohamed Ouessar; Imed Riadh Farah (Environ. Model. Softw., 2022)

Multidimensional architecture using a massive and heterogeneous data: Application to drought monitoring. - Hanen Balti; Ali Ben Abbes; Nedra Mellouli; Imed Riadh Farah; Yan-Fang Sang; Myriam Lamolle (Future Gener. Comput. Syst., 2022)

A Novel Teacher-Student Framework for Soil Moisture Retrieval by Combining Sentinel-1 and Sentinel-2: Application in Arid Regions. - Noureddine Jarray; Ali Ben Abbes; Imed Riadh Farah (IEEE Geosci. Remote. Sens. Lett., 2022)

Desertification Detection in Satellite Images Using Siamese Variational Autoencoder with Transfer Learning. - Farah Chouikhi; Ali Ben Abbes; Imed Riadh Farah (ICCCI, 2023)

Combining 2D encoding and convolutional neural network to enhance land cover mapping from Satellite Image Time Series. - Azza Abidi; Dino Ienco; Ali Ben Abbes; Imed Riadh Farah (Eng. Appl. Artif. Intell., 2023)

Veg-W2TCN: A parallel hybrid forecasting framework for non-stationary time series using wavelet and temporal convolution network model. - Manel Rhif; Ali Ben Abbes; Beatriz Martínez 001; Imed Riadh Farah (Appl. Soft Comput., 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)

Spatio-temporal heterogeneous graph using multivariate earth observation time series: Application for drought forecasting. - Hanen Balti; Ali Ben Abbes; Yan-Fang Sang; Nedra Mellouli; Imed Riadh Farah (Comput. Geosci., 2023)

Machine learning for food security: current status, challenges, and future perspectives. - Noureddine Jarray; Ali Ben Abbes; Imed Riadh Farah (Artif. Intell. Rev., 2023)

TALDS: A Transfer-Active Learning-Driven Siamese Network for Bi-temporal Image Classification. - Farah Chouikhi; Ali Ben Abbes; Imed Riadh Farah (ATSIP, 2024)

Multi-Scale Classification of Sentinel-2 Images for Land Cover Mapping Using Two-Branch Convolutional Neural Network. - Azza Abidi; Dino Ienco; Ali Ben Abbes; Imed Riadh Farah (IGARSS, 2024)

Monitoring Desertification in Tunisia Using Modis Ecological Indicators and Machine Learning. - Farah Chouikhi; Ali Ben Abbes; Imed Riadh Farah (IGARSS, 2024)

Data-Driven Forecasting of Climate Change Impacts on Vegetation for Sustainable Agriculture. - Manel Rhif; Ali Ben Abbes; Beatriz Martínez 001; Imed Riadh Farah (KES, 2024)

Toward an Intelligent Decision Support System for Environmental Application Using Earth Digital Twin. - Feras N. Al-Obeidat; May Al-Taee; Ali Ben Abbes (SADASC (2), 2024)

Multi-attention Generative Adversarial Network for multi-step vegetation indices forecasting using multivariate time series. - Aya Ferchichi; Ali Ben Abbes; Vincent Barra; Manel Rhif; Imed Riadh Farah (Eng. Appl. Artif. Intell., 2024)

DeepWealth: A generalizable open-source deep learning framework using satellite images for well-being estimation. - Ali Ben Abbes; Jeaneth Machicao; Pedro L. P. Corrêa; Alison Specht; Rodolphe Devillers; Jean P. Ometto; Yasuhisa Kondo; David Mouillot (SoftwareX, 2024)

A Bi-GRU-based encoder-decoder framework for multivariate time series forecasting. - Hanen Balti; Ali Ben Abbes; Imed Riadh Farah (Soft Comput., 2024)

Advances in remote sensing based soil moisture retrieval: applications, techniques, scales and challenges for combining machine learning and physical models. - Ali Ben Abbes; Noureddine Jarray; Imed Riadh Farah (Artif. Intell. Rev., 2024)

Orthrus: multi-scale land cover mapping from satellite image time series via 2D encoding and convolutional neural network. - Azza Abidi; Dino Ienco; Ali Ben Abbes; Imed Riadh Farah (Neural Comput. Appl., 2024)

AI and EO for Advancing Sustainable Development Goals: SmartSDGTunisia as a Case Study. - Hanen Balti; Manel Rhif; Farah Chouikhi; Ali Ben Abbes; Mohamed Farah 001; Imed Riadh Farah (JURSE, 2025)

Assessing the impact of climate change on desertification in Africa: A comparative analysis and projections based on CMIP6. - Farah Chouikhi; Ali Ben Abbes; Manel Rhif; Imed Riadh Farah (JURSE, 2025)

An end-to-end pipeline based on a Two-Dimensional Convolutional Neural Network for monitoring desertification in Africa using remote sensing images. - Farah Chouikhi; Ali Ben Abbes; Imed Riadh Farah (Environ. Model. Softw., 2025)

Enhancing change detection in multi-date images using a Multi-temporal Siamese Neural Network. - Farah Chouikhi; Ali Ben Abbes; Imed Riadh Farah (Pattern Recognit. Lett., 2025)