Team Leader
Dr. Dino Ienco, INRAE, HDR
Permanent researchers
- Dr. Cassio Fraga Dantas, INRAE
- Dr. Raffaele Gaetano, CIRAD
- Dr. Roberto Interdonato, CIRAD, HDR
- Dr. Diego Marcos, INRIA
Research enginners
- Mr. Remi Cresson, INRAE, IR
- Mr. Christopher Jabea, INRAE, IR – temporary
Post-Docs
- Konstantinos Panousis, Exploiting Multi-Modal information to support machine learning model interpretability. (2023-2024). INRIA. CPJ OBTEA.
- Pallavi Jain, Multi-modal retrieval and learning for remote sensing data. (2023-2025). CIHEAM. H2020 GRANULAR.
PhD students
- Isabelle Rocamora, Université de Montpellier. AI approach to multi-source and multi-scale satellite imagery-based geomorphological analysis: Application to glacial and alluvial environments. (2021-2024). University of Montpellier, Montpellier.
- Ananthu Aniraj, INRIA. Explainable image classification through supervised and unsupervised part detection. (2022-2025). CPJ OBTEA.
- Quentin Yeche, ATOS. Multi-source satellite image segmentation for the extraction of geometric landscape objects with an application to the extraction of agricultural land parcels. (2023-2026). Airbus Defense and Space – ANRT CIFRE.
- Bruno Bio Nikki, UM/CIRAD. Exploiting multi-year high-resolution Sentinel image time series for a better understanding of fallow dynamics in West Africa. (2023-2026).
- Juan Li, Beijing Normal University, CSC, Visiting PhD Student (2024-2025).
Former PhD students
- Johann Desloires, SYNGENTA. Corn and Sunflower yield prediction from multi-source Earth Observation Data. (2020-2023). Syngenta – ANRT CIFRE.
- Emmanuel Capliez, AIRBUS Defense and Space. Domain Adaptation and Active Learning for land cover mapping from Earth Observation Data. (2020-2023). Airbus Defense and Space – ANRT CIFRE.
- Azza Abidi, Université de Montpellier. Investigating deep learning and image-encoded time series approaches for multi-scale remote sensing analysis in the context of land use/land cover mapping. (2020-2024).
