Research output per year
Research output per year
Personal profile
Short bio
Yawogan Jean Eudes holds a master's degree in Geomatics from University Jean Jaurès in Toulouse and a PhD in Computer Science from the University of Montpellier. His PhD work focused on multi-source remote sensing data fusion with deep learning to improve crop monitoring systems particularly in southern countries. Before joining VTT, Yawogan Jean Eudes was a postdoctoral researcher at the French Space Agency (CNES) and actively participated in the AI4GEO project. Yawogan Jean Eudes has a strong interest in agriculture projects, participates in the remote sensing community events and is currently serving as a reviewer for several scientific journals such as IEEE TGRS, GRSL, MDPI Remote Sensing and Remote Sensing of Environment.
Research interests
Agriculture monitoring, Urban infrastructure, Self-supervised learning, Data fusion, Satellite Image Time series analysis
Education/Academic qualification
Computer sciences, Doctorate, Leverage multi-source remote sensing and deep learning to improve crop monitoring systems, University of Montpellier
Award Date: 8 Nov 2021
Skills and expertise
- Optical remote sensing
- SAR
- Land use land cover mapping
- Crop type mapping
- Crop yield estimation/forecasting
- Machine learning
- Deep learning
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 1 No Poverty -
SDG 2 Zero Hunger -
SDG 8 Decent Work and Economic Growth -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 11 Sustainable Cities and Communities -
SDG 12 Responsible Consumption and Production -
SDG 13 Climate Action -
SDG 15 Life on Land -
SDG 17 Partnerships for the Goals
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Leveraging Physical Augmentations From Multiview Remote Sensing Images for Building Segmentation
Akodad, S., Gbodjo, Y. J. E., Lassalle, P. & Brunet, P.-M., 2025, In: IEEE Geoscience and Remote Sensing Letters. 22, 5000305.Research output: Contribution to journal › Article › Scientific › peer-review
2 Link opens in a new tab Citations (Scopus) -
Combining pixel- and object-level information for land-cover mapping using time-series of Sentinel-2 satellite data
Abidi, A., Abbes, A. B., Gbodjo, Y. J. E., Ienco, D. & Farah, I. R., 1 Feb 2022, In: Remote Sensing Letters. 13, 2, p. 162-172 11 p.Research output: Contribution to journal › Article › Scientific › peer-review
5 Link opens in a new tab Citations (Scopus) -
Benchmarking statistical modelling approaches with multi-source remote sensing data for millet yield monitoring: a case study of the groundnut basin in central Senegal
Gbodjo, Y. J. E., Ienco, D. & Leroux, L., 17 Dec 2021, In: International Journal of Remote Sensing. 42, 24, p. 9285-9308Research output: Contribution to journal › Article › Scientific › peer-review
Open Access9 Link opens in a new tab Citations (Scopus) -
Attentive Spatial Temporal Graph CNN for Land Cover Mapping From Multi Temporal Remote Sensing Data
Censi, A. M., Ienco, D., Gbodjo, Y. J. E., Pensa, R. G., Interdonato, R. & Gaetano, R., 2021, In: IEEE Access. 9, p. 23070-23082 13 p., 9340250.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access28 Link opens in a new tab Citations (Scopus) -
Multisensor Land Cover Classification With Sparsely Annotated Data Based on Convolutional Neural Networks and Self-Distillation
Gbodjo, Y. J. E., Montet, O., Ienco, D., Gaetano, R. & Dupuy, S., 2021, In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14, p. 11485-11499 15 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access26 Link opens in a new tab Citations (Scopus)