Yawogan Gbodjo
Remote Sensing Research Scientist at VTT
Espoo, Finland
Summary
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Senior🎓
Top SchoolYawogan Gbodjo is a Remote Sensing Research Scientist with eight years of experience applying geomatics and deep learning to agricultural and land-cover monitoring. Trained in geomatics and holding a PhD in computer science, he has led research on multisensor data fusion (Sentinel-1, Sentinel-2, SPOT) for crop classification and yield estimation and has contributed to high-resolution 3D land use mapping through AI at CNES’s AI4GEO consortium. Now based in Espoo and working at VTT, he combines academic rigor from doctoral and postdoctoral work with practical GIS and Python development experience gained across international research centers. His expertise spans semantic segmentation, object-based regularization for LoD building models, and operationalizing remote-sensing workflows for smallholder agriculture — a profile that bridges cutting-edge AI methods and field-facing geospatial applications.
8 years of coding experience
Doctorat, Informatique, Ecole doctorale I2S, Doctorat, Informatique, Ecole doctorale I2S at Université de MontpellierMaster's degree, Sciences et Technologies de l'Espace, Mention Bien, Master's degree, Sciences et Technologies de l'Espace, Mention Bien at Centre Regional Africain des Sciences et Technologies de l'EspaceLicence ès Sciences et Techniques, Géomatique et Amnégement du Territoire, Mention Bien, Licence ès Sciences et Techniques, Géomatique et Amnégement du Territoire, Mention Bien at Université Sultan Mouley SlimaneMaster 2 (M2), Geomatique SIGMA, Master 2 (M2), Geomatique SIGMA at Université Toulouse - Jean Jaurès
French, English, ewe, German
Github Skills (1)
python2
Programming languages (1)
Github contributions (5)
eudesyawog/S1S2VHSR
Aug 2020 - Feb 2021
Contributions:27 commits, 21 pushes, 3 branches in 6 months
eudesyawog/eudesyawog.github.io
Jan 2018 - Aug 2022
Contributions:15 pushes, 1 branch in 4 years 7 months
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