- E-post
- julien.vadnais@uib.no
- Besøksadresse
-
Allégaten 41
5007 Bergen - Rom: 2G12c - 2148
- Postadresse
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Postboks 7803
5020 Bergen
Forskergrupper
Kort info
Fjernmåling og geomatikk.
Forskning
I am a PhD candidate with a background in Geomatics and Remote Sensing.
In my current research, I develop geospatial deep learning algorithms to map marine oil slicks from satellite remote sensing, primarily SAR. Progress on this notoriously challenging task will enable new analyses of natural oil seepage systems which have important environmental implications at the basin scale (e.g. hydrocarbon migration, geological storage).
Undervisning
Universitetet i Bergen
Teaching Assistant
GEOV205: Geografiske informasjonssystem - Teori og praksis
Université de Montréal
Teaching Assistant
- GEO1542: Introduction to remote sensing
- GEO3015: Geographic information systems III - Project
- GEO3532: Spatial modeling
- GEO6341: Complex socio-ecological systems modeling
- GEO6343: Advanced remote sensing
Publikasjoner
Vitenskapelig artikkel
- Julien Vadnais; Christian Haug Eide; Nicolas Pinet et al. (2026). Origin and fate of an episodic oil seep, Gulf of St. Lawrence (Canada). (ekstern lenke)
- Julien Vadnais; Benjamin Aubrey Robson; Christian Haug Eide et al. (2025). Transfer learning between Sentinel-1 acquisition modes enhances the few-shot segmentation of natural oil slicks in the Arctic. (ekstern lenke)
Konferanseforedrag
- Julien Vadnais; Christian Haug Eide; Benjamin Aubrey Robson (2025). Advanced geomatics and machine learning to map and study spatio-temporal patterns of natural hydrocarbon seepage in the North Sea. (ekstern lenke)
- Julien Vadnais; Benjamin Aubrey Robson; Christian Haug Eide (2025). On the Challenge of Oil Slick Lookalikes in SAR mapping: Transfer Learning With Limited Labels. (ekstern lenke)