Self-supervised learning (SSL) in Earth Observation based forest inventory – workshop
On May 4th, 2023, an online workshop on Self-supervised learning (SSL) in Earth Observation based forest inventory was conducted by VTT and the ESA RepreSent project consortium.
Altogether 103 participants registered for the Workshop, with more than 85 people attending live, in addition to organisers and presenters. Attendees included forestry academic researchers and practitioners, GIS and remote sensing professionals as well as AI4EO researchers from many European countries and beyond. Thank you again to the attendees for showing interest in our work.
The programme featured an overview of the ESA Represent project (presented by Matthieu Molinier, VTT and Octavian Dumitru, DLR), followed by Introduction to Earth Observation for Forestry (presented by Jukka Miettinen, VTT), Introduction to SSL (Devia Tuia, EPFL), presentation of methodology developments achieved in the RepreSent project (Lloyd Hughes, EPFL and Oleg Antropov, VTT). Further, Jukka Miettinen and Lauri Seitsonen gave an overview of Forestry TEP, and organized a live demonstration of general-purpose software and SSL tools implemented on the platform, as well as the F-TEP developer toolkit.
Links to presentation PDFs can be found through the links below:
Follow-up questions and enquiries can be sent to the workshop organisers, Oleg Antropov (oleg.antropov@vtt.fi) and Matthieu Molinier (matthieu.molinier@vtt.fi).