Centre for Data Intensive Sciences and Applications

Workshop (May 4th, 2023) on Self-supervised deep learning in EO-based forest inventory – ESA RepreSent project and Forest Thematic Exploitation Platform (F-TEP)


Deep learning (DL) and computer vision are rapidly gaining popularity in forest inventory. However, the scarcity of available reference data limits the effective use of DL tools. Self-supervised learning (SSL) and weakly-supervised learning aim to solve this bottleneck by enabling better utilization of available EO data to effectively train DL models.

We invite you to attend an online workshop, where we will present and discuss several deep learning models suitable for forest mapping with satellite remote sensing data, that were created within the ESA funded RepreSent project (2022-2023) on Representation learning for Copernicus Sentinel data. The developed models enable forest mapping and monitoring by significantly reducing the amount of reference data typically required for deep learning model training. A selected set of tools has also been implemented on Forestry TEP to facilitate the quick adoption of developed methodologies in the downstream sector and for potential use as benchmark methodologies.

The workshop targets AI4EO researchers who are interested in the forestry sector, as well as foresters who wish to explore the broader applications of DL and SSL in their academic research or operational forest management.

Please inform about your participation using this link https://forms.office.com/e/GFKbeZ29jQ

Participation to the workshop is free.

The online workshop will be organized on MS Teams, and further details will be sent to registered participants.

Preliminary agenda – the online workshop starts at 10 am EEST (Finland time zone), May 4th 2023

10:00 am (EEST) Welcome and ESA RepreSent project introduction Matthieu Molinier, Oleg Antropov, VTT, Corneliu Octavian Dumitru, DLR
10:05 Forest inventory using EO data Jukka Miettinen, Tuomas Häme, VTT
10:15 Self-supervised and weakly-supervised Learning in Earth Observation ESA Represent consortium

10min + 5min Q&A

MoCo & MAML models in forest mapping using Copernicus Sentinel-2 and Sentinel-1 data Lloyd Hughes, Marc Russwurm,

Devis Tuia, EPFL


10min +5 min Q&A

UNet+ models with multi-source EO data Oleg Antropov, VTT

10 min +5 min Q&A

DCVA approaches for forest change detection using Sentinel-2 images Ridvan Kuzu, DLR
11:10 Break (5 mn)

20 min +5 min Q&A

F-TEP introduction: Status and tools overview Jukka Miettinen, Renne Tergujeff, VTT

20 min + 5 min Q&A

F-TEP service demonstrations including SSL Lauri Seitsonen, VTT
12:05 F-TEP developer’s perspective Lauri Seitsonen, VTT
12:15 Concluding remarks Oleg Antropov, Matthieu Molinier, VTT

Please forward this invitation to your colleagues who might be interested in these topics.

We look forward to meeting you at the workshop.

Oleg Antropov, Matthieu Molinier, VTT and the ESA RepreSent team

Welcome to our May PhD-seminar in 2023


  • When? May 5th 14.00 – 16.00
  • Where? D1172 – Växjö (link will provided for those who wants to attend online)
  • Registration: We would like to know how many that will attend onsite/online in order to get some fika for those onsite. So please register by May 3rd https://forms.gle/R1GuWXGXjiDYGWaQ6

14.00-14.10 Welcome and practical information from Welf Löwe
14.10-14.55 Presentation and discussion: Title Data intensive applications and service development at Volvo CE – Joel Cramsky, Industry PhD-student Volvo CE
14.55 – 15.05 Coffee break
15.05 – 15.50 Presentation and discussion – Designing an Intelligent Predictive Maintenance Framework for Cyber-Physical Systems using Machine Learning and Digital Twin Technology – Mehdi Saman Azari, PhD student at LNU
15.50 -16.00 Sum up and plan for our next seminar on June 2nd


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