Workshop: Self-supervised deep learning in Earth Observation based forest inventory
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 VTT-organized 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, Oleg Antropov, Tuomas Häme, VTT |
| 10:15 | Self-supervised learning in Earth Observation | Devis Tuia, EPFL |
| 10:25 10 min + 5 min Q&A |
MoCo & MAML models in forest mapping using Copernicus Sentinel-2 and Sentinel-1 data | Lloyd Hughes, Marc Russwurm, Devis Tuia, EPFL |
| 10:40 10 min + 5 min Q&A |
UNet+ models with multi-source EO data for forest inventory | Oleg Antropov, VTT |
| 10:55 10 min + 5 min Q&A |
DCVA approaches for forest change detection using Copernicus Sentinel images | Ridvan Salih Kuzu, DLR, Oleg Antropov, VTT, Sudipan Saha, TUM |
| 11:10 | Break (5 min) | |
| 11:15 20 min + 5 min Q&A |
F-TEP introduction and tools overview | Jukka Miettinen, Renne Tergujeff, VTT |
| 11:40 20 min + 5 min Q&A |
F-TEP service demonstrations using self- and weakly supervised learning | Lauri Seitsonen, VTT |
| 12:05 | F-TEP developer’s perspective | Lauri Seitsonen, VTT |
| 12:15 | Concluding remarks | Oleg Antropov, Matthieu Molinier, VTT |
We look forward to meeting you at the workshop.
Oleg Antropov, Matthieu Molinier, VTT and the ESA RepreSent team