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SBDI technical user workshop – Services for image analysis in biodiversity research

May 17, 2022 @ 09:00 - 12:00 CEST

Koster Seafloor Observatory.


Currently there are several infrastructure initiatives in Sweden developing services for analysis of large volumes of image data with machine learning methods (ML). Two examples are the National Forest Data Lab, NFDL and the Ocean Data Factory, ODF. Although these systems analyse very different environments, they may have very similar functionalities to address the complex needs in image analysis. The goal of this online workshop is to bring these groups together, understand the architecture of various image analysis systems in biodiversity research, establish contacts between researchers and developers, and explore the potential for co-development. Discussions will focus on infrastructure service development, especially functionality for image archiving, data management, image annotation, model testing & training, and model execution. Here, also relations to existing digital research infrastructures such as SBDI, SND, SNIC, EOSC will be mapped and further consolidated. The workshop is organised by the Swedish Biodiversity Data Infrastructure, the national access point for open biodiversity data. SBDI provides data and analysis services for research on biodiversity and ecosystems.


Program     May 17      09:00 – 12:00    Online meeting


Time  Topic Speaker
09.00 Welcome by the organisers Matthias Obst (University of Gothenburg), Anna Lena Axelsson (Swedish University of Agricultural Sciences)
09.10 National Forest Data Lab (NFDL) – Technical overview  Halil Radogoshi and Liselott Nilsson (The Swedish Forest Agency)
09.40 Forest and Landscape R&D – Applications and use cases  Anna-Lena Axelsson (SLU)
10.00 Koster Seafloor Observatory (KSO) – Technical overview Jurie Germishuys (Combine)
10.30 Marine research with image analysis – Applications and use cases Matthias Obst (University of Gothenburg)
10.50 Break 
11.05 Discussion: Exploring the potential to share resources & pool competencies in  archiving, data management, image annotation, model testing & training, and model execution all
11.30 Discussion: Relations to digital research infrastructures (SBDI, SND, SNIC, EOSC). all
11.55 – 12.00 Wrap up Matthias Obst, Anna Lena Axelsson 


AI for species recognition in forests

Example of AI for species recognition in forests.


  • Matthias Obst (University of Gothenburg)
  • Anna Lena Axelsson (Swedish University of Agricultural Sciences) 



  • English


Registration deadline

  • 13. May 2022 
  • Online meeting. The link is sent to all registered persons the day before the workshop.
  • Please register by sending an email with 2 lines of background to


May 17, 2022
09:00 - 12:00 CEST