Luke's Professorial Lectures: Research professors Seija Tuulentie and Petteri Packalen lecture on 19.12.2022
What does co-creation of knowledge mean in research? And what possibilities does remote sensing of forests contain? In the next part of Luke's Professorial Lecture series, Luke's research professors Seija Tuulentie (Research Professor in Arctic Sustainable Livelihoods) and Petteri Packalen (Research Professor in Remote Sensing of Forests) will answer these questions in a form of lectures and introduce their current research.
Luke's Professorial Lectures series celebrates Luke's newly appointed research professors and assistant professors. The lectures offer the opportunity to hear about the new professors' research field, current research and future visions. At the same time, the lectures form a holistic overview of the research carried out in Luke's strategic focus areas. The lectures are in English.
Get to know the themes of the lectures through the descriptions below and come and listen on 19 December in Teams starting at 11.00! Join the lectures here.
Co-creation of knowledge – challenges and possibilities
Seija Tuulentie (Research Professor in Arctic Sustainable Livelihoods)
at 11.00 - 11.30
Participation of different stakeholders is an integral part of research today. That is also demanded by the funding instruments. Basic idea of co-creation is to bring together different kinds of knowledges and expertise in order to achieve stronger democracy, better quality of research and more effective process. There are different modes of co-creating knowledge but important is that participation in focus groups or such is meaningful for the participants. Possible shortcomings of knowledge co-creation maybe related to timing and to the selection of participants. In my presentation I illustrate these issues through some research examples.
What can be achieved by remote sensing of forests?
Petteri Packalen (Research Professor in Remote Sensing of Forests)
at 11.30 - 12.00
Remote sensing can be used to support forest inventory and assessment in many ways. It may be used to increase the efficiency of estimators in large area surveys of forests and remote sensing predictions may be used directly in operational decision making of forest resources. Many new remote sensing datasets and time series over the past decades are freely available for anyone. I will discuss possibilities, limitations and recent advantages in remote sensing of forests.
