IBC-Carbon research has reached a midway point
Led by the Finnish Environment Institute and funded by the Strategic Research Council at the Academy of Finland, the IBC-Carbon consortium was launched in 2018 and is now in its second three-year funding period.
The consortium’s research addresses the challenges the bioeconomy’s growth expectations and higher felling rates pose on Finnish forest management, on forest biodiversity, and on the development of carbon sinks that slow down climate change. The coexistence of biodiversity, safeguarding of various ecosystem services, and sustainable use of forests is considered increasingly important.
The objective of IBC-Carbon is to support decision-making by providing information on the different values of forests on the basis of modelling and diverse sets of data. In the coming period, the project will also work closely with the Finnish Ecosystem Observatory (FEO), which is coordinated by the Finnish Environment Institute. The new biodiversity monitoring methods developed by IBC-Carbon, which are based on remote sensing and machine learning, will be immediately available in FEO.
“The IBC-Carbon project funded by the Strategic Research Council has been an exceptionally long research project. Our activities are in full gear and, thanks to the diverse know-how and motivation of our experts, it has been possible to take interesting approaches to research. In addition, the project is linked to and strongly supports the activities of the Forests and Bioeconomy (FOBI) research community at the University of Eastern Finland,” Timo Kumpula says.
To learn more about the IBC-Carbon project, please visit https://www.ibccarbon.fi/en-US.
More information about the work package led by Timo Kumpula is available at https://www.ibccarbon.fi/fi-FI/Tyopaketit/Tyopakett_4.
For further information, please contact:
Timo Kumpula, Professor, University of Eastern Finland, email@example.com, tel. +358 50 372 8566
Petteri Vihervaara, Head of Unit (Ecosystem Services), Leading Scientist, Finnish Environment Institute, firstname.lastname@example.org, tel. +358 295 251740
Articles related to remote sensing methods published in the IBC-Carbon project:
Kivinen, S., Koivisto, E., Keski-Saari, S., Poikolainen, L., Tanhuanpää, T., Kuzmin, A., Viinikka, A., Heikkinen, R.K., Pykälä, J., Virkkala, R., Vihervaara, P. & T. Kumpula (2020). A keystone species, European aspen (Populus tremula L.), in boreal forests: Ecological role, knowledge needs and mapping using remote sensing. Forest Ecology and Management 462, 118008; https://doi.org/10.1016/j.foreco.2020.118008
Kuzmin, A., Korhonen, L., Kivinen, S., Hurskainen, P., Korpelainen, P., Tanhuanpää, T., Maltamo, M. Vihervaara, P. & T. Kumpula (2021). Detection of European aspen (Populus tremula L.) based on an unmanned aerial vehicle approach in boreal forests. Remote Sensing 13(9), 1723; https://doi.org/10.3390/rs13091723
Mäyrä, J., Keski-Saari, S., Kivinen, S., Tanhuanpää, T., Hurskainen, P., Kullberg, P., Poikolainen, L., Viinikka, A., Tuominen, S., Kumpula, T. & P. Vihervaara (2021). Tree species classification from airborne hyperspectral and LiDAR data using 3D convolutional neural networks. Remote Sensing of Environment 256, 112322; https://doi.org/10.1016/j.rse.2021.112322
Viinikka, A., Hurskainen, P., Keski-Saari, S., Kivinen, S., Tanhuanpää, T. Mäyrä, J., Poikolainen, L., Vihervaara, P. & T. Kumpula (2020). Detecting European aspen (Populus tremula L.) in boreal forests using airborne hyperspectral and airborne laser scanning data. Remote Sensing 12(16), 2610; https://doi.org/10.3390/rs12162610