ForestMap: The next generation of forest maps - adapting a Nordic success story across the globe

Important results from the project

Yes, the goal of developing AI models for forest mapping was fully achieved. A prototype has been developed for testing at Attsjö super test site and further in Latvia and Lithuania. The project generated important synergies such as new collaborations, researcher exchanges, employment, use of the developed results in teaching at Linnaeus University and connections to a new Vinnova project within the Forest Data Lab, documenting data flows of developed AI models for further use and dissemination.

Expected long term effects

The project is expected to have long-term effects in AI-based forest mapping on local, regional, national and global scale. The methods enables more efficient forest planning and better climate interventions. The results are scalable via "Transfer Learning", which strengthens international cooperation. The project supports education, policy development, new test and research environments and future national and international initiatives. Also, Katam Technologies can develop new business models.

Approach and implementation

The project was implemented in a structured way with monthly meetings, 7 progress reports and overall good cooperation between national and international partners. The work kept to the schedule fairly well with some adjustments during the project period. The results generated several scientific papers. Participation in conferences strengthened the dissemination and dialogue of the results in the project. The project developed mainly according to plan with good coordination between the parties.