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Displaying results 1 - 10 / 20
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Granted funding
Funder
Recipient
Starting year
Network for novel remote sensing technologies in
forest
disturbance
ecology
European Union
University of Eastern Finland; National Land Survey of Finland
2023
Digital technologies, risk management solutions and tools for mitigating
forest
disturbance
s (MULTIRISK)
Research Council of Finland
Maanmittauslaitos
2023
Digital technologies, risk management solutions and tools for mitigating
forest
disturbance
s (MULTIRISK)
Research Council of Finland
Itä-Suomen yliopisto
2023
Digital technologies, risk management solutions and tools for mitigating
forest
disturbance
s (MULTIRISK)
Research Council of Finland
Helsingin yliopisto
2023
Borealization of the Finnish subarctic
Research Council of Finland
Itä-Suomen yliopisto
2023
Borealization of the Finnish subarctic
Research Council of Finland
Lapin yliopisto
2023
Enhancing resilience in boreal
forest
s to face climate change challenges
Kone Foundation
María Triviño, University of Jyväskylä
2023
Sustainable wood fibers: current trends and the future
Kone Foundation
Sunil Kumar Lindström Ramamoorthy, University of Eastern Finland
2023
Learning techniques for drone based hyperspectral analysis of
forest
vegetation
Research Council of Finland
Jyväskylän yliopisto
2023
Learning techniques for autonomous drone based hyperspectral analysis of
forest
vegetation
Research Council of Finland
Maanmittauslaitos
2023
Network for novel remote sensing technologies in
forest
disturbance
ecology
2023
Digital technologies, risk management solutions and tools for mitigating
forest
disturbance
s (MULTIRISK)
2023
Digital technologies, risk management solutions and tools for mitigating
forest
disturbance
s (MULTIRISK)
2023
Digital technologies, risk management solutions and tools for mitigating
forest
disturbance
s (MULTIRISK)
2023
Borealization of the Finnish subarctic
2023
Borealization of the Finnish subarctic
2023
Enhancing resilience in boreal
forest
s to face climate change challenges
2023
Sustainable wood fibers: current trends and the future
2023
Learning techniques for drone based hyperspectral analysis of
forest
vegetation
2023
Learning techniques for autonomous drone based hyperspectral analysis of
forest
vegetation
2023
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