Transferable models for remote sensing of forest biomass with spaceborne lidar

Description of the granted funding

Our project develops new methods for remote sensing of forest above-ground biomass. We will use satellite laser sensors to provide regional estimates of biomass and its change 2003–2027 for the entire European boreal forest zone. Satellite lasers can directly measure tree heights and forest canopy densities. Statistical and physically based models are used to convert these measurements into accurate estimates of biomass. Special attention is paid to model transferability, which guarantees that the predictions are reliable for different types of forests. Regional estimates of biomass change and its components are calculated for the Nordic and Baltic countries, as well as European Russia. Our project will help to improve and harmonize the quality of European forest resource information. The consortium partners are University of Eastern Finland and Aalto University. The project is supported by researchers from Finland, Sweden, Norway, Estonia, United Kingdom, and United States.
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Starting year

2024

End year

2028

Granted funding

Aarne Hovi Orcid -palvelun logo
350 000 €


Funder

Research Council of Finland

Funding instrument

Academy projects

Päättäjä

Scientific Council for Biosciences, Health and the Environment
12.06.2024

Other information

Funding decision number

363934

Fields of science

Forestry

Research fields

Metsätieteet