Forest Flux - Forest Carbon Flux and Storage Mapping Service
Forest Flux will renew forestry value added services in Earth Observation (EO) by creating and piloting cloud-based services for committed users on forest carbon assimilation and structural variable prediction. The services utilize using Copernicus satellite data.
The services are driven by sustainable forest management, EU forest strategy, the Bioeconomy Action Pan, and the demands of environmentally aware end-users of wood industry products.
Until recently, detailed information on forest carbon cycle has not been available due to a lack of scientific understanding, spatial data availability, limited processing capacity, and the complexity of implementing this information in business processes.
Forest Flux will exploit the explosive increase of high-resolution EO data from the Copernicus program and developments of cloud computing technology. It will implement world-first service platform for high-resolution maps of traditional forestry variables together with forest carbon fluxes. Forest Flux will use a holistic approach in a single processing chain. By the end of the project, forestry and carbon data will be integrated into the decision-making processes of selected core users.
Forest Flux will establish the leadership of European industry in the sustainable utilization of forest resources. The relevant algorithms have been recently demonstrated by the consortium partners. The computing infrastructure is specifically targeted for EO data and forestry users, and it will be fully functional by the end of the project. The web-based human and machine interfaces will allow market access unrestricted by country boundaries and facilitate easy commercial interactions of players of different sizes and backgrounds.
Dedicated user involvement, strong commercial interests, rapidly developing online markets, and demonstrated excellence of the consortium make the Forest Flux service platform sustainable beyond the end of the project.
Forest Flux project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 821860.